MeiroTask.ipynb

{
  "cells": [
    {
      "cell_type": "code",
      "source": [
        "!git clone https://github.com/Kranium2002/meiro_task.git"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "InuttBTzjIx3",
        "outputId": "52c2f1d2-5520-4fcd-8dee-d6d6c9bd6eab"
      },
      "execution_count": 65,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "fatal: destination path 'meiro_task' already exists and is not an empty directory.\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "metadata": {
        "id": "3Fcp2zylRurq"
      },
      "outputs": [],
      "source": [
        "import pandas as pd\n",
        "import numpy as np\n",
        "from sklearn.preprocessing import LabelEncoder\n",
        "from sklearn.cluster import KMeans\n",
        "import matplotlib.pyplot as plt\n",
        "import glob\n",
        "from sklearn.feature_selection import SelectKBest,f_regression"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "###**Initial Preprocessing**"
      ],
      "metadata": {
        "id": "2zkcAvFUAk5O"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "Loading all files"
      ],
      "metadata": {
        "id": "b_3RsTmD_5oO"
      }
    },
    {
      "cell_type": "code",
      "execution_count": 67,
      "metadata": {
        "id": "9_YFm-ySUnu-",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "c04730c9-871d-4ea7-b5de-c9b334f6c6a1"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "       driverId  tripId           startLocation  tripDistance  tripSpeed  \\\n",
            "0             1       0  [22.950475, 72.600508]           4.3      26.28   \n",
            "1             1       1  [23.053141, 72.600997]           3.3      22.72   \n",
            "2             1       2  [23.038868, 72.478913]           3.7      17.76   \n",
            "3             1       3  [22.973294, 72.503798]           8.6      23.14   \n",
            "4             1       4   [22.988351, 72.57377]           4.8      20.41   \n",
            "...         ...     ...                     ...           ...        ...   \n",
            "99012        19    2435  [22.959737, 72.514418]           6.3      26.02   \n",
            "99013        19    2436  [22.994559, 72.484047]           1.6      21.84   \n",
            "99014        19    2437  [22.960795, 72.533848]          12.7      25.88   \n",
            "99015        19    2438  [23.005314, 72.519584]           7.4      21.96   \n",
            "99016        19    2439  [22.961198, 72.612485]           2.6      21.71   \n",
            "\n",
            "       tripDuration             endLocation            startTime  tripFare  \\\n",
            "0                10  [22.977525, 72.629892]  2023-05-01T14:23:00        49   \n",
            "1                 9  [23.077102, 72.619235]  2023-05-01T18:13:00        39   \n",
            "2                12  [23.057751, 72.508226]  2023-05-01T22:33:00        43   \n",
            "3                22    [23.02796, 72.56321]  2023-05-01T22:51:00        92   \n",
            "4                14  [23.027855, 72.592882]  2023-05-02T22:47:00        54   \n",
            "...             ...                     ...                  ...       ...   \n",
            "99012            15  [22.992455, 72.565189]  2023-03-30T22:20:00        69   \n",
            "99013             4  [23.004924, 72.495308]  2023-03-30T22:46:00        22   \n",
            "99014            29  [22.960747, 72.657887]  2023-03-30T22:49:00       133   \n",
            "99015            20  [23.071636, 72.519584]  2023-03-31T22:23:00        80   \n",
            "99016             7  [22.972881, 72.634467]  2023-03-31T22:48:00        32   \n",
            "\n",
            "      paymentType              endTime  \n",
            "0             upi  2023-05-01T14:32:00  \n",
            "1            cash  2023-05-01T18:21:00  \n",
            "2            cash  2023-05-01T22:45:00  \n",
            "3             upi  2023-05-01T23:13:00  \n",
            "4            cash  2023-05-02T23:01:00  \n",
            "...           ...                  ...  \n",
            "99012        cash  2023-03-30T22:34:00  \n",
            "99013        cash  2023-03-30T22:50:00  \n",
            "99014        cash  2023-03-30T23:18:00  \n",
            "99015        cash  2023-03-31T22:43:00  \n",
            "99016        cash  2023-03-31T22:55:00  \n",
            "\n",
            "[99017 rows x 11 columns]\n"
          ]
        }
      ],
      "source": [
        "# Get a list of all JSON files in the directory\n",
        "json_files = glob.glob('/content/meiro_task/DataJan2022Jul2023/*.json')\n",
        "\n",
        "# Create an empty list to store individual DataFrames\n",
        "dataframes = []\n",
        "\n",
        "# Loop through each JSON file and load it into a DataFrame\n",
        "for file in json_files:\n",
        "    df = pd.read_json(file)\n",
        "    dataframes.append(df)\n",
        "\n",
        "# Merge all DataFrames into a single DataFrame\n",
        "merged_df = pd.concat(dataframes, ignore_index=True)\n",
        "\n",
        "# Display the merged DataFrame\n",
        "print(merged_df)\n",
        "\n",
        "merged_df['startTime'] = pd.to_datetime(merged_df['startTime'])\n",
        "merged_df['endTime'] = pd.to_datetime(merged_df['endTime'])"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 68,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "wcpSJSJzU2Ah",
        "outputId": "f677b206-17f1-4cb4-8936-48ea783dd4bb"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "99"
            ]
          },
          "metadata": {},
          "execution_count": 68
        }
      ],
      "source": [
        "len(merged_df['driverId'].unique())"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 69,
      "metadata": {
        "id": "lQmYILGaU3IA"
      },
      "outputs": [],
      "source": [
        "# Set 'startTime' as the index\n",
        "merged_df.set_index('startTime', inplace=True)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 70,
      "metadata": {
        "id": "V0CAVdO6XkUz"
      },
      "outputs": [],
      "source": [
        "merged_df['paymentType']=pd.get_dummies(merged_df['paymentType'])['cash']\n",
        "#1-cash 0-upi"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "###**Trying to calculate demand only on the basis of number of drivers active within 15 minutes of time interval. This could be incorrect as demand is also based on an area so, another approach is used further.**"
      ],
      "metadata": {
        "id": "J2qX2LPD__hA"
      }
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "RgbHs2poZ7pT"
      },
      "outputs": [],
      "source": [
        "# Resample the data using a 15-minute interval and count the number of trips\n",
        "demand = merged_df.resample('15min').size()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "EblDTYPhfRJf",
        "outputId": "84f2e4d9-a6b5-4701-928e-69ea19adbcb4"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([ 1,  1,  0, ...,  9,  7, 14])"
            ]
          },
          "metadata": {},
          "execution_count": 10
        }
      ],
      "source": [
        "demand.values"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 472
        },
        "id": "U54zBaNAfkr_",
        "outputId": "65351ab8-dc30-47b1-9865-e8f8e1a8c84d"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "# Plot the demand\n",
        "plt.plot(demand)\n",
        "plt.xlabel('Time')\n",
        "plt.ylabel('Demand')\n",
        "plt.title('Demand for 15-Minute Intervals')\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "Ljq_xA10g8KX",
        "outputId": "6497bbcd-7964-457f-c034-f203a699f4d5"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "<ipython-input-12-720fc0d77345>:1: FutureWarning: The default value of numeric_only in DataFrameGroupBy.mean is deprecated. In a future version, numeric_only will default to False. Either specify numeric_only or select only columns which should be valid for the function.\n",
            "  df = merged_df.resample('15min').mean()\n"
          ]
        }
      ],
      "source": [
        "df = merged_df.resample('15min').mean()\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 281
        },
        "id": "XbVcK51Fo-I8",
        "outputId": "2883217b-afbd-404b-9929-c80ac54a0ff6"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                     driverId  tripId           startLocation  tripDistance  \\\n",
              "startTime                                                                     \n",
              "2022-01-01 06:35:00        32    3915  [23.026471, 72.559203]           4.6   \n",
              "2022-01-01 06:59:00         4     372  [22.967401, 72.539526]          12.1   \n",
              "2022-01-01 07:41:00        36    4388  [22.952247, 72.503346]           4.4   \n",
              "2022-01-01 07:47:00         2     132  [23.050909, 72.590623]           7.9   \n",
              "2022-01-01 08:47:00         6     633   [23.087811, 72.48291]           2.1   \n",
              "\n",
              "                     tripSpeed  tripDuration             endLocation  \\\n",
              "startTime                                                              \n",
              "2022-01-01 06:35:00      21.84            13  [23.050286, 72.596172]   \n",
              "2022-01-01 06:59:00      20.41            36  [23.076577, 72.539526]   \n",
              "2022-01-01 07:41:00      25.38            10   [22.974687, 72.53816]   \n",
              "2022-01-01 07:47:00      23.15            20  [23.115559, 72.621921]   \n",
              "2022-01-01 08:47:00      16.50             8  [23.097227, 72.500642]   \n",
              "\n",
              "                     tripFare  paymentType             endTime  \n",
              "startTime                                                       \n",
              "2022-01-01 06:35:00        52            0 2022-01-01 06:47:00  \n",
              "2022-01-01 06:59:00       127            1 2022-01-01 07:34:00  \n",
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              "2022-01-01 07:47:00        85            0 2022-01-01 08:07:00  \n",
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              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 13
        }
      ],
      "source": [
        "merged_df.sort_values(by='startTime').head()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
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          "height": 455
        },
        "id": "4VKkdRj0jQX1",
        "outputId": "36d3d6da-542d-48ca-8da9-54f0983f7464"
      },
      "outputs": [
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              "                      driverId       tripId  tripDistance  tripSpeed  \\\n",
              "startTime                                                              \n",
              "2022-01-01 06:30:00  32.000000  3915.000000      4.600000  21.840000   \n",
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              "\n",
              "                     tripDuration    tripFare  paymentType  \n",
              "startTime                                                   \n",
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              "      <th>2022-01-02 06:30:00</th>\n",
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              "<p>100 rows × 7 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-ce8f977a-b210-49a7-b4f1-cc07047b491f')\"\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 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M0 0h24v24H0V0z\" fill=\"none\"/>\n",
              "    <path d=\"M18.56 5.44l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94zm-11 1L8.5 8.5l.94-2.06 2.06-.94-2.06-.94L8.5 2.5l-.94 2.06-2.06.94zm10 10l.94 2.06.94-2.06 2.06-.94-2.06-.94-.94-2.06-.94 2.06-2.06.94z\"/><path d=\"M17.41 7.96l-1.37-1.37c-.4-.4-.92-.59-1.43-.59-.52 0-1.04.2-1.43.59L10.3 9.45l-7.72 7.72c-.78.78-.78 2.05 0 2.83L4 21.41c.39.39.9.59 1.41.59.51 0 1.02-.2 1.41-.59l7.78-7.78 2.81-2.81c.8-.78.8-2.07 0-2.86zM5.41 20L4 18.59l7.72-7.72 1.47 1.35L5.41 20z\"/>\n",
              "  </svg>\n",
              "      </button>\n",
              "\n",
              "\n",
              "\n",
              "    <div id=\"df-243f3720-9b6d-41fb-a4ff-9014abed61d2\">\n",
              "      <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-243f3720-9b6d-41fb-a4ff-9014abed61d2')\"\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",
              "    </div>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\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-quickchart:hover {\n",
              "    background-color: #E2EBFA;\n",
              "    box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: #174EA6;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "    background-color: #3B4455;\n",
              "    fill: #D2E3FC;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart: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",
              "      async function quickchart(key) {\n",
              "        const containerElement = document.querySelector('#' + key);\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      }\n",
              "    </script>\n",
              "\n",
              "      <script>\n",
              "\n",
              "function displayQuickchartButton(domScope) {\n",
              "  let quickchartButtonEl =\n",
              "    domScope.querySelector('#df-243f3720-9b6d-41fb-a4ff-9014abed61d2 button.colab-df-quickchart');\n",
              "  quickchartButtonEl.style.display =\n",
              "    google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "}\n",
              "\n",
              "        displayQuickchartButton(document);\n",
              "      </script>\n",
              "      <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\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",
              "    [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-ce8f977a-b210-49a7-b4f1-cc07047b491f 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-ce8f977a-b210-49a7-b4f1-cc07047b491f');\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",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 14
        }
      ],
      "source": [
        "df.head(100)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "znA_KGs_nryh"
      },
      "outputs": [],
      "source": [
        "df_cleaned = df.dropna()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "s1nOsgVSq96S",
        "outputId": "e305d13d-fe11-425e-a64f-31e333e51309"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "<ipython-input-17-eb218c014083>:1: SettingWithCopyWarning: \n",
            "A value is trying to be set on a copy of a slice from a DataFrame.\n",
            "Try using .loc[row_indexer,col_indexer] = value instead\n",
            "\n",
            "See the caveats in the documentation: https://pandas.pydata.org/pandas-docs/stable/user_guide/indexing.html#returning-a-view-versus-a-copy\n",
            "  df_cleaned['demand']=demand\n"
          ]
        }
      ],
      "source": [
        "df_cleaned['demand']=demand"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "demand"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 455
        },
        "id": "tNwqcNWh_1Xr",
        "outputId": "fa3c2a84-90a0-4792-b329-7297c0070ef0"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                     Zone  driverId\n",
              "startTime                          \n",
              "2022-01-01 06:30:00  65.0         1\n",
              "2022-01-01 06:45:00  17.0         1\n",
              "2022-01-01 07:30:00  19.0         1\n",
              "2022-01-01 07:45:00   2.0         1\n",
              "2022-01-01 08:45:00  40.0         2\n",
              "...                   ...       ...\n",
              "2023-08-01 07:45:00   5.0         2\n",
              "2023-08-01 08:00:00  19.0         4\n",
              "2023-08-01 08:15:00  70.0         9\n",
              "2023-08-01 08:30:00  76.0         6\n",
              "2023-08-01 08:45:00  85.0        13\n",
              "\n",
              "[26049 rows x 2 columns]"
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              "      <th></th>\n",
              "      <th>Zone</th>\n",
              "      <th>driverId</th>\n",
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              "    <tr>\n",
              "      <th>startTime</th>\n",
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              "      <th>2022-01-01 06:30:00</th>\n",
              "      <td>65.0</td>\n",
              "      <td>1</td>\n",
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              "    <tr>\n",
              "      <th>2022-01-01 06:45:00</th>\n",
              "      <td>17.0</td>\n",
              "      <td>1</td>\n",
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              "    <tr>\n",
              "      <th>2022-01-01 07:30:00</th>\n",
              "      <td>19.0</td>\n",
              "      <td>1</td>\n",
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              "    <tr>\n",
              "      <th>2022-01-01 07:45:00</th>\n",
              "      <td>2.0</td>\n",
              "      <td>1</td>\n",
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              "      <th>2022-01-01 08:45:00</th>\n",
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              "      <th>2023-08-01 07:45:00</th>\n",
              "      <td>5.0</td>\n",
              "      <td>2</td>\n",
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              "    <tr>\n",
              "      <th>2023-08-01 08:00:00</th>\n",
              "      <td>19.0</td>\n",
              "      <td>4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2023-08-01 08:15:00</th>\n",
              "      <td>70.0</td>\n",
              "      <td>9</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2023-08-01 08:30:00</th>\n",
              "      <td>76.0</td>\n",
              "      <td>6</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2023-08-01 08:45:00</th>\n",
              "      <td>85.0</td>\n",
              "      <td>13</td>\n",
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              "  </tbody>\n",
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              "<p>26049 rows × 2 columns</p>\n",
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              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-11aa459b-fd9f-4cf3-8b9b-817d17ba365f')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
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              "  </svg>\n",
              "      </button>\n",
              "\n",
              "\n",
              "\n",
              "    <div id=\"df-7c4e50d3-7993-4bcf-bdad-eb724f728ef6\">\n",
              "      <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-7c4e50d3-7993-4bcf-bdad-eb724f728ef6')\"\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",
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              "    </g>\n",
              "</svg>\n",
              "      </button>\n",
              "    </div>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\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-quickchart:hover {\n",
              "    background-color: #E2EBFA;\n",
              "    box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: #174EA6;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "    background-color: #3B4455;\n",
              "    fill: #D2E3FC;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart: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",
              "      async function quickchart(key) {\n",
              "        const containerElement = document.querySelector('#' + key);\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      }\n",
              "    </script>\n",
              "\n",
              "      <script>\n",
              "\n",
              "function displayQuickchartButton(domScope) {\n",
              "  let quickchartButtonEl =\n",
              "    domScope.querySelector('#df-7c4e50d3-7993-4bcf-bdad-eb724f728ef6 button.colab-df-quickchart');\n",
              "  quickchartButtonEl.style.display =\n",
              "    google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "}\n",
              "\n",
              "        displayQuickchartButton(document);\n",
              "      </script>\n",
              "      <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\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",
              "    [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-11aa459b-fd9f-4cf3-8b9b-817d17ba365f 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-11aa459b-fd9f-4cf3-8b9b-817d17ba365f');\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",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 119
        }
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ItrzqAZyW2dC"
      },
      "source": [
        "###**Trying to cluster rides into zones of cab pickup based on startLocation to calculate demand for a particular zone of area to calculate Zone based demand**"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 71,
      "metadata": {
        "id": "7peVZB4aYJMF"
      },
      "outputs": [],
      "source": [
        "# Split the 'Location' column into separate 'X' and 'Y' columns\n",
        "merged_df[['X', 'Y']] = merged_df['startLocation'].apply(lambda loc: pd.Series({'X': loc[0], 'Y': loc[1]}))\n"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "I2QhwhV9aG5b"
      },
      "source": [
        "Using inertia to calculate best amount of clusters for the given dataset"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "CPD4NIh-a9sO"
      },
      "outputs": [],
      "source": [
        "from tqdm import tqdm"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import warnings\n",
        "warnings.filterwarnings('ignore')"
      ],
      "metadata": {
        "id": "kELAwBnEc6h2"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 490
        },
        "id": "yFUrJUI9tFFB",
        "outputId": "dcfec40d-a9dd-403c-91d0-e02c6836c6b4"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "100%|██████████| 150/150 [45:28<00:00, 18.19s/it]\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "# Calculate the within-cluster sum of squares (WCSS) for different cluster numbers\n",
        "wcss = []\n",
        "max_clusters = 150\n",
        "\n",
        "for n_clusters in tqdm(range(1, max_clusters + 1)):\n",
        "      kmeans = KMeans(n_clusters=n_clusters, random_state=42)\n",
        "      kmeans.fit(merged_df[['X','Y']])\n",
        "      wcss.append(kmeans.inertia_)\n",
        "\n",
        "# Plot the number of clusters against the WCSS values\n",
        "plt.plot(range(1, max_clusters + 1), wcss, marker='o')\n",
        "plt.xlabel('Number of Clusters')\n",
        "plt.ylabel('WCSS')\n",
        "plt.title('Elbow Method')\n",
        "plt.show()\n"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "In above graph we see that inertia stabilizes after 50 clusters so we use 50 clusters as optimum as it would mean we are dividing ahemdabad into area of approx 10km square for each zone"
      ],
      "metadata": {
        "id": "fjBvxC5GghiJ"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Choose the optimal number of zones based on the Elbow Method\n",
        "optimal_zones = 50  # Select the number of zones where the elbow occurs\n",
        "\n",
        "# Fit the K-means clustering with the optimal number of zones\n",
        "kmeans = KMeans(n_clusters=optimal_zones, random_state=42)\n",
        "kmeans.fit(merged_df[['X','Y']])\n",
        "\n",
        "# Assign the zone labels to the original DataFrame\n",
        "merged_df['Zone'] = kmeans.labels_"
      ],
      "metadata": {
        "id": "XOy9Gyk-gvpK",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "9e0ca47b-8227-4733-e5f5-8aacb0936578"
      },
      "execution_count": 107,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/sklearn/cluster/_kmeans.py:870: FutureWarning: The default value of `n_init` will change from 10 to 'auto' in 1.4. Set the value of `n_init` explicitly to suppress the warning\n",
            "  warnings.warn(\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Get the coordinates of the cluster centroids\n",
        "centroids = kmeans.cluster_centers_"
      ],
      "metadata": {
        "id": "GGv-ZWlz3kdQ"
      },
      "execution_count": 108,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "!pip install folium"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "hTOe4ON34eyo",
        "outputId": "2b13d24f-0277-4756-f38a-a22eec9d61ff"
      },
      "execution_count": 109,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Requirement already satisfied: folium in /usr/local/lib/python3.10/dist-packages (0.14.0)\n",
            "Requirement already satisfied: branca>=0.6.0 in /usr/local/lib/python3.10/dist-packages (from folium) (0.6.0)\n",
            "Requirement already satisfied: jinja2>=2.9 in /usr/local/lib/python3.10/dist-packages (from folium) (3.1.2)\n",
            "Requirement already satisfied: numpy in /usr/local/lib/python3.10/dist-packages (from folium) (1.22.4)\n",
            "Requirement already satisfied: requests in /usr/local/lib/python3.10/dist-packages (from folium) (2.27.1)\n",
            "Requirement already satisfied: MarkupSafe>=2.0 in /usr/local/lib/python3.10/dist-packages (from jinja2>=2.9->folium) (2.1.3)\n",
            "Requirement already satisfied: urllib3<1.27,>=1.21.1 in /usr/local/lib/python3.10/dist-packages (from requests->folium) (1.26.16)\n",
            "Requirement already satisfied: certifi>=2017.4.17 in /usr/local/lib/python3.10/dist-packages (from requests->folium) (2023.5.7)\n",
            "Requirement already satisfied: charset-normalizer~=2.0.0 in /usr/local/lib/python3.10/dist-packages (from requests->folium) (2.0.12)\n",
            "Requirement already satisfied: idna<4,>=2.5 in /usr/local/lib/python3.10/dist-packages (from requests->folium) (3.4)\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import folium"
      ],
      "metadata": {
        "id": "RqcmzMQ66jGF"
      },
      "execution_count": 110,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "x = centroids[:, 0]\n",
        "y = centroids[:, 1]\n",
        "loca = pd.DataFrame({'lat': x, 'lon': y})"
      ],
      "metadata": {
        "id": "nqwy2MgX4oWv"
      },
      "execution_count": 111,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "len(loca)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "E-bAARjDIYWm",
        "outputId": "3c9cd33d-8d09-4ea5-c66a-16e206028dbb"
      },
      "execution_count": 112,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "50"
            ]
          },
          "metadata": {},
          "execution_count": 112
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "map_new=folium.Map()\n",
        "list_coor=loca[['lat','lon']].values.tolist()\n",
        "for i in list_coor:\n",
        "    map_new.add_child(folium.Marker(location=[i[0],i[1]],\n",
        "                                popup=i[0],icon=folium.Icon(color='green')))\n",
        "map_new"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 787
        },
        "id": "C-pZNYLc4bC9",
        "outputId": "8546ea81-75f2-4713-d39b-71c60494382c"
      },
      "execution_count": 113,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<folium.folium.Map at 0x7e1ce415c940>"
            ],
            "text/html": [
              "<div style=\"width:100%;\"><div style=\"position:relative;width:100%;height:0;padding-bottom:60%;\"><span style=\"color:#565656\">Make this Notebook Trusted to load map: File -> Trust Notebook</span><iframe srcdoc=\"&lt;!DOCTYPE html&gt;\n",
              "&lt;html&gt;\n",
              "&lt;head&gt;\n",
