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    {
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      "execution_count": null,
      "metadata": {
        "id": "7tl5lBOQjTm8"
      },
      "outputs": [],
      "source": [
        "import pandas as pd\n",
        "import numpy as np\n",
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns\n",
        "from sklearn.linear_model import LinearRegression\n",
        "from sklearn.model_selection import train_test_split\n",
        "from sklearn.metrics import r2_score, mean_squared_error"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "    from google.colab import drive\n",
        "    drive.mount('/content/gdrive')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "2uQKmRI_jq-8",
        "outputId": "ab7434d9-554e-43f5-f535-30c52434be19"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Mounted at /content/gdrive\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "#load the data\n",
        "df = pd.read_csv('/content/gdrive/MyDrive/Colab Notebooks/Module1-data.csv')\n"
      ],
      "metadata": {
        "id": "2dZ_1xQ7kNal"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df.head()"
      ],
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        "colab": {
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          "height": 206
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        "id": "6oigOuA1kiH2",
        "outputId": "ea18497e-8b18-4056-bed9-8ec3f09a4ba0"
      },
      "execution_count": null,
      "outputs": [
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              "     A   B     C     D           E\n",
              "0   96  10   160   420  142.857143\n",
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              "2  100  11  1925   744    6.347514\n",
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              "        async function quickchart(key) {\n",
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          "metadata": {},
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        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df.tail(10)"
      ],
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          "height": 363
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        "id": "PREz3euPkpnO",
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              "        A   B     C     D           E\n",
              "1390  107   9   180   364  181.454348\n",
              "1391  101  10  1835   646    8.520259\n",
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              "    <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-aa74d240-1547-4f6b-9e04-67a2bc303c6c 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-aa74d240-1547-4f6b-9e04-67a2bc303c6c');\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-4987e2ca-c655-478d-8d3a-49d248482be8\">\n",
              "      <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-4987e2ca-c655-478d-8d3a-49d248482be8')\"\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-4987e2ca-c655-478d-8d3a-49d248482be8 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\": 10,\n  \"fields\": [\n    {\n      \"column\": \"A\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 4,\n        \"min\": 98,\n        \"max\": 110,\n        \"num_unique_values\": 8,\n        \"samples\": [\n          101,\n          103,\n          107\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"B\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 9,\n        \"max\": 11,\n        \"num_unique_values\": 3,\n        \"samples\": [\n          9,\n          10,\n          11\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"C\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 634,\n        \"min\": 180,\n        \"max\": 1835,\n        \"num_unique_values\": 10,\n        \"samples\": [\n          456,\n          1835,\n          501\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"D\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 412,\n        \"min\": 317,\n        \"max\": 1372,\n        \"num_unique_values\": 10,\n        \"samples\": [\n          1048,\n          646,\n          692\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"E\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 52.68975542904305,\n        \"min\": 5.417263746,\n        \"max\": 181.4543481,\n        \"num_unique_values\": 10,\n        \"samples\": [\n          20.50689701,\n          8.520258813,\n          29.13248647\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 16
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df.shape  # for number of rows and columns"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "W8xmGE0kkvuu",
        "outputId": "08c2418a-ada4-4776-be3f-6e80169f38bb"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(1400, 5)"
            ]
          },
          "metadata": {},
          "execution_count": 17
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df.columns"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "YuWMmyS4lBt-",
        "outputId": "56253a5e-424e-4742-b138-9849eea42314"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Index(['A', 'B', 'C', 'D', 'E'], dtype='object')"
            ]
          },
          "metadata": {},
          "execution_count": 18
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df.describe()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 300
        },
        "id": "haAEJwLmlFgG",
        "outputId": "7e508f20-59e6-4a00-d88a-f58850fd6fde"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                A            B            C            D             E\n",
              "count  1400.00000  1400.000000  1400.000000  1400.000000   1400.000000\n",
              "mean    100.12500     9.999286  1019.477143  1003.336429    141.254021\n",
              "std       5.88301     0.711892   581.183958   569.534483   2021.586473\n",
              "min      90.00000     9.000000     1.000000     1.000000      2.355419\n",
              "25%      95.00000     9.000000   515.000000   518.750000      6.231417\n",
              "50%     100.00000    10.000000  1030.500000  1021.500000     12.691218\n",
              "75%     105.00000    11.000000  1527.250000  1472.250000     36.617505\n",
              "max     110.00000    11.000000  1999.000000  2000.000000  73038.073040"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-e47b4dfb-98e5-4d8a-9292-1159d97ece8f\" 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>A</th>\n",
              "      <th>B</th>\n",
              "      <th>C</th>\n",
              "      <th>D</th>\n",
              "      <th>E</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>count</th>\n",
              "      <td>1400.00000</td>\n",
              "      <td>1400.000000</td>\n",
              "      <td>1400.000000</td>\n",
              "      <td>1400.000000</td>\n",
              "      <td>1400.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>100.12500</td>\n",
              "      <td>9.999286</td>\n",
              "      <td>1019.477143</td>\n",
              "      <td>1003.336429</td>\n",
              "      <td>141.254021</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>5.88301</td>\n",
              "      <td>0.711892</td>\n",
              "      <td>581.183958</td>\n",
              "      <td>569.534483</td>\n",
              "      <td>2021.586473</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>90.00000</td>\n",
              "      <td>9.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>1.000000</td>\n",
              "      <td>2.355419</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>95.00000</td>\n",
              "      <td>9.000000</td>\n",
              "      <td>515.000000</td>\n",
              "      <td>518.750000</td>\n",
              "      <td>6.231417</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>100.00000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>1030.500000</td>\n",
              "      <td>1021.500000</td>\n",
              "      <td>12.691218</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>105.00000</td>\n",
              "      <td>11.000000</td>\n",
              "      <td>1527.250000</td>\n",
              "      <td>1472.250000</td>\n",
              "      <td>36.617505</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>110.00000</td>\n",
              "      <td>11.000000</td>\n",
              "      <td>1999.000000</td>\n",
              "      <td>2000.000000</td>\n",
              "      <td>73038.073040</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-e47b4dfb-98e5-4d8a-9292-1159d97ece8f')\"\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",
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              "  </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-e47b4dfb-98e5-4d8a-9292-1159d97ece8f 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-e47b4dfb-98e5-4d8a-9292-1159d97ece8f');\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",
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              "  </div>\n",
              "\n",
              "\n",
              "    <div id=\"df-55d78427-d53b-43d9-864b-3860fc4bab27\">\n",
              "      <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-55d78427-d53b-43d9-864b-3860fc4bab27')\"\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",
