EX_final_SVM_Primal_Class_Kernel_Necessity_.ipynb

{
  "cells": [
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
      },
      "source": [
        "<a href=\"https://colab.research.google.com/github/OptimizationExpert/Pyomo/blob/main/EX_final_SVM_Primal_Class_Kernel_Necessity_.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "VvJL0bOSIm84"
      },
      "source": [
        "Developed by Alireza Soroudi\n",
        "alireza.soroudi@gmail.com\n",
        "\n",
        "Linkedin News letter : https://www.linkedin.com/newsletters/optimization-in-open-source-6874020019009859585/\n",
        "\n",
        "Git hub: https://github.com/OptimizationExpert/Pyomo\n",
        "\n"
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "KR2SAKsbdoDb"
      },
      "execution_count": 34,
      "outputs": []
    },
    {
      "cell_type": "code",
      "execution_count": 52,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "w_3yuwV8XtMF",
        "outputId": "9ad11e7d-fce2-4a37-f617-cfc8c0137145"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Requirement already satisfied: pyomo in /usr/local/lib/python3.10/dist-packages (6.7.3)\n",
            "Requirement already satisfied: ply in /usr/local/lib/python3.10/dist-packages (from pyomo) (3.11)\n"
          ]
        }
      ],
      "source": [
        "!pip install pyomo\n",
        "import numpy as np\n",
        "from random import randint\n",
        "import random\n",
        "import time\n",
        "from math import ceil\n",
        "import matplotlib.pyplot as plt # Data visualization\n",
        "from pyomo.environ import *\n",
        "import numpy as np\n",
        "import pandas as pd\n",
        "\n",
        "\n",
        "!wget -N -q \"https://github.com/thomasfork/ipopt_linux/raw/main/ipopt-linux64.zip\"\n",
        "!unzip -o -q ipopt-linux64\n",
        "opt = SolverFactory('ipopt', executable='/content/ipopt')\n"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df=pd.DataFrame()\n",
        "N = 2000\n",
        "special = [0]*10+[1,-0.9]\n",
        "\n",
        "df['x1'] = [-1+2*random.random() for i in range(N)]\n",
        "df['x2'] = [-1+2*random.random() for i in range(N)]\n",
        "\n",
        "df['x1x2'] = df['x1']*df['x2']\n",
        "df['d1'] = df['x1'] + 0.5*abs(df['x1']-df['x2'])\n",
        "df['d2'] = df['x2'] + 0.5*abs(df['x1']-df['x2'])\n",
        "df['d3'] = df['x2']+df['x1']\n",
        "df['z'] = df['x1']**2 + df['x2']**2\n",
        "\n",
        "\n",
        "Y = []\n",
        "for i in range(N):\n",
        "  y= 0 if (df.loc[i,'x1']**2 + df.loc[i,'x2']**2 > 1) else 1\n",
        "  Y.append(y)\n",
        "df['output'] = Y\n",
        "df.describe()"
      ],
      "metadata": {
        "id": "4aq0puvcQmM0",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 300
        },
        "outputId": "ec4ef33e-c598-4dbe-83a3-89ca14f3fd57"
      },
      "execution_count": 76,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                x1           x2         x1x2           d1           d2  \\\n",
              "count  2000.000000  2000.000000  2000.000000  2000.000000  2000.000000   \n",
              "mean      0.014714     0.009056    -0.011780     0.351231     0.345574   \n",
              "std       0.575442     0.572701     0.333584     0.620686     0.614747   \n",
              "min      -0.997673    -0.999733    -0.967721    -0.944723    -0.959795   \n",
              "25%      -0.491006    -0.472562    -0.184978    -0.116591    -0.101658   \n",
              "50%       0.029515     0.019169    -0.001071     0.289124     0.283669   \n",
              "75%       0.510171     0.506526     0.172735     0.766715     0.762280   \n",
              "max       0.999587     0.999644     0.946079     1.970504     1.966760   \n",
              "\n",
              "                d3            z       output  \n",
              "count  2000.000000  2000.000000  2000.000000  \n",
              "mean      0.023770     0.659089     0.785500  \n",
              "std       0.797045     0.429625     0.410578  \n",
              "min      -1.919590     0.000346     0.000000  \n",
              "25%      -0.526213     0.303580     1.000000  \n",
              "50%       0.025234     0.617953     1.000000  \n",
              "75%       0.598267     0.948743     1.000000  \n",
              "max       1.945505     1.935479     1.000000  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-9757230d-133a-4381-8561-9141f27f5659\" class=\"colab-df-container\">\n",
              "    <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>x1</th>\n",
              "      <th>x2</th>\n",
              "      <th>x1x2</th>\n",
              "      <th>d1</th>\n",
              "      <th>d2</th>\n",
              "      <th>d3</th>\n",
              "      <th>z</th>\n",
              "      <th>output</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>count</th>\n",
              "      <td>2000.000000</td>\n",
              "      <td>2000.000000</td>\n",
              "      <td>2000.000000</td>\n",
              "      <td>2000.000000</td>\n",
              "      <td>2000.000000</td>\n",
              "      <td>2000.000000</td>\n",
              "      <td>2000.000000</td>\n",
              "      <td>2000.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>0.014714</td>\n",
              "      <td>0.009056</td>\n",
              "      <td>-0.011780</td>\n",
              "      <td>0.351231</td>\n",
              "      <td>0.345574</td>\n",
              "      <td>0.023770</td>\n",
              "      <td>0.659089</td>\n",
              "      <td>0.785500</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>0.575442</td>\n",
              "      <td>0.572701</td>\n",
              "      <td>0.333584</td>\n",
              "      <td>0.620686</td>\n",
              "      <td>0.614747</td>\n",
              "      <td>0.797045</td>\n",
              "      <td>0.429625</td>\n",
              "      <td>0.410578</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>-0.997673</td>\n",
              "      <td>-0.999733</td>\n",
              "      <td>-0.967721</td>\n",
              "      <td>-0.944723</td>\n",
              "      <td>-0.959795</td>\n",
              "      <td>-1.919590</td>\n",
              "      <td>0.000346</td>\n",
              "      <td>0.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>-0.491006</td>\n",
              "      <td>-0.472562</td>\n",
              "      <td>-0.184978</td>\n",
              "      <td>-0.116591</td>\n",
              "      <td>-0.101658</td>\n",
              "      <td>-0.526213</td>\n",
              "      <td>0.303580</td>\n",
              "      <td>1.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>0.029515</td>\n",
              "      <td>0.019169</td>\n",
              "      <td>-0.001071</td>\n",
              "      <td>0.289124</td>\n",
              "      <td>0.283669</td>\n",
              "      <td>0.025234</td>\n",
              "      <td>0.617953</td>\n",
              "      <td>1.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>0.510171</td>\n",
              "      <td>0.506526</td>\n",
              "      <td>0.172735</td>\n",
              "      <td>0.766715</td>\n",
              "      <td>0.762280</td>\n",
              "      <td>0.598267</td>\n",
              "      <td>0.948743</td>\n",
              "      <td>1.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>0.999587</td>\n",
              "      <td>0.999644</td>\n",
              "      <td>0.946079</td>\n",
              "      <td>1.970504</td>\n",
              "      <td>1.966760</td>\n",
              "      <td>1.945505</td>\n",
              "      <td>1.935479</td>\n",
              "      <td>1.000000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-9757230d-133a-4381-8561-9141f27f5659')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-9757230d-133a-4381-8561-9141f27f5659 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-9757230d-133a-4381-8561-9141f27f5659');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-e9ea8ca2-cecb-4f07-8006-788a2d68aaba\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-e9ea8ca2-cecb-4f07-8006-788a2d68aaba')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-e9ea8ca2-cecb-4f07-8006-788a2d68aaba button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "summary": "{\n  \"name\": \"df\",\n  \"rows\": 8,\n  \"fields\": [\n    {\n      \"column\": \"x1\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 707.0746981508521,\n        \"min\": -0.9976731009126687,\n        \"max\": 2000.0,\n        \"num_unique_values\": 8,\n        \"samples\": [\n          0.014713611315648037,\n          0.029515351130469325,\n          2000.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"x2\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 707.0749967037801,\n        \"min\": -0.9997329595272044,\n        \"max\": 2000.0,\n        \"num_unique_values\": 8,\n        \"samples\": [\n          0.009056363786444501,\n          0.019168703016578137,\n          2000.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"x1x2\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 707.0924947506089,\n        \"min\": -0.9677208531256185,\n        \"max\": 2000.0,\n        \"num_unique_values\": 8,\n        \"samples\": [\n          -0.011780098564905365,\n          -0.0010710910513369652,\n          2000.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"d1\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 706.9589216178692,\n        \"min\": -0.944722825622789,\n        \"max\": 2000.0,\n        \"num_unique_values\": 8,\n        \"samples\": [\n          0.35123090050668476,\n          0.2891240189877371,\n          2000.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"d2\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 706.9602040396645,\n        \"min\": -0.9597951663057688,\n        \"max\": 2000.0,\n        \"num_unique_values\": 8,\n        \"samples\": [\n          0.3455736529774812,\n          0.2836693310273314,\n          2000.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"d3\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 707.0599712409595,\n        \"min\": -1.9195903326115376,\n        \"max\": 2000.0,\n        \"num_unique_values\": 8,\n        \"samples\": [\n          0.023769975102092538,\n          0.02523374250970367,\n          2000.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"z\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 706.8597897562646,\n        \"min\": 0.0003463650069500085,\n        \"max\": 2000.0,\n        \"num_unique_values\": 8,\n        \"samples\": [\n          0.659088954521088,\n          0.6179531991030336,\n          2000.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"output\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 706.8444334644644,\n        \"min\": 0.0,\n        \"max\": 2000.0,\n        \"num_unique_values\": 5,\n        \"samples\": [\n          0.7855,\n          1.0,\n          0.4105776869467084\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 76
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Clean the data"
      ],
      "metadata": {
        "id": "ez4Vb1L3qzo3"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df"
      ],
      "metadata": {
        "id": "0vmcQWl0O257",
        "outputId": "2878abef-4603-4ecf-a3f5-c27a24ced113",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 423
        }
      },
      "execution_count": 77,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "            x1        x2      x1x2        d1        d2        d3         z  \\\n",
              "0    -0.504415  0.020533 -0.010357 -0.241941  0.283008 -0.483881  0.254856   \n",
              "1    -0.287532 -0.466706  0.134193 -0.197945 -0.377119 -0.754238  0.300489   \n",
              "2    -0.565685 -0.587869  0.332549 -0.554594 -0.576777 -1.153555  0.665590   \n",