              "    \n",
              "    &lt;meta http-equiv=&quot;content-type&quot; content=&quot;text/html; charset=UTF-8&quot; /&gt;\n",
              "    \n",
              "        &lt;script&gt;\n",
              "            L_NO_TOUCH = false;\n",
              "            L_DISABLE_3D = false;\n",
              "        &lt;/script&gt;\n",
              "    \n",
              "    &lt;style&gt;html, body {width: 100%;height: 100%;margin: 0;padding: 0;}&lt;/style&gt;\n",
              "    &lt;style&gt;#map {position:absolute;top:0;bottom:0;right:0;left:0;}&lt;/style&gt;\n",
              "    &lt;script src=&quot;https://cdn.jsdelivr.net/npm/leaflet@1.9.3/dist/leaflet.js&quot;&gt;&lt;/script&gt;\n",
              "    &lt;script src=&quot;https://code.jquery.com/jquery-1.12.4.min.js&quot;&gt;&lt;/script&gt;\n",
              "    &lt;script src=&quot;https://cdn.jsdelivr.net/npm/bootstrap@5.2.2/dist/js/bootstrap.bundle.min.js&quot;&gt;&lt;/script&gt;\n",
              "    &lt;script src=&quot;https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.js&quot;&gt;&lt;/script&gt;\n",
              "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdn.jsdelivr.net/npm/leaflet@1.9.3/dist/leaflet.css&quot;/&gt;\n",
              "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdn.jsdelivr.net/npm/bootstrap@5.2.2/dist/css/bootstrap.min.css&quot;/&gt;\n",
              "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://netdna.bootstrapcdn.com/bootstrap/3.0.0/css/bootstrap.min.css&quot;/&gt;\n",
              "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdn.jsdelivr.net/npm/@fortawesome/fontawesome-free@6.2.0/css/all.min.css&quot;/&gt;\n",
              "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdnjs.cloudflare.com/ajax/libs/Leaflet.awesome-markers/2.0.2/leaflet.awesome-markers.css&quot;/&gt;\n",
              "    &lt;link rel=&quot;stylesheet&quot; href=&quot;https://cdn.jsdelivr.net/gh/python-visualization/folium/folium/templates/leaflet.awesome.rotate.min.css&quot;/&gt;\n",
              "    \n",
              "            &lt;meta name=&quot;viewport&quot; content=&quot;width=device-width,\n",
              "                initial-scale=1.0, maximum-scale=1.0, user-scalable=no&quot; /&gt;\n",
              "            &lt;style&gt;\n",
              "                #map_4f91d7f65f716519cf38f97bf913f3df {\n",
              "                    position: relative;\n",
              "                    width: 100.0%;\n",
              "                    height: 100.0%;\n",
              "                    left: 0.0%;\n",
              "                    top: 0.0%;\n",
              "                }\n",
              "                .leaflet-container { font-size: 1rem; }\n",
              "            &lt;/style&gt;\n",
              "        \n",
              "&lt;/head&gt;\n",
              "&lt;body&gt;\n",
              "    \n",
              "    \n",
              "            &lt;div class=&quot;folium-map&quot; id=&quot;map_4f91d7f65f716519cf38f97bf913f3df&quot; &gt;&lt;/div&gt;\n",
              "        \n",
              "&lt;/body&gt;\n",
              "&lt;script&gt;\n",
              "    \n",
              "    \n",
              "            var map_4f91d7f65f716519cf38f97bf913f3df = L.map(\n",
              "                &quot;map_4f91d7f65f716519cf38f97bf913f3df&quot;,\n",
              "                {\n",
              "                    center: [0, 0],\n",
              "                    crs: L.CRS.EPSG3857,\n",
              "                    zoom: 1,\n",
              "                    zoomControl: true,\n",
              "                    preferCanvas: false,\n",
              "                }\n",
              "            );\n",
              "\n",
              "            \n",
              "\n",
              "        \n",
              "    \n",
              "            var tile_layer_0718595b32accb9e1d57ae066de62680 = L.tileLayer(\n",
              "                &quot;https://{s}.tile.openstreetmap.org/{z}/{x}/{y}.png&quot;,\n",
              "                {&quot;attribution&quot;: &quot;Data by \\u0026copy; \\u003ca target=\\&quot;_blank\\&quot; href=\\&quot;http://openstreetmap.org\\&quot;\\u003eOpenStreetMap\\u003c/a\\u003e, under \\u003ca target=\\&quot;_blank\\&quot; href=\\&quot;http://www.openstreetmap.org/copyright\\&quot;\\u003eODbL\\u003c/a\\u003e.&quot;, &quot;detectRetina&quot;: false, &quot;maxNativeZoom&quot;: 18, &quot;maxZoom&quot;: 18, &quot;minZoom&quot;: 0, &quot;noWrap&quot;: false, &quot;opacity&quot;: 1, &quot;subdomains&quot;: &quot;abc&quot;, &quot;tms&quot;: false}\n",
              "            ).addTo(map_4f91d7f65f716519cf38f97bf913f3df);\n",
              "        \n",
              "    \n",
              "            var marker_b8dc6d63870697f3acf9f725baa2b3bb = L.marker(\n",
              "                [22.93306753799698, 72.5975511751384],\n",
              "                {}\n",
              "            ).addTo(map_4f91d7f65f716519cf38f97bf913f3df);\n",
              "        \n",
              "    \n",
              "            var icon_8754e0a86b441eefa52856ea004b3c3b = L.AwesomeMarkers.icon(\n",
              "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;green&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n",
              "            );\n",
              "            marker_b8dc6d63870697f3acf9f725baa2b3bb.setIcon(icon_8754e0a86b441eefa52856ea004b3c3b);\n",
              "        \n",
              "    \n",
              "        var popup_996f9acf2bb27fa5503c524ad9311793 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
              "\n",
              "        \n",
              "            \n",
              "                var html_8442c7a9ae26130b1654eba32a114d14 = $(`&lt;div id=&quot;html_8442c7a9ae26130b1654eba32a114d14&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;22.93306753799698&lt;/div&gt;`)[0];\n",
              "                popup_996f9acf2bb27fa5503c524ad9311793.setContent(html_8442c7a9ae26130b1654eba32a114d14);\n",
              "            \n",
              "        \n",
              "\n",
              "        marker_b8dc6d63870697f3acf9f725baa2b3bb.bindPopup(popup_996f9acf2bb27fa5503c524ad9311793)\n",
              "        ;\n",
              "\n",
              "        \n",
              "    \n",
              "    \n",
              "            var marker_8c0ac22c3e08a5ad25afa44580c44360 = L.marker(\n",
              "                [23.030773886534217, 72.50950820838852],\n",
              "                {}\n",
              "            ).addTo(map_4f91d7f65f716519cf38f97bf913f3df);\n",
              "        \n",
              "    \n",
              "            var icon_20fee16b4727f819ea70a7f7a75eaa07 = L.AwesomeMarkers.icon(\n",
              "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;green&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n",
              "            );\n",
              "            marker_8c0ac22c3e08a5ad25afa44580c44360.setIcon(icon_20fee16b4727f819ea70a7f7a75eaa07);\n",
              "        \n",
              "    \n",
              "        var popup_a0b22cf6086514dd4ff4bf982254c66f = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
              "\n",
              "        \n",
              "            \n",
              "                var html_e0c732e344a8217ed3fa5993f05ec3b7 = $(`&lt;div id=&quot;html_e0c732e344a8217ed3fa5993f05ec3b7&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;23.030773886534217&lt;/div&gt;`)[0];\n",
              "                popup_a0b22cf6086514dd4ff4bf982254c66f.setContent(html_e0c732e344a8217ed3fa5993f05ec3b7);\n",
              "            \n",
              "        \n",
              "\n",
              "        marker_8c0ac22c3e08a5ad25afa44580c44360.bindPopup(popup_a0b22cf6086514dd4ff4bf982254c66f)\n",
              "        ;\n",
              "\n",
              "        \n",
              "    \n",
              "    \n",
              "            var marker_d3ccf1914e15d460660032b0379c8a68 = L.marker(\n",
              "                [22.976043407957814, 72.57058484563758],\n",
              "                {}\n",
              "            ).addTo(map_4f91d7f65f716519cf38f97bf913f3df);\n",
              "        \n",
              "    \n",
              "            var icon_8a87ce4af2bcb8e97f40bf93bffe483d = L.AwesomeMarkers.icon(\n",
              "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;green&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n",
              "            );\n",
              "            marker_d3ccf1914e15d460660032b0379c8a68.setIcon(icon_8a87ce4af2bcb8e97f40bf93bffe483d);\n",
              "        \n",
              "    \n",
              "        var popup_6d5cf9d653ea8f2e1c7a2548f8d67e8e = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
              "\n",
              "        \n",
              "            \n",
              "                var html_ef79ceb15159b2978f8c3bd1eb857bae = $(`&lt;div id=&quot;html_ef79ceb15159b2978f8c3bd1eb857bae&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;22.976043407957814&lt;/div&gt;`)[0];\n",
              "                popup_6d5cf9d653ea8f2e1c7a2548f8d67e8e.setContent(html_ef79ceb15159b2978f8c3bd1eb857bae);\n",
              "            \n",
              "        \n",
              "\n",
              "        marker_d3ccf1914e15d460660032b0379c8a68.bindPopup(popup_6d5cf9d653ea8f2e1c7a2548f8d67e8e)\n",
              "        ;\n",
              "\n",
              "        \n",
              "    \n",
              "    \n",
              "            var marker_0eec1b0fe7cbcebddb80f6e6210002b6 = L.marker(\n",
              "                [23.028696827334084, 72.61482470022497],\n",
              "                {}\n",
              "            ).addTo(map_4f91d7f65f716519cf38f97bf913f3df);\n",
              "        \n",
              "    \n",
              "            var icon_88c55f6378ab905c41f611570842e014 = L.AwesomeMarkers.icon(\n",
              "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;green&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n",
              "            );\n",
              "            marker_0eec1b0fe7cbcebddb80f6e6210002b6.setIcon(icon_88c55f6378ab905c41f611570842e014);\n",
              "        \n",
              "    \n",
              "        var popup_e046febaabdc344b2ef3321cdc7b9ee7 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
              "\n",
              "        \n",
              "            \n",
              "                var html_c02e044a5ca62e24427f80eb2fccb642 = $(`&lt;div id=&quot;html_c02e044a5ca62e24427f80eb2fccb642&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;23.028696827334084&lt;/div&gt;`)[0];\n",
              "                popup_e046febaabdc344b2ef3321cdc7b9ee7.setContent(html_c02e044a5ca62e24427f80eb2fccb642);\n",
              "            \n",
              "        \n",
              "\n",
              "        marker_0eec1b0fe7cbcebddb80f6e6210002b6.bindPopup(popup_e046febaabdc344b2ef3321cdc7b9ee7)\n",
              "        ;\n",
              "\n",
              "        \n",
              "    \n",
              "    \n",
              "            var marker_b6ad62f5ae97322fd2c200debcc23c6c = L.marker(\n",
              "                [22.978622225956382, 72.51881339756882],\n",
              "                {}\n",
              "            ).addTo(map_4f91d7f65f716519cf38f97bf913f3df);\n",
              "        \n",
              "    \n",
              "            var icon_b774df8b768b2a4c7cafd395509c2764 = L.AwesomeMarkers.icon(\n",
              "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;green&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n",
              "            );\n",
              "            marker_b6ad62f5ae97322fd2c200debcc23c6c.setIcon(icon_b774df8b768b2a4c7cafd395509c2764);\n",
              "        \n",
              "    \n",
              "        var popup_fe9741e4205dccc17b7255fb816b247d = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
              "\n",
              "        \n",
              "            \n",
              "                var html_17292a02d9e98026ededb774ef3550d0 = $(`&lt;div id=&quot;html_17292a02d9e98026ededb774ef3550d0&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;22.978622225956382&lt;/div&gt;`)[0];\n",
              "                popup_fe9741e4205dccc17b7255fb816b247d.setContent(html_17292a02d9e98026ededb774ef3550d0);\n",
              "            \n",
              "        \n",
              "\n",
              "        marker_b6ad62f5ae97322fd2c200debcc23c6c.bindPopup(popup_fe9741e4205dccc17b7255fb816b247d)\n",
              "        ;\n",
              "\n",
              "        \n",
              "    \n",
              "    \n",
              "            var marker_d5249b0f7e7fd75fbe20ea86fd6f749a = L.marker(\n",
              "                [23.10622310708783, 72.535945192604],\n",
              "                {}\n",
              "            ).addTo(map_4f91d7f65f716519cf38f97bf913f3df);\n",
              "        \n",
              "    \n",
              "            var icon_4a90e40a4bd9e383859b4f8567dfd791 = L.AwesomeMarkers.icon(\n",
              "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;green&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n",
              "            );\n",
              "            marker_d5249b0f7e7fd75fbe20ea86fd6f749a.setIcon(icon_4a90e40a4bd9e383859b4f8567dfd791);\n",
              "        \n",
              "    \n",
              "        var popup_7cbe9d5a20aab6897affe3f7876dc0b5 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
              "\n",
              "        \n",
              "            \n",
              "                var html_3ef21386d582193e58eacda4752864e6 = $(`&lt;div id=&quot;html_3ef21386d582193e58eacda4752864e6&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;23.10622310708783&lt;/div&gt;`)[0];\n",
              "                popup_7cbe9d5a20aab6897affe3f7876dc0b5.setContent(html_3ef21386d582193e58eacda4752864e6);\n",
              "            \n",
              "        \n",
              "\n",
              "        marker_d5249b0f7e7fd75fbe20ea86fd6f749a.bindPopup(popup_7cbe9d5a20aab6897affe3f7876dc0b5)\n",
              "        ;\n",
              "\n",
              "        \n",
              "    \n",
              "    \n",
              "            var marker_d93a3ab0e835062c9355a4be64bb66ae = L.marker(\n",
              "                [23.046605653588944, 72.56545125724476],\n",
              "                {}\n",
              "            ).addTo(map_4f91d7f65f716519cf38f97bf913f3df);\n",
              "        \n",
              "    \n",
              "            var icon_25473d021a973a50c7afac7e90f2cad0 = L.AwesomeMarkers.icon(\n",
              "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;green&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n",
              "            );\n",
              "            marker_d93a3ab0e835062c9355a4be64bb66ae.setIcon(icon_25473d021a973a50c7afac7e90f2cad0);\n",
              "        \n",
              "    \n",
              "        var popup_7279301f199b7796d9ae2ed8d04fb393 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
              "\n",
              "        \n",
              "            \n",
              "                var html_5c3d5930706def304a45327527acd073 = $(`&lt;div id=&quot;html_5c3d5930706def304a45327527acd073&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;23.046605653588944&lt;/div&gt;`)[0];\n",
              "                popup_7279301f199b7796d9ae2ed8d04fb393.setContent(html_5c3d5930706def304a45327527acd073);\n",
              "            \n",
              "        \n",
              "\n",
              "        marker_d93a3ab0e835062c9355a4be64bb66ae.bindPopup(popup_7279301f199b7796d9ae2ed8d04fb393)\n",
              "        ;\n",
              "\n",
              "        \n",
              "    \n",
              "    \n",
              "            var marker_30d23bb1f9f54fff2a422433c201d993 = L.marker(\n",
              "                [22.999569140063848, 72.53784136831604],\n",
              "                {}\n",
              "            ).addTo(map_4f91d7f65f716519cf38f97bf913f3df);\n",
              "        \n",
              "    \n",
              "            var icon_7eee5d033cfe28f32f6160d71f3106de = L.AwesomeMarkers.icon(\n",
              "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;green&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n",
              "            );\n",
              "            marker_30d23bb1f9f54fff2a422433c201d993.setIcon(icon_7eee5d033cfe28f32f6160d71f3106de);\n",
              "        \n",
              "    \n",
              "        var popup_644fe00ea58a1369eba46ed2bff08717 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
              "\n",
              "        \n",
              "            \n",
              "                var html_d8908367c059e31d9e2cf2b3938052ec = $(`&lt;div id=&quot;html_d8908367c059e31d9e2cf2b3938052ec&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;22.999569140063848&lt;/div&gt;`)[0];\n",
              "                popup_644fe00ea58a1369eba46ed2bff08717.setContent(html_d8908367c059e31d9e2cf2b3938052ec);\n",
              "            \n",
              "        \n",
              "\n",
              "        marker_30d23bb1f9f54fff2a422433c201d993.bindPopup(popup_644fe00ea58a1369eba46ed2bff08717)\n",
              "        ;\n",
              "\n",
              "        \n",
              "    \n",
              "    \n",
              "            var marker_dca45cfd8a51fa8c7fa4e0abb8393df4 = L.marker(\n",
              "                [22.932435319113342, 72.5446325215391],\n",
              "                {}\n",
              "            ).addTo(map_4f91d7f65f716519cf38f97bf913f3df);\n",
              "        \n",
              "    \n",
              "            var icon_bc28ba4ce38616f8120ef4033ae00fb4 = L.AwesomeMarkers.icon(\n",
              "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;green&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n",
              "            );\n",
              "            marker_dca45cfd8a51fa8c7fa4e0abb8393df4.setIcon(icon_bc28ba4ce38616f8120ef4033ae00fb4);\n",
              "        \n",
              "    \n",
              "        var popup_dd98be95b99d1714f1ccf5e373dd2313 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
              "\n",
              "        \n",
              "            \n",
              "                var html_39ded3d23bfcc81315a871160ff46e1d = $(`&lt;div id=&quot;html_39ded3d23bfcc81315a871160ff46e1d&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;22.932435319113342&lt;/div&gt;`)[0];\n",
              "                popup_dd98be95b99d1714f1ccf5e373dd2313.setContent(html_39ded3d23bfcc81315a871160ff46e1d);\n",
              "            \n",
              "        \n",
              "\n",
              "        marker_dca45cfd8a51fa8c7fa4e0abb8393df4.bindPopup(popup_dd98be95b99d1714f1ccf5e373dd2313)\n",
              "        ;\n",
              "\n",
              "        \n",
              "    \n",
              "    \n",
              "            var marker_42e143cc57011c6a0f1706f84d68cdb5 = L.marker(\n",
              "                [23.07359374161736, 72.49184701873767],\n",
              "                {}\n",
              "            ).addTo(map_4f91d7f65f716519cf38f97bf913f3df);\n",
              "        \n",
              "    \n",
              "            var icon_748f0bae7ec5655445a1d04cc5ed1858 = L.AwesomeMarkers.icon(\n",
              "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;green&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n",
              "            );\n",
              "            marker_42e143cc57011c6a0f1706f84d68cdb5.setIcon(icon_748f0bae7ec5655445a1d04cc5ed1858);\n",
              "        \n",
              "    \n",
              "        var popup_2f72d8ff582e3d6501a18861a9fc3cfa = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
              "\n",
              "        \n",
              "            \n",
              "                var html_5db38c8170a65a46c5011aceeba535eb = $(`&lt;div id=&quot;html_5db38c8170a65a46c5011aceeba535eb&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;23.07359374161736&lt;/div&gt;`)[0];\n",
              "                popup_2f72d8ff582e3d6501a18861a9fc3cfa.setContent(html_5db38c8170a65a46c5011aceeba535eb);\n",
              "            \n",
              "        \n",
              "\n",
              "        marker_42e143cc57011c6a0f1706f84d68cdb5.bindPopup(popup_2f72d8ff582e3d6501a18861a9fc3cfa)\n",
              "        ;\n",
              "\n",
              "        \n",
              "    \n",
              "    \n",
              "            var marker_573a24594e6825a7244cded9bf7ea96a = L.marker(\n",
              "                [23.018612981935483, 72.57984823526881],\n",
              "                {}\n",
              "            ).addTo(map_4f91d7f65f716519cf38f97bf913f3df);\n",
              "        \n",
              "    \n",
              "            var icon_75efd1210cc702097359dc103e24619d = L.AwesomeMarkers.icon(\n",
              "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;green&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n",
              "            );\n",
              "            marker_573a24594e6825a7244cded9bf7ea96a.setIcon(icon_75efd1210cc702097359dc103e24619d);\n",
              "        \n",
              "    \n",
              "        var popup_2121de558de3f7e6009188df47a7c972 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
              "\n",
              "        \n",
              "            \n",
              "                var html_7edac87ffc623a59f23f72bd5fbc2550 = $(`&lt;div id=&quot;html_7edac87ffc623a59f23f72bd5fbc2550&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;23.018612981935483&lt;/div&gt;`)[0];\n",
              "                popup_2121de558de3f7e6009188df47a7c972.setContent(html_7edac87ffc623a59f23f72bd5fbc2550);\n",
              "            \n",
              "        \n",
              "\n",
              "        marker_573a24594e6825a7244cded9bf7ea96a.bindPopup(popup_2121de558de3f7e6009188df47a7c972)\n",
              "        ;\n",
              "\n",
              "        \n",
              "    \n",
              "    \n",
              "            var marker_bca7ab7be1cc92b3e859dbf7bb4a9ebe = L.marker(\n",
              "                [22.970893421052633, 72.63654369241286],\n",
              "                {}\n",
              "            ).addTo(map_4f91d7f65f716519cf38f97bf913f3df);\n",
              "        \n",
              "    \n",
              "            var icon_2a3c3b8ed352a9b4a6991d633c4bf869 = L.AwesomeMarkers.icon(\n",
              "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;green&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n",
              "            );\n",
              "            marker_bca7ab7be1cc92b3e859dbf7bb4a9ebe.setIcon(icon_2a3c3b8ed352a9b4a6991d633c4bf869);\n",
              "        \n",
              "    \n",
              "        var popup_ebe979d5c0d7e1bfb021751d49c9596f = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
              "\n",
              "        \n",
              "            \n",
              "                var html_6d7c109a6d5f143b10c690365e21dbb2 = $(`&lt;div id=&quot;html_6d7c109a6d5f143b10c690365e21dbb2&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;22.970893421052633&lt;/div&gt;`)[0];\n",
              "                popup_ebe979d5c0d7e1bfb021751d49c9596f.setContent(html_6d7c109a6d5f143b10c690365e21dbb2);\n",
              "            \n",
              "        \n",
              "\n",
              "        marker_bca7ab7be1cc92b3e859dbf7bb4a9ebe.bindPopup(popup_ebe979d5c0d7e1bfb021751d49c9596f)\n",
              "        ;\n",
              "\n",
              "        \n",
              "    \n",
              "    \n",
              "            var marker_4b6a9db89195b0f3972f48e2b805cee0 = L.marker(\n",
              "                [22.93261098387097, 72.51755091209678],\n",
              "                {}\n",
              "            ).addTo(map_4f91d7f65f716519cf38f97bf913f3df);\n",
              "        \n",
              "    \n",
              "            var icon_3ce814a1132285279bd4e378ce861121 = L.AwesomeMarkers.icon(\n",
              "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;green&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n",
              "            );\n",
              "            marker_4b6a9db89195b0f3972f48e2b805cee0.setIcon(icon_3ce814a1132285279bd4e378ce861121);\n",
              "        \n",
              "    \n",
              "        var popup_1b2fcd04e55180a1e8ac9d6532f2f2f4 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
              "\n",
              "        \n",
              "            \n",
              "                var html_6dacdf47aef7b9899fd653a9236b7a41 = $(`&lt;div id=&quot;html_6dacdf47aef7b9899fd653a9236b7a41&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;22.93261098387097&lt;/div&gt;`)[0];\n",
              "                popup_1b2fcd04e55180a1e8ac9d6532f2f2f4.setContent(html_6dacdf47aef7b9899fd653a9236b7a41);\n",
              "            \n",
              "        \n",
              "\n",
              "        marker_4b6a9db89195b0f3972f48e2b805cee0.bindPopup(popup_1b2fcd04e55180a1e8ac9d6532f2f2f4)\n",
              "        ;\n",
              "\n",
              "        \n",
              "    \n",
              "    \n",
              "            var marker_b69c2bf8f80f920b47b04547abbbdb6c = L.marker(\n",
              "                [23.05808095095949, 72.65948236140724],\n",
              "                {}\n",
              "            ).addTo(map_4f91d7f65f716519cf38f97bf913f3df);\n",
              "        \n",
              "    \n",
              "            var icon_d6d8653bd6a44428ac07c3668a89e982 = L.AwesomeMarkers.icon(\n",
              "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;green&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n",
              "            );\n",
              "            marker_b69c2bf8f80f920b47b04547abbbdb6c.setIcon(icon_d6d8653bd6a44428ac07c3668a89e982);\n",
              "        \n",
              "    \n",
              "        var popup_a68f874e04b8f646887187b06abdbe96 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
              "\n",
              "        \n",
              "            \n",
              "                var html_9deb2379bbe0b686967f0ecd8592c0d3 = $(`&lt;div id=&quot;html_9deb2379bbe0b686967f0ecd8592c0d3&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;23.05808095095949&lt;/div&gt;`)[0];\n",
              "                popup_a68f874e04b8f646887187b06abdbe96.setContent(html_9deb2379bbe0b686967f0ecd8592c0d3);\n",
              "            \n",
              "        \n",
              "\n",
              "        marker_b69c2bf8f80f920b47b04547abbbdb6c.bindPopup(popup_a68f874e04b8f646887187b06abdbe96)\n",
              "        ;\n",
              "\n",
              "        \n",
              "    \n",
              "    \n",
              "            var marker_500e09507db66f958a19b0d5ffe6be8a = L.marker(\n",
              "                [22.98693766703994, 72.49177601642404],\n",
              "                {}\n",
              "            ).addTo(map_4f91d7f65f716519cf38f97bf913f3df);\n",
              "        \n",
              "    \n",
              "            var icon_f758109ed200b09a10025d1a17eea1c4 = L.AwesomeMarkers.icon(\n",