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              "    </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-55d78427-d53b-43d9-864b-3860fc4bab27 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\": \"A\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 465.57201502875165,\n        \"min\": 5.883010333068011,\n        \"max\": 1400.0,\n        \"num_unique_values\": 8,\n        \"samples\": [\n          100.125,\n          100.0,\n          1400.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"B\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 491.919687036683,\n        \"min\": 0.7118918837297501,\n        \"max\": 1400.0,\n        \"num_unique_values\": 6,\n        \"samples\": [\n          1400.0,\n          9.999285714285714,\n          11.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"C\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 637.5469058389879,\n        \"min\": 1.0,\n        \"max\": 1999.0,\n        \"num_unique_values\": 8,\n        \"samples\": [\n          1019.4771428571429,\n          1030.5,\n          1400.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"D\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 632.271793859923,\n        \"min\": 1.0,\n        \"max\": 2000.0,\n        \"num_unique_values\": 8,\n        \"samples\": [\n          1003.3364285714285,\n          1021.5,\n          1400.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"E\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 25651.668834033026,\n        \"min\": 2.355419495,\n        \"max\": 73038.07304,\n        \"num_unique_values\": 8,\n        \"samples\": [\n          141.25402127902214,\n          12.691218035,\n          1400.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 19
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "plt.figure(figsize=(12,5))\n",
        "plt.subplot(1,2,1)\n",
        "plt.scatter(df['A'],df['E'], alpha=0.6, color='purple')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 462
        },
        "id": "blbdJcEh4rA3",
        "outputId": "0f4910cf-52e3-47cb-d8c1-b74822346261"
      },
      "execution_count": 38,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.collections.PathCollection at 0x7a8836a89550>"
            ]
          },
          "metadata": {},
          "execution_count": 38
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1200x500 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# add trend line\n",
        "z=np.polyfit(df['A'], df['E'], 1)\n",
        "p=np.poly1d(z)\n",
        "plt.plot(df['A'],p(df['A']), \"r--\", alpha=0.8)\n",
        "plt.scatter(df['A'],df['E'], alpha=0.6, color='purple')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 447
        },
        "id": "0qvED8Xu5AOS",
        "outputId": "395bb4d3-b51a-4821-a1fb-c69611b360af"
      },
      "execution_count": 42,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.collections.PathCollection at 0x7a8835d77b60>"
            ]
          },
          "metadata": {},
          "execution_count": 42
        },
        {
          "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": [
        "# Heat map generation\n",
        "sns.heatmap(df.corr(), annot=True)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 452
        },
        "id": "nN0zi-silacv",
        "outputId": "6b1a6e37-a451-407e-c412-344084740ceb"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<Axes: >"
            ]
          },
          "metadata": {},
          "execution_count": 20
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "selected = df [['A', 'D', 'E']]\n",
        "sns.heatmap(selected.corr(), annot=True)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 452
        },
        "id": "BpOFPP4qmv55",
        "outputId": "51156656-33dd-45e4-a62c-3ec8b26ad117"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<Axes: >"
            ]
          },
          "metadata": {},
          "execution_count": 23
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# pairplot\n",
        "sns.pairplot(df[['A','B','D','E']])"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1020
        },
        "id": "xJuBB0yRnIwy",
        "outputId": "9730d499-4c68-48d2-81f9-594cedf0c511"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<seaborn.axisgrid.PairGrid at 0x7a885fd22bd0>"
            ]
          },
          "metadata": {},
          "execution_count": 24
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x1000 with 20 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "sns.pairplot(df[['A','B','D','E']], kind='reg')  # regression"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1020
        },
        "id": "x2HY81rgoRZx",
        "outputId": "32d44b94-888d-423c-92b2-a518d5501a64"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<seaborn.axisgrid.PairGrid at 0x7a885f89ffe0>"
            ]
          },
          "metadata": {},
          "execution_count": 25
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x1000 with 20 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Column by column element-wise multiplication\n",
        "df['CD']=df['C'].mul(df['D'])\n",
        "df['BCD']=df['B'].mul(df['CD'])\n",
        "df.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "gheE1pERow9e",
        "outputId": "06a3267b-5a8e-44f0-a8d3-f5ceb1d387c3"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "     A   B     C     D           E       CD       BCD\n",
              "0   96  10   160   420  142.857143    67200    672000\n",
              "1  104  10  1037   879   11.409476   911523   9115230\n",
              "2  100  11  1925   744    6.347514  1432200  15754200\n",
              "3  104   9  1693  1045    6.531570  1769185  15922665\n",
              "4  109  11  1118  1171    7.568941  1309178  14400958"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-28308b16-afe9-47ab-80ba-79a708a18387\" 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",
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              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>A</th>\n",
              "      <th>B</th>\n",
              "      <th>C</th>\n",
              "      <th>D</th>\n",
              "      <th>E</th>\n",
              "      <th>CD</th>\n",
              "      <th>BCD</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>96</td>\n",
              "      <td>10</td>\n",
              "      <td>160</td>\n",
              "      <td>420</td>\n",
              "      <td>142.857143</td>\n",
              "      <td>67200</td>\n",
              "      <td>672000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>104</td>\n",
              "      <td>10</td>\n",
              "      <td>1037</td>\n",
              "      <td>879</td>\n",
              "      <td>11.409476</td>\n",
              "      <td>911523</td>\n",
              "      <td>9115230</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>100</td>\n",
              "      <td>11</td>\n",
              "      <td>1925</td>\n",
              "      <td>744</td>\n",
              "      <td>6.347514</td>\n",
              "      <td>1432200</td>\n",
              "      <td>15754200</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>104</td>\n",
              "      <td>9</td>\n",
              "      <td>1693</td>\n",
              "      <td>1045</td>\n",
              "      <td>6.531570</td>\n",
              "      <td>1769185</td>\n",
              "      <td>15922665</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>109</td>\n",
              "      <td>11</td>\n",
              "      <td>1118</td>\n",
              "      <td>1171</td>\n",
              "      <td>7.568941</td>\n",
              "      <td>1309178</td>\n",
              "      <td>14400958</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
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              "      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-28308b16-afe9-47ab-80ba-79a708a18387 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-28308b16-afe9-47ab-80ba-79a708a18387');\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-93399f96-c0a8-4b35-85e2-9350131e16e5\">\n",
              "      <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-93399f96-c0a8-4b35-85e2-9350131e16e5')\"\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-93399f96-c0a8-4b35-85e2-9350131e16e5 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",
              "variable_name": "df",
              "summary": "{\n  \"name\": \"df\",\n  \"rows\": 1400,\n  \"fields\": [\n    {\n      \"column\": \"A\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 5,\n        \"min\": 90,\n        \"max\": 110,\n        \"num_unique_values\": 21,\n        \"samples\": [\n          96,\n          107,\n          94\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"B\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 9,\n        \"max\": 11,\n        \"num_unique_values\": 3,\n        \"samples\": [\n          10,\n          11,\n          9\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"C\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 581,\n        \"min\": 1,\n        \"max\": 1999,\n        \"num_unique_values\": 1026,\n        \"samples\": [\n          1977,\n          1751,\n          544\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"D\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 569,\n        \"min\": 1,\n        \"max\": 2000,\n        \"num_unique_values\": 1006,\n        \"samples\": [\n          552,\n          515,\n          1459\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"E\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 2021.5864727242404,\n        \"min\": 2.355419495,\n        \"max\": 73038.07304,\n        \"num_unique_values\": 1400,\n        \"samples\": [\n          135.644093,\n          26.1922951,\n          4.122784295\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"CD\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 904239,\n        \"min\": 143,\n        \"max\": 3902468,\n        \"num_unique_values\": 1397,\n        \"samples\": [\n          137270,\n          1801047,\n          207088\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"BCD\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 9176316,\n        \"min\": 1287,\n        \"max\": 42927148,\n        \"num_unique_values\": 1398,\n        \"samples\": [\n          9436416,\n          6687369,\n          15051894\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 27