              "3    -0.959288 -0.322053  0.308941 -0.640670 -0.003435 -1.281341  1.023951   \n",
              "4     0.983828  0.527573  0.519041  1.211955  0.755700  1.511401  1.246250   \n",
              "...        ...       ...       ...       ...       ...       ...       ...   \n",
              "1995 -0.744538 -0.610135  0.454268 -0.677336 -0.542933 -1.354673  0.926601   \n",
              "1996 -0.142480 -0.679543  0.096821  0.126052 -0.411011 -0.822023  0.482079   \n",
              "1997  0.865478 -0.164624 -0.142478  1.380529  0.350427  0.700854  0.776153   \n",
              "1998  0.465003  0.635825  0.295661  0.550414  0.721236  1.100828  0.620501   \n",
              "1999 -0.939258  0.998087 -0.937461  0.029414  1.966760  0.058829  1.878384   \n",
              "\n",
              "      output  \n",
              "0          1  \n",
              "1          1  \n",
              "2          1  \n",
              "3          0  \n",
              "4          0  \n",
              "...      ...  \n",
              "1995       1  \n",
              "1996       1  \n",
              "1997       1  \n",
              "1998       1  \n",
              "1999       0  \n",
              "\n",
              "[2000 rows x 8 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-c6b9029d-e978-401b-98cd-0f0e6b1f8c4e\" class=\"colab-df-container\">\n",
              "    <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>x1</th>\n",
              "      <th>x2</th>\n",
              "      <th>x1x2</th>\n",
              "      <th>d1</th>\n",
              "      <th>d2</th>\n",
              "      <th>d3</th>\n",
              "      <th>z</th>\n",
              "      <th>output</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>-0.504415</td>\n",
              "      <td>0.020533</td>\n",
              "      <td>-0.010357</td>\n",
              "      <td>-0.241941</td>\n",
              "      <td>0.283008</td>\n",
              "      <td>-0.483881</td>\n",
              "      <td>0.254856</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>-0.287532</td>\n",
              "      <td>-0.466706</td>\n",
              "      <td>0.134193</td>\n",
              "      <td>-0.197945</td>\n",
              "      <td>-0.377119</td>\n",
              "      <td>-0.754238</td>\n",
              "      <td>0.300489</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>-0.565685</td>\n",
              "      <td>-0.587869</td>\n",
              "      <td>0.332549</td>\n",
              "      <td>-0.554594</td>\n",
              "      <td>-0.576777</td>\n",
              "      <td>-1.153555</td>\n",
              "      <td>0.665590</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>-0.959288</td>\n",
              "      <td>-0.322053</td>\n",
              "      <td>0.308941</td>\n",
              "      <td>-0.640670</td>\n",
              "      <td>-0.003435</td>\n",
              "      <td>-1.281341</td>\n",
              "      <td>1.023951</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>0.983828</td>\n",
              "      <td>0.527573</td>\n",
              "      <td>0.519041</td>\n",
              "      <td>1.211955</td>\n",
              "      <td>0.755700</td>\n",
              "      <td>1.511401</td>\n",
              "      <td>1.246250</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1995</th>\n",
              "      <td>-0.744538</td>\n",
              "      <td>-0.610135</td>\n",
              "      <td>0.454268</td>\n",
              "      <td>-0.677336</td>\n",
              "      <td>-0.542933</td>\n",
              "      <td>-1.354673</td>\n",
              "      <td>0.926601</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1996</th>\n",
              "      <td>-0.142480</td>\n",
              "      <td>-0.679543</td>\n",
              "      <td>0.096821</td>\n",
              "      <td>0.126052</td>\n",
              "      <td>-0.411011</td>\n",
              "      <td>-0.822023</td>\n",
              "      <td>0.482079</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1997</th>\n",
              "      <td>0.865478</td>\n",
              "      <td>-0.164624</td>\n",
              "      <td>-0.142478</td>\n",
              "      <td>1.380529</td>\n",
              "      <td>0.350427</td>\n",
              "      <td>0.700854</td>\n",
              "      <td>0.776153</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1998</th>\n",
              "      <td>0.465003</td>\n",
              "      <td>0.635825</td>\n",
              "      <td>0.295661</td>\n",
              "      <td>0.550414</td>\n",
              "      <td>0.721236</td>\n",
              "      <td>1.100828</td>\n",
              "      <td>0.620501</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1999</th>\n",
              "      <td>-0.939258</td>\n",
              "      <td>0.998087</td>\n",
              "      <td>-0.937461</td>\n",
              "      <td>0.029414</td>\n",
              "      <td>1.966760</td>\n",
              "      <td>0.058829</td>\n",
              "      <td>1.878384</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>2000 rows × 8 columns</p>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-c6b9029d-e978-401b-98cd-0f0e6b1f8c4e')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-c6b9029d-e978-401b-98cd-0f0e6b1f8c4e button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-c6b9029d-e978-401b-98cd-0f0e6b1f8c4e');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-914a9528-f350-4925-904e-34de17409aa7\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-914a9528-f350-4925-904e-34de17409aa7')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-914a9528-f350-4925-904e-34de17409aa7 button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "  <div id=\"id_3b8e2245-1886-4c91-b1af-5bd53a3e8834\">\n",
              "    <style>\n",
              "      .colab-df-generate {\n",
              "        background-color: #E8F0FE;\n",
              "        border: none;\n",
              "        border-radius: 50%;\n",
              "        cursor: pointer;\n",
              "        display: none;\n",
              "        fill: #1967D2;\n",
              "        height: 32px;\n",
              "        padding: 0 0 0 0;\n",
              "        width: 32px;\n",
              "      }\n",
              "\n",
              "      .colab-df-generate:hover {\n",
              "        background-color: #E2EBFA;\n",
              "        box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "        fill: #174EA6;\n",
              "      }\n",
              "\n",
              "      [theme=dark] .colab-df-generate {\n",
              "        background-color: #3B4455;\n",
              "        fill: #D2E3FC;\n",
              "      }\n",
              "\n",
              "      [theme=dark] .colab-df-generate:hover {\n",
              "        background-color: #434B5C;\n",
              "        box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "        filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "        fill: #FFFFFF;\n",
              "      }\n",
              "    </style>\n",
              "    <button class=\"colab-df-generate\" onclick=\"generateWithVariable('df')\"\n",
              "            title=\"Generate code using this dataframe.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M7,19H8.4L18.45,9,17,7.55,7,17.6ZM5,21V16.75L18.45,3.32a2,2,0,0,1,2.83,0l1.4,1.43a1.91,1.91,0,0,1,.58,1.4,1.91,1.91,0,0,1-.58,1.4L9.25,21ZM18.45,9,17,7.55Zm-12,3A5.31,5.31,0,0,0,4.9,8.1,5.31,5.31,0,0,0,1,6.5,5.31,5.31,0,0,0,4.9,4.9,5.31,5.31,0,0,0,6.5,1,5.31,5.31,0,0,0,8.1,4.9,5.31,5.31,0,0,0,12,6.5,5.46,5.46,0,0,0,6.5,12Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "    <script>\n",
              "      (() => {\n",
              "      const buttonEl =\n",
              "        document.querySelector('#id_3b8e2245-1886-4c91-b1af-5bd53a3e8834 button.colab-df-generate');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      buttonEl.onclick = () => {\n",
              "        google.colab.notebook.generateWithVariable('df');\n",
              "      }\n",
              "      })();\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "df",
              "summary": "{\n  \"name\": \"df\",\n  \"rows\": 2000,\n  \"fields\": [\n    {\n      \"column\": \"x1\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.5754421750981283,\n        \"min\": -0.9976731009126687,\n        \"max\": 0.9995874318114284,\n        \"num_unique_values\": 2000,\n        \"samples\": [\n          -0.5538173056732638,\n          -0.03837667341651829,\n          -0.5756063070776436\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"x2\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.5727008901334651,\n        \"min\": -0.9997329595272044,\n        \"max\": 0.9996436129068129,\n        \"num_unique_values\": 2000,\n        \"samples\": [\n          0.27420078881783594,\n          -0.2942748438606655,\n          0.09242812802380063\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"x1x2\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.3335842548245491,\n        \"min\": -0.9677208531256185,\n        \"max\": 0.946078737005127,\n        \"num_unique_values\": 2000,\n        \"samples\": [\n          -0.1518571420765775,\n          0.011293289577537672,\n          -0.05320221344187954\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"d1\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.6206857544629462,\n        \"min\": -0.944722825622789,\n        \"max\": 1.9705043167875251,\n        \"num_unique_values\": 2000,\n        \"samples\": [\n          -0.13980825842771394,\n          0.08957241180555531,\n          -0.24158908952692149\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"d2\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.614747322076952,\n        \"min\": -0.9597951663057688,\n        \"max\": 1.966759778655637,\n        \"num_unique_values\": 2000,\n        \"samples\": [\n          0.6882098360633858,\n          -0.1663257586385919,\n          0.42644534557452274\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"d3\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.7970454104805493,\n        \"min\": -1.9195903326115376,\n        \"max\": 1.9455054412170538,\n        \"num_unique_values\": 2000,\n        \"samples\": [\n          -0.2796165168554279,\n          -0.3326515172771838,\n          -0.48317817905384297\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"z\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.4296251775955506,\n        \"min\": 0.0003463650069500085,\n        \"max\": 1.935478644762589,\n        \"num_unique_values\": 2000,\n        \"samples\": [\n          0.3818996806515168,\n          0.08807045279173716,\n          0.3398655795975466\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"output\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 0,\n        \"max\": 1,\n        \"num_unique_values\": 2,\n        \"samples\": [\n          0,\n          1\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 77
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "plt.scatter(df['x1'],df['x2'],c=df['output'])\n",
        "for i in range(len(df)):\n",
        "  plt.text(df.loc[i,'x1'],df.loc[i,'x2'],s=str(i))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 430
        },
        "id": "2V56FDCSwVnO",
        "outputId": "0291723a-a4ac-4fe1-da48-b509cfb1f0d6"
      },
      "execution_count": 78,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "J_set = [c for c in df.columns if c not in [\"output\"] ]\n",
        "\n",
        "J_set"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "4ohtoAz29E2z",
        "outputId": "cee2aebd-b6ba-493c-e706-83a427c0a981"
      },
      "execution_count": 79,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['x1', 'x2', 'x1x2', 'd1', 'd2', 'd3', 'z']"
            ]
          },
          "metadata": {},
          "execution_count": 79
