Alert_System_Evaluation.ipynb

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        "<a href=\"https://colab.research.google.com/github/shivi13102/Earthquake_analysis/blob/main/Alert_System_Evaluation.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
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      "source": [
        "import pandas as pd\n",
        "import numpy as np\n",
        "import seaborn as sns\n",
        "import matplotlib.pyplot as plt\n",
        "from sklearn.model_selection import train_test_split\n",
        "from sklearn.ensemble import RandomForestClassifier\n",
        "from sklearn.metrics import classification_report, confusion_matrix\n",
        "\n",
        "import geopandas as gpd\n",
        "import plotly.express as px"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df = pd.read_csv(\"Final_data.csv\")\n",
        "display(df)"
      ],
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        "outputId": "9f44dce1-cfeb-4921-d2c3-f970a6e4227f"
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      "outputs": [
        {
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          "data": {
            "text/plain": [
              "                                                  title  magnitude  \\\n",
              "0     M 6.6 - 277 km NNE of Codrington, Antigua and ...        6.6   \n",
              "1                    M 7.6 - 95 km WNW of Hihifo, Tonga        7.6   \n",
              "2               M 7.6 - Pulau Pulau Tanimbar, Indonesia        7.6   \n",
              "3                      M 6.5 - 42 km W of Sola, Vanuatu        6.5   \n",
              "4                                       M 7.0 - Vanuatu        7.0   \n",
              "...                                                 ...        ...   \n",
              "1307          M 7.1 - 14 km NE of Cabatuan, Philippines        7.1   \n",
              "1308             M 7.9 - 128 km ESE of Kuril’sk, Russia        7.9   \n",
              "1309                 M 6.5 - 50 km SE of Sucúa, Ecuador        6.5   \n",
              "1310                 M 7.0 - 45 km SE of Sucúa, Ecuador        7.0   \n",
              "1311               M 6.7 - 73 km WSW of Vallenar, Chile        6.7   \n",
              "\n",
              "            date_time  cdi  mmi   alert  tsunami    sig net    nst  ...   gap  \\\n",
              "0     10/7/2023 20:28  5.0  4.0   green        1  802.0  us   95.0  ...  37.0   \n",
              "1     10/5/2023 16:02  8.0  6.0   green        1  907.0  us  111.0  ...  17.0   \n",
              "2      9/1/2023 17:47  5.0  7.0   green        0  957.0  us  114.0  ...  21.0   \n",
              "3     8/16/2023 12:47  7.0  4.0   green        0  657.0  us  114.0  ...  25.0   \n",
              "4      8/1/2023 12:32  8.0  7.0   green        1  768.0  us  116.0  ...  36.0   \n",
              "...               ...  ...  ...     ...      ...    ...  ..    ...  ...   ...   \n",
              "1307    5/5/1995 3:53  0.0  7.0   green        0  776.0  us    0.0  ...   0.0   \n",
              "1308  3/12/1995 18:01  0.0  6.0  orange        0  960.0  us    0.0  ...   0.0   \n",
              "1309  3/10/1995 12:44  0.0  7.0   green        0  650.0  us    0.0  ...   0.0   \n",
              "1310   3/10/1995 1:51  0.0  7.0  orange        0  754.0  us    0.0  ...   0.0   \n",
              "1311   1/11/1995 0:35  0.0  7.0   green        0  691.0  us    0.0  ...   0.0   \n",
              "\n",
              "      magType    depth  latitude  longitude                         location  \\\n",
              "0         mww   10.000   20.0196   -61.0955  Codrington, Antigua and Barbuda   \n",
              "1         mww  210.097  -15.6002  -174.6080                    Hihifo, Tonga   \n",
              "2         mww  105.249   -7.0852   130.0390  Pulau Pulau Tanimbar, Indonesia   \n",
              "3         mww  192.955  -13.8814   167.1580                    Sola, Vanuatu   \n",
              "4         mww   29.000  -14.9383   166.8780                          Vanuatu   \n",
              "...       ...      ...       ...        ...                              ...   \n",
              "1307      mww   16.000   12.6260   125.2970            Cabatuan, Philippines   \n",
              "1308      mww   33.000   44.6630   149.3000                 Kuril’sk, Russia   \n",
              "1309      mww   16.700   -2.7780   -77.8510                   Sucúa, Ecuador   \n",
              "1310      mww   24.400   -2.7500   -77.8810                   Sucúa, Ecuador   \n",
              "1311      mww   19.900  -28.9060   -71.4170                  Vallenar, Chile   \n",
              "\n",
              "          country  year  month  earthquake_intensity_category  \n",
              "0       Indonesia  2023     10                       Moderate  \n",
              "1       Indonesia  2023     10                         Severe  \n",
              "2       Indonesia  2023      9                         Severe  \n",
              "3         Vanuatu  2023      8                         Severe  \n",
              "4         Vanuatu  2023      8                         Severe  \n",
              "...           ...   ...    ...                            ...  \n",
              "1307  Philippines  1995      5                         Severe  \n",
              "1308    Indonesia  1995      3                       Moderate  \n",
              "1309      Ecuador  1995      3                         Severe  \n",
              "1310      Ecuador  1995      3                         Severe  \n",
              "1311        Chile  1995      1                         Severe  \n",
              "\n",
              "[1312 rows x 21 columns]"
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>title</th>\n",
              "      <th>magnitude</th>\n",
              "      <th>date_time</th>\n",
              "      <th>cdi</th>\n",
              "      <th>mmi</th>\n",
              "      <th>alert</th>\n",
              "      <th>tsunami</th>\n",
              "      <th>sig</th>\n",
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              "      <th>nst</th>\n",
              "      <th>...</th>\n",
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              "      <th>magType</th>\n",
              "      <th>depth</th>\n",
              "      <th>latitude</th>\n",
              "      <th>longitude</th>\n",
              "      <th>location</th>\n",
              "      <th>country</th>\n",
              "      <th>year</th>\n",
              "      <th>month</th>\n",
              "      <th>earthquake_intensity_category</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>M 6.6 - 277 km NNE of Codrington, Antigua and ...</td>\n",
              "      <td>6.6</td>\n",
              "      <td>10/7/2023 20:28</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>green</td>\n",
              "      <td>1</td>\n",
              "      <td>802.0</td>\n",
              "      <td>us</td>\n",
              "      <td>95.0</td>\n",
              "      <td>...</td>\n",
              "      <td>37.0</td>\n",
              "      <td>mww</td>\n",
              "      <td>10.000</td>\n",
              "      <td>20.0196</td>\n",
              "      <td>-61.0955</td>\n",
              "      <td>Codrington, Antigua and Barbuda</td>\n",
              "      <td>Indonesia</td>\n",
              "      <td>2023</td>\n",
              "      <td>10</td>\n",
              "      <td>Moderate</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>M 7.6 - 95 km WNW of Hihifo, Tonga</td>\n",
              "      <td>7.6</td>\n",
              "      <td>10/5/2023 16:02</td>\n",
              "      <td>8.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>green</td>\n",
              "      <td>1</td>\n",
              "      <td>907.0</td>\n",
              "      <td>us</td>\n",
              "      <td>111.0</td>\n",
              "      <td>...</td>\n",
              "      <td>17.0</td>\n",
              "      <td>mww</td>\n",
              "      <td>210.097</td>\n",
              "      <td>-15.6002</td>\n",
              "      <td>-174.6080</td>\n",
              "      <td>Hihifo, Tonga</td>\n",
              "      <td>Indonesia</td>\n",
              "      <td>2023</td>\n",
              "      <td>10</td>\n",
              "      <td>Severe</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>M 7.6 - Pulau Pulau Tanimbar, Indonesia</td>\n",
              "      <td>7.6</td>\n",
              "      <td>9/1/2023 17:47</td>\n",
              "      <td>5.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>green</td>\n",
              "      <td>0</td>\n",
              "      <td>957.0</td>\n",
              "      <td>us</td>\n",
              "      <td>114.0</td>\n",
              "      <td>...</td>\n",
              "      <td>21.0</td>\n",
              "      <td>mww</td>\n",
              "      <td>105.249</td>\n",
              "      <td>-7.0852</td>\n",
              "      <td>130.0390</td>\n",
              "      <td>Pulau Pulau Tanimbar, Indonesia</td>\n",
              "      <td>Indonesia</td>\n",
              "      <td>2023</td>\n",
              "      <td>9</td>\n",
              "      <td>Severe</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>M 6.5 - 42 km W of Sola, Vanuatu</td>\n",
              "      <td>6.5</td>\n",
              "      <td>8/16/2023 12:47</td>\n",
              "      <td>7.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>green</td>\n",
              "      <td>0</td>\n",
              "      <td>657.0</td>\n",
              "      <td>us</td>\n",
              "      <td>114.0</td>\n",
              "      <td>...</td>\n",
              "      <td>25.0</td>\n",
              "      <td>mww</td>\n",
              "      <td>192.955</td>\n",
              "      <td>-13.8814</td>\n",
              "      <td>167.1580</td>\n",
              "      <td>Sola, Vanuatu</td>\n",
              "      <td>Vanuatu</td>\n",
              "      <td>2023</td>\n",
              "      <td>8</td>\n",
              "      <td>Severe</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>M 7.0 - Vanuatu</td>\n",
              "      <td>7.0</td>\n",
              "      <td>8/1/2023 12:32</td>\n",
              "      <td>8.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>green</td>\n",
              "      <td>1</td>\n",
              "      <td>768.0</td>\n",
              "      <td>us</td>\n",
              "      <td>116.0</td>\n",
              "      <td>...</td>\n",
              "      <td>36.0</td>\n",
              "      <td>mww</td>\n",
              "      <td>29.000</td>\n",
              "      <td>-14.9383</td>\n",
              "      <td>166.8780</td>\n",
              "      <td>Vanuatu</td>\n",
              "      <td>Vanuatu</td>\n",
              "      <td>2023</td>\n",
              "      <td>8</td>\n",
              "      <td>Severe</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",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
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              "    <tr>\n",
              "      <th>1307</th>\n",
              "      <td>M 7.1 - 14 km NE of Cabatuan, Philippines</td>\n",
              "      <td>7.1</td>\n",
              "      <td>5/5/1995 3:53</td>\n",
              "      <td>0.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>green</td>\n",
              "      <td>0</td>\n",
              "      <td>776.0</td>\n",
              "      <td>us</td>\n",
              "      <td>0.0</td>\n",
              "      <td>...</td>\n",
              "      <td>0.0</td>\n",
              "      <td>mww</td>\n",
              "      <td>16.000</td>\n",
              "      <td>12.6260</td>\n",
              "      <td>125.2970</td>\n",
              "      <td>Cabatuan, Philippines</td>\n",
              "      <td>Philippines</td>\n",
              "      <td>1995</td>\n",
              "      <td>5</td>\n",
              "      <td>Severe</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1308</th>\n",
              "      <td>M 7.9 - 128 km ESE of Kuril’sk, Russia</td>\n",
              "      <td>7.9</td>\n",
              "      <td>3/12/1995 18:01</td>\n",
              "      <td>0.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>orange</td>\n",
              "      <td>0</td>\n",
              "      <td>960.0</td>\n",
              "      <td>us</td>\n",
              "      <td>0.0</td>\n",
              "      <td>...</td>\n",
              "      <td>0.0</td>\n",
              "      <td>mww</td>\n",
              "      <td>33.000</td>\n",
              "      <td>44.6630</td>\n",
              "      <td>149.3000</td>\n",
              "      <td>Kuril’sk, Russia</td>\n",
              "      <td>Indonesia</td>\n",
              "      <td>1995</td>\n",
              "      <td>3</td>\n",
              "      <td>Moderate</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1309</th>\n",
              "      <td>M 6.5 - 50 km SE of Sucúa, Ecuador</td>\n",
              "      <td>6.5</td>\n",
              "      <td>3/10/1995 12:44</td>\n",
              "      <td>0.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>green</td>\n",
              "      <td>0</td>\n",
              "      <td>650.0</td>\n",
              "      <td>us</td>\n",
              "      <td>0.0</td>\n",
              "      <td>...</td>\n",
              "      <td>0.0</td>\n",
              "      <td>mww</td>\n",
              "      <td>16.700</td>\n",
              "      <td>-2.7780</td>\n",
              "      <td>-77.8510</td>\n",
              "      <td>Sucúa, Ecuador</td>\n",
              "      <td>Ecuador</td>\n",
              "      <td>1995</td>\n",
              "      <td>3</td>\n",
              "      <td>Severe</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1310</th>\n",
              "      <td>M 7.0 - 45 km SE of Sucúa, Ecuador</td>\n",
              "      <td>7.0</td>\n",
              "      <td>3/10/1995 1:51</td>\n",
              "      <td>0.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>orange</td>\n",
              "      <td>0</td>\n",
              "      <td>754.0</td>\n",
              "      <td>us</td>\n",
              "      <td>0.0</td>\n",
              "      <td>...</td>\n",
              "      <td>0.0</td>\n",
              "      <td>mww</td>\n",
              "      <td>24.400</td>\n",
              "      <td>-2.7500</td>\n",
              "      <td>-77.8810</td>\n",
              "      <td>Sucúa, Ecuador</td>\n",
              "      <td>Ecuador</td>\n",
              "      <td>1995</td>\n",
              "      <td>3</td>\n",
              "      <td>Severe</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1311</th>\n",
              "      <td>M 6.7 - 73 km WSW of Vallenar, Chile</td>\n",
              "      <td>6.7</td>\n",
              "      <td>1/11/1995 0:35</td>\n",
              "      <td>0.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>green</td>\n",
              "      <td>0</td>\n",
              "      <td>691.0</td>\n",
              "      <td>us</td>\n",
              "      <td>0.0</td>\n",
              "      <td>...</td>\n",
              "      <td>0.0</td>\n",
              "      <td>mww</td>\n",
              "      <td>19.900</td>\n",
              "      <td>-28.9060</td>\n",
              "      <td>-71.4170</td>\n",
              "      <td>Vallenar, Chile</td>\n",
              "      <td>Chile</td>\n",
              "      <td>1995</td>\n",
              "      <td>1</td>\n",
              "      <td>Severe</td>\n",
              "    </tr>\n",
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              "<p>1312 rows × 21 columns</p>\n",
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            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "df"
            }
          },
          "metadata": {}
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      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Get unique values of the 'alert' column\n",
        "unique_alerts = df['alert'].unique()\n",
        "\n",
        "# Print the unique values\n",
        "print(\"Unique values in 'alert' column:\", unique_alerts)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "QmFOERPEe4BI",
        "outputId": "edffd3de-374c-4e22-b273-649c4271dca8"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Unique values in 'alert' column: ['green' 'yellow' 'orange' 'red']\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "alert_counts = df['alert'].value_counts()\n",
        "print(alert_counts)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "oECQY4UipPDq",
        "outputId": "b11d5b91-35c5-47ec-fdb4-c4f907de6e52"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "alert\n",
            "green     971\n",
            "orange    237\n",
            "yellow     87\n",
            "red        17\n",
            "Name: count, dtype: int64\n"
          ]
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Alert Gap Analysis"
      ],
      "metadata": {
        "id": "a7c_WZufhFlU"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Function to get expected alert based on event characteristics\n",
        "def get_expected_alert(row):\n",
        "    if row['tsunami'] == 1:\n",
        "        return \"red\"\n",
        "\n",
        "    # Red alert for magnitude >= 6.5 and depth < 30\n",
        "    elif row['magnitude'] >= 6.5 and row['depth'] < 30:\n",
        "        return \"red\"\n",
        "\n",
        "    # Orange alert for magnitude >= 5.5 and depth between 20 and 50\n",
        "    elif row['magnitude'] >= 5.5 and 20 <= row['depth'] < 50:\n",
        "        return \"orange\"\n",
        "\n",
        "    # Yellow alert for magnitude >= 4.0 and depth between 50 and 100\n",
        "    elif row['magnitude'] >= 4.0 and 50 <= row['depth'] < 100:\n",
        "        return \"yellow\"\n",
        "\n",
        "    # Green alert for everything else\n",
        "    else:\n",
        "        return \"green\"\n",
        "\n",
        "df['expected_alert'] = df.apply(get_expected_alert, axis=1)\n",
        "cols = list(df.columns)\n",
        "alert_index = cols.index('alert')\n",
        "cols.insert(alert_index + 1, cols.pop(cols.index('expected_alert')))\n",
        "df = df[cols]\n",
        "\n",
        "display(df)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 964
        },
        "id": "UWUws4-DiBrV",
        "outputId": "88abd284-bbec-49d5-af01-32ea0069e159"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "                                                  title  magnitude  \\\n",
              "0     M 6.6 - 277 km NNE of Codrington, Antigua and ...        6.6   \n",
              "1                    M 7.6 - 95 km WNW of Hihifo, Tonga        7.6   \n",
              "2               M 7.6 - Pulau Pulau Tanimbar, Indonesia        7.6   \n",
              "3                      M 6.5 - 42 km W of Sola, Vanuatu        6.5   \n",
              "4                                       M 7.0 - Vanuatu        7.0   \n",
              "...                                                 ...        ...   \n",
              "1307          M 7.1 - 14 km NE of Cabatuan, Philippines        7.1   \n",
              "1308             M 7.9 - 128 km ESE of Kuril’sk, Russia        7.9   \n",
              "1309                 M 6.5 - 50 km SE of Sucúa, Ecuador        6.5   \n",
              "1310                 M 7.0 - 45 km SE of Sucúa, Ecuador        7.0   \n",
              "1311               M 6.7 - 73 km WSW of Vallenar, Chile        6.7   \n",
              "\n",
              "            date_time  cdi  mmi   alert expected_alert  tsunami    sig net  \\\n",
              "0     10/7/2023 20:28  5.0  4.0   green            red        1  802.0  us   \n",
              "1     10/5/2023 16:02  8.0  6.0   green            red        1  907.0  us   \n",
              "2      9/1/2023 17:47  5.0  7.0   green          green        0  957.0  us   \n",
              "3     8/16/2023 12:47  7.0  4.0   green          green        0  657.0  us   \n",
              "4      8/1/2023 12:32  8.0  7.0   green            red        1  768.0  us   \n",
              "...               ...  ...  ...     ...            ...      ...    ...  ..   \n",
              "1307    5/5/1995 3:53  0.0  7.0   green            red        0  776.0  us   \n",
              "1308  3/12/1995 18:01  0.0  6.0  orange         orange        0  960.0  us   \n",
              "1309  3/10/1995 12:44  0.0  7.0   green            red        0  650.0  us   \n",
              "1310   3/10/1995 1:51  0.0  7.0  orange            red        0  754.0  us   \n",
              "1311   1/11/1995 0:35  0.0  7.0   green            red        0  691.0  us   \n",
              "\n",
              "      ...   gap  magType    depth latitude  longitude  \\\n",
              "0     ...  37.0      mww   10.000  20.0196   -61.0955   \n",
              "1     ...  17.0      mww  210.097 -15.6002  -174.6080   \n",
              "2     ...  21.0      mww  105.249  -7.0852   130.0390   \n",
              "3     ...  25.0      mww  192.955 -13.8814   167.1580   \n",
              "4     ...  36.0      mww   29.000 -14.9383   166.8780   \n",
              "...   ...   ...      ...      ...      ...        ...   \n",
              "1307  ...   0.0      mww   16.000  12.6260   125.2970   \n",
              "1308  ...   0.0      mww   33.000  44.6630   149.3000   \n",
              "1309  ...   0.0      mww   16.700  -2.7780   -77.8510   \n",
              "1310  ...   0.0      mww   24.400  -2.7500   -77.8810   \n",
              "1311  ...   0.0      mww   19.900 -28.9060   -71.4170   \n",
              "\n",
              "                             location      country  year month  \\\n",
              "0     Codrington, Antigua and Barbuda    Indonesia  2023    10   \n",
              "1                       Hihifo, Tonga    Indonesia  2023    10   \n",
              "2     Pulau Pulau Tanimbar, Indonesia    Indonesia  2023     9   \n",
              "3                       Sola, Vanuatu      Vanuatu  2023     8   \n",
              "4                             Vanuatu      Vanuatu  2023     8   \n",
              "...                               ...          ...   ...   ...   \n",
              "1307            Cabatuan, Philippines  Philippines  1995     5   \n",
              "1308                 Kuril’sk, Russia    Indonesia  1995     3   \n",
              "1309                   Sucúa, Ecuador      Ecuador  1995     3   \n",
              "1310                   Sucúa, Ecuador      Ecuador  1995     3   \n",
              "1311                  Vallenar, Chile        Chile  1995     1   \n",
              "\n",
              "      earthquake_intensity_category  \n",
              "0                          Moderate  \n",
              "1                            Severe  \n",
              "2                            Severe  \n",
              "3                            Severe  \n",
              "4                            Severe  \n",
              "...                             ...  \n",
              "1307                         Severe  \n",
              "1308                       Moderate  \n",
              "1309                         Severe  \n",
              "1310                         Severe  \n",
              "1311                         Severe  \n",
              "\n",
              "[1312 rows x 22 columns]"
            ],
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              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>title</th>\n",
              "      <th>magnitude</th>\n",
              "      <th>date_time</th>\n",
              "      <th>cdi</th>\n",
              "      <th>mmi</th>\n",
              "      <th>alert</th>\n",
              "      <th>expected_alert</th>\n",
              "      <th>tsunami</th>\n",
              "      <th>sig</th>\n",
              "      <th>net</th>\n",
              "      <th>...</th>\n",
              "      <th>gap</th>\n",
              "      <th>magType</th>\n",
              "      <th>depth</th>\n",
              "      <th>latitude</th>\n",
              "      <th>longitude</th>\n",
              "      <th>location</th>\n",
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              "      <th>month</th>\n",
              "      <th>earthquake_intensity_category</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>M 6.6 - 277 km NNE of Codrington, Antigua and ...</td>\n",
              "      <td>6.6</td>\n",
              "      <td>10/7/2023 20:28</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>green</td>\n",
              "      <td>red</td>\n",
              "      <td>1</td>\n",
              "      <td>802.0</td>\n",
              "      <td>us</td>\n",
              "      <td>...</td>\n",
              "      <td>37.0</td>\n",
              "      <td>mww</td>\n",
              "      <td>10.000</td>\n",
              "      <td>20.0196</td>\n",
              "      <td>-61.0955</td>\n",
              "      <td>Codrington, Antigua and Barbuda</td>\n",
              "      <td>Indonesia</td>\n",
              "      <td>2023</td>\n",
              "      <td>10</td>\n",
              "      <td>Moderate</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>M 7.6 - 95 km WNW of Hihifo, Tonga</td>\n",
              "      <td>7.6</td>\n",
              "      <td>10/5/2023 16:02</td>\n",
              "      <td>8.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>green</td>\n",
              "      <td>red</td>\n",
              "      <td>1</td>\n",
              "      <td>907.0</td>\n",
              "      <td>us</td>\n",
              "      <td>...</td>\n",
              "      <td>17.0</td>\n",
              "      <td>mww</td>\n",
              "      <td>210.097</td>\n",
              "      <td>-15.6002</td>\n",
              "      <td>-174.6080</td>\n",
              "      <td>Hihifo, Tonga</td>\n",
              "      <td>Indonesia</td>\n",
              "      <td>2023</td>\n",
              "      <td>10</td>\n",
              "      <td>Severe</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>M 7.6 - Pulau Pulau Tanimbar, Indonesia</td>\n",
              "      <td>7.6</td>\n",
              "      <td>9/1/2023 17:47</td>\n",
              "      <td>5.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>green</td>\n",
              "      <td>green</td>\n",
              "      <td>0</td>\n",
              "      <td>957.0</td>\n",
              "      <td>us</td>\n",
              "      <td>...</td>\n",
              "      <td>21.0</td>\n",
              "      <td>mww</td>\n",
              "      <td>105.249</td>\n",
              "      <td>-7.0852</td>\n",
              "      <td>130.0390</td>\n",
              "      <td>Pulau Pulau Tanimbar, Indonesia</td>\n",
              "      <td>Indonesia</td>\n",
              "      <td>2023</td>\n",
              "      <td>9</td>\n",
              "      <td>Severe</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>M 6.5 - 42 km W of Sola, Vanuatu</td>\n",
              "      <td>6.5</td>\n",
              "      <td>8/16/2023 12:47</td>\n",
              "      <td>7.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>green</td>\n",
              "      <td>green</td>\n",
              "      <td>0</td>\n",
              "      <td>657.0</td>\n",
              "      <td>us</td>\n",
              "      <td>...</td>\n",
              "      <td>25.0</td>\n",
              "      <td>mww</td>\n",
              "      <td>192.955</td>\n",
              "      <td>-13.8814</td>\n",
              "      <td>167.1580</td>\n",
              "      <td>Sola, Vanuatu</td>\n",
              "      <td>Vanuatu</td>\n",
              "      <td>2023</td>\n",
              "      <td>8</td>\n",
              "      <td>Severe</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>M 7.0 - Vanuatu</td>\n",
              "      <td>7.0</td>\n",
              "      <td>8/1/2023 12:32</td>\n",
              "      <td>8.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>green</td>\n",
              "      <td>red</td>\n",
              "      <td>1</td>\n",
              "      <td>768.0</td>\n",
              "      <td>us</td>\n",
              "      <td>...</td>\n",
              "      <td>36.0</td>\n",
              "      <td>mww</td>\n",
              "      <td>29.000</td>\n",
              "      <td>-14.9383</td>\n",
              "      <td>166.8780</td>\n",
              "      <td>Vanuatu</td>\n",
              "      <td>Vanuatu</td>\n",
              "      <td>2023</td>\n",
              "      <td>8</td>\n",
              "      <td>Severe</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",
              "      <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>1307</th>\n",
              "      <td>M 7.1 - 14 km NE of Cabatuan, Philippines</td>\n",
              "      <td>7.1</td>\n",
              "      <td>5/5/1995 3:53</td>\n",
              "      <td>0.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>green</td>\n",
              "      <td>red</td>\n",
              "      <td>0</td>\n",
              "      <td>776.0</td>\n",
              "      <td>us</td>\n",
              "      <td>...</td>\n",
              "      <td>0.0</td>\n",
              "      <td>mww</td>\n",
              "      <td>16.000</td>\n",
              "      <td>12.6260</td>\n",
              "      <td>125.2970</td>\n",
              "      <td>Cabatuan, Philippines</td>\n",
              "      <td>Philippines</td>\n",
              "      <td>1995</td>\n",
              "      <td>5</td>\n",
              "      <td>Severe</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1308</th>\n",
              "      <td>M 7.9 - 128 km ESE of Kuril’sk, Russia</td>\n",
              "      <td>7.9</td>\n",
              "      <td>3/12/1995 18:01</td>\n",
              "      <td>0.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>orange</td>\n",
              "      <td>orange</td>\n",
              "      <td>0</td>\n",
              "      <td>960.0</td>\n",
              "      <td>us</td>\n",
              "      <td>...</td>\n",
              "      <td>0.0</td>\n",
              "      <td>mww</td>\n",
              "      <td>33.000</td>\n",
              "      <td>44.6630</td>\n",
              "      <td>149.3000</td>\n",
              "      <td>Kuril’sk, Russia</td>\n",
              "      <td>Indonesia</td>\n",
              "      <td>1995</td>\n",
              "      <td>3</td>\n",
              "      <td>Moderate</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1309</th>\n",
              "      <td>M 6.5 - 50 km SE of Sucúa, Ecuador</td>\n",
              "      <td>6.5</td>\n",
              "      <td>3/10/1995 12:44</td>\n",
              "      <td>0.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>green</td>\n",
              "      <td>red</td>\n",
              "      <td>0</td>\n",
              "      <td>650.0</td>\n",
              "      <td>us</td>\n",
              "      <td>...</td>\n",
              "      <td>0.0</td>\n",
              "      <td>mww</td>\n",
              "      <td>16.700</td>\n",
              "      <td>-2.7780</td>\n",
              "      <td>-77.8510</td>\n",
              "      <td>Sucúa, Ecuador</td>\n",
              "      <td>Ecuador</td>\n",
              "      <td>1995</td>\n",
              "      <td>3</td>\n",
              "      <td>Severe</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1310</th>\n",
              "      <td>M 7.0 - 45 km SE of Sucúa, Ecuador</td>\n",
              "      <td>7.0</td>\n",
              "      <td>3/10/1995 1:51</td>\n",
              "      <td>0.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>orange</td>\n",
              "      <td>red</td>\n",
              "      <td>0</td>\n",
              "      <td>754.0</td>\n",
              "      <td>us</td>\n",
              "      <td>...</td>\n",
              "      <td>0.0</td>\n",
              "      <td>mww</td>\n",
              "      <td>24.400</td>\n",
              "      <td>-2.7500</td>\n",
              "      <td>-77.8810</td>\n",
              "      <td>Sucúa, Ecuador</td>\n",
              "      <td>Ecuador</td>\n",
              "      <td>1995</td>\n",
              "      <td>3</td>\n",
              "      <td>Severe</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1311</th>\n",
              "      <td>M 6.7 - 73 km WSW of Vallenar, Chile</td>\n",
              "      <td>6.7</td>\n",
              "      <td>1/11/1995 0:35</td>\n",
              "      <td>0.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>green</td>\n",
              "      <td>red</td>\n",
              "      <td>0</td>\n",
              "      <td>691.0</td>\n",
              "      <td>us</td>\n",
              "      <td>...</td>\n",
              "      <td>0.0</td>\n",
              "      <td>mww</td>\n",
              "      <td>19.900</td>\n",
              "      <td>-28.9060</td>\n",
              "      <td>-71.4170</td>\n",
              "      <td>Vallenar, Chile</td>\n",
              "      <td>Chile</td>\n",
              "      <td>1995</td>\n",
              "      <td>1</td>\n",
              "      <td>Severe</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>1312 rows × 22 columns</p>\n",
              "</div>\n",
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              "\n",
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              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
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              "        const charts = await google.colab.kernel.invokeFunction(\n",
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              "\n",
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              "\n",
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              "            title=\"Generate code using this dataframe.\"\n",
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              "\n",
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              "       width=\"24px\">\n",
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              "  </svg>\n",
              "    </button>\n",
              "    <script>\n",
              "      (() => {\n",
              "      const buttonEl =\n",
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              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      buttonEl.onclick = () => {\n",
              "        google.colab.notebook.generateWithVariable('df');\n",
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              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "df"
            }
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Get unique values of the 'alert' column\n",
        "unique_alerts = df['expected_alert'].unique()\n",
        "\n",
        "# Print the unique values\n",
        "print(\"Unique values in 'expected_alert' column:\", unique_alerts)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "RuYCyemWuA28",
        "outputId": "612b05d0-383a-4e70-ffdc-b8b9d5e9a528"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Unique values in 'expected_alert' column: ['red' 'green' 'yellow' 'orange']\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "alert_counts = df['alert'].value_counts()\n",
        "print(alert_counts)\n",
        "\n",
        "expected_alert_counts = df['expected_alert'].value_counts()\n",
        "print(expected_alert_counts)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "bwW7L3VepeVS",
        "outputId": "912595ab-80a0-4e29-ab46-b821a1093c45"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "alert\n",
            "green     971\n",
            "orange    237\n",
            "yellow     87\n",
            "red        17\n",
            "Name: count, dtype: int64\n",
            "expected_alert\n",
            "red       768\n",
            "green     317\n",
            "orange    172\n",
            "yellow     55\n",
            "Name: count, dtype: int64\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "def compute_gap(row):\n",
        "    if row['alert'] != row['expected_alert']:\n",
        "        return 1  # There is a mismatch (gap) between the actual and expected alerts\n",
        "    else:\n",
        "        return 0  # No gap, the alerts match\n",
        "\n",
        "# Apply the gap computation function to the dataframe\n",
        "df['gap'] = df.apply(compute_gap, axis=1)\n",
        "\n",
        "# Summarize the gap analysis\n",
        "gap_count = df['gap'].sum()  # Count how many rows have a mismatch\n",
        "total_count = len(df)  # Total number of rows in the dataset\n",
        "gap_percentage = (gap_count / total_count) * 100  # Percentage of mismatches\n",
        "\n",
        "# Display the gap analysis result\n",
        "print(f\"Total number of rows: {total_count}\")\n",
        "print(f\"Number of gaps (mismatches between 'alert' and 'expected_alert'): {gap_count}\")\n",
        "print(f\"Percentage of gaps: {gap_percentage:.2f}%\")\n",
        "\n",
        "# Optional: Display rows where there is a gap for further inspection\n",
        "gap_rows = df[df['gap'] == 1][['title', 'magnitude', 'depth', 'cdi','mmi', 'alert', 'expected_alert', 'tsunami', 'gap']]\n",
        "display(gap_rows)  # Displaying the first few rows with gaps\n"
      ],
      "metadata": {
        "id": "puNrlxVsi4cY",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 475
        },
        "outputId": "fa3f3230-9a7a-4d6e-df25-5fb123541b83"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Total number of rows: 1312\n",
            "Number of gaps (mismatches between 'alert' and 'expected_alert'): 844\n",
            "Percentage of gaps: 64.33%\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "                                                  title  magnitude    depth  \\\n",
              "0     M 6.6 - 277 km NNE of Codrington, Antigua and ...        6.6   10.000   \n",
              "1                    M 7.6 - 95 km WNW of Hihifo, Tonga        7.6  210.097   \n",
              "4                                       M 7.0 - Vanuatu        7.0   29.000   \n",
              "7                              M 7.3 - Alaska Peninsula        7.3   21.000   \n",
              "8                 M 7.2 - 98 km S of Sand Point, Alaska        7.2   32.571   \n",
              "...                                                 ...        ...      ...   \n",
              "1306                   M 6.6 - 10 km W of Aianí, Greece        6.6   14.000   \n",
              "1307          M 7.1 - 14 km NE of Cabatuan, Philippines        7.1   16.000   \n",
              "1309                 M 6.5 - 50 km SE of Sucúa, Ecuador        6.5   16.700   \n",
              "1310                 M 7.0 - 45 km SE of Sucúa, Ecuador        7.0   24.400   \n",
              "1311               M 6.7 - 73 km WSW of Vallenar, Chile        6.7   19.900   \n",
              "\n",
              "      cdi  mmi   alert expected_alert  tsunami  gap  \n",
              "0     5.0  4.0   green            red        1    1  \n",
              "1     8.0  6.0   green            red        1    1  \n",
              "4     8.0  7.0   green            red        1    1  \n",
              "7     0.0  5.0   green            red        1    1  \n",
              "8     6.0  6.0   green            red        1    1  \n",
              "...   ...  ...     ...            ...      ...  ...  \n",
              "1306  0.0  9.0   green            red        0    1  \n",
              "1307  0.0  7.0   green            red        0    1  \n",
              "1309  0.0  7.0   green            red        0    1  \n",
              "1310  0.0  7.0  orange            red        0    1  \n",
              "1311  0.0  7.0   green            red        0    1  \n",
              "\n",
              "[844 rows x 9 columns]"
            ],
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>title</th>\n",
              "      <th>magnitude</th>\n",
              "      <th>depth</th>\n",
              "      <th>cdi</th>\n",
              "      <th>mmi</th>\n",
              "      <th>alert</th>\n",
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              "      <th>0</th>\n",
              "      <td>M 6.6 - 277 km NNE of Codrington, Antigua and ...</td>\n",
              "      <td>6.6</td>\n",
              "      <td>10.000</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>green</td>\n",
              "      <td>red</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>M 7.6 - 95 km WNW of Hihifo, Tonga</td>\n",
              "      <td>7.6</td>\n",
              "      <td>210.097</td>\n",
              "      <td>8.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>green</td>\n",
              "      <td>red</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>M 7.0 - Vanuatu</td>\n",
              "      <td>7.0</td>\n",
              "      <td>29.000</td>\n",
              "      <td>8.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>green</td>\n",
              "      <td>red</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>M 7.3 - Alaska Peninsula</td>\n",
              "      <td>7.3</td>\n",
              "      <td>21.000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>green</td>\n",
              "      <td>red</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>8</th>\n",
              "      <td>M 7.2 - 98 km S of Sand Point, Alaska</td>\n",
              "      <td>7.2</td>\n",
              "      <td>32.571</td>\n",
              "      <td>6.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>green</td>\n",
              "      <td>red</td>\n",
              "      <td>1</td>\n",
              "      <td>1</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",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1306</th>\n",
              "      <td>M 6.6 - 10 km W of Aianí, Greece</td>\n",
              "      <td>6.6</td>\n",
              "      <td>14.000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>9.0</td>\n",
              "      <td>green</td>\n",
              "      <td>red</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1307</th>\n",
              "      <td>M 7.1 - 14 km NE of Cabatuan, Philippines</td>\n",
              "      <td>7.1</td>\n",
              "      <td>16.000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>green</td>\n",
              "      <td>red</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1309</th>\n",
              "      <td>M 6.5 - 50 km SE of Sucúa, Ecuador</td>\n",
              "      <td>6.5</td>\n",
              "      <td>16.700</td>\n",
              "      <td>0.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>green</td>\n",
              "      <td>red</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1310</th>\n",
              "      <td>M 7.0 - 45 km SE of Sucúa, Ecuador</td>\n",
              "      <td>7.0</td>\n",
              "      <td>24.400</td>\n",
              "      <td>0.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>orange</td>\n",
              "      <td>red</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1311</th>\n",
              "      <td>M 6.7 - 73 km WSW of Vallenar, Chile</td>\n",
              "      <td>6.7</td>\n",
              "      <td>19.900</td>\n",
              "      <td>0.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>green</td>\n",
              "      <td>red</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>844 rows × 9 columns</p>\n",
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              "    async function quickchart(key) {\n",
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              "summary": "{\n  \"name\": \"gap_rows\",\n  \"rows\": 844,\n  \"fields\": [\n    {\n      \"column\": \"title\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 711,\n        \"samples\": [\n          \"M 7.0 - 153 km SSW of Padang, Indonesia\",\n          \"M 7.4 - 33 km S of Champerico, Guatemala\",\n          \"M 6.9 - 31 km SW of Burias, Philippines\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"magnitude\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 2.4308199141994744,\n        \"min\": 0.0,\n        \"max\": 9.1,\n        \"num_unique_values\": 44,\n        \"samples\": [\n          8.6,\n          7.4,\n          0.615384615\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"depth\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 101.77612095431294,\n        \"min\": 0.001200102,\n        \"max\": 670.81,\n        \"num_unique_values\": 348,\n        \"samples\": [\n          0.060095108,\n          46.0,\n          50.4\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"cdi\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 3.3036704385566407,\n        \"min\": 0.0,\n        \"max\": 9.0,\n        \"num_unique_values\": 18,\n        \"samples\": [\n          5.0,\n          8.0,\n          0.555555556\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"mmi\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 2.3851582687649793,\n        \"min\": 0.142857143,\n        \"max\": 10.0,\n        \"num_unique_values\": 16,\n        \"samples\": [\n          4.0,\n          6.0,\n          8.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"alert\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 4,\n        \"samples\": [\n          \"orange\",\n          \"red\",\n          \"green\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"expected_alert\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 4,\n        \"samples\": [\n          \"green\",\n          \"yellow\",\n          \"red\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"tsunami\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 0,\n        \"max\": 1,\n        \"num_unique_values\": 2,\n        \"samples\": [\n          0,\n          1\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"gap\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 1,\n        \"max\": 1,\n        \"num_unique_values\": 1,\n        \"samples\": [\n          1\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Strategies for optimized alerts"
      ],
      "metadata": {
        "id": "ESDKx07B1t4t"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Identify Sources of Gaps:\n",
        "Analyzing the rows where mismatches occurred between alert and expected_alert. Focusing on the following aspects:\n",
        "\n",
        "* Magnitude Ranges: Are mismatches higher for certain ranges of magnitudes?\n",
        "* Community Determined Intensity (CDI): Are certain intensity values causing more mismatches?\n",
        "* Depth: Is there a correlation between the depth of the earthquake and the mismatches?\n",
        "* Tsunami Indicator: Are mismatches more frequent when a tsunami is indicated?"