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "sns.pairplot(df[['A','BCD','CD','E']], kind='reg')  # regression"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1020
        },
        "id": "MuBBUkoqqc-R",
        "outputId": "e5fb2dba-452e-4814-922b-22c4c6a77202"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<seaborn.axisgrid.PairGrid at 0x7a8856ba0770>"
            ]
          },
          "metadata": {},
          "execution_count": 28
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x1000 with 20 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# column divide by column element-wise\n",
        "\n",
        "df['ABCD']=df['A']/(df['BCD'])\n",
        "df.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "1WyrgRjKrMHm",
        "outputId": "03a1a8e5-9a0a-4f36-9d75-d1428edf9fa4"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "     A   B     C     D           E       CD       BCD      ABCD\n",
              "0   96  10   160   420  142.857143    67200    672000  0.000143\n",
              "1  104  10  1037   879   11.409476   911523   9115230  0.000011\n",
              "2  100  11  1925   744    6.347514  1432200  15754200  0.000006\n",
              "3  104   9  1693  1045    6.531570  1769185  15922665  0.000007\n",
              "4  109  11  1118  1171    7.568941  1309178  14400958  0.000008"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-dfdb3505-7c57-4deb-9910-f1bf891e75fd\" 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>A</th>\n",
              "      <th>B</th>\n",
              "      <th>C</th>\n",
              "      <th>D</th>\n",
              "      <th>E</th>\n",
              "      <th>CD</th>\n",
              "      <th>BCD</th>\n",
              "      <th>ABCD</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>96</td>\n",
              "      <td>10</td>\n",
              "      <td>160</td>\n",
              "      <td>420</td>\n",
              "      <td>142.857143</td>\n",
              "      <td>67200</td>\n",
              "      <td>672000</td>\n",
              "      <td>0.000143</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>104</td>\n",
              "      <td>10</td>\n",
              "      <td>1037</td>\n",
              "      <td>879</td>\n",
              "      <td>11.409476</td>\n",
              "      <td>911523</td>\n",
              "      <td>9115230</td>\n",
              "      <td>0.000011</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>100</td>\n",
              "      <td>11</td>\n",
              "      <td>1925</td>\n",
              "      <td>744</td>\n",
              "      <td>6.347514</td>\n",
              "      <td>1432200</td>\n",
              "      <td>15754200</td>\n",
              "      <td>0.000006</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>104</td>\n",
              "      <td>9</td>\n",
              "      <td>1693</td>\n",
              "      <td>1045</td>\n",
              "      <td>6.531570</td>\n",
              "      <td>1769185</td>\n",
              "      <td>15922665</td>\n",
              "      <td>0.000007</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>109</td>\n",
              "      <td>11</td>\n",
              "      <td>1118</td>\n",
              "      <td>1171</td>\n",
              "      <td>7.568941</td>\n",
              "      <td>1309178</td>\n",
              "      <td>14400958</td>\n",
              "      <td>0.000008</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-dfdb3505-7c57-4deb-9910-f1bf891e75fd')\"\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-dfdb3505-7c57-4deb-9910-f1bf891e75fd 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-dfdb3505-7c57-4deb-9910-f1bf891e75fd');\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-421524a0-ceb2-4131-ac47-0a14e2375276\">\n",
              "      <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-421524a0-ceb2-4131-ac47-0a14e2375276')\"\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-421524a0-ceb2-4131-ac47-0a14e2375276 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",
              "variable_name": "df",
              "summary": "{\n  \"name\": \"df\",\n  \"rows\": 1400,\n  \"fields\": [\n    {\n      \"column\": \"A\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 5,\n        \"min\": 90,\n        \"max\": 110,\n        \"num_unique_values\": 21,\n        \"samples\": [\n          96,\n          107,\n          94\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"B\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 9,\n        \"max\": 11,\n        \"num_unique_values\": 3,\n        \"samples\": [\n          10,\n          11,\n          9\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"C\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 581,\n        \"min\": 1,\n        \"max\": 1999,\n        \"num_unique_values\": 1026,\n        \"samples\": [\n          1977,\n          1751,\n          544\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"D\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 569,\n        \"min\": 1,\n        \"max\": 2000,\n        \"num_unique_values\": 1006,\n        \"samples\": [\n          552,\n          515,\n          1459\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"E\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 2021.5864727242404,\n        \"min\": 2.355419495,\n        \"max\": 73038.07304,\n        \"num_unique_values\": 1400,\n        \"samples\": [\n          135.644093,\n          26.1922951,\n          4.122784295\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"CD\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 904239,\n        \"min\": 143,\n        \"max\": 3902468,\n        \"num_unique_values\": 1397,\n        \"samples\": [\n          137270,\n          1801047,\n          207088\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"BCD\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 9176316,\n        \"min\": 1287,\n        \"max\": 42927148,\n        \"num_unique_values\": 1398,\n        \"samples\": [\n          9436416,\n          6687369,\n          15051894\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"ABCD\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.0020215864726933455,\n        \"min\": 2.355419494869848e-06,\n        \"max\": 0.07303807303807304,\n        \"num_unique_values\": 1400,\n        \"samples\": [\n          0.0001356440929883548,\n          2.6192295099858127e-05,\n          4.122784295147794e-06\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 29
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "sns.pairplot(df[['ABCD','BCD','E']], kind='reg')  # regression"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 775
        },
        "id": "DAPil2merwqg",
        "outputId": "27ffde5b-5aa8-4d0c-b9ff-92dd37a26307"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<seaborn.axisgrid.PairGrid at 0x7a885fd691c0>"
            ]
          },
          "metadata": {},
          "execution_count": 30
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 750x750 with 12 Axes>"
            ],
            "image/png": 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lQ47DlYFQDgAA0AJs2VOpq55crL2VEUmSx2Vo5lWDNbRzG4crg0QoBwAASHk7y6o19qlFKg5WS5IMQ/rjmEE6t1eew5WhFqEcAAAghZVWRTTuqcX66ptKe99vRvfThQM7OFgVDkYoBwAASFGV4aiunrNE64rL7H0/O6+Xriw62cGq0BBCOQAAQAoKR01d/9xyLft6r73vx2d31X+f093BqnA4hHIAAIAUEzMt3fLSCn34+S573xXDCjXtvN4OVoUjIZQDAACkEMuydOdrq/T2qh32vvMHtNdvRveXYRgOVoYjIZQDAACkkN/OW6+/LN5ib5/ds53+eNkguV0E8kRGKAcAAEgRMz/YpFkLNtnbg09urZlXnSafh8iX6DzxeJHS0lK99957+uqrr2QYhrp06aKRI0cqOzs7Hi8PAACQ8p5f9LV+O2+dvd2nfbaenjBU6b64xD2coGb/V3ruued0ww03KBgM1tufk5OjWbNmacyYMc1dAgAAQEp789PtuvO11fZ257bpeubqYcpJ8zpYFY5Hs/4tY/ny5Zo4caJGjx6tTz75RFVVVaqsrNTSpUt14YUXauzYsfr000+bswQAAICU9n/rduqWl1bIsmq2C7IDenZSkdpl+Z0tDMelWUP5I488otGjR2vOnDkaOHCg/H6/AoGATjvtND3zzDO66KKL9NBDDzXquR977DF17txZgUBARUVFWrx48RHbv/zyy+rdu7cCgYD69++vv//974dte/3118swDD344IONqg0AACAelny1R5OfX6aoWZPIW6d79eykYSpsk+5wZThezRrK//Of/+jHP/7xYe+//vrr9e9///u4n/ell17S1KlTdffdd2v58uUaOHCgRo0apZ07dzbY/qOPPtIVV1yhSZMm6ZNPPtHo0aM1evRorV69+pC2r776qj7++GN16MClZwEAQOJava1UV89eouqIKUnK8Lk19+ph6pGf5XBlaIxmDeXbt29Xz549D3t/z549tW3btuN+3j/84Q+69tprNXHiRPXt21ezZs1Senq6nn766QbbP/TQQzrvvPN02223qU+fPvqf//kfnXbaaXr00Ufrtdu2bZtuvPFGPf/88/J6mYMFAAAS0xe7yjX+6cUqC0UlST6PS0+MH6IBHVs5WxgarVlDeWVlpQKBwGHv9/v9qq6uPq7nDIfDWrZsmUaOHGnvc7lcGjlypBYuXNjgYxYuXFivvSSNGjWqXnvTNDV27FjddtttOuWUU45aRygUUjAYrHcD0PToa0D80N+Sw/Z9VRr71GJ9UxGWJLldhv70o9N0erdchyvDiWj21Vfeffdd5eTkNHjfvn37jvv5du/erVgspvz8/Hr78/PztW7dugYfU1xc3GD74uJie/u3v/2tPB6PfvKTnxxTHTNmzNCvfvWr46wewPGirwHxQ39LfN+Uh3TVU4u0bV+Vve/3PxygkX3zj/AoJINmD+Xjx48/4v2JcLnXZcuW