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "#Data Processing\n",
        "\n",
        "\n"
      ],
      "metadata": {
        "id": "wwHh7pzAO1TM"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df"
      ],
      "metadata": {
        "id": "dVsmHHns-6kp",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 423
        },
        "outputId": "cfa25192-2052-41f2-f50e-84655438405c"
      },
      "execution_count": 80,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "            x1        x2      x1x2        d1        d2        d3         z  \\\n",
              "0    -0.504415  0.020533 -0.010357 -0.241941  0.283008 -0.483881  0.254856   \n",
              "1    -0.287532 -0.466706  0.134193 -0.197945 -0.377119 -0.754238  0.300489   \n",
              "2    -0.565685 -0.587869  0.332549 -0.554594 -0.576777 -1.153555  0.665590   \n",
              "3    -0.959288 -0.322053  0.308941 -0.640670 -0.003435 -1.281341  1.023951   \n",
              "4     0.983828  0.527573  0.519041  1.211955  0.755700  1.511401  1.246250   \n",
              "...        ...       ...       ...       ...       ...       ...       ...   \n",
              "1995 -0.744538 -0.610135  0.454268 -0.677336 -0.542933 -1.354673  0.926601   \n",
              "1996 -0.142480 -0.679543  0.096821  0.126052 -0.411011 -0.822023  0.482079   \n",
              "1997  0.865478 -0.164624 -0.142478  1.380529  0.350427  0.700854  0.776153   \n",
              "1998  0.465003  0.635825  0.295661  0.550414  0.721236  1.100828  0.620501   \n",
              "1999 -0.939258  0.998087 -0.937461  0.029414  1.966760  0.058829  1.878384   \n",
              "\n",
              "      output  \n",
              "0          1  \n",
              "1          1  \n",
              "2          1  \n",
              "3          0  \n",
              "4          0  \n",
              "...      ...  \n",
              "1995       1  \n",
              "1996       1  \n",
              "1997       1  \n",
              "1998       1  \n",
              "1999       0  \n",
              "\n",
              "[2000 rows x 8 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-eac23c6c-61c4-43ea-8575-9a24f51e2e6e\" class=\"colab-df-container\">\n",
              "    <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>x1</th>\n",
              "      <th>x2</th>\n",
              "      <th>x1x2</th>\n",
              "      <th>d1</th>\n",
              "      <th>d2</th>\n",
              "      <th>d3</th>\n",
              "      <th>z</th>\n",
              "      <th>output</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>-0.504415</td>\n",
              "      <td>0.020533</td>\n",
              "      <td>-0.010357</td>\n",
              "      <td>-0.241941</td>\n",
              "      <td>0.283008</td>\n",
              "      <td>-0.483881</td>\n",
              "      <td>0.254856</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>-0.287532</td>\n",
              "      <td>-0.466706</td>\n",
              "      <td>0.134193</td>\n",
              "      <td>-0.197945</td>\n",
              "      <td>-0.377119</td>\n",
              "      <td>-0.754238</td>\n",
              "      <td>0.300489</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>-0.565685</td>\n",
              "      <td>-0.587869</td>\n",
              "      <td>0.332549</td>\n",
              "      <td>-0.554594</td>\n",
              "      <td>-0.576777</td>\n",
              "      <td>-1.153555</td>\n",
              "      <td>0.665590</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>-0.959288</td>\n",
              "      <td>-0.322053</td>\n",
              "      <td>0.308941</td>\n",
              "      <td>-0.640670</td>\n",
              "      <td>-0.003435</td>\n",
              "      <td>-1.281341</td>\n",
              "      <td>1.023951</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>0.983828</td>\n",
              "      <td>0.527573</td>\n",
              "      <td>0.519041</td>\n",
              "      <td>1.211955</td>\n",
              "      <td>0.755700</td>\n",
              "      <td>1.511401</td>\n",
              "      <td>1.246250</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1995</th>\n",
              "      <td>-0.744538</td>\n",
              "      <td>-0.610135</td>\n",
              "      <td>0.454268</td>\n",
              "      <td>-0.677336</td>\n",
              "      <td>-0.542933</td>\n",
              "      <td>-1.354673</td>\n",
              "      <td>0.926601</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1996</th>\n",
              "      <td>-0.142480</td>\n",
              "      <td>-0.679543</td>\n",
              "      <td>0.096821</td>\n",
              "      <td>0.126052</td>\n",
              "      <td>-0.411011</td>\n",
              "      <td>-0.822023</td>\n",
              "      <td>0.482079</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1997</th>\n",
              "      <td>0.865478</td>\n",
              "      <td>-0.164624</td>\n",
              "      <td>-0.142478</td>\n",
              "      <td>1.380529</td>\n",
              "      <td>0.350427</td>\n",
              "      <td>0.700854</td>\n",
              "      <td>0.776153</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1998</th>\n",
              "      <td>0.465003</td>\n",
              "      <td>0.635825</td>\n",
              "      <td>0.295661</td>\n",
              "      <td>0.550414</td>\n",
              "      <td>0.721236</td>\n",
              "      <td>1.100828</td>\n",
              "      <td>0.620501</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1999</th>\n",
              "      <td>-0.939258</td>\n",
              "      <td>0.998087</td>\n",
              "      <td>-0.937461</td>\n",
              "      <td>0.029414</td>\n",
              "      <td>1.966760</td>\n",
              "      <td>0.058829</td>\n",
              "      <td>1.878384</td>\n",
              "      <td>0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>2000 rows × 8 columns</p>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-eac23c6c-61c4-43ea-8575-9a24f51e2e6e')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\" viewBox=\"0 -960 960 960\">\n",
              "    <path d=\"M120-120v-720h720v720H120Zm60-500h600v-160H180v160Zm220 220h160v-160H400v160Zm0 220h160v-160H400v160ZM180-400h160v-160H180v160Zm440 0h160v-160H620v160ZM180-180h160v-160H180v160Zm440 0h160v-160H620v160Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "      fill: #174EA6;\n",
              "    }\n",
              "\n",
              "    .colab-df-buttons div {\n",
              "      margin-bottom: 4px;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-eac23c6c-61c4-43ea-8575-9a24f51e2e6e button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-eac23c6c-61c4-43ea-8575-9a24f51e2e6e');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-3bd58a37-71a5-4f23-b464-9d95541c429f\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-3bd58a37-71a5-4f23-b464-9d95541c429f')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-3bd58a37-71a5-4f23-b464-9d95541c429f button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "  <div id=\"id_2550c962-a3d5-40da-95c3-ab945cdef350\">\n",
              "    <style>\n",
              "      .colab-df-generate {\n",
              "        background-color: #E8F0FE;\n",
              "        border: none;\n",
              "        border-radius: 50%;\n",
              "        cursor: pointer;\n",
              "        display: none;\n",
              "        fill: #1967D2;\n",
              "        height: 32px;\n",
              "        padding: 0 0 0 0;\n",
              "        width: 32px;\n",
              "      }\n",
              "\n",
              "      .colab-df-generate:hover {\n",
              "        background-color: #E2EBFA;\n",
              "        box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "        fill: #174EA6;\n",
              "      }\n",
              "\n",
              "      [theme=dark] .colab-df-generate {\n",
              "        background-color: #3B4455;\n",
              "        fill: #D2E3FC;\n",
              "      }\n",
              "\n",
              "      [theme=dark] .colab-df-generate:hover {\n",
              "        background-color: #434B5C;\n",
              "        box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "        filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "        fill: #FFFFFF;\n",
              "      }\n",
              "    </style>\n",
              "    <button class=\"colab-df-generate\" onclick=\"generateWithVariable('df')\"\n",
              "            title=\"Generate code using this dataframe.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M7,19H8.4L18.45,9,17,7.55,7,17.6ZM5,21V16.75L18.45,3.32a2,2,0,0,1,2.83,0l1.4,1.43a1.91,1.91,0,0,1,.58,1.4,1.91,1.91,0,0,1-.58,1.4L9.25,21ZM18.45,9,17,7.55Zm-12,3A5.31,5.31,0,0,0,4.9,8.1,5.31,5.31,0,0,0,1,6.5,5.31,5.31,0,0,0,4.9,4.9,5.31,5.31,0,0,0,6.5,1,5.31,5.31,0,0,0,8.1,4.9,5.31,5.31,0,0,0,12,6.5,5.46,5.46,0,0,0,6.5,12Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "    <script>\n",
              "      (() => {\n",
              "      const buttonEl =\n",
              "        document.querySelector('#id_2550c962-a3d5-40da-95c3-ab945cdef350 button.colab-df-generate');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      buttonEl.onclick = () => {\n",
              "        google.colab.notebook.generateWithVariable('df');\n",
              "      }\n",
              "      })();\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "df",
              "summary": "{\n  \"name\": \"df\",\n  \"rows\": 2000,\n  \"fields\": [\n    {\n      \"column\": \"x1\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.5754421750981283,\n        \"min\": -0.9976731009126687,\n        \"max\": 0.9995874318114284,\n        \"num_unique_values\": 2000,\n        \"samples\": [\n          -0.5538173056732638,\n          -0.03837667341651829,\n          -0.5756063070776436\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"x2\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.5727008901334651,\n        \"min\": -0.9997329595272044,\n        \"max\": 0.9996436129068129,\n        \"num_unique_values\": 2000,\n        \"samples\": [\n          0.27420078881783594,\n          -0.2942748438606655,\n          0.09242812802380063\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"x1x2\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.3335842548245491,\n        \"min\": -0.9677208531256185,\n        \"max\": 0.946078737005127,\n        \"num_unique_values\": 2000,\n        \"samples\": [\n          -0.1518571420765775,\n          0.011293289577537672,\n          -0.05320221344187954\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"d1\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.6206857544629462,\n        \"min\": -0.944722825622789,\n        \"max\": 1.9705043167875251,\n        \"num_unique_values\": 2000,\n        \"samples\": [\n          -0.13980825842771394,\n          0.08957241180555531,\n          -0.24158908952692149\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"d2\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.614747322076952,\n        \"min\": -0.9597951663057688,\n        \"max\": 1.966759778655637,\n        \"num_unique_values\": 2000,\n        \"samples\": [\n          0.6882098360633858,\n          -0.1663257586385919,\n          0.42644534557452274\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"d3\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.7970454104805493,\n        \"min\": -1.9195903326115376,\n        \"max\": 1.9455054412170538,\n        \"num_unique_values\": 2000,\n        \"samples\": [\n          -0.2796165168554279,\n          -0.3326515172771838,\n          -0.48317817905384297\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"z\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.4296251775955506,\n        \"min\": 0.0003463650069500085,\n        \"max\": 1.935478644762589,\n        \"num_unique_values\": 2000,\n        \"samples\": [\n          0.3818996806515168,\n          0.08807045279173716,\n          0.3398655795975466\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"output\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 0,\n        \"max\": 1,\n        \"num_unique_values\": 2,\n        \"samples\": [\n          0,\n          1\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 80