              "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;green&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n",
              "            );\n",
              "            marker_500e09507db66f958a19b0d5ffe6be8a.setIcon(icon_f758109ed200b09a10025d1a17eea1c4);\n",
              "        \n",
              "    \n",
              "        var popup_2a3dd70a46428ddf6a8801c5ef65810d = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
              "\n",
              "        \n",
              "            \n",
              "                var html_c84efa50956996e3ad688a68c989e96a = $(`&lt;div id=&quot;html_c84efa50956996e3ad688a68c989e96a&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;22.98693766703994&lt;/div&gt;`)[0];\n",
              "                popup_2a3dd70a46428ddf6a8801c5ef65810d.setContent(html_c84efa50956996e3ad688a68c989e96a);\n",
              "            \n",
              "        \n",
              "\n",
              "        marker_500e09507db66f958a19b0d5ffe6be8a.bindPopup(popup_2a3dd70a46428ddf6a8801c5ef65810d)\n",
              "        ;\n",
              "\n",
              "        \n",
              "    \n",
              "    \n",
              "            var marker_b9b156d30b77f77be2381825be2159db = L.marker(\n",
              "                [22.934827017407407, 72.49118616074074],\n",
              "                {}\n",
              "            ).addTo(map_4f91d7f65f716519cf38f97bf913f3df);\n",
              "        \n",
              "    \n",
              "            var icon_f079295f2119a8d365cc3757b5567299 = L.AwesomeMarkers.icon(\n",
              "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;green&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n",
              "            );\n",
              "            marker_b9b156d30b77f77be2381825be2159db.setIcon(icon_f079295f2119a8d365cc3757b5567299);\n",
              "        \n",
              "    \n",
              "        var popup_19aa237118342ff70b9c53395dfaaafc = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
              "\n",
              "        \n",
              "            \n",
              "                var html_ef95d1dcd3937d4d96d519c57e882c69 = $(`&lt;div id=&quot;html_ef95d1dcd3937d4d96d519c57e882c69&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;22.934827017407407&lt;/div&gt;`)[0];\n",
              "                popup_19aa237118342ff70b9c53395dfaaafc.setContent(html_ef95d1dcd3937d4d96d519c57e882c69);\n",
              "            \n",
              "        \n",
              "\n",
              "        marker_b9b156d30b77f77be2381825be2159db.bindPopup(popup_19aa237118342ff70b9c53395dfaaafc)\n",
              "        ;\n",
              "\n",
              "        \n",
              "    \n",
              "    \n",
              "            var marker_5519cb387d3017479d22086c14bcb42b = L.marker(\n",
              "                [23.06792617289459, 72.5820128884551],\n",
              "                {}\n",
              "            ).addTo(map_4f91d7f65f716519cf38f97bf913f3df);\n",
              "        \n",
              "    \n",
              "            var icon_252ee0d77cdcfadd8efae986384ce6c6 = L.AwesomeMarkers.icon(\n",
              "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;green&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n",
              "            );\n",
              "            marker_5519cb387d3017479d22086c14bcb42b.setIcon(icon_252ee0d77cdcfadd8efae986384ce6c6);\n",
              "        \n",
              "    \n",
              "        var popup_b82da9328da1e344cfab0bc2319a75a1 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
              "\n",
              "        \n",
              "            \n",
              "                var html_95772fd73d4212270c5860a1376e7f42 = $(`&lt;div id=&quot;html_95772fd73d4212270c5860a1376e7f42&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;23.06792617289459&lt;/div&gt;`)[0];\n",
              "                popup_b82da9328da1e344cfab0bc2319a75a1.setContent(html_95772fd73d4212270c5860a1376e7f42);\n",
              "            \n",
              "        \n",
              "\n",
              "        marker_5519cb387d3017479d22086c14bcb42b.bindPopup(popup_b82da9328da1e344cfab0bc2319a75a1)\n",
              "        ;\n",
              "\n",
              "        \n",
              "    \n",
              "    \n",
              "            var marker_00919bcc3d875f8d8f93bf3cb5d914f3 = L.marker(\n",
              "                [23.0562116741812, 72.51600272139515],\n",
              "                {}\n",
              "            ).addTo(map_4f91d7f65f716519cf38f97bf913f3df);\n",
              "        \n",
              "    \n",
              "            var icon_0000918659ab0544d11547ecbe3529d1 = L.AwesomeMarkers.icon(\n",
              "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;green&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n",
              "            );\n",
              "            marker_00919bcc3d875f8d8f93bf3cb5d914f3.setIcon(icon_0000918659ab0544d11547ecbe3529d1);\n",
              "        \n",
              "    \n",
              "        var popup_f48c4b99121deff3a27514a08fd4e114 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
              "\n",
              "        \n",
              "            \n",
              "                var html_a8fcf9f0fbf05afe3ffa0fdb969a676f = $(`&lt;div id=&quot;html_a8fcf9f0fbf05afe3ffa0fdb969a676f&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;23.0562116741812&lt;/div&gt;`)[0];\n",
              "                popup_f48c4b99121deff3a27514a08fd4e114.setContent(html_a8fcf9f0fbf05afe3ffa0fdb969a676f);\n",
              "            \n",
              "        \n",
              "\n",
              "        marker_00919bcc3d875f8d8f93bf3cb5d914f3.bindPopup(popup_f48c4b99121deff3a27514a08fd4e114)\n",
              "        ;\n",
              "\n",
              "        \n",
              "    \n",
              "    \n",
              "            var marker_c5f0110cd637357531989c597bdafd18 = L.marker(\n",
              "                [22.988441841897234, 72.61706279164314],\n",
              "                {}\n",
              "            ).addTo(map_4f91d7f65f716519cf38f97bf913f3df);\n",
              "        \n",
              "    \n",
              "            var icon_b938b34842fb484d403b6f8834a4aa18 = L.AwesomeMarkers.icon(\n",
              "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;green&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n",
              "            );\n",
              "            marker_c5f0110cd637357531989c597bdafd18.setIcon(icon_b938b34842fb484d403b6f8834a4aa18);\n",
              "        \n",
              "    \n",
              "        var popup_b27e57d2df0d543fca3c8a30656ac05e = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
              "\n",
              "        \n",
              "            \n",
              "                var html_bb7915a627f8cb42683fec93fd608a7e = $(`&lt;div id=&quot;html_bb7915a627f8cb42683fec93fd608a7e&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;22.988441841897234&lt;/div&gt;`)[0];\n",
              "                popup_b27e57d2df0d543fca3c8a30656ac05e.setContent(html_bb7915a627f8cb42683fec93fd608a7e);\n",
              "            \n",
              "        \n",
              "\n",
              "        marker_c5f0110cd637357531989c597bdafd18.bindPopup(popup_b27e57d2df0d543fca3c8a30656ac05e)\n",
              "        ;\n",
              "\n",
              "        \n",
              "    \n",
              "    \n",
              "            var marker_a385f92f4805f7a85fb053326cb61e9e = L.marker(\n",
              "                [23.1063059579646, 72.49805397640118],\n",
              "                {}\n",
              "            ).addTo(map_4f91d7f65f716519cf38f97bf913f3df);\n",
              "        \n",
              "    \n",
              "            var icon_0ee296f9e73a1ad5be7a9969ae46d7ca = L.AwesomeMarkers.icon(\n",
              "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;green&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n",
              "            );\n",
              "            marker_a385f92f4805f7a85fb053326cb61e9e.setIcon(icon_0ee296f9e73a1ad5be7a9969ae46d7ca);\n",
              "        \n",
              "    \n",
              "        var popup_f8b88803e631f80c2362b2c0b19fb121 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
              "\n",
              "        \n",
              "            \n",
              "                var html_9589cef70bbf504b14126dcd8be26923 = $(`&lt;div id=&quot;html_9589cef70bbf504b14126dcd8be26923&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;23.1063059579646&lt;/div&gt;`)[0];\n",
              "                popup_f8b88803e631f80c2362b2c0b19fb121.setContent(html_9589cef70bbf504b14126dcd8be26923);\n",
              "            \n",
              "        \n",
              "\n",
              "        marker_a385f92f4805f7a85fb053326cb61e9e.bindPopup(popup_f8b88803e631f80c2362b2c0b19fb121)\n",
              "        ;\n",
              "\n",
              "        \n",
              "    \n",
              "    \n",
              "            var marker_c3a917603a8b0b5331cc83d86cde4ef3 = L.marker(\n",
              "                [22.977920530032467, 72.54629642613637],\n",
              "                {}\n",
              "            ).addTo(map_4f91d7f65f716519cf38f97bf913f3df);\n",
              "        \n",
              "    \n",
              "            var icon_9a1132966ce785a5dd9dfb3d2ca63b48 = L.AwesomeMarkers.icon(\n",
              "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;green&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n",
              "            );\n",
              "            marker_c3a917603a8b0b5331cc83d86cde4ef3.setIcon(icon_9a1132966ce785a5dd9dfb3d2ca63b48);\n",
              "        \n",
              "    \n",
              "        var popup_bd1275c94027c295618ec0a948e30f60 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
              "\n",
              "        \n",
              "            \n",
              "                var html_6c56833816255ae8dc92cd7bd4c4a018 = $(`&lt;div id=&quot;html_6c56833816255ae8dc92cd7bd4c4a018&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;22.977920530032467&lt;/div&gt;`)[0];\n",
              "                popup_bd1275c94027c295618ec0a948e30f60.setContent(html_6c56833816255ae8dc92cd7bd4c4a018);\n",
              "            \n",
              "        \n",
              "\n",
              "        marker_c3a917603a8b0b5331cc83d86cde4ef3.bindPopup(popup_bd1275c94027c295618ec0a948e30f60)\n",
              "        ;\n",
              "\n",
              "        \n",
              "    \n",
              "    \n",
              "            var marker_b0988b8b2c67cc124ae92612d7d6cb2b = L.marker(\n",
              "                [22.985999832752615, 72.66512227990708],\n",
              "                {}\n",
              "            ).addTo(map_4f91d7f65f716519cf38f97bf913f3df);\n",
              "        \n",
              "    \n",
              "            var icon_61b131b08443f6f0467d0bc4a98684c7 = L.AwesomeMarkers.icon(\n",
              "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;green&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n",
              "            );\n",
              "            marker_b0988b8b2c67cc124ae92612d7d6cb2b.setIcon(icon_61b131b08443f6f0467d0bc4a98684c7);\n",
              "        \n",
              "    \n",
              "        var popup_b51b5ab164f6669593c133ac238e23b7 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
              "\n",
              "        \n",
              "            \n",
              "                var html_2cfd217c6243853e2b4c05f546defabb = $(`&lt;div id=&quot;html_2cfd217c6243853e2b4c05f546defabb&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;22.985999832752615&lt;/div&gt;`)[0];\n",
              "                popup_b51b5ab164f6669593c133ac238e23b7.setContent(html_2cfd217c6243853e2b4c05f546defabb);\n",
              "            \n",
              "        \n",
              "\n",
              "        marker_b0988b8b2c67cc124ae92612d7d6cb2b.bindPopup(popup_b51b5ab164f6669593c133ac238e23b7)\n",
              "        ;\n",
              "\n",
              "        \n",
              "    \n",
              "    \n",
              "            var marker_d419ed60f8c65ef9a64e1ca6d81b4965 = L.marker(\n",
              "                [23.02263396579392, 72.5546006081081],\n",
              "                {}\n",
              "            ).addTo(map_4f91d7f65f716519cf38f97bf913f3df);\n",
              "        \n",
              "    \n",
              "            var icon_fe53f41a2975f34cd26c059f26a1c775 = L.AwesomeMarkers.icon(\n",
              "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;green&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n",
              "            );\n",
              "            marker_d419ed60f8c65ef9a64e1ca6d81b4965.setIcon(icon_fe53f41a2975f34cd26c059f26a1c775);\n",
              "        \n",
              "    \n",
              "        var popup_a413150e9201defb7dfed6552e3d7a04 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
              "\n",
              "        \n",
              "            \n",
              "                var html_245f3b3064cb2cc76cf85af45c020db9 = $(`&lt;div id=&quot;html_245f3b3064cb2cc76cf85af45c020db9&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;23.02263396579392&lt;/div&gt;`)[0];\n",
              "                popup_a413150e9201defb7dfed6552e3d7a04.setContent(html_245f3b3064cb2cc76cf85af45c020db9);\n",
              "            \n",
              "        \n",
              "\n",
              "        marker_d419ed60f8c65ef9a64e1ca6d81b4965.bindPopup(popup_a413150e9201defb7dfed6552e3d7a04)\n",
              "        ;\n",
              "\n",
              "        \n",
              "    \n",
              "    \n",
              "            var marker_00a2d8e4cda3f1bdf10764a7ce797965 = L.marker(\n",
              "                [22.933093569746376, 72.57095720335145],\n",
              "                {}\n",
              "            ).addTo(map_4f91d7f65f716519cf38f97bf913f3df);\n",
              "        \n",
              "    \n",
              "            var icon_4d2d839581424dd6a9f06ce588be4d5f = L.AwesomeMarkers.icon(\n",
              "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;green&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n",
              "            );\n",
              "            marker_00a2d8e4cda3f1bdf10764a7ce797965.setIcon(icon_4d2d839581424dd6a9f06ce588be4d5f);\n",
              "        \n",
              "    \n",
              "        var popup_4a72f9c93721cf2cc55a4d9c9d01a825 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
              "\n",
              "        \n",
              "            \n",
              "                var html_7e7c5381b2379cd3339c0838960179c6 = $(`&lt;div id=&quot;html_7e7c5381b2379cd3339c0838960179c6&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;22.933093569746376&lt;/div&gt;`)[0];\n",
              "                popup_4a72f9c93721cf2cc55a4d9c9d01a825.setContent(html_7e7c5381b2379cd3339c0838960179c6);\n",
              "            \n",
              "        \n",
              "\n",
              "        marker_00a2d8e4cda3f1bdf10764a7ce797965.bindPopup(popup_4a72f9c93721cf2cc55a4d9c9d01a825)\n",
              "        ;\n",
              "\n",
              "        \n",
              "    \n",
              "    \n",
              "            var marker_b2d7f6494fcf6150b66e2aa70464d9d0 = L.marker(\n",
              "                [23.083032448416752, 72.63814959244127],\n",
              "                {}\n",
              "            ).addTo(map_4f91d7f65f716519cf38f97bf913f3df);\n",
              "        \n",
              "    \n",
              "            var icon_89807b51d4b28706bd7686aba76fb668 = L.AwesomeMarkers.icon(\n",
              "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;green&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n",
              "            );\n",
              "            marker_b2d7f6494fcf6150b66e2aa70464d9d0.setIcon(icon_89807b51d4b28706bd7686aba76fb668);\n",
              "        \n",
              "    \n",
              "        var popup_fd0138c91cb08378802ccd878dade7f3 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
              "\n",
              "        \n",
              "            \n",
              "                var html_27a965f26f0f5ba6499c04a1d4deea86 = $(`&lt;div id=&quot;html_27a965f26f0f5ba6499c04a1d4deea86&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;23.083032448416752&lt;/div&gt;`)[0];\n",
              "                popup_fd0138c91cb08378802ccd878dade7f3.setContent(html_27a965f26f0f5ba6499c04a1d4deea86);\n",
              "            \n",
              "        \n",
              "\n",
              "        marker_b2d7f6494fcf6150b66e2aa70464d9d0.bindPopup(popup_fd0138c91cb08378802ccd878dade7f3)\n",
              "        ;\n",
              "\n",
              "        \n",
              "    \n",
              "    \n",
              "            var marker_091354a0618fe9e8d02430e4bd8c7049 = L.marker(\n",
              "                [23.089587242317823, 72.60239169710272],\n",
              "                {}\n",
              "            ).addTo(map_4f91d7f65f716519cf38f97bf913f3df);\n",
              "        \n",
              "    \n",
              "            var icon_3e96eff40477f6b657dfbff906d82c97 = L.AwesomeMarkers.icon(\n",
              "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;green&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n",
              "            );\n",
              "            marker_091354a0618fe9e8d02430e4bd8c7049.setIcon(icon_3e96eff40477f6b657dfbff906d82c97);\n",
              "        \n",
              "    \n",
              "        var popup_51991a695a4e63f2e122863c48653166 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
              "\n",
              "        \n",
              "            \n",
              "                var html_0d2e535515b47cdfbd670d6dda618dd6 = $(`&lt;div id=&quot;html_0d2e535515b47cdfbd670d6dda618dd6&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;23.089587242317823&lt;/div&gt;`)[0];\n",
              "                popup_51991a695a4e63f2e122863c48653166.setContent(html_0d2e535515b47cdfbd670d6dda618dd6);\n",
              "            \n",
              "        \n",
              "\n",
              "        marker_091354a0618fe9e8d02430e4bd8c7049.bindPopup(popup_51991a695a4e63f2e122863c48653166)\n",
              "        ;\n",
              "\n",
              "        \n",
              "    \n",
              "    \n",
              "            var marker_1e19c31d53329f9e5844c4cc2b4412c7 = L.marker(\n",
              "                [23.09671450386997, 72.56746236532507],\n",
              "                {}\n",
              "            ).addTo(map_4f91d7f65f716519cf38f97bf913f3df);\n",
              "        \n",
              "    \n",
              "            var icon_24424b4cecf7c62bd8c4f88e76779cd5 = L.AwesomeMarkers.icon(\n",
              "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;green&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n",
              "            );\n",
              "            marker_1e19c31d53329f9e5844c4cc2b4412c7.setIcon(icon_24424b4cecf7c62bd8c4f88e76779cd5);\n",
              "        \n",
              "    \n",
              "        var popup_3ac3fefa530685f26e53ccc9c9510838 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
              "\n",
              "        \n",
              "            \n",
              "                var html_7444caff46099fb4f19cdc3fee94d5af = $(`&lt;div id=&quot;html_7444caff46099fb4f19cdc3fee94d5af&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;23.09671450386997&lt;/div&gt;`)[0];\n",
              "                popup_3ac3fefa530685f26e53ccc9c9510838.setContent(html_7444caff46099fb4f19cdc3fee94d5af);\n",
              "            \n",
              "        \n",
              "\n",
              "        marker_1e19c31d53329f9e5844c4cc2b4412c7.bindPopup(popup_3ac3fefa530685f26e53ccc9c9510838)\n",
              "        ;\n",
              "\n",
              "        \n",
              "    \n",
              "    \n",
              "            var marker_85de5669ac2b54a46fbeab944370ca13 = L.marker(\n",
              "                [23.00806802779386, 72.63587550260567],\n",
              "                {}\n",
              "            ).addTo(map_4f91d7f65f716519cf38f97bf913f3df);\n",
              "        \n",
              "    \n",
              "            var icon_3f5f74ea52ca6d7201c0b843c6d7de4a = L.AwesomeMarkers.icon(\n",
              "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;green&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n",
              "            );\n",
              "            marker_85de5669ac2b54a46fbeab944370ca13.setIcon(icon_3f5f74ea52ca6d7201c0b843c6d7de4a);\n",
              "        \n",
              "    \n",
              "        var popup_d6f30be1e9015c00e19751219a0182b9 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
              "\n",
              "        \n",
              "            \n",
              "                var html_555a499a4c4bc3b01a4c783a605407f6 = $(`&lt;div id=&quot;html_555a499a4c4bc3b01a4c783a605407f6&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;23.00806802779386&lt;/div&gt;`)[0];\n",
              "                popup_d6f30be1e9015c00e19751219a0182b9.setContent(html_555a499a4c4bc3b01a4c783a605407f6);\n",
              "            \n",
              "        \n",
              "\n",
              "        marker_85de5669ac2b54a46fbeab944370ca13.bindPopup(popup_d6f30be1e9015c00e19751219a0182b9)\n",
              "        ;\n",
              "\n",
              "        \n",
              "    \n",
              "    \n",
              "            var marker_f0f3b9fbc779d2e661ebcefdb0ce2f06 = L.marker(\n",
              "                [23.008690524152108, 72.60254272918807],\n",
              "                {}\n",
              "            ).addTo(map_4f91d7f65f716519cf38f97bf913f3df);\n",
              "        \n",
              "    \n",
              "            var icon_b008342026926beb72c787089453e0e2 = L.AwesomeMarkers.icon(\n",
              "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;green&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n",
              "            );\n",
              "            marker_f0f3b9fbc779d2e661ebcefdb0ce2f06.setIcon(icon_b008342026926beb72c787089453e0e2);\n",
              "        \n",
              "    \n",
              "        var popup_93ee32042104b7b36376bb23c0cadd09 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
              "\n",
              "        \n",
              "            \n",
              "                var html_5a2e25a25cb38721df285e38d467fb91 = $(`&lt;div id=&quot;html_5a2e25a25cb38721df285e38d467fb91&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;23.008690524152108&lt;/div&gt;`)[0];\n",
              "                popup_93ee32042104b7b36376bb23c0cadd09.setContent(html_5a2e25a25cb38721df285e38d467fb91);\n",
              "            \n",
              "        \n",
              "\n",
              "        marker_f0f3b9fbc779d2e661ebcefdb0ce2f06.bindPopup(popup_93ee32042104b7b36376bb23c0cadd09)\n",
              "        ;\n",
              "\n",
              "        \n",
              "    \n",
              "    \n",
              "            var marker_bf427fd0ced2c73eff459f580bedb4dc = L.marker(\n",
              "                [22.962388010531594, 72.60820209027081],\n",
              "                {}\n",
              "            ).addTo(map_4f91d7f65f716519cf38f97bf913f3df);\n",
              "        \n",
              "    \n",
              "            var icon_548fb951c55c283755e2748437f57f02 = L.AwesomeMarkers.icon(\n",
              "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;green&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n",
              "            );\n",
              "            marker_bf427fd0ced2c73eff459f580bedb4dc.setIcon(icon_548fb951c55c283755e2748437f57f02);\n",
              "        \n",
              "    \n",
              "        var popup_e3913dd16afb7427a44585b385d820e5 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
              "\n",
              "        \n",
              "            \n",
              "                var html_677f818899703c604fad6f5065763f28 = $(`&lt;div id=&quot;html_677f818899703c604fad6f5065763f28&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;22.962388010531594&lt;/div&gt;`)[0];\n",
              "                popup_e3913dd16afb7427a44585b385d820e5.setContent(html_677f818899703c604fad6f5065763f28);\n",
              "            \n",
              "        \n",
              "\n",
              "        marker_bf427fd0ced2c73eff459f580bedb4dc.bindPopup(popup_e3913dd16afb7427a44585b385d820e5)\n",
              "        ;\n",
              "\n",
              "        \n",
              "    \n",
              "    \n",
              "            var marker_1ce7b71272853d5c586219ab3113dbef = L.marker(\n",
              "                [23.00342378255814, 72.51285410736435],\n",
              "                {}\n",
              "            ).addTo(map_4f91d7f65f716519cf38f97bf913f3df);\n",
              "        \n",
              "    \n",
              "            var icon_9df8d323fff7581646acaf7ef639f8fe = L.AwesomeMarkers.icon(\n",
              "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;green&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n",
              "            );\n",
              "            marker_1ce7b71272853d5c586219ab3113dbef.setIcon(icon_9df8d323fff7581646acaf7ef639f8fe);\n",
              "        \n",
              "    \n",
              "        var popup_7ba19940ce42c2e5e63ad81d3f850dec = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
              "\n",
              "        \n",
              "            \n",
              "                var html_09843ecea077d34a3ec73dac1263ed7d = $(`&lt;div id=&quot;html_09843ecea077d34a3ec73dac1263ed7d&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;23.00342378255814&lt;/div&gt;`)[0];\n",
              "                popup_7ba19940ce42c2e5e63ad81d3f850dec.setContent(html_09843ecea077d34a3ec73dac1263ed7d);\n",
              "            \n",
              "        \n",
              "\n",
              "        marker_1ce7b71272853d5c586219ab3113dbef.bindPopup(popup_7ba19940ce42c2e5e63ad81d3f850dec)\n",
              "        ;\n",
              "\n",
              "        \n",
              "    \n",
              "    \n",
              "            var marker_0f1e8c53f67c7455858a18d38deb0c8b = L.marker(\n",
              "                [22.999251458813838, 72.56486494069193],\n",
              "                {}\n",
              "            ).addTo(map_4f91d7f65f716519cf38f97bf913f3df);\n",
              "        \n",
              "    \n",
              "            var icon_9696dbbc6212dd7442d1af98eb01abe4 = L.AwesomeMarkers.icon(\n",
              "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;green&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n",
              "            );\n",
              "            marker_0f1e8c53f67c7455858a18d38deb0c8b.setIcon(icon_9696dbbc6212dd7442d1af98eb01abe4);\n",