6aGHHtLy5cuPuZ7p06dr6tSp9nYwGFRhYWFzlQi0WPQ1IH7ob4ktWB3R+NmL9cWuCnvfLy/sqx+c2tHBqtBUmjWUm6bZ5M+Zm5srt9utkpKSevtLSkpUUFDQ4GMKCgqO2P5f//qXdu7cqU6dOtn3x2Ix3XrrrXrwwQf11VdfHfKcfr9ffj9LDQHNjb4GxA/9LXFVR2K6Zu5Srd52YErR1P/qqQlndHGwKjSlpLvmqs/n0+DBgzV//nx7n2mamj9/vkaMGNHgY0aMGFGvvSS99957dvuxY8dq5cqVWrFihX3r0KGDbrvtNr377rvN92YAAACOIhIz9d/PL9fiL/fY+yad2UU3fru7g1WhqTVrKF+2bJnOPffcBk8UKS0t1bnnntuoiwdNnTpVTzzxhObOnau1a9dq8uTJqqio0MSJEyVJ48aN0/Tp0+32N910k+bNm6cHHnhA69at0y9/+UstXbpUN9xwgySpbdu26tevX72b1+tVQUGBevXq1ch3DwAAcGJM09JPX/5U7687sOzzDwd31J3n90mIKcBoOs0ayh944AF9+9vfVnZ29iH35eTk6L/+67/0u9/97rifd8yYMfr973+vu+66S4MGDdKKFSs0b948+2TOzZs3a8eOHXb7008/XS+88IIef/xxDRw4UH/729/02muvqV+/fo1/cwAAAM3Isizd/cYavb5iu71v1Cn5mnFxfwJ5CjIsq/airE2vW7duevXVVzVgwIAG71+1apW+//3v64svvmiuEuImGAwqJydHpaWlDX4JAdA06GtA/NDfnPXAP9brkfc32ttndG+rp8YPVcDrdrAqNJdmHSnftm2bsrIOf1WpzMzMeiPaAAAAkJ781xf1AvmgwlZ6fOwQAnkKa9ZQ3q5dO61fv/6w969bt065uSx0DwAAUOuvS7boN2+vtbd75mdqzsShyvA3+0rWcFCzhvKRI0fqnnvuafA+y7J0zz33HHKlTQAAgJbqnVU7NO2VlfZ2pzbpenZSkVql+xysCvHQrF+57rzzTg0ePFhFRUW69dZb7ZVM1q1bpwceeECff/655syZ05wlAAAAJIV/bdilm15cIXP/2X55WX49N6lI+dkBZwtDXDRrKO/WrZv++c9/asKECbr88svtM4Uty1Lfvn313nvvqXt31tgEAAAt2/LNe3XdM8sUjtVceDEnzatnJxWpU9t0hytDvDT75KQhQ4Zo9erVWrFihTZs2CDLstSzZ08NGjSouV8aAAAg4a0rDmrC04tVFYlJktJ9bs2ZOFS9Cg6/WAZST9zOGBg0aJAdxMPhsMrLy5WZmRmvlwcAAEg4X39TobFPLVawOipJ8rldenzsEJ3aqbXDlSHemvVET0maPXu2brzxRj3//POSpDvuuENZWVn2xYO++eab5i4BAAAg4ZQEq3XVU4u0qywkSXIZ0sNXDNKZPViZriVq1lB+zz33aMqUKVq3bp1+8pOfaPLkyZo9e7Z+/etf67777tO6det05513NmcJAAAACWdvRVhXPblIW/ZU2fvuu2SAzuvX3sGq4KRmnb4yZ84cPfXUU7riiiu0dOlSFRUV6a9//asuueQSSVK/fv10/fXXN2cJAAAACaU8FNWEOUu0YWe5ve8XF/TVZUMKHawKTmvWkfLNmzfrzDPPlFRzwqfH41G/fv3s+wcMGMAVPQEAQItRHYnpumeW6tMt++x9N367uyad2cW5opAQmjWURyIR+f1+e9vn88nr9drbHo9HsVisOUsAAABICNGYqZ/85RN9tOnA+XTjR5ysqf/V08GqkCiaffWVzz77TMXFxZJq1idft26dystr/lyze/fu5n55AAAAx5mmpdv/d5X+8VmJvW/0oA66+8JT7Ou4oGVr9lD+ne98R5Zl2dsXXHBBvfv5RQQAAKnMsiz9z9uf6X+Xb7X3jeyTp9/9cKBcLnIQajRrKP/yyy+P2qasrKw5SwAAAHDUQ/M3aPZ/vrK3i7q00aM/Ok1ed7OvTI0k0qyh/OSTT25wf1lZmf7yl7/oqaee0tKlS5lXDgAAUtLs/3ypB/+5wd7uf1KOnhw/RAGv28GqkIji+hXtww8/1Pjx49W+fXv9/ve/17nnnquPP/44niUAAADExSvLt+pXb35mb3drl6G5Vw9TVsB7hEehpWr2OeXFxcX2euXBYFCXXXaZQqGQXnvtNfXt27e5Xx4AACDu/rGmWLf9baW9fVKrND13TZHaZPgcrAqJrFlHyi+88EL16tVLK1eu1IMPPqjt27frkUceac6XBAAAcNRHm3brhr98ophZs9BFbqZPz11TpPY5aQ5XhkTWrCPl77zzjn7yk59o8uTJ6tGjR3O+FAAAgONWbNmna+cuVThqSpKyAh7NvXqYuuRmOFwZEl2zjpT/+9//VllZmQYPHqyioiI9+uijrE0OAABS0oaSMk2YvVgV4ZoFLAJel2ZPGKpTOuQ4XBmSQbOG8uHDh+uJJ57Qjh079OMf/1gvvviiOnToINM09d5777EcIgAASAlb9lTqqqcWaV9lRJLkcRmaedVgDencxuHKkCzisvpKRkaGrr76av373//WqlWrdOutt+q+++5TXl6eLrrooniUAAAA0Cx2Bqt11VOLVBIMSZIMQ/rjmEE6t1eew5UhmcR91fpevXrp/vvv19atW/WXv/wl3i8PAADQZEorIxr39GJ9/U2lve+e0f114cAODlaFZOTYpaTcbrdGjx6tN954w6kSAAAAGq0yHNXEOYu1rvjAdNxp/6+3flTUycGqkKy4visAAMBxCkdN/fjZZVq+eZ+97/qzu+n6s7s5VxSSGqEcAADgOMRMSze/9In+teHAinJXDOuk28/r5WBVSHaEcgAAgGNkWZbueGWV/r6q2N53wYD2+s3ofjIMw8HKkOwI5QAAAMfAsizNeGedXlq6xd53ds92+sNlg+R2EchxYgjlAAAAx+BPH2zS4x9+YW8PObm1Zl01WD4PcQonjt8iAACAo3j246/1u3fX29t92mfrqQlDleZzO1gVUgmhHAAA4AheX7FNd72+2t7ukpuhZ64eppw0r4NVIdUQygEAAA7j/XUluvWvn8qyarbb5wT07KRhapfld7YwpBxCOQAAQAMWf7lHk59brqhZk8jbZPj07KQidWyd7nBlSEWEcgAAgIOs3laqSXOWKBQ1JUmZfo/mThym7nmZDleGVEUoBwAAqGPTrnKNf3qxykJRSZLf49JT44eof8cchytDKiOUAwAA7LdtX5XGPrlI31SEJUkel6E/XXmairq2dbgypDpCOQAAgKTd5SGNfXKRtpdWS5IMQ3rgsoH6Tp98hytDS0AoBwAALV6wOqLxTy/WF7sr7H2/uugUfX/QSQ5WhZaEUA4AAFq0qnBM18xZqjXbg/a+W/+rp8aN6OxcUWhxkjaUP/bYY+rcubMCgYCKioq0ePHiI7Z/+eWX1bt3bwUCAfXv319///vf7fsikYhuv/129e/fXxkZGerQoYPGjRun7du3N/fbAAAADorETE15YbkWf7XH3nfNmV10w7e7O1gVWqKkDOUvvfSSpk6dqrvvvlvLly/XwIEDNWrUKO3cubPB9h999JGuuOIKTZo0SZ988olGjx6t0aNHa/XqmqtzVVZWavny5frFL36h5cuX65VXXtH69et10UUXxfNtAQCAOIqZlm7966d6f92B/HDZkI76+fl9ZBiGg5WhJTIsq/YaVcmjqKhIQ4cO1aOPPipJMk1ThYWFuvHGGzVt2rRD2o8ZM0YVFRV666237H3Dhw/XoEGDNGvWrAZfY8mSJRo2bJi+/vprderU6ag1BYNB5eTkqLS0VNnZ2Y18ZwCOhr4GxE8q9zfLsnTna6v1/KLN9r7zTinQoz86VR53Uo5ZIskl3W9dOBzWsmXLNHLkSHufy+XSyJEjtXDhwgYfs3DhwnrtJWnUqFGHbS9JpaWlMgxDrVq1avD+UCikYDBY7wag6dHXgPhpSf3td++urxfIv9UjVw9dMYhADsck3W/e7t27FYvFlJ9ff3mi/Px8FRcXN/iY4uLi42pfXV2t22+/XVdcccVhRwZmzJihnJwc+1ZYWNiIdwPgaOhrQPy0lP72+Ieb9KcPNtnbp3ZqpVlXDZbf43awKrR0SRfKm1skEtFll10my7I0c+bMw7abPn26SktL7duWLVviWCXQctDXgPhpCf3txcWbde/f19nbvfKzNHvCUGX4PQ5WBUhJ9xuYm5srt9utkpKSevtLSkpUUFDQ4GMKCgqOqX1tIP/666/1/vvvH3H+nN/vl9/vb+S7AHCs6GtA/KR6f3t75Q5Nf3WVvd2pTbqenTRMrdJ9DlYF1Ei6kXKfz6fBgwdr/vz59j7TNDV//nyNGDGiwceMGDGiXntJeu+99+q1rw3kGzZs0D//+U+1bcvldAEASBULPt+lm1/6RLXLW+Rl+fXcpCLlZQecLQzYL+lGyiVp6tSpGj9+vIYMGaJhw4bpwQcfVEVFhSZOnChJGjdunE466STNmDFDknTTTTfp7LPP1gMPPKDzzz9fL774opYuXarHH39cUk0gv/TSS7V8+XK99dZbisVi9nzzNm3ayOfjGzQAAMlq2dd7dP2zyxSJ1STyVulePXdNkTq1TXe4MuCApAzlY8aM0a5du3TXXXepuLhYgwYN0rx58+yTOTdv3iyX68AfAU4//XS98MILuvPOO3XHHXeoR48eeu2119SvXz9J0rZt2/TGG29IkgYNGlTvtf7v//5P55xzTlzeFwAAaFprdwQ1cfYSVUVikqR0n1uzJwxVz/wshysD6kvKdcoTUSqv5QokEvoaED/J3t++2l2hS2ct1O7ykCTJ53Zp9sShOqN7rsOVAYdKujnlAAAAR1NcWq2rnlpkB3K3y9AjPzqVQI6ERSgHAAApZW9FWGOfWqSte6vsfb+9ZIBGndLwKm1AIiCUAwCAlFEeimrC7MXasLPc3veLC/rq0sEdHawKODpCOQAASAnVkZiunbtUn24ttffd9J0emnRmFwerAo4NoRwAACS9aMzUDS98ooVffGPvm3B6Z908soeDVQHHjlAOAACSmmla+tnfVuqfaw9cvfviU0/SXRf0lWEYDlYGHDtCOQAASFqWZenXb32mVz7ZZu8b2SdPv710gFwuAjmSB6EcAAAkrQf/uUFzPvrK3h7etY0e/dFp8rqJOEguSXlFTwA4HNO0tGZ7UHsqw2qT7tMpHbIZLQNSSN0+/u8Nu/TEv7607xvQMUdPjBuigNftYIVA4xDKAaSMjzbu1swFm7RpZ7kiMUtet6FueZmafHY3nc4FQ4CkV7ePl1VHVRaK2vd1z8vUnInDlBXwOlgh0Hj8bQdASvho427d8eoqrd0RVIbfo7wsvzL8Hq3dUaY7Xl2ljzbudrpEACegbh+3pHqB3O0ydPN3eqhNhs+5AoETRCgHkPRM09LMBZtUHoqqIDuggNctl8tQwOtWQbZf5aGYZi7YJNO0nC4VQCPU7eOZfo+KS6vt+zwuQ9kBr15auoU+jqRGKAeQ9NZsD2rTznK1TvcdsvyZYRhqle7Vpp3lWrM96FCFAE5EbR9P87q1eU+laqO3y5A652aobaaPPo6kx5xyAElvT2VYkZgl32FWW/C7XSo1Le2pDMe5MgBNYU9lWFXhmILVUdUOhhuG1LlthtK8bpmmRR9H0iOUA0h6bdJ98roNhWOm/C6XqsOmoqYpj8ulgM+lUMyU12WoTTrzTYFkUXeVlc+Ly1RaHTkQyCWd3CZdGf6aGEMfRyoglANIeqd0yFa3vEyt3LpP0ZilcMyUZdWMpPncLnnchgZ0bKVTOmQ7XSqAY1B3lZXqiKnSqrDqThcvbJNur7JiWZb2VUbUp30WfRxJjTnlAJKey2XorB65qgjFVBmOSZJqZ7JUhmOqCMV0Vo9c1isHkkDdVVYCXrcqwlHF6gTyNK9LPo9LpmmpKhJTcTCkTL9bk8/uRh9HUiOUA0h6pmnpww27le5zK91Xc9GQmFlzX80+jz7csJuVGYAEV3eVlXaZfu0orVYoatr3+z0u+b1uVYai2lkeUmUoqj7ts3TvD/pzLQIkPaavAEh6tSsz5GcH5Pe4VB2pM6fc61J11LRXZujfMcfpcgEcRm1fzknzasveKlVFYvZ97TL9ykn3qqI6ottG9VabTB9X7UVKIZQDSHp1V18xDENpPrekA5fZZvUVIDnsqQwrHDVVHoqqvM7Fgdpk+JSf7ZdlSaWW1CbTp7N7tnOwUqDpEcoBJL16q68Yh46UszIDkLjqrrLyTVlIFeGoqiIHpqzkpHnVIScgwzBUHY3Rl5GyCOUAkl7t6iufbilVzDQPWX3F7XJpYGEOKzMACabuKivhqKmqSKxeIM/ye1TYOk2GYbDKClIeJ3oCSHq1q69UhqMNrr5SGY6y+gqQYOquspLh98hlGKoIH5hD7jYMtds/ZYVVVtASEMoBJL3a1Vcy/A2vvpLhd7P6CpBA6q6yUpAdUMX+1VRquQwpM+BWFausoAVh+gqApFe7YkNeVkB+76FX9KyOsPoKkEhq+2zrdJ9KqyLaXlpt3+fzuNShVUDhiMkqK2hRCOUAkl691VfE6itAoqvts6FITFv2Vtn7vW5DXdpmyOMyVBEKscoKWhRCOYCkV2/1FdehI+WsvgI4r+4qK3vKwzItq14gd7tqArnP41JVhFVW0PIQygEkvdrVV1Zu3adozDpk9RWP29CAjq1YsQFwSN1VViIxS5Zl6puKiH2/y5C6tM2Q3+tmlRW0WJzoCSDp1a6+UhGKNbj6SkUoxuorgEMOXmUlJ82jvZWRem3a56TJv3+EnFVW0FIRygEkvdrVV9J9Da++ku7zsPoK4ICDV1lxGYa+3lOpWJ2umOGvGR1nlRW0dExfAZD0aldyyM8OyO859Iqe1VFWXwGcUHeVlZhp6cvdFYrUSeT52X65JFZZAUQoB5AC6q6+ooOP5QarrwBOME1Ly7/eq4pwTD63S1vKqhWOHbhaZ4ecgFqn+7SznFVWAIlQDiAF1K6+sq8qotKqiELRmH2ip9/jVk6al5UcgDiqPbFz7Y6ggvv7ZV352X61zfSzygpQB6EcQNI7pUO22mb6tGZ7UJZVs5KDJcmwpIpQVJXhqE7pkM1KDkAcfLC+RDe/uEJV4ZjSvC4ZhmTVmUOek+ZVu0w/q6wAByGUA0gZtedxxg46n9Pi/E4gLqb97VO9uHSrvR2Kxerdb0iKRGOqjsa0rzLKKitAHYRyAEmv9mSyI+FET6B5XfTwAq3cfvh+aKjmr1jVUVOllTWrrEw+uxurrAD7EcoBJL2SYJUqI+YR21RGTJUEq9RfhHKgqV300IdauePIX4wtSR1bB7SvKqYp3+6uccNPZoQcqIN1ygEkvX9+VtKk7QAcu+H3/EMrd5QdU9tgdUwZPrcGd2pNIAcOwkg5gKS3/Os9TdoOwLHpPu1tRY+jfXkoqn4n5XBiJ9AAQjmApPdNxbGtP/75rkp1nvZ2M1cTH27V/KkzcrSGTcQlyb1/VRvLkmIH3W9I8hiSzyNFY1LElHweQzkBj9pn+7W7IqTyUEzlYVOmKdWdbOQxpDSXFFbNlVjTfC61zfDJ43bL75J8Xrf8Xrf8HmnF5qAqwjEZhuRzGcoMuNU63atgKKZQ1FJOwKN0v8c+u7d2aUzJUGaaV/lZfvXrkKXPS8r17417VBWNqkubdF0ytKOqw6Y+21amgM+lvCy/stO8MgxDmX6PyqojKgmGlJvp1Rc7K7QjWK2y6ohyM/3q2CpNlZGYQjFLndtk6Pqzusq3/8qydZmmpTXbg9pTGT7kIjnRqKk3V+7Qtn2VOqlVui4c0F4eT2L/MbsxfcnndnFiJ3AYhmUl57oEjz32mH73u9+puLhYAwcO1COPPKJhw4Ydtv3LL7+sX/ziF/rqq6/Uo0cP/fa3v9X3vvc9+37LsnT33XfriSee0L59+3TGGWdo5syZ6tGjxzHVEwwGlZOTo9LSUmVnMwIANJeG+lq/u95RefjIc8qBePG4DI0Z0lH3XDzA3le7bvemneWKxCx53Ya65WVq8tndtGZ7qR77YJPKqiIyVfMFKCvNqynndNO1Z3Vz7H1Ihz+2NfbL7d0X9tHEM7o2VXlASknsr+GH8dJLL2nq1Km6++67tXz5cg0cOFCjRo3Szp07G2z/0Ucf6YorrtCkSZP0ySefaPTo0Ro9erRWr15tt7n//vv18MMPa9asWVq0aJEyMjI0atQoVVdXx+ttAWgkjzspP8qQoqKmpecXb9HPX1kpqSaQ3/HqKq3dEVSG36O8LL8y/B6t3VGmKS8s133vrFNpZUQulyGf25DLZai0MqLfzluvJz7c5PC7OVRjA3leplfjR3Rp4mqA1JGUI+VFRUUaOnSoHn30UUmSaZoqLCzUjTfeqGnTph3SfsyYMaqoqNBbb71l7xs+fLgGDRqkWbNmybIsdejQQbfeeqt++tOfSpJKS0uVn5+vOXPm6PLLLz9qTYyUA/HRUF/7waP/0idbgw5XBtTncRlafdd3de3zy7R2R1AF2QEZxoFpGzEzprU7ymVJ8nsMuYwDXy5Ny1Q4aikn3auld4x0bCrLwf2tsYHckPT8NUUsfwgcQdINL4XDYS1btkwjR46097lcLo0cOVILFy5s8DELFy6s116SRo0aZbf/8ssvVVxcXK9NTk6OioqKDvucoVBIwWCw3g1A0zuWvjb9e30cqAw4sqhp6foXlmvNtlL5PS5VhGMqD0VVsf+2qyyi2lEx05JMy7JvLsMlj9tQWVVEb67cEbeam+PY5pL07KRhBHLgKJIulO/evVuxWEz5+fn19ufn56u4uLjBxxQXFx+xfe1/j+c5Z8yYoZycHPtWWFjYqPcD4MiOpa8N6dzWgcqAo/vg813aUxnRtn3V+nJ3hb7cXaEv9t92lYfsdpGYpVDUtG9SzYV2LEnb9lXGrd7mOLY9M2mYzuzRrgmqA1Jb0oXyRDF9+nSVlpbaty1btjhdEpCSjqWvsZIDUpFp1Uz7OKlVetxes6mPbY+MGUAgB45R0i2JmJubK7fbrZKS+hcBKSkpUUFBQYOPKSgoOGL72v+WlJSoffv29doMGjSowef0+/3y+/2NfRsAjtGx9rWPbz9bw3+7IA4VAceuS9sM7QhWKRw15d7/5bH2TC7LshQ7zFldpmUqGquZU37hgPYNN2oGTX1su/BU/ooMHKukGyn3+XwaPHiw5s+fb+8zTVPz58/XiBEjGnzMiBEj6rWXpPfee89u36VLFxUUFNRrEwwGtWjRosM+J4DEUtA6U96k+0RDKrtyWKH+77Zz9PT4oerUJl05aT6d3DZDvfKz1Dk3Q60z/Gqd7pXbqBkR97oN+T2GvG5D4aglt8vQlHO6JdR65V/dd36ztAWQhKFckqZOnaonnnhCc+fO1dq1azV58mRVVFRo4sSJkqRx48Zp+vTpdvubbrpJ8+bN0wMPPKB169bpl7/8pZYuXaobbrhBkmQYhm6++Wb95je/0RtvvKFVq1Zp3Lhx6tChg0aPHu3EWwTQCBvuPZ9gDsd5XIauHFZor1N+evdc3fuD/urTPkuVoah2lodUGYqqT/