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "J_set"
      ],
      "metadata": {
        "id": "eoezWqgXje1e",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "5c2f09b9-c7a6-4733-960b-58fa19a860d0"
      },
      "execution_count": 81,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "['x1', 'x2', 'x1x2', 'd1', 'd2', 'd3', 'z']"
            ]
          },
          "metadata": {},
          "execution_count": 81
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "n = len(df)\n",
        "from sklearn.model_selection import train_test_split\n",
        "train_df, test_df = train_test_split(df, test_size=0.2, random_state=42)\n",
        "test_df.head(), len(test_df)"
      ],
      "metadata": {
        "id": "Cv5EhKYtkSpR",
        "outputId": "3fb6e6a1-5d07-4695-e629-0ec59cccc916",
        "colab": {
          "base_uri": "https://localhost:8080/"
        }
      },
      "execution_count": 82,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(            x1        x2      x1x2        d1        d2        d3         z  \\\n",
              " 1860 -0.553817  0.274201 -0.151857 -0.139808  0.688210 -0.279617  0.381900   \n",
              " 353  -0.038377 -0.294275  0.011293  0.089572 -0.166326 -0.332652  0.088070   \n",
              " 1333 -0.575606  0.092428 -0.053202 -0.241589  0.426445 -0.483178  0.339866   \n",
              " 905  -0.270282 -0.544836  0.147259 -0.133005 -0.407559 -0.815118  0.369898   \n",
              " 1289  0.602497 -0.121382 -0.073132  0.964437  0.240558  0.481116  0.377737   \n",
              " \n",
              "       output  \n",
              " 1860       1  \n",
              " 353        1  \n",
              " 1333       1  \n",
              " 905        1  \n",
              " 1289       1  ,\n",
              " 400)"
            ]
          },
          "metadata": {},
          "execution_count": 82
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "qsifuCh2FhHW"
      },
      "execution_count": 42,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "![Screenshot 2024-08-08 at 22.32.18.png](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAx4AAAEOCAYAAAAHc8GMAAAMPmlDQ1BJQ0MgUHJvZmlsZQAASImVVwdYU8kWnltSIbTQpYTeBBEpAaSE0AJIL4KNkAQIJcZAULEjiwquXSxgQ1dFFDsgFhRRLCyKvS8WFJR1sWBX3qSArvvK9873zb3//efMf86cO7cMAOonuWJxDqoBQK4oXxIbEsAYm5zCIHUDMkCAHsCBCZeXJ2ZFR0cAaIPnv9u7G9AX2lVHmdY/+/+rafIFeTwAkGiI0/h5vFyIDwGAV/LEknwAiDLeYmq+WIZhA9oSmCDEC2U4Q4ErZThNgffJfeJj2RC3AEBW5XIlGQCoXYY8o4CXATXU+iB2FvGFIgDUGRD75uZO5kOcCrEt9BFDLNNnpv2gk/E3zbQhTS43Ywgr5iI3cqAwT5zDnf5/luN/W26OdDCGNWyqmZLQWNmcYd1uZU8Ol2FViHtFaZFREGtB/EHIl/tDjFIzpaEJCn/UiJfHhjUDuhA787mB4RAbQRwsyomMUPJp6cJgDsRwhaDThPmceIj1IV4oyAuKU/pslkyOVcZC69IlbJaSP8eVyOPKYj2QZiewlPqvMwUcpT6mVpgZnwQxFWLLAmFiJMRqEDvlZceFK31GF2ayIwd9JNJYWf6WEMcKRCEBCn2sIF0SHKv0L83NG5wvtjlTyIlU4gP5mfGhivpgLTyuPH84F+yyQMRKGNQR5I2NGJwLXxAYpJg71i0QJcQpdT6I8wNiFWNxqjgnWumPmwtyQmS8OcSueQVxyrF4Yj5ckAp9PF2cHx2vyBMvzOKGRSvywZeBCMAGgYABpLClgckgCwjbe+t74ZWiJxhwgQRkAAFwVDKDI5LkPSJ4jAOF4E+IBCBvaFyAvFcACiD/dYhVHB1Bury3QD4iGzyFOBeEgxx4LZWPEg1FSwRPICP8R3QubDyYbw5ssv5/zw+y3xkWZCKUjHQwIkN90JMYRAwkhhKDiXa4Ie6Le+MR8OgPmwvOxD0H5/Hdn/CU0EF4RLhO6CTcniQskvyU5RjQCfWDlbVI+7EWuDXUdMMDcB+oDpVxXdwQOOKuMA4L94OR3SDLVuYtqwrjJ+2/zeCHu6H0ozhTUIoexZ9i+/NINXs1tyEVWa1/rI8i17SherOHen6Oz/6h+nx4Dv/ZE1uIHcRasVPYeewYVg8YWBPWgLVhx2V4aHU9ka+uwWix8nyyoY7wH/EG76ysknnONc49zl8UffmCabJ3NGBPFk+XCDMy8xks+EUQMDgintNwhouziysAsu+L4vX1Jkb+3UB0275z8/8AwKdpYGDg6HcurAmA/R7w8T/ynbNlwk+HCgDnjvCkkgIFh8sOBPiWUIdPmgEwARbAFs7HBbgDb+APgkAYiALxIBlMhNlnwnUuAVPBTDAPlIAysAysBuvBJrAV7AR7wAFQD46BU+AsuAgug+vgLlw9XeAF6APvwGcEQUgIDaEjBogpYoU4IC4IE/FFgpAIJBZJRlKRDESESJGZyHykDFmBrEe2INXIfuQIcgo5j3Qgt5GHSA/yGvmEYqgqqo0ao9boCJSJstBwNB6dgGagU9BCtBhdgq5Fq9DdaB16Cr2IXkc70RdoPwYwFUwXM8McMSbGxqKwFCwdk2CzsVKsHKvCarFGeJ+vYp1YL/YRJ+J0nIE7whUciifgPHwKPhtfjK/Hd+J1eAt+FX+I9+HfCDSCEcGB4EXgEMYSMghTCSWEcsJ2wmHCGfgsdRHeEYlEXaIN0QM+i8nELOIM4mLiBuJe4kliB/ExsZ9EIhmQHEg+pCgSl5RPKiGtI+0mNZGukLpIH8gqZFOyCzmYnEIWkYvI5eRd5BPkK+Rn5M8UDYoVxYsSReFTplOWUrZRGimXKF2Uz1RNqg3VhxpPzaLOo66l1lLPUO9R36ioqJireKrEqAhV5qqsVdmnck7locpHVS1Ve1W26nhVqeoS1R2qJ1Vvq76h0WjWNH9aCi2ftoRWTTtNe0D7oEZXc1LjqPHV5qhVqNWpXVF7qU5Rt1JnqU9UL1QvVz+ofkm9V4OiYa3B1uBqzNao0DiicVOjX5OuOVIzSjNXc7HmLs3zmt1aJC1rrSAtvlax1lat01qP6Rjdgs6m8+jz6dvoZ+hd2kRtG22OdpZ2mfYe7XbtPh0tHVedRJ1pOhU6x3U6dTFda12Obo7uUt0Dujd0P+kZ67H0BHqL9Gr1rui91x+m768v0C/V36t/Xf+TAcMgyCDbYLlBvcF9Q9zQ3jDGcKrhRsMzhr3DtId5D+MNKx12YNgdI9TI3ijWaIbRVqM2o35jE+MQY7HxOuPTxr0muib+Jlkmq0xOmPSY0k19TYWmq0ybTJ8zdBgsRg5jLaOF0WdmZBZqJjXbYtZu9tncxjzBvMh8r/l9C6oF0yLdYpVFs0WfpanlGMuZljWWd6woVkyrTKs1Vq1W761trJOsF1jXW3fb6NtwbAptamzu2dJs/Wyn2FbZXrMj2jHtsu022F22R+3d7DPtK+wvOaAO7g5Chw0OHcMJwz2Hi4ZXDb/pqOrIcixwrHF86KTrFOFU5FTv9HKE5YiUEctHtI745uzmnOO8zfnuSK2RYSOLRjaOfO1i78JzqXC5Noo2KnjUnFENo165OrgKXDe63nKju41xW+DW7PbV3cNd4l7r3uNh6ZHqUelxk6nNjGYuZp7zJHgGeM7xPOb50cvdK9/rgNdf3o7e2d67vLtH24wWjN42+rGPuQ/XZ4tPpy/DN9V3s2+nn5kf16/K75G/hT/ff7v/M5YdK4u1m/UywDlAEnA44D3biz2LfTIQCwwJLA1sD9IKSghaH/Qg2Dw4I7gmuC/ELWRGyMlQQmh46PLQmxxjDo9TzekL8wibFdYSrhoeF74+/FGEfYQkonEMOiZszMox9yKtIkWR9VEgihO1Mup+tE30lOijMcSY6JiKmKexI2NnxrbG0eMmxe2KexcfEL80/m6CbYI0oTlRPXF8YnXi+6TApBVJnWNHjJ019mKyYbIwuSGFlJKYsj2lf1zQuNXjusa7jS8Zf2OCzYRpE85PNJyYM/H4JPVJ3EkHUwmpSam7Ur9wo7hV3P40TlplWh+PzVvDe8H356/i9wh8BCsEz9J90lekd2f4ZKzM6Mn0yyzP7BWyheuFr7JCszZlvc+Oyt6RPZCTlLM3l5ybmntEpCXKFrVMNpk8bXKH2EFcIu6c4jVl9ZQ+Sbhkex6SNyGvIV8b/si3SW2lv0gfFvgWVBR8mJo49eA0zWmiaW3T7acvmv6sMLjwtxn4DN6M5plmM+fNfDiLNWvLbGR22uzmORZziud0zQ2Zu3MedV72vN+LnItWFL2dnzS/sdi4eG7x419CfqkpUSuRlNxc4L1g00J8oXBh+6JRi9Yt+lbKL71Q5lxWXvZlMW/xhV9H/rr214El6Uval7ov3biMuEy07MZyv+U7V2iuKFzxeOWYlXWrGKtKV71dPWn1+XLX8k1rqGukazrXRqxtWGe5btm6L+sz11+vCKjYW2lUuajy/Qb+hisb/TfWbjLeVLbp02bh5ltbQrbUVVlXlW8lbi3Y+nRb4rbW35i/VW833F62/esO0Y7OnbE7W6o9qqt3Ge1aWoPWSGt6do/ffXlP4J6GWsfaLXt195btA/uk+57vT91/40D4geaDzIO1h6wOVR6mHy6tQ+qm1/XVZ9Z3NiQ3dBwJO9Lc6N14+KjT0R3HzI5VHNc5vvQE9UTxiYGmwqb+k+KTvacyTj1untR89/TY09daYlraz4SfOXc2+OzpVlZr0zmfc8fOe50/coF5of6i+8W6Nre2w7+7/X643b297pLHpYbLnpcbO0Z3nLjid+XU1cCrZ69xrl28Hnm940bCjVs3x9/svMW/1X075/arOwV3Pt+de49wr/S+xv3yB0YPqv6w+2Nvp3vn8YeBD9sexT26+5j3+MWTvCdfuoqf0p6WPzN9Vt3t0n2sJ7jn8vNxz7teiF987i35U/PPype2Lw/95f9XW9/Yvq5XklcDrxe/MXiz463r2+b+6P4H73LffX5f+sHgw86PzI+tn5I+Pfs89Qvpy9qvdl8bv4V/uzeQOzAg5kq48l8BDDY0PR2A1zsAoCUDQIf7M+o4xf5PbohizypH4D9hxR5Rbu4A1ML/95he+HdzE4B92+D2C+qrjwcgmgZAvCdAR40aaoN7Nfm+UmZEuA/YHPU1LTcN/BtT7Dl/yPvnM5CpuoKfz/8Ck7N8TWH4F7QAAACKZVhJZk1NACoAAAAIAAQBGgAFAAAAAQAAAD4BGwAFAAAAAQAAAEYBKAADAAAAAQACAACHaQAEAAAAAQAAAE4AAAAAAAAAkAAAAAEAAACQAAAAAQADkoYABwAAABIAAAB4oAIABAAAAAEAAAMeoAMABAAAAAEAAAEOAAAAAEFTQ0lJAAAAU2NyZWVuc2hvdJywaAoAAAAJcEhZcwAAFiUAABYlAUlSJPAAAAHWaVRYdFhNTDpjb20uYWRvYmUueG1wAAAAAAA8eDp4bXBtZXRhIHhtbG5zOng9ImFkb2JlOm5zOm1ldGEvIiB4OnhtcHRrPSJYTVAgQ29yZSA2LjAuMCI+CiAgIDxyZGY6UkRGIHhtbG5zOnJkZj0iaHR0cDovL3d3dy53My5vcmcvMTk5OS8wMi8yMi1yZGYtc3ludGF4LW5zIyI+CiAgICAgIDxyZGY6RGVzY3JpcHRpb24gcmRmOmFib3V0PSIiCiAgICAgICAgICAgIHhtbG5zOmV4aWY9Imh0dHA6Ly9ucy5hZG9iZS5jb20vZXhpZi8xLjAvIj4KICAgICAgICAgPGV4aWY6UGl4ZWxZRGltZW5zaW9uPjI3MDwvZXhpZjpQaXhlbFlEaW1lbnNpb24+CiAgICAgICAgIDxleGlmOlBpeGVsWERpbWVuc2lvbj43OTg8L2V4aWY6UGl4ZWxYRGltZW5zaW9uPgogICAgICAgICA8ZXhpZjpVc2VyQ29tbWVudD5TY3JlZW5zaG90PC9leGlmOlVzZXJDb21tZW50PgogICAgICA8L3JkZjpEZXNjcmlwdGlvbj4KICAgPC9yZGY6UkRGPgo8L3g6eG1wbWV0YT4KTb1gYAAAABxpRE9UAAAAAgAAAAAAAACHAAAAKAAAAIcAAACHAABM5FtKJ9oAAEAASURBVHgB7J0JnE3l/8e/s5gZZrEWJUtKQpS0k7KltCqtWpUW9OvfqlKJlPZVpRUlbUILlaUiKpWEUtQvfkkUhmHGzJjt/3yecc6cc+6569w7d5nP91XuWZ7znOe8z52Z8znPd0mqUCY0EiABEiABEiABEiABEiABEogggSQKjwjSZdckQAIkQAIkQAIkQAIkQAKaAIUHvwgkQAIkQAIkQAIkQAIkQAIRJ0DhEXHEPAEJkAAJkAAJkAAJkAAJkACFB78DJEACJEACJEACJEACJEACESdA4RFxxDwBCZAACZAACZAACZAACZAAhQe/AyRAAiRAAiRAAiRAAiRAAhEnQOERccQ8AQmQAAmQAAmQAAmQAAmQAIUHvwMkQAIkQAIkQAIkQAIkQAIRJ0DhEXHEPAEJkAAJkAAJkAAJkAAJkACFB78DJEACJEACJEACJEACJEACESdA4RFxxDwBCZAACZAACZAACZAACZAAhQe/AyRAAiRAAiRAAiRAAiRAAhEnQOERccQ8AQmQAAmQAAmQAAmQAAmQAIUHvwMkQAIkQAIkQAIkQAIkQAIRJ0DhEXHEPAEJkAAJkAAJkAAJkAAJkACFB78DJEACJEACJEACJEACJEACESdA4RFxxDxBbSLw448/yvz582XFihWSm5srXbt2leOOO066d+8u9erVq00oeK0kQAIkQAIkQAIkYCNA4WHDwRUSCI1AcXGx3H333fL4449LWVmZRyedOnWSOXPmSLNmzTz2cQMJkAAJkAAJkAAJ1AYCFB614S7zGiNO4LrrrpMJEybo8xgzG7t27bKd94ADDpDPP/9cWrRoYdvOFRIgARIgARIgARKoDQQoPGrDXeY1RpQAxETv3r2lY8eOWnx069ZNKioqZM2aNXL77bfLzJkzzfNjVmTMmDHmOhdIgARIgARIgARIoLYQoPCoLXea1xkxAgMGDJCvv/5ali5dKs2bN/c4z6mnniqzZ8/W2xHvsXjxYo823EACJEACJEACJEACiU6AwiPR7zCvL6IEENvRuHFjeeKJJ2TIkCGu50LAeZcuXfS+1NRU2blzp2RkZLi25UYSIAESIAESIAESSFQCFB6Jemd5XTVC4PfffxfEd8yaNUvS0tJcz1lSUiJ169bVQecQHkVFRZKSkuLalhtJgARIgARIgARIIFEJUHgk6p3ldcUMAcR7pKenCwQIAswhVmgkQAIkQAIkQAIkUNsIUHjUtjvO661xAhs2bJD99ttPn/eWW26RRx55pMbHwBOSAAmQAAmQAAmQQLQJUHhE+w7w/AlP4Pnnn5ehQ4cK3Kx+/vlnOeiggxL+mnmBJEACJEACJEACJOAkQOHhJML1kAmsX79eDj30UMnPz9d9wKWoZcuWIfcX7QOnTZsmgwYN0qlxDzzwQFm1alVIQzryyCPl+++/16l1x40bF1IfPIgESIAESIAESIAE4p0AhUe838EYGv8PP/wgXbt2NUe0bt06adWqlbkebwsPP/ywjBgxQg8bwuO3334L+hImT54sl19+uRxyyCHy3XffMZtV0AR5AAmQAAmQAAmQQKIQoPBIlDsZA9dB4WG/CRs3bpTOnTtrF6slS5bE9eyP/cq4RgIkQAIkQAIkQALBE6DwCJ4Zj/BCgMKjCsyuXbvkhBNOkF9//VU+++wzgbsVjQRIgARIgARIgARqMwEKj9p898N87RQelUDLy8tl4MCBulo56nv07t07zKTZHQmQQLQIVBSVSulvm6V0/XYp27hDynN3ScWOIikv2C0VRSUian9FablIWXnlp1SIqFUVLBatIfO8JEACiUwgKUkkGReYJEmpaiElufIzI1WSMupIcmaaJOVkSHKjepKyT46ktmggqQc2kaS6daJChcIjKtgT86QUHni2qJCrr75aJk2aJAhOP/PMMxPzZvOqSKAWEagoLpXiRX9I8cI/pOSXf5SQoIioRbefl0oCiUcgOUnqtG8q6T3aSHr3NpKUnlpj10jhUWOoE/9EFB4iN998szzxxBOCoPJLLrnE9aYvW7ZMUNvjtNNOc93PjSRAArFBoELNYuyasVKK5q4WLNNIgARIINEIJKkZkYy+7aTegE6C5UgbhUekCdei/mu78BgzZoyMGjVKxo8fL8OGDXO981u3bpVu3brJDTfcINddd51rG24kARKIPoGieWuk4I2lUrGzOPqD4QhIgARIIMIEkrLTJXNQV8noE9laYxQeEb6Rtan72iw8nnzySbnxxht1ulxUJ3cz1DWZP3++FBQUCDJe5eTkuDXjNhIggSgSqMgvlp3PLpLd362P4ih4ahIgARKIDoG0I1tK9rBukpSVHpEBUHhEBGvt7LS2Co9XX31VrrrqKh3fEcidR12PiRMnBtKUbUiABGqQQPnmfMkbO1fKNuTV4Fl5KhIgARKILQIpzetL/bv6SvJeWWEfGIVH2JHW3g7DKTxQrK9evXrSvHlzv0C3bdsmSSqrQ4MGDVzblpaWysqVK2X//ff32sbtwEAKCP7888+6WntZWZlbF67bFi9eLMcdd5zrPm4kARKIDgGIju0jZ+ssVdEZAc9KAiRAArFDAFmwGtzfP+zig8Ijdu5x3I8kVOGxdu1aWbhwoaxYsUL/v3z5ctm8ebO0aNFC/vzzT59ctmzZoh/8L7jgAnnsscc82qKfTp06yT///CNpaWny5ptvytlnn+3Rzm1DIMIDouaPP/5wO9x1GwRS27ZtXfdxIwmQQHQIwL0KooMzHdHhz7OSAAnEJgHMfEB8hNPtisIjNu91XI4qVOHx4IMPyoQJE7TIQDpaq0F4QIB4s8suu0xee+01ufDCC2Xq1Kkezd59910577zzzO0HHnigYDYlEAtEeATSD9uQAAnENoEdD81nTEds3yKOjgRIIEoE0o5sITkjwlePjMIjSjcyEU8bqvAwWMBlql+/fvLdd98Zm3QRvlNOOcVcty4gULtPnz56U69evXTgtnU/liFc2rdvL6gkDsOMQ3FxsdSp479wDoWHRsZ/SCChCRTNXSP5L3yV0NfIiyMBEiCB6hDIuva4sGW7ovCozp3gsTYC1RUe6Ozll1+WIUOGmP3i4f/WW281142FoqIi7UKFTFGwjh07yk8//WTstn1i1gOuWKgoDhGyatUq235vKxQe3shwOwkkBgHU5sgd/h5T5ibG7eRVkAAJRIgAUu02Gn9OWOp8UHhE6CbVxm7DITwQBN65c2cTH6qAv/DCC+a6sXDnnXfKuHHjjFVp3LixIN7Dm51zzjkyffp0LWpefPFFb81s2yk8bDi4QgIJR6BgylIpnLky4a6LF0QCJEAC4SZQ96xOknlx12p3S+FRbYTswCAQDuGBYO3MzEzZvbuySnDfvn1lzpw5xin0J8RJ165dpaSkxNwOFyock5qaam6zLpx44omyYMECmTdvnvTuHZivIoWHlSCXSSCxCFQUl0ru1e+wInli3VZeDQmQQIQIoKp5oxfPk6R09+esQE9L4REoKbbzSyAcwgMnadeunaxZs0af74ADDhDDnQob4C6Fyt/ff/+9DB48WKyzFxs2bJB9991XH2f9B65VyGx1wgknyGeffWbd5XOZwsMnnoTZiZgfZ1KDWLs4COv09MgUc4q1a62p8aAyef4ExnbUFG+ehwRIIP4JZF2nYj16V6+yOYVH/H8PYuYKwiU8Tj75ZPn000/1deFhC/Echj377LMyfPhwuf766+X444+3ZazC+bt06WI0NT/POussef/99+Wrr76SY4891tzub4HCwx+hxNiPxASff/55zF/MRx99JKeeemrMjzNeBpg36hMp+XlTvAyX4yQBEiCBqBOo07GZ1B99crXGQeFRLXw82EogXMIDweUIMjcsNzdXGjZsKJjR6NChg67HgZS4cLnq0aOH0cw1AxYEB4QHane89957ZttAFig8AqEU/23wXTr88MMlPz8/pi8GsU6IeaJVn0BFYYlsvWyqmkK1p++ufs/R6SGpbh1JbdVIkptmScreqtJwcrKU/7tTyjap///eIeV5hdEZGM9KAoESSEnS3+GUptmSrL7Dycqtpyx3l5TjO7xph/4uB9oV20WQQHKSNJ58keB3TqhG4REqOR7nQSBcwuOOO+4Q1PYwDNmqkLUK4mHGjBk62BwPYHhgPOigqim/iRMnyuWXX24cJps2bdIuVtiAPpo2bWruC2SBwiMQSonR5vXXX5dLL700pi+GwiN8t6dk5UbJG105qxq+Xmu+p+TGmVL3tA46zaXXBwGlrYq/WSe73l0uZX9uq5lBqoeTjN5tJaPfwYIHST22kjIp31EkmGmCIAqnNXn3cpUr3bPHYOqzZPQ8ULKGdffopGzjDtl2/XSP7fG4If34NpJ9Q9XLuuIv/5CdTy2M6qUgXgDflbqnd/RZIbv0v1tk1zvLZffS9bbxNnx6gKTsW9/cpl8qXPGmSGm5uc3bQubFR0jdsw4xd1fsLJbc/0yXlH1ypMEDLrPL6kVF7pB3Ahby3tySir/4XXaOX2SeN94W6o/qJ3U67RPysCk8QkbHA50EwiU8UIH8lltuMbtHXEZeXp4MGDBAu1IhviNZvdHbsWOH1K9f9QsHYmXEiBH6OPjs9+/fXz755BOZNm2aIKtVsEbhESyx+G4P4QEBEqtG4RG+O1M4a5UUTPw2fB1GoSf84a9/p6pjVCclsLMrAVL44c9S8FpVnaTADgy+Vd2zO0vmRYe7Hrjtpve1AEo/4QBJP6ql2aZk1T+C+xKKeRMexYvXys4nFgTUZc5dfSXtsOYebRNZeECI4n5Ey5Ib1ZMGY/vrGY5Ax4DvyY775wqSQ8AyBx8tdfu3tx2O/buXbbBtc1tpOP5sSWmWY+4qVzMsude8K6ltm7gLD9Wy4NUlUjj7F/MYrwspydL4lfNdK37Hu/BwY+6Vg8sOCg8XKNwUGoFwCY9JkybJFVdcYQ4CMxl33323/PXXX7Jo0SIdXG7sRAYsozjgjTfeKI8//rje9eijj+r6H4MGDZIpU6YYzYP6pPAIClfcN965c6d2ubImM/B2UVdeeaWcdtpp3nb73A5RjOxtyMoGQY000L/88osugPnvv/96PZbCwyuaoHfkv7JEij4O4OEh6J5r5oDUNo21n7XXWQ4fw8h/+Rsp+uRXHy2qtwuZbxq/coFIarJrR4bwcL5tLl74X9n59Jeux/jb6E146MxlV74tFUVVGRDd+krOyZBGL50votx9nEbh4SQSnnV8Txrcd4qktGwYdIe7v/mf7HhMxeUpMV3n4KZSf6y9yHAgRUFTWzeSBo+eYTt34UfqhcSkbyX1oL28Co/S3zbL9jtm2Y5zW0k7fD/JwYsBF4t34ZFxSnvJuvJolysLbBOFR2Cc2CoAAuESHgiiPf30080z1q1bVwoLC2XgwIGCYoBWa9Omjaxdu1ZvuvDCC2Xq1Kny5ZdfCgKG99lnH1mxYoU0aNDAekjAyxQeAaNKmIaYTUPWNCOds7cLa9KkiSxfvtw1i5q3Y/xtx3d8/PjxMnr0aCkoKPBoTuHhgSTkDTse+Vx2L/lfyMdH+8AGD58uEB9WK99SIEXq4b3sf9skKS1FUpo3kPReBwoeqm1WVqEenD6S0j+22jaHa8XtoQ1B/HBvS25QV3ZNXyF4s1wTwgPXBDEDUePLMk5qJ1lXuyceSSjh0X1/yf5PlatVqZrx2H7LB77QRGxf5iXKzenMKjcnnAhuUsVfrRXMaiD+KnmvLMlQ7mEpLTz/hkMgQCiIyvjX6IVzBbMnhpVvL9QuUSpdobHJ47Pe+V2k3rmH2rZvv3OWlK7Z7FN44IBtquioP3fB7OuPF8zquVm8C4+0o1tJzq093S4toG0UHgFhYqNACIRLeHzzzTce2afS0tJ0xXGk17XacccdJ19//bXeBLGB2Q0ECiMgHQLkqKOOsjYPapnCIyhcCdPY6ern7cLwfZs7d652+/PWJpTt+N7CTdAZ7E7hEQpN92Py7v5YSn5RDzdxaJjlQHCnqDgKw0p+hfvJPP3gZmzDZ5Jyw8q5vbfUOdSeZnzX28t0zIe1bbiW8bCFhy7D8DCZe5WaddjjGmNsrynhsXvZX5qNcV63z/pjTpY6HZq57ZJEEh6uFxiljQ0ePE1SD2xinh1iIe/eT6Xsr+3mNr2gvub1zj1M6p13mG17yapNknfPJ3pbpnr7Xle9hbda3l2zpeRX7zPIDZ84yyZoyv/Nl9yh03QXbuLZ2veut9TPz7Tl1k22ZfzcNXr1Aq8B2PEuPOq0V7NMarYqVKPwCJUcj/MgEC7h8euvv0r79vZfIlY3KuuJjYBzbGvbtq3stddeOm3uhAkT5JprrrE2DXqZwiNoZAlxgDU+yN8FjR07VkaOHOmvWdD7Z8+e7ZE6l8IjaIxeDzDcfbw2iOEdaV2aS87IvrYR7nzsCyn+ep1tm7GSVE8V/XrJXvQL/u/wg/dneIuMQFs8FCI7lq83yEZfGScfLFlXHWOsaoEHoee0mhIeomZ4coe8rQPbnWPAOq4Rb8zx5tzNAhEecBvCbE5y/QypUEHNmNEp37ZLcO6gTQ0DzJMbZUrF7lL9Bt6tDwjQ1FYNpTx/t5RtUA/rIZzKrV+v25B1av/KWTa87a/IL/ba1N8OBJQ3fm2QzbWt6NPVkv9S5UtEt+Od4hBCduulb2jGbu5WOp5psns8U0rz+tLwqQG20xTO/EkKpnyvt/kTHmV/5cm2/5thO9664m9GIN6FB9zjGj5+pvWSg1qm8AgKFxv7IhAu4bF+/Xpp2bIq6BCpdOF336hRI4/TDx06VJ5//nnbdsSHvPrqq7ZtoaxQeIRCLTGOQazFoYceqjOj+bqi1NRUWbhwoccMna9jAt13xhlnyIcffmg2p/AwUVR7AW828YYzHs3NLajgjaVSOGOl18upf/dJtlkPZO/Zisw/Lpau3HEyerWVFOUDb3XTwoNe2frtsvvHDVL43gqpUFmqDEvKqKP92fUDeHa6ze1FH7cni1X5lnz1cF5XB8QnN1QP6hY3sIoC9QCt3MVg5bkFfmcpjHPj01uMh9HGV1wLsoJlXu59Ztyb8MD4UUgNMzwQCk7DdRd/tU7HEjnd2iAacu7oI+AFg5vcjnHzNPd6KigfIsawLedONgUfjsP+NJVYAA/PhlgCu5LV/6rAZxWfcEBjQXC/YcWf/1bpkqQ2pLbdq9KlbM9sWbnK2LXj0c+NpjrjlTXmIu/eT6TOgXsJxGSdDk1tb/Ahrna986MUzf/NHJ/ZkZ+FlH1zpOHTZ9talSz/W/Lum2PbZl2pO6CTZA7qat0k229+X0qVa6Gbu1XZPztl2zD3FPr1FB9wtNr2Wz+Q0rW5epM/4YFG1vbWfrCcffOJkn5sa+dmcz3ehQfSHTd6bqB5PcEuUHgES4ztvRIIl/CAm1TjxpVvVnCyRx55xJblyjqAMWPGyKhRo8xNcLNavHixZGQ4/JrNFoEvUHgEzioRW86ZM0dQzNJfVfPWrVvLsmXLQo4l8sZuzZo1cvDBB5vnp/DwRir47bmD3/L6Bjz43mr2iLQjWmj3KetZ9YOriltBylE303URLA+z8J8v/d3eNkkJBsQ5+HpgMvqGOwxiJ4wHarzpb4SAcj9W9neeLfWpt+ZlShRu2+P24q2NdbtTeOCh2Orzj4fyvJGzrYeYyw3GnaofyI0NzmPdhAcyIdUf3U+QztivlZXLjscX2GKKICwavayC2fcYZhB2f/+nSo3c0dhkfhrCA4Ig55aeip+nyDEa43sA8Vbn4L2NTWJ9k+9Mp+vMatXoxfNs3CDYsq5QQcQuQffGCYLJHGYcA6HaeIqa8bCamrHZ+dQCQX9uszdJWeke117253YzcYCbuxXiV0rXVYoJ66mcMVKYzdum0uga5iY8nN+Lwg/UDMlrlTMkxnH4xLVpNysVZ2WY89i4Fx5IxqBcyUI1Co9QyfE4DwLhEh7FxcWmcMDMx+rVq81150lffPFF06UKYmXp0qXSqlUrZ7OQ1ik8QsKWUAchPTO+B/7s3HPPlXfeecdfs6D3H3300fLtt9/q4yg8gsbn9YCtl06Vil27ve6P5R142NVvG10eBhEwX7xorexWgdzBuMLAJ72Bcp1we3PvlYV6oEZ2H4iPgIWHclFJ2U+9qfdj1RUehTNXqvoMnWxncZvlQrHFhtY3t+qaClW2M6sAcAoPzFIgPsAqbGwncltRLlfbrlcByXtm2ZzCw+0QYxuER3Ljeto1CC5KwVp1hEeg59qpZk2KVaapYKzhk6r+hst3Ad8nZKUqWfG3YNYiUHNzt8KMDP63msc9VzsRr4G4DcPchIfzO1W+tUByr33XQyS5ibuyzQWS1nU/o3uJd+EB983Gr6k4sxCNwiNEcDzMk0C4hAd6xowFBIi/GhxGBiwEn8+bN0+OP74qqNFzhMFtofAIjlcitkbK2+7du5sP/76uESJ4yJAhvpoEve+BBx4wY0goPILG5/WArRe9rvznq1yFvDaM0R0odIeCd14NKZvVAxwySe1esVFKf/nH5hrlPK7ewEOl3gVdbJvxlrbos9+kTL0xTm6SKenH7a+z/VgbIQPQ9pGzVBYtVQROZYaC4W07fNwNw8Ojkb4XWZRS96RPxYNYnUOqipBhvChoB4Mo1C48Rid+Pp0zHqjdgYxFKfs1MI8smPqDFKqMWlaDOMm8uMp9Z/f363VMhdUNxyk8nA+W6A8zBzhWBzOr2aS0Y1rpoo7Wc+VP+EqK5q3Rm/wJD+12pqp1I7Zmx7j5KhOVypDUw55YBTNWxYv+EDzUprZsoNyh2msBaD0nlqstPNRMRNG81crF7m/lE1au7vPBgjgjqxV/vU4QZxSMOZMQuB2L706J+v6WrPy7UkwrF0Gv5pLdCm5YcMeyGgoVZl52pHWTbLtxpnYjNDa6CY/tt30oDcadZpv9QTFMZGyzWs6I3pJ2ZAtzE9wgIYoSSnio2ZzGUy8xrzHYBQqPYImFuT3SdsKPGw/Offr0EaSOjVcLp/Do16+ftGvXTp5++mmfOJBKt3fv3todK5Qigb46p/DwRaf27Pvjjz904UoUrPRl9erVE6TjdSZG8HWMv30//fSTdOpU+eaWwsMfrcD3bzn/NfW0WB74ATHWUscIjOhle3D3NUTEY+DBGLEZTtcTiAr42yMFr2EIns0bO0fHHhjbRBVEyx7WzeMBeOczKl3tgv+azTyCy1Vq1Lx7aja4fOfjX+jCcDYB4VIsD3UcUM/BMNfjVByEtXI5Kn9DfBgGwQQ3LmvMC/ZlXXOcZPQ9yGimRVz+c4v1ujfhgVmqnc8ukt3frTeP0/UmHjlD+fCYm3RxvJ0Pf2Y7Z0qzbMm5p5/gjb7Vqis8UNncEIRGvw0eUhmpDqjKSOV02TLa+fxU16MTDDhS6no9Rgkg1NDYpWKZ4Jbm5o7l5m6FOA/rzAkqkkNYGOY2djfhgcKCcEW0CggISQhKwzAbZqtho8ace506boj9uHif8cDvgiZvX2pcdtCfFB5BIwvfASgeBh/uTZsqFXPXrl11RiaIkHi0cAqPWLh+Co9YuAuVY9i+fbsO4sZ3DIHfKLoHy87O1vFARxxxhCC18n77VU5nr1u3TlDJ/pZbbpEDD/TxZriye7//oj4MilH6s86dO8uSJUu8ugb6O965H/ElcCHctm2bUHg46YS+vuW8ybpOQOg9xMCRqkBfPfXGHg+3AcUaYMjqQUi7lah0uoZl9DlIsq49zljVn14DZ5V7V6NnB+oZEOOA3d/9KTse+sxY1YHItqxWURIeJb9tqXRJszywm8HIarTOzEY67a+K/cEbcZtgcQgPsEppmm1eb9Hc1TqI3NywZyFryDGS0e9gczMe3vEQD3MVHurebB/xoRk3YxyIWheoeWGaEsy5V78j5XlF5iZjIb2bqtNx4wnGqv6sjvDwFvDtFJdgt/USlWEqBEMyg7pnHOJRl8ZXVxjXjofme8xaurlbFajMVshwBavMYHaeTcS5pcb1Jjwwm2flC6G4VaWKFpXJDIZZSMxGGmak/EUiAatgiXvhoZITNHnnMuMyg/6k8AgaWfgOePbZZ2X48OG2DlHDAn7d8WgUHvF412J7zPh5uOeee3RV73I1ze/PEOiNmTLE+kCcoOAkCk+Gw5AtbdKkSX67GjZsmC4E6LdhgA1OOOEELbooPAIEFkAzI2A3gKax30Q9BKBKMtxf6iDb0b7+YyisD2OZlx9pi2ko+Wmjrqfg7cLxkJh5adWDsDMw1/lQimJw0ZjxQEYp1BpAzQHD4KdfMGWpXkVdCGttiKLPf5d8NdvgzHjkdLUy+nJ+Iqg4ZZ9s7d6F+4EHaiPrFNr6Ex7W/da+nW51umq3JROVtS2CwFGB3ZotrDrCwyzSZzuJcqdTdWGQKc2wiiKV2vbiKcZqSJ+o6ZF2ZEudsUvPprjEMFk73r1U1WdRmcBs5uJuBfc31PSAOb+b2IbZLNxjq3kTHhU7i3QSBcw4GgYBZMxQObPH5T+v3Ovmr9EZzBJKeCjOTd6l8DC+A3H1OW7cOLnzzjttY165cqUccsghtm3xskLhES93KvbH+eOPP8rdd98tiOGxWv369XVxPdRsMdIs43tnFJG0tsUyMkOhbTgM1cSRNQ19+rOZM2fKmWee6a9ZQPtnzJghv/zyi5xyyina5Sugg9jIJ4EtAyf53B/PO/FWt07nffUb1rTDmttSoBrXpd/uq8BYxBKgJojVZ98ZaGscY3x6PJSpmIYtKmbGfOvrrOMRReGB2SC4PBmGrE9wfcHMD+o46JS0e3bmjf5Ux8QEKjyQZSpDxV0gfS368RdsbhUWbjMecPOCWHKaM+uWW6yK9Zj6Y/uHLasV4kt2L61y+zLOk9pub2lwf39jVWWWqr7wMDtTC3iwr9OxWaWgVrFA3mb0jHtmPdbD3UrNGudehRmiQql/bz+beyLc5BC74TSP77hqAFcrBJRnD+8u6SdWzaIbWb0g9nSmsj2pikW5N2I2RP+MJdqMh+LRZNrlTmwBr3PGI2BU4W+IBxhU1obLFQwzHXjDG69G4RGvdy52xo2fhWuvvVbeflv9wlZ/MAyDu9To0aNlwIABrnFQmNnAcUjFbFhmZqYgLiM5OdnYVO1PpM095phjBLFZvgw1Z5YvX266fvlqy301TyCehYdR+8GgVlFU4r1QnfLFzujRRjKvOEqQicZqeLuPt/wNn1QVnC1B2L5qXuB4txz+1oxRzrfK0Zzx8PC5V+PPu+tjnYIV8R2GVWYomqYESYXfGQ9kAMu+6QT9dt44PpBPf8LDm3sbCrVZa2vkv/i1FM1Z7fWUOXcpIakEp2HVmfFAkUkUm3RadYUHZodsKXpVogdnjIz1nJi10i5uqF1iMcQWIcbIam7uVvkvfKXSGf9pFwbqoILXv5fC93+yHq6XfQkPiPr691hme1S9ltwr31b1XNroWA6jM+vMVMK5WqmLpPAw7nQcfv7vf/+TTz/9VFq0aCEIqA7nQ1JN46DwqGniiXU+BHGfdtpp+u2+cWX4eUBKW7hb+avNgkDsLl26SGlpqT782GOP1TFTRl/h+nzqqafk//7v//x2Bxep+fPnS0pKit+2bFCzBOJVeKS0aKBTuVppOYO7rfuMZbcMQobbkfMtsJvPu9EPPlPbNBbUQTBNvR+Amw0K5sFiSXhgPDm39rRl2UKFbGTNQkE6w/DwiYdQmL8ZD2d/Rh/IAob6JghkLtuQJ6mq8J52t9rTwJ/w8FZbJmekig/osp9xGp0e1pki1typFho8dqauaG5si0XhgZovSMFsWCAxD0iC0GjCucYh+hOZvbbfbp8VdysmCPEEIZB1XdXsFzrIvU4VEt2cb+sTK76Eh1v/qGmDWCkUWTRshwr+3/2tCoJXRuFhUKn85IyHnQfXqkGAwqMa8KJ0KGYIRo4cqc+OGYL77rvPdUYh0sPD7ACyuhlB4zhfenq6TJkyJagYDQgCCAMYZkCcVe31jmr+g5mY008/XWbNmuW3J8zSQDTRYotAvAoPnT9/8kW24FjUnSh4ZYlPwNoNxFHwq3DWKimY+K16S2sPgsbDEh6avBmqdVsf4PDghgc4w2JNeCC1L8SCYajaXrG71Oa+Yw069yU89AzKJDt/xMTkq4rhyI5kNZ2x6awqt2l/wgOV5DE2pyGTkpGqGPuQIhkuRm6mg6efVw/nlviIWBQeHlmx1m/XKW3drsm6DdnXrAUU3TJSob2Hu5UK/oZbFQSFYToV9J3uv8N9Cg/0f6mKizqjqtgjxoGXAkZMjzPonMLDoF75SeFh58G1ahCg8KgGvCgdihm31q1bm2dHUDbiGGrS/vrrL+2+tGFD1ZR+amqqfPzxx1qMBDMWCKm99tpLpZsv16ID4iMStnnzZjnssMPk77//9tk9Zju++OILXQvEZ0PurFEC8So8AMnpGoVaD/BTxxt3b4bA3QYPnmbbbaRJzTilvWRdaUloomI2tg2vKnZnO0itOF1/8DYZLjmGhSw8LFmfjL4C/fSo42GJl4BrFHzvnS5qRt/Oh1dfwgMzD5iBMAyzPLnw41dZnZzmrOcQqvDwyGqlTuStIjdqsaAmi9ViUXjg+4bvnWnqZU7efXN10UBzm2MB6Z4bqhkPa+A86swYKYqtzd3craz7sewtcB77/AkPneLY4qqHY6yGTGf5L3xtbqLwMFHoBQoPOw+uVYMA/N43btxo9oDUpvHsZoL4AKQxheFBuHnzKr9Z8yLjfCHawgMB2926ddPxEFaUSIULF6tQ7NBDD5UVK1ZoNyu4W0XK4EZ10kknaZHj6xwtW7YUBMsjGJ4WGwTiWXg4sxyBKFxOdqiH7fI9lbGtlPEWHNl29BtZyw5UXUawNeIHGj6GOhFJ5l5UjUaKXMN9ytjhVmjQ6ScfqvDwlrrVOLevT1/CA8chPgCuMG7mHL8v4ZHRr53Njx98tl461aMmDJgiKNxaaTxU4aFnMVBdXaVPNgz3OW/MHClTRQYN0+50SOVqBDfv2RGLwgPFEFEU0WoIwt7x4HwpUcUunQbRgXvoLKJoxCk527u5Q9naKKGjg8W9iHV/wgN9oXq982fKOAfiiEp+rboOCg+DTOUnhYedB9dIoFYRiLbwuPnmm+Xxxx+3MUesE2Y7kiwPQrYGflauu+46QRVxCEe4j0XS4KaG6uL+7Oyzz5b33nvPXzPuryEC8Sw8kGq0wdhTVE5TR+xQWYUUf71OiZDNuuJ1UnaG9vXHAyne+lvNmSI26xrlztO3svK40Q5iBrEPpWu3SvJeWfqhz1ktvWzTTtmuqj5bA4MDFR71zuks9S60zK4qdxhkbCrbmKfiJPI9XJeMcbl9+hMe8L2vP0YxcxoeQK9Vfv4qW5FhvoQHMi3VH32y0VR/QqQh5qJ0ba4kqcxG6ce2Flybc4YF+5FWGLMjblmtvLla4STOYoTYhn5Kftqkq4lDnCCmxFpkEG1gsSg84DLY4OHTdJHHylFW/QvhsfuHv9Q92aW/t0hRDMGBa7SZ+r7nXv+eq9hGOw93K8vB3hIeGE0CER6IEcocVFX13jgWojB3mHI9rMqNwhgPA86ez1otPBDM+uabb+oHAjwAGQXCUAAMvuX4xBvvrKws6dChgw4oPfLII20I8cYWDxTvv/++oGhZfn6+4I0r3uIOHTpU6tRR2Rv8GI5DgbJp06YJanv4ekuLTFgYM1Js3nXXXab/++LFi+XVV1/Vb3qRGQjVk5F9Bz7v8VwN3Q867q4mgWgKD8R1oPCfEQyOS0FcB34u991335Cv7Ndff9V1L66++uqQ+wj0QIy9R48eXtP5WvtBvEmkXL+s5wnHcnGx8oNXD2XWgP6ioiK9LRF+n8Sz8MD9RTpPpPUMxfBmefvdH9se7JOy06XRM6p6eVZ6UF2ijgLqKVgtUOHh9tbb6MdZG8TY7u3Tn/DAA3kjFfuAAGWrudUs8SU8MIPReNKFnqLP2qmvZeXGBvEBwaZTr1ra+hIeEH5IX+vx8G053ttiLAoPjBWZ1PSskKUmhrdr8NiuHup3jv9SkNXKmyETFuq4uFn+SyozmEoy4M0CER462B3xNFUThbq7Xe+tkF1v/mDrmjMeNhxSq4QH/pAiHSZqA+D/7777zqTx5JNPyqWXXir/+c9/tOgwd1gW8AYWAuGCCy7QWyEUUCwMlZTd7NRTT9ViwvrH22iHINp33nlH9/fVV1+ZqUOR4QruG1bDmD/44AMtbrBsGAqKnXvuuVrgvPXWW8Zm2yf80D/88EOm9bRR4YpBIJrC48QTT5QFCxYYQ9GfV111lbz00ku2bbG+ghcH+Dkz0mJ7Gy8e2L/99tuYrNMDoYHfZ5MnT5ZVq1bp2BX8vkTV9O7du+u4HxRP7N27d9zdH7f7Ee/CA9ekC+CpN+uiUuYGanhLnnffHEFgrdNSWzWUrP/0sGVEcrYx1iFekHYX7kNOC1R4oFZDo+cHuoqdMvXWeNvQqoB15zmc636Fhzog86LDpe7ZipfFEB+AOAGr+RIeaOesTm091rqMWSDnTBP2IwsZ3MqCER44LrlhXcm5rZektlUzG14MiQaSM9NsLkmxKjxwCWldW2gBDeEbsCnRUTBxiRTO/sX3Iep5rdELSmw6Z0qU+ENcTvkOz8rvRoeBCA+0rT/mZJXJqplxmP7c9n8zVHazyhIJxg4KD4NE5WetEh7Tp0+Xc845x05gzxpmPODegT+6hmG2oqTEHjQGEbF27VoZO3asnp0w2nr7RBG0MWPGmLvLysp0YbE5c+Z49I1GTuExd+5cDyFidDZq1CiB4Fi92rtyR9vzzjtP10UwjuMnCRgEoiU8EIOBmUGrQdjj5+/ggw+2bo6LZbxEOP/88/2OtWPHjvqFRyzNGiA715AhQ8z4LKQB7tWrl+C7gd9H1qB//N4zsqD5vdgYbpAIwgN48da1nnL5yOjV1udbeMRyFH7yqxTNWyPIuOPVVBxBpgpQTu/ZtirdqXpQM+IGENNQskJlcVKiw+qeZO0PrkbZN59obvLl1oKg98zLj5I6qiAd3hyXbyvUD9hISbttWOCuiY1fH2QrlOhWjM+ZihjCAPUXkFrXahm926qsXd3MTfDVh8++1TBbA+GX0izbulkvo98ilTEMb74zB6sg6p5VxebQAMIDs0SNX1G/L/aIRhTgyx2sslqpeha+DEIGrnPgpv9XmZSQVGC3cvcq+fFv7WrnfMgtnL5Cu7ChX1QGzxnRyzyFM7DemTXKW22RlGY50lDNkBlv+6tTQBA1PRA7U/f0jtoFzRycYwHnQNrdwtmrBDNigZibu1UgsUQ67knVT7GaUUDQus2Z4c1bQcKsod0qf0b3HGwVg9b+4mmZdTwCvFvIdIM3jqgCDKFhBA5bD4d/+TXXXKOL+TVr1kxQmOziiy+2uYPgoaGwsFAOOOAAnSoTrhatW7eWP//8Uy688EJb7QBsh+uI4a8O14zBgwfr9hBCP//8s/X0AkHSt29f2zaMGcGpt956q/Zbt+1UK3DrwkwNPrdu3aqXrW+SUQsB4gRF2GgkYCUQLeEBN0Rnqluk04XQjlfDw/vLL7/sd/j4/TJhwgS/7SLdADMaN9xwgzzzzDP6VEgEgdmmK664wjw1soQhdTBmZWF40RGIwDI7iNGFRBEeBl7MHqTskyMpe2epAn/Z6mG0QAmHulKmUt0i3W0pUr0qn/hgDHEIqfs3qoxVUOKjdF2uir/YqYvsBdNPIG0x/mT11rt8V4kgkBhVpoMdbyDnCWsblbI2dX9VtVyJD2RaKlMxCWUbVB0PMCorrzyVCvRGBiSIBDykl23YIaWr/7XFxPgbE+IhUvarX9UM90LF33izhuNVylklDAzLn/CVFpzGesx+KtELlinq+5vcNFulFi5SwjpLf3/xPS5TKXfdsofF7PUk+MAoPEK4wXDpeOWVV2xHevPBdntI6ty5s3YTadBA5W62GNJrIosNZjYMQzVyVCV3GnymUeEYIsYw54yHsR2fmLmAELIaxAgyAFkLD+7cuVO7ViG41jA8UOCaaSRgJRAN4YGfDbjwOF2THnroIbntttusw4ur5V27dumYFbzY8Gdwa/I2++rv2HDsh+hAvAmC8GFpaWna7dNtTOvXr9cvWTD7C/dUxOXEuyWa8Ij3+8HxeycA0eJMhYyieW7iI62rSvd7Rx9bZ9v+b6YubGjbyBUSqCYBCo8QAKKoF4qlGYY/uHgYcDPk4e/Zs6dtFx4uvLmEwFVh4cKFZvu3335biwZzg2XhoIMOkt9+q/Ix9SU8hg8fbnPvuuyyywR+126GeJXXX3/d3OV0+TJ3cKFWE4iG8HDWezFuAGb