              "        \n",
              "    \n",
              "        var popup_1d35c0b40e693b8e0ca339e2cf39f1bc = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
              "\n",
              "        \n",
              "            \n",
              "                var html_775ad9794beaff1dfbc6a459d6658d1f = $(`&lt;div id=&quot;html_775ad9794beaff1dfbc6a459d6658d1f&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;22.999251458813838&lt;/div&gt;`)[0];\n",
              "                popup_1d35c0b40e693b8e0ca339e2cf39f1bc.setContent(html_775ad9794beaff1dfbc6a459d6658d1f);\n",
              "            \n",
              "        \n",
              "\n",
              "        marker_0f1e8c53f67c7455858a18d38deb0c8b.bindPopup(popup_1d35c0b40e693b8e0ca339e2cf39f1bc)\n",
              "        ;\n",
              "\n",
              "        \n",
              "    \n",
              "    \n",
              "            var marker_65a5624dd1cdc1724ac1b7267371b2b8 = L.marker(\n",
              "                [22.962309620760113, 72.4900213485901],\n",
              "                {}\n",
              "            ).addTo(map_4f91d7f65f716519cf38f97bf913f3df);\n",
              "        \n",
              "    \n",
              "            var icon_b6e07f20ba810284ec466ac1138f7bfd = L.AwesomeMarkers.icon(\n",
              "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;green&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n",
              "            );\n",
              "            marker_65a5624dd1cdc1724ac1b7267371b2b8.setIcon(icon_b6e07f20ba810284ec466ac1138f7bfd);\n",
              "        \n",
              "    \n",
              "        var popup_e249f900800d187f2b652393ed2a2b3f = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
              "\n",
              "        \n",
              "            \n",
              "                var html_ea99018d27fdc57da0f17dba1ef7da9c = $(`&lt;div id=&quot;html_ea99018d27fdc57da0f17dba1ef7da9c&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;22.962309620760113&lt;/div&gt;`)[0];\n",
              "                popup_e249f900800d187f2b652393ed2a2b3f.setContent(html_ea99018d27fdc57da0f17dba1ef7da9c);\n",
              "            \n",
              "        \n",
              "\n",
              "        marker_65a5624dd1cdc1724ac1b7267371b2b8.bindPopup(popup_e249f900800d187f2b652393ed2a2b3f)\n",
              "        ;\n",
              "\n",
              "        \n",
              "    \n",
              "    \n",
              "            var marker_6ba8b4b99687f03efa9528e4a643f3b5 = L.marker(\n",
              "                [22.938132046060606, 72.62515721575758],\n",
              "                {}\n",
              "            ).addTo(map_4f91d7f65f716519cf38f97bf913f3df);\n",
              "        \n",
              "    \n",
              "            var icon_aa2d029e0a4426d4a52b7736fabfa8f6 = L.AwesomeMarkers.icon(\n",
              "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;green&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n",
              "            );\n",
              "            marker_6ba8b4b99687f03efa9528e4a643f3b5.setIcon(icon_aa2d029e0a4426d4a52b7736fabfa8f6);\n",
              "        \n",
              "    \n",
              "        var popup_2d6fb905ff1707b6e685908f660c263c = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
              "\n",
              "        \n",
              "            \n",
              "                var html_f34e2483fc02ac68e7b192a524f17e20 = $(`&lt;div id=&quot;html_f34e2483fc02ac68e7b192a524f17e20&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;22.938132046060606&lt;/div&gt;`)[0];\n",
              "                popup_2d6fb905ff1707b6e685908f660c263c.setContent(html_f34e2483fc02ac68e7b192a524f17e20);\n",
              "            \n",
              "        \n",
              "\n",
              "        marker_6ba8b4b99687f03efa9528e4a643f3b5.bindPopup(popup_2d6fb905ff1707b6e685908f660c263c)\n",
              "        ;\n",
              "\n",
              "        \n",
              "    \n",
              "    \n",
              "            var marker_8c6b8adb081af3ce29b4d683875e539d = L.marker(\n",
              "                [22.954534673226544, 72.55919394187643],\n",
              "                {}\n",
              "            ).addTo(map_4f91d7f65f716519cf38f97bf913f3df);\n",
              "        \n",
              "    \n",
              "            var icon_cf79690e7b5c3e504b6feab4f88dc299 = L.AwesomeMarkers.icon(\n",
              "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;green&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n",
              "            );\n",
              "            marker_8c6b8adb081af3ce29b4d683875e539d.setIcon(icon_cf79690e7b5c3e504b6feab4f88dc299);\n",
              "        \n",
              "    \n",
              "        var popup_3617e6e4a6cad7e233770cb4ff703e0f = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
              "\n",
              "        \n",
              "            \n",
              "                var html_dbb39d7f940ba27272a6638bd1977ad2 = $(`&lt;div id=&quot;html_dbb39d7f940ba27272a6638bd1977ad2&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;22.954534673226544&lt;/div&gt;`)[0];\n",
              "                popup_3617e6e4a6cad7e233770cb4ff703e0f.setContent(html_dbb39d7f940ba27272a6638bd1977ad2);\n",
              "            \n",
              "        \n",
              "\n",
              "        marker_8c6b8adb081af3ce29b4d683875e539d.bindPopup(popup_3617e6e4a6cad7e233770cb4ff703e0f)\n",
              "        ;\n",
              "\n",
              "        \n",
              "    \n",
              "    \n",
              "            var marker_641efb1fc0d1ab053f03629f4e757004 = L.marker(\n",
              "                [23.014701601549756, 72.48992994453508],\n",
              "                {}\n",
              "            ).addTo(map_4f91d7f65f716519cf38f97bf913f3df);\n",
              "        \n",
              "    \n",
              "            var icon_6848993228e2043c45325bd2115309ca = L.AwesomeMarkers.icon(\n",
              "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;green&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n",
              "            );\n",
              "            marker_641efb1fc0d1ab053f03629f4e757004.setIcon(icon_6848993228e2043c45325bd2115309ca);\n",
              "        \n",
              "    \n",
              "        var popup_2fa1c277511e82d0c801797a67f3cfe7 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
              "\n",
              "        \n",
              "            \n",
              "                var html_5a1336d86836c443e32caa55797dbff6 = $(`&lt;div id=&quot;html_5a1336d86836c443e32caa55797dbff6&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;23.014701601549756&lt;/div&gt;`)[0];\n",
              "                popup_2fa1c277511e82d0c801797a67f3cfe7.setContent(html_5a1336d86836c443e32caa55797dbff6);\n",
              "            \n",
              "        \n",
              "\n",
              "        marker_641efb1fc0d1ab053f03629f4e757004.bindPopup(popup_2fa1c277511e82d0c801797a67f3cfe7)\n",
              "        ;\n",
              "\n",
              "        \n",
              "    \n",
              "    \n",
              "            var marker_2056c21822fd10be022ed96bb0ec361a = L.marker(\n",
              "                [23.040968708373903, 72.59131005306719],\n",
              "                {}\n",
              "            ).addTo(map_4f91d7f65f716519cf38f97bf913f3df);\n",
              "        \n",
              "    \n",
              "            var icon_ea77c65fbb12ee1823f8c8d9cd543b4a = L.AwesomeMarkers.icon(\n",
              "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;green&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n",
              "            );\n",
              "            marker_2056c21822fd10be022ed96bb0ec361a.setIcon(icon_ea77c65fbb12ee1823f8c8d9cd543b4a);\n",
              "        \n",
              "    \n",
              "        var popup_20e67634da692e8fd405887887671df4 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
              "\n",
              "        \n",
              "            \n",
              "                var html_638968410cd586bb34d47d49f9cd2a32 = $(`&lt;div id=&quot;html_638968410cd586bb34d47d49f9cd2a32&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;23.040968708373903&lt;/div&gt;`)[0];\n",
              "                popup_20e67634da692e8fd405887887671df4.setContent(html_638968410cd586bb34d47d49f9cd2a32);\n",
              "            \n",
              "        \n",
              "\n",
              "        marker_2056c21822fd10be022ed96bb0ec361a.bindPopup(popup_20e67634da692e8fd405887887671df4)\n",
              "        ;\n",
              "\n",
              "        \n",
              "    \n",
              "    \n",
              "            var marker_9719281b6d0dd25a8f80a2e16eb2849f = L.marker(\n",
              "                [23.059432164634146, 72.61385762084257],\n",
              "                {}\n",
              "            ).addTo(map_4f91d7f65f716519cf38f97bf913f3df);\n",
              "        \n",
              "    \n",
              "            var icon_153bb036d83702bad637a6e95369e9df = L.AwesomeMarkers.icon(\n",
              "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;green&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n",
              "            );\n",
              "            marker_9719281b6d0dd25a8f80a2e16eb2849f.setIcon(icon_153bb036d83702bad637a6e95369e9df);\n",
              "        \n",
              "    \n",
              "        var popup_ebb965c45e349fe5b5626826cf153c86 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
              "\n",
              "        \n",
              "            \n",
              "                var html_fe8d1599bae45851b3848e5f47777154 = $(`&lt;div id=&quot;html_fe8d1599bae45851b3848e5f47777154&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;23.059432164634146&lt;/div&gt;`)[0];\n",
              "                popup_ebb965c45e349fe5b5626826cf153c86.setContent(html_fe8d1599bae45851b3848e5f47777154);\n",
              "            \n",
              "        \n",
              "\n",
              "        marker_9719281b6d0dd25a8f80a2e16eb2849f.bindPopup(popup_ebb965c45e349fe5b5626826cf153c86)\n",
              "        ;\n",
              "\n",
              "        \n",
              "    \n",
              "    \n",
              "            var marker_46dbc5187d8ba4464680c95a5bab1ccc = L.marker(\n",
              "                [22.955061949615715, 72.51067921093083],\n",
              "                {}\n",
              "            ).addTo(map_4f91d7f65f716519cf38f97bf913f3df);\n",
              "        \n",
              "    \n",
              "            var icon_f3fdc56153deb30b2cc25b99785c1128 = L.AwesomeMarkers.icon(\n",
              "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;green&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n",
              "            );\n",
              "            marker_46dbc5187d8ba4464680c95a5bab1ccc.setIcon(icon_f3fdc56153deb30b2cc25b99785c1128);\n",
              "        \n",
              "    \n",
              "        var popup_5ed6e6d5bc3945c074e298b51e9707ae = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
              "\n",
              "        \n",
              "            \n",
              "                var html_e269b870fa6d036593ebfd14eebab9c4 = $(`&lt;div id=&quot;html_e269b870fa6d036593ebfd14eebab9c4&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;22.955061949615715&lt;/div&gt;`)[0];\n",
              "                popup_5ed6e6d5bc3945c074e298b51e9707ae.setContent(html_e269b870fa6d036593ebfd14eebab9c4);\n",
              "            \n",
              "        \n",
              "\n",
              "        marker_46dbc5187d8ba4464680c95a5bab1ccc.bindPopup(popup_5ed6e6d5bc3945c074e298b51e9707ae)\n",
              "        ;\n",
              "\n",
              "        \n",
              "    \n",
              "    \n",
              "            var marker_1c59266e3c84b987dea0225f2eaa0d06 = L.marker(\n",
              "                [23.02339336367713, 72.53024157757848],\n",
              "                {}\n",
              "            ).addTo(map_4f91d7f65f716519cf38f97bf913f3df);\n",
              "        \n",
              "    \n",
              "            var icon_136468019c297e07004bb0407037632f = L.AwesomeMarkers.icon(\n",
              "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;green&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n",
              "            );\n",
              "            marker_1c59266e3c84b987dea0225f2eaa0d06.setIcon(icon_136468019c297e07004bb0407037632f);\n",
              "        \n",
              "    \n",
              "        var popup_d30fa53c4365b801b965b962aca363f1 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
              "\n",
              "        \n",
              "            \n",
              "                var html_a53dc48a9774568953bc23cb4eef44bc = $(`&lt;div id=&quot;html_a53dc48a9774568953bc23cb4eef44bc&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;23.02339336367713&lt;/div&gt;`)[0];\n",
              "                popup_d30fa53c4365b801b965b962aca363f1.setContent(html_a53dc48a9774568953bc23cb4eef44bc);\n",
              "            \n",
              "        \n",
              "\n",
              "        marker_1c59266e3c84b987dea0225f2eaa0d06.bindPopup(popup_d30fa53c4365b801b965b962aca363f1)\n",
              "        ;\n",
              "\n",
              "        \n",
              "    \n",
              "    \n",
              "            var marker_fc14250073a9a3fc26b35788565e6665 = L.marker(\n",
              "                [22.955780291285315, 72.53439788460008],\n",
              "                {}\n",
              "            ).addTo(map_4f91d7f65f716519cf38f97bf913f3df);\n",
              "        \n",
              "    \n",
              "            var icon_733dacf8ad2b1c309b29a93f8f85fb87 = L.AwesomeMarkers.icon(\n",
              "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;green&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n",
              "            );\n",
              "            marker_fc14250073a9a3fc26b35788565e6665.setIcon(icon_733dacf8ad2b1c309b29a93f8f85fb87);\n",
              "        \n",
              "    \n",
              "        var popup_3adf184b9d813df54c19b18ad7650c48 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
              "\n",
              "        \n",
              "            \n",
              "                var html_2c6a2b69ec00d0168103fe77217028f0 = $(`&lt;div id=&quot;html_2c6a2b69ec00d0168103fe77217028f0&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;22.955780291285315&lt;/div&gt;`)[0];\n",
              "                popup_3adf184b9d813df54c19b18ad7650c48.setContent(html_2c6a2b69ec00d0168103fe77217028f0);\n",
              "            \n",
              "        \n",
              "\n",
              "        marker_fc14250073a9a3fc26b35788565e6665.bindPopup(popup_3adf184b9d813df54c19b18ad7650c48)\n",
              "        ;\n",
              "\n",
              "        \n",
              "    \n",
              "    \n",
              "            var marker_7a12c6e5e6589f07a2283c168e84b600 = L.marker(\n",
              "                [22.955936324786325, 72.58499815479583],\n",
              "                {}\n",
              "            ).addTo(map_4f91d7f65f716519cf38f97bf913f3df);\n",
              "        \n",
              "    \n",
              "            var icon_7a5584951e182bee7b9e78d101e09901 = L.AwesomeMarkers.icon(\n",
              "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;green&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n",
              "            );\n",
              "            marker_7a12c6e5e6589f07a2283c168e84b600.setIcon(icon_7a5584951e182bee7b9e78d101e09901);\n",
              "        \n",
              "    \n",
              "        var popup_6358f293e7898ec6dc5d1c6f074d6a3c = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
              "\n",
              "        \n",
              "            \n",
              "                var html_5e4c997eaa7e6a97a1f8682eb195e3c6 = $(`&lt;div id=&quot;html_5e4c997eaa7e6a97a1f8682eb195e3c6&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;22.955936324786325&lt;/div&gt;`)[0];\n",
              "                popup_6358f293e7898ec6dc5d1c6f074d6a3c.setContent(html_5e4c997eaa7e6a97a1f8682eb195e3c6);\n",
              "            \n",
              "        \n",
              "\n",
              "        marker_7a12c6e5e6589f07a2283c168e84b600.bindPopup(popup_6358f293e7898ec6dc5d1c6f074d6a3c)\n",
              "        ;\n",
              "\n",
              "        \n",
              "    \n",
              "    \n",
              "            var marker_b1fb8c42b45f125881f4d594656e52c7 = L.marker(\n",
              "                [23.040927252609603, 72.63644627139875],\n",
              "                {}\n",
              "            ).addTo(map_4f91d7f65f716519cf38f97bf913f3df);\n",
              "        \n",
              "    \n",
              "            var icon_bd1da3784601b848333c9a70ad1fbd19 = L.AwesomeMarkers.icon(\n",
              "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;green&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n",
              "            );\n",
              "            marker_b1fb8c42b45f125881f4d594656e52c7.setIcon(icon_bd1da3784601b848333c9a70ad1fbd19);\n",
              "        \n",
              "    \n",
              "        var popup_a126d874786fb221034569aa4202a36b = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
              "\n",
              "        \n",
              "            \n",
              "                var html_26a139c6a84b2c91598cf1465bf513fa = $(`&lt;div id=&quot;html_26a139c6a84b2c91598cf1465bf513fa&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;23.040927252609603&lt;/div&gt;`)[0];\n",
              "                popup_a126d874786fb221034569aa4202a36b.setContent(html_26a139c6a84b2c91598cf1465bf513fa);\n",
              "            \n",
              "        \n",
              "\n",
              "        marker_b1fb8c42b45f125881f4d594656e52c7.bindPopup(popup_a126d874786fb221034569aa4202a36b)\n",
              "        ;\n",
              "\n",
              "        \n",
              "    \n",
              "    \n",
              "            var marker_29895f2e24d7b5af37042f9bdbdc277e = L.marker(\n",
              "                [23.044958955230495, 72.49003477570922],\n",
              "                {}\n",
              "            ).addTo(map_4f91d7f65f716519cf38f97bf913f3df);\n",
              "        \n",
              "    \n",
              "            var icon_0ad33601beec4e26e828f5f7308b2c27 = L.AwesomeMarkers.icon(\n",
              "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;green&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n",
              "            );\n",
              "            marker_29895f2e24d7b5af37042f9bdbdc277e.setIcon(icon_0ad33601beec4e26e828f5f7308b2c27);\n",
              "        \n",
              "    \n",
              "        var popup_086ca7601ca2a02d30ce30778165b9e2 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
              "\n",
              "        \n",
              "            \n",
              "                var html_d87047eaf1dacfb4548af6fa1814dc7b = $(`&lt;div id=&quot;html_d87047eaf1dacfb4548af6fa1814dc7b&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;23.044958955230495&lt;/div&gt;`)[0];\n",
              "                popup_086ca7601ca2a02d30ce30778165b9e2.setContent(html_d87047eaf1dacfb4548af6fa1814dc7b);\n",
              "            \n",
              "        \n",
              "\n",
              "        marker_29895f2e24d7b5af37042f9bdbdc277e.bindPopup(popup_086ca7601ca2a02d30ce30778165b9e2)\n",
              "        ;\n",
              "\n",
              "        \n",
              "    \n",
              "    \n",
              "            var marker_ff70b7235646b81e9cd8e074e2e62164 = L.marker(\n",
              "                [23.08175891504329, 72.51990115367965],\n",
              "                {}\n",
              "            ).addTo(map_4f91d7f65f716519cf38f97bf913f3df);\n",
              "        \n",
              "    \n",
              "            var icon_9cf2ffacc0f680926024c9a03c5e574e = L.AwesomeMarkers.icon(\n",
              "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;green&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n",
              "            );\n",
              "            marker_ff70b7235646b81e9cd8e074e2e62164.setIcon(icon_9cf2ffacc0f680926024c9a03c5e574e);\n",
              "        \n",
              "    \n",
              "        var popup_a44b6e398333bdc2c14c554f85325f1f = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
              "\n",
              "        \n",
              "            \n",
              "                var html_11275c5f31a76cb1e48a4722a5f517ce = $(`&lt;div id=&quot;html_11275c5f31a76cb1e48a4722a5f517ce&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;23.08175891504329&lt;/div&gt;`)[0];\n",
              "                popup_a44b6e398333bdc2c14c554f85325f1f.setContent(html_11275c5f31a76cb1e48a4722a5f517ce);\n",
              "            \n",
              "        \n",
              "\n",
              "        marker_ff70b7235646b81e9cd8e074e2e62164.bindPopup(popup_a44b6e398333bdc2c14c554f85325f1f)\n",
              "        ;\n",
              "\n",
              "        \n",
              "    \n",
              "    \n",
              "            var marker_999cf756d89debb86068852df87a3ed9 = L.marker(\n",
              "                [23.07147745596107, 72.54863690997567],\n",
              "                {}\n",
              "            ).addTo(map_4f91d7f65f716519cf38f97bf913f3df);\n",
              "        \n",
              "    \n",
              "            var icon_677b6168817ff030004001bb49c8f3b6 = L.AwesomeMarkers.icon(\n",
              "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;green&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n",
              "            );\n",
              "            marker_999cf756d89debb86068852df87a3ed9.setIcon(icon_677b6168817ff030004001bb49c8f3b6);\n",
              "        \n",
              "    \n",
              "        var popup_43d9f112f4633ca21ecb2ffacce600f8 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
              "\n",
              "        \n",
              "            \n",
              "                var html_2f3c0878e73c27bd81e6083387105ef4 = $(`&lt;div id=&quot;html_2f3c0878e73c27bd81e6083387105ef4&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;23.07147745596107&lt;/div&gt;`)[0];\n",
              "                popup_43d9f112f4633ca21ecb2ffacce600f8.setContent(html_2f3c0878e73c27bd81e6083387105ef4);\n",
              "            \n",
              "        \n",
              "\n",
              "        marker_999cf756d89debb86068852df87a3ed9.bindPopup(popup_43d9f112f4633ca21ecb2ffacce600f8)\n",
              "        ;\n",
              "\n",
              "        \n",
              "    \n",
              "    \n",
              "            var marker_e9cd825ae3930667e03577c1e0c55e63 = L.marker(\n",
              "                [22.9448405075, 72.65963802125],\n",
              "                {}\n",
              "            ).addTo(map_4f91d7f65f716519cf38f97bf913f3df);\n",
              "        \n",
              "    \n",
              "            var icon_d36d118d47a144967ab947779811a793 = L.AwesomeMarkers.icon(\n",
              "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;green&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n",
              "            );\n",
              "            marker_e9cd825ae3930667e03577c1e0c55e63.setIcon(icon_d36d118d47a144967ab947779811a793);\n",
              "        \n",
              "    \n",
              "        var popup_5cfa2a0bb13b8f65b310b0da38113ad8 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
              "\n",
              "        \n",
              "            \n",
              "                var html_d570c7f6a76a826611b0dc97ba06d65d = $(`&lt;div id=&quot;html_d570c7f6a76a826611b0dc97ba06d65d&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;22.9448405075&lt;/div&gt;`)[0];\n",
              "                popup_5cfa2a0bb13b8f65b310b0da38113ad8.setContent(html_d570c7f6a76a826611b0dc97ba06d65d);\n",
              "            \n",
              "        \n",
              "\n",
              "        marker_e9cd825ae3930667e03577c1e0c55e63.bindPopup(popup_5cfa2a0bb13b8f65b310b0da38113ad8)\n",
              "        ;\n",
              "\n",
              "        \n",
              "    \n",
              "    \n",
              "            var marker_8375ccf680f078bed09e55591d7a71fc = L.marker(\n",
              "                [23.02287300105374, 72.6641537881981],\n",
              "                {}\n",
              "            ).addTo(map_4f91d7f65f716519cf38f97bf913f3df);\n",
              "        \n",
              "    \n",
              "            var icon_4b6cc431e69a907b1226122a8f579557 = L.AwesomeMarkers.icon(\n",
              "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;green&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n",
              "            );\n",
              "            marker_8375ccf680f078bed09e55591d7a71fc.setIcon(icon_4b6cc431e69a907b1226122a8f579557);\n",
              "        \n",
              "    \n",
              "        var popup_9b579dbe2dbcc25d075105e2e2e41593 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
              "\n",
              "        \n",
              "            \n",
              "                var html_01ca2d38e79d18246d3aa75983f7a72f = $(`&lt;div id=&quot;html_01ca2d38e79d18246d3aa75983f7a72f&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;23.02287300105374&lt;/div&gt;`)[0];\n",
              "                popup_9b579dbe2dbcc25d075105e2e2e41593.setContent(html_01ca2d38e79d18246d3aa75983f7a72f);\n",
              "            \n",
              "        \n",
              "\n",
              "        marker_8375ccf680f078bed09e55591d7a71fc.bindPopup(popup_9b579dbe2dbcc25d075105e2e2e41593)\n",
              "        ;\n",
              "\n",
              "        \n",
              "    \n",
              "    \n",
              "            var marker_4d766b2120305df0732972e581b8090e = L.marker(\n",
              "                [22.986716281818182, 72.59082542683983],\n",
              "                {}\n",
              "            ).addTo(map_4f91d7f65f716519cf38f97bf913f3df);\n",
              "        \n",
              "    \n",
              "            var icon_d0beccdb7f261a100370b7cbfec05595 = L.AwesomeMarkers.icon(\n",
              "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;green&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n",
              "            );\n",
              "            marker_4d766b2120305df0732972e581b8090e.setIcon(icon_d0beccdb7f261a100370b7cbfec05595);\n",
              "        \n",
              "    \n",
              "        var popup_4e1fb06ff01f78ac5843a657869af9c6 = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
              "\n",
              "        \n",
              "            \n",