ssPfaj0zTt//VWTrpXpmkpErNkmjUj5Lef18vxdcobcixhm0AOHL+km74i1SxxuGvXLt11110qLi7WoEGDNG/ePPtEzc2bN8vlOnBkPv300/XCCy/ozjvv1B133KEePXrotddeU79+/ew2P/vZz1RRUaHrrrtO+/bt05lnnql58+YpEAjE/f0BaLwN956v4r3lKT+VhSt6JtcVPU/vnqvhXds2eEXP07vnauLpXZLqip5f3Xd+g8sj/ld76YmbCORAYyTlOuWJiHXKgfigrwHxQ38D4idxv4YDAAAALQShHAAAAHAYoRwAAABwGKE8zi5/fKHTJQAAACDBJOXqK4mo9nzZYDB4xHaxaOyobYBklZWVJcNo3qtrHmtfA1JZPPqaRH8D4tXXJFZfaTJbt25VYSFXLkPLFo8VGuhrQHz6mkR/A+K58hChvImYpqnt27cf8RtVMBhUYWGhtmzZ0iKWlmpJ77clvVfp8O83HiMK9LX44GfYNJrr5xiv0buj9beW9nvC+01dTh7XajF9pYm4XC517NjxmNpmZ2en/C93XS3p/bak9yo5837pa/HFz7BpJOvP8Vj7W7K+v8bi/aYuJ98rJ3oCAAAADiOUAwAAAA4jlMeR3+/X3XffLb/f73QpcdGS3m9Leq9S4r/fRK8vGfAzbBqp/nNM9fd3MN5v6kqE98qJngAAAIDDGCkHAAAAHEYoBwAAABxGKAcAAAAcRigHAAAAHEYoBwAAABxGKAcAAAAcRihvBh9++KEuvPBCdejQQYZh6LXXXjvu53j33Xc1fPhwZWVlqV27drrkkkv01VdfNXmtAAAAcB6hvBlUVFRo4MCBeuyxxxr1+C+//FLf//739e1vf1srVqzQu+++q927d+viiy9u4koBAACQCLh4UDMzDEOvvvqqRo8ebe8LhUL6+c9/rr/85S/at2+f+vXrp9/+9rc655xzJEl/+9vfdMUVVygUCsnlqvne9Oabb+r73/++QqGQvF6vA+8EAAAAzYWRcgfccMMNWrhwoV588UWtXLlSP/zhD3Xeeedpw4YNkqTBgwfL5XJp9uzZisViKi0t1bPPPquRI0cSyAEAAFIQI+XN7OCR8s2bN6tr167avHmzOnToYLcbOXKkhg0bpnvvvVeStGDBAl122WX65ptvFIvFNGLECP39739Xq1atHHgXAAAAaE6MlMfZqlWrFIvF1LNnT2VmZtq3BQsWaNOmTZKk4uJiXXvttRo/fryWLFmiBQsWyOfz6dJLLxXfoQAAAFKPx+kCWpry8nK53W4tW7ZMbre73n2ZmZmSpMcee0w5OTm6//777fuee+45FRYWatGiRRo+fHhcawYAAEDzIpTH2amnnqpYLKadO3fqW9/6VoNtKisr7RM8a9UGeNM0m71GAAAAxBfTV5pBeXm5VqxYoRUrVkiqWeJwxYoV2rx5s3r27Kkrr7xS48aN0yuvvKIvv/xSixcv1owZM/T2229Lks4//3wtWbJEv/71r7VhwwYtX75cEydO1Mknn6xTTz3VwXcGAACA5sCJns3ggw8+0LnnnnvI/vHjx2vOnDmKRCL6zW9+o2eeeUbbtm1Tbm6uhg8frl/96lfq37+/JOnFF1/U/fffr88//1zp6ekaMWKEfvvb36p3797xfjsAAABoZoRyAAAAwGFMXwEAAAAcRigHAAAAHEYobyKWZSkYDLKOONDM6GtA/NDfgPghlDeRsrIy5eTkqKyszOlSgJRGXwPih/4GxA+hHAAAAHAYoRwAAABwGKEcAAAAcJjH6QJaimjU1Jsrd2jbvkqd1CpdFw5oL4+H70QAgOTEcQ1oWoTyOHjiw0167P82KVgdkWVJhiH96s01mnJuN117VjenywMA4LhwXAOaHqG8mT3x4Sbd9846xeqsJmVZ0r6qiO57Z50k8QEGAEgaHNeA5sHfmZpRNGrqofkb6n1w1RWzpIfmb1A0asa3MAAAGoHjGtB8COXN6PVPt6s8FDtim/JQTK9/uj1OFQEA0Hgc14DmQyhvRh9vLG7SdgAAOInjGtB8COXNaN5nu5u0HQAATuK4BjQfQnkzKjvKn/iOtx0AAE7iuAY0H0I5AAAA4DBCOQAAAOAwQjkAAADgMEI5AAAA4DBCOQAAAOAwQjkAAADgMEI5AAAA4DBCOQAAAOAwQjkAAADgMI/TBaBGj5//Xa3TfWqfE1B2mldZAY+y/F5lBjzKCniU6fcoO1Cznemv2ZcV8Nr3pfvcMgzD6bcBAIAkqev0t5Xuc6tT63RlpXmVFfAqu/aYFvAo07//WGcf5+ps+73K8LvlcTN2iJaDUH6Qxx57TL/73e9UXFysgQMH6pFHHtGwYcOa/XUjMUs7y0LaWRZq1OPdLkNpXrcCXpcy/R7lZvqVneZVpt+jSMyUyzDUJsOnbu0y7P21ob424Gf6PfJ5+ADEAaZpac32oPZUhtUm3adTOmTL5eLLH4CjMy2pPBTTZ8VljX6OgNelgNetLL9HbTP99kBUNGbJ5ZLapPvUtV2mstMODvkMWuHwEvXYRiiv46WXXtLUqVM1a9YsFRUV6cEHH9SoUaO0fv165eXlOV3eEcVMS+WhqMpD0u7ysL76prJRz+P31IT6DH/d0Yv9oT1QM1qfvX+Uo/ZDL3v/CIc9qu/zJMQvN07MRxt3a+aCTdq0s1yRmCWv21C3vExNPrubTu+e63R5AFqA6oip6oipfZURbdlb1ajncLsMZfjdyvR7Dh2Q8nuUuf+4VjtgdXCb2m0GrVJDIh/bDMuyLEcrSCBFRUUaOnSoHn30UUmSaZoqLCzUjTfeqGnTph3xscFgUDk5OSotLVV2drYkqfO0t0+oHkNSms8tQzUfTDHLksuQXIYh07JkJvC/XLrPbYf7uiE/w+fePyrvrhfkD4ze75+m4/cozeeSy3DJZUiGYdj/RfP7aONu3fHqKpWHomqd7pPP7VI4ZmpvZUSZfrfu/UF/xz68GuprAJrHwf3tRI9rkpThd0vWocc1SzUjmIl6aPN7XMrwuZWxf/Cpdjpphv/AX5szA277GGYfzwIH/j/L75Hb7ZIhMXjlgEQ+tkmMlNvC4bCWLVum6dOn2/tcLpdGjhyphQsXOleYJbVvHdC2vVWqiljye1zq2DpNhgyZlqmte6tUHbXk9xjKy/LLsqSYZWl3eViRmCWPy1BmwCPLrAnxMctSKGrK6zaUFfCqMhRVZTjW5B+CleGYKsMxqZHTcaT9oxs+tzL2//mx9r+ZdYL+gf/Whny3/SfM2g9Mr9sll2HIkGQYkiFDhkv7t/eHfRk199X9f9UcKIwW9mXANC3NXLBJ5aGoCrID9nsPuNwqyHapOBjSzAWbNLxrWw4qAI6bZUodDnNcs2Rpy55K+7iWn+WXadUc73bVOa5lBTwyrZrPK7P2uOZxqVWaV1XhmMpDUUWbeOQqFDUVipraUxk5oedJ97ntY1qGz6MMv9s+ntUc0+ofz2oDvv0XbL9HaV63XC6D49lxSIZjG6F8v927dysWiyk/P7/e/vz8fK1bt+6Q9qFQSKHQgcAZDAabvCbDkMKxmMqqoorETHlcUiRmKhSxFPAaCkelqGnJ46qZvmLIpTSfS9URU5ZVs1+ylO33KuA98Ge36qip6nBUv76on3oWZMq0LFXtD9Hloagqw1FVhGKqDEdVHoqpot6+mCrCUVWEarYrwjWhviIUVShqNun7j5mWgtVRBaujJ/Q8fo9r/4efW+n7/1v7YZjudytz/3/rfjge/IEZ8LrldrnqfeBJ2v+heODDz2VIqvP/Rt0vA8aBD8cjfXi6DnpMvK3ZHtSmneVqne475PUNw1CrdK827SzXmu1B9e+Y0+z1xKOvAagRj/52pONaKGLVO65JLqX7XKqOGPWOa1mHOa7dfcEp6lmQWfM6UdM+XtUe3yrqHtPCMfu+itCB7br7mnPQand5uNHPUXfQqvZYVjtolV57LDvCMS3D71WW3y2v233gGLT/2OOqc6xSvWPSgeOW9j+m7vHKtf94YTRwDEyEAZxEO7Y1hFDeSDNmzNCvfvWrZn0NlyFZlhQ1TVmW5HJJpinFLFOSSzHr+PbX8rkNlVmWSqvD+1/HqOmsfo/aZfkbXW80Zh4S1CvqBPyKUG3or39fVZ2gXx6KNvm0nJrRjbD2VDT+OVxGzVSimg+0uh9w7iMH/oM+DBszJ/HgAF+zr+4HZ/0vA4eMihw0knK0D9DdFSFFYpZ8h1n1wO92qdS0tKey8QeU4xGPvgagRnP3N5fic1yTJJ/HJZ/Hp9bpvkbXe6RBq9rjXe0gVb1Bq4MCf6IPWh16TDvyoFW678CofsDrto8nR3K440+9Y9VRBqlOZGBrT2U4oY5tDSGU75ebmyu3262SkpJ6+0tKSlRQUHBI++nTp2vq1Kn2djAYVGFhYZPWVPPLZMnjcsnYH9ANQ3IbNb9QbuP49tcKxyx5DUM5gcZ/UDXE43YpJ92lnHRvo5/D2v9nyAOjGvtHLSKx+iMc9ofhgYBfWWdfVSTWhO+sZhWBmtc6sSk5XrdRZ1SjZtpNzXZDAf/AaEe6v859Po/czTjqEAqbMlRz4rB//0hU7RQgSQrFTHldhtqcwIHueMSjrwGocbT+5pJ0IvHS7ZIsKWmOa006aBWuE+YbGLSqexwrD9W/rzKcCoNW9Y9pTTFodSxqA3w4YsowLFWEo/J73HK7jHrH0ngf2xpCKN/P5/Np8ODBmj9/vkaPHi2p5kTP+fPn64Ybbjikvd/vl99/5A761X3nN/qkGJdq5j/5PW5lpXkUrI6oKmIqzeuS31vzS+T3GvK6Xce8X5IsWSqrjqhru0x1z89oVG3NyTAMBbw137zbZDS+Y8RMq94I/IERjFiDQf/gD8faD8BIrGk/ASMxS/uqItpXdWJzEgPemtGNuqMY9UYz9gf9zP0fhvaJt3XaBbyuBqfHdM/PUGHbDH2xq1y5Hl/Nnyr3syxL+yoj6tM+S6d0iM9JlsfS1wA0jaP1ty9O4Lgm1QxwtLTjmrR/0CrNpZy0phu0amiA6uB9lXVG7ivr/CW7KTXloFXt1JvaQav0/UH/4PPLMux2bvtL0+EGrSzLUsySurRLV2Gb/ce2TEMuy6X9k3QcObY1hFBex9SpUzV+/HgNGTJEw4YN04MPPqiKigpNnDix0c/ZmGBuqGYkwi2pVYZX4agll+GS2zDldhkKRS353DUjA26XIbchuQxXvf2Ha19WHVG6z60fDSs8pj83JSv3/hNcMwMn9isejpqH/Jmy7vzDuqMe5aGoqiK1of/AVJ3KcNOPbtQsExbWN2r8n9lchhoc1Uj3eeRzG4rETG3ZW6U0r1tpXrdkSOGopUy/W5PP7pYQcwQBxN+JDDhJHNcaq6kGrUzLOnAcO2jQqvZcsiON6DfnoFVpVUSlTTRolVEn4Gfsn4qT4XMralraurdK6X6P0jxueT0ulVVHE+LYxpKIB3n00UftiwcNGjRIDz/8sIqKio76uKMt03a4DzC/S/J6XLIsU26XS163W7H93+rcRs1cYK9hqLBthoae3FpLvt6rLd9UKGJZjd7/o2GFOrVT6xP+WeHYWJal6kjDJxzVHcU4bODf36Y60rRzEo+X121oeNe2jq/lypKIQPwcqb91nfZ2g1NZ0j01q5eFIqbc+6fsmbIUNTmupZJw1KxZ6caeV3+kY9ihx7vafU4v79wu06fe7bMdP7ZJhPImc6JBoe7VpVqnedUqzavPdpSptDqsnIBP3fMz7PXJN5ZUnPB+JJ+YaR00qtHwqgGHW1Ggdruxy4QNOClHr005w/ERckI5ED8n0t8OvmriSTkBLf5qL8c12I5l0OqQ6acHz80PRVV9AifSPjFuiL7TO8/xY5vE9JWE4XIZ9ZbgMU1LHo9L1QedsOgyDHu5pxPZj+TjdhnKTvMq+wTnJIaj5v759Me+TFgkZmpgx1YJ8aEFIDkcfFyTpBHd2uqbivrzjjmutVyGYSjN51aaz63czMafOxQzrSNONW1o0CoUNVUdiWlYlzYJc2wjlCcol8tQQXZAxcHqQ4I50FiGYcjvdcvvdR/XMmEntU6T3+NuxsoAtAS1q3MdHMyBE+F21VwQMStw7INW2WneE/oi0ByaZ/0ZNInaYO73EoYAAKkhJ92rthmJFYaAREAoT3Aul6H2BHMAQAohmAOHIpQnAYI5ACDVEMyB+gjlSaI2mDfXFa8AAIg3gjlwAAkvibhchtrnpBHMAQApIyfde0IXwwFSBekuybgJ5gCAFNMq3UcwR4tHsktCBHMAQKohmKOlI9UlKYI5ACDVEMzRkpHoklhtMPe6+WcEAKQGgjlaKtJcknO7DHVoRTAHAKSOVum+47rqMJAKSHIpoGbEPEAwBwCkjNYZBHO0LKS4FOFxuwjmAICUQjBHS0KCSyEEcwBAqiGYo6UgvaUYgjkAINW0zvCpFcEcKY7kloII5gCAVNOGYI4UR2pLUR63SwUEcwBACiGYI5WR2FKYd38w97j4ZwYApAaCOVIVaS3Fed0utW9FMAcApA6COVIRSa0FIJgDAFJNmwyfctK8TpcBNBlSWgtBMAcApJq2mX6COVIGCa0FYY45ACDVEMyRKkhnLYzPUxPM3S7D6VIAAGgSBHOkAkJ5C+TzuNQ+J41gDgBIGQRzJDtCeQtFMAcApBqCOZIZobwFYyoLACDVtM30K5tgjiREKG/h/B43wRwAkFJyCeZIQoRyEMwBACmHYI5kQyiXdM899+j0009Xenq6WrVq5XQ5jiCYAwBSDcEcyYRQLikcDuuHP/yhJk+e7HQpjvJ73MrPDshlEMwBAKkhN9OvrADBHInP43QBieBXv/qVJGnOnDnOFpIAAt6aEfPi0mqZluV0OQAAnLB2WX5JUll1xOFKgMNjpByHqA3mjJgDAFJFuyxGzJHYGClvpFAopFAoZG8Hg0EHq2l6jJgjUaR6XwMSSar3N0bMkchSdqR82rRpMgzjiLd169Y1+vlnzJihnJwc+1ZYWNiE1ScGRsyRCFpCXwMSRUvob4yYI1EZlpWaw6C7du3SN998c8Q2Xbt2lc/ns7fnzJmjm2++Wfv27Tvq8zc0mlBYWKjS0lJlZ2c3uu5EVB2JMWLewp3UOk1+j9uR125JfQ1wWkvqb7vKQoyYt2DZaV7lZvqdLqOelJ2+0q5dO7Vr167Znt/v98vvT6x/zOZSO2K+o7RaKfodDgmsJfU1wGktqb+1y/LLkqXy6qjTpQCSUjiUH4/Nmzdrz5492rx5s2KxmFasWCFJ6t69uzIzM50tLkEEvG4VZAdUHCSYAwBSQ15WQFI1wRwJgVAu6a677tLcuXPt7VNPPVWS9H//938655xzHKoq8aT5COYAgNRCMEeiSNkTPY/HnDlzZFnWITcC+aHSfG7lZ/tlcPInACBF5GUFlBlgnBLOIpTjuKX7PARzAEBKIZjDaYRyNArBHACQagjmcBKhHI1GMAcApJq8rIAy/QRzxB+hHCck3edRXhbBHACQOvKyCeaIP0I5TliGn2AOAEgtBHPEG6EcTYJgjkTTqUtXeby+o946denqdKkAEhTBHPHEbxqaTIbfo3aSdgarnS4F0PatW3XpYwuO2u5vU86OQzUAklW7rJornJaHWMcczYuRcjSpTL9HedkBp8sAAKBJGIahdll+RszR7AjlaHKZfo89sgAAQLIjmCMeCOVoFlkBL8EcAJAyaoN5BsEczYRQjmZDMAcApBLDMJRHMEczIZSjWWUFvMolmAMAUgTBHM2FUI5ml00wBwCkEII5mgOhHHFBMAcApJLaYJ7uI5ijaRDKETcEcwBAKjEMQ/nZBHM0DUI54io74FXbTII5ACA1EMzRVAjliLucNII5ACB1EMzRFAjlcEROmldtMwjmAIDUQDDHiSKUwzE56QRzAEDqIJjjRBDK4aicdK/aZPicLgMAgCZBMEdjJVwor6io0F133aV+/fopMzNTWVlZGjBggH7961+rsrLS6fLQDFql+wjmAICUURvM03xup0tBEkmor3HhcFhnn322Vq9erf/3//6fLrzwQlmWpbVr1+qee+7RO++8ow8//FBer9fpUtHEWqXXhPI9FWGHKwEA4MQZhqGC7ICKg9WqCsecLgdJIKFC+cyZM7V161Z9+umn6tWrV7371q1bp3POOUezZs3SjTfe6FCFaE6t0n2yLGlvJcEcAJD8COY4Hgk1feWVV17RL37xi0MCuST17t1bP//5z/W3v/3NgcoQL60zfPaoOQAAya42mDOVBUeTUKH8s88+0znnnHPY+88991x99tln8SsIjmhDMAcApBCCOY5FQoXyffv2qW3btoe9v23btiotLY1jRXAKwRwAkEoI5jiahArlpmnK7T78L6vL5VIsxpyslqJNhk85aZzUCwBIDQRzHElCnehpWZa+853vyONpuKxoNBrniuC0tpk1FxcqrYo4XAkAACeuNpjvKK1WdYSBRhyQUKH87rvvPmqbSy65JA6VIJEQzAEAqaTuqiwEc9RKulDeHL766iv9z//8j95//30VFxerQ4cOuuqqq/Tzn/9cPh/zmhNB20y/LElBgjkAIAW4XARz1JdQc8qrq6v1xhtvqKys7JD7gsGg3njjDYVCoSZ/3XXr1sk0Tf35z3/WmjVr9Mc//lGzZs3SHXfc0eSvhcbLzfQrmznmAIAUURvMA17mmCPBRsr//Oc/64033tBFF110yH3Z2dl6+OGHtXnzZt1www1N+rrnnXeezjvvPHu7a9euWr9+vWbOnKnf//73TfpaODG5mX5ZllRWzYg5ACD5MWKOWgk1Uv7888/r5ptvPuz9N998s5555pm41FJaWqo2bdrE5bVwfNpl+ZUVYMQcAJAaGDGHlGAj5Rs2bNDAgQMPe/+AAQO0YcOGZq9j48aNeuSRR444Sh4KhepNpQkGg81eFw5ol1Vz8icj5qmPvgbED/3NOYyYI6FGyqPRqHbt2nXY+3ft2nVcyyJOmzZNhmEc8bZu3bp6j9m2bZvOO+88/fCHP9S111572OeeMWOGcnJy7FthYeEx14Wm0S7Lr8xAQn2vRDOgrwHxQ39zVm0w9zNi3iIZlmVZThdRa/jw4frBD36g22+/vcH7Z8yYoddff10ff/zxMT3frl279M033xyxTdeuXe0VVrZv365zzjlHw4cP15w5c+RyHf47S0OjCYWFhSotLVV2dvYx1YemsbOsWuXVrGHfnE5qnSa/x5mDRGP7msfr06WPLTjq8/9tytmKRsJNUiuQ7Di2JQbTtLQjWK0QI+bNJjvNq9z9Sy4nioQaZrz66qs1depUnXLKKbrgggvq3ffmm2/qnnvu0R/+8Idjfr527dqpXbt2x9R227ZtOvfcczV48GDNnj37iIFckvx+v/z+xPrHbKnysgKSCOapir4GxA/9LTG4XIbaZwcI5i1MQoXy6667Th9++KEuuugi9e7dW7169ZJUs2Th+vXrNWbMGF133XVN/rrbtm3TOeeco5NPPlm///3v602hKSgoaPLXQ9PLywpIVrXKQwRzAEDyI5i3PAkVyiXpueee00UXXaTnn39en3/+uSzLUq9evfSrX/1Kl112WbO