2nMkbjH3x8omAebxkQMyEL0NqXcxi4iVFNMxZfd2f6DNeemCW2PmyJRrjr+45KTyqS5DH1xgBNVOCit3JjasC4+GKlv/MIilZrVK2qoksuGClddtfsi47UqzxEqjxkjvkbVuGpRobN0+U0AQoPEK4vffff7/OCmUc6iuoFW/8nA8IcGnCbIWbwTXrjTfeMHfBlQGiwc2MmgPGPl/C48YbbxQEwRt2++23y7hx44xV2ycyXuEaDbv88stl4sSJxio/SUATiIbwwM8DXAOtlp2drV0f47nui3E948ePl+uvv95Y9fo5b948HazttUGEdiAZBl54GDNOCIzHTAZq1XgzuIbh9wl+FyaCUXgkwl2sPdeQeXFXqXtWJ48LRpA/4kKSG2Qo9aEUisNQF2P394nxM+u4NK5GmQCFRwg3IBjhAZcoZzCoL+EBv+mnn37aHJWv2Qan8HCL8TA6CkZ4PPHEE3LTTTcZh+pMXEjDS0t8AijkCJGJT38G4fHYY4+ZzeC616JFC3Pd1wKyr7Vr185XE9d9+F7i+2k1uC5itiBR7Mwzz9SZ6LxdD4QXZh2iYYgxs76E+PLLL2tdZXUKj2h883jOkAmoIHSkT04/vk1gXShXSp3W9a1lgbVnKxIIkgCFR5DA0DwY4YGAcGc9Dl/Cw1kUDX7rcGVws0gJD6crBVIAByo88FByyy23uA2X22qYwMyZM+X4448P6qzIzta/f/+gjgml8WuvvSaXXHJJ0Ic63QDRAdK0YgYgUQy/H/bbbz/BSwunob4OXDGdv1Oc7SKxDnc2nB8xHjC4iwYSkxKJsUSzTwqPaNLnuUMioCY0Mk5qJ8iklNqmsdcuMMNR8MZSHYzttRF3kEA1CVB4hACQwsM7NATZI6CeFn0C8+fP16lNgxlJrAuPM844Q9eWsV5TMMLYelysLn/yySda/BkP+MY4mzRpIohxCXRWyTguXJ8QpPh+WM0toBz7W7VqZZsNsx4T78sUHvF+B2v3+HUGM2TTaqiqeSMLmKq8jmrv5Sr2AymPaSQQaQIUHiEQpvDwDg1B6XfccYf3BtxTYwSQmABpkoOxzz//POCZCGSY2rRpk9n93nvvHfCbeMyqeXtoNTt0WUC8EQrVWQ2FMFELIxHsr7/+ki5dugiKhFoNmefw0O8sEGptE8nlgoICnU3MX+C7MQaII6QI92f4DqH+yiGHHGKmDfd3TLT3U3hE+w7w/CRAAvFMgMIjhLtH4RECNB6ScASiEVw+evRouffee20skc0KbkDxbnDLRFY7o+6F9XpQ8NN53db9kV52zoQhkH/JkiW2VNzWMWRmZuogdOs25zJmdBCf89NPP0k81WGh8HDeSa6TAAmQQOAEKDwCZ2W2pPAwUXChFhOIhvDAjBriPKwGF6TNmzdbN8XlMmKjrMH6xkVglgMP/tZ6O8a+mvp87rnnZNiwYebpUAD1999/N9dDWUB8SIcOHfShKJKKGkIQLLFuW85VM2574lxifawcHwmQAAnEFAH1u77Ju5eFPKQk9caqMsow5C7i80AKj/i8bxx1eAlEQ3hgZsOtoOb27dulfn1Lhd4gLhW/xqZMmaKrbEerzsT7778vZ511lseoEWS+bNkygbiKpjlTbPfr108Qi1Idg9vWvvvuK6hwDvcyxK/Eg205TwkPVQGaRgIkQAIkECSBFCU83qbwCJIas1oFDYwHJCSBaAgPgETtCGf63AcffFBGjBgRNGfEGFx55ZU6biRaaWrXrl0rhx9+uEA8WQ2ZqxYsWCDHHnusdXNUlkeOHCkPPPCAee6+ffsK0ndX1xDTgjogJ598skfa8er2Hanjt5z/mkhZeaS6Z78kQAIkkLgEVHrnJm/bvRaCuVjOeOyh5auAoFs6XQSONm7sntIumHS6CMj8+eefzXs2e/ZsOeWUU8x160IwdTzg7mFNiZtoWYOsXLgcOoFoCQ8U2EShTathpuKPP/4QVPUO1PDG/fzzzxfMNnTt2lWQBSzUWZNAz+lsh3opSADw/fffO3fpgp+o6xML9tJLL8nVV19tDqVt27ayZs0ac91tAUHjqLsCUQixmCi2ddAUZv9JlJvJ6yABEqhRAknpqdL4Dfvf72AGUGuFh/Ptny/hgWwwWVlZNq7//e9/pU0b92I+SEWLlLSGQYg8+uijxqrtExXRrdWAkdkHGX7cDGN85ZVXzF14O4wHAjdD0cKxY8eauwYMGCDTp08317lAAiAQLeEBMd+xY0ePB19kvHrxxRcDyqy1dOlSueKKK2TlypWCejifffaZNGrUqMZv7PDhw+XZZ5/1OG+sZepavHixR6FAuL0hsN/NMIuB9LuYUfr6669DKhbp1m8sbNt66VSp2OW/wGYsjJVjIAESIIFYIpBUL00av3ZRyEOqtcJj0KBBMnXqVBMcKg2jWJubQWQceOCBtl2ffvqp17SYp59+unz00Udme7zZRUCt0/Ly8qRp06ZiTW8JsQBR5GY9e/aUL774wtyF4m0o4uZmzjEcccQR2h3CrS231V4C0RIeIL5u3TpdHBGuOlbDm3X8vGA20M3g1oRA6SeffFIgYDDTgViFaMRQ4EUBZlycdtBBB+kZkOzsbOeuqK47C5b26NFDZs2aZXuxgngZ8MULEwSMz50710OwIBEA7h9mROAyh5kT6++8qF5kACfPHfyWlO/wLO4YwKFsQgIkQAK1mkByToY0evWCkBnUSuEBd4xTTz3V9sBft25d/QcYD/dWQ5aW66+/3qPuAHy28dCBwFHD8GYQswoXXXSRfiAytsP1AyIHLlT4Qw5DMCZcoVAl3GrNmzfXbVGt2mhbXl4uqOcAsWTNBYAxT5s2zdYv2mJcyBpUUlJi7VomTZqk6ztEM7OObUBciTqBaAoPXDweWJF+1lpLBNvT0tK0oMCsCKpr4zv7999/6/SvixYt0j8H2HbrrbfKfffdF9AMCfoNp2HsEPT4HWG1evXq6XF6E07WtjW9DFdOFHDE7yrDME68HEHdDog61Fj57bffBDVd8LsE98dqeOmCmBrcD+P30VFHHaWv2doulpdzh06T8n/zY3mIHBsJkAAJxCSB5L2zpNFzA0MeW60SHnDhgHuSMwDUSg8iAfn2EU/RqVMnQbpI6x9pa1s8+OCPM3Lhox0y2hQVeX+LBjcQuGG98MILflOHQlTAfQNvc4877jiBu5c3w4POhx9+qN8QY2bG+SBkPQ79QnjFQrCrdVxcjg6BaAsPXPW2bdvkkUcekaefftrn99xKCFmxHnroIY+HYmubSC4XFhbKMcccIytWrPA4DR7cnemCPRpFccO7776rx+ftdxV+r2HGdPz48bYXK84ho8io4eqJjFkQgPFi2256X8r+3BYvw+U4SYAESCBmCKS0bCgNHz8z5PHUKuHxzz//BPRWDm4SeMsK9w0EjvoyFOHC7El+fr72MffVFvswQ7JhwwZ/zfR+vO2FWPnyyy/9tu/du7dAgOCNpjehZHQC0RENtxTj/PyMHQKxIDwMGvj5RNA53Hd+/fVX/f/WrVv1bAdcEvFGHiIcb9ujPZvgjLcyrmHIkCE6RsVYj9VPzLjCnQ0vIbCMwH7w3X///bXrWKtWrfwOHbMkuF+whQsXarc5vwfFSIO8uz+Wkl/+iZHRcBgkQAIkED8E6rRvKvXvc0+CFMhV1CrhEQgQtiGB2kQgloSHG/cdO3boFK1ISxsrhriqyy7zzGGOdLqoWJ6enh4rQ43YOOBihfodcJFDHAvES2pqasTOF+6Odzzyuexe8r9wd8v+SIAESCDhCaQd3UpybrWHJQRz0RQewdBi27ghgKDjeHoQihZYPEBaXfNQdRqzeDR3Akh9jXiGXbt22RpgxgBZtrxlurM1ruYKElAgfTBmOQ1Xp2p2GfThcDFDoDrMV2KOoDuuoQPyX1kiRR//UkNn42lIgARIIHEIZJzSXrKuPDrkC6LwCBkdD4wlAkilCjczPBDhf7jt4GEQ6YpRoRlvqOG6RiOBUAkgzgqpZxHPZTUkgUBGPARtR9ogFOESBXfN2267Tce5RPqcbv1b6wQhFg2xa/FkhbNWScHEb+NpyBwrCZAACcQEgczBR0vd/u1DHguFR8joeGAsEMDbehQ4e/nll30OBwGzeFAbPXq0zpjkszF3koALAWtMg3V3TQqAb775xkwMMWXKFJ3pzjqWmlqGmDeqniMDljPdeE2NI9TzlKzcKHmjPw31cB5HAiRAArWWQP1R/aROp31Cvn4Kj5DR8cBoE4B/OTILIU4hUDvnnHMEWX2MVMWBHsd2tZsAMuJdc801HhCQahYB2jXlnoasfA8//LAeB+pndO7c2WNMkd6AukOoLo/MXghGR7X5eLOKwhLZepmq41ReEW9D53hJgARIIHoEkpOk8eSLJKlu6HGXFB7Ru308czUJoBq7UfQRD37t2rXTbigoboasSE4/fON0jz/+uE6XbKzzkwR8Efjxxx/1LIMz/WyzZs1k2bJlgs+aMNToQcY9FDRFsD0y6aHeSU3bggUL5MQTT9SnhRibMGFCTQ8hLOfLG/WJlPy8KSx9sRMSIAESqA0E6nRsJvVHn1ytS6XwqBY+HhwtAm+99ZZceOGF+vR9+vSRp556Sjp06GAOBw9pr7zyitx+++064465Qy3gQfHPP/+MStE56zi4HPsEkFULtXR+//1322AhdOfNm2c+gNt2RmgFMx2Y8YAhnfDKlSsjdCbf3aJexz333KMbvffee7rmB9zQML5A0vD67r3m9hbNXyP5z39VcyfkmUiABEggzglkXXecZPQ+qFpXQeFRLXw8OFoEUGdl9erVuoAcHgC9ZbBCEC4KQaJIndVmzZol/fv3t27iMgl4EBg4cKDg4dpp48aN06LWuT1S6xAZCGyHmxPsoosuMmtoROqc3vqFu+L06dO1uyJmFyGG8LP4xRdf1JjLmbexBbO9orhUcq9+RyoKfNdqCqZPtiUBEiCBRCWQlJkmjV48T5LSq5c6ncIjUb8hCXxdePvctm1bXQQR6U1RPd6XYeYDBd+sRncrKw0uuxFAJfUbbrjBYxeqeiOdbU3FCSGWAoUT4fJlWE0LH+O8+OzRo4dZ1BS1S9avXy/ffvuttG7d2tosLpYLpiyVwpnRmTmKC0AcJAmQAAnsIVD3rE6SeXHXavOg8Kg2QnZQ0wSeeOIJncnqgQcekDvuuMPv6ZGCNCcnR/vEG41vvPFGgfigkYAbATxIH3/88bJ7t/1tOIKpUa8DwdU1YR988IEWP+vWrbOdLpozdviZM+qHwLVqxowZ0qVLF9v44mUFsx25w9+Tip2VM0nxMm6OkwRIgARqkkBSdro0Gn+OYNajukbhUV2CEToeGZuQLQZv9/FWHwGl77zzjiAtbG03vHFetGiRzmYFQRGIwU3l+++/N5vCRx2pdWkk4CSAKtx4k+/MloaK5IsXL9YxH85jwrWOhAj4mUeK2kmTJslHH33k2jVilFDPIxoGIY+fv5KSEh10X7du3WgMI2znLJqnYj0mMNYjbEDZEQmQQMIRyLpWxXb0qV5shwGFwsMgEUOfcF2AawXEBypww9q3by+rVq2KoVFGbyio3QHf8mCqRJ999tnXz2wxAAAMpElEQVT6zawx6ldffVWuuOIKY5WfJKAJ4KEahQC9PfAjqDtStn37dl0YEGPwZSiM6YxZ8tWe+/wT2PHQfNn93Xr/DdmCBEiABGoZgbQjW0rOiF5hu2oKj7ChDH9HcGHAAzMMlYFRIZgWGgHUW1i4cKF58FdffWUWYjM3cqHWE7BmjopVGHABs36XY3Wc8TSuivxi2T5ytpRtyIunYXOsJEACJBBRAinN60uD+/tLUlZ62M5D4RE2lOHvCEJj+PDhumNk1jFESPjPlPg9wjff8JPHTAncWWoqODjx6SbGFcJ9qGfPnuYsY6xe1bBhw2T8+PGxOry4HVf55nwtPspzd8XtNXDgJEACJBAuAsmN6mnRkbxXVri61P1QeIQVZ3g7M9yDUDNgy5YtAhcLWvAE4C+PwmuGjR07VkaOHGms8pMEtOseAqSRfjnWDQX73Kqox/q442F8EB95Y+dy5iMebhbHSAIkEDECmOmof1dfCbfowIApPCJ226rXcVlZmTRu3Fjy8vK0SxBcg2ihEUAgOYqewZB695dffpFGjRqF1hmPSjgCKDZ58skny9y5c+Pi2ugmGNnbBLernc8uYsxHZDGzdxIggRglkHZkC8ke1j2s7lXWS6XwsNKIoeWvv/5aB5hjSPfee6+MGjUqhkYXP0NBOlTMdhgZilDx/Pzzz4+fC+BII05gzJgxcfPzBfdAvIzIzs6OOJfafoKiuWukYOpSptqt7V8EXj8J1BICSJmbOahr2LJXecNG4eGNjGX7jh07dCpWvCU/7LDDLHuqFlFZ+IADDpB69eqZG5GdZsGCBYI3qr16BZcRwPowZLzhLCoqkmXLlglSae6zzz7SrVu3uKoUbIKpwQUrR6ThRV0EGgkYBObPny8nnXSS/hk1tsXyJ2KVkGabVjMEUOdj14yVUjR3NSuc1wxynoUESKCGCaA2R0bfdlJvQKew1OnwN3wKDx+ErrzySvnss8/023KICKS4RR5/p8EvvEOHDjJlyhTBw61hM2fOlAEDBujVZ555xgwUN/b7+uzevbs+F+I6EN+BN/W33Xab/P333+ZhEB5Tp06Vli1bmtu4UEUAsR2dOnWS4uJinY4Ys0j169evasClWk1g48aN+kXCv//+GzcckOoXVdNpNUugorhUihf9IcUL/5CSX/4RKfed8rhmR8ezkQAJkECQBJKTpE77ppLeo42kd28jSempQXYQenMKDx/s8JCP7EcQE5j1wGwGakg4i/hBXEBkvPjiizJkyBCzR8xUQEBAtJx11lm2OhJmI5cFnAvxHajhgQBzpM9EpW2khN1vv/30g0d+fr4+8sQTT5TPP//cpZfavQkuVphlglDca6+9ZMmSJYK3xTQSMAhg9jDeZsCOOeYY6devn3EJ/IwCgYrCEin9fYuU/rlNyjbtFGTBqthRJOVqdqSiqESkqFQqSstFSsukokwJFNRlgU7BJ40ESIAEwk1AueCK+k+l6pSkFLWQmiJJqckiGamSlFFHktWMRlJOhiBLVUqzbElt2VBSD2wiSXXrhHskgfWnHoppfghce+21+s+GIlqhKojbWk+fPt3cpwKYbfuwouIz9P4777zTY5+3DUrEmH2eeuqpFampqRWTJ082m6s3tRWZmZm6TZ06dSqUGDL3caGSwCWXXKL5qKrKFWqmg1hIgARIgARIgARIgASiTIAzHgHos4kTJ8rgwYN1yzlz5kjfvn31MmYm4GJlpOB0y6+P2gBGwS98BmKo3WEtFuiWPvOoo46S7777TneHt/pwA6NVEkAGK2SyUqJMv9FGxiIaCZAACZAACZAACZBAdAlQeATA3xAPaGp1p4JA+OabbwRuT6tXr5aBAwfKu+++a+sR+fbXrFkTlDsUsjAhPgHmLSD68MMP14HmaAN3MAS200Ree+01ufzyy3VxQMTFnHvuucRCAiRAAiRAAiRAAiQQAwQoPAK4CX/99Ze0aNFCt8Sb9NGjR2vBgfiNL7/8UhejQ5yFMbNhdPnTTz8JBAIyWx177LHGZp+fSPvaunVr3QapM1Fzol27drZjSkpKdB0KCB7EnWzfvl2/3bc1qoUrM2bM0EIDNVBefvllQXIAGgmQAAmQAAmQAAmQQGwQoPAI4D4gUDk9PV23RPA43KC6du2qM+LgDftFF10kb775pq4XgZkPGDIpwR0KLlDPP/+83hbIPy+99JJcffXVuilchD7++GOPw6zZsi688EKd2cqjUS3bgOJvmB0C98cee0xuuukmvwT++Udlp1HWtGlTv23ZgARIgARIgARIgARIoHoEKDwC5Ic0rIjpQHaqo48+Wu6//37tQoV6GnjIfeKJJyQnJ0cX90KX2IaMOcuXLxcVCB7gWUTOO+88013rk08+cc1gg6w2iDVJSUkRZM6CwKnNBgaoxVBQUCB33323oHaHP8OsEbjtu+++MmvWLH/NuZ8ESIAESIAESIAESKC6BKIc3B43p1epWHWWpObNm1cgU5ISHubYH3zwQTMLVWFhYcW0adN0JirlhmW2CWRBuQhVqCKFuq+2bdtWqMKDHoepGRDzXMFkyvLoKEE2qJSoFarWiWZy/fXXB3RV4HzVVVfpY6zZwgI6mI1IgARIgARIgARIgARCIsAZjwCVmzWLFOI94FKlBIg+Wj286oBmrGCWAgHNI0eOlBEjRnjtHVXIMzIybPuRpcqYvVAP0fL000/b9ufl5ckRRxyhg8m7dOmia1Mgc1NtNdyDHj16CArAYfZn0qRJOqjcGw9UkId71dtvv60r0WMWC0XkjPvo7ThuJwESIAESIAESIAESqD4BCo8AGfbp00fmz5+vWyOuQ9WJMI/89NNPxZqyFUX/3nvvPXO/dQEuPmeeeaZ2lWrWrJmuSI4gdRjct+666y69/MYbb+jYEb2i/kHANKoWz549W9SsiyCmoX379sbuWveJIHxwQ+B/qDZ06FBb2uJQ++FxJEACJEACJEACJEAC/glQePhnpFtALCBm47DDDpMffvjB9mYdcRzYDjv44IPl22+/lezsbL3u/Ad9oC/DUFUbb+GRwQpxChAUMHxC7MBQJwQB7AsXLtQC5/XXX5cmTZrofbXxn02bNukMYkgjXB1D5WrjvlWnHx5LAiRAAiRAAiRAAiTgnwCFh39GusXFF18smIWwCgLjUAgHzF7AdUdVyfY5E/HFF19Iz549jUP156pVq/QxSNOLwGi4BPXq1Utnafrxxx+14FGxIzJq1CjtvgWRUputf//+rtm+gmEClzWjAGMwx7EtCZAACZAACZAACZBAaAQoPALkBjcoxFg8/PDDHkeo6Bo90/Hcc89J7969PfZbN6AtCtthVgQVx/HwC3chuE/BULcDblooILhlyxZdPwS1QJDtSgVRW7uqtcuYNdq8eXO1rv/QQw/V8TLV6oQHk4AfArm5ufLkk0/qOju33XabmZbbz2HcTQIkQAIkQAIJSYDCI4q3tW/fvoJYBVQ2p5EACSQeAaR3Hjt2rL4wlf3OZ8KJxLt6XhEJkAAJkAAJ2AlQeNh51NgaitzhDShmN1AbhEYCJJB4BAYPHiwTJ07UFxZojZnEo8ArIgESIAESIIFKAhQeUfgmIM0uqplPmTJFZ6qKwhB4ShIggRogAJdKJIbYe++99c97mzZtauCsPAUJkAAJkAAJxCYBCo8o3Be4XCA1bocOHaJwdp6SBEiABEiABEiABEiABGqeAIVHzTPnGUmABEiABEiABEiABEig1hGg8Kh1t5wXTAIkUJMEtm/fLqWlpbW69k5N8ua5SIAESIAEYpcAhUfs3huOjARIIA4JoMAn6u8gW93KlSt15rpHH31Ubr755ji8Gg6ZBEiABEiABMJHgMIjfCzZEwmQAAkIhAfq8zzzzDMmjWXLlslhhx1mrnOBBEiABEiABGojAQqP2njXec0kQAIRJVBSUiJZWVmye/duadq0qWzcuFGSkpIiek52TgIkQAIkQAKxToDCI9bvEMdHAiQQdwQWLVokxx9/vB73oEGDdCrduLsIDpgESIAESIAEwkyAwiPMQNkdCZAACYwaNUrGjBmjQUyePFkuvfRSQiEBEiABEiCBWk+AwqPWfwUIgARIINwEjj32WPnmm290t3CzatasWbhPwf5IgARIgARIIO4IUHjE3S3jgEmABGKZANLnNmnSRMrKyqRz586yfPnyWB4ux0YCJEACJEACNUaAwqPGUPNEJEACtYHAjBkz5Oyzz9aXesstt8gjjzxSGy6b10gCJEACJEACfglQePhFxAYkQAIkEDiBoUOHyvPPP68PmDNnjvTt2zfwg9mSBEiABEiABBKYwP8DAAD//zecf7gAADFZSURBVO2dCfxVQ//Hv6WQJUuELEUlFEml9JClLBEpuyQe2ixJSFlKokWStSxFkrKEshRFhceSNdVjqyhaEHko+3L+85nnmfOfc+527nLu75x7P/N61dlm5sy8597fne/Md6nkqCRMJEACJEACBSHQsGFD+fDDD6VatWqybt06qVy5snzzzTeyyy67FKR+VkICJEACJEACcSVQiYJHXIeO7SYBEogage+//15q1KghWM856qij5IUXXpBevXrJL7/8IhMmTIhac9keEiABEiABEigqAQoeRcXNl5EACZQygfnz50vLli11F/v06aN3PcaPHy+LFi2SmjVrlnLX2TcSIAESIAESyEiAgkdGRMxAAiRAAsEIfPDBB7L//vu7maFuNWvWLDn44IPdezwhARIgARIggXIlQMGjXEee/SYBEgiFQJcuXWTOnDmyzz77yLBhw6RZs2ahvIeVkgAJkAAJkEDcCFDwiNuIsb0kQAIkQAIkQAIkQAIkEEMCFDxiOGhsMgmQAAmQAAmQAAmQAAnEjQAFj7iNGNtLAiRAAiRAAiRAAiRAAjEkQMEjhoPGJpMACZAACZAACZAACZBA3AhQ8IjbiLG9JEACJEACJEACJEACJBBDAhQ8YjhobDIJkAAJkAAJkAAJkAAJxI0ABY+4jRjbSwIkQAIkQAIkQAIkQAIxJEDBI4aDxiaTAAmQAAmQAAmQAAmQQNwIUPCI24ixvSRAAiRAAiRAAiRAAiQQQwIUPGI4aGwyCZAACZAACZAACZAACcSNAAWPuI0Y20sCJEACJEACJEACJEACMSRAwSOGg8YmkwAJkAAJkAAJkAAJkEDcCFDwiNuIsb0kQAIkQAIkQAIkQAIkEEMCFDxiOGhsMgmQAAmQAAmQAAmQAAnEjQAFj7iNGNtLAiRAAiRAAiRAAiRAAjEkECnB44orrnARtm/fXg499FD3OpeTmTNnypw5c3TR7bbbTlB/5cqVc6mq7Mr8+OOP0rt3b5kyZYqsWrVKwI8pHgSmT58uM2bMkM8++0yWLl0qX3zxhfz999+68RjT2267LVBHLrzwQj3+d955p5x55pmBypRzpvXr12u2o0aNkjZt2sjUqVPLGQf7TgIkQAIkQAIJBCIleGy99dbyww8/6EYefvjhrtCQ0OqANxo3biwLFy7UuXfZZRdZsWIFBY8A7ObNmyddu3bVE9ZzzjlHxo0bJxtttFGAkswSBQI33nijPPbYY7J8+XKBAGmnJ598Ujp27GjfSnn+r3/9Szp06CDr1q2T66+/Xq699tqUecv5wU8//SR33HGH3HzzzfLdd99pFCeddBIFj3L+ULDvJEACJEACSQlESvDo3r273HfffbqhlSpVks8//1xq166dtOGZbi5YsECaNGniZuvfv78MGzbMveZJcgKTJk2Sc889V/7880/p27evnkxhLJjiR+DXX3+VbbfdVn755RfdeOz2rV27Vt8L2puPP/5Y2rVrp4WYCy64QE+ww9o1xM7MbrvtFrRpFZ7v559/ljFjxshNN92kudoNouBh0+A5CZAACZAACfyPgBOhpFZYHdUs99+QIUNybl2fPn3celDnRx99lHNd5VJw9OjRjhIyNLdevXqVS7dLtp/ffvut5zugBPGc+rps2TKnZs2aui41oXaUQJNTPekKqZ0ZR+2qOa1bt3ZmzZqVLmskno0dO9bZcccdPXztv13gxEQCJEACJEACJOAlEKkdD8hC9erVEzXRwak+X7JkiT7P5j+s1teqVctdhWzevLm89dZb2VRRdnkfeOAB+ec//6n7ffzxx8u0adOolhbzTwFsPU488US3F/369ZMRI0a419mcvP3226KEAsEuyimnnKJVubIpnynvf/7zH9lmm23cbC1atJBrrrlGYOsVxQT7l6222kpOO+00UQKIHHbYYYLdIZO442FI8EgCJEACJEACFgGvHFLxV4MHD/asImIXJNukJlyeOpRxbLZVlFV+JZQ5m2yyiWZWvXp1Z82aNWXV/7A6e9FFFznKRkb/mzt3blivSVmvmhx7vgcvvvhiyrxBHih1Rbe+yZMnBykSOM/333/v1q3+PLnn2KV54oknHGUcH7iuisio1ETdNqP93PGoiFHgO0mABEiABKJOQKLWQOWJx1X3wQ94t27dsm5ip06d3EnAxhtv7EDlhCk5AbXS7CjDe5eXMpBNnpF3syagPIG5XO+5556sy+dboH79+u77N9tss7xVpPBZMX1StiPO6tWr822ip/zzzz/vtGzZ0m2zLYA0bNjQgbDz119/ecpE5WLQoEGedlPwiMrIsB0kQAIkQAJRIhA5wQNwlBtd90dcqTM4yjg2MDMIGRA2zKRFefAJXLYcMyr1G5dVgwYNnN9//70cMYTSZzNJx2ex2IKH8mjljiverwzEC9LH22+/3a33uOOOK0id/kpeeOEF56CDDnLfY77LOEKYUmqBzh9//OEvVqHXFDwqFD9fTgIkQAIkEBMCkRQ8xo8f75l0PPTQQ3q1Fkatmf6pGAWesspWISZDUfxmKq9hrooVJnXK1WrxG1HCb6xIwePee+/1fA/gOKAQCYLpHnvs4db96KOPFqLapHXAyPwf//iH+y5bAKlTp45z9913O7/99lvSssW+ScGj2MT5PhIgARIggTgSiKTgoWJ5OFANsScauZxvv/32sV7Bh177N998k/Fzpdx6ZrUrZCqE5yrDtWrVqo6KR2AeBTpiJwrvDpKUwX/GVWro+QdVpYHaTybvSmhbtn0K0pegeSpS8FAG4O7YYoz//e9/JzQb/FSMjoT7mW5ccsklbt1HHHFEpux5P589e7Zz8MEHu+80n1kcoSaIxYagn8O8G5OiAgoeKcBYt/Gdxd92O+E66HfeLsdzEiABEiCBeBKIpOABlJ07d0460bAnHZnOVZTm2IwKBAzouKtYI46KEu3sv//+TrVq1TQDFcAvZT9uuOEGnQ/G4ZdffnnKfP4H+LHfYYcdXMZYWU6XVFRm59VXX3Xuuusup0ePHloXHyptO+20U0bDX6ySQ3c/lb0OVq3hRhXjqTwbOSrifEJTPv30U80GanjIg7zg88orryTkxST7kEMOcapUqaJdtFbU56CiBA+MLWwwzPcDk3OTYJcBgXP33Xd3VDwOnUcF7nROPvlkZ/HixSZb2iN2OUzdcL+MnbNiJBjHY1zNu+0jPssjR450NmzYUIymJLyDgkcCEi1k4O8F1ObwGTPjBfVZqOldddVVDhaHMG5MJEACJEAC5UEgsoIH9LzND1Wux3feeSc2o4hJeap+Qq89WcKOyOabb+4p9/rrryfLmnDv5Zdf9pRTrksT8tg3IBCZiaq/nZlipEA4Qpljjz3WrtI9x4TSrnPnnXd2n+FEuVT1PLfz+lfcUZcR2Ew+CCAVYbtSUYIHvJSZvuOo3CRrnlBhTLeTuOWWWzrz58/3sE928eWXX3rqv+6665JlC+3eSy+95Aqqdj9xXqNGDQefN6yuFzNR8PDSnjBhggMBA2MC4bRDhw6OCrTowPsXvt/2uCEmChMJkAAJkEB5EIis4IFVW/sHCobPUO1J9Q8qNfYKfqNGjWI1glAV+frrr/WugooQ7flhxo90spV9dBAr1/aPOPTegyTsAtjlgrhahaCDVfFmzZp5yj722GMpX4mdik033VTnb9q0adJ8WIU3eUybwMIkGBPDRTLuwb0yAs2ZfDhH8DkktM1MdmwhCZ+dikgVJXgYQc8weuSRRxzYfJjgkCqujXPeeecl3T3ATluQtOuuu7pjgM9gRbi7nTNnjoMdMNNP+4gV9muvvdb57rvvgnQn7zwUPP6LEAK+im3ijgm+188++6yHL3Z37b8hUKVjIgESIAESKA8CkRU8gP/KK690f8AwqXj//fdTjop/1Ryra3FOZ5xxhqfvqSKJf/DBB449CfT/yKdisOeee3rqX7lyZaqsCfdh7G9P8gYOHJiQx9zAjoTJa6v8mOfmOHHiRDcfVKnSTWRVgEM3L+qGahZUwWD0DEEEghAEOcR/uP766x0VhNK8pqjHihI87Mk4BDAIoxA6EH3c70AAk3MzPuaY7ntmAJ5wwgmeckHVtEz5Qh7nzZvnqAB+nvaYvmyxxRYOPLfZgmwh323qouDh6F1FFbDSHQewn5sifg12Sc3iQLFU9cxY8UgCJEACJFBxBCIteEBX30wgcOzTp09KUl26dHHzYvK5atWqlHnj8AA/zGaFGn1PZ0uxdu1aV70o6I+4Xx0pG1UkxFqxx+X0009PihQ7FXY+GLCnEyhg24L8UK1KlxAQ0q4Xqj5Ywcc9GBpHJVWE4AEBDJwNH+waQv0INh+LFi1KQAMBDSpWJj+O6XawTAVnn322p0xQgdeUD+MI9UFb6LL7hM87dn3CShQ8HGfAgAGezwTUrdKlo446Sn9W4XiCiQRIgARIoDwIRFrwwBDYW/JYsU3mvx+TLdvW4eijjy6J0fO7En377beT9gtqadDdr1evXtLn/pv+KNFQT8o2GZUmTO5atGiRUBzqFJjw2pM/nKdTfYEAgzz33XdfQn32DUyg/fXiOqy4Eva7szmvCMEDAoCfDQRxqKilSnXr1vWUycQf9fjVASEMVmTCd2DKlCnOPvvs4+mLYQE1zDBd/5a74IFdRTt+Utu2bTN+HGBUDrU/JhIgARIggfIhUAldVT/OkU1qQiMXX3yx275nnnlG1Iq4e42TBx98UM455xz3nopwLEpVyb2O68mtt94ql156qdt8NbkRtbrvXpuTN954Q1q1aiVKrUiU6oy5nfKodlNETdDc52pSJl999ZV7HeRETRhEGe/rrEogFKXK4immdqBk0qRJorwlydSpU91nH374oey9997utTlRAokoVSlRXm7k448/FmUQbh4lHNWuiagVfFGuON1nSvDU5ZQ6l3uv0Cdqd0CUl57A1Q4ePFiU7ZHOryJZixLQApVVtjCiVNQC5fVnUq5uRQX589xWKosyfPhwzz37Qgkeonax3FszZswQFXDQvU520r9/fxkxYoT76IorrhCl3uheF+sEnwUlUMiQIUMEn2t/wudBqVrJ+eefL2rXw/+4YNf4XmK8TcJ42597cz+fo1Id9IxTPnUlK6tUGGWvvfZK9ijjPfxNfu6559x8GItc63Ir4QkJkAAJkEDpEYi6jAU1Ilt1BG4//enwww93VzmrV69e4T79/e3L9Xrp0qVuv9QnT+/+JKsLamZQy4IKVJDkt4eBjUi2yR8nwo6pgcBvaC+iZfu9k6XS+b7ssst0GSWsBGoK1DTwDvMPXrfCTtjFMe8L85iP+18l1HnaiEB79tj4GWEH0f5+oV9KOPRnS7hWE33Pe/B5KGbCDsfDDz/sqMmtpx1mXGDvA9WqYgUYLMaOh3+cTF8LdcSOUS7Jv8uGmCtMJEACJEACJJCMQORVrdBo22AR8SrsoGcrVqzw2EJA17+Ukq0GY3twMn1cs2aNjj4Og+ugyT9RgP1ItskICmbSY2xLYDOASR8mSZ988okD43eTB8dkkxvkwbg2btw4cDAxtcLsqbcYEeqjLnj43dyC9y233JJ2aOE+1x4fqMcFsfdBvXY5GHcXI8EeAMIpPJXZ7zfnELzg/KDYdgPlLHjY6rAYhx133FGrPUL10f8PHq+YSIAESIAEypdALASPp556yjPJsP2++12HpnI7m2qIMclC3INktiOpyhTzvl+XHjsIdrrwwgs1mzfffNO+7TnHTggENJMWLFjg4QnvM9km7DCYyR6OJn6I8URmghnCm5CdT6mPeV4F98hwfQxBJYg3JVP46aef9tSrVH/Mo0DH9957z3XDG6iAygT7FAiCQf8Zrz3oP/oXtBw8ceWS7r//fg8TjGumeBb+z1fPnj0DvXrUqFGed3Xq1ClQuVwzQZCAQOH3xmY+W02aNHGUalNa5wW5vjtIuWIIHtjdCfoZyiUfAoRmm+AK23aCYcYj1RHjFCRhAQNxmLCzxUQCJEACJFA6BGIheEBdwjZURhRsk+yJCFba03lNMmXs47777qsnUAceeKB9OzLnWMm3f8TtQH/Lli3TE9p0hpzwUIQJMCYHxvMQJqN2nXiW7Q88DJDtOuCmFTsXCNaHFU8TWwP1YqfG5IXnGzspmwT9DAJkNgkTXVMnjpkir9t1K31/XRZRk5Vti/2ooOfFNi43xvmGy0UXXZS2PxD6TBR4U0bZC6UtYx76BU8IwGEkCBzKhstBEE3TRvuIqNjmcx3G+4PWWQzBI2hbipnPdoONcUH8FKjqpfqHXblMCaqBtWrV0uON3W4mEiABEiCB0iEQC8EDuDGJsiccUOPBJMm+hx//bJLfLWw6j0vZ1FvIvPBAZa+c2x67TKyPdLs8tttTZaTvNg0TBJtdppVxt+D/Tvy7UNCnh3cr1Ol3owlBxLzLRNFGNZgwQuhBuWxUY/wr+6gbHnUwkQ6S4B3NtEcZUgcpklOeYgoeELghSJl+gSuCN6ZLyjjczY9yiC4dNPnjf8Dmo5AJnwd8juCpzfTJPsKuCxHMo5LKVfDA7pw9LoVYwIEHNlMn3CAzkQAJkAAJlA6B2AgecCVrfoxwvPrqqx2ohZh7mGhhByCbhMmNiY6+3377ZVO0qHlh+2D6CbegSObHOdNkEWpppiwC6plk14nnX3zxhXkU6Ai1DFMvjrVr19bXBxxwQMKuE6Jhm7zHHnusrh82IVhthxtg5cUq0DuRCQb3UCGCTQh2vky9OCKOQ5AEZsgPF8xwXhBWKqbg8e6773pYwPg+XcJOjx2/A4Ib2AZN9ncPLMeNGxe0aNp8UHl84IEHUgoc+Py89tpraeuoiIflKnggsKn9HcRiSL4Jiy3ms3nMMcfkWx3LkwAJkAAJRIhAbAQPMLN99GPV2o4lkasnFRgMKzeQgVfLK2Ls4OXI/nGHugJ0pWE3kGlVG+3FjgiCMdrJNthH3TAyziYhwKHdJnOezGsVJg/muXIVq1lDQMG9oF6s0DZMSo2woVzGOo888ohbL+ryq2ulUruDKodyyxyq0IH2FlPwUO5yPSxgg5EumWCNZlyyjcPhV3WDnVQ+CSp52MmCbYJpkzliUQHvg3AV1UTB478e5gplPI6FENizRdX2LqqfQ7aLBEiABKJOIFaCh39yZSYmOAYJehb1wUjVPthp2H2FBytcqxgfqYpkvD9+/HhPnZkmqv4K4U3LbhPOU3nWUjFW3LwqroLTtWtXfW2rfvnrT3Y9cOBAXc7ofcOw1W6DrYYGuyAEJ8OKbEWlYgoeKu6HhwUMc1MlCG02t+7du6fKmvI+7KlMHdg1TCXkpazA98Af1BJ1wzaoc+fOCUKzr2gkLv2qZyqORyTaFXYj/Op6QVStsGOFCPNB3DaH3X7WTwIkQAIkUFwCsRI8Vq5c6bF3MBMf6AGrYHLFJVfEty1fvtyd5Jk+w9gek7Vc04YNG1x1BtRpJvNB60O0eNMWHGFUjl2QZAkep+y8OIcxeDq3rbDXsONPTJ8+XduD7Lbbbh53yrYNAD4HxlalW7du+p3PP/98siYV5V6xBA8VpFCrnhnG2CFIxRaryBgrkxcr1KnypoLkd9tbCOHOFjywkwcHANmofqVqa7Hum8+b4ZpJBbJY7Qr7PdgtNn3GEZ+9VH8H0BZ8H6HiiAWIVatWhd081k8CJEACJBAxArESPMDOHzgOP3bZ6BVDpQMTJ9hI3HPPPQ688WC1OOpb+rZBNPqcTkUJHqUWL17swAAcxp9YfUVf/cmeLGGSnM2qNTjaE44ePXr4q3ev4ULXzgtjc+xWpEpoNwJBwpYDKkHw5IXJCibMxm2vKYu4LXbd6JNRTbNdw0KlDnZCcMmqomw72B2BF64wU7EEDxOw0XDAe/0JYzt06FCP0NG3b9+sxtzUicB95l04+l08m3zZHCF4bLrpptqJRLb2Rtm8J4y8EJBtARhMEGckm+9TGO0qRp2wk7N3v9B3/I2GMGwnCLdQR4OjDDi2wN8nO+HvLxZY5s2b50DtD7tw5SK82Rx4TgIkQAKlTiB2ggcm3PakB+czZ84MPE4wQMYkwV71hfFz1JMtcJ1wwglpm3vqqad67AvAKFmAPX/wOL8dSNqXqIfYYUDdEAqgepUq2bYYWM3OFC+gffv2CWOM99x1110Jr0DsBjzz/8OYYlcHCZNaxECAIbvJh3Zg1ybMVCzBAxN/0y9zNGosmADC+9ORRx7p5oFqFNwf55owKTTvgZvbQgjtmKSHPR659jdVOajzIX6ObcNkuOCInaC4CVGp+pruvnHZbfcdzjpgcwWVTux4Ikgpnu++++4O4gj5E77HEGBsD37GEYU/L69JgARIgATiSyB2ggcmUsbjCX7I4O89G1esZqgGDx7sTp769etnbkf22KVLF91eeIJKt1tgOoBVWCMYQMgycTXMc3PEBMFMGLLV9YeHLZRFTId0CcKeeUcQWxx/UDuURWDCZAmBxqC2YerHEZMbqOX5kz1Bb926tf9xwa+LJXhg9wkBG+GZynDABK5OnTraAYG5h8kfvMGl+iwEAQBhzkwiUe/jjz8epFjJ5cEunD1JNoyTHSHwpvr8lgoYxPPAjlWy/uMevNDB1iuTy3LsnJo6/MFGS4UV+0ECJEAC5UygEjqv/tDHKinDWVm3bp1us5r8inINm3X7VTwJUW47dbkXX3xR2rRpk3UdxSygPHqJ0p0WFUxNVGyOjK9WK62iXNzqfMrjl6hdhqRlVCwUUZNwUcKbKGNeWbhwoeBdQdJhhx2ms82ePVvUDkLKImo3RJQwIGrSK8oIN2U+80BNjEUJhrJo0SJRKleiDIylY8eO5nHCEW1WakSi7DtEec0SNcnT5fwZVawRURMbfVutxur2+PMU8lrF1ZBvv/1WV6lU3UQJdoWsPqEuNakTJVyJ8nQmyj5ClMtcUUKCqJVkUUa/olbm9RgnFMziBsYQrJFQp9o1y6J06WRVcYQE37Ggadttt9WfzaD545gPf5PVjrQoL3r6u4g+77rrrqI8lYnahRUliGfsFj6j+AwjqV072XvvvTOWYQYSIAESIIH4EIil4FEIvMpIWZSth6jVSC3EqBW5QlQbSh34MVc7HnLccceJCroX6B1KxUGUga7Oq4K7iVqhTVnuxhtvdJ9n8w4jrCiD0pR1mwdKx1vUiry5rJDjKaecIkqlQ79b2XtIs2bNQm2HLXhg3MA2zknFyZGGDRuKUjESZX8jyoVuwSaGatdGC4xff/11aIhU0EHBggNTNAngcwVhRe1iaoElG8Eumj1iq0iABEiABPwEylLwUAHr3AlTu3btREWv9nOJzDVWVjFBxiQWk2XlzSpQ204//XR59NFHdV6sSmN1OlVS+vXStm1bmTt3rs6ibAJEGdynyh7L++gjGGJVFgyVsbkoVZlQ+wJhy6SKFrpMO/I5KmNfefrpp3UV+GxhFbtQCbtVSo2wUNUlrUc5HhDsejFFk8CcOXPcnWflNEJUUMpoNpStIgESIAESyJ1AOeqZ2XEMRo8eHVkE0MVXqgbau5NSOwrcTuj8G/sCtYLo4DpTgmtLUwbGx8lsJDLVEeXnCHCnviX6X6GCnEW5v4VuG74nhh/sRAqdbHe65j2FPsLjGVN0Cdhut5VgG92GsmUkQAIkQAI5EyjLHQ8V6M5VWVKenALbNKiJUNES1JhUbA29G/PEE0+ktXHwN0pFeHbViKBepLzO+LMkvVaBvURFiNa7AcorlNbVVob8SfPG7aatTgY1NKrcBB/ByZMny1lnnQVHFKLcMwey0wle+39zKqcRgWyXsq3Xzn/yySeLcr1t3+J5hAjAPuu9997TO5Fr167ValcRah6bQgIkQAIkUAgCOYssMS0If/KID6HYaW9IUegGYonAt7364XXg4haemuDDHm1U9hlZNxFeplAW/4J4kbJfgBgniD6MskrFy1ETAPtxbM8RKdkwQR+ZghG4++67dQRxeHC64447ghViLhLIkgD+ziD4IL6jzZs3z7I0s5MACZAACcSFQOzc6eYLFgHozAT03HPPzbe6vMsjDoBpD45wfWviTQwYMCCn+u2YHytWrMi6DrjiReRotAfxL/Jxv5r1y0MogCjoxtUsVNeYghG4+eab9WcA7okRcJOJBMIiYMfjCUOVL6x2s14SIAESIIHsCJSd4DF8+HB3oj9lyhQd/EypFznKBWl25AqUWxlUuu0xAgiEj1xtTxDTxOzoIHoyEgIs9unTJ+sWK0NcR7nMdTBxj3NCNGTD9pJLLtFdueqqqxylwhbnboXe9pEjRzpKJS32gmfooPiCvAn07t3b/Y4i7g/ixRx99NGOckedd92sgARIgARIIDoEys7G48wzzxQlcKh5qAjiSyCuBPzFw/c84lgUO6moz9K1a1dRkaQFXpAQc0NN+KRFixY5NQUxHJTAocuqyMmCf0rNSPvXV5GAc6oz7oWUMwFRAofuxvTp07UNC+JRIP4H4sAwkQAJVCwBxARSAoeoIISCeDSwxYHXuaeeeqpiG8a3kwAJkAAJFJRA2QkeahVNZs2apSHuu+++Osga3M0iwF1FJviwhxCC+Aj5JAQEbNWqla4CAQQRwK5nz56i1GbyqTbWZQcNGqSNotEJBEdcsmSJdguLYGVMJEACFU8Af4sXL16sF3/q1aunF2GycR9e8T1gC0iABEiABIIQKDvBw/ZuBGEDHqOaNGkShFUs8ij7DKlZs6asX79eENhPqTCIUtvS57HoQAiNRGT6I488UteMSOiI5aBc6obwJlZJAiSQCwHlYEPGjBmjizZq1EimTZumI57nUhfLkAAJkAAJRJdA2QkeGAq4m8UEHe4bsbVfagnB2LCLA5WrOnXqlFr3cuoPom4vX75cDjjggNAD1eXUQBYigTImoLSPBbu1UHfF32Vl51bGNNh1EiABEihdAmUpeJTucLJnJEACJEACJEACJEACJBBNAhQ8ojkubBUJkAAJkAAJkAAJkAAJlBQBCh4lNZzsDAmQAAmQAAmQAAmQAAlEkwAFj2iOC1tFAiRAAiRAAiRAAiRAAiVFgIJHSQ0nO0MCJEACJEACJEACJEAC0SRAwSOa48JWkQAJkAAJkAAJkAAJkEBJEaDgUVLDyc6QAAmQAAmQAAmQAAmQQDQJUPCI5riwVSRAAiRAAiRAAiRAAiRQUgQoeJTUcLIzJEACJEACJEACJEACJBBNAhQ8ojkubBUJkAAJkAAJkAAJkAAJlBQBCh4lNZzsDAmQAAmQAAmQAAmQAAlEkwAFj2iOC1tFAiRAAiRAAiRAAiRAAiVFgIJHSQ0nO0MCJEACJEACJEACJEAC0SRAwSOa48JWkQAJkAAJkAAJkAAJkEBJEaDgUVLDyc6QAAmQAAmQAAmQAAmQQDQJUPCI5riwVSRAAiRAAiRAAiRAAiRQUgQoeJTUcLIzJFAYAsuWLZNHHnlEli5dKsuXL5eqVatK3bp15ZBDDpFTTjlFXxfmTayFBEiABEiABEigXAhQ8CiXkWY/SSAAga+//lp69uwpTz/9tPz999+6xFZbbSXr1693r2vVqiVjx46VE044IUCNzEICJEACJEACJEAC/yVAwYOfBBIgAU1gwYIFcvzxx8vKlSv1ddOmTWX8+PHSuHFjLXjccMMNMnLkSHEcRypVqiRDhw6V/v37kx4JkAAJkAAJkAAJBCJAwSMQJmYigdImsHbtWtl///1l9erVuqP16tWTt956S7bZZhtPx4cMGSIDBw5070Ed67TTTnOvcz1ZuHChnH/++XLllVdKp06dtGCTa10sRwIkQAIkQAIkEE0CFDyiOS5sFQkUlcBxxx0nM2bMcN/5zDPPSPv27d1rcwL1q3333Vc+/PBDfWvzzTfX57vttpvJktPxvffeE+ywIDVs2FCuuuoqLdBstNFGOdXHQiRAAiRAAiRAAtEjQMEjemPCFpFAUQlAiMBk36RGjRrJokWLzGXCceLEidK1a1f3/nnnnSfjxo1zr3M5sQUPU75+/fpaADnrrLOkSpUq5jaPJEACJEACJEACMSVAwSOmA8dmk0ChCFx++eUyatQot7rrrrtOBg0a5F77T3744QfZfvvt5Y8//tCPIBTA+1Xt2rX9WQNfQ9ULwszMmTMTytSpU0fbkpx77rmy8cYbJzznDRIgARIgARIggXgQoOARj3FiK0kgFAJ//vmn7LLLLgJvVibBtqN58+bmMunxiCOOkLlz57rPbrrpJrniiivc61xP8O7Bgwd71L5MXTvvvLP069dPunXrJtWqVTO3eSQBEiABEiABEogJAQoeMRkoNpMEwiAAt7kdOnRwq8buxYYNG2STTTZx7yU78e+SHHjggTJ//vxkWXO69/bbb2sB5Lnnnksov8MOO8hll10mvXr1ki222CLhOW+QAAmQAAmQAAlEkwAFj2iOC1tFAkUhAPWlCRMmuO+CrcfixYvd61QnDz30kJx99tnu48qVK8uvv/5a8MCC77zzjhZAnn32Wfdd5qRGjRrSp08fufjiiwWxRphIgARIgARIgASiTYCCR7THh60jgVAJtGnTRubMmeO+o23btjJ79mz3OtXJSy+9JMhrp88//1xgjxFGevfdd7UAAm9b/gSho3fv3loI2Xbbbf2Py/76m2++kalTp8rHH3+so9DDUxi8kCEK/X777SfDhg2T1q1bC4RQJhIgARIgARIIkwAFjzDpsm4SiDiBvffeW09ITTNPPvlkefzxx81lyiN2Ivx2IC+//LKewKYsVIAH8H4FGxCoiPkT1K4uuOACrYZVs2ZN/+Oyu16zZo22u8F4/v7779oupm7duvLZZ5/Jzz//7OFx++23650jz01ekAAJkAAJkECBCVDwKDBQVkcCcSJQvXp1HZXctBlB/O677z5zmfK4ZMkS2XPPPT3PJ02aJJ07d/bcC+vi/fffl+uvv16mTZuW8AoYnnfv3l1PumGQXo7piSee0AzWrVunuw+1OHgu22677QQOBaZMmaIDNkIgQUIMl3bt2ulz/kcCJEACJEACYRGg4BEWWdZLAhEnACPyLbfc0tNKGG3ffPPNnnvJLuD+1r+rMHToUBkwYECy7KHdW7BggSuAOI7jeQ8M5KE+1L9//7xc/XoqjcHFAw88IIitYnj07dvX4y7ZdAG2PUa96pNPPkkQJE0+HkmABEiABEigUAQoeBSKJOshgZgR+PTTT6VBgwaeVg8ZMkSuueYaz71kF1gp93u+6tmzp4wdOzZZ9tDvffDBB1oAeeqpp9wJt3lp1apVpUuXLjJw4MCSF0CmT58unTp1EkSYR+rRo4fcfffdBoXn+NdffwlUr1auXCm//PJLwR0DeF7GCxIgARIgARJQBCh48GNAAmVKAMbGsPGwUzbxOCpVqmQXlQsvvFDuvPNOz71iXmAXBgLGCy+8kPS1aBvaWKrpp59+kr322ksLEugj4rMgKr1/V8vuPwQTOBOA3QcTCZAACZAACYRNgIJH2IRZPwlElMD3338vfi9Q1157rd45yNRkuM71B/G79NJL5ZZbbslUtODP4bVp5MiRMmbMmASjabwM3rewi3PooYfm/W470GLelSWpYOutt07YSUqSLemtq6++WqDuZhLsX+wYLea+fYTA8dVXX0mrVq3s2zwnARIgARIggVAIUPAIBSsrJYF4EIC6lDEwRovhlva2227L2HhMVnfaaSdPvmx2SzwFc7yAEACBA+pdfi9NqPL4448XTMZbtGiR4xu8xaC+BFe0YSaoip144olZv2LZsmWCGCy//fabLrvHHnvI0qVLxb8rlXXFLEACJEACJEACBSRAwaOAMFkVCcSNwK677uqq5qDt8H704IMPZuxGMjUtBBU866yzMpbNNwOEHgg5sF2AbYKdEMjwpJNO0gJH48aN7Ud5n0dZ8IAbZHiyMglCCGxakqV69erJAQcckOwR75EACZAACZBAqAQoeISKl5WTQLQJNGvWTBCczySo5iRzUWuem+Obb74pBx10kLnURwQVPOKIIzz3CnkBgWPEiBFyzz33JAgcVapUkTPPPFN71YKdQxgJgsfGG28sMMoOKyFAYvv27bOqHt7J4CbX7HZkKhw0On2mevicBEiABEiABLIlQMEjW2LMTwIlRKBjx44eQQN2EPPmzcvYw+effz4h7gMMmf3G6hkrCpABgfAgcNx7770JAgcEAbiEvfLKK2X33XcPUFt+WeA9C0bcYaWmTZtmbeMBT1a2etZmm22mVeZStRFjhJ2tTKlXr17y6quv6t2jM844