      ],
      "metadata": {
        "id": "Zw1PsgVQ14_r"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Analyze mismatches based on key features\n",
        "mismatch_analysis = df[df['gap'] == 1].groupby('expected_alert').agg({\n",
        "    'magnitude': ['mean', 'max', 'min'],\n",
        "    'depth': ['mean', 'max', 'min'],\n",
        "    'cdi': ['mean', 'max', 'min'],\n",
        "    'tsunami': 'sum'\n",
        "}).reset_index()\n",
        "\n",
        "display(mismatch_analysis)"
      ],
      "metadata": {
        "id": "fI83FFjhmMxc",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "outputId": "f0c8d624-0cfc-4684-98dc-2fc615c04a2c"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "  expected_alert magnitude                depth                        cdi  \\\n",
              "                      mean  max  min       mean     max      min      mean   \n",
              "0          green  1.345726  7.5  0.0  26.360501  231.00   0.0057  1.814815   \n",
              "1         orange  7.211818  9.1  6.5  35.978242   49.00  30.0000  2.545455   \n",
              "2            red  5.951750  9.1  0.0  45.070139  670.81   0.0012  3.678471   \n",
              "3         yellow  6.892500  8.0  6.5  65.322450   96.00  50.0000  2.525000   \n",
              "\n",
              "                 tsunami  \n",
              "   max       min     sum  \n",
              "0  8.0  0.333333       0  \n",
              "1  9.0  0.000000       0  \n",
              "2  9.0  0.000000     428  \n",
              "3  8.0  0.000000       0  "
            ],
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            }
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Strategies for Deriving Alert Conditions"
      ],
      "metadata": {
        "id": "dljSk9GcnyhH"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "* **Multiparameter Integration:**\n",
        "\n",
        "The integration of several factors, including as magnitude, depth, and intensity, allows for a thorough assessment of an earthquake's potential impact. This multi-parameter technique improves the accuracy and reliability of issued alarm levels.\n",
        "\n",
        "* **Threshold Based Classification:**\n",
        "\n",
        "The development of specific thresholds for each considered parameter makes it easier to classify alert levels systemically. Examples of such thresholds include a magnitude more than or equal to 6.5, a depth of fewer than 30 kilometers, and a Modified Mercalli Intensity (MMI) of VII or greater. These criteria are often determined using historical data and empirical investigations that link these parameters to observable damage patterns.\n",
        "\n",
        "* **Use of Intensity Scales:**\n",
        "\n",
        "The use of intensity scales, such as the MMI, allows for the conversion of quantitative seismic data into qualitative judgments of possible damage. This translation leads to the creation of more easily understandable alarm levels. The MMI scale, which goes from I (not felt) to XII (complete damage), provides a standardized way to quantify the impact of an earthquake.\n",
        "\n",
        "\n",
        "\n"
      ],
      "metadata": {
        "id": "iNVS5AYupP8K"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Condition Derived:\n",
        "\n",
        "* Red Alert: Tsunami present (tsunami = 1) OR (Magnitude ≥ 6.5 AND Depth < 30 km AND Impact ≥ 7.5).\n",
        "* Orange Alert: Magnitude ≥ 5.5 AND Depth between 20-50 km AND Impact between 6-7.5.\n",
        "* Yellow Alert: Magnitude ≥ 4.0 AND Depth between 50-100 km AND Impact between 4-6.\n",
        "* Green Alert: All other cases."
      ],
      "metadata": {
        "id": "NjD2POMup6aX"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "def refined_alert(row):\n",
        "    if row['tsunami'] == 1:\n",
        "        return \"red\"\n",
        "    elif (row['magnitude'] >= 6.5 and row['depth'] < 30) and (row['cdi'] >= 7.5 or row['mmi'] >= 7.5):\n",
        "        return \"red\"\n",
        "    elif (row['magnitude'] >= 5.5 and 20 <= row['depth'] < 50) and (6 <= row['cdi'] < 7.5 or 6 <= row['mmi'] < 7.5):\n",
        "        return \"orange\"\n",
        "    elif (row['magnitude'] >= 4.0 and 50 <= row['depth'] < 100) and (4 <= row['cdi'] < 6 or 3 <= row['mmi'] < 6):\n",
        "        return \"yellow\"\n",
        "    else:\n",
        "        return \"green\""
      ],
      "metadata": {
        "id": "eG-veTqzUgaI"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Apply refined alert logic\n",
        "df['refined_alert'] = df.apply(refined_alert, axis=1)\n"
      ],
      "metadata": {
        "id": "OpTEMF87ZjlJ"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "def compute_gap(row):\n",
        "    if row['alert'] != row['refined_alert']:\n",
        "        return 1  # There is a mismatch (gap) between the actual and expected alerts\n",
        "    else:\n",
        "        return 0  # No gap, the alerts match\n",
        "\n",
        "# Apply the gap computation function to the dataframe\n",
        "df['gap'] = df.apply(compute_gap, axis=1)\n",
        "\n",
        "# Summarize the gap analysis\n",
        "gap_count = df['gap'].sum()  # Count how many rows have a mismatch\n",
        "total_count = len(df)  # Total number of rows in the dataset\n",
        "gap_percentage = (gap_count / total_count) * 100  # Percentage of mismatches\n",
        "\n",
        "# Display the gap analysis result\n",
        "print(f\"Total number of rows: {total_count}\")\n",
        "print(f\"Number of gaps (mismatches between 'alert' and 'expected_alert'): {gap_count}\")\n",
        "print(f\"Percentage of gaps: {gap_percentage:.2f}%\")\n",
        "\n",
        "# Optional: Display rows where there is a gap for further inspection\n",
        "gap_rows = df[df['gap'] == 1][['title', 'magnitude', 'depth', 'cdi','mmi', 'alert', 'expected_alert', 'tsunami', 'gap']]\n",
        "display(gap_rows)  # Displaying the first few rows with gaps\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 475
        },
        "id": "bhVaU6EEympv",
        "outputId": "075a683e-99ad-40fd-9abc-426b1e885e36"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Total number of rows: 1312\n",
            "Number of gaps (mismatches between 'alert' and 'expected_alert'): 562\n",
            "Percentage of gaps: 42.84%\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "                                                  title  magnitude    depth  \\\n",
              "0     M 6.6 - 277 km NNE of Codrington, Antigua and ...        6.6   10.000   \n",
              "1                    M 7.6 - 95 km WNW of Hihifo, Tonga        7.6  210.097   \n",
              "4                                       M 7.0 - Vanuatu        7.0   29.000   \n",
              "5              M 6.5 - 43 km S of Intipucá, El Salvador        6.5   69.727   \n",
              "7                              M 7.3 - Alaska Peninsula        7.3   21.000   \n",
              "...                                                 ...        ...      ...   \n",
              "1282                M 7.9 - 181 km N of Palu, Indonesia        7.9   24.000   \n",
              "1285              M 7.2 - 27 km SSE of Nuwaybi‘a, Egypt        7.2   10.000   \n",
              "1286                M 6.8 - 158 km W of Jinghong, China        6.8   12.500   \n",
              "1303                  M 7.1 - 85 km S of Tungor, Russia        7.1   11.000   \n",
              "1306                   M 6.6 - 10 km W of Aianí, Greece        6.6   14.000   \n",
              "\n",
              "      cdi  mmi   alert expected_alert  tsunami  gap  \n",
              "0     5.0  4.0   green            red        1    1  \n",
              "1     8.0  6.0   green            red        1    1  \n",
              "4     8.0  7.0   green            red        1    1  \n",
              "5     8.0  6.0  yellow         yellow        0    1  \n",
              "7     0.0  5.0   green            red        1    1  \n",
              "...   ...  ...     ...            ...      ...  ...  \n",
              "1282  0.0  8.0   green            red        0    1  \n",
              "1285  0.0  9.0   green            red        0    1  \n",
              "1286  0.0  8.0   green            red        0    1  \n",
              "1303  0.0  9.0   green            red        0    1  \n",
              "1306  0.0  9.0   green            red        0    1  \n",
              "\n",
              "[562 rows x 9 columns]"
            ],
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              "      <th></th>\n",
              "      <th>title</th>\n",
              "      <th>magnitude</th>\n",
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              "      <th>0</th>\n",
              "      <td>M 6.6 - 277 km NNE of Codrington, Antigua and ...</td>\n",
              "      <td>6.6</td>\n",
              "      <td>10.000</td>\n",
              "      <td>5.0</td>\n",
              "      <td>4.0</td>\n",
              "      <td>green</td>\n",
              "      <td>red</td>\n",
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              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>M 7.6 - 95 km WNW of Hihifo, Tonga</td>\n",
              "      <td>7.6</td>\n",
              "      <td>210.097</td>\n",
              "      <td>8.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>green</td>\n",
              "      <td>red</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>M 7.0 - Vanuatu</td>\n",
              "      <td>7.0</td>\n",
              "      <td>29.000</td>\n",
              "      <td>8.0</td>\n",
              "      <td>7.0</td>\n",
              "      <td>green</td>\n",
              "      <td>red</td>\n",
              "      <td>1</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>5</th>\n",
              "      <td>M 6.5 - 43 km S of Intipucá, El Salvador</td>\n",
              "      <td>6.5</td>\n",
              "      <td>69.727</td>\n",
              "      <td>8.0</td>\n",
              "      <td>6.0</td>\n",
              "      <td>yellow</td>\n",
              "      <td>yellow</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>7</th>\n",
              "      <td>M 7.3 - Alaska Peninsula</td>\n",
              "      <td>7.3</td>\n",
              "      <td>21.000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>5.0</td>\n",
              "      <td>green</td>\n",
              "      <td>red</td>\n",
              "      <td>1</td>\n",
              "      <td>1</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",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1282</th>\n",
              "      <td>M 7.9 - 181 km N of Palu, Indonesia</td>\n",
              "      <td>7.9</td>\n",
              "      <td>24.000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>green</td>\n",
              "      <td>red</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1285</th>\n",
              "      <td>M 7.2 - 27 km SSE of Nuwaybi‘a, Egypt</td>\n",
              "      <td>7.2</td>\n",
              "      <td>10.000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>9.0</td>\n",
              "      <td>green</td>\n",
              "      <td>red</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1286</th>\n",
              "      <td>M 6.8 - 158 km W of Jinghong, China</td>\n",
              "      <td>6.8</td>\n",
              "      <td>12.500</td>\n",
              "      <td>0.0</td>\n",
              "      <td>8.0</td>\n",
              "      <td>green</td>\n",
              "      <td>red</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1303</th>\n",
              "      <td>M 7.1 - 85 km S of Tungor, Russia</td>\n",
              "      <td>7.1</td>\n",
              "      <td>11.000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>9.0</td>\n",
              "      <td>green</td>\n",
              "      <td>red</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1306</th>\n",
              "      <td>M 6.6 - 10 km W of Aianí, Greece</td>\n",
              "      <td>6.6</td>\n",
              "      <td>14.000</td>\n",
              "      <td>0.0</td>\n",
              "      <td>9.0</td>\n",
              "      <td>green</td>\n",
              "      <td>red</td>\n",
              "      <td>0</td>\n",
              "      <td>1</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>562 rows × 9 columns</p>\n",
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              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
              "        const docLink = document.createElement('div');\n",
              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
              "      }\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "\n",
              "<div id=\"df-861124b6-edb4-4cc5-8d96-5e0191f5343e\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-861124b6-edb4-4cc5-8d96-5e0191f5343e')\"\n",
              "            title=\"Suggest charts\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "<svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "     width=\"24px\">\n",
              "    <g>\n",
              "        <path d=\"M19 3H5c-1.1 0-2 .9-2 2v14c0 1.1.9 2 2 2h14c1.1 0 2-.9 2-2V5c0-1.1-.9-2-2-2zM9 17H7v-7h2v7zm4 0h-2V7h2v10zm4 0h-2v-4h2v4z\"/>\n",
              "    </g>\n",
              "</svg>\n",
              "  </button>\n",
              "\n",
              "<style>\n",
              "  .colab-df-quickchart {\n",
              "      --bg-color: #E8F0FE;\n",
              "      --fill-color: #1967D2;\n",
              "      --hover-bg-color: #E2EBFA;\n",
              "      --hover-fill-color: #174EA6;\n",
              "      --disabled-fill-color: #AAA;\n",
              "      --disabled-bg-color: #DDD;\n",
              "  }\n",
              "\n",
              "  [theme=dark] .colab-df-quickchart {\n",
              "      --bg-color: #3B4455;\n",
              "      --fill-color: #D2E3FC;\n",
              "      --hover-bg-color: #434B5C;\n",
              "      --hover-fill-color: #FFFFFF;\n",
              "      --disabled-bg-color: #3B4455;\n",
              "      --disabled-fill-color: #666;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart {\n",
              "    background-color: var(--bg-color);\n",
              "    border: none;\n",
              "    border-radius: 50%;\n",
              "    cursor: pointer;\n",
              "    display: none;\n",
              "    fill: var(--fill-color);\n",
              "    height: 32px;\n",
              "    padding: 0;\n",
              "    width: 32px;\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart:hover {\n",
              "    background-color: var(--hover-bg-color);\n",
              "    box-shadow: 0 1px 2px rgba(60, 64, 67, 0.3), 0 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "    fill: var(--button-hover-fill-color);\n",
              "  }\n",
              "\n",
              "  .colab-df-quickchart-complete:disabled,\n",
              "  .colab-df-quickchart-complete:disabled:hover {\n",
              "    background-color: var(--disabled-bg-color);\n",
              "    fill: var(--disabled-fill-color);\n",
              "    box-shadow: none;\n",
              "  }\n",
              "\n",
              "  .colab-df-spinner {\n",
              "    border: 2px solid var(--fill-color);\n",
              "    border-color: transparent;\n",
              "    border-bottom-color: var(--fill-color);\n",
              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
              "  }\n",
              "\n",
              "  @keyframes spin {\n",
              "    0% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "      border-left-color: var(--fill-color);\n",
              "    }\n",
              "    20% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    30% {\n",
              "      border-color: transparent;\n",
              "      border-left-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    40% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-top-color: var(--fill-color);\n",
              "    }\n",
              "    60% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "    }\n",
              "    80% {\n",
              "      border-color: transparent;\n",
              "      border-right-color: var(--fill-color);\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "    90% {\n",
              "      border-color: transparent;\n",
              "      border-bottom-color: var(--fill-color);\n",
              "    }\n",
              "  }\n",
              "</style>\n",
              "\n",
              "  <script>\n",
              "    async function quickchart(key) {\n",
              "      const quickchartButtonEl =\n",
              "        document.querySelector('#' + key + ' button');\n",
              "      quickchartButtonEl.disabled = true;  // To prevent multiple clicks.\n",
              "      quickchartButtonEl.classList.add('colab-df-spinner');\n",
              "      try {\n",
              "        const charts = await google.colab.kernel.invokeFunction(\n",
              "            'suggestCharts', [key], {});\n",
              "      } catch (error) {\n",
              "        console.error('Error during call to suggestCharts:', error);\n",
              "      }\n",
              "      quickchartButtonEl.classList.remove('colab-df-spinner');\n",
              "      quickchartButtonEl.classList.add('colab-df-quickchart-complete');\n",
              "    }\n",
              "    (() => {\n",
              "      let quickchartButtonEl =\n",
              "        document.querySelector('#df-861124b6-edb4-4cc5-8d96-5e0191f5343e button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "  <div id=\"id_176e8ba8-a743-4c2a-aa4a-86368fb54cb8\">\n",
              "    <style>\n",
              "      .colab-df-generate {\n",
              "        background-color: #E8F0FE;\n",
              "        border: none;\n",
              "        border-radius: 50%;\n",
              "        cursor: pointer;\n",
              "        display: none;\n",
              "        fill: #1967D2;\n",
              "        height: 32px;\n",
              "        padding: 0 0 0 0;\n",
              "        width: 32px;\n",
              "      }\n",
              "\n",
              "      .colab-df-generate:hover {\n",
              "        background-color: #E2EBFA;\n",
              "        box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
              "        fill: #174EA6;\n",
              "      }\n",
              "\n",
              "      [theme=dark] .colab-df-generate {\n",
              "        background-color: #3B4455;\n",
              "        fill: #D2E3FC;\n",
              "      }\n",
              "\n",
              "      [theme=dark] .colab-df-generate:hover {\n",
              "        background-color: #434B5C;\n",
              "        box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "        filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "        fill: #FFFFFF;\n",
              "      }\n",
              "    </style>\n",
              "    <button class=\"colab-df-generate\" onclick=\"generateWithVariable('gap_rows')\"\n",
              "            title=\"Generate code using this dataframe.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
              "       width=\"24px\">\n",
              "    <path d=\"M7,19H8.4L18.45,9,17,7.55,7,17.6ZM5,21V16.75L18.45,3.32a2,2,0,0,1,2.83,0l1.4,1.43a1.91,1.91,0,0,1,.58,1.4,1.91,1.91,0,0,1-.58,1.4L9.25,21ZM18.45,9,17,7.55Zm-12,3A5.31,5.31,0,0,0,4.9,8.1,5.31,5.31,0,0,0,1,6.5,5.31,5.31,0,0,0,4.9,4.9,5.31,5.31,0,0,0,6.5,1,5.31,5.31,0,0,0,8.1,4.9,5.31,5.31,0,0,0,12,6.5,5.46,5.46,0,0,0,6.5,12Z\"/>\n",
              "  </svg>\n",
              "    </button>\n",
              "    <script>\n",
              "      (() => {\n",
              "      const buttonEl =\n",
              "        document.querySelector('#id_176e8ba8-a743-4c2a-aa4a-86368fb54cb8 button.colab-df-generate');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      buttonEl.onclick = () => {\n",
              "        google.colab.notebook.generateWithVariable('gap_rows');\n",
              "      }\n",
              "      })();\n",