              "                var html_daa66ddfe60801802cd7ee2be040de46 = $(`&lt;div id=&quot;html_daa66ddfe60801802cd7ee2be040de46&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;22.986716281818182&lt;/div&gt;`)[0];\n",
              "                popup_4e1fb06ff01f78ac5843a657869af9c6.setContent(html_daa66ddfe60801802cd7ee2be040de46);\n",
              "            \n",
              "        \n",
              "\n",
              "        marker_4d766b2120305df0732972e581b8090e.bindPopup(popup_4e1fb06ff01f78ac5843a657869af9c6)\n",
              "        ;\n",
              "\n",
              "        \n",
              "    \n",
              "    \n",
              "            var marker_2f44b4138abef291ebedc25450339d6d = L.marker(\n",
              "                [23.046060876166244, 72.539034927905],\n",
              "                {}\n",
              "            ).addTo(map_4f91d7f65f716519cf38f97bf913f3df);\n",
              "        \n",
              "    \n",
              "            var icon_bdd9c117b85e56a7e785825bba19c773 = L.AwesomeMarkers.icon(\n",
              "                {&quot;extraClasses&quot;: &quot;fa-rotate-0&quot;, &quot;icon&quot;: &quot;info-sign&quot;, &quot;iconColor&quot;: &quot;white&quot;, &quot;markerColor&quot;: &quot;green&quot;, &quot;prefix&quot;: &quot;glyphicon&quot;}\n",
              "            );\n",
              "            marker_2f44b4138abef291ebedc25450339d6d.setIcon(icon_bdd9c117b85e56a7e785825bba19c773);\n",
              "        \n",
              "    \n",
              "        var popup_a28d0bc4dde16c4c53de9c522d191c9f = L.popup({&quot;maxWidth&quot;: &quot;100%&quot;});\n",
              "\n",
              "        \n",
              "            \n",
              "                var html_135e426039b55e649f894e8090486bcf = $(`&lt;div id=&quot;html_135e426039b55e649f894e8090486bcf&quot; style=&quot;width: 100.0%; height: 100.0%;&quot;&gt;23.046060876166244&lt;/div&gt;`)[0];\n",
              "                popup_a28d0bc4dde16c4c53de9c522d191c9f.setContent(html_135e426039b55e649f894e8090486bcf);\n",
              "            \n",
              "        \n",
              "\n",
              "        marker_2f44b4138abef291ebedc25450339d6d.bindPopup(popup_a28d0bc4dde16c4c53de9c522d191c9f)\n",
              "        ;\n",
              "\n",
              "        \n",
              "    \n",
              "&lt;/script&gt;\n",
              "&lt;/html&gt;\" style=\"position:absolute;width:100%;height:100%;left:0;top:0;border:none !important;\" allowfullscreen webkitallowfullscreen mozallowfullscreen></iframe></div></div>"
            ]
          },
          "metadata": {},
          "execution_count": 113
        }
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 114,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        },
        "id": "la3Pvx7tXmDE",
        "outputId": "cbc59816-b3fd-42f4-bbc5-8799fcccde00"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                     driverId  tripId           startLocation  tripDistance  \\\n",
              "startTime                                                                     \n",
              "2023-05-01 14:23:00         1       0  [22.950475, 72.600508]           4.3   \n",
              "2023-05-01 18:13:00         1       1  [23.053141, 72.600997]           3.3   \n",
              "2023-05-01 22:33:00         1       2  [23.038868, 72.478913]           3.7   \n",
              "2023-05-01 22:51:00         1       3  [22.973294, 72.503798]           8.6   \n",
              "2023-05-02 22:47:00         1       4   [22.988351, 72.57377]           4.8   \n",
              "...                       ...     ...                     ...           ...   \n",
              "2023-03-30 22:20:00        19    2435  [22.959737, 72.514418]           6.3   \n",
              "2023-03-30 22:46:00        19    2436  [22.994559, 72.484047]           1.6   \n",
              "2023-03-30 22:49:00        19    2437  [22.960795, 72.533848]          12.7   \n",
              "2023-03-31 22:23:00        19    2438  [23.005314, 72.519584]           7.4   \n",
              "2023-03-31 22:48:00        19    2439  [22.961198, 72.612485]           2.6   \n",
              "\n",
              "                     tripSpeed  tripDuration             endLocation  \\\n",
              "startTime                                                              \n",
              "2023-05-01 14:23:00      26.28            10  [22.977525, 72.629892]   \n",
              "2023-05-01 18:13:00      22.72             9  [23.077102, 72.619235]   \n",
              "2023-05-01 22:33:00      17.76            12  [23.057751, 72.508226]   \n",
              "2023-05-01 22:51:00      23.14            22    [23.02796, 72.56321]   \n",
              "2023-05-02 22:47:00      20.41            14  [23.027855, 72.592882]   \n",
              "...                        ...           ...                     ...   \n",
              "2023-03-30 22:20:00      26.02            15  [22.992455, 72.565189]   \n",
              "2023-03-30 22:46:00      21.84             4  [23.004924, 72.495308]   \n",
              "2023-03-30 22:49:00      25.88            29  [22.960747, 72.657887]   \n",
              "2023-03-31 22:23:00      21.96            20  [23.071636, 72.519584]   \n",
              "2023-03-31 22:48:00      21.71             7  [22.972881, 72.634467]   \n",
              "\n",
              "                     tripFare  paymentType             endTime          X  \\\n",
              "startTime                                                                   \n",
              "2023-05-01 14:23:00        49            0 2023-05-01 14:32:00  22.950475   \n",
              "2023-05-01 18:13:00        39            1 2023-05-01 18:21:00  23.053141   \n",
              "2023-05-01 22:33:00        43            1 2023-05-01 22:45:00  23.038868   \n",
              "2023-05-01 22:51:00        92            0 2023-05-01 23:13:00  22.973294   \n",
              "2023-05-02 22:47:00        54            1 2023-05-02 23:01:00  22.988351   \n",
              "...                       ...          ...                 ...        ...   \n",
              "2023-03-30 22:20:00        69            1 2023-03-30 22:34:00  22.959737   \n",
              "2023-03-30 22:46:00        22            1 2023-03-30 22:50:00  22.994559   \n",
              "2023-03-30 22:49:00       133            1 2023-03-30 23:18:00  22.960795   \n",
              "2023-03-31 22:23:00        80            1 2023-03-31 22:43:00  23.005314   \n",
              "2023-03-31 22:48:00        32            1 2023-03-31 22:55:00  22.961198   \n",
              "\n",
              "                             Y  Zone  \n",
              "startTime                             \n",
              "2023-05-01 14:23:00  72.600508    29  \n",
              "2023-05-01 18:13:00  72.600997    37  \n",
              "2023-05-01 22:33:00  72.478913    43  \n",
              "2023-05-01 22:51:00  72.503798     4  \n",
              "2023-05-02 22:47:00  72.573770     2  \n",
              "...                        ...   ...  \n",
              "2023-03-30 22:20:00  72.514418    38  \n",
              "2023-03-30 22:46:00  72.484047    14  \n",
              "2023-03-30 22:49:00  72.533848    40  \n",
              "2023-03-31 22:23:00  72.519584    30  \n",
              "2023-03-31 22:48:00  72.612485    29  \n",
              "\n",
              "[99017 rows x 13 columns]"
            ],
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              "\n",
              "\n",
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              "    <div class=\"colab-df-container\">\n",
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              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>driverId</th>\n",
              "      <th>tripId</th>\n",
              "      <th>startLocation</th>\n",
              "      <th>tripDistance</th>\n",
              "      <th>tripSpeed</th>\n",
              "      <th>tripDuration</th>\n",
              "      <th>endLocation</th>\n",
              "      <th>tripFare</th>\n",
              "      <th>paymentType</th>\n",
              "      <th>endTime</th>\n",
              "      <th>X</th>\n",
              "      <th>Y</th>\n",
              "      <th>Zone</th>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>startTime</th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "      <th></th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>2023-05-01 14:23:00</th>\n",
              "      <td>1</td>\n",
              "      <td>0</td>\n",
              "      <td>[22.950475, 72.600508]</td>\n",
              "      <td>4.3</td>\n",
              "      <td>26.28</td>\n",
              "      <td>10</td>\n",
              "      <td>[22.977525, 72.629892]</td>\n",
              "      <td>49</td>\n",
              "      <td>0</td>\n",
              "      <td>2023-05-01 14:32:00</td>\n",
              "      <td>22.950475</td>\n",
              "      <td>72.600508</td>\n",
              "      <td>29</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2023-05-01 18:13:00</th>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "      <td>[23.053141, 72.600997]</td>\n",
              "      <td>3.3</td>\n",
              "      <td>22.72</td>\n",
              "      <td>9</td>\n",
              "      <td>[23.077102, 72.619235]</td>\n",
              "      <td>39</td>\n",
              "      <td>1</td>\n",
              "      <td>2023-05-01 18:21:00</td>\n",
              "      <td>23.053141</td>\n",
              "      <td>72.600997</td>\n",
              "      <td>37</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2023-05-01 22:33:00</th>\n",
              "      <td>1</td>\n",
              "      <td>2</td>\n",
              "      <td>[23.038868, 72.478913]</td>\n",
              "      <td>3.7</td>\n",
              "      <td>17.76</td>\n",
              "      <td>12</td>\n",
              "      <td>[23.057751, 72.508226]</td>\n",
              "      <td>43</td>\n",
              "      <td>1</td>\n",
              "      <td>2023-05-01 22:45:00</td>\n",
              "      <td>23.038868</td>\n",
              "      <td>72.478913</td>\n",
              "      <td>43</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2023-05-01 22:51:00</th>\n",
              "      <td>1</td>\n",
              "      <td>3</td>\n",
              "      <td>[22.973294, 72.503798]</td>\n",
              "      <td>8.6</td>\n",
              "      <td>23.14</td>\n",
              "      <td>22</td>\n",
              "      <td>[23.02796, 72.56321]</td>\n",
              "      <td>92</td>\n",
              "      <td>0</td>\n",
              "      <td>2023-05-01 23:13:00</td>\n",
              "      <td>22.973294</td>\n",
              "      <td>72.503798</td>\n",
              "      <td>4</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2023-05-02 22:47:00</th>\n",
              "      <td>1</td>\n",
              "      <td>4</td>\n",
              "      <td>[22.988351, 72.57377]</td>\n",
              "      <td>4.8</td>\n",
              "      <td>20.41</td>\n",
              "      <td>14</td>\n",
              "      <td>[23.027855, 72.592882]</td>\n",
              "      <td>54</td>\n",
              "      <td>1</td>\n",
              "      <td>2023-05-02 23:01:00</td>\n",
              "      <td>22.988351</td>\n",
              "      <td>72.573770</td>\n",
              "      <td>2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2023-03-30 22:20:00</th>\n",
              "      <td>19</td>\n",
              "      <td>2435</td>\n",
              "      <td>[22.959737, 72.514418]</td>\n",
              "      <td>6.3</td>\n",
              "      <td>26.02</td>\n",
              "      <td>15</td>\n",
              "      <td>[22.992455, 72.565189]</td>\n",
              "      <td>69</td>\n",
              "      <td>1</td>\n",
              "      <td>2023-03-30 22:34:00</td>\n",
              "      <td>22.959737</td>\n",
              "      <td>72.514418</td>\n",
              "      <td>38</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2023-03-30 22:46:00</th>\n",
              "      <td>19</td>\n",
              "      <td>2436</td>\n",
              "      <td>[22.994559, 72.484047]</td>\n",
              "      <td>1.6</td>\n",
              "      <td>21.84</td>\n",
              "      <td>4</td>\n",
              "      <td>[23.004924, 72.495308]</td>\n",
              "      <td>22</td>\n",
              "      <td>1</td>\n",
              "      <td>2023-03-30 22:50:00</td>\n",
              "      <td>22.994559</td>\n",
              "      <td>72.484047</td>\n",
              "      <td>14</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2023-03-30 22:49:00</th>\n",
              "      <td>19</td>\n",
              "      <td>2437</td>\n",
              "      <td>[22.960795, 72.533848]</td>\n",
              "      <td>12.7</td>\n",
              "      <td>25.88</td>\n",
              "      <td>29</td>\n",
              "      <td>[22.960747, 72.657887]</td>\n",
              "      <td>133</td>\n",
              "      <td>1</td>\n",
              "      <td>2023-03-30 23:18:00</td>\n",
              "      <td>22.960795</td>\n",
              "      <td>72.533848</td>\n",
              "      <td>40</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2023-03-31 22:23:00</th>\n",
              "      <td>19</td>\n",
              "      <td>2438</td>\n",
              "      <td>[23.005314, 72.519584]</td>\n",
              "      <td>7.4</td>\n",
              "      <td>21.96</td>\n",
              "      <td>20</td>\n",
              "      <td>[23.071636, 72.519584]</td>\n",
              "      <td>80</td>\n",
              "      <td>1</td>\n",
              "      <td>2023-03-31 22:43:00</td>\n",
              "      <td>23.005314</td>\n",
              "      <td>72.519584</td>\n",
              "      <td>30</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2023-03-31 22:48:00</th>\n",
              "      <td>19</td>\n",
              "      <td>2439</td>\n",
              "      <td>[22.961198, 72.612485]</td>\n",
              "      <td>2.6</td>\n",
              "      <td>21.71</td>\n",
              "      <td>7</td>\n",
              "      <td>[22.972881, 72.634467]</td>\n",
              "      <td>32</td>\n",
              "      <td>1</td>\n",
              "      <td>2023-03-31 22:55:00</td>\n",
              "      <td>22.961198</td>\n",
              "      <td>72.612485</td>\n",
              "      <td>29</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>99017 rows × 13 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-0db70538-3592-463a-954b-b6e6dd571d78')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "\n",
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              "              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",
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              "    </g>\n",
              "</svg>\n",
              "      </button>\n",
              "    </div>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\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-quickchart: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",
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              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "    background-color: #3B4455;\n",
              "    fill: #D2E3FC;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart: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",
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              "\n",
              "    <script>\n",
              "      async function quickchart(key) {\n",
              "        const containerElement = document.querySelector('#' + key);\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      }\n",
              "    </script>\n",
              "\n",
              "      <script>\n",
              "\n",
              "function displayQuickchartButton(domScope) {\n",
              "  let quickchartButtonEl =\n",
              "    domScope.querySelector('#df-52af744f-f00a-4657-925c-4f07bb71ba5f button.colab-df-quickchart');\n",
              "  quickchartButtonEl.style.display =\n",
              "    google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "}\n",
              "\n",
              "        displayQuickchartButton(document);\n",
              "      </script>\n",
              "      <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
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              "\n",
              "    .colab-df-convert {\n",
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              "      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",
              "    [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-0db70538-3592-463a-954b-b6e6dd571d78 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-0db70538-3592-463a-954b-b6e6dd571d78');\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",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 114
        }
      ],
      "source": [
        "merged_df"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 115,
      "metadata": {
        "id": "9sSCY1tBXm5V"
      },
      "outputs": [],
      "source": [
        "# Group the data by zone and 15-minute interval, then count the number of unique driver IDs\n",
        "df_final = merged_df.groupby(['Zone', pd.Grouper(freq='15T')]).agg({'driverId': pd.Series.nunique,'tripDistance':'mean','tripDuration':'mean'})"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df_final = df_final.rename(columns={'driverId': 'ZoneDemand'})\n",
        "df_final.reset_index(inplace=True)\n",
        "len(df_final)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "ppvIVB2Zhyx0",
        "outputId": "b6523c03-abb6-4479-e446-96c4881d7a6a"
      },
      "execution_count": 116,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "90080"
            ]
          },
          "metadata": {},
          "execution_count": 116
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df_final.sort_values('startTime').head(1000)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 0
        },
        "id": "xbc-QasSyxFj",
        "outputId": "b4418f9e-483a-465f-a54c-d585bf94d91e"
      },
      "execution_count": 117,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "       Zone           startTime  ZoneDemand  tripDistance  tripDuration\n",
              "40483    22 2022-01-01 06:30:00           1           4.6          13.0\n",
              "37449    20 2022-01-01 06:45:00           1          12.1          36.0\n",
              "68989    38 2022-01-01 07:30:00           1           4.4          10.0\n",
              "65444    36 2022-01-01 07:45:00           1           7.9          20.0\n",
              "75343    41 2022-01-01 08:45:00           1           9.2          33.0\n",
              "...     ...                 ...         ...           ...           ...\n",
              "30801    16 2022-01-08 07:15:00           1           4.4          12.0\n",
              "25077    13 2022-01-08 07:30:00           1           2.6           6.0\n",
              "78628    43 2022-01-08 07:45:00           1           4.6          14.0\n",
              "80654    44 2022-01-08 07:45:00           1           5.5          19.0\n",
              "63267    35 2022-01-08 07:45:00           1           3.3          10.0\n",
              "\n",
              "[1000 rows x 5 columns]"
            ],
            "text/html": [
              "\n",
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Zone</th>\n",
              "      <th>startTime</th>\n",
              "      <th>ZoneDemand</th>\n",
              "      <th>tripDistance</th>\n",
              "      <th>tripDuration</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>40483</th>\n",
              "      <td>22</td>\n",
              "      <td>2022-01-01 06:30:00</td>\n",
              "      <td>1</td>\n",
              "      <td>4.6</td>\n",
              "      <td>13.0</td>\n",
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              "    <tr>\n",
              "      <th>37449</th>\n",
              "      <td>20</td>\n",
              "      <td>2022-01-01 06:45:00</td>\n",
              "      <td>1</td>\n",
              "      <td>12.1</td>\n",
              "      <td>36.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>68989</th>\n",
              "      <td>38</td>\n",
              "      <td>2022-01-01 07:30:00</td>\n",
              "      <td>1</td>\n",
              "      <td>4.4</td>\n",
              "      <td>10.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>65444</th>\n",
              "      <td>36</td>\n",
              "      <td>2022-01-01 07:45:00</td>\n",
              "      <td>1</td>\n",
              "      <td>7.9</td>\n",
              "      <td>20.0</td>\n",
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              "    <tr>\n",
              "      <th>75343</th>\n",
              "      <td>41</td>\n",
              "      <td>2022-01-01 08:45:00</td>\n",
              "      <td>1</td>\n",
              "      <td>9.2</td>\n",
              "      <td>33.0</td>\n",
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              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>30801</th>\n",
              "      <td>16</td>\n",
              "      <td>2022-01-08 07:15:00</td>\n",
              "      <td>1</td>\n",
              "      <td>4.4</td>\n",
              "      <td>12.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25077</th>\n",
              "      <td>13</td>\n",
              "      <td>2022-01-08 07:30:00</td>\n",
              "      <td>1</td>\n",
              "      <td>2.6</td>\n",
              "      <td>6.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>78628</th>\n",
              "      <td>43</td>\n",
              "      <td>2022-01-08 07:45:00</td>\n",
              "      <td>1</td>\n",
              "      <td>4.6</td>\n",
              "      <td>14.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>80654</th>\n",
              "      <td>44</td>\n",
              "      <td>2022-01-08 07:45:00</td>\n",
              "      <td>1</td>\n",
              "      <td>5.5</td>\n",
              "      <td>19.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>63267</th>\n",
              "      <td>35</td>\n",
              "      <td>2022-01-08 07:45:00</td>\n",
              "      <td>1</td>\n",
              "      <td>3.3</td>\n",
              "      <td>10.0</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>1000 rows × 5 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-aa234b97-f448-4e2b-b158-77e413fba50c')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "\n",
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              "  </svg>\n",
              "      </button>\n",
              "\n",
              "\n",
              "\n",
              "    <div id=\"df-e91b1a9b-b780-4758-b89a-82ea5792c830\">\n",
              "      <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-e91b1a9b-b780-4758-b89a-82ea5792c830')\"\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",
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              "    </g>\n",
              "</svg>\n",
              "      </button>\n",
              "    </div>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\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-quickchart:hover {\n",
              "    background-color: #E2EBFA;\n",
              "    box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: #174EA6;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "    background-color: #3B4455;\n",
              "    fill: #D2E3FC;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart: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",
              "      async function quickchart(key) {\n",
              "        const containerElement = document.querySelector('#' + key);\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      }\n",
              "    </script>\n",
              "\n",
              "      <script>\n",
              "\n",
              "function displayQuickchartButton(domScope) {\n",
              "  let quickchartButtonEl =\n",
              "    domScope.querySelector('#df-e91b1a9b-b780-4758-b89a-82ea5792c830 button.colab-df-quickchart');\n",
              "  quickchartButtonEl.style.display =\n",
              "    google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "}\n",
              "\n",
              "        displayQuickchartButton(document);\n",
              "      </script>\n",
              "      <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
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              "      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",
              "    [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-aa234b97-f448-4e2b-b158-77e413fba50c 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-aa234b97-f448-4e2b-b158-77e413fba50c');\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",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 117
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Extract relevant features from startTime\n",
        "df_final['year'] = df_final['startTime'].dt.year\n",
        "df_final['month'] = df_final['startTime'].dt.month\n",
        "df_final['day_of_week'] = df_final['startTime'].dt.dayofweek\n",
        "df_final['hour'] = df_final['startTime'].dt.hour\n",
        "df_final['minute'] = df_final['startTime'].dt.minute\n",
        "df_final['time'] = df_final['hour'] + df_final['minute'] / 60.0\n",
        "\n",
        "# Convert categorical features using label encoder\n",
        "# Initialize LabelEncoder\n",
        "label_encoder = LabelEncoder()\n",
        "\n",
        "# Encode day_of_week using LabelEncoder\n",
        "df_final['day_of_week'] = label_encoder.fit_transform(df_final['day_of_week'])"
      ],
      "metadata": {
        "id": "oDIdUoEq5hYu"
      },
      "execution_count": 118,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df_final['hour']"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "r_OG2Rgm6sOf",
        "outputId": "9302f09b-ed82-49a5-a344-01a81efe788a"
      },
      "execution_count": 119,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0        21\n",
              "1        21\n",
              "2        22\n",
              "3        18\n",
              "4        20\n",
              "         ..\n",
              "90075    22\n",
              "90076     8\n",
              "90077    22\n",
              "90078    22\n",
              "90079     6\n",
              "Name: hour, Length: 90080, dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 119
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Checking which features except Distance, Time and Zone are to be included from the time format"
      ],
      "metadata": {
        "id": "kzymVv7n88ar"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "X = df_final[['month','day_of_week','time']]\n",
        "y = df_final['ZoneDemand']\n",
        "selector = SelectKBest(score_func=f_regression, k=2)\n",
        "selected_features = selector.fit_transform(X, y)\n",
        "selected_columns = X.columns[selector.get_support()]\n",
        "\n",
        "# Display the new DataFrame\n",
        "print(selected_columns)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "MSpC72t71NJu",
        "outputId": "55a25de8-a8c1-456b-b70d-dee74ca485d4"
      },
      "execution_count": 5,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Index(['month', 'time'], dtype='object')\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Taking final Features to be Zone, Distance, Duration, time of booking and month."