I1N2PicBEiABEiCBjAQoeGRExAwkULoExo8frwPJmR7WqlVLVq1aZS5THmFb0a9fP/f5jjvuqFW2CmkDsXr1alfggDG7nTC57tatW1kHCTQ8brzxRo8L5CZNmggivOeT7Mj0GFsIf0wkQAIkQAIkkC8BCh75EmR5EogxAUS23mGHHXQ0a9MNeInafvvtzWXS47HHHiszZ850nxXSoxUEH+xwIIK6X+CAa1i4xMX7/AEM3caU2Ql4wKOXSaeeeqo8+uij5jKn48KFC8XYyGCHBLtZTCRAAiRAAiSQLwEKHvkSZHkSiDmBY445xhP7IpNnpT///FO74V2/fr3bc6yQQ00onwSBY/jw4Vrg8NsrwO0vPG7h3zbbbJPPa0quLAz6H374Ybdf3bt313Yw7o0cT+Aa+f3339fMmzdvnmMtLEYCJEACJEAC/0+Agsf/s+AZCZQlAb+6VSbPVvPnz5eWLVu6rGDM/dFHH7nXuZx88skneoXdL3BgN6Zv375ywQUXyBZbbJFL1SVfBipvUH0zCcbpMFJPlyA0Tp06VRvk+yPQpyvHZyRAAiRAAiSQDwEKHvnQY1kSKAECCCRYv359+e6773RvoM70+eefS40aNZL2DrsOd9xxh/usEPE7YJNg75gg6jYm1Oeff35CoEL3xTzRBOBWGIbgJmHcvvzyy5TcMM7t2rXTdiAQIm3upg4eSYAESIAESCAMAhQ8wqDKOkkgZgQmT54snTt3dlt9ySWXyK233upemxMEpWvUqJHruhXxIOBat2rVqiZLTkcjeCDwXf/+/aVr167adW1OlZVZIRjhw6OXHQhy9OjR0qdPnwQSCxYskNNOO00+/fRTrY4Ftaxk6YcffhDYeaxcuVLo0SoZId4jARIgARLIhQAFj1yosQwJlCCBHj16aJe1pmsw7saOg0nwbIQ4HQgeiAQD9FdeeUUKETcDsTHgohf2JoX0jGXaXupHCBAYL5MQSBHerrp06aKN8KHKhueIgfLHH39o4/3LL7/cZNfHGTNmaBsb7HZB4ECCSt0bb7yhz/kfCZAACZAACeRLgIJHvgRZngRKiMCAAQP05NN06cgjj5TDDjtM1q5dK/fff7/8+OOP+lGDBg0EE1XsUDBVPAFEcEcsj1mzZqVtDIz0EWEeXsn8CWMMAQUxUV5//XX9eNCgQXLdddf5s/KaBEiABEiABHIiQMEjJ2wsRAKlSwAqNkOHDpVnn33WEyyvUqVKencDalhQhdp0001LF0IMewbD/HHjxumdDQQ6NAk7U/Xq1dNjBg9Ym2++uXmU9Hj66ae77nhfe+01adWqVdJ8vEkCJEACJEAC2RKg4JEtMeYngTIiAPWqFStWCAzOsbtRrVq1UHoPL0uwFQkztW7dOuuo4GG2J8y6EV0ddhowNM/Ga5XjODquC3Y/ttpqK/n222+lSpUqYTaVdZMACZAACZQRAQoeZTTY7CoJRJWAMS4Ps32jRo3SrnnDfEfc60bcDjgMQOrYsaM8+eSTce8S208CJEACJBAhAhQ8IjQYbAoJlCuBYggew4YN0x6zypVxkH7DNTJsPJDGjh0rPXv2DFKMeUiABEiABEggEAEKHoEwMRMJkECYBJYsWSJ77rlnmK8QCh6Z8cKZwIsvvqgzLlu2jM4DMiNjDhIgARIggSwIUPDIAhazkgAJhEcAdgmwMQgrwdYh33gjYbUtCvXCMxa8Xv36669St25dQcwWJhIgARIgARIoJAEKHoWkybpIgARIIKYEsNOBHQ8kREIfM2ZMTHvCZpMACZAACUSVAAWPqI4M20UCJEACRSQwcOBAGTJkiH7jtGnTpEOHDjJp0iQd6Zw7RUUcCL6KBEiABEqYAAWPEh5cdo0ESIAEghI46qijZPbs2Tpy/Lp163SgwdGjR8uiRYtCc6MctG3MRwIkQAIkUBoEKHiUxjiyFyRAAiSQF4H69etru46tt95aevfuLSNGjJB58+ZJy5Yt86qXhUmABEiABEjAEKDgYUjwSAIkQAJlTKBt27by0ksvaQKVK1eWiRMnSufOncuYCLtOAiRAAiRQaAIUPApNlPWRAAmQQAwJLFiwQBuUw/vXOeecI02bNo1hL9hkEiABEiCBKBOg4BHl0WHbSIAESIAESIAESIAESKBECFDwKJGBZDdIgARIgARIgARIgARIIMoEKHhEeXTYNhIgARIgARIgARIgARIoEQIUPEpkINkNEiABEiABEiABEiABEogyAQoeUR4dto0ESIAESIAESIAESIAESoQABY8SGUh2gwRIgARIgARIgARIgASiTICCR5RHh20jARIgARIgARIgARIggRIhQMGjRAaS3SABEiABEiABEiABEiCBKBOg4BHl0WHbSIAESIAESIAESIAESKBECFDwKJGBZDdIgARIgARIgARIgARIIMoEKHhEeXTYNhIgARIgARIgARIgARIoEQIUPEpkINkNEiABEiABEiABEiABEogyAQoeUR4dto0ESIAESIAESIAESIAESoQABY8SGUh2gwRIgARIgARIgARIgASiTICCR5RHh20jARIgARIgARIgARIggRIhQMGjRAaS3SABEiABEiABEiABEiCBKBOg4BHl0WHbSIAESIAESIAESIAESKBECPwf5Ga0d5f3Dg0AAAAASUVORK5CYII=)"
      ],
      "metadata": {
        "id": "czXw9avc6EeX"
      }
    },
    {
      "cell_type": "markdown",
      "source": [],
      "metadata": {
        "id": "5WER2_FwCyjK"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "I_set = [i for i in train_df.index]\n",
        "m = len(J_set)\n",
        "Y={i:2*train_df.loc[i,\"output\"]-1 for i in I_set}"
      ],
      "metadata": {
        "id": "359022mJLLZn"
      },
      "execution_count": 83,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "model = AbstractModel()\n",
        "model.i = Set(initialize= I_set)\n",
        "model.j= Set(initialize= J_set)\n",
        "C = 0.5\n",
        "def rule_x(model,i,j):\n",
        "  return train_df.loc[i,j]\n",
        "model.X = Param(model.i,model.j,initialize= rule_x, mutable = True)\n",
        "\n",
        "model.w = Var(model.j, bounds=(-200,200), within=Reals)\n",
        "model.beta = Var(bounds=(-300,300), within=Reals)\n",
        "\n",
        "model.eps = Var(model.i, bounds=(0,200), within=Reals)\n",
        "\n",
        "def rule_con1(model,i):\n",
        "  return  Y[i]*( sum(model.w[j]*model.X[i,j] for j in model.j)+ model.beta) >= 1- model.eps[i]\n",
        "model.con1= Constraint(model.i, rule=rule_con1)\n",
        "\n",
        "def rule_of(model):\n",
        "  return 0.5*sum(model.w[j]**2 for j in model.j) + C * sum(model.eps[i] for i in model.i)\n",
        "model.obj = Objective(rule=rule_of, sense=minimize)\n",
        "instance = model.create_instance()\n",
        "st= time.time()\n",
        "result = opt.solve(instance)\n",
        "ft= time.time()\n",
        "print(\"time\", ft-st)\n",
        "print(\"obj\", value(instance.obj))"
      ],
      "metadata": {
        "id": "LxcJDJCfWxsS",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "ef84dd4a-da4f-411d-e4cc-b5f39a141b22"
      },
      "execution_count": 84,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "time 1.27504301071167\n",
            "obj 95.68525030039591\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "error = 0\n",
        "for i in test_df.index:\n",
        "  actual = 2*test_df.loc[i,\"output\"]-1\n",
        "  predict = sum(test_df.loc[i,j]*value(instance.w[j]) for j in instance.j) + value(instance.beta)\n",
        "  if predict >=1:\n",
        "    predict = 1\n",
        "  else:\n",
        "    predict = -1\n",
        "  error += 1 if abs(actual-predict)>0 else 0\n",
        "print(\"error\", error/len(test_df))"
      ],
      "metadata": {
        "id": "F8_rHbIqWxxM",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "6899d4d0-5505-4859-90a3-107949f83289"
      },
      "execution_count": 85,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "error 0.07\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "value(instance.w['x1']),value(instance.w['x2']), value(instance.beta)\n",
        "\n",
        "[value(instance.w[j]) for j in instance.j]\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "07Lb_FpAzRqb",
        "outputId": "16c8cc51-1d66-4c5e-df39-f18d6d4f79ff"
      },
      "execution_count": 86,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "[0.12652504775586815,\n",
              " 0.10508709851458886,\n",
              " -0.19246572610351936,\n",
              " -0.2886876591722761,\n",
              " -0.3101256084135584,\n",
              " 0.23161214627046398,\n",
              " -7.631929679926302]"
            ]
          },
          "metadata": {},
          "execution_count": 86
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "plt.scatter(df['x1'],df['x2'],c=df['output'])\n",
        "#wx+b =1.  w[x1]*x1 + w[x2]*x2 + b = 0\n",
        "#wx+b =-1\n",
        "#wx+b =0\n",
        "X = np.linspace(-1,1,100)\n",
        "\n",
        "y1 = [(0-value(instance.beta)-value(instance.w['x1'])*x)/value(instance.w['x2'])  for x in X]\n",
        "plt.plot(X,y1 , c= 'g', lw = 3)\n",
        "\n",
        "y2 = [(1-value(instance.beta)-value(instance.w['x1'])*x)/value(instance.w['x2'])  for x in X]\n",
        "plt.plot(X,y2 , c= 'r', lw = 3)\n",
        "\n",
        "\n",
        "y3= [(-1-value(instance.beta)-value(instance.w['x1'])*x)/value(instance.w['x2'])  for x in X]\n",
        "plt.plot(X,y3 , c= 'r', lw = 3)\n",
        "\n",
        "\n",
        "for i in range(len(df)):\n",
        "  plt.text(df.loc[i,'x1'],df.loc[i,'x2'],s=str(i))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 430
        },
        "id": "36AasrYoxyb4",
        "outputId": "fb351dc2-e339-4fc1-99fc-b51b25224caf"
      },
      "execution_count": 47,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": "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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "xleBuBrq4YlQ"
      },
      "execution_count": 47,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "![Screenshot 2024-08-09 at 12.25.35.png](data:image/png;base64,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)"
      ],
      "metadata": {
        "id": "dh5hZ-_a4aSY"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "model = AbstractModel()\n",
        "model.i = Set(initialize= I_set)\n",
        "model.j= Set(initialize= J_set)\n",
        "C = 0.5\n",
        "def rule_x(model,i,j):\n",
        "  return train_df.loc[i,j]\n",
        "model.X = Param(model.i,model.j,initialize= rule_x, mutable = True)\n",
        "model.alpha = Var(model.i, bounds=(0,C), within=Reals)\n",
        "\n",
        "def rule_con1(model):\n",
        "  return  sum(Y[i]*model.alpha[i] for i in model.i) == 0\n",
        "model.con1= Constraint(rule=rule_con1)\n",
        "\n",
        "def rule_of(model):\n",
        "  return sum(model.alpha[i] for i in model.i) -0.5*sum(Y[i]*Y[ii]*model.alpha[i]*model.alpha[ii]*sum(model.X[i,j]*model.X[ii,j] for j in model.j) for i in model.i for ii in model.i )\n",
        "\n",
        "model.obj = Objective(rule=rule_of, sense=maximize)\n",
        "instance = model.create_instance()\n",
        "st= time.time()\n",
        "result = opt.solve(instance)\n",
        "ft= time.time()\n",
        "print(\"time\", ft-st)\n",
        "print(\"obj\", value(instance.obj))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "0xljDFb94a-H",
        "outputId": "66af5b24-3d2a-4cf4-dfeb-203971fa712c"
      },
      "execution_count": 48,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "time 3.8409206867218018\n",
            "obj 17.440798098523437\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "print(\"Total samples\", len(I_set))\n",
        "nonzero = 0\n",
        "for i in instance.i:\n",
        "  if value(instance.alpha[i])>0.01:\n",
        "    print(i, value(instance.alpha[i]))\n",
        "    nonzero+=1\n",
        "print(f\"Number of nonzero alpha = {nonzero}\")\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "DWAKZ3ll6TnA",
        "outputId": "7727b9b7-1c70-4e56-8d9d-ea7cea2dcfa1"
      },
      "execution_count": 49,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Total samples 160\n",
            "122 0.4999999923954697\n",
            "29 0.24384947930103046\n",
            "86 0.5\n",
            "114 0.5\n",
            "173 0.5\n",
            "98 0.48111231387560854\n",
            "172 0.4999999977142509\n",
            "97 0.5\n",
            "90 0.49999997388584455\n",
            "162 0.5\n",
            "118 0.5\n",
            "26 0.4999999939782624\n",
            "139 0.5\n",
            "187 0.5\n",
            "27 0.07346184534702004\n",
            "144 0.5\n",
            "146 0.49999999937263484\n",
            "0 0.5\n",
            "198 0.5\n",
            "28 0.5\n",
            "40 0.1856674116047731\n",
            "184 0.3749412765482373\n",
            "147 0.5\n",
            "39 0.5\n",
            "168 0.5\n",
            "3 0.5\n",
            "105 0.5\n",
            "133 0.49999992363762247\n",
            "178 0.5\n",
            "80 0.5\n",
            "7 0.5\n",
            "181 0.5\n",
            "171 0.4999999905882894\n",
            "17 0.5\n",
            "175 0.5\n",
            "134 0.5\n",
            "63 0.5\n",
            "107 0.5\n",
            "50 0.5\n",
            "196 0.4999999946691389\n",
            "192 0.5\n",
            "157 0.5\n",
            "149 0.49999999552586166\n",
            "103 0.5\n",
            "99 0.5\n",
            "87 0.4999997118808646\n",
            "74 0.49999929303570995\n",
            "106 0.5\n",
            "Number of nonzero alpha = 48\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "Htx5gyz97OsX"
      },
      "execution_count": 50,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "$$Y_i(WX_i+b) =1$$  "
      ],
      "metadata": {
        "id": "Ug2JcpuSa2yY"
      }
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "MztlqX1yZghO",
        "outputId": "aff07794-0c17-40a7-f64f-2a862f2883e8"
      },
      "execution_count": 51,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "3.190716496290177"
            ]
          },
          "metadata": {},
          "execution_count": 51
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "eX_YZM4O7-8y"
      },
      "execution_count": 51,
      "outputs": []
    }
  ],
  "metadata": {
    "colab": {
      "provenance": [],
      "include_colab_link": true
    },
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    }
  },
  "nbformat": 4,
  "nbformat_minor": 0
}