              "    </script>\n",
              "  </div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "gap_rows",
              "summary": "{\n  \"name\": \"gap_rows\",\n  \"rows\": 562,\n  \"fields\": [\n    {\n      \"column\": \"title\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 431,\n        \"samples\": [\n          \"M 7.0 - 26 km WSW of Car\\u00fapano, Venezuela\",\n          \"M 6.9 - 125 km SE of Perryville, Alaska\",\n          \"M 6.6 - 76 km NE of Finschhafen, Papua New Guinea\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"magnitude\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 2.8417085979926995,\n        \"min\": 0.0,\n        \"max\": 9.1,\n        \"num_unique_values\": 42,\n        \"samples\": [\n          0.615384615,\n          0.192307692,\n          7.1\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"depth\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 122.86820399874811,\n        \"min\": 0.001200102,\n        \"max\": 670.81,\n        \"num_unique_values\": 287,\n        \"samples\": [\n          18.027,\n          0.176715021,\n          21.43\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"cdi\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 3.3892685808737673,\n        \"min\": 0.0,\n        \"max\": 9.0,\n        \"num_unique_values\": 18,\n        \"samples\": [\n          5.0,\n          8.0,\n          0.555555556\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"mmi\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 2.731675400700071,\n        \"min\": 0.142857143,\n        \"max\": 10.0,\n        \"num_unique_values\": 16,\n        \"samples\": [\n          4.0,\n          6.0,\n          8.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"alert\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 4,\n        \"samples\": [\n          \"yellow\",\n          \"red\",\n          \"green\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"expected_alert\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 4,\n        \"samples\": [\n          \"yellow\",\n          \"orange\",\n          \"red\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"tsunami\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 0,\n        \"max\": 1,\n        \"num_unique_values\": 2,\n        \"samples\": [\n          0,\n          1\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"gap\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0,\n        \"min\": 1,\n        \"max\": 1,\n        \"num_unique_values\": 1,\n        \"samples\": [\n          1\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Visualization: Actual vs Refined Alerts\n",
        "def plot_alert_distributions(df):\n",
        "    actual_counts = df['alert'].value_counts()\n",
        "    refined_counts = df['refined_alert'].value_counts()\n",
        "\n",
        "    # DataFrame for comparison\n",
        "    comparison_df = pd.DataFrame({\n",
        "        'Actual Alerts': actual_counts,\n",
        "        'Refined Alerts': refined_counts\n",
        "    }).fillna(0)\n",
        "\n",
        "    comparison_df.plot(kind='bar', figsize=(10, 6))\n",
        "    plt.title('Comparison of Actual vs Refined Alerts')\n",
        "    plt.xlabel('Alert Levels')\n",
        "    plt.ylabel('Count')\n",
        "    plt.xticks(rotation=0)\n",
        "    plt.legend(loc=\"upper right\")\n",
        "    plt.tight_layout()\n",
        "    plt.show()\n",
        "\n",
        "plot_alert_distributions(df)\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 601
        },
        "id": "IAmE_c5Fal0f",
        "outputId": "469db80d-4279-47c7-d003-5dd4f207ee38"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x600 with 1 Axes>"
            ],
            "image/png": 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p4/fV8ePHdeDAATVq1Oim+0i/sdrJkydVvHjxDB+43ex7/FZWr16tmjVr6tKlS7p06ZIkqVq1akpOTlZUVJQeeeSRW26b2TrTZeVu9eXLl9fjjz+uJUuWKDIyUvXq1VOrVq3UpUsXpocDyHMI2ADgpAoVKqQSJUro0KFDWdous6OWt7rr8a2WG/+6eVlm/Pzzz3ryySdVv359TZs2TcWLF5ebm5tWrFihNWvWZGh/42j37YSGhqpevXr66quvtH37di1atEgREREKCwtT8+bNs1xnXrsDdFRUlJKSkrR48WItXrw4w/rIyEiNGjUqR2v49w3e3nvvPc2dO1f/+c9/NHr0aPn4+MjFxUUzZ87M1veGdP3r+N577+nChQsqVKiQNm/erI4dOypfvnx2be7ma12zZk3b6H6bNm3Ut29fjRs3TlFRUSpYsKDtBl2DBg1S06ZNb7qPf39olVmZ+b5KS0tTkyZNNGTIkJuur1ixYraO/W/Hjh3Tvn37JMluBDtdZGTkbQN2VuvM7LmcbuLEierWrZs2bdqk7du3a8aMGVqwYIE+++yzDB/6AYAjEbABwIm1bNlSy5cv1+7du+2mc99M2bJllZaWpuPHj9vdwOrcuXOKi4u75Q3DsistLU0xMTF2I2hHjx611SJJGzZsUP78+bVo0SK7UcMVK1bc9fFLlCihfv36qV+/fjp//ry6deum9957T82bN7dNcT969GiGEbejR4/aTYG/G+n7iY6OthtRTUpK0okTJ7L9+KPIyEj5+/vrqaeeyrBu+fLlWrNmjUaNGiVfX18VKlTojh/C3O5DFx8fnwyzE5KSknT27Fm7ZRs2bFBwcLBmzpxptzwuLk5FihS5U5duKjQ0VOHh4dq4caOKFSumy5cvq2PHjhna3e5rnRWurq4aO3asBgwYoI8++khPPPGE7evm5uaWa8+DvlGFChV09erVOx67bNmy+uGHH3TlyhW7Uez0c+5OIiMj5ebmptdff93ucgZJ+uWXX/Thhx/q77//vuW5kdk6b+dOH/6l31l8xIgR2rVrl/r06aNPPvlEzzzzTLaPCQBm4xpsAHBiQ4YMkaenp6ZMmaJz585lWP/XX3/pgw8+kCRb2Eh/nW7JkiV268300Ucf2f5tGIY++ugjubm52UKtq6urLBaL3WjoiRMn7B5/lFWpqakZHt1TtGhRlShRwjYFvUaNGipatKg+/fRTu2np3377rY4cOZLh7uXZ1bhxY7m5uenDDz+0G8X94osvFB8fn633/J9//tFPP/2k9u3b3/RP9+7ddfz4cf36669ycXFRmzZttGXLFtvo5I3Sa/Lw8JCkmz7yqHz58vr555/tln322WcZRrBdXV0zjFSvX78+29cnS9fvZO7v769169Zp3bp1Kl68uOrXr29bn5mvdValPy7ugw8+UGJioooWLaoGDRpo+fLlOnPmTIb2/576bLYOHTpo9+7dtkfS3SguLk4pKSmSrj/POyUlRZ988oltfWpqqpYtW5ap40RGRqpu3boKDQ3N8D2VPip9s1klWa3zdtK/D//9gc7ly5czbO/v7y8XF5dsf50BIKcwgg0ATqxChQp688039cwzzyg0NFQPP/yw/P39lZSUpN27dysqKkrdu3eXdP2a1m7dumn58uWKi4tT/fr1tW/fPq1atUpt2rSxu67VDPnz59e2bds0YcIE1axZU9u2bdM333yj4cOH265nbt68uZYsWaIhQ4aoU6dOOn/+vD7++GNVqFBBBw4cyNZxr1y5oubNm6tdu3aqWrWqPD099f3332vfvn225za7ublp/PjxmjRpkh599FF17NjR9piusmXL6rHHHjPlPfD19dWwYcMUHh6uIUOGqFWrVjp69Kg+/vhjBQYGqkuXLlneZ2RkpAzDUOvWrW+6vnnz5sqXL58iIyNVq1YtjR07Vtu3b1f//v3Vq1cvVa5cWWfPnlVUVJQ+/vhjeXt7q1q1anJ1dVVERITi4+Pl7u6uhg0bqmjRourZs6emTZumkSNHqnHjxvrzzz/13XffZRiVbtGihebPn69JkyYpKChIBw8eVGRkZKavhb6V0NBQzZs3T/nz51ePHj3sRlcz87XOjsGDB2v06NFauXKl+vTpo2nTpqlv377q3LmzevXqpfLly+vcuXPas2ePTp06pdWrV99VH+9Uy+bNmzV8+HB169ZNAQEBSkhI0MGDB7VhwwZt2rRJvr6+atWqlerUqaO33npLJ0+eVJUqVbRx48ZMPSf6119/1fHjx+1uSnijkiVLqnr16oqMjNQTTzxxV3XeToUKFeTt7a1PP/1UBQsWlKenp2rWrKkDBw7opZdeUvv27VWxYkWlpqbqf//7n1xdXdWuXbs7v4kAkIsI2ADg5Fq3bq3Vq1dr0aJF2rRpkz755BO5u7vLarVq4sSJ6tWrl63tjBkzVK5cOa1atUpff/21ihUrpmHDhunpp582vS5XV1e9//77evHFF/XGG2+oYMGCevrpp+2mNTdq1EivvPKKIiIiNHPmTJUrV07jx4/XyZMnsx2wCxQooD59+mj79u3auHGjDMNQhQoVbCEpXffu3VWgQAFFRETozTfflKenp9q0aaNnn33W7hnId2vkyJHy9fXVsmXLNGvWLPn4+KhXr14aO3as3Nzcsry/yMhIlSlTRlWrVr3pem9vb9WpU0fr1q3TxIkTVbJkSX322WeaO3euIiMjdfnyZZUsWVLNmjWzXQdbvHhxTZ8+XQsWLNDkyZOVmpqqpUuXqmjRourVq5dOnDihL774Qtu2bVPdunW1ZMmSDB9CDB8+XAkJCYqMjNS6detUvXp1LViwQG+99VaW+3ij0NBQzZkzRwkJCRmexZzZr3VWPfTQQ6pQoYIWL16sXr16qUqVKlqxYoXCw8O1atUqXbp0Sb6+vqpevfpNp+mbycPDQx9++KEWLFigqKgoffnllypUqJAqVqyokSNH2m7y5eLionfffVczZ87U6tWrZbFY1KpVK02cOFFdu3a97THS7zzfqlWrW7Zp1aqVwsLC9Oeff970ey+zdd6Om5ubXn31Vb399tt68cUXlZKSolmzZql+/foKCQnRli1bdPr0aXl4eMhqtSoiIkK1a9e+434BIDdZjOzeeQQAgFuYOHGiNmzYoN27dzu6FAAAgFzDNdgAAAAAAJiAgA0AAAAAgAkI2AAAAAAAmIBrsAEAAAAAMAEj2AAAAAAAmICADQAAAACACXgOtsl2794twzCy9WxTAAAAAEDekpycLIvFoqCgoDu2ZQTbZIZhiMvanZNhGEpKSuLrB+Qyzj0g93HeAbmP8855ZSXjMYJtsvSR68DAQAdXgqy6evWq9u/frypVqsjT09PR5QD3Dc49IPdx3gG5j/POee3bty/TbRnBBgAAAADABARsAAAAAABMkKcC9vHjxzV16lQ9/PDDql69ujp16nTTdp9//rnatWunwMBAdenSRVu2bMnQJj4+Xs8//7waNGigoKAgjRo1SmfOnMnQbteuXXrkkUdUs2ZNtWzZUgsXLuS6CAAAAABAluWpgH3o0CF9++23euCBB1S5cuWbtlm7dq1eeOEFdejQQREREapdu7aefvpp7dmzx67dmDFjtH37dr344ot68803dfToUQ0dOlQpKSm2NsePH9fgwYNVvHhxLViwQAMHDtS8efO0ePHinOwmAAAAAOAelKductaqVSu1adNGkjRx4kT99ttvGdrMmzdPHTt21JgxYyRJDRs21MGDBzV//nxFRERIuv6orO+++06LFi1SSEiIJMnPz0+hoaHauHGjQkNDJUmLFi1SkSJF9Pbbb8vd3V2NGjXShQsX9N5776l///5yd3fPhV4DAAAAAO4FeSpgu7jcfkA9JiZGx44d07PPPmu3PDQ0VK+//rqSkpLk7u6urVu3ytvbW02aNLG1qVSpkqpVq6atW7faAvbWrVvVtm1buyAdGhqqBQsWaPfu3QoODjaxdwAAAABuJTU1VcnJyY4uI8ckJiba/r5T7kHucXNzk6urq2n7y1MB+06io6MlXR+NvlHlypWVnJysmJgYVa5cWdHR0fLz85PFYrFrV6lSJds+rl69qn/++UeVKlXK0MZisSg6OpqADQAAAOQwwzB06tQpXbp0ydGl5Ki0tDTly5dPf//9NwE7jylcuLBKlSqVIT9mh1MF7NjYWEmSt7e33fL01+nr4+Li5OXllWF7Hx8f27Tz+Pj4m+7L3d1dHh4etn1lh2EYunr1ara3h2MkJCTY/Q0gd3DuAbmP8w55yblz53T58mUVL15cHh4epoScvMgwDNuM23u1j87GMAwlJCTo7NmzSk5OVrFixW7ZLrNfM6cK2M4iOTlZ+/fvd3QZyKZjx445ugTgvsS5B+Q+zjvkBS4uLipZsqQ8PT0dXUqOslgsyp8/v6PLwA0sFos8PT1VuHBhnT59WmfPnr1l28zen8upAraPj4+k66PPxYsXty2Pi4uzW+/t7a1Tp05l2D42NtbWJn2EO30kO11SUpISEhJs7bLDzc1NVapUyfb2cIyEhAQdO3ZMFStWlIeHh6PLAe4bnHtA7uO8Q16RmJiov//+W97e3ipQoICjy8lRhmEoMTFR+fPnZwQ7jzEMQxcvXlSZMmVu+iHI4cOHM70vpwrY6ddLR0dH2107HR0dLTc3N5UvX97WbseOHRmG8o8ePSp/f39Jkqenp0qXLm27JvvGNoZhZLg2OyvSPwmBc/Lw8ODrBzgA5x6Q+zjv4GguLi5ycXFRvnz5TL3RVF6Umpoq6XpWuNf76mzy5csnFxcXeXh43PSDnqx8IOJUV9eXL19eFStWVFRUlN3ydevWqVGjRrZh+2bNmik2NlY7duywtTl69Kj++OMPNWvWzLasWbNm2rRpk93dCtetWydvb28FBQXlcG8AAAAAAPeSPBWwExISFBUVpaioKJ08eVKXL1+2vb5w4YIkaeTIkVqzZo3mzZunnTt3atq0adq7d69GjBhh209QUJBCQkL0/PPPa/369dq8ebNGjRolq9Wqhx56yNZu8ODBunDhgsaNG6cdO3bogw8+0KJFizR8+HCegQ0AAAAgW7p06SKr1aqff/45W9uHhYVp165dJldlz2q1atGiRZlqe+HCBQUEBCgoKEjXrl3LsD4sLMzUAcr9+/crLCzMKW/EmKemiJ8/f16jR4+2W5b+eunSpQoODlanTp2UkJCgiIgILVy4UH5+fgoPD8/wBZ0zZ45mzZqlqVOnKiUlRSEhIZoyZYry5fu/Lj/wwANatGiRXn31VT3xxBPy9fXVqFGjNGjQoJzvLAAAAIBbSjMMuTjoWuW7OfahQ4d04MABSVJkZKTq1auX5X2Eh4fL09NTderUyVYNZlu3bp1SUlKUkpKizZs3KzQ0NEePt3//foWHh6tfv35Od5+IPBWwy5UrZ/tmvJ2ePXuqZ8+et23j5eWlmTNnaubMmbdtV6dOHX322WdZqhMAAABAznKxWLTtyDXFJhi5elwfD4uaVs7+DdciIyPl4uKi+vXrKyoqSlOmTJGbm5uJFea+NWvWqHLlyrp8+bJWr16dYwE7NTVVaWlpObLv3JKnpogDAAAAQLrYBEMXrqbl6p+7CfSGYWjNmjVq2LChHn/8cV26dEnbtm3L0O7IkSN6+umn1aBBA9WqVUtdunTRmjVrJF2fui1Jr7/+uqxWq6xWq3bu3KkTJ07IarVmuB/VK6+8olatWtlenzlzRpMmTVLr1q1Vs2ZNPfTQQ3r77beVlJSUrT7FxMRo9+7d6ty5szp27KjvvvtOly5duuN2cXFxevHFFxUSEqIaNWqoe/fu+u677+za9O/fX8OGDdOqVavUrl07BQYGaunSpZo0aZIkqVGjRrJarbb+xcXFacqUKWratKkCAwPVvHlzPfPMM9nqV07JUyPYAAAAAOCsdu3apZMnT+qpp55SSEiIChcurDVr1tgF4GPHjumRRx5R6dKlNXnyZBUvXlwHDx7U33//LUlavny5HnnkEfXv31+dOnWSJFWpUiVToVaSLl68qMKFC2vSpEny9vbWsWPHFBYWprNnz2rWrFlZ7lN68O/UqZPi4uK0ePFiRUVFqXfv3rfcJikpSY8//rjOnz+vMWPGqGTJklq9erWGDRumlStX2j5EkKTffvtNJ0+e1OjRo+Xt7a2qVasqPj5e7777rt5//315eXnZ7o81a9Ysbdu2TePGjVPZsmV19uxZbd26Nct9ykkEbAAAAAAwwZo1a5Q/f3499NBDcnNzU7t27bR69WpduXLF9vin+fPny83NTZ988okKFSokSWrcuLFtH7Vr15YklS5d2vZvSZkO2FarVRMmTLC9rlOnjjw8PDRx4kRNnTo1y9c0r127VrVr17Z7JHJkZORtA3ZkZKT+/PNP/e9//1OVKlUkSU2bNtXx48f1zjvvaO7cuba2sbGx+uKLL1S6dGnbsgoVKkiSAgIC5Ovra1u+b98+derUSd26dbMt69ixY5b6k9OYIg4AAAAAdyklJUVRUVFq3ry5vLy8JEmdO3dWQkKCvvrqK1u7H374Qe3atbOFa7MZhqH//ve/Cg0NVc2aNRUQEKDx48crJSVFMTExWdrXn3/+qUOHDtlG0qXrgfaXX36xjbjfzPbt2+Xv76+KFSvabo6WkpKixo0ba9++fXZt/f397cL17VSvXl2rVq3SokWLdPDgwSz1JbcQsAEAAADgLm3fvl0XLlxQy5YtFRcXp7i4OPn7+6t48eK2adbS9RHbEiVK5FgdH3zwgV577TW1bt1a77zzjj7//HNNnTpVkpSYmJilfa1evVouLi4KCQmx9al58+a2a81v5eLFi/rjjz8UEBBg9+fdd9/VqVOn7NoWK1Ys0/W88MIL6tKli5YsWaLOnTurRYsW+vjjj7PUp5zGFHEAAAAAuEuRkZGSpEmTJtlu0pXu4sWLOn/+vAoWLCgfHx+dOXMmy/vPnz+/JCk5OdlueVxcnN3rqKgotWrVSuPGjbMtO3LkSJaPZxiG1q1bp7S0NLVv3z7D+sjISD3xxBM33dbHx0dWq1WvvPLKHY9jycLj0Ly8vDR58mRNnjxZBw4c0NKlSzV9+nT5+/tn63FoOYGADfx/FovF6R+hAAAAgNyXkJCgTZs2qU2bNhowYIDdunPnzmns2LFav369evTooUaNGmnDhg0aP378LaeJu7m5ZRhtLlq0qNzc3OzCclJSkn766Se7dteuXcvwf9r08J8VP//8s/755x+NHDlS9evXt1u3bds2RURE6MCBA3Y3LEvXuHFjffvttypRooRKliyZ5WOn13+7O59brVZNmjRJX3zxhY4cOULAhvNKMwy5ZOGTJmfh4eGhgIAaSkrK2tQZAAAA3N82bdqkq1evqn///goODs6w/v3339fatWvVo0cPjRgxQt9++6369u2rIUOGqHjx4jpy5IgSEhI0dOhQSddvJLZp0ybVq1dPHh4e8vPzU6FChdS2bVt99NFHeuCBB1SkSBEtW7ZMhmHYjQI3btxYS5cu1bJly1SxYkWtXr1ax48fz3KfIiMj5enpqccff1wFCxa0W/fggw/qv//9r9asWXPTgN21a1d9+umnGjBggAYNGqSKFSsqPj5ef/zxh5KTk+1G12+mcuXKkqSPPvpIbdq0UYECBWS1WtW7d2+1bdtWDz74oFxdXfXll1/Kzc0tz4RriYCNbHCxWLTtyLW7ekZgXuTjYVHTygUcXQYAAAD+Px8Pi3L7tlHXj5k1a9asUZkyZW4arqXrgXPmzJmKiYnRgw8+qE8//VRvvfWWpk+frtTUVFWsWNFuuvXUqVM1c+ZMDR06VNeuXdPSpUsVHBysF154QS+88IJmzJihggULavDgwfLz89OmTZts2z711FO6ePGi5s2bJ0lq166dpkyZouHDh2e6P8nJydqwYYPatGmTIVxLkq+vr5o3b641a9Zo7NixGda7u7tr6dKlCgsL03vvvaezZ8+qcOHCql69uvr27XvH41evXl0jR47U559/rvfff1+lS5fW5s2bVadOHX355Zc6ceKEXFxc5O/vr/fee88WyPMCi2EY91ZKcrD0u+IFBgY6uJKctea3BF24muboMkzl6+miTjU8lJCQkOXHFwDIvqtXr2r//v2qVq2aPD09HV0OcF/gvENece3aNR09elR+fn62x1ilc+SsyZw4dmpqqq5du6YCBQrI1dXV1H3j7tzu+1DKWsbjLuIAAAAA8hxHXpJ4L14OidxBwAYAAAAAwAQEbAAAAAAATEDABgAAAADABARsAAAAAABMQMAGAAAAAMAEBGwAAAAAAExAwAYAAAAAwAQEbAAAAAAATEDABgAAAADABARsAAAAALhLYWFhslqttj/BwcHq06ePvv3222ztLyYmRgMHDlRQUJCsVqv279+v/v37a9iwYSZXfnsPP/ywJk6cmKm2ycnJCg4OVtWqVfX3339nWL9y5UpZrVZduHDBlNpOnDihsLAwnT592pT9mSGfowsAAAAAgAyMNMnioPHAbB67QIEC+uCDDyRJZ86c0Xvvvafhw4fro48+Uq1atbK0r7lz5yomJkbz5s2Tl5eXKlasqGnTpsnFJe+OkX733Xe6dOmSJGnNmjV64okncvR4J0+eVHh4uFq0aKGSJUvm6LEyi4ANAAAAIO+xuEi7V0mXz+XucQsVk4K6ZWtTFxcX1a5d2/a6Vq1aat68ub788sssB+zo6GjVq1dPTZs2tS2rUqVKturKLWvWrJG3t7fKly+vyMjIHAvYhmEoOTk5R/Z9t/Luxx8AAAAA7m+Xz0lxp3L3j4mBvmTJkvL19c0wXXr37t0aMGCAateurbp162rcuHE6f/68pOvTnq1Wq37//Xf973//k9VqVatWrSQpwxTxsLAwBQUF6cCBA+rTp49q1aqlTp06adu2bRlqWblypTp37qzAwEA1bdpUs2fPVmpqql2bXbt2qXv37goMDFSnTp2yNL396tWr2rx5s9q1a6fu3bvr4MGDOnDgwB23S0pK0ttvv62WLVuqRo0a6tChgyIjI+3aTJw40VZPly5dFBgYqM2bN2vAgAGSpB49etim5kvXp6q/9tpratGihWrUqKGQkBANHz5c8fHxme5PdhGwAQAAACAHXLlyRbGxsSpXrpxt2Z49e9S/f395eXlp9uzZevnll7Vv3z6NGDFCklSiRAktX75cFStWVPPmzbV8+XKFh4ff8hjJyckaP368unfvrvDwcPn6+mrUqFG6ePGirc2SJUs0ZcoUhYSE6L333tPQoUO1dOlSzZ4929bm7NmzGjx4sNzd3TVnzhwNHjxY06dPz/T1zV9//bWuXr2qTp06qUOHDsqXL5/WrFlzx+1Gjx6t5cuX6/HHH9eCBQvUtGlTPfvssxnC/ZkzZzRjxgw99thjioiIUMWKFTV16lRJ0qxZs7R8+XItX75ckrRgwQJ9+umnGjp0qBYvXqwXXnhBJUqUUFJSUqb6cjeYIg4AAAAAJklJSZF0PRC+8cYbKliwoG2kVZLefvtt1ahRQ+Hh4bJYLJIkf39/2wht8+bNVbt2bRUoUEC+vr52U85vJj1gN2/eXJLk5+en1q1ba+vWrXr44Yd1+fJlzZs3T0OGDNHYsWMlSU2aNJGbm5teffVVDR48WEWKFNEHH3wgi8WiiIgIeXl5SZJKlSqlxx57LFP9XrNmjUqWLKkGDRrIxcVFDRs21Jo1azR27FhbP//thx9+0ObNm7Vo0SKFhITYajt79qzCwsJsfZKk2NhYRURE2E21j42NlSQ9+OCDCgwMtC3ft2+fQkJC1K9fP9uydu3aZaofd4sRbAAAAAAwwdWrVxUQEKCAgAC1bNlSGzZs0Ouvv65KlSpJkhISErR79261b99eqampSklJUUpKiipWrKjSpUtr3759WT6mi4uLGjVqZHtdrlw5FShQwDbyvHv3bl29elXt27e3HS8lJUWNGzfWtWvXdOjQIUnSr7/+quDgYFu4lqRGjRqpcOHCd6zhwoUL2r59u0JDQ203YevcubP+/vtv/fLLL7fcbvv27SpcuLAaNmyYobb9+/fbTWEvXLhwpq9jr169ur799luFhYVp7969SktLy9R2ZmAEGwAAAABMUKBAAS1btkyGYejYsWN66623NGHCBEVGRqpo0aKKj49XamqqZs2apVmzZmXY/p9//snWMd3d3e2Wubm5KTExUZJsU8W7dbv5jdvSj3n27Fk98MADGdb7+vresYb169crJSVFzZs3V1xcnCQpODhY7u7uioyMVL169W663cWLF3Xp0iUFBATcdP3Zs2dVqlQpSVKxYsXuWEe6J598Ui4uLlq1apVt2ny/fv301FNP3XI03SwEbAAAAAAwgYuLi22qcs2aNeXn56devXpp/vz5mjp1qry8vGSxWDRs2DC1adMmw/ZFihQxvSYfHx9JUnh4uC2s3ij9+vDixYvbbrR2o8w8szr9WuubTSePiorSlClT5ObmdtPafH19tXDhwpvu98Zwn5Vg7O7urpEjR2rkyJE6fvy4VqxYobCwMJUrV05du3bN9H6yg4ANAAAAADkgMDBQHTt21MqVK/Xkk0/Ky8tLtWvXVnR0tN01wzkpKChIHh4eOnXqlNq2bXvLdjVr1tQnn3yi+Ph42zTxHTt22J5rfSsnT57U7t271bt3b4WGhtqt279/v2bNmqVt27bZ7oR+o8aNG+v999+Xm5ubqlatmuW+pYf29NH6m3nggQc0duxYLV++XNHR0Vk+RlYRsAEAAAAgh4wYMULr1q3Thx9+qBEjRmj8+PF6/PHHNWbMGHXs2FHe3t46deqUvv/+e3Xv3l3BwcGmHt/b21ujRo3SG2+8oVOnTqlBgwZydXVVTEyMNm3apLCwMHl4eGjgwIH6+OOPNXToUA0dOlRxcXEKCwu74zXY6aPXQ4YMUfny5e3W1a1bVwsXLtSaNWtuGrCbNGmili1basiQIRoyZIisVqsSEhJ0+PBhHT9+XK+88sptj12xYkW5urpqxYoVypcvn1xdXRUYGKgRI0YoICBA1atXl4eHh7Zs2aLY2Fg1bNgwa29eNhCwAQAAAORNhTJ/3W1ePWalSpUUGhqqTz/9VP3791dQUJA+/vhjhYWFadKkSUpOTlapUqXUsGHDm14DbYZBgwapZMmSWrJkiZYtW6Z8+fKpQoUKatGihW0UuESJEoqIiNCMGTM0evRoVahQQVOnTrV7lNfNrFmzRnXq1MkQriUpX7586tSpkz777DNduXLlptvPmzdPCxcu1CeffKKTJ0/Ky8tLDz74oLp3737Hfvn6+mrq1Kl6//33tXr1aqWkpOjAgQOqU6eO1q9fryVLlig1NVV+fn5688031bhx40y8W3fHYhiGkeNHuY+k3/kvt6Z8OMqa3xJ04Wru3Y0vN/h6uqhTDQ8lJCTIw8PD0eUA942rV69q//79qlatmjw9PR1dDnBf4LxDXnHt2jUdPXpUfn5+KlCggP1KI02yOOihRzlw7NTUVF27dk0FChSQq6urqfvG3bnt96GylvF4TBcAAACAvMdR4drRx4ZT4zsHAAAAAAATELABAAAAADABARsAAAAAABMQsAEAAAAAMAEBGwAAAIBD8WAjOJKZ338EbAAAAAAOkf4M5qtXrzq4EtzP0r//0r8f70a+u94DAAAAAGSDq6urChcurDNnzkiSPD09ZbFYHFxVzkhNTVViYqIk8RzsPMIwDF29elVnzpxR4cKFTfm6ELABAAAAOEypUqUkyRay71VpaWlKSUlRvnz55OLCROK8pHDhwrbvw7tFwAYAAADgMBaLRaVLl1aJEiWUnJzs6HJyTEJCgqKjo1WhQgV5eHg4uhz8f25ubqbOKCBgAwAAAHA4V1fXe3rqdFpamiQpf/78KlCggIOrQU5hbgIAAAAAACYgYAMAAAAAYAICNgAAAAAAJiBgAwAAAABgAgI2AAAAAAAmIGADAAAAAGACAjYAAAAAACYgYAMAAAAAYAICNgAAAAAAJiBgAwAAAABgAgI2AAAAAAAmIGADAAAAAGACAjYAAAAAACYgYAMAAAAAYAICNgAAAAAAJiBgAwAAAABgAgI2AAAAAAAmIGADAAAAAGACAjYAAAAAACYgYAMAAAAAYAICNgAAAAAAJiBgAwAAAABgAgI2AAAAAAAmIGADAAAAAGACAjYAAAAAACYgYAMAAAAAYAICNgAAAAAAJiBgAwAAAABgAgI2AAAAAAAmIGADAAAAAGACAjYAAAAAACYgYAMAAAAAYAICNgAAAAAAJiBgAwAAAABgAgI2AAAAAAAmIGADAAAAAGACAjYAAAAAACYgYAMAAAAAYAICNgAAAAAAJnDKgL1p0yb17NlTQUFBCgkJ0ejRoxUTE5Oh3eeff6527dopMDBQXbp00ZYtWzK0iY+P1/PPP68GDRooKChIo0aN0pkzZ3KjGwAAAACAe4jTBeydO3fq6aefVpUqVTR//nw9//zz+vPPPzVo0CBdu3bN1m7t2rV64YUX1KFDB0VERKh27dp6+umntWfPHrv9jRkzRtu3b9eLL76oN998U0ePHtXQoUOVkpKSyz0DAAAAADizfI4uIKvWrl2rMmXKaObMmbJYLJIkX19fDRw4UL/99pvq1asnSZo3b546duyoMWPGSJIaNmyogwcPav78+YqIiJAk7d69W999950WLVqkkJAQSZKfn59CQ0O1ceNGhYaG5n4HAQAAAABOyelGsFNSUlSwYEFbuJYkLy8vSZJhGJKkmJgYHTt2TB06dLDbNjQ0VDt27FBSUpIkaevWrfL29laTJk1sbSpVqqRq1app69atOd0VAAAAAMA9xOkCdvfu3XXkyBF99NFHio+PV0xMjN5++21Vr15dderUkSRFR0dLuj4afaPKlSsrOTnZdr12dHS0/Pz87MK6dD1kp+8DAAAAAIDMcLop4vXq1VN4eLjGjRunl156SZJUrVo1vf/++3J1dZUkxcbGSpK8vb3ttk1/nb4+Li7ONvp9Ix8fH/3222/ZrtEwDF29ejXb2+dlFotFHh4eji4jRyUmJtpmQwDIeQkJCXZ/A8h5nHdA7uO8c16GYWQYlL0VpwvYu3bt0nPPPadevXqpRYsWunTpkt555x098cQT+vjjj1WgQAFHl6jk5GTt37/f0WXkCA8PD1WvXt3RZeSov//+mx98gAMcO3bM0SUA9x3OOyD3cd45J3d390y1c7qAPWPGDDVs2FATJ060Latdu7ZatGih//3vf3rkkUfk4+Mj6fojuIoXL25rFxcXJ0m29d7e3jp16lSGY8TGxtraZIebm5uqVKmS7e3zssx+cuPMypQpk+kTCMDdS0hI0LFjx1SxYsV7foYMkFdw3gG5j/POeR0+fDjTbZ0uYB85ckStW7e2W1aqVCkVKVJEf/31l6Tr11BL16+xTv93+ms3NzeVL1/e1m7Hjh0ZhvyPHj0qf3//bNdosVjk6emZ7e3hWPnz5+eHHuAAHh4e/OwEchnnHZD7OO+cT1YGGZ3uJmdlypTRH3/8Ybfs5MmTunjxosqWLStJKl++vCpWrKioqCi7duvWrVOjRo1so5PNmjVTbGysduzYYWtz9OhR/fHHH2rWrFkO9wQAAAAAcC9xuhHs3r17a+bMmZoxY4ZatWqlS5cu6d1331XRokXtHss1cuRIjR8/XhUqVFBwcLDWrVunvXv3atmyZbY2QUFBCgkJ0fPPP68JEyYof/78mj17tqxWqx566CFHdA8AAAAA4KScLmAPGDBA7u7u+uSTT7RixQoVLFhQtWvX1pw5c1SkSBFbu06dOikhIUERERFauHCh/Pz8FB4erqCgILv9zZkzR7NmzdLUqVOVkpKikJAQTZkyRfnyOd1bAwAAAABwIKdLkRaLRX369FGfPn3u2LZnz57q2bPnbdt4eXlp5syZmjlzplklAgAAAADuQ053DTYAAAAAAHkRARsAAAAAABMQsAEAAAAAMAEBGwAAAAAAExCwAQAAAAAwAQEbAAAAAAATELABAAAAADABARsAAAAAABMQsAEAAAAAMAEBGwAAAAAAExCwAQAAAAAwAQEbAAAAAAATELABAAAAADABARsAAAAAABMQsAEAAAAAMAEBGwAAAAAAExCwAQAAAAAwAQEbAAAAAAATELABAAAAADABARsAAAAAABMQsAEAAAAAMAEBGwAAAAAAExCwAQAAAAAwAQEbAAAAAAATELABAAAAADABARsAAAAAABMQsAEAAAAAMAEBGwAAAAAAExCwAQAAAAAwAQEbAAAAAAATELABAAAAADABARsAAAAAABMQsAEAAAAAMAEBGwAAAAAAExCwAQAAAAAwAQEbAAAAAAATELABAAAAADABARsAAAAAABMQsAEAAAAAMAEBGwAAAAAAExCwAQAAAAAwAQEbAAAAAAATELABAAAAADABARsAAAAAABMQsAEAAAAAMAEBGwAAAAAAExCwAQAAAAAwAQEbAAAAAAATELABAAAAADABARsAAAAAABMQsAEAAAAAMAEBGwAAAAAAExCwAQAAAAAwAQEbAAAAAAATELABAAAAADABARsAAAAAABMQsAEAAAAAMAEBGwAAAAAAExCwAQAAAAAwAQEbAAAAAAATELABAAAAADABARsAAAAAABMQsAEAAAAAMAEBGwAAAAAAExCwAQAAAAAwAQEbAAAAAAATELABAAAAADABARsAAAAAABMQsAEAAAAAMAEBGwAAAAAAExCwAQAAAAAwAQEbAAAAAAATELABAAAAADABARsAAAAAABMQsAEAAAAAMAEBGwAAAAAAExCwAQAAAAAwAQEbAAAAAAATELABAAAAADABARsAAAAAABMQsAEAAAAAMAEBGwAAAAAAExCwAQAAAAAwgdMG7FWrVqlr164KDAxUcHCwhgwZomvXrtnWb968WV26dFFgYKDatWunFStWZNhHUlKSXnvtNTVp0kS1a9fW448/rujo6NzsBgAAAADgHuGUAfvdd9/Vyy+/rNDQUC1atEgvvfSSypUrp9TUVEnSzz//rKefflq1a9dWRESEOnTooMmTJysqKspuPzNmzNDnn3+uZ555RmFhYUpKStJjjz2m+Ph4R3QLAAAAAODE8jm6gKyKjo5WeHi43nnnHTVv3ty2vF27drZ/v/vuu6pZs6ZeeuklSVLDhg0VExOjefPmqX379pKkU6dO6YsvvtC0adPUo0cPSVJgYKBatmypTz/9VEOHDs3FXgEAAAAAnJ3TjWCvXLlS5cqVswvXN0pKStLOnTttQTpdaGiojhw5ohMnTkiSvvvuO6Wlpdm1K1y4sJo0aaKtW7fmXAcAAAAAAPckpwvYv/76q/z9/fXOO++oUaNGqlGjhnr37q1ff/1VkvTXX38pOTlZlSpVstuucuXKkmS7xjo6OlpFixaVj49PhnZchw0AAAAAyCqnmyJ+9uxZ/fbbbzp48KCmTZsmDw8Pvffeexo0aJA2btyo2NhYSZK3t7fddumv09fHxcXJy8srw/69vb1tbbLLMAxdvXr1rvaRV1ksFnl4eDi6jByVmJgowzAcXQZw30hISLD7G0DO47wDch/nnfMyDEMWiyVTbZ0uYKeH17lz56pq1aqSpFq1aqlVq1ZatmyZQkJCHFyhlJycrP379zu6jBzh4eGh6tWrO7qMHPX333/zgw9wgGPHjjm6BOC+w3kH5D7OO+fk7u6eqXZOF7C9vb1VuHBhW7iWrl87Xb16dR0+fFgdO3aUpAx3Ao+Li5Mk25Rwb29vXb58OcP+4+LiMkwbzyo3NzdVqVLlrvaRV2X2kxtnVqZMmUyfQADuXkJCgo4dO6aKFSve8zNkgLyC8w7IfZx3zuvw4cOZbut0AbtKlSr666+/brouMTFRFSpUkJubm6Kjo9W0aVPbuvTrqtOvza5UqZLOnTun2NhYu0AdHR2d4frtrLJYLPL09LyrfcBx8ufPzw89wAE8PDz42QnkMs47IPdx3jmfrAwyOt1Nzlq2bKlLly7ZTcG+ePGifv/9dwUEBMjd3V3BwcHasGGD3Xbr1q1T5cqVVa5cOUlSSEiIXFxctHHjRlub2NhYfffdd2rWrFnudAYAAAAAcM9wuhHsNm3aKDAwUKNGjdIzzzyj/Pnza+HChXJ3d1ffvn0lSU8++aQGDBigF198UR06dNDOnTu1Zs0azZ4927afUqVKqUePHnr99dfl4uKikiVLasGCBfLy8lLv3r0d1T0AAAAAgJNyuoDt4uKihQsXatasWZo6daqSk5NVr149ffTRRypevLgkqV69egoLC9OcOXP0xRdfqEyZMpoxY4Y6dOhgt68pU6aoYMGCeuutt3TlyhXVqVNHS5YsuendxQEAAAAAuB2nC9iS5OvrqzfeeOO2bVq3bq3WrVvfto27u7smTJigCRMmmFkeAAAAAOA+5HTXYAMAAAAAkBcRsAEAAAAAMAEBGwAAAAAAExCwAQAAAAAwAQEbAAAAAAATELABAAAAADABARsAAAAAABMQsAEAAAAAMAEBGwAAAAAAExCwAQAAAAAwAQEbAAAAAAATELABAAAAADABARsAAAAAABMQsAEAAAAAMEG2A/aAAQO0Y8eOW67/4YcfNGDAgOzuHgAAAAAAp5LtgP3jjz/q3Llzt1x/4cIF/fTTT9ndPQAAAAAATuWupohbLJZbrjt+/LgKFix4N7sHAAAAAMBp