      ],
      "metadata": {
        "id": "22QtvDHx9SuJ"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "###**Machine Learning Models Section**"
      ],
      "metadata": {
        "id": "9fleSRwa_GBD"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from sklearn.model_selection import train_test_split\n",
        "from sklearn.metrics import accuracy_score\n",
        "import xgboost as xgb\n",
        "from sklearn.metrics import mean_squared_error\n",
        "from sklearn.linear_model import LogisticRegression"
      ],
      "metadata": {
        "id": "4MVwnuJho50b"
      },
      "execution_count": 6,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "#df_final.to_json('df_final.json',orient='records')"
      ],
      "metadata": {
        "id": "M7wsDOoj-ZuP"
      },
      "execution_count": 7,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df_final = pd.read_json(\"/content/df_final.json\")"
      ],
      "metadata": {
        "id": "RMTnhR-ooDI3"
      },
      "execution_count": 6,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "df_final"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 423
        },
        "id": "Q_m3Ad13rnxE",
        "outputId": "f7009854-9259-4060-8b0b-d009e3e1f668"
      },
      "execution_count": 8,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "       Zone      startTime  ZoneDemand  tripDistance  tripDuration  year  \\\n",
              "0         0  1641070800000           1           7.8          31.0  2022   \n",
              "1         0  1641073500000           1          12.7          37.0  2022   \n",
              "2         0  1641077100000           2          11.7          31.0  2022   \n",
              "3         0  1641146400000           1           9.8          34.0  2022   \n",
              "4         0  1641153600000           1           6.6          16.0  2022   \n",
              "...     ...            ...         ...           ...           ...   ...   \n",
              "90075    49  1690754400000           1           5.0          14.0  2023   \n",
              "90076    49  1690793100000           2           8.5          21.5  2023   \n",
              "90077    49  1690841700000           1           1.3           6.0  2023   \n",
              "90078    49  1690842600000           1           8.6          22.0  2023   \n",
              "90079    49  1690872300000           1           4.8          14.0  2023   \n",
              "\n",
              "       month  day_of_week  hour  minute   time  \n",
              "0          1            5    21       0  21.00  \n",
              "1          1            5    21      45  21.75  \n",
              "2          1            5    22      45  22.75  \n",
              "3          1            6    18       0  18.00  \n",
              "4          1            6    20       0  20.00  \n",
              "...      ...          ...   ...     ...    ...  \n",
              "90075      7            6    22       0  22.00  \n",
              "90076      7            0     8      45   8.75  \n",
              "90077      7            0    22      15  22.25  \n",
              "90078      7            0    22      30  22.50  \n",
              "90079      8            1     6      45   6.75  \n",
              "\n",
              "[90080 rows x 11 columns]"
            ],
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              "\n",
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              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
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              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Zone</th>\n",
              "      <th>startTime</th>\n",
              "      <th>ZoneDemand</th>\n",
              "      <th>tripDistance</th>\n",
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              "      <td>6</td>\n",
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              "      <th>4</th>\n",
              "      <td>0</td>\n",
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              "      <td>6.6</td>\n",
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              "      <td>6</td>\n",
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              "      <th>90075</th>\n",
              "      <td>49</td>\n",
              "      <td>1690754400000</td>\n",
              "      <td>1</td>\n",
              "      <td>5.0</td>\n",
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              "      <td>2023</td>\n",
              "      <td>7</td>\n",
              "      <td>6</td>\n",
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              "      <th>90076</th>\n",
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              "      <th>90077</th>\n",
              "      <td>49</td>\n",
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              "      <td>6.0</td>\n",
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              "<p>90080 rows × 11 columns</p>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-d19980fb-5668-42a4-9208-0cc352dd6b84')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
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              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\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-quickchart:hover {\n",
              "    background-color: #E2EBFA;\n",
              "    box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: #174EA6;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "    background-color: #3B4455;\n",
              "    fill: #D2E3FC;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart: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",
              "      async function quickchart(key) {\n",
              "        const containerElement = document.querySelector('#' + key);\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      }\n",
              "    </script>\n",
              "\n",
              "      <script>\n",
              "\n",
              "function displayQuickchartButton(domScope) {\n",
              "  let quickchartButtonEl =\n",
              "    domScope.querySelector('#df-4b50c1c4-7b53-4edf-9ebe-4ce13689942d button.colab-df-quickchart');\n",
              "  quickchartButtonEl.style.display =\n",
              "    google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "}\n",
              "\n",
              "        displayQuickchartButton(document);\n",
              "      </script>\n",
              "      <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\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",
              "    [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-d19980fb-5668-42a4-9208-0cc352dd6b84 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-d19980fb-5668-42a4-9208-0cc352dd6b84');\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",
              "  </div>\n"
            ]
          },
          "metadata": {},
          "execution_count": 8
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "X = df_final[['Zone','tripDistance','time','month']]\n",
        "Y = df_final['ZoneDemand']"
      ],
      "metadata": {
        "id": "4HPTwPpt48Kb"
      },
      "execution_count": 9,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Split the data into training and testing sets\n",
        "X_train, X_test, y_train, y_test = train_test_split(X, Y, test_size=0.3, random_state=42)\n"
      ],
      "metadata": {
        "id": "nqyB0I1d-3sU"
      },
      "execution_count": 10,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "y_test = y_test.values.astype('float32')"
      ],
      "metadata": {
        "id": "EUy-urDlu2Zw"
      },
      "execution_count": 11,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "XGB Model"
      ],
      "metadata": {
        "id": "ABW2Nvft2ZQH"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Initialize and fit the logistic regression model\n",
        "model = xgb.XGBRegressor()\n",
        "model.fit(X_train, y_train.values)\n",
        "\n",
        "# Predict the target variable for the test set\n",
        "y_pred = model.predict(X_test).round()\n",
        "\n",
        "\n",
        "y_pred"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "qChEUMd5o2au",
        "outputId": "3297479f-4873-4a8d-d376-eb7f5454e5ff"
      },
      "execution_count": 12,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "array([1., 1., 1., ..., 1., 2., 1.], dtype=float32)"
            ]
          },
          "metadata": {},
          "execution_count": 12
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Calculate the root mean squared error (RMSE)\n",
        "rmse = mean_squared_error(y_test, y_pred, squared=False)\n",
        "acc = accuracy_score(y_test, y_pred)\n",
        "\n",
        "# Display the accuracy\n",
        "print(\"Root Mean Squared Error:\", rmse)\n",
        "print(\"Accuracy:\", acc)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "7PSZ7J18pDhL",
        "outputId": "7ee2565b-8dab-449b-ebe8-b3af6fb193d8"
      },
      "execution_count": 13,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Root Mean Squared Error: 0.26661763\n",
            "Accuracy: 0.9464550029603316\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Logistic Regression  (gives convergence warning therefore not a good choice)"
      ],
      "metadata": {
        "id": "Q-PcGP1UK1T3"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Initialize and fit the logistic regression model\n",
        "model1 = LogisticRegression()\n",
        "model1.fit(X_train, y_train.values)\n",
        "\n",
        "# Predict the target variable for the test set\n",
        "y_pred = model1.predict(X_test).round()\n",
        "\n",
        "# Calculate the accuracy of the model\n",
        "accuracy = accuracy_score(y_test, y_pred)\n",
        "\n",
        "print(accuracy)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "QoGQFE-7pQni",
        "outputId": "62f32c80-bb06-4eec-b0e0-826e0ec83979"
      },
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "0.9181098283007697\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/sklearn/linear_model/_logistic.py:458: ConvergenceWarning: lbfgs failed to converge (status=1):\n",
            "STOP: TOTAL NO. of ITERATIONS REACHED LIMIT.\n",
            "\n",
            "Increase the number of iterations (max_iter) or scale the data as shown in:\n",
            "    https://scikit-learn.org/stable/modules/preprocessing.html\n",
            "Please also refer to the documentation for alternative solver options:\n",
            "    https://scikit-learn.org/stable/modules/linear_model.html#logistic-regression\n",
            "  n_iter_i = _check_optimize_result(\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Neural Network"
      ],
      "metadata": {
        "id": "O7U9ihoALfeG"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "from tensorflow import keras"
      ],
      "metadata": {
        "id": "x0MyLQz_L2FK"
      },
      "execution_count": 15,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "features = ['Zone','tripDistance','time','month']\n",
        "\n",
        "# Create a feedforward neural network model\n",
        "model = keras.Sequential([\n",
        "    keras.layers.Dense(16, activation='relu', input_shape=(len(features),)),\n",
        "    keras.layers.Dropout(0.7),\n",
        "    keras.layers.Dense(8, activation='relu'),\n",
        "    keras.layers.Dropout(0.7),\n",
        "    keras.layers.Dense(8, activation='relu'),\n",
        "    keras.layers.Dense(1)\n",
        "])\n",
        "\n",
        "# Compile the model\n",
        "model.compile(optimizer='adam', loss='mse', metrics=['accuracy'])\n",
        "\n",
        "# Train the model\n",
        "history = model.fit(X_train, y_train, epochs=10, batch_size=16, verbose=1)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "s-RRp0RbLGS3",
        "outputId": "9afcaa0e-92b3-4628-bf92-42434535804a"
      },
      "execution_count": 16,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Epoch 1/10\n",
            "3941/3941 [==============================] - 20s 4ms/step - loss: 8.6124 - accuracy: 0.7235\n",
            "Epoch 2/10\n",
            "3941/3941 [==============================] - 14s 4ms/step - loss: 0.1434 - accuracy: 0.9089\n",
            "Epoch 3/10\n",
            "3941/3941 [==============================] - 16s 4ms/step - loss: 0.1270 - accuracy: 0.9133\n",
            "Epoch 4/10\n",
            "3941/3941 [==============================] - 14s 3ms/step - loss: 0.1256 - accuracy: 0.9136\n",
            "Epoch 5/10\n",
            "3941/3941 [==============================] - 14s 4ms/step - loss: 0.1252 - accuracy: 0.9136\n",
            "Epoch 6/10\n",
            "3941/3941 [==============================] - 14s 4ms/step - loss: 0.1253 - accuracy: 0.9137\n",
            "Epoch 7/10\n",
            "3941/3941 [==============================] - 14s 4ms/step - loss: 0.1252 - accuracy: 0.9136\n",
            "Epoch 8/10\n",
            "3941/3941 [==============================] - 14s 4ms/step - loss: 0.1251 - accuracy: 0.9136\n",
            "Epoch 9/10\n",
            "3941/3941 [==============================] - 14s 4ms/step - loss: 0.1252 - accuracy: 0.9137\n",
            "Epoch 10/10\n",
            "3941/3941 [==============================] - 14s 4ms/step - loss: 0.1253 - accuracy: 0.9137\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Plot the training history\n",
        "plt.figure(figsize=(12, 6))\n",
        "plt.subplot(1, 2, 1)\n",
        "plt.plot(history.history['loss'], label='Training Loss')\n",
        "plt.title('Loss')\n",
        "plt.xlabel('Epoch')\n",
        "plt.legend()\n",
        "\n",
        "plt.subplot(1, 2, 2)\n",
        "plt.plot(history.history['accuracy'], label='Training Accuracy')\n",
        "plt.title('Accuracy')\n",
        "plt.xlabel('Epoch')\n",
        "plt.legend()\n",
        "\n",
        "plt.tight_layout()\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 607
        },
        "id": "I-dBOWuaL9UO",
        "outputId": "43409510-a511-4f96-a924-edfaf2470726"
      },
      "execution_count": 17,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1200x600 with 2 Axes>"
            ],