85nvvvaeNGzdq48aN6tixY737Emh2D44iLzsgBQnmAIDUQDBvWRLqRM9a3/nOd/T6669rzZo1mjdvngYMGKAlS5boX//6V7O83oQJE2RZVoM3JJd2WX5l+hPuuyYAAI1SG8w5+TP1JVQoX7VqlTp37qy8vDz17t1bK1as0LBhw/THP/5Rjz/+uM4991y99tprTpeJBGYYhtpl+ZVBMAcApAiCecuQUKH8Zz/7mfr3768PP/xQ55xzji644AJ973vfU2lpqfbu3asf//jHuu+++5wuEwnOMAzlEcwBACmkdrlEnyehohuaUEKlliVLluj999/XgAEDNHDgQD3++OOaMmWKvRLKjTfeqOHDhztcJZJBbTAvsaTKMHPMAQDJz+0y1D4nTTtKqxSOmk6XgyaWUF+39uzZY692kpmZqYyMDLVu3dq+v3Xr1iorK3OqPCQZwzCUn+1Xui+hvnsCANBotcGcEfPUk3D/ooZhHHEbOB4EcwBAqiGYp6aESyoTJkywL1xQXV2t66+/XhkZGZJU7ypjwLGqDeYlQaayAABSA1NZUk9ChfLx48fX277qqqsOaTNu3Lh4lYMUUhvMi4OWqsKs9QoASH4E89SSUKF89uzZTpeAFGYYNWeuFwerCeYAgJRAME8dTEZCi1IbzNN8rPUKAEgNzDFPDfzrocWpDeYBLsIAAEgRBPPkx78cWiSCOQAg1dQGc6+beJeM+FdDi1V7dTSCOQAgVbhdhjq0IpgnI/7F0KLVBnM/wRwAkCII5smJfy20eC6XofYEcwBACqmZyhIgmCcR/qUAEcwBAKnH43YRzJMI/0rAfgRzAECqIZgnD/6FgDpq55izpFTLYVqSx+s74q1Tl65OlwkAjUYwTw4JdUVPIBFwdbSWxTKjunTWf47Y5m9Tzo5TNQDQPGqD+Y7SakViHNsSEV+ZgAZwEQYAQKphxDyx8a8CHAbBHACQagjmiYt/EeAIuDoaACDVEMwTE/8awFFwEQYAQKohmCce/iWAY8BFGAAAqYZgnlj4VwCOER9eAIBUw7EtcfAvABwHPrwAAKnG43apgGOb4/jpA8eJYA4ASDVegrnj+MkDjUAwBwCkGoK5s/ipA43En/sAAKmmNph7XBzb4o2fOHAC+PACAKQar9ul9q04tsUbP23gBPHhBQBINRzb4o+f9H4XXXSROnXqpEAgoPbt22vs2LHavn2702UhSfDhldpMS/J4fUe9derS1elSAaDJcGyLL4/TBSSKc889V3fccYfat2+vbdu26ac//akuvfRSffTRR06XhiRR++G1Y1+1oqbpdDloQpYZ1aWz/nPUdn+bcnYcqgGA+OHYFj+E8v1uueUW+/9PPvlkTZs2TaNHj1YkEpHX63WwMiST2jnmxaV8eAEAUgPBPD4I5Q3Ys2ePnn/+eZ1++umHDeShUEihUMjeDgaD8SoPCc7nqQnmO0qrFDMtp8tJevQ1IH7obzgcBp2aH5OE6rj99tuVkZGhtm3bavPmzXr99dcP23bGjBnKycmxb4WFhXGsFInO53GpfU6a3C7D6VKSHn0NiB/6G46kdtCJOebNI6V/qtOmTZNhGEe8rVu3zm5/22236ZNPPtE//vEPud1ujRs3TpbV8Ejn9OnTVVpaat+2bNkSr7eFJEEwbxr0NSB+6G84GoJ580np6Su33nqrJkyYcMQ2XbseWC0hNzdXubm56tmzp/r06aPCwkJ9/PHHGjFixCGP8/v98vv9TV0yUkzth1dxaTVTWRqJvgbED/0Nx6LusY2pLE0npUN5u3bt1K5du0Y91tz/S1Z3bh3QGH6Pm2AOAEgpnD/V9FI6lB+rRYsWacmSJTrzzDPVunVrbdq0Sb/4xS/UrVu3BkfJgeNFMAcApJraaZoE86bBhCBJ6enpeuWVV/Sd73xHvXr10qRJkzRgwAAtWLCAP+OhydQGc+aYAwBSBedPNR1GyiX1799f77//vtNloAXwe9zKz64ZMTcPcxIxAADJhBHzpsFIORBnAW/NiLnLYFQBAJAaGDE/cYRywAEEcwBAqqk9+ZNg3jiEcsAhBPPUY1qSx+s76q1Tl65HfzIASEKcP9V4zCkHHFQbzJljnhosM6pLZ/3nqO3+NuXsOFQDAM5gxbHGYaQccBgj5gCAVMOI+fEjlAMJoDaYGwRzAECKIJgfH0I5kCACXrcKsgnmAIDUQTA/doRyIIGk+QjmAIDUQjA/NoRyIMEQzAEAqYZgfnSEciABpfncys/2E8xT1LEsnciyiQBSTe1VrQnmDWNJRCBBpfs8ys+WSoIhWSyXmFKOZelElk0EkIoC3ppgzlLAh2KkHEhgNcGcEXMAQOpgKeCGEcqBBJfu8ygvi2AOAEgdBPNDEcqBJJDhJ5gDAFILwbw+QjmQJAjmAIBUQzA/gFAOJJEMv0ftCOaoo1OXrkddyYXVXAAkMoJ5DVZfAZJMpr+m2+4MVjtcCRLB9q1bdeljC47ajtVcACSy2mDekldlYaQcSEKZfo/ysgNOlwEAQJNp6SPmjJQDSSrT75GV5deuspDTpaAZ1F5g6GhisVgcqgGA+GjJI+aEciCJZQW8kkQwT0HHcoEhSXrp+jPiUA0AxE9LDeZMXwGSXFbAq3ZZfqfLAACgybTEqSyEciAFZAW8yiWY4whqp8OwSguAZNHSgjnTV4AUkb1/KstuprKgAcc6HYZVWgAkkpY0lYWRciCFZDNiDgBIMbXBPNWv0UEoB1JMdsCrtpkEcwBA6gh43SrITu1gTigHUlBOGsEcAJBa0nypHcwJ5UCKyknzqm0GwRwAkDpSOZgTyoEUlpNOMAcApJZUDeaEciDF5aR71Sbj6FeGBKRjWzqRZRMBOC0VgzlLIh4kFAqpqKhIn376qT755BMNGjTI6ZKAE9YqvSaU76kIO1wJEt2xLJ3IsokAEkFtMC8OVstKgeUSGSk/yM9+9jN16NDB6TKAJtcq3ceIOQAgpaT53MrP9qfEiDmhvI533nlH//jHP/T73//e6VKAZtEq3afW6QRzAEDqSPd5UiKYM31lv5KSEl177bV67bXXlJ6eftT2oVBIodCBKycGg8HmLA9oMq33j5bvrUyOqSz0NSB+6G9IVjXBXCoJhpJ2Kgsj5ZIsy9KECRN0/fXXa8iQIcf0mBkzZignJ8e+FRYWNnOVQNNpneGz55knOvoaED/0NySzZB8xT+lQPm3aNBmGccTbunXr9Mgjj6isrEzTp08/5ueePn26SktL7duWLVua8Z0ATa9NkgRz+lriOZYVWlilJTnR35DskjmYp/T0lVtvvVUTJkw4YpuuXbvq/fff18KFC+X311/PeciQIbryyis1d+7cQx7n9/sPaQ8kmzYZPlmWpdKqiNOlHBZ9LfEcywotEqu0JCP6G1JBsk5lSelQ3q5dO7Vr1+6o7R5++GH95je/sbe3b9+uUaNG6aWXXlJRUVFzlgg4rm1mzQE4kYM5AADHIxmDeUqH8mPVqVOnetuZmZmSpG7duqljx45OlATEFcEcAJBq0n0e5WVJO8uSI5gTygFIqgnmlqQgwRxNpHbu+dF06NhRm7/8Ig4VAWhpMvwe5Sk5gjmhvAGdO3dO+H84oDnk7h8xJ5ijKTD3HEAiSJZgntKrrwA4frmZfmUFvE6XAQBAk8nwe5SXldirsjBSDuAQ7bJqRszLqhkxR/M7lmkuTHEBcKLqjpgnIkI5gAYRzBEvxzLNhSkuAJpCht+jdpJCkZjTpRyCUA7gsNpl+WUpceffoeXgpFEATSXT71Ga1+10GYcglAM4orysgEyTYA5ncdIogKbkdiXe3HJO9ARwVK4E/PACACCVMFIOAEgZTHMBkKwI5QCAlME0FwDJilAOAGhxWIYRQKIhlAMAWpxjGVH/63+fzVQYAHFDKAcAoAFMhQEQT6y+AgAAADiMUA4AAAA4jOkrTcSyai6uEgwGHa4EcE5WVpYMo3nXND+evhaLHttllI+lXVM+VyK/5rG24zUPONZlGOVyS+aRn699h5O0ZtWnR32qePQ1iWMbEK++JkmGVdvjcEK2bt2qwsJCp8sAHFVaWqrs7OxmfQ36GhCfvibR34B49TWJUN5kTNPU9u3bj/iNKhgMqrCwUFu2bInbP7CTWtL7bUnvVTr8+43HiAJ9LT74GTaN5vo5xmv07mj9raX9nvB+U5eTx7VaTF9pIi6XSx07djymttnZ2Sn/y11XS3q/Lem9Ss68X/pafPEzbBrJ+nM81v6WrO+vsXi/qcvJ98qJngAAAIDDCOUAAACAwwjlceT3+3X33XfL7/c7XUpctKT325Leq5T47zfR60sG/AybRqr/HFP9/R2M95u6EuG9cqInAAAA4DBGygEAAACHEcoBAAAAhxHKAQAAAIcRygEAAACHEcoBAAAAhxHKAQAAAIcRygEAAACHEcoBAAAAhxHKAQAAAIcRygEAAACHEcoBAAAAhxHKAQAAAIcRygEAAACHEcoBAAAAhxHKAQAAAIcRygEAAACHEcoBAAAAhxHKAQAAAIcRygEAAACHEcqbiGVZCgaDsizL6VKAlEZfA+KH/gbED6G8iZSVlSknJ0dlZWVOlwKkNPoaED/0NyB+COUAAACAwwjlAAAAgMMI5QAAAIDDPE4XACBxmaalNduD2lMZVpt0n07pkC2Xy3C6rCNKxpoBACCUA2jQRxt3a+aCTdq0s1yRmCWv21C3vExNPrubTu+e63R5DUrGmgEAkJi+AqABH23crTteXaW1O4LK8HuUl+VXht+jtTvKdMerq/TRxt1Ol3iIZKwZAIBahHIA9ZimpZkLNqk8FFVBdkBVkZi27auS3+NSQbZf5aGYZi7YJNNMnHWLD6454HXL5TIU8LoTtmYAAOoilAOoZ832oDbtLFfrdJ/KqqPaurdK+6oi+npPpSxJrdK92rSzXGu2B50u1Va3ZsOoP3/cMIyErBkAgLoI5QDq2VMZViRmKRI1tXlPpb2/MhxTNGbJ73YpYlraUxl2sMr6amv2uRv+SEvEmgEAqItQDqCeNuk+WbK0eW/NyLgkuQypS9sM+TwuhWKmvC5DbdJ9jtZZV5t0n7xuQ+GY2eD9iVgzAAB1EcoB1OP3uLSvMqLa6deGpM5tM5Tmc8uyLO2rjKhbXqZO6ZDtaJ11ndIhW93yMrW3MiLLqj9vPFFrBgCgLkI5ANvWvZUaP3uxonVOiCzICSjN61ZVJKbiYEiZfrcmn90todb+drkMTT67mzL9bhUHQ6qKxGSaVkLXDABAXYRyAJKkXWUhjX1qsXaUVkuqGSHvVZAlQ9LO8pAqQ1H1aZ+le3/QPyHX/D69e67u/UF/9WmfpcpQNClqBgCgFhcPAqDSqojGPb1YX+6usPf9enQ/XTmsU1JdHfP07rka3rVtUtUMAIBEKAdavKpwTJPmLNHaHQeWC7xtVC+NHX6yJKl/xxynSmsUl8tIupoBAGD6CtCChaOmJj+/TEu/3mvvu+6srvrvc7o5WBUAAC0PoRxooWKmpVtf/lQfrN9l77t8aKGm/7/eh1yABwAANC9COdACWZalX7y+Wm9+ut3ed37/9rrnB/0J5AAAOIBQDrRA97+7Xi8s2mxvf6tHrv4wZqDcnBAJAIAjCOVACzNrwSbN/GCTvX1ap1b689jB8nvcDlYFAEDLRigHWpC/LN6s+95ZZ2/3LsjS7AnDlO5jISYAAJxEKAdaiLdWbtcdr66yt09um65nJg1TTrrXwaoAAIBEKAdahA/W79QtL62QZdVs52f79dykIuVlBZwtDAAASCKUAylv6Vd7dP1zyxSJ1STyVulePTepSIVt0h2uDAAA1CKUAynss+1BTZyzRNURU5KU4XNrzsRh6pGf5XBlAACgLkI5kKK+3F2hcU8vVll1VJLk87j0xLghGlTYytnCAADAIQjlQAraUVqlq55cpN3lIUmS22XokStO1endcx2uDAAANIRQDqSYPRVhjX1qsbbtq7L33X/JAI06pcDBqgAAwJEQyoEUUlYd0YTZi7VxZ7m97+4L++qSwR0drAoAABwNoRxIEdWRmK59ZqlWbi219908socmntHFwaoAAMCxIJQDKSASM3XDC5/o4y/22PsmnN5ZN32nh4NVAQCAY0UoB5KcaVq6/W8r9c+1Jfa+i087SXdd0FeGYThYGQAAOFaEciCJWZalX7/1mV75ZJu9b2SffN1/yQC5XARyAACSBaEcSGJ//OcGzfnoK3t7RNe2evRHp8rjpmsDAJBMOHIDSeqpf3+ph+dvsLcHdszRE+OHKOB1O1gVAABoDEI5kIReXrpF//PWZ/Z2j7xMzZ44TJl+j4NVAQCAxiKUA0nm3TXFmvbKKnu7Y+s0PTupSG0yfA5WBQAAToTjoXzbtm266qqr1LZtW6Wlpal///5aunSpfb9lWbrrrrvUvn17paWlaeTIkdqwYUO959izZ4+uvPJKZWdnq1WrVpo0aZLKy8vrtVm5cqW+9a1vKRAIqLCwUPfff/8htbz88svq3bu3AoGA+vfvr7///e/N86aBRvrPxt268YVPFDMtSVJupl/PTSpSQU7A4coAAMCJcDSU7927V2eccYa8Xq/eeecdffbZZ3rggQfUunVru83999+vhx9+WLNmzdKiRYuUkZGhUaNGqbq62m5z5ZVXas2aNXrvvff01ltv6cMPP9R1111n3x8MBvXd735XJ598spYtW6bf/e53+uUvf6nHH3/cbvPRRx/piiuu0KRJk/TJJ59o9OjRGj16tFavXh2fHwZwFCu27NN1zyxVOGZKkrIDHj07aZg652Y4XBkAADhRhmVZllMvPm3aNP3nP//Rv/71rwbvtyxLHTp00K233qqf/vSnkqTS0lLl5+drzpw5uvzyy7V27Vr17dtXS5Ys0ZAhQyRJ8+bN0/e+9z1t3bpVHTp00MyZM/Xzn/9cxcXF8vl89mu/9tprWrdunSRpzJgxqqio0FtvvWW//vDhwzVo0CDNmjXrqO8lGAwqJydHpaWlys7OPqGfC3Cwz0vKdNmfF2pfZUSSFPC69Pw1RRp8chuHK4s/+hoQP/Q3IH4cHSl/4403NGTIEP3whz9UXl6eTj31VD3xxBP2/V9++aWKi4s1cuRIe19OTo6Kioq0cOFCSdLChQvVqlUrO5BL0siRI+VyubRo0SK7zVlnnWUHckkaNWqU1q9fr71799pt6r5ObZva1wGcsmVPpcY+tcgO5F63oT+PHdIiAzkAAKnK0VD+xRdfaObMmerRo4feffddTZ48WT/5yU80d+5cSVJxcbEkKT8/v97j8vPz7fuKi4uVl5dX736Px6M2bdrUa9PQc9R9jcO1qb3/YKFQSMFgsN4NaGo7g9W68slFKgmGJEkuQ3pwzKk6u2c7hyuLH/oaED/0N8A5joZy0zR12mmn6d5779Wpp56q6667Ttdee+0xTRdx2owZM5STk2PfCgsLnS4JKWZfZVjjnl6szXsq7X33/qC/zh/Q3sGq4o++BsQP/Q1wjqOhvH379urbt2+9fX369NHmzZslSQUFBZKkkpKSem1KSkrs+woKCrRz585690ejUe3Zs6dem4aeo+5rHK5N7f0Hmz59ukpLS+3bli1bju1NA8egMhzV1XOWaF1xmb3vju/11uXDOjlYlTPoa0D80N8A5zgays844wytX7++3r7PP/9cJ598siSpS5cuKigo0Pz58+37g8GgFi1apBEjRkiSRowYoX379mnZsmV2m/fff1+maaqoqMhu8+GHHyoSidht3nvvPfXq1cte6WXEiBH1Xqe2Te3rHMzv9ys7O7veDWgKoWhMP352mZZv3mfv++9zuum6s7o5V5SD6GtA/NDfAOc4GspvueUWffzxx7r33nu1ceNGvfDCC3r88cc1ZcoUSZJhGLr55pv1m9/8Rm+88YZWrVqlcePGqUOHDho9erSkmpH18847T9dee60WL16s//znP7rhhht0+eWXq0OHDpKkH/3oR/L5fJo0aZLWrFmjl156SQ899JCmTp1q13LTTTdp3rx5euCBB7Ru3Tr98pe/1NKlS3XDDTfE/eeClitmWrr5xRX614bd9r4rizrptlG9HKwKAAA0N0eXRJSkt956S9OnT9eGDRvUpUsXTZ06Vddee619v2VZuvvuu/X4449r3759OvPMM/WnP/1JPXv2tNvs2bNHN9xwg9588025XC5dcsklevjhh5WZmWm3WblypaZMmaIlS5YoNzdXN954o26//fZ6tbz88su688479dVXX6lHjx66//779b3vfe+Y3gfLRuFEWZalaf+7Si8tPfDn4gsHdtCDYwbJ7TIcrCyx0NeA+KG/AfHjeChPFXxw4URYlqV7/75WT/zrS3vfOb3a6fGxQ+TzOH7h3YRCXwPih/4GxA9HeyAB/OmDTfUC+dDOrTXzysEEcgAAWgiO+IDDnv34a/3u3QMnPPdtn60nxw9Vms/tYFUAACCeCOWAg15fsU13vb7a3u6am6FnJg1TTprXwaoAAEC8EcoBh7y/rkS3/vVT1Z7V0T4noGevKVJupt/ZwgAAQNwRygEHLPriG01+brmiZk0ib5Ph07OTinRSqzSHKwMAAE4glANxtnpbqa6Zu1ShqClJyvR7NHfiMHXPyzzKIwEAQKoilANxtGlXucY/vVhloagkye9x6cnxQ9S/Y47DlQEAACcRyoE42bavSmOfXKRvKsKSJI/L0MyrTtPwrm0drgwAADiNUA7Ewe7ykMY+uUjbS6slSYYhPXDZQH27d77DlQEAgERAKAeaWbA6ovFPL9YXuyvsfb/+fj99f9BJDlYFAAASCaEcaEZV4ZiumbNUa7YH7X0//W5PjR1+soNVAQCAREMoB5pJOGrqv59fpsVf7bH3XfutLppybncHqwIAAImIUA40g5hp6acvf6r/W7/L3vfDwR11x/f6yDAMBysDAACJiFAONDHLsnTX66v1xqfb7X3nnVKgGRf3J5ADAIAGEcqBJvb7f6zX84s229vf6pGrh64YJI+b7gYAABpGSgCa0OMfbtJj/7fJ3j61UyvNumqw/B63g1UBAIBERygHmshLSzbr3r+vs7d75Wdp9oShyvB7HKwKAAAkA0I50AT+vmqHpr+yyt7u1CZdz04aplbpPgerAgAAyYJQDpygDz/fpZte/ESmVbOdl+XX89cUKS874GxhAAAgaRDKgROw7Ou9+vGzyxSJ1STyVulePXdNkQrbpDtcGQAASCaEcqCR1u4IauLsxaqKxCRJ6T63Zk8Yqp75WQ5XBgAAkg2hHGiEr7+p0NinFitYHZUk+dwuPTFuiE7t1NrhygAAQDIilAPHqbi0Wlc+uUi7y0OSJJchPXzFqTqje67DlQEAgGRFKAeOw96KsMY+tUhb91bZ+357yQCd16/AwaoAAECyI5QDx6g8FNWE2Yu1YWe5ve8XF/TVD4cUOlgVAABIBYRy4BhUR2K67pml+nRrqb3vJ9/urklndnGwKgAAkCoI5cBRRGOmfvKXT/TRpm/sfRNO76xb/qung1UBAIBUQigHjsA0Ld3+v6v0j89K7H0Xn3qS7rqgrwzDcLAyAACQSgjlwGFYlqX/efsz/e/yrfa+kX3y9