5MtK41WrVmnVqlW21++++64+++yzDO3i4+N14MABNWvW7O4rBAAAAADACWQpYCckJOjixYu211euXJGLS8ZBcE9PT/Xu3VtPPfXU3VcI5LLbzcwAAAAAgFvJUsDu27ev+vbtK0lq1aqVJk+erNatW+dIYUBuK+BmkYw0FShQwNGl5BwjTbLw8AAAAAAgJ2QpYN9o8+bNZtYBOJy7q66Hz92rpMu3voGf0ypUTArq5ugqAAAAgHtWtgN2usuXL+vvv/9WXFycDMPIsL5+/fp3ewggd10+J8WdcnQVAAAAAJxMtgP2hQsXNGPGDG3cuFGpqakZ1huGIYvFov37999VgQAAAAAAOINsB+ypU6dqy5Yt6t+/v+rVqydvb28z6wIAAAAAwKlkO2Bv375dAwcO1HPPPWdmPQAAAAAAOKVs3064QIECKlu2rJm1AAAAIJe4ubnxaEoAMFm2A3aXLl309ddfm1kLAAAAcoHFYlGNgAB5eHg4upScYaQ5ugIA96lsTxFv166dfvrpJw0ePFiPPPKISpUqJVdX1wztAgIC7qpAAAAAmM/F1fXefDQlj6UE4EDZDth9+/a1/fv777/PsJ67iAMAAORxPJoSAEyV7YA9a9YsM+sAAAAAAMCpZTtgd+vG1BsAAAAAANJl+yZnAAAAAADg/2R7BHvSpEl3bGOxWDRz5szsHgIAAAAAAKeR7YC9c+fODMvS0tJ09uxZpaamytfX99599AMAAAAAAP+S7YC9efPmmy5PTk7W8uXL9cEHH2jx4sXZLgwAAAAAAGdi+jXYbm5uevTRR9WkSRO9/PLLZu8eAAAAAIA8Kcducla1alX99NNPObV7AAAAAADylBwL2N9//z3XYAMAAAAA7hvZvgY7PDz8psvj4+P1008/6Y8//tATTzyR7cIAAAAAAHAmpgdsHx8flS9fXtOnT1evXr2yXRgAAAAAAM4k2wH7zz//NLMOAAAAAACcWo5dgw0AAAAAwP0k2yPY6X788Ud98803+vvvvyVJZcqUUYsWLdSgQYO7Lg4AAAAAAGeR7YCdlJSkcePG6euvv5ZhGPL29pYkxcXFacmSJWrbtq3eeustubm5mVYsAAAAAAB5VbaniM+fP19fffWVHn/8cX333Xf68ccf9eOPP2r79u0aNGiQNm7cqPnz55tZKwAAAAAAeVa2A3ZkZKS6deum5557TsWKFbMtL1q0qJ599ll17dpVq1evNqVIAAAAAADyumwH7LNnz6pmzZq3XF+zZk2dPXs2u7sHAAAAAMCpZDtglypVSj/++OMt1//0008qVapUdncPAAAAAIBTyXbA7tq1q9avX6+pU6cqOjpaqampSktLU3R0tKZNm6aoqCh169bNzFoBAAAAAMizsn0X8eHDhysmJkafffaZPv/8c7m4XM/qaWlpMgxD3bp10/Dhw00rFAAAAACAvCzbAdvV1VWvvvqqHnvsMW3dulUnT56UJJUtW1bNmjVT1apVTSsSAAAAAIC8LksBOzExUa+88ooefPBB9e/fX5JUtWrVDGF66dKl+vTTTzV58mSegw0AAAAAuC9k6Rrs5cuXa9WqVWrRosVt27Vo0UIrVqzQ559/fje1AQAAAADgNLIUsNevX6+HHnpI5cuXv227ChUqqH379lq7du1dFQcAAAAAgLPIUsA+ePCg6tatm6m2QUFBOnDgQLaKAgAAAADA2WQpYCcnJ2f6mmo3NzclJSVlqygAAAAAAJxNlgJ2iRIldOjQoUy1PXTokEqUKJGtogAAAAAAcDZZCtiNGzfW//73P50/f/627c6fP6///e9/aty48V0VBwAAAACAs8hSwB46dKgSExM1cOBA/frrrzdt8+uvv+qxxx5TYmKihgwZYkqRAAAAAADkdVl6Dnb58uU1Z84cjR07Vr1791b58uXl7++vggUL6sqVKzp06JD++usvFShQQG+//bYqVKiQU3UDAAAAAJCnZClgS9efcb169WpFRETom2++0ddff21bV6JECfXs2VNDhw6946O8AAAAAAC4l2Q5YEtSuXLlNH36dEnS5cuXdeXKFRUsWFCFChUytTgAAAAAAJxFtgL2jQoVKkSwBgAAAADc97J0kzMAAAAAAHBzBGwAAAAAAExAwAYAAAAAwAQEbAAAAAAATEDABgAAAADABARsAAAAAABMQMAGAAAAAMAEBGwAAAAAAExAwAYAAAAAwAQEbAAAAAAATEDABgAAAADABARsAAAAAABMQMAGAAAAAMAEBGwAAAAAAExAwAYAAAAAwAQEbAAAAAAATEDABgAAAADABARsAAAAAABMQMAGAAAAAMAEBGwAAAAAAEzg9AH7ypUratasmaxWq/bt22e37vPPP1e7du0UGBioLl26aMuWLRm2j4+P1/PPP68GDRooKChIo0aN0pkzZ3KrfAAAAADAPcLpA/Y777yj1NTUDMvXrl2rF154QR06dFBERIRq166tp59+Wnv27LFrN2bMGG3fvl0vvvii3nzzTR09elRDhw5VSkpKLvUAAAAAAHAvcOqAfeTIEX388ccaOXJkhnXz5s1Tx44dNWbMGDVs2FAvvfSSAgMDNX/+fFub3bt367vvvtMrr7yi0NBQtW7dWnPnztWBAwe0cePG3OwKAAAAAMDJOXXAnjFjhnr37i0/Pz+75TExMTp27Jg6dOhgtzw0NFQ7duxQUlKSJGnr1q3y9vZWkyZNbG0qVaqkatWqaevWrTnfAQAAAADAPcNpA3ZUVJQOHjyop556KsO66OhoScoQvCtXrqzk5GTFxMTY2vn5+clisdi1q1Spkm0fAAAAAABkRj5HF5AdCQkJevXVV/XMM8+oUKFCGdbHxsZKkry9ve2Wp79OXx8XFycvL68M2/v4+Oi3337Ldn2GYejq1avZ3j4vs1gs8vDwcHQZuAsJCQkyDMPRZQA2CQkJdn8DyHlJSUn3/O9zft8hr+H3nfMyDCPDoOytOGXAfvfdd1W0aFH95z//cXQpN5WcnKz9+/c7uowc4eHhoerVqzu6DNyFo0eP8oMdedKxY8ccXQJw3/Dw8FDhwoUdXUaO4vcd8ip+3zknd3f3TLVzuoB98uRJLV68WPPnz1d8fLwk2UaLr169qitXrsjHx0fS9UdwFS9e3LZtXFycJNnWe3t769SpUxmOERsba2uTHW5ubqpSpUq2t8/LMvvJDfIuPz8/PtFHnpKQkKBjx46pYsWK9/yIGpBXpN+P5l7G7zvkNfy+c16HDx/OdFunC9gnTpxQcnKynnjiiQzrBgwYoFq1aumtt96SdP0a60qVKtnWR0dHy83NTeXLl5d0/VrrHTt2ZBjyP3r0qPz9/bNdo8VikaenZ7a3B3ISP9CRV3l4ePCzE8gl98MH5vy+Q17F7zvnk5WfmU4XsKtVq6alS5faLdu/f79mzZql6dOnKzAwUOXLl1fFihUVFRWlNm3a2NqtW7dOjRo1sg3vN2vWTO+884527Nihxo0bS7oerv/44w8NGTIk9zoFAAAAAHB6Thewvb29FRwcfNN1AQEBCggIkCSNHDlS48ePV4UKFRQcHKx169Zp7969WrZsma19UFCQQkJC9Pzzz2vChAnKnz+/Zs+eLavVqoceeihX+gMAAAAAuDc4XcDOrE6dOikhIUERERFauHCh/Pz8FB4erqCgILt2c+bM0axZszR16lSlpKQoJCREU6ZMUb589+xbAwAAAADIAfdEigwODtaBAwcyLO/Zs6d69ux52229vLw0c+ZMzZw5M6fKAwAAAADcB1wcXQAAAAAAAPcCAjYAAAAAACYgYAMAAAAAYAICNgAAAAAAJiBgAwAAAABgAgI2AAAAAAAmIGADAAAAAGACAjYAAAAAACYgYAMAAAAAYAICNgAAAAAAJiBgAwAAAABgAgI2AAAAAAAmIGADAAAAAGACAjYAAAAAACYgYAMAAAAAYAICNgAAAAAAJiBgAwAAAABgAgI2AAAAAAAmIGADAAAAAGACAjYAAAAAACYgYAMAAAAAYAICNgAAAAAAJiBgAwAAAABgAgI2AAAAAAAmIGADAAAAAGACAjYAAAAAACYgYAMAAAAAYAICNgAAAAAAJiBgAwAAAABgAgI2AAAAAAAmIGADAAAAAGACAjYAAAAAACYgYAMAAAAAYAICNgAAAAAAJiBgAwAAAABgAgI2AAAAAAAmIGADAAAAAGACAjYAAAAAACYgYAMAAAAAYAICNgAAAAAAJiBgAwAAAABgAgI2AAAAAAAmIGADAAAAAGACAjYAAAAAACYgYAMAAAAAYAICNgAAAAAAJiBgAwAAAABgAgI2AAAAAAAmIGADAAAAAGACAjYAAAAAACYgYAMAAAAAYAICNgAAAAAAJiBgAwAAAABgAgI2AAAAAAAmIGADAAAAAGACAjYAAAAAACYgYAMAAAAAYAICNgAAAAAAJiBgAwAAAABgAgI2AAAAAAAmIGADAAAAAGACAjYAAAAAACYgYAMAAAAAYAICNgAAAAAAJiBgAwAAAABgAgI2AAAAAAAmIGADAAAAAGACAjYAAAAAACYgYAMAAAAAYAICNgAAAAAAJiBgAwAcymKxyM3NzdFlAAAA3DUCNgA4gTTDcHQJOcbDw0MBATVksVgcXQoAAMBdyefoAgAAd+ZisWjbkWuKTbj3graPh0VNKxdwdBkAAAB3jYANAE4iNsHQhatpji4jBzCZCgAA3Bv4Xw0AAAAAACYgYAMAAAAAYAICNgAAAAAAJiBgAwAAAABgAgI2ACBP4DFdAADA2RGwAQAOVcDNIhlpKlDgHn1Ul3Ev3vkdAADcDI/pAgA4lLurJIuLtHuVdPmco8sxV6FiUlA3R1cBAAByCQEbAJA3XD4nxZ1ydBUAAADZxhRxAAAAAABM4HQBe/369XryySfVrFkz1a5dWw8//LC++OILGYZh1+7zzz9Xu3btFBgYqC5dumjLli0Z9hUfH6/nn39eDRo0UFBQkEaNGqUzZ87kVlcAAAAAAPcQpwvY//3vf+Xh4aGJEyfq3XffVbNmzfTCCy9o/vz5tjZr167VCy+8oA4dOigiIkK1a9fW008/rT179tjta8yYMdq+fbtefPFFvfnmmzp69KiGDh2qlJSUXO4VAAAAAMDZOd012O+++658fX1trxs1aqRLly5pyZIlGjFihFxcXDRv3jx17NhRY8aMkSQ1bNhQBw8e1Pz58xURESFJ2r17t7777jstWrRIISEhkiQ/Pz+FhoZq48aNCg0NzfW+AQAAAACcl9ONYN8YrtNVq1ZNly9f1tWrVxUTE6Njx46pQ4cOdm1CQ0O1Y8cOJSUlSZK2bt0qb29vNWnSxNamUqVKqlatmrZu3ZqznQAAAAAA3HOcLmDfzC+//KKSJUuqUKFCio6OlnR9NPpGlStXVnJysmJiYiRJ0dHR8vPzk8VisWtXqVIl2z4AAAAAAMgsp5si/m8///yz1q1bpwkTJkiSYmNjJUne3t527dJfp6+Pi4uTl5dXhv35+Pjot99+u6uaDMPQ1atX72ofeZXFYpGHh4ejy8BdSEhIyHBTQORtnHfOj/MOeU1SUtI9/3OF8w55TUJCgt3fcB6GYWQYmL0Vpw7Yp06d0jPPPKPg4GANGDDA0eXYJCcna//+/Y4uI0d4eHioevXqji4Dd+Ho0aP8YHcynHfOj/MOeY2Hh4cKFy7s6DJyFOcd8qpjx445ugRkg7u7e6baOW3AjouL09ChQ1W4cGGFhYXJxeX6bHcfHx9J1x/BVbx4cbv2N6739vbWqVOnMuw3NjbW1ia73NzcVKVKlbvaR16V2U9ukHf5+fnxib6T4bxzfpx3yGvS70lzL+O8Q16TkJCgY8eOqWLFivf8DJJ7zeHDhzPd1ikD9rVr1zRs2DDFx8dr+fLldlO9K1WqJOn6Ndbp/05/7ebmpvLly9va7dixI8Nw/9GjR+Xv739X9VksFnl6et7VPoCcwg90IPdx3iGvuR8+uOO8Q17l4eFBVnAyWfmZ6XQ3OUtJSdGYMWMUHR2t999/XyVLlrRbX758eVWsWFFRUVF2y9etW6dGjRrZhvabNWum2NhY7dixw9bm6NGj+uOPP9SsWbOc7wgAAAAA4J7idCPY06dP15YtWzRx4kRdvnxZe/bssa2rXr263N3dNXLkSI0fP14VKlRQcHCw1q1bp71792rZsmW2tkFBQQoJCdHzzz+vCRMmKH/+/Jo9e7asVqseeughB/QMAAAAAODMnC5gb9++XZL06quvZli3adMmlStXTp06dVJCQoIiIiK0cOFC+fn5KTw8XEFBQXbt58yZo1mzZmnq1KlKSUlRSEiIpkyZonz5nO5tAQAAAAA4mNMlyc2bN2eqXc+ePdWzZ8/btvHy8tLMmTM1c+ZMM0oDAAAAANzHnO4abAAAAAAA8iICNgAAAAAAJiBgAwAAAABgAgI2AAAAAAAmIGADAAAAAGACAjYAAAAAACYgYAMAAAAAYAICNgAAAAAAJiBgAwAAAABgAgI2AAAAAAAmIGADAAAAAGACAjYAAAAAACYgYAMAAAAAYAICNgAAAAAAJiBgAwAAAABgAgI2AAAAAAAmIGADAAAAAGACAjYAAAAAACYgYAMAAAAAYAICNgAAAAAAJiBgAwAAAABgAgI2AAAAAAAmIGADAAAAAGACAjYAAAAAACYgYAMAAAAAYAICNgAAAAAAJiBgAwAAAABgAgI2AAAAAAAmIGADAAAAAGACAjYAAAAAACYgYAMAAAAAYAICNgAAAAAAJiBgAwAAAABgAgI2AAAAAAAmIGADAAAAAGACAjYAAAAAACYgYAMAAAAAYAICNgAAAAAAJiBgAwAAAABgAgI2AAAAAAAmIGADAAAAAGACAjYAAAAAACYgYAMAAAAAYAICNgAAAAAAJiBgAwAAAABgAgI2AAAAAAAmIGADAAAAQA6zWCxyc3NzdBnIYQRsAAAAAHlCmmE4uoQc4+HhoYCAGrJYLI4uBTkon6MLAAAAAABJcrFYtO3INcUm3HtB28fDoqaVCzi6DOQwAjYAAACAPCM2wdCFq2mOLiMHMHn4fsBXGQAAAAAAExCwAQAAAAAwAQEbAAAAAAATELABAAAAADABARsAAAAAABMQsAEAAAAAMAEBGwAAAAAAExCwAQAAAAAwAQEbAAAAAAATELABAAAAADABARsAAAAAABMQsAEAAAAAMAEBGwAAAAAAExCwAQAAAAAwAQEbAAAAAAATELABAAAAADABARsAAAAAABMQsAEAAAAAMAEBGwAAAAAAExCwAQAAAAAwAQEbAAAAAAATELABAAAAADABARsAAAAAABMQsAEAAAAAMAEBGwAAAAAAExCwAQAAAAAwAQEbAAAAAAATELABAAAAADABARsAAAAAABMQsAEAAAAAMAEBGwAA4D5jsVgcXQIA3JMI2AAAADeRZhiOLiHHFChQwNElAPctPuC6t+VzdAEAAAB5kYvFom1Hrik24d4L2mV8XFSnfH5HlwHcVwq4WSQj7d79gMtIkyyM3973AfvIkSOaMWOGdu/erYIFC+rhhx/WmDFj5O7u7ujSAACAg8UmGLpwNc3RZZjOuwAjaEBuc3fV9QC6e5V0+ZyjyzFXoWJSUDdHV5En3NcBOzY2VgMHDlTFihUVFham06dP69VXX9W1a9c0depUR5cHAAAA4F5z+ZwUd8rRVSCH3NcB+9NPP9WVK1cUHh6uwoULS5JSU1M1ffp0DRs2TCVLlnRsgQAAAAAAp3FfT5LfunWrGjVqZAvXktShQwelpaVp+/btjisMAAAAAOB07uuAHR0drUqVKtkt8/b2VvHixRUdHe2gqgAAAAAAzui+niIeFxcnb2/vDMt9fHwUGxubrX0mJyfLMAzt3bv3bsvLsywWi0qmGCru6uhKzJUvXtq3zyJ51pQKBDi6HPO5uEr79sm4hx87cy+7V8876R4/9zjvnBrnnZPivHNqnHdO6h4/75KTkzP9eLX7OmDnhPQ3/l5/vl2BfPdw/9w9HV1BjrrXvzfvZff0eSfd0+ce553z4rxzXpx3zovzznndq+edxWIhYGeGt7e34uPjMyyPjY2Vj49PtvYZFBR0t2UBAAAAAJzQfX0NdqVKlTJcax0fH6+zZ89muDYbAAAAAIDbua8DdrNmzfT9998rLi7OtiwqKkouLi5q0qSJAysDAAAAADgbi3GvXomeCbGxserYsaP8/Pw0bNgwnT59Wq+++qo6d+6sqVOnOro8AAAAAIATua8DtiQdOXJEL7/8snbv3q2CBQvq4Ycf1jPPPCN3d3dHlwYAAAAAcCL3fcAGAAAAAMAM9/U12AAAAAAAmIWADQAAAACACQjYAAAAAACYgIANAAAAAIAJCNgAAAAAAJiAgA0AAAAAgAkI2AAAAMjglVdeUatWrRxdBuCUTpw4IavVqqioKNuyVq1a6aWXXnJgVcgNBGwAAAAAAExAwMZ9JykpSWlpaY4uA7hnXbt2zdElAJBkGIaSkpIcXQYA3FcI2HB6n376qVq2bKlatWrp8ccf1x9//CGr1aqVK1dK+r/pOBEREWrZsqVq1qypS5cuSZJWrlypzp07KzAwUE2bNtXs2bOVmppqt/9Tp05p/PjxCg4OVs2aNdWvXz/99ttvdm3Sj/HRRx+pZcuWqlu3rkaMGKELFy7kynsA5KSNGzfq4YcfVmBgoEJCQjRr1iwlJiZKknbu3Cmr1apvvvlGo0aNUp06dTR69GhJ0pdffqk+ffqoQYMGql+/vvr376+9e/fa7TssLExBQUE6cOCA+vTpo1q1aqlTp07atm2bXbukpCTNmDFDDRo0UL169TR16lRFRkbKarXqxIkTdu3efvtttWzZUjVq1FCHDh0UGRmZw+8QkDdMnDhRnTp10rfffqsuXbooMDBQmzdv1u7duzVgwADVrl1bdevW1bhx43T+/Hm7bU+fPq3hw4erVq1aatq0qSIiIhzUC8CxNm/eLKvVqmPHjtktj42NVc2aNfXRRx9JUqbOq8y43e9YSWrTpo3mzJlje71hwwZZrVa99tprtmXbtm2T1Wrl/515RD5HFwDcjU2bNmnatGnq2bOn2rVrp/3792vMmDEZ2m3cuFEPPPCAJk+eLBcXF3l6emrJkiV64403NHDgQE2cOFFHjhyxBezx48dLuv7DtG/fvvL09NQLL7wgLy8vffjhhxo4cKA2btyookWL2o6xefNmHT9+XFOnTtXFixc1a9Ysvfzyy5o9e3ZuvR2A6TZt2qRRo0apY8eOGjdunKKjozV79mz9888/mjdvnq3dCy+8oC5dumj+/Plycbn+2e2JEyfUtWtXVahQQUlJSVq7dq369eun1atXy8/Pz7ZtcnKyxo8frwEDBmjEiBGKiIjQqFGjtHnzZhUpUkSS9NZbb+nTTz/VqFGjVK1aNW3YsEFvvfVWhnpHjx6tXbt26amnnlLlypX17bff6tlnn5W3t7eaN2+ew+8W4HhnzpzRjBkz9OSTT6p06dJyc3NT//791bx5c82ePVsJCQmaM2eORowYoeXLl9u2GzFihE6fPq0XX3xRXl5eioiI0D///KN8+fivIu4vzZs3V8mSJbVixQqNGzfOtnzNmjWSpM6dO2v37t2ZOq/uJDO/Y+vXr6+ff/7Zts1PP/2k/PnzZ1hWqVIl+fr63m33YQYDcGL/+c9/jAEDBtgtmz9/vuHv72+sWLHCMAzDaNmypdGgQQPjypUrtjbx8fFG7dq1jbfeestu248//tioWbOmceHCBcMwDGPu3LlG3bp1jXPnztnaJCYmGi1atDBee+0127KWLVsazZo1MxITE23L5s2bZwQEBBipqanmdRjIZV27djUeeeQRu2Wffvqp4e/vb/z555/GDz/8YPj7+xtTp0697X5SU1ON5ORko127dnbn3bx58wx/f3/jm2++sS2LiYkx/P39jS+//NIwDMO4ePGiERgYaISHh9vtc+DAgYa/v78RExNjGIZh7Nixw/D39ze2bdtm127MmDHGf/7zn6x3HnAyEyZMMPz9/Y09e/bYlvXr18945JFHjLS0NNuyQ4cOGVar1Xbeffvtt4a/v7/x/fff29rExcUZQUFBRsuWLXOvA0AeMXv2bCMkJMRISUmxLevWrZsxduxYwzAyd16l/y5bv369rU3Lli2N6dOn217f6XesYRjGF198YQQGBtr+j9mlSxfjpZdeMqpXr25cvnzZMAzD6N27t/HCCy+Y+RbgLjBFHE4rNTVV+/fvz3CH09atW2doGxwcLE9PT9vr3bt36+rVq2rfvr1SUlJsfxo3bqxr167p0KFDkqTt27crODhYPj4+tjYuLi6qX7++9u3bZ3eM+vXry93d3fa6cuXKSk5OztZ0ISAvuHLlivbv36927drZLQ8NDZUk/fLLL7ZlLVq0yLD9kSNH9NRTT6lx48aqVq2aAgICdPTo0QzT7lxcXNSoUSPb63LlyqlAgQI6ffq0JOngwYNKTEzMcG7/+/X27dtVuHBhNWzYMMN5vX///gyXfwD3osKFC6tWrVqSpISEBO3atUvt27dXamqq7ZyoWLGiSpcubfs9tnfvXnl5edmdh15eXmrcuLFD+gA4Wo8ePXT27Fnb5Up//vmnfv/9d/Xo0SPT59WdZPZ3bP369ZWYmKi9e/cqLi5OBw8eVN++fVWoUCHt2rVLiYmJ2rdvn+rVq2fiO4C7wbwfOK0LFy4oJSUlw3SYG6dt32rZxYsXJUndunW76b7/+ecfW7s9e/YoICAgQ5sKFSrYvfb29rZ7nR62b7yOBnAm8fHxMgwjw/nj5eUld3d3xcbG2pb9u83ly5c1aNAg+fr6auLEiSpTpozy58+vKVOmZDgnChQoYPfhlCS5ubnZ2p09e1aSbNPFb3XMixcv6tKlSzc9X9P3U6pUqTt1G3BqxYoVs/07Li5OqampmjVrlmbNmpWhbfrvujNnztx0aunNfp8C94Ny5cqpSZMm+uKLL9SiRQutWLFC5cqVU8OGDXXmzJlMnVd3ktnfsRUqVFDJkiX1008/KT4+XkWLFlXlypVVp04d/fzzz3J3d1dycrLq169/9x2HKQjYcFq+vr7Kly9fhhs63GzE2GKx2L328fGRJIWHh9/0P9zlypWztWvatKntpk03+ncgAO41Xl5eslgsGc6x+Ph4JSUl2c4jKeM5tmfPHp06dUoLFixQ1apV7bbNasgtXry4pOsBumTJkrbl/z7XfXx85Ovrq4ULF950P1ybhvvBjedi+jk8bNgwtWnTJkPb9A+tSpQocdObIzEDC/eznj17avz48Tp9+rQiIyPVv39/WSyWTJ9Xd5KV37Hp12HHx8erbt26tmVfffWV3NzcVLZsWZUuXfouegszEbDhtFxdXVWtWjVt2rRJAwcOtC3/+uuv77htUFCQPDw8dOrUKbVt2/aW7Ro3bqzVq1ercuXKdlPMgftBwYIFVa1aNUVFRemxxx6zLV+/fr0kqW7durY78v9b+qO63NzcbMt27dqlkydP6sEHH8xSHQ8++KDy58+vr7/+2i6s//tcb9y4sd5//325ubnZtQPuV56enqpdu7aio6MVGBh4y3aBgYGKj4/Xjh07bNPE4+Pj9f3336tw4cK5VC2Qt7Ru3Vre3t4aN26cYmNj1b17d0mZP6/uJDO/Y9PVq1dPr7/+ui5evKj//Oc/kq4H7LfffluGYTA9PI8hYMOpPfnkkxoxYoSmTJmi9u3b648//tCXX34pSbY7Gd+Mt7e3Ro0apTfeeEOnTp1SgwYN5OrqqpiYGG3atElhYWHy8PDQY489psjISD366KMaMGCAypQpowsXLujXX39VyZIl7X4gAveip59+Wk899ZTGjx+vLl266OjRo5o9e7batWsnq9WqnTt33nS72rVry9PTU9OnT9cTTzyh06dPKywszG4EOrOKFCmiPn366L333lP+/Plt/yFJv5Y7/Vxv0qSJWrZsqSFDhmjIkCGyWq1KSEjQ4cOHdfz4cb3yyivZfh8AZ/Xcc89p4MCBGjNmjDp27Chvb2+dOnVK33//vbp3767g4GA1a9ZMAQEBevbZZzV+/Hh5eXlp4cKFKlSokKPLBxzGzc1NXbt21aJFixQSEmI3QpyZ8yoz7vQ7Nl39+vV19epV/f7777Zp6dWrV5e7u7t2795tC93IGwjYcGqtW7fWiy++qAULFmj16tWqVauWXnzxRQ0aNOiO/zEYNGiQSpYsqSVLlmjZsmXKly+fKlSooBYtWthG3YoUKaLly5drzpw5evPNN3Xp0iUVLVpUtWrVuu3IN3CvaN26tebOnav58+drxIgRKly4sHr16mX36JKbKVasmObOnavXX39dI0aMUMWKFTV9+nS9//772apj3LhxSklJ0cKFC5WWlqa2bdvqiSee0EsvvSQvLy9bu3nz5mnhwoX65JNPdPLkSXl5eenBBx+0jTwA95s6dero448/VlhYmCZNmqTk5GSVKlVKDRs21AMPPCDp+rTyd955R9OmTdPUqVPl7e2t/v3769y5c9q0aZODewA4Ttu2bbVo0aIMATYz51VmZPZ3bJUqVeTr66u0tDT5+/tLuj6Ts06dOtq2bRsj2HmMxTAMw9FFAGb6/PPPNWXKFG3atMl2LTWAe8+zzz6rX375RZs3b3Z0KQCAe9DcuXP18ccfa9u2bdx7B5nGCDac2qVLlxQeHq6GDRuqYMGC2rdvn9577z21bt2acA3cQ3788Uft2rVLAQEBSktL0zfffKPIyEhNnDjR0aUBAO4x0dHROnr0qJYtW6a+ffsSrpElBGw4tXz58ikmJkZr1qxRfHy8ihQpoocffljjx493dGkATOTp6alvvvlGERERSkxMVNmyZTVx4kTugwAAMN20adO0Z88eNW3aVMOGDXN0OXAyTBEHAAAAAMAEt77NMgAAAAAAyDQCNgAAAAAAJiBgAwAAAABgAgI2AAAAAAAmIGADAAAAAGACAjYAAE7EarUqLCzM0WXkWSdOnJDVatXKlSsdXQoA4D5EwAYAII/46KOPZLVa1bNnz1w97uHDhxUWFqYTJ05kqn1YWJisVqsuXLiQw5UBAOBcCNgAAOQRkZGRKlu2rPbu3avjx4/n2nEPHz6s8PBwnTx5MteOCQDAvYiADQBAHhATE6Pdu3dr0qRJ8vX1VWRkZI4fMzExUWlpaTl+HAAA7hcEbAAA8oDIyEj5+PioefPmateuXZYC9unTpzVp0iQ1btxYNWrUUMeOHfXFF1/Ytdm5c6esVqvWrl2r2bNnq2nTpqpVq5aWLl2q0aNHS5IGDBggq9Uqq9WqnTt33nWfjhw5olGjRqlBgwYKDAxU9+7dtWnTJtv6ffv2yWq1atWqVRm23bZtm6xWq7Zs2ZKlft7M2bNnNWnSJDVr1kw1atRQSEiInnzyyUxPiQcAILPyOboAAABwPWC3bdtW7u7u6tSpkz755BPt3btXNWvWvO12586dU69evWSxWNSvXz/5+vpq69atmjx5si5fvqzHHnvMrv0777wjNzc3DR48WElJSQoJCVH//v314Ycfavjw4apUqZIkqXLlynfVn0OHDqlPnz4qWbKkhg4dKk9PT61fv15PPfWUwsLC1LZtWwUGBqp8+fJav369unXrZrf9unXr5OPjo5CQkGz180YjR47U4cOH9eijj6ps2bK6cOGCtm/frn/++UflypW7q34CAHAjAjYAAA7222+/KTo6Wi+88IIkqW7duipVqpQiIyPvGLBnz56t1NRURUZGqkiRIpKkPn36aOzYsQoPD1fv3r1VoEABW/vExEStWLHCblm9evX04YcfqnHjxgoODjalT6+88opKly6tFStWyN3dXZLUt29f9enTR2+++abatm0rSQoNDdXixYsVGxsrHx8fSVJSUpK+/vprtW3bVm5ubtnqZ7q4uDjt3r1bzz33nAYPHmxbPmzYMFP6CQDAjZgiDgCAg0VGRqpYsWK2cGuxWBQaGqp169YpNTX1ltsZhqGNGzeqVatWMgxDFy5csP0JCQlRfHy8fv/9d7ttunbtetMgaqZLly7phx9+UIcOHXT58mVbTRcvXlRISIiOHTum06dPS7oesJOTk7Vx40bb9tu3b1dcXJxCQ0Oz3c90BQoUkJubm3788UfFxsbmaL8BAGAEGwAAB0pNTdXatWsVHBxsd01wzZo1tXjxYu3YscM2TfrfLly4oLi4OC1fvlzLly+/ZZsb5caU6L/++kuGYWju3LmaO3fuTducP39eJUuWVNWqVVWpUiWtX7/e9niydevWqUiRImrYsKGk7PUznbu7u8aPH6/XXntNTZo0Ua1atdSiRQt17dpVxYsXN6G3AAD8HwI2AAAO9MMPP+js2bNau3at1q5dm2F9ZGTkLQN2+h3Au3TpkuEa5nRWq9XudU6PXt9Y16BBg9S0adObtqlQoYLt36GhoXrvvfd04cIFFSpUSJs3b1bHjh2VL18+u/1lpZ83euyxx9SqVSt9/fXX+u677zR37lwtXLhQH3zwgapXr56tPgIAcDMEbAAAHCgyMlJFixbV1KlTM6z76quv9NVXX2n69Ok3Dca+vr4qWLCg0tLS1Lhx42zXYLFYsr3tzZQvX16S5Obmlqm6QkNDFR4ero0bN6pYsWK6fPmyOnbsaFtvRj8rVKigQYMGadCgQTp27Ji6du2qxYsX680338zW/gAAuBmuwQYAwEGuXbumjRs3qkWLFmrfvn2GP/369dOVK1e0efPmm27v6uqqdu3aacOGDTp48GCG9beaNv1vHh4ekqT4+Pjsd+YGRYsWVYMGDbR8+XKdOXPmjnVVrlxZ/v7+WrdundatW6fixYurfv36tvV308+EhAQlJibaLatQoYIKFiyopKSkrHYNAIDbYgQbAAAH2bx5s65cuaJWrVrddH3t2rXl6+ur1atX22749W/jxo3Tzp071atXL/Xs2VNVqlRRbGysfv/9d+3YsUM//vjjHeuoVq2aXF1dFRERofj4eLm7u6thw4YqWrTobbf773//m2Fk3cXFRcOHD9e0adPUt29fde7cWb169VL58uV17tw57dmzR6dOndLq1avttgsNDdW8efOUP39+9ejRQy4u9mMA2e3nsWPH9Nhjj6l9+/aqUqWKXF1d9fXXX+vcuXN2o+QAAJiBgA0AgIOsXr1a+fPnV5MmTW663sXFRS1atFBkZKQuXrxoezzVjYoVK6bPP/9c8+fP11dffaVPPvlEhQsXVpUqVTR+/PhM1VG8eHFNnz5dCxYs0OTJk5WamqqlS5feMWAvWLAgwzJXV1cNHz5cVapU0YoVKxQeHq5Vq1bp0qVL8vX1VfXq1fXUU09l2C40NFRz5sxRQkKCOnToYFo/S5UqpY4dO2rHjh1avXq1XF1dValSJc2ZM0ft2rXLxLsDAEDmWQzDMBxdBAAAAAAAzo5rsAEAAAAAMAEBGwAAAAAAExCwAQAAAAAwAQEbAAAAAAATELABAAAAADABARsAAAAAABMQsAEAAAAAMAEBGwAAAAAAExCwAQAAAAAwAQEbAAAAAAATELABAAAAADABARsAAAAAABMQsAEAAAAAMMH/A09uUcrsfPWMAAAAAElFTkSuQmCC\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Heatmap: Actual vs Refined Alerts\n",
        "def plot_mismatch_heatmap(df):\n",
        "    # Confusion matrix\n",
        "    mismatch_matrix = pd.crosstab(df['alert'], df['refined_alert'])\n",
        "\n",
        "    plt.figure(figsize=(8, 6))\n",
        "    sns.heatmap(mismatch_matrix, annot=True, cmap=\"coolwarm\", fmt='d', cbar=True)\n",
        "    plt.title('Heatmap of Actual vs Refined Alerts')\n",
        "    plt.xlabel('Refined Alert')\n",
        "    plt.ylabel('Actual Alert')\n",
        "    plt.tight_layout()\n",
        "    plt.show()\n",
        "\n",
        "plot_mismatch_heatmap(df)\n",
        "\n",
        "# Map visualization\n",
        "alert_colors = {\n",
        "    'green': 'green',\n",
        "    'yellow': 'yellow',\n",
        "    'orange': 'orange',\n",
        "    'red': 'red'\n",
        "}\n",
        "\n",
        "df['alert_color'] = df['refined_alert'].map(alert_colors)\n",
        "gdf = gpd.GeoDataFrame(df, geometry=gpd.points_from_xy(df.longitude, df.latitude))"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 601
        },
        "id": "ii0SvYjWaseO",
        "outputId": "3915ff03-e3f5-4d0a-f6c1-e187f4890d48"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 800x600 with 2 Axes>"
            ],
            "image/png": 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4Oly7di1u3ryJU6dO4dy5c5gzZw5+/PFH/P777zAxMSnxtoio4mByTvSW7OzsIAgC6tSp89pq3YMHDxAZGYmlS5eib9++iuUXLlxQGVvWSW2Rv/76C8nJyQgICECrVq0Uy181w0d8fDwyMjKUkrCiimrt2rVfuZ/atWujoKAAT548gYODg2L5y5cvkZKS8trHvoogCAgKCoKHhwc++OADlfXff/89goKC8N577yl+JSia2eRVXnWci6rB/53//NmzZypjjx49ir59+2LWrFmKZdnZ2aWqmhfp3r079u7di9DQUDx+/BiCIKB79+4q4+zs7DB69GiMHj0akZGR6Nu3L3744QcsX75crf2ZmJhg0qRJmD17Ng4fPowePXoojqGpqSk8PT1L/VxKw8rKCiYmJigoKHjjvmvXro0HDx5AEASlv2dERESJ9hUUFIRq1aphwYIFKuuOHz+O48ePY9GiRcUm1erE+Tpv+v/dzc0Nbm5umDZtGoKCgjBjxgwEBweX+8WSiKh8sOec6C117doVOjo6CAgIUKmUCoKgaIEpqmr/e4wgCPj5559VtlnU91vWF8cpLoacnBzs3Lmz2PF5eXlKP9fn5OTg999/h5WVFZo0afLK/RRdSOinn35SWv7jjz8qrVfHtWvXEBMTg379+qFbt24qN39/f1y+fBlxcXGwsrJCq1atsHv3bpWE+t/Pveg4/zeRNjU1haWlJa5evaq0vLjjVFwVePv27a/tVX4TT09PWFhYIDg4GIcPH4arq6siWQaAzMxMZGdnKz3Gzs4OJiYmak8hWKRXr16oUaMGAgMDAQBNmzaFnZ0dfvjhB6Snp6uMV2dGG3Xp6OjAz88PR48eLfYL1r/37e3tjfj4eBw5ckSxLDMzE7t27XrjfrKysnDs2DF07Nix2NfUkCFDkJ6ejpMnT751nK/zqtehXC5XeU8p+hWjtH9nIhI/Vs6J3pKdnR2mTp2KFStWICYmBp07d4aJiQmio6Nx4sQJDBw4EGPGjIG9vT3s7OywdOlSxMXFwdTUFEePHi02AS9KfBcvXgwvLy/o6OigR48ebx2ru7s7zM3NMWvWLAwbNgwSiQT79+9/ZftF9erVERgYiJiYGNSrVw/BwcG4e/cuvvrqK+jp6b1yP40aNcK7776L33//HSkpKWjVqhVu3bqFvXv3onPnzmjTpo3asQcFBUFHRwcdO3Ysdr2Pjw9WrVqF4OBgjBo1CvPmzcP777+Pd999F4MGDUKdOnUQExOD06dPY//+/QD+/zivWrUK/v7+0NPTQ6dOnWBsbIwBAwZg8+bNmDt3Lpo2bYqrV68WW43t2LEj9u/fD1NTUzRo0AA3b97ExYsXYWFhofZzLKKnp4cuXbrg0KFDyMzMVOn7joyMxMiRI9GtWzc0aNAAOjo6OHHiBF6+fFnq14menh6GDx+OZcuW4ezZs/D29sbixYsxduxY9OzZE/369YOtra1iKktTU1Ns3Lix1M/xTT799FNcvnwZAwcOxIABA9CgQQPI5XLcvn0boaGhihNmBw4ciF9++QUzZ87E7du3YWNjg/3795eofeTkyZNIT0+Hj49Psevd3NxgZWWFAwcOKE7GLW2cr+Ps7AwdHR0EBgYiNTUV+vr6aNOmDYKCgvDrr7+ic+fOsLOzQ3p6Onbt2gVTU1N4e3u/cbtEVDExOScqA+PGjUO9evWwbds2xRzeNWrUQLt27RQf/Hp6eti4cSMWL16MTZs2wcDAAF26dMGQIUPQp08fpe117doVw4YNw6FDh3DgwAEIglAmybmlpSU2btyIpUuXYvXq1ZDJZOjduzfatm2LMWPGqIw3NzfHt99+i8WLF2PXrl2wtrbGggULSjQTxuLFi1GnTh3s3bsXJ06cgLW1NcaPH49JkyapHXdubi6OHDkCd3f3Vya9jo6OqFOnDg4cOIBRo0ahUaNG2LVrF9asWYNff/0V2dnZqFWrllJ7iKurK6ZMmYLffvsN586dQ0FBAUJCQmBsbIyPP/4YiYmJOHr0KA4fPgxvb29s2bJFcZJmkblz50IqlSIoKAjZ2dlo3rw5fvzxR3z44YdqP89/8/f3xx9//AGJRKLS0lKjRg306NEDoaGhOHDgAHR0dGBvb4/Vq1fDz8+v1PscNGgQNmzYgMDAQHh7e8PDwwO///47vv/+e+zYsQMZGRmwsbFRzG+uSdbW1vjjjz+wfv16HD9+HL/++issLCzQoEEDzJgxQzHOyMgI27Ztw1dffYUdO3bA0NAQvXr1gre39xv/BgcOHICBgQHatWtX7HqpVIqOHTsiKCgISUlJijnYSxPn69jY2GDRokXYtGkT5s6di/z8fPz8889o3bo1bt26heDgYLx8+RJmZmZwdXXF8uXLlX5JIaLKRSKU5owlIqr0hg0bhqSkJBw8eFDboRAREVUZ7DknIiIiIhIJJudERERERCLB5JyIiIiISCTYc05EREREJBKsnBMRERERiQSTcyIiIiIikWByTkREREQkElX2IkSH9Jy0HQJVQCvf267tEKiC2l5zlbZDoApoUPhEbYdAFdS5/e21HYJCeeRcPXLva3wf5YWVcyIiIiIikaiylXMiIiIi0jyJnkTbIVQorJwTEREREYkEK+dEREREpDFSXVbO1cHKORERERGRSLByTkREREQaI9FjLVgdPFpERERERCLByjkRERERaQx7ztXDyjkRERERkUiwck5EREREGsN5ztXDyjkRERERVUl79uyBk5OTym358uVK4/744w/4+fnBxcUFvXv3xqlTp1S2lZqaijlz5qB169Zwd3fH5MmTER8fr3ZMrJwTERERkcZUhJ7zLVu2wMzMTHHf1tZW8e9Dhw5h/vz5+Oijj9CmTRsEBwdj0qRJ+OWXX+Dm5qYYN3XqVDx69AgLFy6EgYEBVq9ejbFjx2L37t3Q1S15ys3knIiIiIiqtCZNmsDKyqrYdWvXrkWPHj0wdepUAECbNm3w4MEDrF+/HoGBgQCAGzdu4Pz589i6dSu8vLwAAPXr14e/vz+OHTsGf3//EsfCthYiIiIi0hiJnkTjN02JiopCZGQkunfvrrTc398foaGhyMnJAQCcPXsWMpkM7dq1U4yxt7eHs7Mzzp49q9Y+mZwTERERUZXWs2dPODs7w9fXF5s2bUJ+fj4AIDw8HEBhFfzfHBwckJubi6ioKMW4+vXrQyJR/qJgb2+v2EZJsa2FiIiIiDSmPHrOfX19X7s+JCSk2OU2Njb45JNP0KxZM0gkEpw8eRKrV69GXFwcFixYALlcDgCQyWRKjyu6X7Q+JSVFqWe9iLm5Of755x+1nguTcyIiIiKqktq3b4/27dsr7nt5ecHAwAA//fQTPvroI63ExOSciIiIiDRGoqP5yvmrKuOl0b17d/zwww+4e/cuzM3NARROk2hjY6MYk5KSAgCK9TKZDLGxsSrbksvlijElxZ5zIiIiItIYqY5E4zdNsbe3BwCVvvHw8HDo6emhbt26inEREREQBEFpXEREhGIbJcXknIiIiIjof4KDg6Gjo4PGjRujbt26qFevHo4cOaIypm3bttDX1wcAeHt7Qy6XIzQ0VDEmIiICd+7cgbe3t1r7Z1sLEREREWmMRCreixCNGTMGHh4ecHJyAlDYHrNr1y4MHz5c0cbyySefYMaMGbCzs4OHhweCg4MRFhaGHTt2KLbj7u4OLy8vzJkzBzNnzoSBgQFWrVoFJycndO3aVa2YmJwTERERUZVUv3597N69G7GxsSgoKEC9evUwZ84cDBs2TDGmZ8+eyMzMRGBgIDZv3oz69esjICAA7u7uSttavXo1lixZggULFiAvLw9eXl6YN2+eWlcHBQCJ8N/mmCrikJ6TtkOgCmjle9u1HQJVUNtrrtJ2CFQBDQqfqO0QqII6t7/9mweVk4stW2l8H55Xr2h8H+WFPedERERERCLBthYiIiIi0hhNzqZSGbFyTkREREQkEqycExEREZHGiHm2FjFi5ZyIiIiISCRYOSciIiIijWHPuXpYOSciIiIiEglWzomIiIhIYySsnKuFlXMiIiIiIpFg5ZyIiIiINEYiZS1YHTxaREREREQiwco5EREREWkM5zlXDyvnREREREQiwco5EREREWkM5zlXDyvnREREREQiwco5EREREWkMe87Vw8o5EREREZFIsHJORERERBrDec7VI+rkPCEhAdnZ2SrLa9WqpYVoiIiIiEhdbGtRj+iS86SkJCxevBjHjh1DXl6e0jpBECCRSHD37l0tRUdEREREpDmiS87nzZuHK1euYPz48XBwcICenp62QyIiIiKiUuJUiuoRXXJ++fJlzJs3D3379tV2KERERERE5Up0yblMJoOlpaW2wyAiIiKiMsCec/WI7vTZMWPGYPv27Sr95kRERERElZ3oKufh4eF4/PgxunTpglatWkEmk6mMmTdvnhYiIyIiIiJ1cSpF9YguOT916hQkksKfP65evaqyXiKRMDknIiIiokpJdMn5yZMntR0CEREREZUR9pyrh78zEBERERGJhCiT88TERCxfvhwjRoyAn58fHj58CAD46aefcPPmTe0GR0REREQlJpFKNH6rTESXnN++fRt+fn4IDg5GjRo18PTpU+Tk5AAA4uLisG3bNu0GSERERESkIaLrOV+yZAnc3Nzw/fffQyKRYP/+/Yp1zZo1w+HDh7UYXcVh5d0abUO2F7vugtdAJF/+GwBg3bkdag30h0UrV5g6OyAz6jlONfQt9nEGNWzg+MUnsPZtB4Ma1sh6Fo+4oBA8WrIRuYnJmnoqJBKGBlIM6lUTjRqYoFEDU8hMdbFsQziOnnn5ysfo6EgQuLQp3qljhI07nuKPg7HlGDFpm2nnvpD1GITc51F4sezzfy3vA8MmLaBjbQupgSHykxOQdecm0o7vRUF6qsp2dKpVh1n3gTBwbAqpgRHy5QnIvHkJqcG7yvPpkJbVq2uM0e/bwcnBFFaW+sjKLkBkVAZ+3RuNi1cStR0evUZlq2xrmuiS81u3bmHdunXQ09NDfn6+0jorKyskJCRoKbKKKWLdz5BfvaW0LP3RU8W/a73fE7UG+EN+4w6ynsW/cjs6JsbwPPcbdEyM8WTjTmRFP4fMtRHqTRyCah09cL51P0AQNPY8SPvMZboY3r824l5kI/xJBtyaqE5z+l/v+tmiurV+OURHYiM1t4Jp5z4oyM5SWadXpz5ynz1B5o1QCNmZ0LWtDeM2PjBs7IYXy2dDyMlWjNWt9Q6sJ81HvjwJ6acPoSA9DTqW1aBjUa08nw6JQI3qBjA20sHhk/FISMyBgYEUHTytsXReEyxb/xBBx/jlnyoH0SXnRkZGSEtLK3bds2fPYGFhUb4BVXCJ568ids/RV66/P28Vbo2fDyEvDy33bYRZk4bFjrPt5QPjenVwpfc4xB8+o1iekyiH4/xJkDVrhJSbd8s8fhKPxKRc9B9/A0nyXDjam2DDN01eO95Cpoth79XCbweeY9TAOuUUJYmFee8hyH3yCJBKITUxU1qXtG21yvicyIewGjUNBk2aI+tGaOFCiQSWQyYiL+4ZXn7/FZCbWw6Rk1hdupaES9eSlJbtCX6GLSvcMahPbSbnIsZ5ztUjuqPl5eWFDRs2ICnp//8HlEgkyMrKws8//4wOHTpoMbqKScfUBBIdnWLXZT+Ph1CCq7HqykwLx8cr/3KRHfsCAJCfma3yGKpccvMEJMlLnhx9+H5dRD3Pwolzr257ocpJ374RDJt5QL7v5xI/Jj+x8L1EamSiWGbg5Aq9WnZIPbobyM2FRE8fkPDncfp/BQVA/MtsmJqIrtZIVGqiezV/9tlneP/99+Hn5wcPDw9IJBKsXr0ajx49gkQiwdSpU7UdYoXSbMsS6JqZoCAvD0nnr+HurGWQX/tH7e0knrsCIT8fjVfOxd3Pv0VWdCzMXJzQYNZHiN13HOn3wzUQPVVUTg4m6NrBGlO/uAs2O1UxEgnM+41ExuVTyHse9dqhUhMzQCqFrk0NyHq+DyE/HzmP7ijWGzg2BQAIeXmwnv419OvaQ8jLRVbYFSTv/gFCRrpGnwqJk6GBFAb6UpiY6MKrtRU8Wljh5PkX2g6LXkOqwy/V6hBdcm5ra4t9+/Zh27ZtuHjxIuzs7JCcnIxevXph1KhRbGspISE3F893H0H8kbPIeZkEM2cH2E8fg7anfsFF78Fqt6Ck3X2MWxMWwHnp52h3/v9Pwor6eQ9ujeMVW0nZJ6PewenQRNx5mAZbG/acVyXGnp2hY2WN1A1fv3ac1MwcNb7cqLifn5SApB0ByIt/plimY10DAGA5Ygqy7/2NtBP7oVfLDqad+6CaZTW8XLtQE0+BRO7j0fbo260mACA/X8DZSy+xatNjLUdFVHZEl5wDgEwmw+TJkzF58mRth1JhJYXeQFLoDcX9+IMn8XzPUXhfPwCnxZ/iSs8P1d5mVkwckq+EIf7IWWQ+iYGVV0vUmzQMuS+TcHfmsrIMnyowvw7WqF/XCItWPdJ2KFTOJMamkHUfgNRjxc+68m8FGWl4ueFrSHT1oFe7HoxcW0Oib6g0RmpQeD836jGSf1kPAMgK+wtCbg5kPd+HvmNT5DxQ/5dAqtj+OBCD0xdfwtpKHz7trCGVSqCny8qsmHG2FvWIMjkHALlcjocPH+L58+fw9vaGubk5srOzoaenBylPLCiVjMdPEXsgBDXe7QpIpYXNeiVk6dkcLfdvxEWvQYq2mLgDIchLSUPD+ZMQtW030u6yclHVGRtJ8eH7dbArKBYvEnK0HQ6VM5n/QBRkpCH93JE3D87PVyTW2XduIPvhP7CZ8iUK0uTIvlNYWBByC19DmdcvKj0089qFwuS8niOT8yroaUwmnsZkAgCOnorHioVN8e28Jhj/2U3tBkZURkSX5QqCgJUrV6Jjx44YOnQoPv/8c0RHRwMAJk2ahO+//17LEVZsWdGx0DHQh66JkVqPsxs7CDlxCSr96nEHT0IilcKyrXtZhkkV1MCeNaGrK8Xp0ATY2ujD1kYfNlaFbS1mJrqwtdGHLnsPKyUd6xowbuuL9HNHoSOzhI6lNXQsrSHR1YNER6fw38Ymr3x8buRD5MuTYNTCS7EsP6VwYoCCVLnS2Py0FACA9DXbo6rj9MWXaOxohrq11ftco/IjkUo1fqtMRFc5X716NXbs2IGZM2eibdu28PPzU6zz8fHBH3/8gUmTJmkxworNuH4d5GdmIS8tQ63HGVSvBuiovvgleoUvIYmu6F5KpAXVrfUhM9XFDytcVdYNebcWhrxbC+Nm/oPHT9R7/ZH46ZhbQiKVwrzfSJj3G6my3nbBOqSdOYyU18zgItHVg9Tw/xOs3KgIoG3hnOn/3RcAFPwvSaeqzUC/8LPJ1Lj4WclI+9jWoh7RZVR79+7F9OnTMXjwYJWLENnZ2SEq6vVn/1MhfWtL5LxUng/WzNUJtr18EH/knNoXDEp/GAmbru1h5d0aiWf/UiyvNagnACDl5p1XPZSqkL2H43DhivLrzsJcD9PH1seR0y9w8WoSYuM57WZllBcbjcStK1SWm/kPhMTAECl7f0ZeQhwk+gaAIChaVooYuraG1MQUuVH/P/NT1j9XIbw7HMYeHZB55YzifcvYoxMAIPu+8gXWqHKzMNdD8n+mc9XRkaBbp+rIys5HZBS/9FPlILrkPDk5GQ4ODsWuy8/PR14J5uQmwH3nahRkZiEp9AayXyTA1LkB7D4ciPyMLNyfu1wxzszFCbY9fQAAJg7vQM/cDA1mTwAApITdQ/yhUwCAyO9/QZ0R/dBq30ZErt+OzKfPYNW+FWq/3wsvjp9H8l9h5f8kqdz18asOU2NdVLPUAwC0aW4B6/+1rew7EoeHkRl4GKn8AVk0W0tkdCYuXE0u13ip/BSkpyLrn6sqy006dIcUUKzTrfUOqk2Yi6ybociLfwahoAD6de1h1NILeQnxSDv7//3qBalypB7fB5n/QFiNn4WsW1ehV8sOxm18kHHtglIiT5XfZxMbwMRIFzdvy/EyMRtWFvro0qE66tU1RsDWcGRmlfw8KipfrJyrR3TJeb169XDhwgW0bdtWZd1ff/2Fhg2Lv4IlKYs7cAK13u+F+lNHQldmipwXSYjddxwPvwpAxuOninHm7o3h9OVUpccW3Y/6eY8iOU9/EIHzHu/BadFU1P6gNwxqWCPrWTwer9iKB4vWltfTIi0b2LMmatgYKO57e1jB26Ow5eDE+ZdIz8x/1UOJAAAF8kRkhV2GfsMmMGrlDYmODvITXyL9/DGkHd8HIUP5CtFpx/eiIDMdpu39YN53OPJTk5F2Yh9Sj+7R0jMgbTl5/iV6dLZF3+41YW6mi4zMfNx/nIaNP0fgwl+J2g6PqMxIBEHN/gYN27NnD+bPn4+xY8eiW7du6Nu3L9avX4/Y2FgsW7YMS5Ysgb+//1vv55CeUxlES1XNyve2azsEqqC211yl7RCoAhoUPlHbIVAFdW5/e22HoPD0o34a34fdxsrzhV10lfN+/fpBLpdj3bp12LRpEwDg448/hpGREaZOnVomiTkRERERkRiJKjkXBAFyuRxDhgzBwIEDcePGDSQlJcHc3Bzu7u4wMzPTdohEREREpAb2nKtHVMl5bm4uPD098f3336Njx47w8vJ684OIiIiIiCoJUSXn+vr6qFGjhsoUikRERERUMVW2iwRpmuiO1gcffIBt27YhO5tzIRMRERFR1SKqyjkAPH/+HBEREejYsSNat24Na2trSCTKvUrz5s3TUnREREREpBYJe87VIbrk/NSpU9DXL7xoya1bqld/k0gkTM6JiIiIqFISXXJ+8uRJbYdARERERGWEs7WoR3TJ+b59+165TiKRwMzMDI0aNUKtWrXKLygiIiIionIguuR81qxZih7zf1+89N/LJBIJOnfujGXLlsHIyEgrcRIRERHRm3G2FvWI7mjt3bsXdnZ2mDx5Mg4cOIALFy7gwIEDmDRpEurWrYsff/wRX375JS5evIgVK1ZoO1wiIiIiojIjusr58uXLMWDAAHz44YeKZdWqVYOjoyP09fWxceNG/PTTT0hKSsKOHTt4cigRERGRiLHnXD2iq5xfu3YNzs7Oxa5r3Lgx/v77bwCAq6srEhMTyzM0IiIiIiKNEl1ybmVlhaNHjxa77siRI7CysgIApKenQyaTlWdoRERERKQmiVSq8VtlIrq2lnHjxmHhwoWIjo5Gp06dYGVlhcTERISEhODSpUtYtGgRAODSpUtwdXXVcrRERERERGVHdMn54MGDYWNjg40bN2Lp0qXIy8uDrq4unJ2d8f3338PHxwcAMGnSJOjqii58IiIiIvoX9pyrR5TZra+vL3x9fVFQUIDExERYWVlB+p+fLMzNzbUUHRERERGRZogyOS8ilUphbW2t7TCIiIiIqJRYOVePqJNzIiIiIqrgKtkJm5rGo0VEREREJBKsnBMRERGRxkgkbGtRByvnREREREQiwco5EREREWlMZbtIkKbxaBERERERiQQr50RERESkMZxKUT2snBMRERERiQQr50RERESkOew5VwuPFhERERGRSLByTkREREQaw55z9bByTkREREQkEqycExEREZHGSCSsBauDR4uIiIiISCRYOSciIiIizWHPuVpYOSciIiIiEglWzomIiIhIYySc51wtPFpERERERCLByjkRERERaQznOVcPK+dERERERCLB5JyIiIiINEci1fytjKSnp8Pb2xtOTk64deuW0ro//vgDfn5+cHFxQe/evXHq1CmVx6empmLOnDlo3bo13N3dMXnyZMTHx6sVA5NzIiIiIiIA33//PfLz81WWHzp0CPPnz0f37t0RGBgINzc3TJo0CTdv3lQaN3XqVFy4cAELFy7E8uXLERERgbFjxyIvL6/EMbDnnIiIiIg0pqL0nD9+/Bg7d+7EzJkz8cUXXyitW7t2LXr06IGpU6cCANq0aYMHDx5g/fr1CAwMBADcuHED58+fx9atW+Hl5QUAqF+/Pvz9/XHs2DH4+/uXKA5WzomIiIhIc6RSzd/KwOLFizF48GDUr19faXlUVBQiIyPRvXt3peX+/v4IDQ1FTk4OAODs2bOQyWRo166dYoy9vT2cnZ1x9uzZEsfB5JyIiIiIqrQjR47gwYMH+Pjjj1XWhYeHA4BK0u7g4IDc3FxERUUpxtWvXx8SifIvBfb29optlATbWoiIiIhIY/6brGqCr6/va9eHhIS8cl1mZia+/fZbTJs2Daampirr5XI5AEAmkyktL7pftD4lJQVmZmYqjzc3N8c///zz+ifwL6ycExEREVGVtWHDBlSrVg3vvfeetkMBwMo5EREREWlSGfWEv87rKuOvExMTgx9++AHr169HamoqACAjI0Px3/T0dJibmwMonCbRxsZG8diUlBQAUKyXyWSIjY1V2YdcLleMKQkm50RERERUJUVHRyM3Nxfjxo1TWTd8+HA0a9YMK1asAFDYU25vb69YHx4eDj09PdStWxdAYW95aGgoBEFQauWJiIiAo6NjiWNick5EREREGiPmqRSdnZ3x888/Ky27e/culixZgkWLFsHFxQV169ZFvXr1cOTIEXTu3FkxLjg4GG3btoW+vj4AwNvbG99//z1CQ0Ph6ekJoDAxv3PnDj788MMSx8TknIiIiIiqJJlMBg8Pj2LXNWnSBE2aNAEAfPLJJ5gxYwbs7Ozg4eGB4OBghIWFYceOHYrx7u7u8PLywpw5czBz5kwYGBhg1apVcHJyQteuXUscE5NzIiIiItIcScWff6Rnz57IzMxEYGAgNm/ejPr16yMgIADu7u5K41avXo0lS5ZgwYIFyMvLg5eXF+bNmwdd3ZKn3BJBEISyfgIVwSE9J22HQBXQyve2azsEqqC211yl7RCoAhoUPlHbIVAFdW5/e22HoJD2/SyN78N04rca30d5YeWciIiIiDRHxD3nYlTxf2cgIiIiIqokWDknIiIiIo2RVIKe8/LEo0VEREREJBJVtnL+XZ9t2g6BKqCF81y0HQJVUKO+m6ntEKgCEgrk2g6B6O2x51wtrJwTEREREYlEla2cExEREZHmSaSsBauDR4uIiIiISCRYOSciIiIizZGw51wdrJwTEREREYkEK+dEREREpDnsOVcLk3MiIiIi0hy2taiFX2WIiIiIiESClXMiIiIi0hhOpageHi0iIiIiIpFg5ZyIiIiINEfCWrA6eLSIiIiIiESClXMiIiIi0hwpZ2tRByvnREREREQiwco5EREREWmMhD3nauHRIiIiIiISCVbOiYiIiEhz2HOuFlbOiYiIiIhEgpVzIiIiItIc9pyrhUeLiIiIiEgkWDknIiIiIs2RsOdcHaycExERERGJBCvnRERERKQ5UtaC1cGjRUREREQkEqycExEREZHmcLYWtfBoERERERGJBCvnRERERKQ5vEKoWlg5JyIiIiISCVbOiYiIiEhz2HOuFibnRERERKQ5vAiRWvhVhoiIiIhIJFg5JyIiIiLN4UWI1MKjRUREREQkEqycExEREZHmsOdcLaycExERERGJhKgr54IgID4+HtWqVYOurqhDJSIiIqLicCpFtYjyaJ07dw4DBw6Ei4sLOnXqhPv37wMA5s+fjwMHDmg5OiIiIiIizRBdcn7w4EGMGzcOderUwRdffIGCggLFurp162LPnj1ajI6IiIiI1CKVav5WiYju2Xz//fcYMWIEVq5ciX79+imta9iwIR4+fKilyIiIiIiINEt0jdxRUVHo0KFDseuMjIyQmppazhERERERUalxtha1iK5ybmNjg/Dw8GLX3b9/H7Vq1SrniIiIiIiIyofokvOePXti3bp1CA0NVSyTSCR48OABtmzZgt69e2sxOiIiIiJSi0Sq+VslIrq2lkmTJuHhw4cYNWoULCwsAABjx45FYmIiOnbsiHHjxmk3QCIiIiIiDRFdcq6vr48NGzbg0qVLuHjxIpKSkmBubg5PT094enpqOzwiIiIiUgd7ztUiuuS8SJs2bdCmTRtth0FEREREVG5El5w/e/bsleukUilMTU1hampajhERERERUalVsnnINU10ybmPjw8kb/j5o3bt2hgxYgSGDRtWTlEREREREWme6JLz7777DitXrkS9evXg6+sLKysrJCYm4vjx43jy5AnGjh2LmzdvYsmSJQDABJ2IiIhIxAT2nKtFdMn51atX0b59e3z55ZdKy4cOHYr58+fj9u3b+O6772BqaoqdO3cyOSciIiKiSkN0TUDBwcHw8/Mrdl23bt1w/PhxAEDHjh0RHR1dnqERERERkbo4z7laRPdspFIp7t27V+y6u3fvQvq/kwp0dHRgaGhYnqERERERkbqYnKtFdG0tvXr1wpo1a5Cbm4tOnTopes5DQkKwYcMGDBo0CABw+/ZtODg4aDlaIiIiIqKyI7rkfObMmdDR0cGGDRuwZs0axXJ9fX0MGTIEM2bMAAA0b94cXl5e2gqzwjIylGJQ71po3NAMjRqYQmami28DHuHI6RcqY+1qG2HSyHpwaWSG3DwBl64nYf1PkZCn5GkhciovkY/+QeipINz/5woSXjyDiZkF7Bu6oM8Hk2Bb6x2lsc+jw7Hrx+V4fO8GdHT14NK8PQaM/BRm5laKMS/jYzB3Qo9i9/XhtG/RyqubRp8PaZdjfSN08bJCM2dT2FrrIyUtH/cep2Pbn7GIicsGUHh9ks7trNCupTka2BnBzFQHsS9ycPpyMv48HI/cXEHLz4LEQk9Xgg+H1INfJ1uYmericWQ6Nu+IxNWbSdoOjV6DJ4SqR3TJuZ6eHmbPno2JEyfiwYMHePHiBWxsbNCwYUNYWFgoxrVq1Up7QVZg5mZ6GDmwLmJfZOPxk3S4NzUvdpyNlT7WftkE6Rn5CPz1KYwMdTCoVy3Y2xnjo9m3kJfHD8vK6ujebXh07yZaeHZBnXcaQp6cgNOHf8PXnw3GzCXbUduuAQAgKSEOy+ePgZGxKfp+8AmysjJw/MDPiHn6ELO//QW6enpK223l1Q1Nm7dXWmbv6Fpuz4u0Y2APWzRuaIJzfyUjIjoTluZ66O1rjfVfOmLKlw/xJCYLBvpSzBhrhzuP0nHoVAKSU3Lh3MAEw96tAffGpvj828fafhokEnOnNkLHdtbYdSAG0c8y0d3XFsu/aIrJc/9G2J0UbYdHVCZEl5wXMTc3ZwKuAQlJOej34VUkJufCycEEm5YWnxwN6VcbhoZSjJsZhviXOQCAew/TsOKLxujW0QYHT8SXZ9hUjjr3GooxU5coJdctPbviy+kDcGTvDxgz5RsAwOHdW5CdlYm5y3bCyqYmAKB+g6ZY/eVHuHhqP7y79lfarp29M9p0KL6CTpXXniPx+HZDJvLy//8L/ZnLSdi0uBEG9ayOZZueIi9PwLSvHuDOowzFmMNnEhH3MgfD+9WEe2NT3LiTpo3wSUScG5qhc4fqWP/DY/y6t3BCiCMnY/FzQCtMGGmPCZ/f1G6A9GqVrCdc00SZnMvlcpw9exaxsbHIzs5WWieRSPDxxx9rKbKKLzdPQGJy7hvHebexQui1JEViDgDXbsnxNCYTnTyrMTmvxBwauakss631DmrVdUBsdIRi2fVLIXBt0V6RmAOAc7M2sK31Dq5dPK6SnANAdlYmdHR0VarqVHn9O+Eu8iwuB0+eZcGuVuFJ/Xn5QrHjLlyTY3i/mqhby5DJOaFjOxvk5QvYf+S5YllOroCDx5/joxH2qG5tgPiX2a/ZAlHFILrk/Pz585g8eTIyMjJgaGgIvf98iDM51zxrK31YWejj/uN0lXX3HqXBo7lF+QdFWiUIAlKSE1CrbuFJ2EkJcUiVJ+KdBo1VxtZr0BT/XD+vsvzgrk3Y/fMqSCQS2Nk7o+8Hk9DYzVPjsZM4Wch08SQm67VjrMwLP6JS0nieCwGO9qaIislARma+0vK7D1IBAA3rmzI5Fyv2nKtFdMn50qVL4eLigm+++Qa1a9fWdjhVUjXLwi9ECUk5KusSknJgbqYHPV0Jctl3XmVcPhuM5MR49B48EQAgT3oJADC3sFEZa25pjfQ0OXJzc6Cnpw+pRIrGzdrCzcMHFlbV8TIuGieCdmDt15Pw8azVcGnhXa7PhbTPx9MSNlb6+HlP7GvHDfC3RXpGPq6EpZZTZCRm1az0X/m5BADW1fTLOyQijRBdch4VFYVZs2YxMdciff3C3rDiZkjI+d8yA30pcvPyVdZT5RMbHYFftyyBvZMr2nbsBQDIzSmsThXXnqKnZ/C/MVnQ09OHlU1NTFmwQWlMmw49sXBqP/yxbSWT8yqmbk0DTBpWB3cepuPE+cRXjhvcszqaNzXDup+ikJ7B9xr63+dOboHK8pycwmVFn10kQlL+bdQhuqPVuHFjPH/+/M0DSWOK3uj09FR/htL/37LsHNU3SKp85Ekvse6bT2BkbIrxM5ZDqqMDANDTL0zA83JVz1/Izc3+35hXXyTMxMwcnp36IO5ZJJIS4jQQOYmRpbkuvpxuj/TMfHwVEIGCV/z41qG1BUa8VxOHzyTg4MmE8g2SRCs7pwB6eqppS1FSnsPPJaokRJecL1y4ENu3b8e5c+eQl8c+Q21ISCpMuKpZqv5EWM1SH/LUXLa0VAGZ6alY9/XHyExPxeR562FhVV2xztzSGgAgT1adH1+e9BImpubQ03v9T8yW1rYAgPRUeRlGTWJlbCTF4k/tYWqsg7nLHyMxufj39+ZNTDFjnB3++jsFa7dFlXOUJGYJiTmv/FwCgJcJqi0vJA6CRKLxW2UiuraWQYMGIS8vD+PGjYNUKoWBgYHSeolEgmvXrmkpuqrhZWIOkuSFUy3+V6MGpngUqTqrAlUuuTnZCFgyBXHPnmDqF5sUJ4IWsaxmCzOZJZ48uqPy2MhH/6BOfac37uNlXAwAwMzcsmyCJtHS05Pgy2n2qFPDALOWPsbTZ8WftOdkb4wFk+vjYWQGvl4fiQIWQulfHkakwd21DoyNdJROCm3sJFOsJ6oMRJecjx49GpJK9g2oIjp7KQF+HW1gU00fL/5XjWjuIoNdbSP8eYhtR5VZQX4+AlfORPiDMEycuQoOTs2KHefepjNCTwch8WUsrKxrAADuhl1G3LMn8O05VDEuVZ6odMVQoHC2lwsn96HOO44wt1Q9qZQqD6kEmDuxHpwdTLBwTTjuPi7+y33dmgb4aro94l7mYMHKCMX5LURFTl94gQ/61UWfbjUV85zr6Urg39kWt++lcKYWMeM852oRXXL+ySefaDuESu/dbjVgaqKj+CmwbUtL2PzvLPc9h2ORnpGPHXti0LFtNaxe2AR/Bj+HkaEUg3vXxuMn6Th8knOcV2Z//LQCf185DdeWHZCeloJLZw4prS+6kFD398bgWuhxrPxiLHx6fIDsrAwc2/8Tats1hKdPH8X43dtX40VsNBq5toaFpQ0S4p/h7PHdyMnKxMDRn5Xrc6PyN+792mjb3ByhN+QwM9WFj6fyLyUnLybByFCKbz5zgKmJDv4MjkdrN5nSmOdx2a9M6qnquPMgFSfPx2P88PqwMNdHzPNMdPOxRc3qhvh2bZi2wyMqM6JLzknzBvWuiRrV//9kvQ5tqqFDm2oAgONnXyI9Ix8vEnIwZcFtTBxZD+OG2CEvT8Cl60n4/qcn7Dev5KIj7wMAwq6eQdjVMyrri5JzK+samPHlFvyxbQX27lgDXV09NG3RHgNGfKrUb964WVucjfsTZw7/jvT0VBibmKFh4+bo0X8s7Oydy+dJkdbY2xkBANq6m6Otu7nK+pMXkyAz1UX1/xUIxgyqpTLm2LlE3H38VLOBUoWweOU9fDi0Pvw6VYeZqR4eR6bh8y//wd+3ee6KmAmsnKtFIgiC6DKtJ0+eYM+ePYiMjFS5QigAbNy48a330bF/6Ftvg6qehQvdtB0CVVBLvruv7RCoAkpPZNJJpXM+qIO2Q1BIu3RA4/swbdNb4/soL6KrnIeFhWHYsGGoVasWIiMj4eTkhNTUVMTExKBGjRqws7PTdohEREREVFI8l1Atovud4bvvvkP37t1x8OBBCIKAr7/+GiEhIdi5cyckEgnGjh2r7RCJiIiIiDRCdMn5/fv30aNHD0j/dzWporaW5s2bY9KkSVixYoU2wyMiIiIiNQgSqcZvlYnono1EIoGenh4kEgmqVauGZ8+eKdbVqFEDkZGR2guOiIiIiEiDRJecOzg4ICqq8Kpwbm5u+OGHH/DgwQOEh4dj8+bNqFu3rpYjJCIiIqISk0g0f6tERHdC6MCBAxETU3jlwOnTp2P06NHo06dwzmQjIyOsXbtWm+EREREREWmM6JLzvn37Kv7t4OCA4OBg3Lx5E1lZWXBzc0O1atW0FxwRERERqaeS9YRrmqiS8+zsbEyZMgVjxoxBq1atAAAmJiZo166dliMjIiIiotIQKlnbiaaV6qtMQEAAHjx48Mr1Dx8+REBAgNrbNTAwwJUrV5Cfn1+asIiIiIiIKrRSJ+f377/6ancPHz7E+vXrSxVQu3btcOHChVI9loiIiIhERiLV/K0S0UhbS3JyMvT09Er12Pfeew8LFixAeno6OnTogGrVqkHyn59DmjRpUhZhEhERERGJSomT8ytXruDy5cuK+8ePH8eTJ09UxqWmpiI4OBiOjo6lCmj8+PEAgJ07d2Lnzp2K5RKJBIIgQCKR4O7du6XaNhERERGVLwHi7Tk/c+YMAgMD8ejRI6SlpcHW1hadO3fGpEmTYGZmphh38uRJrF69GhEREahVqxbGjRuH9957T2lbOTk5WLVqFQ4cOID09HS4u7tj/vz5sLe3VyumEifnly9fVvSRSyQSHDt2DMeOHSt2bIMGDTB//ny1Ainy888/l+pxRERERETqSE5OhqurK4YNGwYLCws8fPgQ69atw8OHD/HDDz8AAK5evYpJkyahf//+mDNnDi5duoS5c+fCxMQE3bp1U2xr8eLFCA4OxqxZs2Bra4uNGzdi5MiROHTokFKi/yYlTs4//PBDDBkyBIIgwNPTE4sWLULXrl2VxkgkEhgZGcHAwKDEAfxX69atART2rV+7dg1yuRzm5uZo0aIFGjZsWOrtEhEREVH5E0TcE150LZ0iHh4e0NfXx/z58xEXFwdbW1ts2LABrq6u+PLLLwEAbdq0QVRUFNauXatIzmNjY/Hnn3/iiy++QP/+/QEALi4u6NSpE3777TeMHTu2xDGVODk3NDSEoaEhcnJyMHv2bDg6OsLS0rLEOyqpnJwcfPbZZzh27BgEQYC+vj5ycnIgkUjg5+eHZcuWQV9fv8z3S0RERERkYWEBAMjNzUVOTg4uX76MGTNmKI3x9/fHwYMHER0djTp16uD8+fMoKChQqqRbWFigXbt2OHv2rFrJudpfZfT09PDdd9/h3r176j60RFauXIkzZ85g0aJFuHr1KsLCwnD16lUsWrQIZ86cwapVqzSyXyIiIiLSgAowW0t+fj6ys7Nx+/ZtrF+/Hj4+PqhTpw6ePn2K3Nxclb5xBwcHAEB4eLjiv9WqVYO5ubnKuKIxJaX2bC0SiQT16tVDUlKSug8tkUOHDmH69OkYOHCgYpmpqSkGDhyIzMxMbNmyBTNnztTIvomIiIio4vH19X3t+pCQkNeu79SpE+Li4gAA7du3x4oVKwAAcrkcACCTyZTGF90vWp+SklJsX7lMJlOMKalSfdUYP348fvnlF7W/CZSEXC5/5Vmt9vb2aj9BIiIiItIeQSLR+O1tbd68Gb/99hsWL16M8PBwfPTRR1q7KGap5jn/+++/YWFhgV69eqF169aoXbs2DA0NVcbNmzdP7W3b29tj//798PLyUll34MABtaejISIiIqLK7U2V8Tdp1KgRAMDd3R0uLi7o06cPjh8/jgYNGgAonCr831JSUgBA0cYik8mQlpamst2UlBSVVpc3KVVyvmPHDsW/Q0NDix0jkUhKlZxPnDgRU6ZMQUxMDLp27Qpra2skJCTg6NGjuHnzJtasWVOakImIiIhIC8Q8W0txnJycoKenh6dPn8LHxwd6enoIDw9H+/btFWOKukeKisb29vZ4+fKlYpbBf4/T2Dzn/6apk0EBoGvXrggICMD69euxdOlSxYWHnJ2dERAQAB8fH43tm4iIiIiqtr///hu5ubmoU6cO9PX14eHhgaNHj2LEiBGKMcHBwXBwcECdOnUAAF5eXpBKpTh27BgGDBgAoLBV+/z585g4caJa+y9Vcq5pvr6+8PX1RUZGBlJTU2FmZgZjY2Nth0VERERE6iqDnnBNmTRpEpo2bQonJycYGhri3r172Lp1K5ycnNC5c2cAwIQJEzB8+HAsXLgQ3bt3x+XLl3Hw4EGlGQRr1KiB/v37Y9myZZBKpbC1tcWmTZtgZmaGwYMHqxXTWyXnN2/exOXLl5GQkIAPPvgA9erVQ2ZmJsLDw1GvXj2YmJi8zeZhbGzMpJyIiIiINMLV1RXBwcHYvHkzBEFA7dq1MWDAAIwZM0ZxXZ2WLVti3bp1WL16Nf7880/UqlULixcvRvfu3ZW2NW/ePJiYmGDFihVIT09H8+bN8eOPP6p1dVAAkAiCIKj7RHJycjB9+nSEhIQo2k5++OEHtG3bFtnZ2fD29sbIkSMxYcIEdTddbjr2L75Xnuh1Fi5003YIVEEt+e6+tkOgCig9kTOUUemcD+qg7RAUEv65qPF9VGvqqfF9lJdSdeivWbMGp0+fxsKFC3HkyBH8O783MDBAt27d3vqsWSIiIiKiqqZUyfmhQ4cwePBgDBo0qNjpYRwcHBAVFfXWwRERERFRxSZAovFbZVKq5DwhIQFOTk6vXK+jo4OsrKxSB0VEREREVBWV6oTQmjVrvvbqoNevX4ednV2pgyIiIiKiyqGizXOubaU6Wj179sRvv/2GGzduKJZJ/jdNzq5du3D48GH07du3TAIkIiIiogpMItH8rRIpVeX8o48+wt9//42hQ4fC3t4eEokES5YsgVwuR2xsLDp06ICRI0eWcahERERERJVbqZJzfX19bNmyBQcOHMDRo0dRUFCAnJwcODk5YerUqejTp4+ikk5EREREVZdQukaNKqvUFyGSSCTo06cP+vTpU5bxEBERERFVWW91hVAiIiIiotcR2E2hlhIl58OHD1d7wxKJBD/99JPajyMiIiIiqqpKlJz/+wqgJVWaxxARERFR5cKpFNVTouR8+/btmo6DiIiIiKjK08hXmfz8fJw6dUoTmyYiIiKiCkSAROO3yqRMTwi9fv06goKCcOTIESQnJ+Pu3btluXkiIiIiokrtrZPzx48f48CBAzh48CCePXsGIyMjeHl5wcfHpyziIyIiIqIKjD3n6ilVch4XF4dDhw4hKCgI9+7dg6GhIbKysjB16lSMGjUK+vr6ZR0nEREREVGlV+LkPC0tDUeOHEFQUBCuXr0KAwMD+Pj4YMqUKahbty569OiB+vXrMzEnIiIiIgXOc66eEifn7dq1AwB06NABy5cvh4+PDwwMDAAAT58+1Ux0RERERERVSImT8+zsbNjY2KB27dqoW7euIjEnIiIiInqVyjabiqaVODk/dOiQ4sTPbdu2wc7ODj169ECPHj2gp6enyRiJiIiIiKqEEifnDg4OmDZtGqZNm4arV68iKCgIO3fuxIYNG1CnTh1IJBIkJydrMFQiIiIiqmg4W4t6SnW0WrZsiUWLFuH8+fMICAhA48aNoa+vjy+++AJdu3bF0qVLcfny5bKOlYiIiIioUnurec51dXXh6+sLX19fpKWl4dixYwgKCsJPP/2Ebdu28SJERERERFUce87VU2ZXCDU1NUW/fv3Qr18/xMXF4fDhw2W1aSIiIiKiKqHMkvN/s7W1xciRIzWxaSIiIiKqQNhzrh4eLSIiIiIikdBI5ZyIiIiICGDPubqYnBMRERGRxrCtRT08WkREREREIsHKORERERFpDNta1FOi5DwgIEDtDUskEnz88cdqP46IiIiIqKqSCIIgvGlQo0aN1N+wRCLqixB59Tqj7RCIqAoxNDXRdghUAWWlpWs7BKqgzgd10HYICo/DwzW+Dwd7e43vo7yUqHJ+7949TcdBRERERFTlseeciIiIiDRGENhzrg7O1kJEREREJBKlrpzfu3cPO3bswJ07d5CamoqCggKl9RKJBCdOnHjrAImIiIio4hJYC1ZLqY7W5cuXMWDAAJw+fRrVq1dHVFQU6tati+rVq+PZs2cwNjZGq1atyjpWIiIiIqJKrVSV87Vr16Ju3brYtWsXcnJy4OnpifHjx6Nt27b4+++/MXbsWMyYMaOsYyUiIiKiCobznKunVJXzO3fuoH///jA1NYWOjg4AKNpamjVrhkGDBmHNmjVlFyURERERURVQqsq5jo4OTEwK5+yVyWTQ1dVFQkKCYn3dunXx+PHjsomQiIiIiCosVs7VU6rKuZ2dHSIjIwEUnvhpb2+vdPLn6dOnYW1tXSYBEhERERFVFaVKzjt06IBDhw4hLy8PADBq1CgcO3YMXbt2RdeuXXHy5EkMGjSoTAMlIiIioopHgETjt8qkVG0tEydOxPDhwxX95u+++y6kUimOHTsGHR0dfPTRR+jXr1+ZBkpEREREVNmVKjnX09ODpaWl0rI+ffqgT58+ZRIUEREREVUOla2yrWmcFZ6IiIiISCRKVTkfPnz4G8dIJBL89NNPpdk8EREREVUSgsDKuTpKlZwLgqCyrKCgAM+ePcPz58/xzjvvoHr16m8dHBERERFRVVKq5Hz79u2vXHfq1CnMnz8fs2fPLnVQRERERFQ5sOdcPWXec96pUyf07t0b33zzTVlvmoiIiIioUtPICaF2dna4deuWJjZNRERERBUI5zlXT6naWl4nLy8Phw8fVplqkYiIiIiqnsqWPGtaqZLzV/WTp6am4ubNm3j58iVmzZr1VoEREREREVU1pUrOL1++rLJMIpHA3NwcLVq0wIABA+Dl5fXWwRERERFRxcapFNVTquT85MmTZR0HEREREVGVV6oTQvft24fo6OhXro+Ojsa+fftKGxMRERERVRIFkGj8VpmUKjmfPXs2bty48cr1YWFhnOeciIiIiEhNZXaF0H/LyMiAjo5OqQIiIiIiosqDs7Wop8TJ+b1793Dv3j3F/atXryI/P19lXEpKCn777TfUr1+/bCIkIiIiIqoiSpycnzhxAgEBAQAKZ2b5/fff8fvvvxc7ViaTYenSpWUTIRERERFVWJytRT0lTs4HDhyIjh07QhAEDBgwAJMnT4a3t7fSGIlEAiMjI9jZ2UFXt8yvb0REREREVKmVOIOuXr06qlevDgD4+eef0aBBA1hZWWksMCIiIiKq+Nhzrp5Szdbi6OiI+Pj4V66/f/8+5HJ5qYMiIiIiIqqKSpWcL1myBAsWLHjl+i+++II950REREQEQZBo/FaZlCo5v3TpEnx8fF65vlOnTggNDS11UEREREREVVGpztpMTEyEpaXlK9dbWFggISGh1EERERERUeXAnnP1lKpybmNjgzt37rxy/e3bt3myKBERERGRmkqVnHfu3Bm7d+9GSEiIyroTJ05gz5496Ny581sHR0REREQVG3vO1VOqtpZPPvkEoaGhmDRpEho1aoSGDRsCAB4+fIh79+7BwcEBkydPLtNAiYiIiIgqu1JVzs3MzPD7779jwoQJyMvLw9GjR3H06FHk5eVh4sSJ2LVrF2QyWVnHSkREREQVTEE53CoTiSAIgiY2LJfLYW5urolNlwmvXme0HQIRVSGGpibaDoEqoKy0dG2HQBXU+aAO2g5B4dI9zV/7pk0j8eac6ipVW8ur5OTkICQkBEFBQTh37hxu3bpVlpsnIiIiogqmsvWEa9pbJ+eCICA0NBRBQUE4fvw40tLSYGVlhZ49e5ZFfERERERUgXEqRfWUOjn/559/EBQUhEOHDuHly5eQSCTw9/fH0KFD4ebmBomEfwgiIiIiInWolZxHRUXhwIEDCAoKwpMnT2Bra4tevXrB1dUV06ZNg5+fH9zd3TUVKxERERFVMGxrUU+Jk/NBgwYhLCwMlpaW8PPzw+LFi9GyZUsAwNOnTzUWIBERERFRVVHi5Pzvv/9GnTp1MGvWLHTs2BG6umV6LikRERERVULsOVdPiec5nz9/PmxsbDBp0iS0a9cOCxYswKVLl6ChmRiJiIiIiKqcEpe/hwwZgiFDhiAqKgpBQUE4ePAgdu3aBWtra3h4eEAikfAkUCIiIiJSUsA6rlre6iJERTO2BAcH48WLF7C2tkanTp3g4+MDT09PGBgYlGWsZYoXISKi8sSLEFFp8CJEVFpiugjR2duafx17N6k877FlcoXQgoICXLp0CQcOHMDx48eRnp4OIyMj3Lhxoyxi1Agm50RUnpicU2kwOafSElNyfuZ2hsb30aGJscb3UV7K5KxOqVQKT09PeHp6YtGiRYqrhBIRERERUcmV+ITQkjIwMIC/vz82bNhQ1psmIiIiogpGECQav5XW4cOHMWHCBHh7e8PNzQ19+vTBn3/+qTLhyR9//AE/Pz+4uLigd+/eOHXqlMq2UlNTMWfOHLRu3Rru7u6YPHky4uPj1Y6pzJNzIiIiIqKKYNu2bTAyMsKsWbOwYcMGeHt7Y/78+Vi/fr1izKFDhzB//nx0794dgYGBcHNzw6RJk3Dz5k2lbU2dOhUXLlzAwoULsXz5ckRERGDs2LHIy8tTKyZOVk5EREREGiPmWbc3bNgAKysrxf22bdsiOTkZP/74IyZOnAipVIq1a9eiR48emDp1KgCgTZs2ePDgAdavX4/AwEAAwI0bN3D+/Hls3boVXl5eAID69evD398fx44dg7+/f4ljEk1y7uPjo9ZUjCEhIRqMhoiIiIgqu38n5kWcnZ2xa9cuZGRkICkpCZGRkfjss8+Uxvj7+2PZsmXIycmBvr4+zp49C5lMhnbt2inG2Nvbw9nZGWfPnq2Yybmvr69Scn706FGkpaXB09MT1apVQ0JCAi5evAgzMzP4+flpMdLKp1FDM3T3sUVzVwvUqG6IlNRc3L6fgsDtkYh6lqnt8EjE9HQl+HBIPfh1soWZqS4eR6Zj845IXL2ZpO3QSCQMDaQY2KsGnBuYwMnBBDJTXSzbEIFjZxOUxn32UT34dbBWefzTmEyMnnG7vMIlkeN7TsVUUMGuEHrt2jXY2trC1NQU165dA1BYBf83BwcH5ObmIioqCg4ODggPD0f9+vVVCs329vYIDw9Xa/+iSc7nzp2r+PeWLVtQs2ZNbNmyBaamporlqampGDt2LKpVq6aNECutIe/VhYuzDKcuvMDjyHRUs9BHv561sXV1C4yfcR0RTzU/BRJVTHOnNkLHdtbYdSAG0c8y0d3XFsu/aIrJc/9G2J0UbYdHImBupovh79VC3ItshD/JgFsT2SvH5uQUYEVgpNKy9Ix8DUdIFQnfc+hVfH19X7u+pB0XV69eRXBwMGbOnAkAkMvlAACZTPm9q+h+0fqUlBSYmZmpbM/c3Bz//PNPifZdRDTJ+b9t374dX3zxhVJiDgBmZmYYO3YsFi1ahHHjxmkpusrn933RWLQ8FXl5/98UFnLuBX4KaImh/e3w1cp7WoyOxMq5oRk6d6iO9T88xq97owEAR07G4ueAVpgw0h4TPr+p3QBJFBKTczHgo5tIkufB0d4Y33/d+JVj8wsEhJxPLMfoqCLhe07F9TazqZSn2NhYTJs2DR4eHhg+fLjW4hBlci6Xy5GamlrsutTUVKSk8NtxWfrnnurxjH6eicin6ahXt/JM6k9lq2M7G+TlC9h/5LliWU6ugIPHn+OjEfaobm2A+JfZWoyQxCA3T0CSvOQzFUglgKGhFBmZBRqMiioivufQ67ztuYgpKSkYO3YsLCwssG7dOkilhRMampubAyjMP21sbJTG/3u9TCZDbGysynblcrliTEmJcirFNm3aYPny5fjrr7+Ull++fBkrVqxAmzZttBRZ1WJpoY/klFxth0Ei5WhviqiYDGRkKrcd3H1Q+MW6YX3T4h5G9EoG+lLs/8EdB35ojj2BbvhklB0MDUT5MUVawPeciksQNH97G1lZWRg/fjxSU1OxZcsWpfYUe3t7AFDpGw8PD4eenh7q1q2rGBcREaEyP3pERIRiGyUlyne9L7/8EtWrV8eIESPQunVr+Pn5oXXr1hg5