            "image/png": 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QCgAAn2pWKPX3v/9dS5Ys0dKlS7V161a99NJLevLJJ/XSSy81+pkZM2aotLTU89q7d+8pF90c5mCigFAKAAD40e9+9zt169ZNPXr0UFRUlKZMmaKJEyfKbvftw4+tHnuFgjx6SgEA4BcRzdn5V7/6lWe2lCT16dNHu3fvVm5ursaPH9/gZ6KjoxUdHX3qlbaQZ6YUy/cAAEALpaSkyOFw1Hvq3b59+5SWltbgZzp06KBXXnlF1dXVOnjwoNLT0zV9+nSdccYZTT5mWlqaampqVFJS4jVb6kTntXrsFewMw/DMsKenFAAAvtWsW3WVlZX17u45HA653e5WLao1pbN8DwAAnKKoqCj1799f69at82xzu91at26dBg0adMLPxsTEKCMjQ3V1dfrnP/+pK664osnH7N+/vyIjI7322blzp/bs2XPS86JlSqtqVe6sk0QoBQCArzVrptSoUaP0yCOP6LTTTtNZZ52lTz75RPPmzdMtt9ziq/pOmbl8j5lSAADgVOTk5Gj8+PEaMGCABg4cqPnz56uiokITJ06UJI0bN04ZGRnKzc2VJH300UfKz89Xv379lJ+frwcffFBut1u//vWvm3zMxMRE3XrrrcrJyVG7du2UkJCgu+++W4MGDdKPf/xj//8hhAFz6V5K2yjFRjksrgYAgNDWrFDq6aef1qxZs/Tzn/9cxcXFSk9P1x133KHZs2f7qr5TZt7hoqcUAAA4Fddff73279+v2bNnq6ioSP369dOaNWs8jcr37NnjNaO8urpaM2fO1DfffKO2bdtq5MiR+stf/uK1DO9kx5Sk3/72t7Lb7Ro9erScTqdGjBih5557zm/XHW7MUIpZUgAA+J7NMAzDnycsKytTYmKiSktLlZCQ4PPzVdW41HP2GknSp3MuUWJspM/PCQAAAoe/xx6BJtyvv7kWvv+t5r72P13ep5OeHXuu1eUAABCUmjr+8O3jXwJAbJRD7dpESWIJHwAAAE7MHC+aLSAAAIDvhHwoJbGEDwAAAE2Td6hSkpRJKAUAgM+FVSjFE/gAAABwIuZ4kZ5SAAD4XliEUumEUgAAAGgCs9F5ZnKcxZUAABD6wiKUMnsC0FMKAAAAjTlcXavSqlpJ9JQCAMAfwiOUYqYUAAAATsIcKybGRqptdITF1QAAEPrCIpQyG1USSgEAAKAx+Z6le8ySAgDAH8IilDJ7Su0/7FR1rcviagAAABCIaHIOAIB/hUUolRwXqdhIhySpqLTa4moAAAAQiGhyDgCAf4VFKGWz2Y41O2cJHwAAABpgLt+jyTkAAP4RFqGUdGwJH0/gAwAAQEPyDlVKoqcUAAD+EjahlNkbII+ZUgAAAGgAPaUAAPCvsAmlzDteBYRSAAAA+IGqGpcOlNdIkrLoKQUAgF+ETSiVwfI9AAAANMKcJdU2OkIJsREWVwMAQHgIm1DK01OKmVIAAAD4AbOfVEZSrGw2m8XVAAAQHsImlDKfolJYWiW327C4GgAAAAQS88YlTc4BAPCfsAmlUuOj5bDbVOsytL/caXU5AAAACCBmi4cMQikAAPwmbEKpCIddaQkxkqQ8+koBAADgOOb4kJlSAAD4T9iEUtJxzc7pKwUAAIDjmOPDjCSevAcAgL+EVyh19M5XAaEUAAAAjmM2OmemFAAA/hNeoZQ5U4rlewAAADjKWedS8eEjPUfpKQUAgP+EVSiVzvI9AAAA/EBhSbUMQ4qJtKt9myirywEAIGyEVShl3vliphQAAABMx/pJxcpms1lcDQAA4SO8QqkkekoBAADAm9lPKiOZJucAAPhTWIZSh511Kq2qtbgaAAAABAJzFj1NzgEA8K+wCqVioxxqd7RPAEv4AAAAIEl5xy3fAwAA/hNWoZR03BP4WMIHAAAASXnMlAIAwBJhG0rRVwoAAAASy/cAALBK2IVS6cyUAgAAwFF1LreKyqolSZk0OgcAwK/CLpTKOHoHjJ5SAAAAKCqrlsttKMphV4e20VaXAwBAWAm/UIqZUgAAADjK7CfVKSlGdrvN4moAAAgvYRdKmb0CCKUAAABAPykAAKwTdqGU2VNq/2GnqmtdFlcDAAAAK5kzpczZ9AAAwH/CLpRKjotUbKRDklRYWm1xNQAAALBSfkmlJJqcAwBghbALpWw2m6fZeQFL+AAAAMKa2dKBmVIAAPhf2IVS0rElfDyBDwAAILzl0VMKAADLhGUoZd4Jy2OmFAAAQNhyuw3PzPkMQikAAPwuLEOpTJbvAQAAhL3iw07Vugw57DalJcRYXQ4AAGEnLEOpDJbvAQAAhD2zyXlaQowiHGE5LAYAwFJh+dvX01OKmVIAAABhy+wnxdI9AACsEZahlDnwKCytktttWFwNAAAArECTcwAArBWWoVRqfLQcdptqXYb2lzutLgcAAAAWMGfNZyYRSgEAYIWwDKUiHHZPM8s8+koBAACEpWMzpeIsrgQAgPAUlqGUdFyzc/pKAQAAhKX8Q0candNTCgAAa4RvKJXME/gAAADClWEYx5bvEUoBAGCJ8A2ljs6UKmCmFAAAQNg5WFGj6lq3bDapUyKhFAAAVgjbUCqd5XsAAABhy+wnlRofo6iIsB0SAwBgqbD9DczyPQAAgPBljgHpJwUAgHXCN5Ri+R4AAEDYyjObnCcRSgEAYJWwD6UOO+tUWlVrcTUAACAYPPvss+rcubNiYmKUnZ2tTZs2nXD/+fPnq3v37oqNjVVWVpamTZum6upqz/udO3eWzWar95o8ebJnn2HDhtV7/8477/TZNYYLmpwDAGC9CKsLsEpslEPt2kTp+4oa5R+qUmJspNUlAQCAALZ8+XLl5ORowYIFys7O1vz58zVixAjt3LlTHTt2rLf/0qVLNX36dC1atEiDBw/Wl19+qQkTJshms2nevHmSpM2bN8vlcnk+s337dv30pz/Vtdde63WsSZMm6eGHH/Z8HxcX56OrDB8s3wMAwHphO1NKOjZbimbnAADgZObNm6dJkyZp4sSJ6tWrlxYsWKC4uDgtWrSowf0//PBDDRkyRDfeeKM6d+6sSy65RGPGjPGaXdWhQwelpaV5Xq+99pq6du2qn/zkJ17HiouL89ovISHBp9caDsxG55nJBHwAAFiFUEr0lQIAACdWU1OjLVu2aPjw4Z5tdrtdw4cP14YNGxr8zODBg7VlyxZPCPXNN9/o9ddf18iRIxs9x1//+lfdcsststlsXu8tWbJEKSkp6t27t2bMmKHKyspGa3U6nSorK/N6wZthGJ6bkvSUAgDAOmG7fE+S0pkpBQAAmuDAgQNyuVxKTU312p6amqovvviiwc/ceOONOnDggIYOHSrDMFRXV6c777xT999/f4P7v/LKKyopKdGECRPqHef0009Xenq6PvvsM913333auXOnVqxY0eBxcnNz9dBDDzX/IsNIaVWtyp11kugpBQCAlcI6lDJ7CJg9BQAAAFrL+vXr9eijj+q5555Tdna2vv76a91zzz2aO3euZs2aVW//hQsX6rLLLlN6errX9ttvv93zdZ8+fdSpUyddfPHF2rVrl7p27VrvODNmzFBOTo7n+7KyMmVlZbXilQU/c+leStsoxUQ6LK4GAIDwFd6hFDOlAABAE6SkpMjhcGjfvn1e2/ft26e0tLQGPzNr1izdfPPNuu222yQdCZQqKip0++2364EHHpDdfqyLwu7du/X22283OvvpeNnZ2ZKkr7/+usFQKjo6WtHR0U2+tnCU52lyTj8pAACsFNY9pczp2oRSAADgRKKiotS/f3+tW7fOs83tdmvdunUaNGhQg5+prKz0Cp4kyeE4MivHMAyv7YsXL1bHjh11+eWXn7SWbdu2SZI6derUnEvAccyxXyb9pAAAsFRYz5Qye0rtP+xUda2L6dsAAKBROTk5Gj9+vAYMGKCBAwdq/vz5qqio0MSJEyVJ48aNU0ZGhnJzcyVJo0aN0rx583TOOed4lu/NmjVLo0aN8oRT0pFwa/HixRo/frwiIryHZrt27dLSpUs1cuRItW/fXp999pmmTZumCy64QGeffbb/Lj7E5B060ig+g35SAABYKqxDqeS4SMVGOlRV61JhabW6pLSxuiQAABCgrr/+eu3fv1+zZ89WUVGR+vXrpzVr1nian+/Zs8drZtTMmTNls9k0c+ZM5efnq0OHDho1apQeeeQRr+O+/fbb2rNnj2655ZZ654yKitLbb7/tCcCysrI0evRozZw507cXG+LMfqI0OQcAwFo244fzx32srKxMiYmJKi0tVUJCgj9P3aDh897V18XlWnJbtoacmWJ1OQAAoJUF2tjD38L9+hty+e//o/8WlGnh+AG6uGfqyT8AAACapanjj7DuKSUd1+ycJ/ABAACEhTzPTCkanQMAYKWwD6XMvlJ5NDsHAAAIeYera1VaVSuJnlIAAFgt7EMpzxP4mCkFAAAQ8swn7yXFRaptdFi3VwUAwHJhH0qZy/cKmCkFAAAQ8swbkeYYEAAAWCfsQylz+V4+oRQAAEDIy+PJewAABIywD6XMXgKFpVVyu/36IEIAAAD4mXkjMiOJJucAAFgt7EOp1PhoOew21boM7S93Wl0OAAAAfCjvUKUkmpwDABAIwj6UinDYlZYQI+nYdG4AAACEpnyW7wEAEDDCPpSSjjW6pK8UAABAaDu2fI9QCgAAqxFK6dj07XxmSgEAAISsqhqXDpTXSJKykukpBQCA1QildOxOWQEzpQAAAEKWOUuqbXSEEmIjLK4GAAAQSklKZ/keAABAyDObnGcmx8pms1lcDQAAIJQSy/cAAADCAf2kAAAILIRSYvkeAABAOMjjyXsAAAQUQikdC6UOO+tUWlVrcTUAAADwBXNWfAahFAAAAYFQSlJslEPt2kRJYgkfAABAqDJ7SmUk8eQ9AAACAaHUURk0OwcAAAhp5jiP5XsAAAQGQqmj6CsFAAAQupx1LhUfdkpi+R4AAIGCUOoozxP4CKUAAABCTmFJtQxDiom0q/3Rtg0AAMBahFJHpZvL9+gpBQAAEHLMG48ZSbGy2WwWVwMAACRCKQ9z+V4eM6UAAABCjtnkPDOZJucAAAQKQqmjzIaX9JQCAAAIPeZsePpJAQAQOAiljjKX7+0/7FR1rcviagAAANCa8g7x5D0AAAINodRRyXGRio10SJIKS6strgYAAACtKe+4nlIAACAwEEodZbPZPNO5WcIHAAAQWvKZKQUAQMAhlDpOBk/gAwAACDl1LreKyo7MhKfROQAAgYNQ6jjpPIEPAAAg5BSVVcvlNhTlsKtD22irywEAAEcRSh3HnM7NTCkAAIDQYTY5T0+Kkd1us7gaAABgIpQ6jrl8j55SAAAAocO84ZhBPykAAAIKodRxzOV7+YRSAAAAIcOcKZWZRD8pAAACCaHUccy7Z4WlVXK7DYurAQAAQGvIL6mUxEwpAAACDaHUcVLjo+Ww21TrMrS/3Gl1OQAAAGgFnplShFIAAAQUQqnjRDjsSkuIkXRs8AIAAIDgZrZmMPuHAgCAwEAo9QMZ9JUCAAAIGW634XmIDcv3AAAILIRSP2AOVvKZKQUAABD0ig87Vesy5LDbPDPiAQBAYCCU+gFzplQBM6UAAACCntnkPC0hRhEOhr4AAAQSfjP/QDrL9wAAAEIGTc4BAAhczQ6l8vPzddNNN6l9+/aKjY1Vnz599PHHH/uiNkuwfA8AACB0mKEU/aQAAAg8Ec3Z+dChQxoyZIguvPBCvfHGG+rQoYO++uorJScn+6o+vzu+0blhGLLZbBZXBAAAgJY6NlMqzuJKAADADzUrlHr88ceVlZWlxYsXe7Z16dKl1YuykhlKlTvrVFZdp8TYSIsrAgAAQEuZLRkyk5gpBQBAoGnW8r1Vq1ZpwIABuvbaa9WxY0edc845euGFF074GafTqbKyMq9XIIuNcqhdmyhJLOEDAAAIdnmHjjQ6p6cUAACBp1mh1DfffKPnn39e3bp105tvvqm77rpLv/jFL/TSSy81+pnc3FwlJiZ6XllZWadctK9l0OwcAAAg6BmG4XmiMj2lAAAIPM0Kpdxut84991w9+uijOuecc3T77bdr0qRJWrBgQaOfmTFjhkpLSz2vvXv3nnLRvmaGUgWEUgAAAEHrYEWNqmvdstmkTomEUgAABJpmhVKdOnVSr169vLb17NlTe/bsafQz0dHRSkhI8HoFOs8T+AilAAAAgpbZ5Dw1PkZREc1+6DQAAPCxZv12HjJkiHbu3Om17csvv9Tpp5/eqkVZLd1cvkdPKQAAgKBljuVYugcAQGBqVig1bdo0bdy4UY8++qi+/vprLV26VH/84x81efJkX9VnCXP5Xh4zpQAAAIIWTc4BAAhszQqlzjvvPK1cuVJ/+9vf1Lt3b82dO1fz58/X2LFjfVWfJcyBCz2lAAAAgpfZisG84QgAAAJLRHM/8LOf/Uw/+9nPfFFLwDCX7+0/7FR1rUsxkQ6LKwIAAEBzmT2lMpPjLK4EAAA0hI6PDUiOi1Ts0SCqsLTa4moAAADQEvSUAgAgsBFKNcBms3kGLyzhAwAApmeffVadO3dWTEyMsrOztWnTphPuP3/+fHXv3l2xsbHKysrStGnTVF197IbXgw8+KJvN5vXq0aOH1zGqq6s1efJktW/fXm3bttXo0aO1b98+n1xfKDEMw9NTiuV7AAAEJkKpRmTwBD4AAHCc5cuXKycnR3PmzNHWrVvVt29fjRgxQsXFxQ3uv3TpUk2fPl1z5szRjh07tHDhQi1fvlz333+/135nnXWWCgsLPa/333/f6/1p06bpX//6l15++WW9++67Kigo0NVXX+2z6wwVpVW1qqhxSaLROQAAgarZPaXCRTpP4AMAAMeZN2+eJk2apIkTJ0qSFixYoNWrV2vRokWaPn16vf0//PBDDRkyRDfeeKMkqXPnzhozZow++ugjr/0iIiKUlpbW4DlLS0u1cOFCLV26VBdddJEkafHixerZs6c2btyoH//4x615iSHF7CeV0jaK/qAAAAQoZko1wryjxkwpAABQU1OjLVu2aPjw4Z5tdrtdw4cP14YNGxr8zODBg7VlyxbPEr9vvvlGr7/+ukaOHOm131dffaX09HSdccYZGjt2rPbs2eN5b8uWLaqtrfU6b48ePXTaaac1el4ckefpJ0WTcwAAAhUzpRphLt+jpxQAADhw4IBcLpdSU1O9tqempuqLL75o8DM33nijDhw4oKFDh8owDNXV1enOO+/0Wr6XnZ2tF198Ud27d1dhYaEeeughnX/++dq+fbvi4+NVVFSkqKgoJSUl1TtvUVFRg+d1Op1yOp2e78vKylp41cEt/+gYLpN+UgAABCxmSjXCXL6XTygFAABaYP369Xr00Uf13HPPaevWrVqxYoVWr16tuXPneva57LLLdO211+rss8/WiBEj9Prrr6ukpER///vfW3ze3NxcJSYmel5ZWVmtcTlBx2xyTj8pAAACF6FUI8yn7xWWVsntNiyuBgAAWCklJUUOh6PeU+/27dvXaD+oWbNm6eabb9Ztt92mPn366KqrrtKjjz6q3Nxcud3uBj+TlJSkH/3oR/r6668lSWlpaaqpqVFJSUmTzztjxgyVlpZ6Xnv37m3m1YaGfM/yPUIpAAACFaFUI1Ljo+Ww21TrMlR82HnyDwAAgJAVFRWl/v37a926dZ5tbrdb69at06BBgxr8TGVlpex276GWw3Gk4bZhNHzDq7y8XLt27VKnTp0kSf3791dkZKTXeXfu3Kk9e/Y0et7o6GglJCR4vcKR2VOKmVIAAAQueko1IsJhV1pCjPJLqpRfUqW0xBirSwIAABbKycnR+PHjNWDAAA0cOFDz589XRUWF52l848aNU0ZGhnJzcyVJo0aN0rx583TOOecoOztbX3/9tWbNmqVRo0Z5wql7771Xo0aN0umnn66CggLNmTNHDodDY8aMkSQlJibq1ltvVU5Ojtq1a6eEhATdfffdGjRoEE/eOwmzBUNGEo3OAQAIVIRSJ5CRFOsJpfqfnmx1OQAAwELXX3+99u/fr9mzZ6uoqEj9+vXTmjVrPM3P9+zZ4zUzaubMmbLZbJo5c6by8/PVoUMHjRo1So888ohnn7y8PI0ZM0YHDx5Uhw4dNHToUG3cuFEdOnTw7PPb3/5Wdrtdo0ePltPp1IgRI/Tcc8/578KD0OHqWpVW1Upi+R4AAIHMZjQ2f9xHysrKlJiYqNLS0oCfTj5t+Tat/CRf913aQ3cN62p1OQAAoAWCaezhC+F4/V8UlenS+f9RUlykts2+xOpyAAAIO00df9BT6gQyjj6Br4An8AEAAAQNT5PzJGZJAQAQyAilTsCc7p1PKAUAABA0aHIOAEBwIJQ6gfSjd9fMu20AAAAIfDQ5BwAgOBBKnYA55Tu/pKrRRzcDAAAgsOQdqpTETCkAAAIdodQJmKFUubNOZdV1FlcDAACApvD0lCKUAgAgoBFKnUBslEPt2kRJYgkfAABAsKCnFAAAwYFQ6iSOX8IHAACAwFZV49LBihpJUiY9pQAACGiEUidhhlIFhFIAAAABz7yR2DY6QgmxERZXAwAAToRQ6iTMXgTMlAIAAAh8xzc5t9lsFlcDAABOhFDqJNLN5Xv0lAIAAAh45o1Ec7Y7AAAIXIRSJ2EOaPKYKQUAABDwaHIOAEDwIJQ6CXNAQ08pAACAwGfObs8glAIAIOARSp2EuXxv/2GnqmtdFlcDAACAEznWU4on7wEAEOgIpU4iOS5SsZEOSVJhabXF1QAAAOBE6CkFAEDwIJQ6CZvNduwJfDQ7BwAACFjOOpf2lTkl0VMKAIBgQCjVBOadNvpKAQAABK7CkiOz2mMi7WrXJsriagAAwMkQSjVBOk/gAwAACHjHL92z2WwWVwMAAE6GUKoJMlm+BwAAEPBocg4AQHAhlGoClu8BAAAEPvMGYgb9pAAACAqEUk1gLt/LJ5QCAAAIWHlHQymanAMAEBwIpZrAvNtWWFolt9uwuBoAAAA0JO+4nlIAACDwEUo1QWp8tBx2m2pdhooPO60uBwAAAA3I98yUoqcUAADBgFCqCSIcdqUlxEhiCR8AAEAgqnO5VVRWLYnlewAABAtCqSbKoK8UAABAwCosrZbLbSjKYVeHttFWlwMAAJqAUKqJzL5S5rRwAAAABA7zxmF6UozsdpvF1QAAgKYglGoic6ZUATOlAAAAAo554zCDpXsAAAQNQqkm8syUIpQCAAAIOHlmk/MkmpwDABAsCKWaKD2J5XsAAACBKr+kUhIzpQAACCaEUk10fKNzwzAsrgYAAADH88yUIpQCACBoEEo1kRlKlTvrVFZdZ3E1AAAAOJ7ZYsEcswEAgMBHKNVEsVEOtWsTJYklfAAAAIHE7TY8D6PJbEdPKQAAggWhVDMcv4QPAAAAgaH4sFO1LkMOu02p8dFWlwMAAJqIUKoZPKHUoUqLKwEAAIAp7+jYrFNijCIcDG8BAAgW/NZuBvNpLgWl1RZXAgAAABP9pAAACE6EUs2Q7pkpxfI9AACAQGE+eS+DJ+8BABBUCKWawbz7lkdPKQAAgIBhhlKZyTQ5BwAgmBBKNUOmuXyPUAoAACBgmMv3Mlm+BwBAUCGUagZz+d7+w05V17osrgYAAADSsUbnmSzfAwAgqBBKNUNyXKRiIx2SpEKanQMAAFjOMAxPv096SgEAEFwIpZrBZrN5Bjs0OwcAALDegfIaOevcstmkTomEUgAABBNCqWYym53TVwoAAMB6Zj+p1PgYRUUwtAUAIJjwm7uZ0nkCHwAAQMDI9zx5j1lSAAAEG0KpZspk+R4AAEDAMJuc008KAIDgQyjVTCzfAwAACBzm8j1zjAYAAIIHoVQzeRqdE0oBAABYLs+zfC/O4koAAEBzEUo1k9lTqrC0Sm63YXE1AAAA4c1sqcDyPQAAgg+hVDOlxkfLYbep1mWo+LDT6nIAAADClmEYnp5SNDoHACD4EEo1U4TDrrSEGEks4QMAALBSaVWtKmpckugpBQBAMCKUagFz0EMoBQAAYB2zn1RK22jFRDosrgYAADQXoVQLeJqdHyKUAgAAsEoe/aQAAAhqhFItcGymVKXFlQAAAH969tln1blzZ8XExCg7O1ubNm064f7z589X9+7dFRsbq6ysLE2bNk3V1dWe93Nzc3XeeecpPj5eHTt21JVXXqmdO3d6HWPYsGGy2WxerzvvvNMn1xdszFnr9JMCACA4EUq1gHk3rqCk+iR7AgCAULF8+XLl5ORozpw52rp1q/r27asRI0aouLi4wf2XLl2q6dOna86cOdqxY4cWLlyo5cuX6/777/fs8+6772ry5MnauHGj1q5dq9raWl1yySWqqKjwOtakSZNUWFjoef3mN7/x6bUGC0+Tc/pJAQAQlCKsLiAYpSexfA8AgHAzb948TZo0SRMnTpQkLViwQKtXr9aiRYs0ffr0evt/+OGHGjJkiG688UZJUufOnTVmzBh99NFHnn3WrFnj9ZkXX3xRHTt21JYtW3TBBRd4tsfFxSktLc0XlxXU8lm+BwBAUGOmVAsc3+jcMAyLqwEAAL5WU1OjLVu2aPjw4Z5tdrtdw4cP14YNGxr8zODBg7VlyxbPEr9vvvlGr7/+ukaOHNnoeUpLSyVJ7dq189q+ZMkSpaSkqHfv3poxY4YqKxtvIeB0OlVWVub1ClVmTymW7wEAEJyYKdUCZihV7qxTWXWdEmMjLa4IAAD40oEDB+RyuZSamuq1PTU1VV988UWDn7nxxht14MABDR06VIZhqK6uTnfeeafX8r3jud1uTZ06VUOGDFHv3r29jnP66acrPT1dn332me677z7t3LlTK1asaPA4ubm5euihh1p4pcHF7CmVkRRncSUAAKAlCKVaIDbKoXZtovR9RY3yD1URSgEAgHrWr1+vRx99VM8995yys7P19ddf65577tHcuXM1a9asevtPnjxZ27dv1/vvv++1/fbbb/d83adPH3Xq1EkXX3yxdu3apa5du9Y7zowZM5STk+P5vqysTFlZWa14ZYHhcHWtSqtqJbF8DwCAYEUo1UIZSbFHQqmSKvVKT7C6HAAA4EMpKSlyOBzat2+f1/Z9+/Y12utp1qxZuvnmm3XbbbdJOhIoVVRU6Pbbb9cDDzwgu/1YF4UpU6botdde03vvvafMzMwT1pKdnS1J+vrrrxsMpaKjoxUdHd2s6wtG5iyppLhItY1mSAsAQDCip1QLefpKHWq8pwMAAAgNUVFR6t+/v9atW+fZ5na7tW7dOg0aNKjBz1RWVnoFT5LkcDgkydOT0jAMTZkyRStXrtS///1vdenS5aS1bNu2TZLUqVOnllxKyMj7nn5SAAAEO24rtZA5TbygtNriSgAAgD/k5ORo/PjxGjBggAYOHKj58+eroqLC8zS+cePGKSMjQ7m5uZKkUaNGad68eTrnnHM8y/dmzZqlUaNGecKpyZMna+nSpXr11VcVHx+voqIiSVJiYqJiY2O1a9cuLV26VCNHjlT79u312Wefadq0abrgggt09tlnW/MHESCO9ZMilAIAIFgRSrVQumemVJXFlQAAAH+4/vrrtX//fs2ePVtFRUXq16+f1qxZ42l+vmfPHq+ZUTNnzpTNZtPMmTOVn5+vDh06aNSoUXrkkUc8+zz//POSpGHDhnmda/HixZowYYKioqL09ttvewKwrKwsjR49WjNnzvT9BQc4M5TKTKbJOQAAwYpQqoXMu3J5JYRSAACEiylTpmjKlCkNvrd+/Xqv7yMiIjRnzhzNmTOn0eOZy/gak5WVpXfffbfZdYaDvKMtFJgpBQBA8KKnVAuZ/QsKCKUAAAD8zpytzpP3AAAIXoRSLWQu39t/2KnqWpfF1QAAAISXvEM0OgcAINgRSrVQclykYiOPNCktpNk5AACA31TVuHSwokaSlJlETykAAIIVoVQL2Ww2z3Rxmp0DAAD4T37JkX5S8dERSoilRSoAAMGKUOoUmI016SsFAADgP3nH9ZOy2WwWVwMAAFqKUOoUpPMEPgAAAL+jnxQAAKGBUOoUZLJ8DwAAwO/yj94QNGetAwCA4EQodQrMgZDZ1wAAAAC+l3/c8j0AABC8CKVOgTkQKijh6XsAAAD+knfoyA3BzGSevAcAQDAjlDoFZk+pwtIqud2GxdUAAACEB5bvAQAQGgilTkFqfLQcdptqXYaKDzutLgcAACDkOetc2ld2ZNxFo3MAAIIbodQpiHDYlZYQI+nYHTsAAAD4TuHRtgkxkXa1axNlcTUAAOBUEEqdomPNzgmlAAAAfC3vaJPzzOQ42Ww2i6sBAACnglDqFJnNzs2nwAAAAMB3zKce008KAIDgRyh1io7NlKq0uBIAAIDQl++ZKUUoBQBAsCOUOkXmTKmCo/0NAAAA4Dvm8r0MQikAAIIeodQpSk9i+R4AAIC/5B3t48nyPQAAgh+h1Ck6vtG5YRgWVwMAABDa8o9rdA4AAIIbodQpMkOpcmedyqrrLK4GAAAgdNW53CoqO9IygZ5SAAAEP0KpUxQb5VC7NlGSWMIHAADgS4Wl1XK5DUU57OrQNtrqcgAAwCkilGoFxy/hAwAAgG+YY630pBjZ7TaLqwEAAKeKUKoVeEKpQ5UWVwIAABC68ugnBQBASCGUagXmI4kLSqstrgQAACB0ma0SePIeAAChgVCqFaR7ZkqxfA8AAMBX8kuOzEqnyTkAAKHhlEKpxx57TDabTVOnTm2lcoKTebcuj55SAAAAPmMu38sglAIAICS0OJTavHmz/vCHP+jss89uzXqCknm3jplSAAAAvmM2Omf5HgAAoaFFoVR5ebnGjh2rF154QcnJya1dU9AxB0YHyp2qrnVZXA0AAEDocbsNFRwNpTLb0egcAIBQ0KJQavLkybr88ss1fPjwk+7rdDpVVlbm9Qo1SXGRio10SJIKaXYOAADQ6ooPO1XrMuSw25QaH211OQAAoBU0O5RatmyZtm7dqtzc3Cbtn5ubq8TERM8rKyur2UUGOpvN5ultwBI+AACA1pd36EiT806JMYpw8KweAABCQbN+o+/du1f33HOPlixZopiYmCZ9ZsaMGSotLfW89u7d26JCA525hK+AZucAAACtjn5SAACEnojm7LxlyxYVFxfr3HPP9WxzuVx677339Mwzz8jpdMrhcHh9Jjo6WtHRoT/FOp0n8AEAAPiM+eS9zGT6SQEAECqaFUpdfPHF+vzzz722TZw4UT169NB9991XL5AKJzyBDwAAwHfMUMpsmQAAAIJfs0Kp+Ph49e7d22tbmzZt1L59+3rbw405lTy/pNLiSgAAAEKPuXwvk1AKAICQQZfIVmLetSso4el7AAAArc1sdJ5JTykAAEJGs2ZKNWT9+vWtUEbwM3tKFZZWye02ZLfbLK4IAAAgNBiG4WmRwPI9AABCBzOlWklqfLQcdptqXYaKDzutLgcAACBkHCivkbPOLZtN6pRIKAUAQKgglGolEQ670hJiJB3reQAAAIBTZ46tUuNjFBXB8BUAgFDBb/VWdKzZOaEUAABAa/H0k2LpHgAAIYVQqhWZPQ7MngcAAAA4dfSTAgAgNBFKtaJjM6UqLa4EAAAgdOQdDaWYKQUAQGghlGpF5t27gpJqiysBAAAIHWZrhIykOIsrAQAArYlQqhWlJ7F8DwAAoLXlM1MKAICQRCjVio5vdG4YhsXVAAAABD/DMDyNzukpBQBAaCGUakVmKFXurFNZVZ3F1QAAAAS/0qpaVdS4JB0bawEAgNBAKNWKYqMcatcmStKx3gcAAABoObPJeUrbaMVEOiyuBgAAtCZCqVZ2/BI+AAAAnBozlGLpHgAAoYdQqpV5QqmjvQ8AAADQcmY/KZqcAwAQegilWpl5F6+gtNriSgAAAIKfOfs8k35SAACEHEKpVpbumSnF8j0AAIBTZS7fY6YUAAChh1CqlZnL9/LoKQUAQMh59tln1blzZ8XExCg7O1ubNm064f7z589X9+7dFRsbq6ysLE2bNk3V1d6zqU92zOrqak2ePFnt27dX27ZtNXr0aO3bt6/Vry1Q5dNTCgCAkEUo1crMu3jMlAIAILQsX75cOTk5mjNnjrZu3aq+fftqxIgRKi4ubnD/pUuXavr06ZozZ4527NihhQsXavny5br//vubdcxp06bpX//6l15++WW9++67Kigo0NVXX+3z6w0UnuV7yXEWVwIAAFoboVQrM2dKHSh3qrrWZXE1AACgtcybN0+TJk3SxIkT1atXLy1YsEBxcXFatGhRg/t/+OGHGjJkiG688UZ17txZl1xyicaMGeM1E+pkxywtLdXChQs1b948XXTRRerfv78WL16sDz/8UBs3bvTLdVvpcHWtSqtqJR0bYwEAgNBBKNXKkuIiFRvpkCQV0uwcAICQUFNToy1btmj48OGebXa7XcOHD9eGDRsa/MzgwYO1ZcsWTwj1zTff6PXXX9fIkSObfMwtW7aotrbWa58ePXrotNNOa/S8TqdTZWVlXq9gZc6SSoqLVJvoCIurAQAArY1QqpXZbDZPzwOW8AEAEBoOHDggl8ul1NRUr+2pqakqKipq8DM33nijHn74YQ0dOlSRkZHq2rWrhg0b5lm+15RjFhUVKSoqSklJSU0+b25urhITEz2vrKysllxyQMj7nibnAACEMkIpHzCnlxfQ7BwAgLC1fv16Pfroo3ruuee0detWrVixQqtXr9bcuXN9et4ZM2aotLTU89q7d69Pz+dL5kwplu4BABCamAftA+k8gQ8AgJCSkpIih8NR76l3+/btU1paWoOfmTVrlm6++WbddtttkqQ+ffqooqJCt99+ux544IEmHTMtLU01NTUqKSnxmi11ovNGR0crOjq6pZcaUPIOVUqiyTkAAKGKmVI+wBP4AAAILVFRUerfv7/WrVvn2eZ2u7Vu3ToNGjSowc9UVlbKbvceajkcR/pOGobRpGP2799fkZGRXvvs3LlTe/bsafS8oYSZUgAAhDZmSvmAOXDKL6m0uBIAANBacnJyNH78eA0YMEADBw7U/PnzVVFRoYkTJ0qSxo0bp4yMDOXm5kqSRo0apXnz5umcc85Rdna2vv76a82aNUujRo3yhFMnO2ZiYqJuvfVW5eTkqF27dkpISNDdd9+tQYMG6cc//rE1fxB+ZN7go6cUAAChiVDKB8xG5wUlPH0PAIBQcf3112v//v2aPXu2ioqK1K9fP61Zs8bTqHzPnj1eM6Nmzpwpm82mmTNnKj8/Xx06dNCoUaP0yCOPNPmYkvTb3/5Wdrtdo0ePltPp1IgRI/Tcc8/578ItlHc0lMoglAIAICTZDMMw/HnCsrIyJSYmqrS0VAkJCf48td/kl1RpyGP/VqTDpp1zL5PdbrO6JAAAwlY4jD1OJFivv6rGpZ6z10iSPp1ziRJjIy2uCAAANFVTxx/0lPKB1PhoOew21boMFR92Wl0OAABA0DHbIMRHRxBIAQAQogilfCDCYVdaQowk+koBAAC0BEv3AAAIfYRSPnKs2Tl9pQAAAJorjybnAACEPEIpHzHv6plPjQEAAEDT5ZccnSmVRCgFAECoIpTykWMzpVi+BwAA0FzHZkrFWVwJAADwFUIpHzFnShWwfA8AAKDZ8g8dubFHTykAAEIXoZSPpCexfA8AAKClzOV79JQCACB0EUr5yLHle1UyDMPiagAAAIKHs86lfWVOSfSUAgAglBFK+Yg5gCp31qmsqs7iagAAAIJH4dH2B7GRDrVrE2VxNQAAwFcIpXwkNsqh9kcHUeb0cwAAAJyc2eQ8IzlWNpvN4moAAICvEEr5UPpxS/gAAADQNObTi1m6BwBAaCOU8iFPX6mjT48BAADAyZkzpWhyDgBAaCOU8iHzEcYFpdUWVwIAABA88o9bvgcAAEIXoZQPeZbvHWL5HgAAQFMdmykVZ3ElAADAlwilfMhcvpdHTykAAIAmM/tx0lMKAIDQRijlQ2YfBGZKAQAANE2dy62isiOtD7JYvgcAQEgjlPIh8+7egXKnqmtdFlcDAAAQ+ApLq+VyG4py2JXSNtrqcgAAgA8RSvlQUlykYiMdko4MsAAAAHBinqV7ybGy220WVwMAAHyJUMqHbDab56kxLOEDAAA4ObPJOf2kAAAIfYRSPmYOqPJLKi2uBAAAIPDlE0oBABA2CKV8LN0TSrF8DwAA4GTyDh25kZdJk3MAAEIeoZSP8QQ+AACApju+pxQAAAhthFI+xvI9AACApjN7SmUmx1lcCQAA8DVCKR8z7/IVsHwPAADghNxuQ4WlzJQCACBcEEr5mNlTqrC0Sm63YXE1AAAAgav4sFO1LkMRdptS46OtLgcAAPgYoZSPpcZHy2G3qdZlqPiw0+pyAAAAApbZ5DwtMUYRDoapAACEOn7b+1iEw660hBhJ9JUCAAA4EU+T8ySW7gEAEA4IpfzA7ImQT18pAACARtHkHACA8EIo5QeeJ/AdHWgBAACgPjOUosk5AADhgVDKDzyhFMv3AAAAGmX2lMoklAIAICwQSvmBebevgOV7AAAAjTJ7SmXSUwoAgLBAKOUH6SzfAwAAOCHDMDxjJXpKAQAQHgil/ODY8r0qGYZhcTUAAACB50B5jZx1btlsUlpijNXlAAAAPyCU8gMzlCp31qmsqs7iagAAAAKPuXQvLSFGUREMUQEACAf8xveD2CiH2reJknRswAUAAIBjzCbnGfSTAgAgbBBK+Un6cUv4AAAA4M3sJ5XBk/cAAAgbhFJ+4ukrdfQuIAAAAI7J8zQ5J5QCACBcEEr5iXnXj5lSAAAA9ZljpIwknrwHAEC4IJTyE3P5XkFJtcWVAAAABB6zpxQzpQAACB+EUn5iLt/LY6YUAACAF8Mw6CkFAEAYIpTyE/OunzngAgAAwBGlVbWqqHFJ4ul7AACEE0IpPzEHWAfKnaqudVlcDQAAQOAwm5yntI1WTKTD4moAAIC/EEr5SVJcpGKPDrIKS+krBQAAYOLJewAAhCdCKT+x2WzHnsDHEj4AAAAPs8k5/aQAAAgvhFJ+ZC7hyy+ptLgSAACAwJF/9EEwmfSTAgAgrBBK+VG6J5Ri+R4AAICJ5XsAAIQnQik/4gl8AAAA9ZljI5bvAQAQXgil/IjlewAAAPWZPaUyk+MsrgQAAPgToZQfmXf/Cli+BwAAIEk6XF2rsuo6Scdu4AEAgPBAKOVHZk+pwtIqud2GxdUAAIDmevbZZ9W5c2fFxMQoOztbmzZtanTfYcOGyWaz1Xtdfvnlnn0aet9ms+mJJ57w7NO5c+d67z/22GM+vU5/MpucJ8dFqk10hMXVAAAAf+I3vx+lxkfLYbep1mWo+LBTaYkxVpcEAACaaPny5crJydGCBQuUnZ2t+fPna8SIEdq5c6c6duxYb/8VK1aopqbG8/3BgwfVt29fXXvttZ5thYWFXp954403dOutt2r06NFe2x9++GFNmjTJ8318fHxrXZbl8r6nnxQAAOGKUMqPIhx2pSXEKL+kSvkllYRSAAAEkXnz5mnSpEmaOHGiJGnBggVavXq1Fi1apOnTp9fbv127dl7fL1u2THFxcV6hVFpamtc+r776qi688EKdccYZXtvj4+Pr7RsqzJlSmUn0kwIAINywfM/PzLuA+fSVAgAgaNTU1GjLli0aPny4Z5vdbtfw4cO1YcOGJh1j4cKFuuGGG9SmTZsG39+3b59Wr16tW2+9td57jz32mNq3b69zzjlHTzzxhOrq6lp2IQHIbHLOTCkAAMIPM6X8zPMEvqOPPgYAAIHvwIEDcrlcSk1N9dqempqqL7744qSf37Rpk7Zv366FCxc2us9LL72k+Ph4XX311V7bf/GLX+jcc89Vu3bt9OGHH2rGjBkqLCzUvHnzGjyO0+mU0+n0fF9WVnbS+qxkzpSiyTkAAOGHUMrPPKFUSaXFlQAAAH9ZuHCh+vTpo4EDBza6z6JFizR27FjFxHgv78/JyfF8ffbZZysqKkp33HGHcnNzFR0dXe84ubm5euihh1qveB/LO3qjLpOZUgAAhB2W7/mZZ/keM6UAAAgaKSkpcjgc2rdvn9f2ffv2nbTXU0VFhZYtW9bgsjzTf/7zH+3cuVO33XbbSWvJzs5WXV2dvvvuuwbfnzFjhkpLSz2vvXv3nvSYVjLHRCzfAwAg/BBK+Vn60ZlSBfSUAgAgaERFRal///5at26dZ5vb7da6des0aNCgE3725ZdfltPp1E033dToPgsXLlT//v3Vt2/fk9aybds22e32Bp/4J0nR0dFKSEjwegWqypo6Haw48oTCzGQanQMAEG5Yvudnx5bvVckwDNlsNosrAgAATZGTk6Px48drwIABGjhwoObPn6+KigrP0/jGjRunjIwM5ebmen1u4cKFuvLKK9W+ffsGj1tWVqaXX35ZTz31VL33NmzYoI8++kgXXnih4uPjtWHDBk2bNk033XSTkpOTW/8i/azgaD+p+OgIJcZGWlwNAADwN0IpPzNDqXJnncqq6pQYxwAMAIBgcP3112v//v2aPXu2ioqK1K9fP61Zs8bT/HzPnj2y270noe/cuVPvv/++3nrrrUaPu2zZMhmGoTFjxtR7Lzo6WsuWLdODDz4op9OpLl26aNq0aV59poJZHkv3AAAIazbDMAx/nrCsrEyJiYkqLS0N6OnkvtR/7lodrKjR6784X73Sw/PPAAAAfwn3sUcgX/9fN+7WzFe2a3jPjvrT+POsLgcAALSSpo4/6CllgfTjlvABAACEK3MsRD8pAADCE6GUBTx9pQ5VWlwJAACAdTzL95JYvgcAQDgilLKA2TeBmVIAACCcmTfo6CkFAEB4IpSygLl8r6Ck2uJKAAAArGPOlMoklAIAICwRSlnAnKKex0wpAAAQppx1LhUfdkpi+R4AAOGKUMoC5t3A/EOEUgAAIDwVHp0xHhvpULs2URZXAwAArEAoZQHzbuCBcqeqa10WVwMAAOB/nibnybGy2WwWVwMAAKxAKGWBpLhIxUY6JEmFpfSVAgAA4Se/5EiTc/pJAQAQvgilLGCz2Y49gY8lfAAAIAx5ZkrRTwoAgLBFKGURcwBm3iUEAAAIJ/meJ+/FWVwJAACwCqGURTwzpUpYvgcAAMLP8T2lAABAeCKUsohnphTL9wAAQBjKL2H5HgAA4a5ZoVRubq7OO+88xcfHq2PHjrryyiu1c+dOX9UW0li+BwAAwlWty63C0iOhVBYzpQAACFvNCqXeffddTZ48WRs3btTatWtVW1urSy65RBUVFb6qL2QdW77HTCkAABBeikqr5TakKIddKW2jrS4HAABYJKI5O69Zs8br+xdffFEdO3bUli1bdMEFF7RqYaEu/ehMqaLSarnchhx2m8UVAQAA+Idn6V5yrOyMgQAACFun1FOqtLRUktSuXbtWKSacpMZHy2G3qdZlaP9hp9XlAAAA+I2nyTn9pAAACGvNmil1PLfbralTp2rIkCHq3bt3o/s5nU45ncdCl7KyspaeMqREOOxKS4hRfkmV8ksqlZYYY3VJAAAAfmE+6CWTflIAAIS1Fs+Umjx5srZv365ly5adcL/c3FwlJiZ6XllZWS09Zcg51leq2uJKAAAA/Cfv0JEHvTBTCgCA8NaiUGrKlCl67bXX9M477ygzM/OE+86YMUOlpaWe1969e1tUaCjyPIHvEM3OAQBA+DB7SmW2I5QCACCcNWv5nmEYuvvuu7Vy5UqtX79eXbp0OelnoqOjFR3NU1Ua4gmlSiotrgQAAMB/jvWUirO4EgAAYKVmhVKTJ0/W0qVL9eqrryo+Pl5FRUWSpMTERMXGcqeruTzL95gpBQAAwoTLbaiw9NjT9wAAQPhq1vK9559/XqWlpRo2bJg6derkeS1fvtxX9YW09KMzpQroKQUAAMJE8eFq1boMRdhtSo1nNj0AAOGs2cv30HqOLd+rkmEYstlsFlcEAADgW+YM8bTEGEU4WvzMHQAAEAIYCVjIDKXKnXUqq6qzuBoAAADf8zQ5Z+keAABhj1DKQrFRDrVvEyXp2AANAAAglNHkHAAAmAilLJZ+3BI+AACAUGeGUsyUAgAAhFIW8/SVOlRpcSUAAAC+l3d0zMOT9wAAAKGUxcwBGTOlAABAOKCnFAAAMBFKWcxcvldQUm1xJQAAAL5lGIbn6XuZ9JQCACDsEUpZzFy+l8dMKQAAEOIOlNfIWeeWzSalJcZYXQ4AALAYoZTFzKnr5l1DAACAUGX2k0pLiFFUBMNQAADCHaMBi5kzpQ6UO1Vd67K4GgAAAN8x+0mZ4x8AABDeCKUslhQXqdhIhySpsJS+UgAAIHR5+knR5BwAAIhQynI2m+3YE/hYwgcAAEJY3tGxTgahFAAAEKFUQDCnsOeXVFpcCQAAgO+Yy/cyk3nyHgAAIJQKCJ6ZUiUs3wMAAKHLbHROTykAACARSgUEz0wplu8BAIAQZRgGPaUAAIAXQqkAwPI9AAAQ6koqa1VRc+RJw+nMlAIAACKUCgjHlu8xUwoAAIQmc5yT0jZaMUefPAwAAMIboVQAMO8WFpVWy+U2LK4GAACg9Zn9pFi6BwAATIRSASA1PloOu021LkP7DzutLgcAAKDV5R3tJ5VBKAUAAI4ilAoAEQ670hJiJNFXCgAAhCZz+R4zpQAAgIlQKkAc6ytVbXElAAAArc+cKZVJk3MAAHAUoVSA8DyB7xDNzgEAQOgxxziZyXEWVwIAAAIFoVSA8IRSLN8DAAAhyGx0Tk8pAABgIpQKEJ7le8yUAgAAIaasulZl1XWSjt2IAwAAIJQKEOlHB2gF9JQCAAAhxrzplhwXqTbRERZXAwAAAgWhVIA4tnyvSoZhWFwNAABA6zFDKZbuAQCA4xFKBQgzlCp31qmsqs7iagAAAFpPfon55D2anAMAgGMIpQJEbJRD7dtESZLyaHYOAEBAevbZZ9W5c2fFxMQoOztbmzZtanTfYcOGyWaz1Xtdfvnlnn0mTJhQ7/1LL73U6zjff/+9xo4dq4SEBCUlJenWW29VeXm5z67RF2hyDgAAGkIoFUDoKwUAQOBavny5cnJyNGfOHG3dulV9+/bViBEjVFxc3OD+K1asUGFhoee1fft2ORwOXXvttV77XXrppV77/e1vf/N6f+zYsfrvf/+rtWvX6rXXXtN7772n22+/3WfX6QuemVKEUgAA4DiEUgHE01fqEDOlAAAINPPmzdOkSZM0ceJE9erVSwsWLFBcXJwWLVrU4P7t2rVTWlqa57V27VrFxcXVC6Wio6O99ktOTva8t2PHDq1Zs0Z/+tOflJ2draFDh+rpp5/WsmXLVFBQ4NPrbU15Zk8pnrwHAACOQygVQMwp7ebdRAAAEBhqamq0ZcsWDR8+3LPNbrdr+PDh2rBhQ5OOsXDhQt1www1q06aN1/b169erY8eO6t69u+666y4dPHjQ896GDRuUlJSkAQMGeLYNHz5cdrtdH3300Slelf+Yjc4zk+kpBQAAjuGZvAEkg+V7AAAEpAMHDsjlcik1NdVre2pqqr744ouTfn7Tpk3avn27Fi5c6LX90ksv1dVXX60uXbpo165duv/++3XZZZdpw4YNcjgcKioqUseOHb0+ExERoXbt2qmoqKjBczmdTjmdTs/3ZWVlTb1Mn6isqdPBihpJ9JQCAADeCKUCiNlTKo+ZUgAAhJSFCxeqT58+GjhwoNf2G264wfN1nz59dPbZZ6tr165av369Lr744hadKzc3Vw899NAp1duaCo6Oa+KjI5QYG2lxNQAAIJCwfC+AmM0/zSnuAAAgMKSkpMjhcGjfvn1e2/ft26e0tLQTfraiokLLli3TrbfeetLznHHGGUpJSdHXX38tSUpLS6vXSL2urk7ff/99o+edMWOGSktLPa+9e/ee9Ly+tNfsJ8UsKQAA8AOEUgHEXL53oNyp6lqXxdUAAABTVFSU+vfvr3Xr1nm2ud1urVu3ToMGDTrhZ19++WU5nU7ddNNNJz1PXl6eDh48qE6dOkmSBg0apJKSEm3ZssWzz7///W+53W5lZ2c3eIzo6GglJCR4vax0rJ8UoRQAAPBGKBVAkuIiFRvpkCQVltJXCgCAQJKTk6MXXnhBL730knbs2KG77rpLFRUVmjhxoiRp3LhxmjFjRr3PLVy4UFdeeaXat2/vtb28vFy/+tWvtHHjRn333Xdat26drrjiCp155pkaMWKEJKlnz5669NJLNWnSJG3atEkffPCBpkyZohtuuEHp6em+v+hWYD7AhSbnAADgh+gpFUBsNpsykmP1dXG58g9VqUtKm5N/CAAA+MX111+v/fv3a/bs2SoqKlK/fv20Zs0aT/PzPXv2yG73vt+3c+dOvf/++3rrrbfqHc/hcOizzz7TSy+9pJKSEqWnp+uSSy7R3LlzFR0d7dlvyZIlmjJlii6++GLZ7XaNHj1av//97317sa0oz1y+l8RMKQAA4I1QKsBkJB0NpUoqrS4FAAD8wJQpUzRlypQG31u/fn29bd27d5dhGA3uHxsbqzfffPOk52zXrp2WLl3arDoDSf6hI2Malu8BAIAfYvlegDGbgOaXsHwPAAAEvzwanQMAgEYQSgUYc2o7T+ADAADBzlnnUvFhpyR6SgEAgPoIpQKMJ5Ri+R4AAAhyBUdnfsdGOpQcF2lxNQAAINAQSgWYY8v3mCkFAACCW/5xS/dsNpvF1QAAgEBDKBVg0o/OlCoqrZbL3XBjVAAAgGCQR5NzAABwAoRSASY1PloOu021LkP7j/ZgAAAACEbmzG+zPQEAAMDxCKUCTITDrrSEGEn0lQIAAMHNXL5Hk3MAANAQQqkAZPaVyuMJfAAAIIjlHddTCgAA4IcIpQKQOcXdfGINAABAMDKX79FTCgAANIRQKgCZoRTL9wAAQLCqdblVWHo0lKKnFAAAaAChVAAyp7jns3wPAAAEqaLSarkNKSrCrpS20VaXAwAAAhChVABKZ/keAAAIcp5+UkmxstttFlcDAAACEaFUADq2fK9KhmFYXA0AAEDzmf2kMli6BwAAGkEoFYDMwVu5s05lVXUWVwMAANB8eYeO9MakyTkAAGgMoVQAio1yqH2bKElSHs3OAQBAEMo/xEwpAABwYoRSAYq+UgAAIJiZy/cy2xFKAQCAhhFKBShPX6lDzJQCAADB51ij8ziLKwEAAIGKUCpAZSQfa3YOAAAQTFxuQ4WlR2dK0VMKAAA0glAqQGWwfA8AAASp4sPVqnUZirDblJoQY3U5AAAgQBFKBSizp1QeM6UAAECQMZucd0qKkcNus7gaAAAQqAilApQ51d0c1AEAAASLPJ68BwAAmoBQKkCZg7gD5U5V17osrgYAAKDpzJ6YNDkHAAAnQigVoJLiIhUb6ZAkFZbSVwoAAAQPc6YUTc4BAMCJEEoFKJvNduwJfCzhAwAAQSTvUKWkY08TBgAAaAihVAAzl/Dll1RaXAkAAEDTmcv3mCkFAABOhFAqgDFTCgAABBvDMDxjl0x6SgEAgBMglApgx2ZK0VMKAAAEhwPlNXLWuWW3SWmJMVaXAwAAAhihVABj+R4AAAg2Zj+p1IQYRUUw1AQAAI1jpBDAPMv3Sli+BwAAggP9pAAAQFMRSgWw9KMzpYpKq+VyGxZXAwAAcHJ5R/tJmTO+AQAAGkMoFcBS46PlsNtU6zK0/7DT6nIAAABOymxynsFMKQAAcBKEUgEswmFXWsKRBqH0lQIAAMHg2PI9nrwHAABOjFAqwJl3Gc2p8AAAAIHMbHTO8j0AAHAyhFIBzhzQFZRUW1wJAADAiRmG4Vm+R6NzAABwMoRSAc4MpVi+BwAAAl1JZa0qalySjj2wBQAAoDGEUgHOXL6Xz/I9AAAQ4Mx+Uh3ioxUT6bC4GgAAEOgIpQIcy/cAAECwoJ8UAABoDkKpAJfuWb5XJcMwLK4GAACgcXn0kwIAAM1AKBXgzDuN5c46lVXVWVwNAABA48xQKoNQCgAANAGhVICLjXKofZsoSVIezc4BAEAAM3tKZbJ8DwAANAGhVBBIp68UAAAIAvme5XtxFlcCAACCAaFUEDCX8OUfYqYUAAAIXJ5G5yzfAwAATUAoFQTMgZ05JR4AACDQlFXXqqz6SP9Lnr4HAACaglAqCGQkEUoBAIDAZi7dS46LVJvoCIurAQAAwYBQKgike0IpekoBAIDARD8pAADQXIRSQSDTXL53iJlSAAAgMHn6SbF0DwAANBGhVBAwB3cHyp2qrnVZXA0AAEB9ZpuBTJqcAwCAJiKUCgJJcZGKjXRIkgpLWcIHAAACT97RGd08eQ8AADQVXSiDgM1mU0ZyrL4uLlf+oSp1SWljdUkAAABezJlSLN8DgFNjGIbq6urkcrFKBoHL4XAoIiJCNpvtlI5DKBUkMpKOhlIllVaXAgAAUA+NzgHg1NXU1KiwsFCVlfy7D4EvLi5OnTp1UlRUVIuPQSgVJDJodg4AgOWeffZZPfHEEyoqKlLfvn319NNPa+DAgQ3uO2zYML377rv1to8cOVKrV69WbW2tZs6cqddff13ffPONEhMTNXz4cD322GNKT0/37N+5c2ft3r3b6xi5ubmaPn16617cKaisqdPBihpJLN8DgJZyu9369ttv5XA4lJ6erqioqFOehQL4gmEYqqmp0f79+/Xtt9+qW7dusttb1h2KUCpImFPh80voKQUAgBWWL1+unJwcLViwQNnZ2Zo/f75GjBihnTt3qmPHjvX2X7FihWpqajzfHzx4UH379tW1114rSaqsrNTWrVs1a9Ys9e3bV4cOHdI999yj//f//p8+/vhjr2M9/PDDmjRpkuf7+Ph4H11lyxQcXboXHxOhxNhIi6sBgOBUU1Mjt9utrKwsxcUx6xSBLTY2VpGRkdq9e7dqamoUExPTouMQSgWJY6EU0zgBALDCvHnzNGnSJE2cOFGStGDBAq1evVqLFi1qcNZSu3btvL5ftmyZ4uLiPKFUYmKi1q5d67XPM888o4EDB2rPnj067bTTPNvj4+OVlpbW2pfUavYeop8UALSWls44AfytNf6u8rc9SHiW75WwfA8AAH+rqanRli1bNHz4cM82u92u4cOHa8OGDU06xsKFC3XDDTeoTZvGH1hSWloqm82mpKQkr+2PPfaY2rdvr3POOUdPPPGE6urqGj2G0+lUWVmZ18vX6CcFAABaglAqSKQfvfNYVFotl9uwuBoAAMLLgQMH5HK5lJqa6rU9NTVVRUVFJ/38pk2btH37dt12222N7lNdXa377rtPY8aMUUJCgmf7L37xCy1btkzvvPOO7rjjDj366KP69a9/3ehxcnNzlZiY6HllZWU14QpPTZ4nlGKmFACgdXTu3Fnz589v8v7r16+XzWZTSUmJz2pC62P5XpBIjY+Ww25TrcvQe1/uV0rbI99HOGxy2G2KtNvlcNgUYT/y/bH/2j3f2+00yQMAwAoLFy5Unz59Gm2KXltbq+uuu06GYej555/3ei8nJ8fz9dlnn62oqCjdcccdys3NVXR0dL1jzZgxw+szZWVlPg+mzJnchFIAEH5O1ox9zpw5evDBB5t93M2bN59wdvEPDR48WIWFhUpMTGz2uVqqR48e+vbbb7V79+6AXmYfyAilgkSEw660hBjll1Rp4oubW3QMu01eIZUZYnm2OY4PtOyeYCvSUT/gOra/XZFe33vvZ+5TPyyzyeHw/qz9uP8zO/7/2I7/v7jj///OdvQd720N76uT7lv/fF77NnDe43c+2bHq13NiXuc40X7NOmYzkF9aoqk/91Y5V4j+jA0/TyQ1xMzV1pKZFKfT2gfu0q+UlBQ5HA7t27fPa/u+fftOOgitqKjQsmXL9PDDDzf4vhlI7d69W//+97+9Zkk1JDs7W3V1dfruu+/UvXv3eu9HR0c3GFb5Ut6hIz0v6SkFAOGnsLDQ8/Xy5cs1e/Zs7dy507Otbdu2nq8Nw5DL5VJExMmjiA4dOjSrjqioKL8GQ++//76qqqp0zTXX6KWXXtJ9993nt3M3pLa2VpGRwfewEUKpIHLHT87Qix98p1q3Wy6XoTq3IZf7yH/rXG6v7xviNqQal1ty+blwAABOYvKFXfWrET2sLqNRUVFR6t+/v9atW6crr7xS0pFHd69bt05Tpkw54WdffvllOZ1O3XTTTfXeMwOpr776Su+8847at29/0lq2bdsmu93e4BP/rGL2lMpgphQAhJ3jg6DExETZbDbPtvXr1+vCCy/U66+/rpkzZ+rzzz/XW2+9paysLOXk5Gjjxo2qqKhQz549lZub69W7sXPnzpo6daqmTp0q6cjN/xdeeEGrV6/Wm2++qYyMDD311FP6f//v/3md69ChQ0pKStKLL76oqVOnavny5Zo6dar27t2roUOHavHixerUqZMkqa6uTjk5Ofrzn/8sh8Oh2267TUVFRSotLdUrr7xywuteuHChbrzxRv3kJz/RPffcUy+UysvL069+9Su9+eabcjqd6tmzp5599lllZ2dLkv71r3/p4Ycf1ueff662bdvq/PPP18qVKz3XunLlSs+YQ5KSkpI0f/58TZgwQd999526dOmiZcuW6bnnntNHH32kBQsWaNSoUZoyZYree+89HTp0SF27dtX999+vMWPGeI7jdrv15JNP6o9//KP27t2r1NRU3XHHHXrggQd00UUXqVevXnrmmWc8++/fv18ZGRl64403dPHFFzflr0SzEEoFkXGDOmvcoM4n3c8wDLkNqc7tlsttqNZlhlVHvq9zHRdmud1e33vt59n3uMDLa1/3ccf+wX4NBGXHgjS359jHf+8+OsXh+JkOXl8fNyPB3O4VvzVjX+O4A3tvb+i4J9u3/rnq1950hg+mejTnkM2Z+eHvWSloHaH+YwvRSWCSQneGmyS1b+PfmT0tkZOTo/Hjx2vAgAEaOHCg5s+fr4qKCs/T+MaNG6eMjAzl5uZ6fW7hwoW68sor6wVOtbW1uuaaa7R161a99tprcrlcnv5U7dq1U1RUlDZs2KCPPvpIF154oeLj47VhwwZNmzZNN910k5KTk/1z4Sfhdhs6vX2c7DYbM6UAoJUZhqGqWmtmFcRGOk66NK+ppk+frieffFJnnHGGkpOTtXfvXo0cOVKPPPKIoqOj9ec//1mjRo3Szp07vZ4++0MPPfSQfvOb3+iJJ57Q008/rbFjx2r37t31nnhrqqys1JNPPqm//OUvstvtuummm3TvvfdqyZIlkqTHH39cS5Ys0eLFi9WzZ0/97ne/0yuvvKILL7zwhNdz+PBhvfzyy/roo4/Uo0cPlZaW6j//+Y/OP/98SVJ5ebl+8pOfKCMjQ6tWrVJaWpq2bt0qt9stSVq9erWuuuoqPfDAA/rzn/+smpoavf766y36c33qqad0zjnnKCYmRtXV1erfv7/uu+8+JSQkaPXq1br55pvVtWtXTwuBGTNm6IUXXtBvf/tbDR06VIWFhfriiy8kSbfddpumTJmip556yjPr+q9//asyMjJ00UUXNbu+piCUCkE2m00Om+SwO6wuBQCAkHH99ddr//79mj17toqKitSvXz+tWbPG0/x8z5499R6NvHPnTr3//vt666236h0vPz9fq1atkiT169fP67133nlHw4YNU3R0tJYtW6YHH3xQTqdTXbp00bRp07x6RlnNbrfp5TsHW10GAISkqlqXes1+05Jz/+/hEYqLap3I4OGHH9ZPf/pTz/ft2rVT3759Pd/PnTtXK1eu1KpVq044A3nChAmeWT+PPvqofv/732vTpk269NJLG9y/trZWCxYsUNeuXSVJU6ZM8VpO//TTT2vGjBm66qqrJEnPPPNMk8KhZcuWqVu3bjrrrLMkSTfccIMWLlzoCaWWLl2q/fv3a/PmzZ7A7Mwzz/R8/pFHHtENN9yghx56yLPt+D+Pppo6daquvvpqr2333nuv5+u7775bb775pv7+979r4MCBOnz4sH73u9/pmWee0fjx4yVJXbt21dChQyVJV199taZMmaJXX31V1113nSTpxRdf1IQJE1otoPyhFv0Ne/bZZ/XEE0+oqKhIffv21dNPP91o404AAIBQMWXKlEYHy+vXr6+3rXv37o3OgO3cufNJZ8eee+652rhxY7PrBAAgkAwYMMDr+/Lycj344INavXq1CgsLVVdXp6qqKu3Zs+eExzn77LM9X7dp00YJCQkqLi5udP+4uDhPICVJnTp18uxfWlqqffv2eWUZDodD/fv398xoasyiRYu8luXfdNNN+slPfqKnn35a8fHx2rZtm84555xGZ3Bt27ZNkyZNOuE5muKHf64ul0uPPvqo/v73vys/P181NTVyOp2KizvSt3PHjh1yOp2NLsOLiYnRzTffrEWLFum6667T1q1btX37ds9NNF9odii1fPly5eTkaMGCBcrOztb8+fM1YsQI7dy5M6B6GwAAAAAAEMxiIx3638MjLDt3a/nhU/TuvfderV27Vk8++aTOPPNMxcbG6pprrlFNTc0Jj/PDRt42m+2EAVJD+59qu5T//e9/2rhxozZt2uTVR8rlcmnZsmWaNGmSYmNPvJz9ZO83VGdtbW29/X745/rEE0/od7/7nebPn68+ffqoTZs2mjp1qufP9WTnlY4s4evXr5/y8vK0ePFiXXTRRTr99NNP+rmWsp98F2/z5s3TpEmTNHHiRPXq1UsLFixQXFycFi1a5Iv6AAAAAAAISzabTXFREZa8fLVcS5I++OADTZgwQVdddZX69OmjtLQ0fffddz47X0MSExOVmpqqzZuPPd3e5XJp69atJ/zcwoULdcEFF+jTTz/Vtm3bPK+cnBwtXLhQ0pEZXdu2bdP333/f4DHOPvtsrVu3rtFzdOjQweuphl999ZUqKytPek0ffPCBrrjiCt10003q27evzjjjDH355Zee97t166bY2NgTnrtPnz4aMGCAXnjhBS1dulS33HLLSc97KpoVStXU1GjLli1eHfHtdruGDx+uDRs2tHpxAAAAAAAgtHTr1k0rVqzQtm3b9Omnn+rGG2886ZI5X7j77ruVm5urV199VTt37tQ999yjQ4cONRrI1dbW6i9/+YvGjBmj3r17e71uu+02ffTRR/rvf/+rMWPGKC0tTVdeeaU++OADffPNN/rnP//pyU3mzJmjv/3tb5ozZ4527Nihzz//XI8//rjnPBdddJGeeeYZffLJJ/r4449155131pv11ZBu3bpp7dq1+vDDD7Vjxw7dcccd2rdvn+f9mJgY3Xffffr1r3+tP//5z9q1a5c2btzoCdNMt912mx577DEZhuHpt+UrzQqlDhw4IJfL5WnoaUpNTfU8LeaHnE6nysrKvF4AAAAAACA8zZs3T8nJyRo8eLBGjRqlESNG6Nxzz/V7Hffdd5/GjBmjcePGadCgQWrbtq1GjBihmJiYBvdftWqVDh482GBQ07NnT/Xs2VMLFy5UVFSU3nrrLXXs2FEjR45Unz599Nhjj8nhOLIkctiwYXr55Ze1atUq9evXTxdddJE2bdrkOdZTTz2lrKwsnX/++brxxht17733evpCncjMmTN17rnnasSIERo2bJgnGDverFmz9Mtf/lKzZ89Wz549df3119fryzVmzBhFRERozJgxjf5ZtBab0YwFlQUFBcrIyNCHH36oQYMGebb/+te/1rvvvquPPvqo3mcefPBBr47yptLSUiUkJLSwbAAAgKYpKytTYmJi2I49wv36ASBYVFdX69tvv1WXLl18HgSgYW63Wz179tR1112nuXPnWl2OZb777jt17dpVmzdvPmFYeKK/s00dfzRrplRKSoocDofX9C9J2rdvn9LS0hr8zIwZM1RaWup57d27tzmnBAAAAAAAaHW7d+/WCy+8oC+//FKff/657rrrLn377be68cYbrS7NErW1tSoqKtLMmTP14x//2C+z15oVSkVFRal///5eTbHcbrfWrVvnNXPqeNHR0UpISPB6AQAAAAAAWMlut+vFF1/UeeedpyFDhujzzz/X22+/rZ49e1pdmiU++OADderUSZs3b9aCBQv8cs6I5n4gJydH48eP14ABAzRw4EDNnz9fFRUVmjhxoi/qAwAAAAAAaHVZWVn64IMPrC4jYAwbNkzN6PDUKpodSl1//fXav3+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          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Evaluate the model on test data\n",
        "loss, accuracy = model.evaluate(X_test, y_test, verbose=0)\n",
        "print(\"Loss:\", loss)\n",
        "print(\"Accuracy:\", accuracy)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "GfLfD7JZNJN0",
        "outputId": "49dff076-0f6a-435e-ca25-56b2e6a21dfe"
      },
      "execution_count": 18,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Loss: 0.11856061220169067\n",
            "Accuracy: 0.9181098341941833\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [],
      "metadata": {
        "id": "tXiP_vfHUBXR"
      },
      "execution_count": 18,
      "outputs": []
    }
  ],
  "metadata": {
    "colab": {
      "provenance": [],
      "gpuType": "T4"
    },
    "kernelspec": {
      "display_name": "Python 3",
      "name": "python3"
    },
    "language_info": {
      "name": "python"
    },
    "accelerator": "GPU"
  },
  "nbformat": 4,
  "nbformat_minor": 0
}