NtLB8jlIpADAICmQygHDuPh+Rs1+z9f2dvDu7bRoz86TV433QYAADQt0gXQgDn/+VJ//Ofn9nb/k3L0xLghCnjdDlYFAABSFaEcOMgry7fql29+Zm93z8vU3KuHKSvgdbAqAACQygjlQB3vfVai2/620t4+qVWanp00TG0yfA5WBQAAUh2hHNjvo027NeWF5YqZliQpN9Ov564pUvucNIcrAwAAqY5QDkj6dMs+XTt3qcJRU5KUFfDomauHqUtuhsOVAQCAloBQjhZvQ0mZxs9erIpwTJIU8Lo0e8JQ9e2Q7XBlAACgpSCUo0XbsqdSVz21SPsqI5Ikr9vQn8cO0ZDObRyuDAAAtCSEcrRYO8uqddVTi1QSDEmSDEP645hBOrtnO4crAwAALQ2hHC1SaWVE455arK+/qbT33TO6vy4Y0MHBqgAAQEtFKEeLUxmOauKcxVpXXGbvu/283vpRUScHqwIAAC1ZwoTy++67T4Zh6Oabb7b3VVdXa8qUKWrbtq0yMzN1ySWXqKSkpN7jNm/erPPPP1/p6enKy8vTbbfdpmg0Wq/NBx98oNNOO01+v1/du3fXnDlzDnn9xx57TJ07d1YgEFBRUZEWL17cHG8TDgtHTV3/3HIt37zP3nf92d00+ZxuzhUFAABavIQI5UuWLNGf//xnDRgwoN7+W265RW+++aZefvllLViwQNu3b9fFF19s3x+LxXT++ecrHA7ro48+0ty5czVnzhzddddddpsvv/xS559/vs4991ytWLFCN998s6655hq9++67dpuXXnpJU6dO1d13363ly5dr4MCBGjVqlHbu3Nn8bx5xEzMt3fLSCn34+S573xXDOun283o5WBUAAIBkWJZlOVlAeXm5TjvtNP3pT3/Sb37zGw0aNEgPPvigSktL1a5dO73wwgu69NJLJUnr1q1Tnz59tHDhQg0fPlzvvPOOLrjgAm3fvl35+fmSpFmzZun222/Xrl275PP5dPvtt+vtt9/W6tWr7de8/PLLtW/fPs2bN0+SVFRUpKFDh+rRRx+VJJmmqcLCQt14442aNm3aMb2PYDConJwclZaWKjubpfQSjWVZmv7KKr24ZIu97/wB7fXw5afK7TIcrAzHi74GxA/9DYgfx0fKp0yZovPPP18jR46st3/ZsmWKRCL19vfu3VudOnXSwoULJUkLFy5U//797UAuSaNGjVIwGNSaNWvsNgc/96hRo+znCIfDWrZsWb02LpdLI0eOtNsguVmWpfveWVcvkJ/ds53+eNkgAjkAAEgIHidf/MUXX9Ty5cu1ZMmSQ+4rLi6Wz+dTq1at6u3Pz89XcXGx3aZuIK+9v/a+I7UJBoOqqqrS3r17FYvFGmyzbt26w9YeCoUUCoXs7WAweJR3C6fMXLBJf/7wC3t7yMmtNeuqwfJ5HP9OimNAXwPih/4GOMexVLJlyxbddNNNev755xUIBJwqo9FmzJihnJwc+1ZYWOh0SWjAcx9/rfvnrbe3+7TP1lMThirN53awKhwP+hoQP/Q3wDmOhfJly5Zp586dOu200+TxeOTxeLRgwQI9/PDD8ng8ys/PVzgc1r59++o9rqSkRAUFBZKkgoKCQ1Zjqd0+Wpvs7GylpaUpNzdXbre7wTa1z9GQ6dOnq7S01L5t2bLlsG3hjDc+3a5fvH7gXIIuuRl65uphyknzOlgVjhd9DYgf+hvgHMdC+Xe+8x2tWrVKK1assG9DhgzRlVdeaf+/1+vV/Pnz7cesX79emzdv1ogRIyRJI0aM0KpVq+qtkvLee+8pOztbffv2tdvUfY7aNrXP4fP5NHjw4HptTNPU/Pnz7TYN8fv9ys7OrndD4vi/9Ts19aUVqj2NuSA7oGcnDVO7LL+zheG40deA+KG/Ac5xbE55VlaW+vXrV29fRkaG2rZta++fNGmSpk6dqjZt2ig7O1s33nijRowYoeHDh0uSvvvd76pv374aO3as7r//fhUXF+vOO+/UlClT5PfXhK/rr79ejz76qH72s5/p6quv1vvvv6+//vWvevvtt+3XnTp1qsaPH68hQ4Zo2LBhevDBB1VRUaGJEyfG6aeBprT4yz2a/NwyRc2aRN463avnrhmmjq3THa4MAACgYY6e6Hk0f/zjH+VyuXTJJZcoFApp1KhR+tOf/mTf73a79dZbb2ny5MkaMWKEMjIyNH78eP3617+223Tp0kVvv/22brnlFj300EPq2LGjnnzySY0aNcpuM2bMGO3atUt33XWXiouLNWjQIM2bN++Qkz+R+FZvK9WkOUtUHTElSZl+j565ukjd87IcrgwAAODwHF+nPFWwlqvzNu0q12WzFuqbirAkyedxae7EYRrRra3DlaEp0deA+KG/AfHDmnBICdv3VWnsk4vsQO52GfrTj04jkAMAgKRAKEfS210e0lVPLdL20mp73wM/HKiRfZl+BAAAksNxhfLvfe97Ki0ttbfvu+++eksWfvPNN/aqJ0A8BKsjmjB7sb7YVWHv+/X3T9HoU09ysCoAAIDjc1yh/N133613pa97771Xe/bssbej0ajWr1/f0EOBJlcdiemauUu1etuBK87d+l89NW5EZ+eKAgAAaITjCuUHnxPKOaJwSiRmasrzy7X4ywNfCq8+o4tu+HZ3B6sCAABoHOaUI+mYpqWfvvyp5q87cNGoSwd31J3n95FhGA5WBgAA0DjHFcoNwzgk9BCCEE+WZemXb67R6yu22/tGnZKv+y7uL5eL30UAAJCcjuviQZZlacKECfbVMqurq3X99dcrIyNDkurNNweawx/e+1zPLPza3j6je1s9fMWp8rj5ow8AAEhexxXKx48fX2/7qquuOqTNuHHjTqwi4DCe/NcXeuT9jfb2oMJWenzsEPk9bgerAgAAOHHHFcpnz57dXHUAR/TXJVv0m7fX2tu98rM0Z+JQZfiP61cYAAAgIfE3fyS8d1bt0LRXVtrbhW3S9MykYWqV7nOwKgAAgKZDKEdC+9eGXbrpxRUy96++2S7Lr+cmFSk/O+BsYQAAAE2IUI6EtezrvbrumWUKx0xJUk6aV89NKtLJbTMcrgwAAKBpEcqRkNYVB3X1nCWqisQkSek+t2ZPHKpeBVkOVwYAAND0COVIOF9/U6GxTy1WaVVEkuRzu/TnsYN1WqfWDlcGAADQPAjlSCglwWpd9dQi7SqrWfPeZUgPXzFI3+rRzuHKAAAAmg+hHAljb0VYY59apC17qux99108QOf1a+9gVQAAAM2PUI6EUBGKasKcJfq8pNzed+f5fXTZ0EIHqwIAAIgPQjkcVx2J6bpnl+rTLfvsfTec213XfKurc0UBAADEEaEcjorGTP3kL5/oPxu/sfeNG3Gybv1uTwerAgAAiC9CORxjmpamvbJK//isxN73/UEd9MsLT5FhGA5WBgAAEF+EcjjCsiz95u21+tuyrfa+b/fO0+9/OFAuF4EcAAC0LIRyOOLR9zfq6f98aW8P69JGf7ryNHnd/EoCAICWhwSEuHtm4Vd64L3P7e1+J2XryfFDFPC6HawKAADAOYRyxNWrn2zVXa+vsbe7tsvQ3InDlB3wOlgVAACAswjliJt/flain7680t4+qVWanptUpLaZfgerAgAAcB6hHHGxcNM3+u8XlitmWpKk3Eyfnp00TB1apTlcGQAAgPMI5Wh2K7fu0zVzlygcNSVJWX6P5l49TF3bZTpcGQAAQGIglKNZbdxZpvFPL1ZFOCZJCnhdenriUJ3SIcfhygAAABIHoRzNZuveSl315GLtrYxIkjwuQzOvHKyhnds4XBkAAEBiIZSjWewqC2nsU4tVHKyWJBmG9Icxg3Ru7zyHKwMAAEg8hHI0udKqiMY9vVhf7q6w9/1mdD9dNLCDg1UBAAAkLkI5mlRVOKZJc5Zo7Y6gve9n5/XSlUUnO1gVAABAYiOUo8mEo6auf26Zln69197347O66r/P6e5gVQAAAImPUI4mETMt3fLXFVrw+S573xXDCjXt//V2sCoAAIDkQCjHCbMsS3e+tlpvr9xh7zu/f3v9ZnR/GYbhYGUAAADJgVCOE3bfvHX6y+LN9vZZPdvpj2MGye0ikAMAABwLQjlOyMwPNunPC76wtwef3FqzrjpNPg+/WgAAAMeK5IRGe37R1/rtvHX2du+CLD09fqjSfR4HqwIAAEg+hHI0ypufbtedr622tzu3Tdezk4qUk+51sCoAAIDkRCjHcftg/U7d8tIKWVbNdn62X89OKlK7LL+zhQEAACQpR0P5jBkzNHToUGVlZSkvL0+jR4/W+vXr67Wprq7WlClT1LZtW2VmZuqSSy5RSUlJvTabN2/W+eefr/T0dOXl5em2225TNBqt1+aDDz7QaaedJr/fr+7du2vOnDmH1PPYY4+pc+fOCgQCKioq0uLFi5v8PSe7pV/t0fXPLVPUrEnkrdO9em5SkQrbpDtcGQAAQPJyNJQvWLBAU6ZM0ccff6z33ntPkUhE3/3ud1VRceDy7LfccovefPNNvfzyy1qwYIG2b9+uiy++2L4/Fovp/PPPVzgc1kcffaS5c+dqzpw5uuuuu+w2X375pc4//3yde+65WrFihW6++WZdc801evfdd+02L730kqZOnaq7775by5cv18CBAzVq1Cjt3LkzPj+MJLBme6kmzlmi6ogpScrwuTVn4jD1yM9yuDIAAIDkZlhW7SQE5+3atUt5eXlasGCBzjrrLJWWlqpdu3Z64YUXdOmll0qS1q1bpz59+mjhwoUaPny43nnnHV1wwQXavn278vPzJUmzZs3S7bffrl27dsnn8+n222/X22+/rdWrD8yBvvzyy7Vv3z7NmzdPklRUVKShQ4fq0UcflSSZpqnCwkLdeOONmjZt2lFrDwaDysnJUWlpqbKzs5v6R+O4L3aV67I/L9Tu8rAkyedxac7EoTq9W67DlaGlSfW+BiQS+hsQPwk1p7y0tFSS1KZNG0nSsmXLFIlENHLkSLtN79691alTJy1cuFCStHDhQvXv398O5JI0atQoBYNBrVmzxm5T9zlq29Q+Rzgc1rJly+q1cblcGjlypN3mYKFQSMFgsN4tVe0ordLYpxbbgdztMvToFacSyBEXLamvAU6jvwHOSZhQbpqmbr75Zp1xxhnq16+fJKm4uFg+n0+tWrWq1zY/P1/FxcV2m7qBvPb+2vuO1CYYDKqqqkq7d+9WLBZrsE3tcxxsxowZysnJsW+FhYWNe+MJ7pvykK56cpG27auy991/yQB995QCB6tCS9JS+hqQCOhvgHMSJpRPmTJFq1ev1osvvuh0Kcdk+vTpKi0ttW9btmxxuqQmV1Yd0YTZS7Rp14E5/r+8sK8uGdzRwarQ0rSEvgYkCvob4JyEuMrLDTfcoLfeeksffvihOnY8EPgKCgoUDoe1b9++eqPlJSUlKigosNscvEpK7eosddscvGJLSUmJsrOzlZaWJrfbLbfb3WCb2uc4mN/vl9+fuksAVkdiumbuUq3aVmrvu2VkT004o4uDVaElSvW+BiQS+hvgHEdHyi3L0g033KBXX31V77//vrp0qR/4Bg8eLK/Xq/nz59v71q9fr82bN2vEiBGSpBEjRmjVqlX1Vkl57733lJ2drb59+9pt6j5HbZva5/D5fBo8eHC9NqZpav78+XabliQSM3XDC8u16Ms99r4Jp3fWT77T3cGqAAAAUpejI+VTpkzRCy+8oNdff11ZWVn2/O2cnBylpaUpJydHkyZN0tSpU9WmTRtlZ2frxhtv1IgRIzR8+HBJ0ne/+1317dtXY8eO1f3336/i4mLdeeedmjJliv1t//rrr9ejjz6qn/3sZ7r66qv1/vvv669//avefvttu5apU6dq/PjxGjJkiIYNG6YHH3xQFRUVmjhxYvx/MA4yTUs/+9tK/XPtgS85l5zWUXdd0FeGYThYGQAAQOpyNJTPnDlTknTOOefU2z979mxNmDBBkvTHP/5RLpdLl1xyiUKhkEaNGqU//elPdlu326233npLkydP1ogRI5SRkaHx48fr17/+td2mS5cuevvtt3XLLbfooYceUseOHfXkk09q1KhRdpsxY8Zo165duuuuu1RcXKxBgwZp3rx5h5z8mcosy9Kv3lyjVz/ZZu/7r775+u0l/eVyEcgBAACaS0KtU57MUmEt1z/8Y70efn+jvX16t7Z6esJQBbxuB6sC6kuFvgYkC/obED8Js/oKnPXkv76oF8gHFrbS4+OGEMgBAADigFAO/XXpFv3m7bX2do+8TM2ZMFSZ/oRYnAcAACDlEcpbuHmrizXtf1fa2x1bp+nZSUVqneFzsCoAAICWhVDegv1n42795C+fyNx/VkFupl/PTSpSQU7A2cIAAABaGEJ5C/XJ5r269pmlCsdMSVJ2wKNnJw1T59wMhysDAABoeQjlLdDnJWWaMHuJKsMxSVKa163ZE4epT3vOrAcAAHACobyF2fxNpa56cpFKqyKSJK/b0OPjBmvwya0drgwAAKDlYnmNFGealtZsD2pPZViypF+8vlo7y0KSJJchPXT5qfpWj3YOVwk0nbq/823SfTqlQzYXvwIAJDxCeQr7aONuzVywSZt2lisUNVVaFVHUPHCtqBkX99f3+rd3sEKgadX9nY/ELHndhrrlZWry2d10evdcp8sDAOCwmL6Soj7auFt3vLpKa3cEleZ1qzIcqxfIfzSsk8YM7eRghUDTqvs7n+H3KC/Lrwy/R2t3lOmOV1fpo427nS4RAIDDIpSnINO0NHPBJpWHosrL8qu4rFpVkZh9f5rXrS17K2XWCelAMqv7O1+QHVDA65bLZSjgdasg26/yUEwzF2zidx4AkLAI5SlozfagNu0sV6s0r7burVJF6EAgb5PhU4dWAW3aWa4124MOVgk0ndrf+dbpPhlG/fnjhmGoVbqX33kAQEJjTnkK2lMZVjhqqjIcU7A6au/PSfOqQ05AliUFq6M1J38CKWBPZViRmCWfu+FxBr/bpVLT4nceAJCwGClPQa3TvKqKxLRv/7KHkpTl96iwdZoMw1AoZsrrMtQm3edglUDTaZPuk9dt2BfDOhi/8wCARMdIeYqouwzcP9YUqyJ8YMpKus+tTm3SZRiGLMvSvsqI+rTP0ikduFgQUsMpHbLVLS9Ta3eUKT/bUChiKWqa8rhc8nsNfucBAAmPUJ4C6i4DF6yOqjx0YMqK22UoPzsgSTWj55URZfrdmnx2N9ZuRspwuQxNPrubbvnrCn1eUi7LsmRZkmHUzClvm+Hjdx4AkNAI5Umudhm48lBUbpdxSCDvmZeh0qqaoO51GerTPos1m9ECGKp7vidrrgAAEh2hPInVXQYu3efW5j1V9n1et6FMv1dtM/2675KB2lcV4eqGSFm1fSFmWuqZl6lQtM70FY+hkrKwZi7YpOFd2/L7DwBISITyJFa7DFzA49aWOoHc7TLUpW2GTElf7KqQyzB0ds92zhUKNLO6SyK6XC6l+STJbd9fd0nE/h1zHKsTAIDDIZQnsT2V4f3LHkbsP8+7DKlL2wz5vW6ZpsUycGgRWBIRAJDsCOVJpu4qK2u3BxWsjqj2IoWGpM5tM5TmqxkhZBk4tBR1l0T0Gy5VR0x7+krA66IvAAASHqE8idRdZaU6YmpfVVh1rxreqW26Mvw1/6QsfYiWpHZJxE+3lCpmmgrHTHv1FZ/bJbfLpYGFOfQFAEDC4uJBSaJ2lZW1O4Lye10qD0XrBfI0r1tet0umaakqElNxMMTSh2gxXC5DZ/XIVWU4qsr9a/TXzmSpDMdUGY7qrB659AUAQMIilCeBuqustMv0a0dpdb0rFwa8Lvm9LlVUR7SzPKTKUFR92mfp3h/0Z+lDtAimaenDDbuV4Xcrff/0rdouku5zK8Pv1ocbdss0WRwRAJCYmL6SBGpXlshJ8+rrPZWqjhwI5PnZfmUFvKoMRXXbqN5qk+lj6UO0OLV9JC8rIL/XpepwnTnlvpo55qy+AgBIZITyJLCnMqxw1FSw+sCf5iUpN9Ondpl+WZZUalpqk+lj6UO0SHVXXzFk7D/Z+cCSiKy+AgBIdITyBFV3lZXdwZDKw9F6I+St070qyA7IMAxVR2OsLIEWrd7qK65DR8pZfQUAkOgI5Qmo7ior4aipyoMCeXbAo5NapckwDFZZAXRg9ZWVW/cpGrMOWX3F4zY0oGMr+ggAIGFxomeCqbvKSu3yhpV1ArnHZahdVs2UFVZZAWrUrr5SEYo1uPpKRSjG6isAgIRGKE8gdVdZKcgOqKw6qt0VB+bAug1DGX63qsIxVlkB6qhdfSXd1/DqK+k+D6uvAAASGtNXEkjtChKt033aWxlRcbDavi/gcal9qzRVh1llBThYbd/Jzw7I7zn0ip7VUVZfAQAkNkJ5gjBNS8u/3quKcExR09LOspB9n8/tUufcDLkNQ+WhKKusAAepu/qKDv6OarD6CgAg8RHKE0DtiZ1rdwQVrIqo7h/YPS5DXXIz5HW7VBVhlRWgIbWrr+yriqi0KqJQNGaf6On3uJWT5qXvAAASGqHcQaZp6dmPv9ID//hc4WhMAY9LB894zc8OyOdxscoKcASndMhW20yf1mwPyrIklyFZkgxLqghFVRmO6pQO2fQdAEDCIpQ75N8bdum2v32qHaUHpqlUR2P12rgk7asMK83n0r7KKKusAEdRex5n7KBvtxbndwIAEhyh3AGPL9ioe99Zf8Q2nv3BuyoSU2llzSork8/uxiorQANqT/Q8Ek70BAAkMkJ5nP15wSbNOEogl6SYaenktmnaWxnVlG9317jhJzNCDhxGSbCq3nr+DamMmCoJVqm/COUAgMTDOuVx9O8NuzTjnXXH1NaSVBU2leFza3Cn1gRy4Aj++VlJk7YDACDeCOVxYpqWrnpq8XE9pqw6om55mZycBhzFsq++adJ2AADEG9NX4qTrHX8/7sek+z2c2Akcg53lx7b++IbdVeo87e1mriY+3KoZVYnE6fVcktz7V7WxLCl20P2GJI8h+TxSNCZFTMnnMZQT8Kh9tl+7K0IqD8VUHjZlmlLdyUYeQ0pzSWHVXIk1zedS2wyfPG63/C7J53XL73XL75FWbA6qIhyTYUg+l6HMgFut070KhmIKRS3lBDxK93vss3trl8aUDGWmeZWf5Ve/Dln6vKRc/964R1XRqLq0SdclQzuqOmzqs21lCvhcysvyKzvNK8MwlOn3qKw6opJgSLmZXn2xs0I7gtUqq44oN9Ovjq3SVBmJKRSz1LlNhq4/q6t8+68sW5dpWlqzPag9leFDLv4WjZp6c+UObdtXqZNapevCAe3l8TBuBrQkhmWxLkFdjz32mH73u9+puLhYAwcO1COPPKJhw4Yd9XHBYFA5OTkqLS1Vdnb9ke3GhABD0tyrh+qsnnnH/VgglTXU1/r+4p2jzikH4sXjMjRmSEfdc/EAe1/t9Sg27SxXJGbJ6zbULS9Tk8/upjXbS/XYB5tUVhWRqZovQFlpXk05p5uuPaubY+9DOvKxDUDTYqS8jpdeeklTp07VrFmzVFRUpAcffFCjRo3S+vXrlZfXuHDc2FG5n43qSSAHjpHf4yKUI2FETUvPL94iSbrn4gH6aONu3fHqKpWHomqd7pPP7VI4ZmrtjjJNeWG5glURmZbkcRvyGDVLe5ZWRvTbeTWLAjgdzAHEB38bq+MPf/iDrr32Wk2cOFF9+/bVrFmzlJ6erqeffrpRz9fYQH5OjzaafG6PRj0WaIn6dchyugTgEC8t3arq6qhmLtik8lBUBdkBBbxuuVyGAl638rK82lcZUcyqmerjcbnkMlzyuFzyeQzFTEuPfbBJ0ShfOIGWgFC+Xzgc1rJlyzRy5Eh7n8vl0siRI7Vw4cJD2odCIQWDwXq3pjDgpCzNmTSiSZ4LSAXH0tduGtnLgcqAI4ualq5+ZqlWby2Vx2UoWB1VaVVEwaqIgtURlQTD9lWcTbNmKdyYack0rZpw7jZUVhXRmyt3xK3m5jq2ATg6Qvl+u3fvViwWU35+fr39+fn5Ki4u/v/t3XtYVHX+B/D3zMAMIMIIqDCBiFy94A11wk3NZBXCS+WvjCjBdbVcdHW9ZLq5Wo8b7Fqrla5PtVzy0Scv+4i26rohgpmSBO4oChISiiWXFuUyodzm8/uDOHkcBERmDgOf1/OcRzznM2e+n/Od78yHwznfMYqPjY2Fo6OjsHh4eDxyG5xsFfh82eRH3g9jPUlHxtpYTycJWsZY+85+V4HbdxpQWl2H4lu1KL5Vi+u3anG9ohYVP/1yg3KDgVDfZEB9kwF1Tc1nxuU/31j7Q2Wt2dpris82xljHcFHeSevWrUNVVZWw3Lhx45H3mbVhRhe0jLGepSNjTS6XwUaCtjFmSgZqvun/MbWd2Z7TFJ9tjLGO4Rs9f+bi4gKFQoGyMvGXi5SVlcHV1dUoXqVSQaVSddnzvztvGE99yFgrOjrWzq5/CmPfOWmGFjHWcWM81LharkdtQxOsf36Pb7lkhYhQ32Q8AZoMgIEMaGwiONpZY9ZIN7O1t6s/2xhjHcdnyn+mVCoRFBSE1NRUYZ3BYEBqaiqCgzt3jfe1uPAOxckB/N8Yr049B2OsmZODLRxsjOeGZkwqkRM8kBzzK3z0ShA8+tnC3sYa7k528OlvDw8nOzjYKtHPzhoKWXMhbq2QQWUlg5VChvpGgkIuQ8yT3jxfOWO9BI/0e6xcuRKffPIJPv30U+Tl5WHJkiX46aefsGDBgk7vs73CXC4Dvutg8c4Ya9vFTaFcmDPJWclliJzgIcxTPtHHBe88G4ihbn1RW9eIcn0dausaMdStL3a8NBZvhAXA0c4aBgOhoan5Rk9HO2usDfXn6RAZ60X4y4Pus337duHLg0aPHo0PPvgAWq223ce19wULrU2PePb1ydA48VRujD2MjnyZya3qOz3+Uhb+Rk/+Rk9z4C8PYsx8uCjvIvzGxZh58FhjzHx4vDFmPtL/Gs4YY4wxxlgvx0U5Y4wxxhhjEuOinDHGGGOd9uLHxt96zRh7eFyUM8YYY4wxJjH+8qAu0nK/bHV1tcQtYUw6ffv2hUxm2i/B4rHGmHnGGtCx8dbU2MTjkfVY5hprAM++0mW+//57eHh4SN0MxiRljhkaeKwxZp6xBvB4Y8ycMw9xUd5FDAYDbt682eZvVNXV1fDw8MCNGzd6xdRSvSnf3pQr8OB8zXFGgceaefAx7BqmOo7mOnvX3njrba8TzrfnkvJzrQVfvtJF5HI53N3dOxTr4ODQ41/c9+pN+famXAFp8uWxZl58DLuGpR7Hjo43S82vszjfnkvKXPlGT8YYY4wxxiTGRTljjDHGGGMS46LcjFQqFTZu3AiVSiV1U8yiN+Xbm3IFun++3b19loCPYdfo6cexp+d3P8635+oOufKNnowxxhhjjEmMz5QzxhhjjDEmMS7KGWOMMcYYkxgX5YwxxhhjjEmMi3LGGGOMMcYkxkX5Q9ixYwcGDx4MGxsbaLVaZGZmthl/4MABBAQEwMbGBoGBgTh27JhoOxHhT3/6E9zc3GBra4uQkBAUFBSIYm7duoXIyEg4ODhArVZj4cKF0Ov1XZ5ba7oy34aGBqxduxaBgYHo06cPNBoN5s+fj5s3b4r2MXjwYMhkMtESFxdnkvzu1dV9Gx0dbZRHaGioKKan9C0Ao1xbli1btggx5uzbh82P/SI2Nhbjx49H3759MWDAADzzzDPIz8+XulkWLS4uDjKZDCtWrJC6KV2uu4+1jryen3zySaP3ptdee00UU1xcjPDwcNjZ2WHAgAFYs2YNGhsbRTHp6ekYO3YsVCoVfHx8kJSUZNQeUx+vTZs2GeUSEBAgbL979y5iYmLg7OwMe3t7zJ07F2VlZRaZK9D654pMJkNMTAwAC+xbYh2yd+9eUiqVlJCQQJcvX6ZFixaRWq2msrKyVuPPnDlDCoWC/vrXv1Jubi69+eabZG1tTTk5OUJMXFwcOTo60qFDh+jChQs0e/Zs8vLyojt37ggxoaGhNGrUKPr666/p9OnT5OPjQxERERaXb2VlJYWEhNC+ffvoypUrlJGRQRMmTKCgoCDRfjw9Pentt9+mkpISYdHr9RaVKxFRVFQUhYaGivK4deuWaD89pW+JSJRnSUkJJSQkkEwmo8LCQiHGXH37sPkxsRkzZlBiYiJdunSJdDodPf300zRo0CCTj8OeKjMzkwYPHkwjR46k5cuXS92cLmUJY60jr+cpU6bQokWLRO9NVVVVwvbGxkYaMWIEhYSE0H//+186duwYubi40Lp164SY7777juzs7GjlypWUm5tLH374ISkUCjp+/LgQY47jtXHjRho+fLgolx9//FHY/tprr5GHhwelpqZSVlYWPf744zRx4kSLzJWIqLy8XJRrSkoKAaC0tDQisry+5aK8gyZMmEAxMTHC/5uamkij0VBsbGyr8S+88AKFh4eL1mm1Wnr11VeJiMhgMJCrqytt2bJF2F5ZWUkqlYo+++wzIiLKzc0lAPTNN98IMf/+979JJpPRDz/80GW5taar821NZmYmAaDr168L6zw9PWnr1q2P1viHZIpco6KiaM6cOQ98zp7et3PmzKGnnnpKtM5cffuw+bG2lZeXEwA6deqU1E2xODU1NeTr60spKSk0ZcqUHleUW+JYa+313F7fHDt2jORyOZWWlgrrdu7cSQ4ODlRXV0dERK+//joNHz5c9Lh58+bRjBkzhP+b43ht3LiRRo0a1eq2yspKsra2pgMHDgjr8vLyCABlZGQQkWXl2prly5eTt7c3GQwGIrK8vuXLVzqgvr4e2dnZCAkJEdbJ5XKEhIQgIyOj1cdkZGSI4gFgxowZQnxRURFKS0tFMY6OjtBqtUJMRkYG1Go1xo0bJ8SEhIRALpfj3LlzXZbf/UyRb2uqqqogk8mgVqtF6+Pi4uDs7IwxY8Zgy5YtRn9G6kqmzDU9PR0DBgyAv78/lixZgoqKCtE+emrflpWV4ejRo1i4cKHRNlP3bWfyY22rqqoCADg5OUncEssTExOD8PBwo/HTE1jqWHvQ63nPnj1wcXHBiBEjsG7dOtTW1grbMjIyEBgYiIEDBwrrZsyYgerqaly+fFmIaet90pzHq6CgABqNBkOGDEFkZCSKi4sBANnZ2WhoaBC1ISAgAIMGDRLVHZaU673q6+uxe/du/OY3v4FMJhPWW1LfWj1UdC/1v//9D01NTaJOA4CBAwfiypUrrT6mtLS01fjS0lJhe8u6tmIGDBgg2m5lZQUnJychxhRMke/97t69i7Vr1yIiIgIODg7C+t///vcYO3YsnJyccPbsWaxbtw4lJSX429/+9ohZtc5UuYaGhuK5556Dl5cXCgsLsX79eoSFhSEjIwMKhaJH9+2nn36Kvn374rnnnhOtN0ffdiY/9mAGgwErVqzAr371K4wYMULq5liUvXv34vz58/jmm2+kbopJWOJYe9Dr+aWXXoKnpyc0Gg0uXryItWvXIj8/HwcPHgTw4PfAlm1txVRXV+POnTu4ffu2WY6XVqtFUlIS/P39UVJSgrfeeguTJk3CpUuXUFpaCqVSaXQi7P66w1Jyvd+hQ4dQWVmJ6OhoYZ2l9S0X5czsGhoa8MILL4CIsHPnTtG2lStXCj+PHDkSSqUSr776KmJjYy3qa35ffPFF4efAwECMHDkS3t7eSE9Px7Rp0yRsmeklJCQgMjISNjY2ovU9pW97k5iYGFy6dAlfffWV1E2xKDdu3MDy5cuRkpJiNA6YdB70el68eLHwc2BgINzc3DBt2jQUFhbC29vb3M18JGFhYcLPI0eOhFarhaenJ/bv3w9bW1sJW2Z68fHxCAsLg0ajEdZZWt/y5Ssd4OLiAoVCYXSHcllZGVxdXVt9jKura5vxLf+2F1NeXi7a3tjYiFu3bj3webuCKfJt0VKQX79+HSkpKaKz5K3RarVobGzEtWvXHj6RDjBlrvcaMmQIXFxccPXqVWEfPa1vAeD06dPIz8/Hb3/723bbYoq+7Ux+rHVLly7FkSNHkJaWBnd3d6mbY1Gys7NRXl6OsWPHwsrKClZWVjh16hQ++OADWFlZoampSeomPjJLG2sP83rWarUAIHq/bi3Plm1txTg4OMDW1lay46VWq+Hn54erV6/C1dUV9fX1qKysfGAbLDXX69ev48SJE+1+9nT3vuWivAOUSiWCgoKQmpoqrDMYDEhNTUVwcHCrjwkODhbFA0BKSooQ7+XlBVdXV1FMdXU1zp07J8QEBwejsrIS2dnZQszJkydhMBiEF5YpmCJf4JeCvKCgACdOnICzs3O7bdHpdJDL5UaXenQVU+V6v++//x4VFRVwc3MT9tGT+rZFfHw8goKCMGrUqHbbYoq+7Ux+TIyIsHTpUiQnJ+PkyZPw8vKSukkWZ9q0acjJyYFOpxOWcePGITIyEjqdDgqFQuomPjJLGWudeT3rdDoAEL1f5+TkiE6ktJxUGjZsmBDT1vukVMdLr9ejsLAQbm5uCAoKgrW1tagN+fn5KC4uFtUdlphrYmIiBgwYgPDw8Dbjun3fPtRtob3Y3r17SaVSUVJSEuXm5tLixYtJrVYLd+y+8sor9MYbbwjxZ86cISsrK3r33XcpLy+PNm7c2OqUiGq1mg4fPkwXL16kOXPmtDol4pgxY+jcuXP01Vdfka+vr9mmzevKfOvr62n27Nnk7u5OOp1OND1Ryx3OZ8+epa1bt5JOp6PCwkLavXs39e/fn+bPn29RudbU1NDq1aspIyODioqK6MSJEzR27Fjy9fWlu3fvCvvpKX3boqqqiuzs7Gjnzp1Gz2nOvm0vP9a2JUuWkKOjI6Wnp4vGaW1trdRNs2g9cfYVSxhr7b2er169Sm+//TZlZWVRUVERHT58mIYMGUKTJ08W9tEybd706dNJp9PR8ePHqX///q1Om7dmzRrKy8ujHTt2tDptnqmP16pVqyg9PZ2KiorozJkzFBISQi4uLlReXk5EzVMiDho0iE6ePElZWVkUHBxMwcHBFplri6amJho0aBCtXbtWtN4S+5aL8ofw4Ycf0qBBg0ipVNKECRPo66+/FrZNmTKFoqKiRPH79+8nPz8/UiqVNHz4cDp69Khou8FgoA0bNtDAgQNJpVLRtGnTKD8/XxRTUVFBERERZG9vTw4ODrRgwQKqqakxWY736sp8i4qKCECrS8t8otnZ2aTVasnR0ZFsbGxo6NCh9M4774gKWUvItba2lqZPn079+/cna2tr8vT0pEWLFhkNzp7Sty0++ugjsrW1pcrKSqNt5u7btvJjbXvQOE1MTJS6aRatJxblRN1/rLX3ei4uLqbJkyeTk5MTqVQq8vHxoTVr1ojmsiYiunbtGoWFhZGtrS25uLjQqlWrqKGhQRSTlpZGo0ePJqVSSUOGDGl1zJj6eM2bN4/c3NxIqVTSY489RvPmzaOrV68K2+/cuUO/+93vqF+/fmRnZ0fPPvsslZSUWGSuLf7zn/8QAKP6yRL7VkZE9HDn1hljjDHGGGNdia8pZ4wxxhhjTGJclDPGGGOMMSYxLsoZY4wxxhiTGBfljDHGGGOMSYyLcsYYY4wxxiTGRTljjDHGGGMS46KcMcYYY4wxiXFRzhhjjHWhL7/8ErNmzYJGo4FMJsOhQ4ce6vGbNm2CTCYzWvr06WOaBjPGugUuylm3kJGRAYVCgfDwcNH6a9euiT6UlEolfHx8sHnzZtz/vVdXr17FggUL4O7uDpVKBS8vL0RERCArK0uIuf8DztfXF9HR0cjOzjZLnox1N9HR0aJx4ezsjNDQUFy8eFGIISJ8/PHH0Gq1sLe3h1qtxrhx47Bt2zbU1tYCEBeSVlZWcHFxweTJk7Ft2zbU1dVJlZ4kfvrpJ4waNQo7duzo1ONXr16NkpIS0TJs2DA8//zzXdxS1h3dPyZbltDQUKmbxkyMi3LWLcTHx2PZsmX48ssvcfPmTaPtJ06cQElJCQoKCvDWW2/hz3/+MxISEoTtWVlZCAoKwrfffouPPvoIubm5SE5ORkBAAFatWiXaV2JiIkpKSnD58mXs2LEDer0eWq0Wu3btMnmejHVHoaGhQvGXmpoKKysrzJw5U9j+yiuvYMWKFZgzZw7S0tKg0+mwYcMGHD58GF988YUQN3z4cJSUlKC4uBhpaWl4/vnnERsbi4kTJ6KmpkaK1CQRFhaGzZs349lnn211e11dHVavXo3HHnsMffr0gVarRXp6urDd3t4erq6uwlJWVobc3FwsXLjQTBkwqd07JluWzz77TOpmMROzkroBjOn1euzbtw9ZWVkoLS1FUlIS1q9fL4pxdnaGq6srAMDT0xOJiYk4f/48Fi5cCCJCdHQ0fH19cfr0acjlv/yuOXr0aCxfvly0L7VaLexr8ODBmD59OqKiorB06VLMmjUL/fr1M3HGjHUvKpVKGBOurq544403MGnSJPz4449IS0vDnj17cOjQIcyZM0d4zODBgzF79mxUV1cL66ysrIT9aDQaBAYG4te//jVGjRqFv/zlL9i8ebN5E+umli5ditzcXOzduxcajQbJyckIDQ1FTk4OfH19jeL/8Y9/wM/PD5MmTZKgtUwK945J1nvwmXImuf379yMgIAD+/v54+eWXkZCQYHRpyr2ysrKQnZ0NrVYLANDpdLh8+TJWrVolKshbqNXqdtvwhz/8ATU1NUhJSel0Hoz1BHq9Hrt374aPjw+cnZ2xZ88e+Pv7iwryFjKZDI6Ojm3uLyAgAGFhYTh48KCpmmxRiouLkZiYiAMHDmDSpEnw9vbG6tWr8cQTTyAxMdEo/u7du9izZw+fJWesF+Az5Uxy8fHxePnllwE0/8muqqoKp06dwpNPPinETJw4EXK5HPX19WhoaMDixYsxf/58AEBBQQGA5g//zmp57LVr1zq9D8Ys1ZEjR2Bvbw+g+XpoNzc3HDlyBHK5HAUFBfD393+k/QcEBIguc+nNcnJy0NTUBD8/P9H6uro6ODs7G8UnJyejpqYGUVFR5moi6wbuHZMt1q9fb/RXZNazcFHOJJWfn4/MzEwkJycDaP7z97x58xAfHy8qyvft24ehQ4eioaEBly5dwrJly9CvXz/ExcW1eVa9o1r2IZPJHnlfjFmaqVOnYufOnQCA27dv4+9//zvCwsKQmZnZZeOLx1YzvV4PhUKB7OxsKBQK0bb7izCg+dKVmTNnYuDAgeZqIusG7h2TLZycnCRqDTMXLsqZpOLj49HY2AiNRiOsIyKoVCps375dWOfh4QEfHx8AwNChQ1FYWIgNGzZg06ZNwhmnK1euYMyYMZ1qR15eHgDAy8urs6kwZrH69OkjjC+guRB0dHTEJ598Aj8/P1y5cuWR9p+Xl8dj62djxoxBU1MTysvL271GvKioCGlpafj888/N1DrWXdw/JlnvwNeUM8k0NjZi165deO+996DT6YTlwoUL0Gg0bd5prlAo0NjYiPr6eowePRrDhg3De++9B4PBYBRbWVnZblu2bdsGBwcHhISEPEpKjPUIMpkMcrkcd+7cwUsvvYRvv/0Whw8fNoojIlRVVbW5rytXruD48eOYO3euqZrb7ej1euH9DGgurnU6HYqLi+Hn54fIyEjMnz8fBw8eRFFRETIzMxEbG4ujR4+K9pOQkAA3NzeEhYVJkAVjzNz4TDmTzJEjR3D79m0sXLjQ6GaxuXPnIj4+XpiXtaKiAqWlpWhsbEROTg7ef/99TJ06FQ4ODgCapzkMCQnBpEmT8Mc//hEBAQHQ6/X417/+hS+++AKnTp0S9l1ZWYnS0lLU1dUJUygeOnQIu3bt6tBNoYz1NHV1dSgtLQXQfPnK9u3bodfrMWvWLEyZMgXJycmIiIjAm2++ienTp6N///7IycnB1q1bsWzZMjzzzDMAmn/RLi0thcFgQEVFBdLT07F582aMHj0aa9askTBD88rKysLUqVOF/69cuRIAEBUVhaSkJCQmJmLz5s1YtWoVfvjhB7i4uODxxx8XTUNpMBiQlJSE6Ohoo8tcWM9375hs0TL/P+vBiDGJzJw5k55++ulWt507d44A0IULFwiAsCgUCnJ3d6dFixZReXm56DH5+fk0f/580mg0pFQqydPTkyIiIuj8+fNCzL37srGxIW9vb4qKiqLs7GyT5spYdxUVFSUaF3379qXx48fTP//5TyGmqamJdu7cSePHjyc7OztycHCgoKAgev/996m2tpaIiDZu3Cgap05OTvTEE0/Q1q1b6e7du1Klx5jFuX9Mtiz+/v5SN42ZmIyoC+7iYYwxxhhjjHUaX1POGGOMMcaYxLgoZ4wxxhhjTGJclDPGGGOMMSYxLsoZY4wxxhiTGBfljDHGGGOMSYyLcsYYY4wxxiTGRTljjDHGGGMS46KcMcYYY4wxiXFRzhhjjDHGmMS4KGeMMcYYY0xiXJQzxhhjjDEmMS7KGWOMMcYYk9j/A8DSpxHPF5eLAAAAAElFTkSuQmCC\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# add trend line\n",
        "z=np.polyfit(df['ABCD'], df['E'], 1)\n",
        "p=np.poly1d(z)\n",
        "plt.plot(df['ABCD'],p(df['ABCD']), \"g--\", alpha=0.8)\n",
        "plt.scatter(df['ABCD'],df['E'], alpha=0.6, color='purple')"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 447
        },
        "id": "oUYf7gSt6jqZ",
        "outputId": "67c0b7f7-af28-45ad-d903-77566344ca4d"
      },
      "execution_count": 44,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<matplotlib.collections.PathCollection at 0x7a88365d7a40>"
            ]
          },
          "metadata": {},
          "execution_count": 44
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    }
  ]
}