ciRsbGywaNEibYdY6XXtWB3VrQ1w8twLbYdCIlXNSh8JSTkqy4uWWVfTL++QqAJLTM7FrqBYLN8UicVrHyP0WjL6dK2Ob2c1hFSUn1RU3vieQ5qQl5eHqVOnIjw8HFu2bIGtra3S+rp166JevXo4cuSI0vLg4GC0bdsW+vqFrztvb2/I5XKEhoYqxkRERODOnTvw9vZWKyZRtrVUr14du3fvxtmzZxEWFoYXL17AxsYGrq6uaj9BUp9dHSNM/6ghbt2V4/BJ1Z9oiIDCKmdurmrrQU5O4TJ9fWZUVHJbf4tRun86NAnRz7MwZnAdeHtY4nQoZ+Oo6vieU3EJIp6tZdGiRTh16hRmzZqFtLQ0pQsLNW7cGPr6+vjkk08wY8YM2NnZwcPDA8HBwQgLC8OOHTsUY93d3eHl5YU5c+Zg5syZMDAwwKpVq+Dk5ISuXbuqFZMok/Mi3t7eTMbLmZWFHr5b4IL0jDzM+/YOCtj2Sa+QnVMAPT3VD8OiD8iiD0yi0todHIeRA2ujeVMZk3Piew5pxIULFwAA3377rcq6kJAQ1KlTBz179kRmZiYCAwOxefNm1K9fHwEBAXB3d1cav3r1aixZsgQLFixAXl4evLy8MG/ePOjqqpduizo5P3v2LG7duoXY2FhMmDABtWrVwpUrV2BnZ6fyswO9PRNjHSxf6AJTE118POsmEhJVfz4kKpKQmFPsz8jVLAuXvUzg64feTk6ugJTUPJiZivqjisoJ33MqrgIRXyH05MmTJRo3YMAADBgw4LVjzMzM8M033+Cbb755q5hE+RtQYmIiBg8ejPHjx2P37t34888/kZRUWDXZvXs3Nm7cqOUIKx99PQmWzm+KurWN8fmX/yAyinOb0+s9jEhD3drGMDbSUVre2EmmWE/0NowMpTA304U8peSzvVDlxfeciksQJBq/VSaiTM6//vprJCUl4eDBgzh27JjSma9t27ZVarantyeVAos+b4ymjWSY/+0d3L7PqSrpzU5feAFdHQn6dKupWKanK4F/Z1vcvpfCKc2oxPT0JDAyVP04GtqvFqRSCa78LddCVCQ2fM+hqkKUvxWeOXMGX331FRwcHJCfrzxlUs2aNREXF6elyCqnSaMd0L6NNc5ffgmZmS66dqyutP7Y6XgtRUZidudBKk6ej8f44fVhYa6PmOeZ6OZji5rVDfHt2jBth0ci0qerDUxNdFHNUg8A0La5BWz+156w70g8TE10sHFJY5wKTcTTmCwAQKtmMni4W+Cvm3JcvJasrdBJRPieU3G97VSHVY0ok/P8/HwYGxd/8ZuUlBTo6emVc0SVW0P7wrlhvTys4eVhrbKeyTm9yuKV9/Dh0Prw61QdZqZ6eByZhs+//Ad/32alk/7fgJ41UMPGQHG/vYcl2ntYAgBOnEtAWkY+Lt2Qo3lTGbq0rwYdqQQxcdnY+ls0dh2M4wc7KfA9h6oCifDf2dJFYMSIETA3N8fatWuRn5+PJk2aYPfu3WjSpAmmTZuGzMzMt+479+p1poyiJSJ6M0NTE22HQBVQVlq6tkOgCup8UAdth6Bw8Lrmzxvp2VyU9eZSEeUzmTZtGoYNG4YhQ4bAz88PEokEJ06cwKZNm3DmzBns3LlT2yESEREREZU50Z0QmpOTg/j4ePz444+QSCRYunQpBEHAxo0b8eLFC2zbtg1NmjTRdphEREREVAKCoPlbZSK6yrm+vj4+/fRTbNmyBTt27EBWVhbkcjlkMhmMjIy0HR4RERERkcaILjkHAHt7ezx//hwAYGhoCENDQy1HRERERESlUdnmIdc00bW1AMD06dOxYcMG3Lp1S9uhEBERERGVG1FWzpcvX47k5GQMHDgQFhYWsLZWnt5PIpHgwIEDWoqOiIiIiEqqoJL1hGuaKJPzJk2aoGnTptoOg4iIiIioXIkyOf/222+1HQIRERERlYHKNpuKpomy55yIiIiIqCoSZeWciIiIiCoHAZytRR2snBMRERERiQQr50RERESkMZytRT2snBMRERERiQQr50RERESkMZytRT2snBMRERERiQQr50RERESkMaycq4fJORERERFpTIHAqRTVwbYWIiIiIiKRYOWciIiIiDSGbS3qYeWciIiIiEgkWDknIiIiIo1h5Vw9rJwTEREREYkEK+dEREREpDEFrJyrhZVzIiIiIiKRYOWciIiIiDRG4DznamHlnIiIiIhIJFg5JyIiIiKN4Wwt6mHlnIiIiIhIJFg5JyIiIiKN4Wwt6mHlnIiIiIhIJFg5JyIiIiKNYc+5elg5JyIiIiISCVbOiYiIiEhjWDlXDyvnREREREQiwco5EREREWkMZ2tRDyvnREREREQiwco5EREREWkMe87Vw8o5EREREZFIsHJORERERBpTUKDtCCoWJudEREREpDFsa1EP21qIiIiIiESClXMiIiIi0hhWztXDyjkRERERkUiwck5EREREGsOLEKmHlXMiIiIiIpFg5ZyIiIiINEYol6ZzSTnso3ywck5EREREJBKsnBMRERGRxnC2FvWwck5EREREJBKsnBMRERGRxhQUaDuCioWVcyIiIiIikWDlnIiIiIg0hj3n6mHlnIiIiIhIJFg5JyIiIiKN4RVC1cPKORERERGRSFTZyrmhqYm2Q6AKKCstXdshUAVVq0FtbYdAFVDU/afaDoHorbHnXD2snBMRERERiUSVrZwTERERkeYJ5dJ0LimHfZQPVs6JiIiIiESClXMiIiIi0hjO1qIeVs6JiIiIiESClXMiIiIi0hjO1qIeJudEREREpDEF7GtRC9taiIiIiIhEgpVzIiIiItIYtrWoh5VzIiIiIiKRYOWciIiIiDSGlXP1sHJORERERCQSrJwTERERkcYUsHSuFlbOiYiIiIhEgpVzIiIiItIYoUDbEVQsrJwTEREREYkEK+dEREREpDECe87Vwso5EREREZFIsHJORERERBpTwJ5ztbByTkREREQkEqycExEREZHGsOdcPaycExEREVGV9eTJEyxYsAB9+vRB48aN0bNnz2LH/fHHH/Dz84OLiwt69+6NU6dOqYxJTU3FnDlz0Lp1a7i7u2Py5MmIj49XKx4m50RERESkMQWC5m9v4+HDhzhz5gzeeecdODg4FDvm0KFDmD9/Prp3747AwEC4ublh0qRJuHnzptK4qVOn4sKFC1i4cCGWL1+OiIgIjB07Fnl5eSWOh20tRERERFRl+fj4oHPnzgCAWbNm4Z9//lEZs3btWvTo0QNTp04FALRp0wYPHjzA+vXrERgYCAC4ceMGzp8/j61bt8LLywsAUL9+ffj7++PYsWPw9/cvUTysnBMRERGRxggFgsZvb0MqfX06HBUVhcjISHTv3l1pub+/P0JDQ5GTkwMAOHv2LGQyGdq1a6cYY29vD2dnZ5w9e7bk8agROxERERFRlRIeHg6gsAr+bw4ODsjNzUVUVJRiXP369SGRSJTG2dvbK7ZREmxrISIiIiKNKY/JWnx9fV+7PiQkpNTblsvlAACZTKa0vOh+0fqUlBSYmZmpPN7c3LzYVplXYXJORERERBpT8LZnbFYxTM6JiIiIqEJ7m8r4m5ibmwMonCbRxsZGsTwlJUVpvUwmQ2xsrMrj5XK5YkxJsOeciIiIiDRGEASN3zTJ3t4eAFT6xsPDw6Gnp4e6desqxkVERKjEExERodhGSTA5JyIiIiJ6hbp166JevXo4cuSI0vLg4GC0bdsW+vr6AABvb2/I5XKEhoYqxkRERODOnTvw9vYu8f7Y1kJEREREGiMUaDuC18vMzMSZM2cAADExMUhLS1Mk4q1bt4aVlRU++eQTzJgxA3Z2dvDw8EBwcDDCwsKwY8cOxXbc3d3h5eWFOXPmYObMmTAwMMCqVavg5OSErl27ljgeJudEREREVGUlJCRgypQpSsuK7v/888/w8PBAz549kZmZicDAQGzevBn169dHQEAA3N3dlR63evVqLFmyBAsWLEBeXh68vLwwb9486OqWPOWWCJpu1BGpzu9f1XYIVAFlpaVrOwSqoOzdHLUdAlVAUfefajsEqqBO7fLQdggKMzZkaHwfyycYa3wf5YU950REREREIsG2FiIiIiLSmCrapFFqrJwTEREREYmE6CrnSUlJsLS01HYYRERERFQGeIVQ9YguOW/bti0cHBzQsmVLtGrVCq1atYKtra22wyIiIiIi0jjRJeeBgYG4evUqrly5gj179iAvLw+1atVCq1atFAn7O++8o+0wiYiIiKgE2HKuHtEl5+3bt0f79u0BADk5Obh58yauXLmCc+fOYf/+/ZBIJLhz546WoyQiIiIiKnuiS86LZGZm4vr167hy5Qr++usv3L59G8bGxmjevLm2QyMiIiKiEhLYc64W0SXn3333Ha5evYrbt2/DxMQELVq0QJcuXTBnzhw0btwYUiknmCEiIiKiykl0yfnWrVthaGiIwYMHY8iQIahfv762QyIiIiKiUipg07laRJecr1mzBleuXMHVq1fx66+/wsrKSmnmloYNG2o7RCIiIiIijRBdcu7n5wc/Pz8AQGpqKq5du6aYueWrr76ChYUFQkNDtRwlEREREZUEe87VI9oG7tzcXDx48AD379/HvXv3EB4eDkEQIJFItB0aEREREZFGiK5yvnbtWly5cgW3bt1CVlYWbG1t0bJlS3z++edo1aoVHBwctB0iEREREZUQK+fqEV1yHhQUhJYtW+Ldd99Fq1atULduXW2HRERERERULkSXnB8/flzbIRARERFRGWHhXD2iS86LPHz4ENeuXYNcLoe5uTlatGjBmVqIiIiIKhi2tahHdMl5Tk4OPvvsMxw7dgyCIEBfXx85OTmQSCTw8/PDsmXLoK+vr+0wiYiIiIjKnOiS85UrV+LMmTNYtGgR/P39YWpqirS0NAQHB2PJkiVYtWoVZs6cqe0wKyxDAykG9qoB5wYmcHIwgcxUF8s2RODY2QSlcZ99VA9+HaxVHv80JhOjZ9wur3BJxBo1NEN3H1s0d7VAjeqGSEnNxe37KQjcHomoZ5naDo9EolE9fcwZU63YdYs2vcTj6FwAgEQCdGxpDJ9WxrC10kF2roDIZ7nYfzoNj6JyyzNkEglDAykG964J54amaNTAFDJTXXy7/jGOnnmpGCORAF29rdHewwoN6xnDzFQXsfHZOHkxAb8HPUduLiu2YiDwIkRqEV1yfujQIUyfPh0DBw5ULDM1NcXAgQORmZmJLVu2MDl/C+Zmuhj+Xi3EvchG+JMMuDWRvXJsTk4BVgRGKi1Lz8jXcIRUUQx5ry5cnGU4deEFHkemo5qFPvr1rI2tq1tg/IzriHiaoe0QSUSOhqYjIkY5yY5LzFP8e7CfGbq3M8WFmxkI+SsdxoZSdGpljDljqmFxYALCY5igVzXmMl2MGFAHsS+y8TgyA+5NVT+vDPSlmPWxA24/SMWB4/FITslFE0dTjBxYB82bmmP6l3e1EDnR2xFdci6Xy2Fvb1/sOnt7e8jl8nKOqHJJTM7FgI9uIkmeB0d7Y3z/deNXjs0vEBByPrEco6OK5Pd90Vi0PBV5ef9fEQk59wI/BbTE0P52+GrlPS1GR2Lz4EkOrtzOKnadVAr4tDLBX/9kYtPu/3+P/+ufLKz8tDraNjNicl4FJSblot/Y60iS58LR3gSbvm2qMiYvT8Ckebdx+0GaYtmhkBeIjc/BqEF10NxFhuu3UsozbCpGAXvO1SK6ixDZ29tj//79xa47cODAKxN3KpncPAFJ8rw3D/wfqQQwNhLdy4RE4J97KUqJOQBEP89E5NN01KtrrKWoSMwM9SWQFvN2oiMFDPQlkKcVKC1PSS9AQYHA1oQqqvDz6vVfyvLyBaXEvMi5vwoLS+/UNtJIbESaJLrK+cSJEzFlyhTExMSga9eusLa2RkJCAo4ePYqbN29izZo12g6xyjDQl2L/D+4wMtRBSloeTl1MRODOaGRlF7z5wVRlWVroI+JpurbDIJH58F1zGBlIkZ8v4P6THPx+NBURzwoTr9w84FFUDtq7G+FRVA4ePMmBsaEUfTqaIj1TwKmrbJEi9VhZ6AEA5KklL0aR5rDnXD2iS867du2KgIAArF+/HkuXLoUgCJBIJHB2dkZAQAB8fHy0HWKVkJici11BsXgYmQGJBGjVzBx9ulaHg50Rpn91HwXMz6kYXTtWR3VrA2z9JVLboZBI5OUL+Ot2JsIeZCM1owC1bXTRvZ0p5n5YDV8FvsST54XJ08Y/k/HxQEtMGGCpeGxcYh6+2vISL5J4rgupZ3CfWkjLyMPlG8naDoVIbaJLzgHA19cXvr6+yMjIQGpqKszMzGBszJ/Jy9PW32KU7p8OTUL08yyMGVwH3h6WOB2apKXISKzs6hhh+kcNceuuHIdPxmo7HBKJR1G5CPgtWXH/xr1s/HU7C19/bIMBXcyw/OfC95KsbAExL3LxKCoHd8KzYW6qg57eJpj6gRUWb3mJtAxW3qhkhrxbCy1dzbEqMIKTGIgE5zlXj6ibiY2NjWFra8vEXCR2B8chv0BA82LOmKeqzcpCD98tcEF6Rh7mfXuHv6zQa8Un5uP6vSw41zeARFJ4QujMUVbIzBKw/VAKrt3NxskrGVj6YyKqW+rA38tU2yFTBdGprRVGD6qDQyHxOHA8XtvhEJWKKCrnixcvVmv8vHnzNBQJvU5OroCU1DyYmYriZUMiYWKsg+ULXWBqoouPZ91EQmKOtkOiCiBRng89XQkM9CWoX0sPdW31sPOw8qwacYn5ePYyD452vPAcvVkLFxlmTXLApRvJWBkYoe1w6F9YOVePKLKskydPlnisRCJhcq4lRoZSmJvpQp7CE2yokL6eBEvnN0Xd2saYOi8MkVE8cY9KxsZKBzm5ArJzBJibFv6IK5VIVMbpSFHsDC9E/+bcwARffeaIB4/TsWjlQ/56RxVahUvOSfP09CTQ1ZEgM0v53W1ov1qQSiW48jfnmqfChGnR543RtJEMsxbfxu37nEuYVJkZS5GaofxeUreGLpo7GSLsYTYEAYhNKPzC38bFELceZSvGvVNTFzWtdTlbC72WXW1DLJnlhNj4bMxeeh85nHpTdAo4W4taRJGcU/nq09UGpia6qGZZONVU2+YWsKlW+LPxviPxMDXRwcYljXEqNBFPYwovGtKqmQwe7hb466YcF68layt0EpFJox3Qvo01zl9+CZmZLrp2rK60/thp9nsS8PEgC+TkCngYlYvUtHzUqq6LTi2NkZ0rYNfxVABA5LM83HqUjfbNjWFkKMWtR9mwMJOii4cJcnIFHA3l1JxVVV8/W5ia6MDasvAzyrOlpeLzau/hOBQIApbNbQRTU138FvQcbZpbKD3+WWw27jxUnQedSMxEkZwfO3ZMrfFdu3bVUCRVw4CeNVDDxkBxv72HJdp7FE5fduJcAtIy8nHphhzNm8rQpX016EgliInLxtbforHrYBz4BZgAoKF94Ul6Xh7W8PKwVlnP5JwA4NrdLHi6GqG7pwkMDSRITS/A1TtZ2HsqDfGJ/z+TxupfEuHvZQoPF0O4NJAhL1/Agyc52B2SitiXnHGjqhrUqyZqVP//zytvDyt4e1gBAI6fewkAsLUuXD9+iJ3K44+cfsHkXATYc64eiSCCmeEbNWpU4rESiQR379596312fv/qW2+Dqp6sNFbwqHTs3Ry1HQJVQFH3n2o7BKqgTu3y0HYICiMWaH563Z++rKHxfZQXUVTOQ0JCtB0CEREREWmACOrAFYookvPatWtrOwQiIiIiIq0TRXJenLNnz+LWrVuIjY3FhAkTUKtWLVy5cgV2dnawtbXVdnhEREREVAIF7DlXi+iS88TEREycOBF///03atasiefPn2Pw4MGoVasWdu/eDSMjI3zxxRfaDpOIiIiIqMyJ7tIOX3/9NZKSknDw4EEcO3ZMqU+pbdu2CA0N1WJ0RERERKQOoUDQ+K0yEV3l/MyZM/jqq6/g4OCA/Hzl6bNq1qyJuLg4LUVGREREROriCaHqEV3lPD8/H8bGxsWuS0lJgZ6eXjlHRERERERUPkSXnLu6umL37t3Frjt06BCaN29ezhERERERUWkJBQUav1UmomtrmTp1KoYPH44hQ4bAz88PEokEJ06cwKZNm3DmzBns3LlT2yESEREREWmE6Crn7u7u+PnnnyGRSLB06VIIgoCNGzfixYsX2LZtG5o0aaLtEImIiIiohAoKBI3fKhPRVc5//fVX9OrVCzt27EBWVhbkcjlkMhmMjIy0HRoRERERkUaJrnL+7bffwsvLC59//jnCwsJga2vLxJyIiIioghIEQeO3ykR0yfm5c+fw2Wef4dGjRxg+fDi6dOmCjRs3cgpFIiIiIqr0RJecy2QyDBkyBHv27MG+ffvQsWNH/PTTT/Dx8cG4ceNw9OhR5ObmajtMIiIiIioBXoRIPaJLzv+tUaNGmDt3Lvbt24fmzZvj7NmzmDJlCry9vbF27VpkZWVpO0QiIiIiojIjuhNCiwiCgLNnz2L37t04deoUZDIZxowZgy5duuDMmTPYsWMHHj58iHXr1mk7VCIiIiJ6hcpW2dY00SXnT58+xe7du7Fv3z7Ex8fD09MTy5cvh6+vL3R1C8N1c3ND06ZNMX36dC1HS0RERERUdkSXnHft2hW2trbo168f+vfvj9q1axc7zt7eHq6uruUcHRERERGpo0CoXFfw1DTRJecbNmxAhw4dIJW+vh2+fv362L59ezlFRURERESkeaJLzjt16qTtEIiIiIiojLDnXD2inq2FiIiIiKgqEV3lnIiIiIgqD1bO1cPKORERERGRSLByTkREREQaIwisnKuDlXMiIiIiIpFg5ZyIiIiINKaggPOcq4OVcyIiIiIikWDlnIiIiIg0hrO1qIfJORERERFpjCCwrUUdbGshIiIiIhIJVs6JiIiISGPY1qIeVs6JiIiIiESClXMiIiIi0hhWztXDyjkRERERkUiwck5EREREGlPA2VrUwso5EREREZFIsHJORERERBrDnnP1sHJORERERCQSrJwTERERkcYIBew5Vwcr50REREREIsHKORERERFpDHvO1cPKORERERGRSLByTkREREQaI3Cec7Wwck5EREREJBKsnBMRERGRxhSw51wtrJwTEREREYkEK+dEREREpDGc51w9rJwTEREREYkEK+dEREREpDGc51w9rJwTERERUZX1+PFjjBo1Cm5ubmjXrh2WLVuGnJwcrcXDyjkRERERaYyY5zmXy+UYMWIE6tWrh3Xr1iEuLg7ffvstsrKysGDBAq3ExOSciIiIiDRGzG0tv/32G9LT0xEQEAALCwsAQH5+PhYtWoTx48fD1ta23GNiWwsRERERVUlnz55F27ZtFYk5AHTv3h0FBQW4cOGCVmJick5EREREGiMUFGj8Vlrh4eGwt7dXWiaTyWBjY4Pw8PC3feqlwrYWIiIiIqrQfH19X7s+JCSk2OUpKSmQyWQqy83NzSGXy8skNnVV2eT8xK8ttR0CERHRG9TUdgBEb+18UAeN7+MNuXmFUmWTcyIiIiKqHF5VGX8TmUyG1NRUleVyuRzm5uZvG1apsOeciIiIiKoke3t7ld7y1NRUvHjxQqUXvbwwOSciIiKiKsnb2xsXL15ESkqKYtmRI0cglUrRrl07rcQkEQRBvJNPEhERERFpiFwuR48ePVC/fn2MHz9ecRGiXr16ae0iREzOiYiIiKjKevz4Mb766ivcuHEDJiYm6NOnD6ZNmwZ9fX2txMPknIiIiIhIJNhzTkREREQkEkzOiYiIiIhEgsk5EREREZFIMDknIiIiIhIJJudERERERCLB5JyIiIiISCSYnBMRkeh9/fXX8PHx0XYYpAXR0dFwcnLCkSNHFMt8fHzw5ZdfajEqIs1hck5EREREJBJMzquonJwcFBQUaDsMErGsrCxth0CViCAIyMnJ0XYYRESix+S8kvjtt9/QqVMnNGvWDKNGjcKdO3fg5OSEPXv2APj/nwADAwPRqVMnuLq6Ijk5GQCwZ88e9OrVCy4uLmjfvj1WrVqF/Px8pe3HxsZixowZ8PDwgKurK4YMGYJ//vlHaUzRPn755Rd06tQJLVq0wMSJE5GYmFgux4Be79ixY+jTpw9cXFzg5eWFJUuWIDs7GwBw+fJlODk54fTp05g8eTKaN2+OKVOmAAD27duH999/H61bt0arVq0wbNgwhIWFKW173bp1cHd3x/379/H++++jWbNm6NmzJ86dO6c0LicnB4sXL0br1q3RsmVLLFiwAEFBQXByckJ0dLTSuJUrV6JTp05o2rQpunfvjqCgIA0fISpLs2bNQs+ePXHmzBn07t0bLi4uOHnyJG7cuIHhw4fDzc0NLVq0wKeffoqEhASlx8bFxeGjjz5Cs2bN0L59ewQGBmrpWdDbOHnyJJycnBAZGam0XC6Xw9XVFb/88gsAlOg1URKve48DgM6dO2P16tWK+0ePHoWTkxOWLl2qWHbu3Dk4OTnxc4u0SlfbAdDbCwkJwRdffIEBAwbAz88Pd+/exdSpU1XGHTt2DO+88w7mzp0LqVQKY2Nj/Pjjj/juu+8wYsQIzJo1C48fP1Yk5zNmzABQ+Eb6wQcfwNjYGPPnz4eZmRm2b9+OESNG4NixY6hWrZpiHydPnsSTJ0+wYMECJCUlYcmSJfjqq6+watWq8jocVIyQkBBMnjwZPXr0wKefforw8HCsWrUKz58/x9q1axXj5s+fj969e2P9+vWQSgu/u0dHR6Nv376ws7NDTk4ODh06hCFDhuDAgQOoX7++4rG5ubmYMWMGhg8fjokTJyIwMBCTJ0/GyZMnYWlpCQBYsWIFfvvtN0yePBnOzs44evQoVqxYoRLvlClTcP36dXz88cdwcHDAmTNn8Nlnn0Emk6FDhw4aPlpUVuLj47F48WJMmDABNWvWhJ6eHoYNG4YOHTpg1apVyMzMxOrVqzFx4kT8/vvvisdNnDgRcXFxWLhwIczMzBAYGIjnz59DV5cfWRVJhw4dYGtri927d+PTTz9VLD948CAAoFevXrhx40aJXhNvUpL3uFatWuHq1auKx1y5cgUGBgYqy+zt7WFlZfW2T5+o9ASq8N577z1h+PDhSsvWr18vODo6Crt37xYEQRA6deoktG7dWkhPT1eMSU1NFdzc3IQVK1YoPXbnzp2Cq6urkJiYKAiCIKxZs0Zo0aKF8PLlS8WY7OxsoWPHjsLSpUsVyzp16iR4e3sL2dnZimVr164VmjRpIuTn55fdEya19e3bVxg0aJDSst9++01wdHQU7t27J1y6dElwdHQUFixY8Nrt5OfnC7m5uYKfn5/S62bt2rWCo6OjcPr0acWyqKgowdHRUdi3b58gCIKQlJQkuLi4CAEBAUrbHDFihODo6ChERUUJgiAIoaGhgqOjo3Du3DmlcVOnThXee+899Z88acXMmTMFR0dH4ebNm4plQ4YMEQYNGiQUFBQolj18+FBwcnJSvHbOnDkjODo6ChcvXlSMSUlJEdzd3YVOnTqV3xOgMrFq1SrBy8tLyMvLUyx79913henTpwuCULLXRNF7yeHDhxVjOnXqJCxatEhx/03vcYIgCH/++afg4uKi+Izq3bu38OWXXwqNGzcW0tLSBEEQhMGDBwvz588vy0NApDa2tVRw+fn5uHv3rsosBr6+vipjPTw8YGxsrLh/48YNZGRkoFu3bsjLy1PcPD09kZWVhYcPHwIALly4AA8PD5ibmyvGSKVStGrVCrdu3VLaR6tWraCvr6+47+DggNzc3FL9REllIz09HXfv3oWfn5/Scn9/fwDAtWvXFMs6duyo8vjHjx/j448/hqenJ5ydndGkSRNERESo/FQtlUrRtm1bxf06derA0NAQcXFxAIAHDx4gOztb5bX53/sXLlyAhYUF2rRpo/K6vHv3rkrLFYmXhYUFmjVrBgDIzMzE9evX0a1bN+Tn5yv+rvXq1UPNmjUV7yVhYWEwMzNTei2ZmZnB09NTK8+B3k7//v3x4sULRYvbvXv3cPv2bfTv37/Er4k3Kel7XKtWrZCdnY2wsDCkpKTgwYMH+OCDD2Bqaorr168jOzsbt27dQsuWLcvwCBCpj78RVnCJiYnIy8tT+Qnu360mr1qWlJQEAHj33XeL3fbz588V427evIkmTZqojLGzs1O6L5PJlO4XJer/7vuj8pWamgpBEFT+/mZmZtDX14dcLlcs+++YtLQ0jB49GlZWVpg1axZq1aoFAwMDzJs3T+VvamhoqPTFDAD09PQU4168eAEAihaXV+0zKSkJycnJxb7eirZTo0aNNz1tEgFra2vFv1NSUpCfn48lS5ZgyZIlKmOL3m/i4+OLbSko7j2NxK9OnTpo164d/vzzT3Ts2BG7d+9GnTp10KZNG8THx5foNfEmJX2Ps7Ozg62tLa5cuYLU1FRUq1YNDg4OaN68Oa5evQp9fX3k5uaiVatWb//Eid4Ck/MKzsrKCrq6uionrxRXqZZIJEr3zc3NAQABAQHFJjt16tRRjGvfvr3iBMF/+28yRuJjZmYGiUSi8hpJTU1FTk6O4nUAqL5Gbt68idjYWGzatAmNGjVSeqy6CbKNjQ2AwuTb1tZWsfy/r1Vzc3NYWVlh8+bNxW6HvaAVx79fT0Wvw/Hjx6Nz584qY4u+tFWvXr3Yk/H461vFNWDAAMyYMQNxcXEICgrCsGHDIJFISvyaeBN13uOK+s5TU1PRokULxbLjx49DT08PtWvXRs2aNd/i2RK9PSbnFZyOjg6cnZ0REhKCESNGKJafOHHijY91d3eHkZERYmNj0aVLl1eO8/T0xIEDB+Dg4KDUFkMVg4mJCZydnXHkyBGMHDlSsfzw4cMAgBYtWihm7vmvoukU9fT0FMuuX7+OmJgYNGzYUK04GjZsCAMDA5w4cUIp0f/va9XT0xNbtmyBnp6e0jiq2IyNjeHm5obw8HC4uLi8cpyLiwtSU1MRGhqqaG1JTU3FxYsXYWFhUU7RUlny9fWFTCbDp59+Crlcjn79+gEo+WviTUryHlekZcuWWLZsGZKSkvDee+8BKEzOV65cCUEQ2NJCosDkvBKYMGECJk6ciHnz5qFbt264c+cO9u3bBwCKGTeKI5PJMHnyZHz33XeIjY1F69atoaOjg6ioKISEhGDdunUwMjLCyJEjERQUhKFDh2L48OGoVasWEhMT8ffff8PW1lbpzZDEadKkSfj4448xY8YM9O7dGxEREVi1ahX8/Pzg5OSEy5cvF/s4Nzc3GBsbY9GiRRg3bhzi4uKwbt06pcp3SVlaWuL999/Hxo0bYWBgoPgwLepdL3qttmvXDp06dcKHH36IDz/8EE5OTsjMzMSjR4/w5MkTfP3116U+DqRdn3/+OUaMGIGpU6eiR48ekMlkiI2NxcWLF9GvXz94eHjA29sbTZo0wWeffYYZM2bAzMwMmzdvhqmpqbbDp1LS09ND3759sXXrVnh5eSlVpkvymiiJN73HFWnVqhUyMjJw+/ZtRStN48aNoa+vjxs3bigSdiJtYnJeCfj6+mLhwoXYtGkTDhw4gGbNmmHhwoUYPXr0Gz/QRo8eDVtbW/z444/YsWMHdHV1YWdnh44dOyqqpZaWlvj999+xevVqLF++HMnJyahWrRqaNWv22oo7iYevry/WrFmD9evXY+LEibCwsMDAgQOVpjcrjrW1NdasWYNly5Zh4sSJqFevHhYtWoQtW7aUKo5PP/0UeXl52Lx5MwoKCtClSxeMGzcOX375JczMzBTj1q5di82bN+PXX39FTEwMzMzM0LBhQ0XFjSqm5s2bY+fOnVi3bh1mz56N3Nxc1KhRA23atME777wDoLAV5vvvv8cXX3yBBQsWQCaTYdiwYXj58iVCQkK0/AyotLp06YKtW7eqJL8leU2UREnf4xo0aAArKysUFBTA0dERQOEv0M2bN8e5c+dYOSdRkAiCIGg7CCp7f/zxB+bNm4eQkBBF7ziRGH322We4du0aTp48qe1QiEhD1qxZg507d+LcuXM8V4noDVg5rwSSk5MREBCANm3awMTEBLdu3cLGjRvh6+vLxJxE5a+//sL169fRpEkTFBQU4PTp0wgKCsKsWbO0HRoRaUB4eDgiIiKwY8cOfPDBB0zMiUqAyXkloKuri6ioKBw8eBCpqamwtLREnz59FFf4JBILY2NjnD59GoGBgcjOzkbt2rUxa9YsnrdAVEl98cUXuHnzJtq3b4/x48drOxyiCoFtLUREREREIsErhBIRERERiQSTcyIiIiIikWByTkREREQkEkzOiYiIiIhEgsk5EREREZFIMDknoiojMjISo0ePRosWLeDk5IQTJ05gz549cHJyQnR0dLnHEx0dDScnJ+zZs6dMt+vj48O544mIKigm50QkOkUJc9GtcePGaN++PWbNmoW4uLhSb3fWrFl48OABpk2bhmXLlqFp06ZlGHX5OHPmDJycnODl5YWCgoJy229cXBzWrVuHu3fvlts+iYiqIl6EiIhEa/LkyahTpw5ycnJw8+ZN7N27F9euXcPBgwdhYGCg1raysrJw48YNfPTRRxg6dKhieZ8+fdCjR48Kc+XCAwcOoHbt2oiJicGlS5fg6elZLvuNj49HQEAAateuDWdn53LZJxFRVcTKORGJlre3N/r06YMBAwbg66+/xujRo/H06VOEhISova3ExEQAgEwmU1quo6MDAwMDSCSSMolZkzIyMnDy5EmMGjUKjRs3RlBQkMb3mZeXh5ycHI3vh4iICjE5J6IKo2XLlgCAqKgopeWPHz/G5MmT0bp1a7i4uKBfv35KCfy6devQqVMnAMCyZcvg5OQEHx8fACi259zHxwfjx4/H1atX0b9/f7i4uMDX1xf79u1TiSklJQVff/01OnTogKZNm6JLly7YvHmzSstJSkoKZs2ahRYtWqBly5aYOXMmUlNT1Xr+x48fR1ZWFrp16wZ/f38cO3YM2dnZJXpsSeIs6oHfunUrtm3bhs6dO8PFxQU7d+5E//79AQCzZ89WtBuVda88ERGxrYWIKpCYmBgAytXvhw8f4v3334etrS3Gjh0LY2NjHD58GB9//DHWrVuHLl26oEuXLjAzM8OSJUvQs2dPeHt7w8TE5LX7evLkCaZMmYL+/fvj3Xffxe7duzFr1iw0adIEDRs2BABkZmZi6NChiIuLw+DBg1GzZk3cuHEDK1euxIsXLzB37lwAgCAImDhxIq5du4bBgwfDwcEBx48fx8yZM9V6/kFBQfDw8ICNjQ169OiBFStW4OTJk+jevftrH1fSOIvs2bMH2dnZGDhwIPT19dGlSxekp6dj7dq1GDRoEFq0aAEAaN68uVrxExHRmzE5JyLRSktLQ2JiInJycvD3338jICAA+vr6iio4AHz99deoWbMmdu/eregb/+CDD/D+++9j+fLl6NKlCxo1agRTU1MsWbIEjRs3Rp8+fd6474iICPzyyy+Kan337t3RoUMH7NmzR5FU//jjj4iKisLevXtRr149AMDgwYNRvXp1bN26FaNHj0bNmjUREhKCK1eu4LPPPsOHH34IAHj//fcxfPjwEh+LhIQE/F979xPS9B/Hcfzl5qAlGUxiYTkY7CLhkITCv4XIyMiDl0QDCQUJQgW9qwSBBiJ2EToEoaIeNNgKVqIHOyRJpHQpL05BkVCbiUbkWocfGy396XLa7+uP5wN22ffP581OL957fz/f169fq62tTZKUnp6u7Oxs+Xy+fcN5vHVGLC8va3R0VDabLfpdUVGRHj58qOzs7Lh+PwDAwTDWAsCwbt++rdzcXF25ckUNDQ2yWq3q6enR2bNnJUnBYFCTk5MqLS2NBvm1tTV9/vxZBQUFCgQCB97dxeVyRYO5JNlsNjmdzpiRGr/fr5ycHKWmpkbXXltbU15enkKhkKampiRJExMTSk5OVmVlZfRas9kc82Dqfp4/f66kpCR5PJ7odzdu3NDExITW19f3vDbeOiM8Hk9MMAcA/D10zgEYVktLi5xOpzY2NjQ8PKypqamYXVUWFhYUDofV3d2t7u7uXe+xuroqu93+x2v/2kmOOH36dEwQnp+f18ePH5Wbm7vrPSIPoS4uLurMmTM7RmmcTmfc9Xi9XrndbgWDQQWDQUlSZmamvn//Lr/fr4qKin+9Nt46I86fPx93XQCAw0U4B2BYbrdbWVlZkqSSkhJVVVWpublZfr9fKSkp0YcZa2pqVFhYuOs9HA7HgdY2m837nvPjxw/l5+dHR1V+FxkhSVQgEND79+8lKaZzHuHz+fYM539a54kTJw5eLAAgIYRzAMeC2WxWU1OTqqur1d/fr7q6OmVkZEiSLBbLX9vv+1cOh0NbW1v7rn3u3DlNTk5qc3Mzpns+NzcX1zo+n08Wi0UPHjyQyRQ7jfj27Vv19vZqaWlJ6enpCdW5l+Ow1SQA/B8wcw7g2Lh8+bLcbreePHmib9++KS0tTZcuXdLQ0JA+ffq04/zfxzUOW2lpqd69e6dXr17tOPblyxdtb29L+udhyu3tbQ0MDESPh0Ih9fX1xbWOz+dTTk6Orl+/rmvXrsV8It3wZ8+eJVznXqxWa/R8AMDRoXMO4Fipra1VY2OjRkZGVFlZqdbWVlVVVamsrEw3b95URkaGVlZWND09reXlZXm93iOtZXx8XHfu3FF5ebkuXLigr1+/anZ2Vi9evNDY2JhsNpuKi4t18eJFdXZ2anFxUS6XSy9fvoxrn/OZmRnNz8/r1q1bux632+3RFxLV1dUlVOdeHA6HUlNTNTg4qJSUFJ08eVJutzv67wUA4HDQOQdwrHg8HjkcDj1+/FihUEgul0vDw8O6evWqnj59qnv37mlwcFAmk0l379490lqsVqt6e3tVW1urN2/e6P79+3r06JECgYDq6+t16tQpSZLJZFJPT4/Kysrk9XrV1dUlu92ujo6OfdeIvAU08tKk3RQXF2t2dlYfPnxIqM69WCwWtbe3y2w2q62tTU1NTTt2eQEAJC4pHA6H/+siAAAAANA5BwAAAAyDcA4AAAAYBOEcAAAAMAjCOQAAAGAQhHMAAADAIAjnAAAAgEEQzgEAAACDIJwDAAAABkE4BwAAAAyCcA4AAAAYBOEcAAAAMAjCOQAAAGAQhHMAAADAIH4CRCiqkzgxnKQAAAAASUVORK5CYII=\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df['alert_color'] = df['refined_alert'].map(alert_colors)\n",
        "gdf = gpd.GeoDataFrame(df, geometry=gpd.points_from_xy(df.longitude, df.latitude))\n",
        "\n",
        "fig = px.scatter_geo(df,\n",
        "                     lat='latitude',\n",
        "                     lon='longitude',\n",
        "                     color='alert_color',\n",
        "                     color_discrete_map=alert_colors,\n",
        "                     hover_name='title',\n",
        "                     hover_data=['date_time', 'depth', 'magnitude', 'sig', 'cdi', 'mmi', 'country'],\n",
        "                     title='Seismic Alert Levels by Location',\n",
        "                     labels={'alert_color': 'Alert Level'},\n",
        "                     template=\"plotly_dark\")\n",
        "\n",
        "fig.update_geos(showland=True, landcolor=\"lightgray\", showlakes=True, lakecolor=\"white\")\n",
        "fig.show()\n",
        "\n",
        "# Save the updated dataset\n",
        "df.to_csv(\"Final_cleaned_data.csv\", index=False)\n",
        "print(\"File saved as 'Final_Refined_Alerts.csv'\")"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 559
        },
        "id": "S1aqGJ66azkW",
        "outputId": "e7dc63f5-b671-407c-8d89-afaf1ad51f36"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/html": [
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13:55\",8.0,6.9,1154.0,7.0,9.0,\"Myanmar\"],[\"2\\u002f1\\u002f2011 20:20\",24.0,7.2,1054.0,8.0,7.0,\"Chile\"],[\"12\\u002f1\\u002f2010 21:53\",13.0,7.0,1623.0,9.0,9.0,\"Haiti\"],[\"9\\u002f29\\u002f2010 17:11\",26.0,7.0,772.0,8.0,5.0,\"Indonesia\"],[\"4\\u002f13\\u002f2010 23:49\",17.0,6.9,773.0,6.0,9.0,\"People's Republic of China\"],[\"4\\u002f4\\u002f2010 22:40\",9.987,7.2,2910.0,9.0,9.0,\"Mexico\"],[\"3\\u002f9\\u002f2010 16:35\",12.0,7.0,1245.0,8.0,8.0,\"New Zealand\"],[\"2\\u002f27\\u002f2010 6:34\",22.9,8.8,1991.0,8.0,8.0,\"Chile\"],[\"7\\u002f15\\u002f2009 9:22\",12.0,7.8,1165.0,6.0,8.0,\"New Zealand\"],[\"5\\u002f28\\u002f2009 8:24\",19.0,7.3,1560.0,7.0,8.0,\"Indonesia\"],[\"12\\u002f5\\u002f2008 6:28\",19.0,7.9,1870.0,9.0,9.0,\"People's Republic of China\"],[\"6\\u002f13\\u002f2008 23:43\",7.8,6.9,888.0,7.0,8.0,\"Japan\"],[\"2\\u002f14\\u002f2008 12:08\",28.0,6.5,692.0,8.0,5.0,\"Indonesia\"],[\"7\\u002f16\\u002f2007 1:13\",12.0,6.6,831.0,8.0,8.0,\"Japan\"],[\"3\\u002f25\\u002f2007 0:41\",8.0,6.7,782.0,7.0,8.0,\"Japan\"],[\"1\\u002f4\\u002f2007 20:39\",24.0,8.1,1025.0,9.0,8.0,\"Solomon Islands\"],[\"12\\u002f26\\u002f2006 12:26\",10.0,7.1,1023.0,8.0,7.0,\"Taiwan\"],[\"4\\u002f29\\u002f2006 16:58\",11.0,6.6,670.0,0.0,8.0,\"Russia\"],[\"4\\u002f20\\u002f2006 23:25\",22.0,7.6,889.0,0.0,8.0,\"Russia\"],[\"2\\u002f22\\u002f2006 22:19\",11.0,7.0,891.0,5.0,9.0,\"Mozambique\"],[\"8\\u002f10\\u002f2005 3:50\",26.0,7.6,1267.0,9.0,9.0,\"Pakistan\"],[\"3\\u002f20\\u002f2005 1:53\",10.0,6.6,805.0,8.0,7.0,\"Japan\"],[\"11\\u002f15\\u002f2004 9:06\",15.0,7.2,820.0,8.0,8.0,\"Colombia\"],[\"10\\u002f23\\u002f2004 8:56\",16.0,6.6,670.0,0.0,8.0,\"Japan\"],[\"12\\u002f26\\u002f2003 1:56\",10.0,6.6,670.0,0.0,9.0,\"Iran\"],[\"12\\u002f22\\u002f2003 19:15\",8.382,6.5,1390.0,7.0,9.0,\"United States of America\"],[\"9\\u002f25\\u002f2003 19:50\",27.0,8.16,1024.0,0.0,9.0,\"Indonesia\"],[\"5\\u002f21\\u002f2003 18:44\",12.0,6.8,711.0,0.0,9.0,\"Algeria\"],[\"10\\u002f1\\u002f2002 11:14\",11.0,6.7,691.0,0.0,8.0,\"Papua New Guinea\"],[\"6\\u002f22\\u002f2002 2:58\",10.0,6.5,650.0,0.0,8.0,\"Iran\"],[\"3\\u002f11\\u002f2002 22:12\",4.2,7.9,1750.0,8.0,9.0,\"United States of America\"],[\"11\\u002f14\\u002f2001 9:26\",10.0,7.8,936.0,0.0,9.0,\"People's Republic of China\"],[\"7\\u002f26\\u002f2001 0:21\",10.0,6.5,650.0,0.0,8.0,\"Greece\"],[\"2\\u002f13\\u002f2001 14:22\",10.0,6.6,670.0,0.0,8.0,\"El Salvador\"],[\"1\\u002f26\\u002f2001 3:16\",16.0,7.7,912.0,0.0,9.0,\"India\"],[\"6\\u002f21\\u002f2000 0:51\",10.0,6.5,650.0,0.0,9.0,\"Iceland\"],[\"6\\u002f17\\u002f2000 15:40\",10.0,6.5,650.0,0.0,8.0,\"Iceland\"],[\"6\\u002f10\\u002f2000 4:30\",10.0,6.7,691.0,0.0,8.0,\"Japan\"],[\"3\\u002f3\\u002f2000 22:22\",10.0,6.6,670.0,0.0,8.0,\"Papua New Guinea\"],[\"12\\u002f11\\u002f1999 16:57\",10.0,7.2,798.0,0.0,9.0,\"Turkey\"],[\"11\\u002f7\\u002f1999 14:14\",10.0,6.7,691.0,0.0,8.0,\"Guatemala\"],[\"10\\u002f16\\u002f1999 9:46\",13.73,7.1,1576.0,8.0,8.0,\"United States of America\"],[\"8\\u002f17\\u002f1999 0:01\",17.0,7.6,889.0,0.0,9.0,\"Turkey\"],[\"5\\u002f22\\u002f1998 4:48\",24.0,6.6,670.0,0.0,8.0,\"Bolivia\"],[\"3\\u002f14\\u002f1998 19:40\",9.0,6.6,670.0,0.0,8.0,\"Iran\"],[\"10\\u002f5\\u002f1997 7:57\",10.0,7.3,820.0,0.0,9.0,\"Iran\"],[\"9\\u002f7\\u002f1997 19:24\",19.9,7.0,754.0,0.0,8.0,\"Venezuela\"],[\"4\\u002f2\\u002f1997 10:37\",10.0,6.5,650.0,0.0,8.0,\"Iran\"],[\"3\\u002f2\\u002f1996 11:14\",11.1,6.6,670.0,0.0,10.0,\"People's Republic of China\"],[\"1\\u002f1\\u002f1996 8:05\",24.0,7.9,960.0,0.0,8.0,\"Indonesia\"],[\"11\\u002f22\\u002f1995 4:15\",10.0,7.2,798.0,0.0,9.0,\"Saudi Arabia\"],[\"11\\u002f7\\u002f1995 21:46\",12.5,6.8,711.0,0.0,8.0,\"Myanmar\"],[\"5\\u002f27\\u002f1995 13:03\",11.0,7.1,776.0,0.0,9.0,\"Russia\"],[\"5\\u002f13\\u002f1995 8:47\",14.0,6.6,670.0,0.0,9.0,\"Greece\"]],\"geo\":\"geo\",\"hovertemplate\":\"\\u003cb\\u003e%{hovertext}\\u003c\\u002fb\\u003e\\u003cbr\\u003e\\u003cbr\\u003eAlert Level=red\\u003cbr\\u003elatitude=%{lat}\\u003cbr\\u003elongitude=%{lon}\\u003cbr\\u003edate_time=%{customdata[0]}\\u003cbr\\u003edepth=%{customdata[1]}\\u003cbr\\u003emagnitude=%{customdata[2]}\\u003cbr\\u003esig=%{customdata[3]}\\u003cbr\\u003ecdi=%{customdata[4]}\\u003cbr\\u003emmi=%{customdata[5]}\\u003cbr\\u003ecountry=%{customdata[6]}\\u003cextra\\u003e\\u003c\\u002fextra\\u003e\",\"hovertext\":[\"M 6.6 - 277 km NNE of Codrington, Antigua and Barbuda\",\"M 7.6 - 95 km WNW of Hihifo, Tonga\",\"M 7.0 - Vanuatu\",\"M 7.3 - Alaska Peninsula\",\"M 7.2 - 98 km S of Sand Point, Alaska\",\"M 7.2 - south of the Fiji Islands\",\"M 7.5 - 4 km SSE of Ekinözü, Turkey\",\"M 6.7 - 18 km ESE of Nurdağı, Turkey\",\"M 7.8 - Central Turkey\",\"M 6.6 - Panama-Colombia border region\",\"M 7.1 - southeast of the Loyalty Islands\",\"M 7.7 - southeast of the Loyalty Islands\",\"M 7.1 - 170 km SSE of Teluk Dalam, Indonesia\",\"M 7.1 - Kermadec Islands, New Zealand\",\"M 6.7 - south of the Fiji Islands\",\"M 6.9 - Kermadec Islands, New Zealand\",\"M 6.8 - near the coast of Ecuador\",\"M 7.0 - Kermadec Islands region\",\"M 6.5 - near the east coast of the Kamchatka Peninsula, Russia\",\"M 6.8 - 67 km W of Murghob, Tajikistan\",\"M 6.9 - Tonga\",\"M 7.0 - New Guinea, Papua New Guinea\",\"M 6.5 - 86 km WSW of Port-Olry, Vanuatu\",\"M 7.0 - 153 km NW of Tobelo, Indonesia\",\"M 6.5 - 108 km NW of Kimbe, Papua New Guinea\",\"M 7.0 - \",\"M 7.0 - 18 km SW of Malango, Solomon Islands\",\"M 7.3 - 205 km ESE of Neiafu, Tonga\",\"M 7.3 - 205 km ESE of Neiafu, Tonga\",\"M 7.0 - south of the Fiji Islands\",\"M 6.8 - south of the Fiji Islands\",\"M 6.5 - 71 km SE of Nikolski, Alaska\",\"M 6.6 - 53 km SE of Nikolski, Alaska\",\"M 6.5 - 71 km SE of Nikolski, Alaska\",\"M 6.7 - 91 km SE of Nikolski, Alaska\",\"M 6.7 - 91 km SE of Nikolski, 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Caledonia\",\"M 6.7 - 65 km S of Hualien City, Taiwan\",\"M 7.3 - 57 km ENE of Namie, Japan\",\"M 6.7 - 166 km W of Pariaman, Indonesia\",\"M 6.6 - Kermadec Islands, New Zealand\",\"M 6.8 - south of the Fiji Islands\",\"M 6.6 - Kermadec Islands, New Zealand\",\"M 6.5 - Kermadec Islands region\",\"M 6.5 - 71 km SE of Nikolski, Alaska\",\"M 6.5 - 71 km SE of Nikolski, Alaska\",\"M 6.6 - 53 km SE of Nikolski, Alaska\",\"M 6.7 - 91 km SE of Nikolski, Alaska\",\"M 6.8 - 100 km SE of Nikolski, Alaska\",\"M 6.7 - 91 km SE of Nikolski, Alaska\",\"M 7.3 - Flores Sea\",\"M 7.5 - South Sandwich Islands region\",\"M 6.7 - Mauritius - Reunion region\",\"M 7.5 - 43 km NNW of Barranca, Peru\",\"M 6.6 - 177 km SE of Hirara, Japan\",\"M 6.9 - 112 km E of Chignik, Alaska\",\"M 7.1 - 60 km ENE of Pondaguitan, Philippines\",\"M 6.7 - 29 km SSW of Turt, Mongolia\",\"M 6.6 - 177 km SE of Hirara, Japan\",\"M 6.9 - 112 km E of Chignik, Alaska\",\"M 6.9 - Vanuatu region\",\"M 7.7 - southeast of the Loyalty 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Zealand\",\"M 7.0 - 30 km E of Ishinomaki, Japan\",\"M 6.6 - 171 km SSE of Ust’-Kamchatsk Staryy, Russia\",\"M 8.1 - Kermadec Islands, New Zealand\",\"M 7.4 - Kermadec Islands, New Zealand\",\"M 7.3 - 182 km NE of Gisborne, New Zealand\",\"M 7.1 - 73 km ENE of Namie, Japan\",\"M 7.7 - southeast of the Loyalty Islands\",\"M 7.3 - Vanuatu region\",\"M 6.9 - South Shetland Islands\",\"M 7.0 - 211 km SE of Pondaguitan, Philippines\",\"M 6.9 - \",\"M 6.7 - 146 km WNW of Corral, Chile\",\"M 6.6 - 175 km SSE of Lata, Solomon Islands\",\"M 7.0 - 13 km NNE of Néon Karlovásion, Greece\",\"M 7.6 - 99 km SE of Sand Point, Alaska\",\"M 6.9 - central Mid-Atlantic Ridge\",\"M 6.8 - 86 km NW of Vallenar, Chile\",\"M 6.6 - 13 km E of San Pedro, Philippines\",\"M 7.8 - 99 km SSE of Perryville, Alaska\",\"M 7.0 - 114 km NNW of Popondetta, Papua New Guinea\",\"M 7.4 - 9 km SE of Santa María Xadani, Mexico\",\"M 7.4 - south of the Kermadec Islands\",\"M 6.6 - 130 km WNW of Naze, Japan\",\"M 6.8 - 48 km SW of San Pedro de Atacama, Chile\",\"M 6.5 - Monte Cristo Range, NV Earthquake\",\"M 6.6 - 175 km SSE of Lata, Solomon Islands\",\"M 6.5 - Stanley, Idaho\",\"M 7.5 - 221 km SSE of Severo-Kuril’sk, Russia\",\"M 6.8 - 48 km SW of San Pedro de Atacama, Chile\",\"M 7.0 - 95 km ENE of Kuril’sk, Russia\",\"M 7.7 - 123 km NNW of Lucea, Jamaica\",\"M 6.7 - 13 km N of Doğanyol, Turkey\",\"M 6.8 - 86 km NW of Vallenar, Chile\",\"M 6.8 - 7 km S of Magsaysay, Philippines\",\"M 6.8 - 98km SSW of Luwuk, Indonesia\",\"M 7.1 - 138km E of Bitung, Indonesia\",\"M 6.6 - 136 km W of Neiafu, Tonga\",\"M 6.5 - 2km ESE of Kisante, Philippines\",\"M 6.6 - 10 km NE of Columbio, Philippines\",\"M 6.7 - 70 km WSW of Constitución, Chile\",\"M 6.5 - 11km S of Kairatu, Indonesia\",\"M 6.5 - 83km ENE of Bristol Island, South Sandwich Islands\",\"M 6.6 - 34km NNE of Ndoi Island, Fiji\",\"M 6.6 - 131km S of Bristol Island, South Sandwich Islands\",\"M 6.8 - 96 km SW of San Antonio, Chile\",\"M 6.6 - 62km E of Lakatoro, Vanuatu\",\"M 7.2 - 93km NNE of Laiwui, Indonesia\",\"M 7.3 - 292km NW of Saumlaki, Indonesia\",\"M 7.3 - 116km NE of L'Esperance Rock, New Zealand\",\"M 7.1 - 18km W of Searles Valley, CA\",\"M 7.1 - 33km NW of Bulolo, Papua New Guinea\",\"M 6.6 - Molucca Sea\",\"M 6.6 - 32 km S of La Libertad, El Salvador\",\"M 8.0 - 78 km NE of Navarro, Peru\",\"M 7.6 - 46km SSE of Namatanai, Papua New Guinea\",\"M 7.1 - 33km NW of Bulolo, Papua New Guinea\",\"M 6.8 - 98km SSW of Luwuk, Indonesia\",\"M 6.6 - 136 km W of Neiafu, Tonga\",\"M 7.0 - 22 km NNE of Azángaro, Peru\",\"M 7.5 - 111km ESE of Palora, Ecuador\",\"M 6.7 - 5 km SW of Puerto Madero, Mexico\",\"M 6.7 - 10 km SSW of Coquimbo, Chile\",\"M 6.6 - 94 km NW of Sola, Vanuatu\",\"M 6.6 - 34km NNE of Ndoi Island, Fiji\",\"M 6.8 - 96 km SW of San Antonio, Chile\",\"M 6.6 - Molucca Sea\",\"M 7.0 - 22 km NNE of Azángaro, Peru\",\"M 6.7 - 5 km SW of Puerto Madero, Mexico\",\"M 7.0 - 96 km ESE of Pondaguitan, Philippines\",\"M 7.3 - 187 km SE of Ust’-Kamchatsk Staryy, Russia\",\"M 7.1 - South Sandwich Islands region\",\"M 6.6 - 199 km ESE of Tadine, New Caledonia\",\"M 7.5 - 166 km ESE of Tadine, New Caledonia\",\"M 7.1 - 1 km SE of Point MacKenzie, Alaska\",\"M 6.8 - 187 km E of Levuka, Fiji\",\"M 7.1 - South Sandwich Islands region\",\"M 6.7 - 120 km NW of Olonkinbyen, Svalbard and Jan Mayen\",\"M 6.8 - 32 km SW of Lithakiá, Greece\",\"M 6.8 - 210 km SW of Port McNeill, Canada\",\"M 6.5 - 223 km SW of Port McNeill, Canada\",\"M 6.5 - 171 km E of Tadine, New Caledonia\",\"M 6.7 - 269 km WNW of Ozernovskiy, Russia\",\"M 6.5 - 154 km S of Severo-Kuril’sk, Russia\",\"M 6.5 - 154 km S of Severo-Kuril’sk, Russia\",\"M 7.0 - 119 km E of Kimbe, Papua New Guinea\",\"M 7.0 - 119 km E of Kimbe, Papua New Guinea\",\"M 7.5 - 203 km NNE of Barra Patuca, Honduras\",\"M 6.7 - 279 km E of Levuka, Fiji\",\"M 7.5 - 72 km N of Palu, Indonesia\",\"M 6.7 - 120 km NW of Olonkinbyen, Svalbard and Jan Mayen\",\"M 6.5 - 66 km NW of Kirakira, Solomon Islands\",\"M 6.5 - 66 km NW of Kirakira, Solomon Islands\",\"M 7.9 - 45 km S of Levuka, Fiji\",\"M 6.6 - 27 km ESE of Chitose, Japan\",\"M 7.1 - 238 km ESE of Tadine, New Caledonia\",\"M 6.5 - 78 km E of Lakatoro, Vanuatu\",\"M 7.3 - 40 km ENE of Carúpano, Venezuela\",\"M 8.2 - 267 km E of Levuka, Fiji\",\"M 6.5 - 108 km WSW of Adak, Alaska\",\"M 6.8 - 103 km E of Kokopo, Papua New Guinea\",\"M 7.9 - 45 km S of Levuka, Fiji\",\"M 6.7 - 62 km SW of Tari, Papua New Guinea\",\"M 6.6 - 199 km ESE of Tadine, New Caledonia\",\"M 7.5 - 166 km ESE of Tadine, New Caledonia\",\"M 6.6 - 27 km ESE of Chitose, Japan\",\"M 6.9 - 18 km SSW of Leilani Estates, Hawaii\",\"M 6.9 - 18 km SSW of Leilani Estates, Hawaii\",\"M 6.9 - 150 km E of Kimbe, Papua New Guinea\",\"M 6.7 - 140 km E of Kimbe, Papua New Guinea\",\"M 6.8 - 103 km E of Kokopo, Papua New Guinea\",\"M 6.7 - 62 km SW of Tari, Papua New Guinea\",\"M 7.5 - 32 km SW of Tari, Papua New Guinea\",\"M 7.2 - 4 km S of Pinotepa de Don Luis, Mexico\",\"M 7.9 - 261 km SE of Chiniak, Alaska\",\"M 7.1 - 37 km W of Atiquipa, Peru\",\"M 7.5 - 203 km NNE of Barra Patuca, Honduras\",\"M 6.5 - Bouvet Island region\",\"M 7.3 - 29 km S of Halabja, Iraq\",\"M 7.0 - 85 km ENE of Tadine, New Caledonia\",\"M 6.6 - 74 km E of Tadine, New Caledonia\",\"M 6.5 - 18 km W of Parrita, Costa Rica\",\"M 6.5 - 67 km WSW of Angoram, Papua New Guinea\",\"M 6.6 - Auckland Islands, New Zealand region\",\"M 6.8 - 97 km NE of Hihifo, Tonga\",\"M 6.6 - 101 km E of Tadine, New Caledonia\",\"M 6.7 - 132 km E of Tadine, New Caledonia\",\"M 6.5 - 247 km ESE of Attu Station, Alaska\",\"M 6.5 - South Sandwich Islands region\",\"M 6.5 - 11 km N of Mabua, Philippines\",\"M 7.3 - 189 km SSE of Tabiauan, Philippines\",\"M 8.2 - near the coast of Chiapas, Mexico\",\"M 6.8 - 59 km NNE of Port-Olry, Vanuatu\",\"M 6.5 - 247 km ESE of Attu Station, Alaska\",\"M 8.2 - near the coast of Chiapas, Mexico\",\"M 7.7 - Komandorskiye Ostrova, Russia region\",\"M 6.5 - 67 km WSW of Angoram, Papua New Guinea\",\"M 6.6 - Auckland Islands, New Zealand region\",\"M 6.5 - 2 km S of Lim-oo, Philippines\",\"M 6.8 - 28 km SW of Puerto San José, Guatemala\",\"M 6.9 - 2 km SSW of San Pablo, Guatemala\",\"M 6.5 - 2 km S of Lim-oo, Philippines\",\"M 6.8 - 200 km NW of Attu Station, Alaska\",\"M 6.5 - South Sandwich Islands region\",\"M 6.8 - 59 km NNE of Port-Olry, Vanuatu\",\"M 6.9 - 31 km SW of Burias, Philippines\",\"M 6.9 - 40 km W of Valparaíso, Chile\",\"M 6.8 - 97 km NE of Hihifo, Tonga\",\"M 6.6 - 81 km NNE of Ust’-Kamchatsk Staryy, Russia\",\"M 6.5 - 132 km WSW of Moijabana, Botswana\",\"M 6.9 - 225 km SW of Nadi, Fiji\",\"M 6.9 - south of the Fiji Islands\",\"M 6.5 - 11 km N of Mabua, Philippines\",\"M 6.8 - 200 km NW of Attu Station, Alaska\",\"M 7.9 - 35 km WNW of Panguna, Papua New Guinea\",\"M 6.5 - 65 km W of Kirakira, Solomon Islands\",\"M 6.6 - 101 km E of Tadine, New Caledonia\",\"M 7.3 - 189 km SSE of Tabiauan, Philippines\",\"M 6.9 - 225 km SW of Nadi, Fiji\",\"M 7.6 - 41 km SW of Quellón, Chile\",\"M 7.9 - 140 km E of Kokopo, Papua New Guinea\",\"M 6.9 - 92 km WSW of Kirakira, Solomon Islands\",\"M 7.8 - 69 km WSW of Kirakira, Solomon Islands\",\"M 6.6 - 164 km W of Ferndale, California\",\"M 7.2 - southeast of the Loyalty Islands\",\"M 6.6 - 122 km N of Murghob, Tajikistan\",\"M 6.9 - 156 km SSW of Puerto El Triunfo, El Salvador\",\"M 6.9 - 35 km ESE of Namie, Japan\",\"M 6.5 - 74 km NE of Amberley, New Zealand\",\"M 6.5 - 92 km SSW of Blenheim, New Zealand\",\"M 7.8 - 53 km NNE of Amberley, New Zealand\",\"M 6.5 - 227 km SE of Sarangani, Philippines\",\"M 6.6 - 5 km ESE of Preci, Italy\",\"M 6.8 - 76 km WNW of Kandrian, Papua New Guinea\",\"M 6.9 - Fiji region\",\"M 6.9 - 92 km WSW of Kirakira, Solomon Islands\",\"M 7.0 - 175 km NE of Gisborne, New Zealand\",\"M 6.8 - 90 km NE of Rabaul, Papua New Guinea\",\"M 7.8 - 69 km WSW of Kirakira, Solomon Islands\",\"M 6.6 - 164 km W of Ferndale, California\",\"M 7.2 - southeast of the Loyalty Islands\",\"M 7.7 - Pagan region, Northern Mariana Islands\",\"M 6.7 - 104 km W of Sola, Vanuatu\",\"M 6.5 - 14 km WNW of Reuleuet, Indonesia\",\"M 6.7 - 102 km WSW of Sola, Vanuatu\",\"M 7.2 - South Sandwich Islands region\",\"M 6.9 - \",\"M 6.9 - 24 km NW of Rosa Zarate, Ecuador\",\"M 6.7 - 32 km SE of Muisne, Ecuador\",\"M 7.0 - 3 km NW of Norsup, Vanuatu\",\"M 7.8 - 27 km SSE of Muisne, Ecuador\",\"M 7.0 - 6 km ESE of Kumamoto, Japan\",\"M 6.7 - 104 km W of Sola, Vanuatu\",\"M 6.7 - 102 km WSW of Sola, Vanuatu\",\"M 6.9 - 82 km NNW of Port-Olry, Vanuatu\",\"M 6.9 - 82 km NNW of Port-Olry, Vanuatu\",\"M 7.2 - 80 km S of Mil’kovo, Russia\",\"M 7.1 - 47 km ESE of Pedro Bay, Alaska\",\"M 6.6 - 203 km SW of La Cruz de Loreto, Mexico\",\"M 6.7 - 52 km SE of Shizunai furukawachō, Japan\",\"M 6.5 - 227 km SE of Sarangani, Philippines\",\"M 7.0 - 175 km NE of Gisborne, New Zealand\",\"M 6.6 - 4 km W of Manuel Ávila Camacho (Ponte Duro), Mexico\",\"M 6.5 - 177 km SE of Gizo, Solomon Islands\",\"M 6.8 - 32 km SE of Ōfunato, Japan\",\"M 7.3 - Nepal\",\"M 7.6 - 155 km WNW of Iñapari, Peru\",\"M 6.8 - 153 km WSW of Buala, Solomon Islands\",\"M 6.9 - 81 km NW of Coquimbo, Chile\",\"M 6.9 - 81 km NW of Coquimbo, Chile\",\"M 6.8 - 39 km SW of Ovalle, Chile\",\"M 6.7 - 103 km W of El Aguilar, Argentina\",\"M 7.1 - 31 km NE of Port-Olry, Vanuatu\",\"M 6.6 - 186 km WNW of Malango, Solomon Islands\",\"M 6.7 - 150 km WNW of Malango, Solomon Islands\",\"M 6.6 - 22 km WSW of Illapel, Chile\",\"M 7.0 - 25 km WNW of Illapel, Chile\",\"M 8.3 - 48 km W of Illapel, Chile\",\"M 6.7 - 95 km SW of Topolobampo, Mexico\",\"M 6.9 - 107 km SE of Amahai, Indonesia\",\"M 6.5 - 177 km SE of Gizo, Solomon Islands\",\"M 6.6 - 186 km WNW of Malango, Solomon Islands\",\"M 7.0 - 234 km W of Abepura, Indonesia\",\"M 6.9 - Fox Islands, Aleutian Islands, Alaska\",\"M 7.0 - 80 km WNW of Lata, Solomon Islands\",\"M 6.5 - 128 km NE of Bathsheba, Barbados\",\"M 6.8 - 39 km SW of Ovalle, Chile\",\"M 6.7 - 150 km WNW of Malango, Solomon Islands\",\"M 7.1 - 143 km SW of Panguna, Papua New Guinea\",\"M 6.5 - 236 km S of Punta de Burica, Panama\",\"M 7.8 - Bonin Islands, Japan region\",\"M 6.8 - 117 km SSE of Ugashik, Alaska\",\"M 6.8 - 159 km ESE of Kirakira, Solomon Islands\",\"M 6.9 - 205 km ESE of Kirakira, Solomon Islands\",\"M 6.8 - 178 km W of Lata, Solomon Islands\",\"M 6.8 - 32 km SE of Ōfunato, Japan\",\"M 7.1 - 143 km SW of Panguna, Papua New Guinea\",\"M 7.5 - 131 km SSW of Kokopo, Papua New Guinea\",\"M 7.5 - 131 km SSW of Kokopo, Papua New Guinea\",\"M 6.8 - 109 km SSW of Kokopo, Papua New Guinea\",\"M 6.7 - 126 km SSW of Kokopo, Papua New Guinea\",\"M 6.6 - 71 km NNE of Bharatpur, Nepal\",\"M 7.8 - 67 km NNE of Bharatpur, Nepal\",\"M 6.5 - 181 km SSW of Alo, Wallis and Futuna\",\"M 6.5 - 96 km ENE of Hihifo, Tonga\",\"M 7.5 - 53 km SE of Kokopo, Papua New Guinea\",\"M 6.7 - 83 km ENE of Miyako, Japan\",\"M 6.7 - 103 km W of El Aguilar, Argentina\",\"M 6.8 - 81 km NNE of Port-Vila, Vanuatu\",\"M 6.5 - 236 km S of Punta de Burica, Panama\",\"M 6.8 - 109 km SSW of Kokopo, Papua New Guinea\",\"M 6.6 - 22 km ESE of Punta de Burica, Panama\",\"M 6.6 - 115 km W of Panguna, Papua New Guinea\",\"M 7.6 - 93 km SSE of Kirakira, Solomon Islands\",\"M 6.9 - 272 km ESE of Hotan, China\",\"M 6.8 - 157 km NW of Ternate, Indonesia\",\"M 6.5 - 123 km WNW of Tobelo, Indonesia\",\"M 6.7 - 183 km NE of Gisborne, New Zealand\",\"M 7.1 - 155 km NW of Ternate, Indonesia\",\"M 6.5 - 139 km ESE of Namie, Japan\",\"M 6.6 - 76 km NE of Finschhafen, Papua New Guinea\",\"M 6.6 - 15 km N of Belén, Nicaragua\",\"M 6.5 - 78 km SW of Panguna, Papua New Guinea\",\"M 7.1 - 56 km WSW of Panguna, Papua New Guinea\",\"M 7.1 - Fiji region\",\"M 7.3 - 74 km S of Intipucá, El Salvador\",\"M 6.8 - 77 km WNW of Indianola, California\",\"M 6.7 - 43 km NW of Piti Village, Guam\",\"M 6.8 - 38 km NW of Aniso, Peru\",\"M 6.6 - 22 km ESE of Punta de Burica, Panama\",\"M 6.9 - Federated States of Micronesia region\",\"M 6.9 - Fiji region\",\"M 6.6 - 115 km W of Panguna, Papua New Guinea\",\"M 6.5 - 139 km ESE of Namie, Japan\",\"M 6.6 - 76 km NE of Finschhafen, Papua New Guinea\",\"M 6.9 - 4 km W of Puerto Madero, Mexico\",\"M 6.9 - 4 km W of Puerto Madero, Mexico\",\"M 6.5 - 217 km SSE of Kokopo, Papua New Guinea\",\"M 6.5 - 32 km E of Port-Olry, Vanuatu\",\"M 6.7 - 201 km SSE of Mata-Utu, Wallis and Futuna\",\"M 6.9 - South Sandwich Islands region\",\"M 7.9 - Rat Islands, Aleutian Islands, Alaska\",\"M 6.9 - Kermadec Islands, New Zealand\",\"M 6.9 - 21 km SSW of Kamariótissa, Greece\",\"M 6.5 - 110 km SE of Punta de Burica, Panama\",\"M 6.6 - 239 km SSE of Isangel, Vanuatu\",\"M 6.5 - 107 km WSW of Vernon, Canada\",\"M 7.5 - 70 km SW of Panguna, Papua New Guinea\",\"M 6.6 - 57 km SW of Panguna, Papua New Guinea\",\"M 7.2 - 9 km ENE of Coyuquilla Norte, Mexico\",\"M 7.4 - 112 km S of Kirakira, Solomon Islands\",\"M 7.6 - 93 km SSE of Kirakira, Solomon Islands\",\"M 6.6 - 15 km N of Belén, Nicaragua\",\"M 6.5 - 78 km SW of Panguna, Papua New Guinea\",\"M 7.1 - 56 km WSW of Panguna, Papua New Guinea\",\"M 6.5 - 217 km SSE of Kokopo, Papua New Guinea\",\"M 7.7 - 53 km SW of Iquique, Chile\",\"M 8.2 - 93 km NW of Iquique, Chile\",\"M 6.7 - 63 km WNW of Iquique, Chile\",\"M 6.8 - 77 km WNW of Indianola, California\",\"M 6.9 - Federated States of Micronesia region\",\"M 7.7 - 53 km SW of Iquique, Chile\",\"M 6.5 - 109 km NW of Nago, Japan\",\"M 6.5 - 171 km NNE of Greenland, Barbados\",\"M 6.5 - 32 km E of Port-Olry, Vanuatu\",\"M 6.5 - 109 km NW of Nago, Japan\",\"M 6.5 - south of the Kermadec Islands\",\"M 6.5 - south of the Kermadec Islands\",\"M 7.1 - Fiji region\",\"M 6.6 - 239 km SSE of Isangel, Vanuatu\",\"M 8.2 - 93 km NW of Iquique, Chile\",\"M 6.5 - 32 km W of Sola, Vanuatu\",\"M 6.5 - 32 km W of Sola, Vanuatu\",\"M 7.7 - Scotia Sea\",\"M 6.9 - Scotia Sea\",\"M 6.6 - 41 km SSW of Coquimbo, Chile\",\"M 7.1 - off the east coast of Honshu, Japan\",\"M 6.6 - 98 km SW of Etchoropo, Mexico\",\"M 6.8 - 62 km WSW of Panguna, Papua New Guinea\",\"M 7.1 - 4 km SE of Sagbayan, Philippines\",\"M 6.5 - 36 km E of Finschhafen, Papua New Guinea\",\"M 6.5 - Kermadec Islands, New Zealand\",\"M 7.1 - 16 km WSW of Atiquipa, Peru\",\"M 7.7 - 113 km NW of Bela, Pakistan\",\"M 6.5 - 81 km SSW of Atka, Alaska\",\"M 6.6 - 30 km SSW of Lata, Solomon Islands\",\"M 6.9 - 2 km NNE of Yacuanquer, Colombia\",\"M 6.5 - 29 km SE of Blenheim, New Zealand\",\"M 6.7 - 101 km WSW of Bahía Solano, Colombia\",\"M 7.1 - 32 km SE of Lata, Solomon Islands\",\"M 6.8 - 22 km ESE of Lata, Solomon Islands\",\"M 6.5 - 38 km ESE of Blenheim, New Zealand\",\"M 7.3 - South Sandwich Islands region\",\"M 7.3 - 190 km ENE of Kokopo, Papua New Guinea\",\"M 7.3 - 190 km ENE of Kokopo, Papua New Guinea\",\"M 6.7 - 33 km SSW of Lata, Solomon Islands\",\"M 6.6 - northern Mid-Atlantic Ridge\",\"M 6.5 - 44 km W of Masachapa, Nicaragua\",\"M 7.0 - 260 km WSW of Abepura, Indonesia\",\"M 8.0 - 75 km W of Lata, Solomon Islands\",\"M 6.7 - Sea of Okhotsk\",\"M 8.3 - Sea of Okhotsk\",\"M 7.4 - 292 km SW of Vaini, Tonga\",\"M 6.5 - 33 km N of Rabaul, Papua New Guinea\",\"M 6.6 - 56 km WSW of Linqiong, China\",\"M 7.2 - 252 km ENE of Kuril’sk, Russia\",\"M 6.6 - 23 km ESE of Aitape, Papua New Guinea\",\"M 6.6 - 98 km W of Panguna, Papua New Guinea\",\"M 6.5 - 81 km SSW of Atka, Alaska\",\"M 7.0 - 260 km WSW of Abepura, Indonesia\",\"M 6.5 - 36 km E of Finschhafen, Papua New Guinea\",\"M 6.9 - 81 km SE of Ozernovskiy, Russia\",\"M 6.6 - 183 km SW of Belaya Gora, Russia\",\"M 6.6 - 30 km SSW of Lata, Solomon Islands\",\"M 6.9 - 2 km NNE of Yacuanquer, Colombia\",\"M 7.1 - 32 km SE of Lata, Solomon Islands\",\"M 6.8 - 22 km ESE of Lata, Solomon Islands\",\"M 6.7 - 33 km SSW of Lata, Solomon Islands\",\"M 8.0 - 75 km W of Lata, Solomon Islands\",\"M 8.2 - off the west coast of northern Sumatra\",\"M 8.6 - off the west coast of northern Sumatra\",\"M 7.8 - 206 km SW of Prince Rupert, Canada\",\"M 7.6 - 89 km E of Sulangan, Philippines\",\"M 7.4 - 33 km S of Champerico, Guatemala\",\"M 6.7 - 2 km NNE of Jimalalud, Philippines\",\"M 7.4 - 6 km E of Santiago Llano Grande, Mexico\",\"M 9.1 - 2011 Great Tohoku Earthquake, Japan\",\"M 7.1 - 27 km NNE of Van, Turkey\",\"M 6.9 - 27 km NNW of Tachilek, Myanmar\",\"M 7.2 - 42 km NNW of Carahue, Chile\",\"M 7.0 - 10 km SE of Léogâne, Haiti\",\"M 7.0 - Near the south coast of Papua, Indonesia\",\"M 6.9 - 233 km NNW of Qamdo, China\",\"M 7.2 - 12km SW of Delta, B.C., MX\",\"M 7.0 - 19 km NE of Methven, New Zealand\",\"M 8.8 - 36 km WNW of Quirihue, Chile\",\"M 7.8 - 97 km WSW of Te Anau, New Zealand\",\"M 7.3 - 46 km NW of Guanaja, Honduras\",\"M 7.9 - 58 km W of Tianpeng, China\",\"M 6.9 - 24 km WSW of Mizusawa, Japan\",\"M 6.5 - 50 km S of Koróni, Greece\",\"M 6.6 - 20 km NNW of Kashiwazaki, Japan\",\"M 6.7 - 46 km NW of Nanao, Japan\",\"M 8.1 - 45 km SSE of Gizo, Solomon Islands\",\"M 7.1 - 30 km SW of Hengchun, Taiwan\",\"M 6.6 - 80 km E of Tilichiki, Russia\",\"M 7.6 - 80 km NE of Tilichiki, Russia\",\"M 7.0 - 160 km SE of Chipinge, Zimbabwe\",\"M 7.6 - 21 km NNE of Muzaffarabad, Pakistan\",\"M 6.6 - 28 km NNW of Maebaru-chūō, Japan\",\"M 7.2 - 32 km SSW of Pizarro, Colombia\",\"M 6.6 - 8 km SSW of Ojiya, Japan\",\"M 6.6 - 13 km SSW of Bam, Iran\",\"M 6.5 - 10 km NE of San Simeon, California\",\"M 8.2 - 134 km SSW of Kushiro, Japan\",\"M 6.8 - 25 km WNW of Dellys, Algeria\",\"M 6.7 - 11 km SE of Aitape, Papua New Guinea\",\"M 6.5 - 59 km SSW of Abhar, Iran\",\"M 7.9 - 75 km E of Cantwell, Alaska\",\"M 7.8 - Southern Qinghai, China\",\"M 6.5 - 32 km WNW of Skýros, Greece\",\"M 6.6 - 5 km S of Cojutepeque, El Salvador\",\"M 7.7 - 17 km NW of Bhachau, Kachchh, Gujarat, India\",\"M 6.5 - 12 km ENE of Selfoss, Iceland\",\"M 6.5 - 25 km E of Selfoss, Iceland\",\"M 6.7 - 8 km ESE of Matsue, Japan\",\"M 6.6 - 62 km SSW of Ialibu, Papua New Guinea\",\"M 7.2 - 8 km S of Düzce, Turkey\",\"M 6.7 - 16 km N of Potrerillos, Honduras\",\"M 7.1 - Hector Mine, CA Earthquake\",\"M 7.6 - 4 km ESE of Derince, Turkey\",\"M 6.6 - 25 km NNW of Mizque, Bolivia\",\"M 6.6 - 52 km ESE of Kerman, Iran\",\"M 7.3 - 58 km E of Qazvin, Iran\",\"M 7.0 - 26 km WSW of Carúpano, Venezuela\",\"M 6.5 - Turkmenistan-Iran border region\",\"M 6.6 - 47 km N of Lijiang, China\",\"M 7.9 - 181 km N of Palu, Indonesia\",\"M 7.2 - 27 km SSE of Nuwaybi‘a, Egypt\",\"M 6.8 - 158 km W of Jinghong, China\",\"M 7.1 - 85 km S of Tungor, Russia\",\"M 6.6 - 10 km W of Aianí, 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4:43\",141.9,7.1,776.0,0.0,6.0,\"Indonesia\"],[\"12\\u002f19\\u002f1995 23:28\",63.4,6.5,650.0,0.0,6.0,\"Indonesia\"],[\"10\\u002f21\\u002f1995 2:38\",159.3,7.2,798.0,0.0,6.0,\"Mexico\"],[\"10\\u002f19\\u002f1995 2:41\",19.7,6.8,711.0,0.0,6.0,\"Indonesia\"],[\"9\\u002f10\\u002f1995 15:35\",33.0,8.0,985.0,0.0,8.0,\"Mexico\"],[\"8\\u002f28\\u002f1995 10:46\",12.2,6.6,670.0,0.0,5.0,\"Indonesia\"],[\"8\\u002f19\\u002f1995 21:43\",119.6,6.6,670.0,0.0,6.0,\"Colombia\"],[\"8\\u002f16\\u002f1995 16:24\",18.7,6.6,670.0,0.0,4.0,\"Indonesia\"],[\"8\\u002f14\\u002f1995 4:37\",127.9,6.7,691.0,0.0,6.0,\"Papua New Guinea\"],[\"7\\u002f30\\u002f1995 5:11\",45.6,8.0,985.0,0.0,8.0,\"Chile\"],[\"6\\u002f29\\u002f1995 12:24\",139.4,6.6,670.0,0.0,5.0,\"Vanuatu\"],[\"6\\u002f15\\u002f1995 0:15\",14.2,6.5,650.0,0.0,7.0,\"Greece\"],[\"5\\u002f16\\u002f1995 20:12\",20.2,7.7,912.0,0.0,4.0,\"Indonesia\"],[\"5\\u002f14\\u002f1995 11:33\",11.2,6.9,732.0,0.0,6.0,\"Indonesia\"],[\"5\\u002f5\\u002f1995 3:53\",16.0,7.1,776.0,0.0,7.0,\"Philippines\"],[\"3\\u002f10\\u002f1995 12:44\",16.7,6.5,650.0,0.0,7.0,\"Ecuador\"],[\"1\\u002f11\\u002f1995 0:35\",19.9,6.7,691.0,0.0,7.0,\"Chile\"]],\"geo\":\"geo\",\"hovertemplate\":\"\\u003cb\\u003e%{hovertext}\\u003c\\u002fb\\u003e\\u003cbr\\u003e\\u003cbr\\u003eAlert Level=green\\u003cbr\\u003elatitude=%{lat}\\u003cbr\\u003elongitude=%{lon}\\u003cbr\\u003edate_time=%{customdata[0]}\\u003cbr\\u003edepth=%{customdata[1]}\\u003cbr\\u003emagnitude=%{customdata[2]}\\u003cbr\\u003esig=%{customdata[3]}\\u003cbr\\u003ecdi=%{customdata[4]}\\u003cbr\\u003emmi=%{customdata[5]}\\u003cbr\\u003ecountry=%{customdata[6]}\\u003cextra\\u003e\\u003c\\u002fextra\\u003e\",\"hovertext\":[\"M 7.6 - Pulau Pulau Tanimbar, Indonesia\",\"M 6.5 - 42 km W of Sola, Vanuatu\",\"M 6.5 - 43 km S of Intipucá, El Salvador\",\"M 6.6 - 25 km ESE of Loncopué, Argentina\",\"M 6.6 - south of the Fiji Islands\",\"M 7.0 - 96 km N of Tuban, Indonesia\",\"M 6.5 - 84 km NNW of San Antonio de los Cobres, Argentina\",\"M 6.5 - 40 km SSE of Jurm, Afghanistan\",\"M 6.8 - \",\"M 6.9 - 204 km SW of Bengkulu, Indonesia\",\"M 6.6 - 44 km SE of Kangding, China\",\"M 6.5 - 107 km SSW of Tarauacá, Brazil\",\"M 6.5 - 107 km SSW of Tarauacá, Brazil\",\"M 6.5 - 49 km NW of Barranca, Peru\",\"M 6.5 - 49 km NW of Barranca, Peru\",\"M 6.6 - 48 km WNW of Pólis, Cyprus\",\"M 6.6 - northern Qinghai, China\",\"M 7.3 - 125 km NNE of Lospalos, Timor Leste\",\"M 8.1 - South Sandwich Islands region\",\"M 6.7 - Mauritius - Reunion region\",\"M 6.5 - 207 km WSW of Haveluloto, Tonga\",\"M 6.5 - 225 km WNW of Pangai, Tonga\",\"M 6.5 - Kermadec Islands region\",\"M 6.5 - Kermadec Islands region\",\"M 6.7 - 29 km SSW of Turt, Mongolia\",\"M 6.5 - 94 km NW of Vallenar, Chile\",\"M 6.5 - central Mid-Atlantic Ridge\",\"M 6.9 - 222 km SSE of Katabu, Indonesia\",\"M 6.9 - 122 km WSW of Bengkulu, Indonesia\",\"M 6.8 - 138 km WSW of Bengkulu, Indonesia\",\"M 6.6 - 97 km N of Batang, Indonesia\",\"M 6.6 - 97 km N of Batang, Indonesia\",\"M 6.8 - Banda Sea\",\"M 6.5 - 91 km S of Néa Anatolí, Greece\",\"M 6.5 - 91 km S of Néa Anatolí, Greece\",\"M 6.5 - 94 km NW of Vallenar, Chile\",\"M 6.5 - 166km SSW of Ndoi Island, Fiji\",\"M 6.5 - 166km SSW of Ndoi Island, Fiji\",\"M 6.9 - 152 km SW of Labuan, Indonesia\",\"M 6.6 - 200km W of Broome, Australia\",\"M 6.9 - 134km WSW of Kota Ternate, Indonesia\",\"M 7.1 - 18km W of Searles Valley, CA\",\"M 6.8 - 90km W of Tarauaca, Brazil\",\"M 6.7 - Prince Edward Islands region\",\"M 6.8 - 90km W of Tarauaca, Brazil\",\"M 6.5 - 237 km SW of Port McNeill, Canada\",\"M 6.9 - Kermadec Islands region\",\"M 6.5 - south of the Fiji Islands\",\"M 6.9 - Kermadec Islands region\",\"M 7.1 - 136 km W of Iñapari, Peru\",\"M 6.5 - 124 km N of Labuan Bajo, Indonesia\",\"M 6.9 - 36 km NW of Labuan Lombok, Indonesia\",\"M 6.9 - 36 km NW of Labuan Lombok, Indonesia\",\"M 6.8 - 38 km SE of Boyuibe, Bolivia\",\"M 6.8 - 38 km SE of Boyuibe, Bolivia\",\"M 6.5 - 12 km SSW of Kawalu, Indonesia\",\"M 7.3 - 29 km S of Halabja, Iraq\",\"M 6.7 - 181 km NNE of Maumere, Indonesia\",\"M 7.1 - 1 km S of Matzaco, Mexico\",\"M 6.5 - 168 km SW of Mawu, China\",\"M 6.5 - 168 km SW of Mawu, China\",\"M 6.6 - 11 km ENE of Kos, Greece\",\"M 6.6 - 37 km WNW of Poso, Indonesia\",\"M 6.5 - 132 km WSW of Moijabana, Botswana\",\"M 6.5 - 41 km E of Padilla, Bolivia\",\"M 6.7 - 151 km NE of Lospalos, Timor Leste\",\"M 6.5 - 79 km WSW of Kirakira, Solomon Islands\",\"M 6.5 - 14 km WNW of Reuleuet, Indonesia\",\"M 6.6 - 161 km NNE of Pamanukan, Indonesia\",\"M 6.6 - 42 km WSW of Ishkashim, Afghanistan\",\"M 6.8 - 26 km W of Chauk, Myanmar\",\"M 6.5 - 79 km WSW of Kirakira, Solomon Islands\",\"M 6.6 - 80 km W of Sungai Penuh, Indonesia\",\"M 6.9 - 76 km SE of Mawlaik, Myanmar\",\"M 6.6 - 42 km WSW of Ishkashim, Afghanistan\",\"M 7.8 - southwest of Sumatra, Indonesia\",\"M 6.7 - 29 km W of Imphal, Manipur\",\"M 7.8 - southwest of Sumatra, Indonesia\",\"M 6.7 - 29 km W of Imphal, Manipur, India\",\"M 6.9 - 107 km SE of Amahai, Indonesia\",\"M 7.2 - 104 km W of Murghob, Tajikistan\",\"M 6.7 - 125 km SSW of Tarauacá, Brazil\",\"M 7.6 - 185 km WNW of Iñapari, Peru\",\"M 6.5 - 19 km SSW of Lefkáda, Greece\",\"M 6.7 - 140 km WSW of Makurazaki, Japan\",\"M 6.9 - 85 km NW of Coquimbo, Chile\",\"M 6.9 - 85 km NW of Coquimbo, Chile\",\"M 6.6 - Nicobar Islands, India region\",\"M 6.5 - 47 km NW of Maubara, Timor Leste\",\"M 7.5 - Hindu Kush region, Afghanistan\",\"M 6.6 - 28 km N of Sorong, Indonesia\",\"M 6.6 - Nicobar Islands, India region\",\"M 6.5 - Bonin Islands, Japan region\",\"M 7.3 - Nepal\",\"M 7.0 - 150 km NNE of Maumere, Indonesia\",\"M 6.6 - 106 km WSW of Sangay, Philippines\",\"M 6.7 - Kermadec Islands, New Zealand\",\"M 6.5 - Kermadec Islands, New Zealand\",\"M 6.6 - 75 km S of Kirakira, Solomon Islands\",\"M 6.5 - 45 km WSW of Iquique, Chile\",\"M 6.9 - 90 km WNW of Iquique, Chile\",\"M 6.9 - 272 km ESE of Hotan, China\",\"M 6.6 - 106 km WSW of Sangay, Philippines\",\"M 6.9 - 90 km WNW of Iquique, Chile\",\"M 6.5 - Fiji region\",\"M 6.6 - 36 km W of Kíssamos, Greece\",\"M 6.7 - Sea of Okhotsk\",\"M 6.8 - 129 km WSW of Khuzdar, Pakistan\",\"M 6.5 - Izu Islands, Japan region\",\"M 6.5 - 180 km NE of Lospalos, Timor Leste\",\"M 6.6 - 26 km NE of Kandrian, Papua New Guinea\",\"M 6.7 - south of Java, Indonesia\",\"M 7.0 - 33 km NW of Lata, Solomon Islands\",\"M 7.1 - 112 km WSW of Lata, Solomon Islands\",\"M 6.8 - Pagan region, Northern Mariana Islands\",\"M 7.5 - 110 km SW of Edna Bay, Alaska\",\"M 7.7 - 79 km ESE of Khash, Iran\",\"M 6.5 - Izu Islands, Japan region\",\"M 6.5 - 87 km SE of Ozernovskiy, Russia\",\"M 7.0 - 33 km NW of Lata, Solomon Islands\",\"M 7.1 - 112 km WSW of Lata, Solomon Islands\",\"M 6.9 - 18 km SSW of Obihiro, Japan\",\"M 6.9 - 18 km SSW of Obihiro, Japan\",\"M 6.7 - Sea of Okhotsk\",\"M 6.5 - 180 km NE of Lospalos, Timor Leste\",\"M 7.5 - 110 km SW of Edna Bay, Alaska\",\"M 6.7 - 59 km SSW of Sola, Vanuatu\",\"M 7.1 - Banda Sea\",\"M 6.6 - 163 km ENE of Tual, Indonesia\",\"M 7.3 - 234 km SE of Ōfunato, Japan\",\"M 7.0 - 69 km ENE of San Luis, Mexico\",\"M 6.5 - 32 km SW of Champerico, Guatemala\",\"M 6.5 - 32 km SW of Champerico, Guatemala\",\"M 6.8 - 51 km NNE of Shwebo, Myanmar\",\"M 6.8 - 51 km NNE of Shwebo, Myanmar\",\"M 7.4 - 33 km S of Champerico, Guatemala\",\"M 6.5 - Costa Rica\",\"M 7.1 - Banda Sea\",\"M 6.6 - 163 km ENE of Tual, Indonesia\",\"M 7.2 - off the west coast of northern Sumatra\",\"M 7.3 - 11 km WNW of San Agustín, Colombia\",\"M 7.6 - 11 km ENE of Hojancha, Costa Rica\",\"M 7.3 - 126 km S of Puerto El Triunfo, El Salvador\",\"M 7.7 - 156 km ENE of Poronaysk, Russia\",\"M 6.6 - 76 km W of Neiafu, Tonga\",\"M 6.7 - 86 km SSE of Manokwari, Indonesia\",\"M 6.8 - 140 km N of Lae, Papua New Guinea\",\"M 7.0 - 69 km ENE of San Luis, Mexico\",\"M 6.5 - 41 km NW of El Habillal, Mexico\",\"M 8.2 - off the west coast of northern Sumatra\",\"M 8.6 - off the west coast of northern Sumatra\",\"M 6.6 - 11 km ENE of Kainantu, Papua New Guinea\",\"M 6.7 - 38 km NE of Saryg-Sep, Russia\",\"M 6.7 - 2 km NNE of Jimalalud, Philippines\",\"M 7.1 - 125 km W of Port-Vila, Vanuatu\",\"M 7.1 - 125 km W of Port-Vila, Vanuatu\",\"M 7.2 - off the west coast of northern Sumatra\",\"M 6.6 - 45 km NNE of Saryg-Sep, Russia\",\"M 7.1 - 25 km SSE of Wau, Papua New Guinea\",\"M 6.5 - 6 km SSW of Nuevo Balsas, Mexico\",\"M 6.5 - 6 km SSW of Nuevo Balsas, Mexico\",\"M 6.6 - 17 km SSW of Ishikawa, Japan\",\"M 6.5 - 81 km NE of Hasaki, Japan\",\"M 7.7 - 272 km ESE of Kamaishi, Japan\",\"M 6.8 - 124 km NE of Wé, New Caledonia\",\"M 6.9 - 43 km NW of Mangan, India\",\"M 6.7 - 99 km NE of Miyako, Japan\",\"M 6.7 - 68 km WSW of Kabanjahe, Indonesia\",\"M 7.0 - 133 km SSE of Isangel, Vanuatu\",\"M 7.3 - 120 km SE of Ōfunato, Japan\",\"M 7.0 - 64 km ESE of Contamana, Peru\",\"M 6.5 - 65 km SSW of Port-Vila, Vanuatu\",\"M 6.6 - 103 km NE of Angoram, Papua New Guinea\",\"M 7.6 - Kermadec Islands region\",\"M 7.1 - 29 km ESE of Ishinomaki, Japan\",\"M 6.6 - 7 km SW of Helio García Alfaro, Mexico\",\"M 7.6 - Kermadec Islands region\",\"M 6.8 - 124 km NE of Wé, New Caledonia\",\"M 6.6 - 17 km SSW of Ishikawa, Japan\",\"M 7.1 - 29 km ESE of Ishinomaki, Japan\",\"M 6.6 - 7 km SW of Helio García Alfaro, Mexico\",\"M 6.6 - 50 km ESE of Tōhoku, Japan\",\"M 6.5 - 81 km NE of Hasaki, Japan\",\"M 7.7 - 272 km ESE of Kamaishi, Japan\",\"M 7.9 - 47 km E of Arai, Japan\",\"M 9.1 - 2011 Great Tohoku Earthquake, Japan\",\"M 7.0 - 133 km SSE of Isangel, Vanuatu\",\"M 7.3 - 120 km SE of Ōfunato, Japan\",\"M 6.9 - 21 km N of Tomé, Chile\",\"M 7.2 - 46 km WSW of Dalbandin, Pakistan\",\"M 7.0 - 118 km NNE of Tadine, New Caledonia\",\"M 7.2 - 42 km NNW of Carahue, Chile\",\"M 7.3 - 141 km W of Isangel, Vanuatu\",\"M 6.7 - 111 km SE of Bam, Iran\",\"M 7.1 - Ecuador\",\"M 6.6 - 52 km ENE of Kandrian, Papua New Guinea\",\"M 6.9 - 99 km WSW of Kirakira, Solomon Islands\",\"M 7.0 - 52 km NW of Santa Cruz, Chile\",\"M 6.9 - 61 km NW of Santa Cruz, Chile\",\"M 6.7 - 97 km SSW of El Huitusi, Mexico\",\"M 7.0 - 19 km NE of Methven, New Zealand\",\"M 7.1 - Ecuador\",\"M 7.3 - 33 km NW of Port-Vila, Vanuatu\",\"M 7.0 - 72 km ESE of Kimbe, Papua New Guinea\",\"M 6.5 - 118 km ESE of Madang, Papua New Guinea\",\"M 7.6 - 61 km W of Bantogon, Philippines\",\"M 6.6 - 135 km SSE of Biak, Indonesia\",\"M 7.0 - 121 km SSE of Biak, Indonesia\",\"M 7.5 - Nicobar Islands, India region\",\"M 7.2 - 45 km SSW of Meulaboh, Indonesia\",\"M 6.6 - 23 km WNW of Talcahuano, Chile\",\"M 6.8 - 127 km SE of Gizo, Solomon Islands\",\"M 6.9 - 99 km WSW of Kirakira, Solomon Islands\",\"M 6.5 - 118 km ESE of Madang, Papua New Guinea\",\"M 7.8 - 75 km E of Sinabang, Indonesia\",\"M 7.2 - 12km SW of Delta, Baja California, B.C., MX\",\"M 6.5 - 48 km NW of Sola, Vanuatu\",\"M 6.7 - 52 km NNW of Tomé, Chile\",\"M 7.0 - 52 km NW of Santa Cruz, Chile\",\"M 6.9 - 61 km NW of Santa Cruz, Chile\",\"M 6.8 - 141 km W of Bengkulu, Indonesia\",\"M 6.6 - 23 km WNW of Talcahuano, Chile\",\"M 6.5 - 48 km NW of Sola, Vanuatu\",\"M 7.1 - 94 km SE of Gizo, Solomon Islands\",\"M 6.6 - 98 km SE of Gizo, Solomon Islands\",\"M 7.4 - 124 km W of Lebu, Chile\",\"M 7.0 - 10 km SE of Léogâne, Haiti\",\"M 6.5 - 37 km WNW of Ferndale, California\",\"M 6.8 - 127 km SE of Gizo, Solomon Islands\",\"M 7.1 - 94 km SE of Gizo, Solomon Islands\",\"M 6.6 - 98 km SE of Gizo, Solomon Islands\",\"M 7.3 - 77 km ENE of Ba, Fiji\",\"M 6.6 - 29 km NNW of Bima, Indonesia\",\"M 6.9 - 268 km WSW of Tual, Indonesia\",\"M 6.8 - 188 km WNW of Sola, Vanuatu\",\"M 7.4 - 143 km NW of Sola, Vanuatu\",\"M 7.8 - 196 km NW of Sola, Vanuatu\",\"M 7.7 - 148 km NW of Sola, Vanuatu\",\"M 6.6 - 49 km SSE of Sungai Penuh, Indonesia\",\"M 7.6 - 30 km WSW of Pariaman, Indonesia\",\"M 8.1 - 168 km SSW of Matavai, Samoa\",\"M 7.3 - 77 km ENE of Ba, Fiji\",\"M 7.1 - 161 km S of Yamada, Japan\",\"M 7.0 - 66 km SSW of Banjar, Indonesia\",\"M 6.6 - 244 km SSE of Tateyama, Japan\",\"M 6.6 - 29 km NNW of Bima, Indonesia\",\"M 7.5 - 266 km N of Bamboo Flat, India\",\"M 6.8 - 188 km WNW of Sola, Vanuatu\",\"M 7.1 - 161 km S of Yamada, Japan\",\"M 6.9 - 96 km WNW of Bahía de Kino, Mexico\",\"M 6.9 - 96 km WNW of Bahía de Kino, Mexico\",\"M 6.6 - 50 km S of Jurm, Afghanistan\",\"M 7.7 - 140 km WNW of Manokwari, Indonesia\",\"M 7.2 - 196 km SSE of Sarangani, Philippines\",\"M 6.6 - 49 km SSE of Sungai Penuh, Indonesia\",\"M 7.4 - 86 km WNW of Manokwari, Indonesia\",\"M 6.6 - 50 km S of Jurm, Afghanistan\",\"M 7.7 - 140 km WNW of Manokwari, Indonesia\",\"M 6.5 - 9 km SSW of General Pascual Fentes, Mexico\",\"M 6.6 - 73 km WNW of Tobelo, Indonesia\",\"M 6.7 - 131 km SE of Nookat, Kyrgyzstan\",\"M 6.8 - 122 km SSE of Obihiro, Japan\",\"M 6.6 - 73 km WNW of Tobelo, Indonesia\",\"M 6.9 - 75 km WNW of Sola, Vanuatu\",\"M 6.7 - 221 km NE of Jumla, Nepal\",\"M 6.9 - 75 km WNW of Sola, Vanuatu\",\"M 6.8 - 29 km ENE of Morioka, Japan\",\"M 7.0 - 107 km E of Namie, Japan\",\"M 6.9 - 151 km E of Namie, Japan\",\"M 6.9 - 78 km NE of Hasaki, Japan\",\"M 6.6 - 124 km SW of Bamboo Flat, India\",\"M 7.9 - 58 km W of Tianpeng, China\",\"M 6.9 - 78 km NE of Hasaki, Japan\",\"M 7.3 - 71 km SW of Isangel, Vanuatu\",\"M 7.2 - 226 km SE of Hotan, China\",\"M 6.9 - Philippine Islands region\",\"M 6.9 - Philippine Islands region\",\"M 6.5 - 9 km SSW of General Pascual Fentes, Mexico\",\"M 7.4 - 18 km WNW of Basse-Pointe, Martinique\",\"M 6.6 - 60 km SSE of Kirakira, Solomon Islands\",\"M 6.5 - 34 km N of Dompu, Indonesia\",\"M 6.8 - 107 km N of Lae, Papua New Guinea\",\"M 6.8 - 30 km E of Macas, Ecuador\",\"M 6.8 - 138 km W of Bengkulu, Indonesia\",\"M 6.8 - 70 km N of Te Anau, New Zealand\",\"M 6.8 - 39 km WNW of Timbiquí, Colombia\",\"M 6.8 - 154 km ESE of Kokopo, Papua New Guinea\",\"M 6.7 - 118 km SSW of Padang, Indonesia\",\"M 6.5 - Kepulauan Mentawai region, Indonesia\",\"M 7.9 - 87 km SW of Sungai Penuh, Indonesia\",\"M 7.8 - 148 km WSW of Sungai Penuh, Indonesia\",\"M 8.4 - 122 km SW of Bengkulu, Indonesia\",\"M 6.8 - 39 km WNW of Timbiquí, Colombia\",\"M 7.2 - 97 km S of Lata, Solomon Islands\",\"M 6.5 - 31 km WSW of Malango, Solomon Islands\",\"M 8.0 - 41 km SW of San Vicente de Cañete, Peru\",\"M 7.5 - 35 km NNE of Rengasdengklok, Indonesia\",\"M 7.5 - 35 km NNE of Rengasdengklok, Indonesia\",\"M 7.2 - 56 km E of Luganville, Vanuatu\",\"M 6.9 - 140 km NNW of Tobelo, Indonesia\",\"M 6.8 - 133 km WNW of Mikuni, Japan\",\"M 6.9 - 113 km SSE of Panguna, Papua New Guinea\",\"M 6.6 - 99 km SSE of Panguna, Papua New Guinea\",\"M 8.1 - 45 km SSE of Gizo, Solomon Islands\",\"M 6.7 - 206 km SSW of Sofifi, Indonesia\",\"M 7.2 - 97 km S of Lata, Solomon Islands\",\"M 8.1 - east of the Kuril Islands\",\"M 7.2 - 56 km E of Luganville, Vanuatu\",\"M 6.9 - 113 km SSE of Panguna, Papua New Guinea\",\"M 6.6 - 99 km SSE of Panguna, Papua New Guinea\",\"M 6.9 - 26 km W of Hengchun, Taiwan\",\"M 8.3 - Kuril Islands\",\"M 6.6 - 155 km SE of Kimbe, Papua New Guinea\",\"M 6.7 - 14 km SW of Puako, Hawaii\",\"M 6.9 - 201 km ESE of Hihifo, Tonga\",\"M 6.8 - 49 km S of Panguna, Papua New Guinea\",\"M 6.8 - 51 km NE of Norsup, Vanuatu\",\"M 6.7 - 26 km NE of Kýthira, Greece\",\"M 6.6 - 155 km SE of Kimbe, Papua New Guinea\",\"M 6.8 - 51 km NE of Norsup, Vanuatu\",\"M 6.5 - 130 km NNW of Lautoka, Fiji\",\"M 6.6 - 42 km NNW of Tilichiki, Russia\",\"M 6.8 - 256 km SSW of Singkil, Indonesia\",\"M 8.0 - 47 km SSE of Pangai, Tonga\",\"M 8.0 - 50 km ESE of Pangai, Tonga\",\"M 6.5 - 73 km WNW of Copiapó, Chile\",\"M 6.7 - 78 km WNW of Copiapó, Chile\",\"M 6.5 - 130 km NNW of Lautoka, Fiji\",\"M 6.6 - 75 km SSW of Bahía de Kino, Mexico\",\"M 8.0 - 50 km ESE of Pangai, Tonga\",\"M 8.0 - 47 km SSE of Pangai, Tonga\",\"M 6.7 - 26 km NE of Kýthira, Greece\",\"M 6.6 - 75 km SSW of Bahía de Kino, Mexico\",\"M 6.5 - 53 km SW of Ishkashim, Afghanistan\",\"M 6.5 - 53 km SW of Ishkashim, Afghanistan\",\"M 6.8 - 76 km ESE of Kalemie, Democratic Republic of the Congo\",\"M 6.5 - 80 km ESE of Ishinomaki, Japan\",\"M 6.8 - 68 km NNE of San Pedro de Atacama, Chile\",\"M 7.6 - 21 km NNE of Muzaffarabad, Pakistan\",\"M 6.7 - 113 km SW of Padang, Indonesia\",\"M 7.5 - 39 km NW of Yurimaguas, Peru\",\"M 7.6 - 135 km E of Kokopo, Papua New Guinea\",\"M 6.7 - 52 km SW of Sola, Vanuatu\",\"M 7.2 - Nicobar Islands, India region\",\"M 6.7 - 94 km WSW of Singkil, Indonesia\",\"M 6.6 - 32 km W of San Juan del Sur, Nicaragua\",\"M 7.2 - 153 km W of Big Lagoon, California\",\"M 7.8 - 102 km ENE of Iquique, Chile\",\"M 7.1 - 138 km SW of Palimbang, Philippines\",\"M 6.5 - 106 km SW of Padang, Indonesia\",\"M 6.7 - 113 km SW of Padang, Indonesia\",\"M 8.6 - 78 km WSW of Singkil, Indonesia\",\"M 7.1 - Banda Sea\",\"M 6.5 - 81 km SSW of Katabu, Indonesia\",\"M 6.5 - Pulau-Pulau Talaud, Indonesia\",\"M 6.5 - 80 km ESE of Ishinomaki, Japan\",\"M 6.7 - 52 km SW of Sola, Vanuatu\",\"M 7.1 - 138 km SW of Palimbang, Philippines\",\"M 7.1 - Banda Sea\",\"M 6.6 - Nicobar Islands, India region\",\"M 9.1 - 2004 Sumatra - Andaman Islands Earthquake\",\"M 8.1 - north of Macquarie Island\",\"M 6.8 - 36 km S of George Town, Cayman Islands\",\"M 6.8 - 54 km SSW of Nemuro, Japan\",\"M 7.1 - 29 km SSW of Nabire, Indonesia\",\"M 7.1 - 255 km W of Riverton, New Zealand\",\"M 7.5 - 63 km NW of Maubara, Timor Leste\",\"M 7.5 - 63 km NW of Maubara, Timor Leste\",\"M 6.7 - 80 km SSE of Kirakira, Solomon Islands\",\"M 6.7 - 80 km SSE of Kirakira, Solomon Islands\",\"M 6.7 - 189 km SW of Port McNeill, Canada\",\"M 7.0 - 43 km SSW of Masachapa, Nicaragua\",\"M 6.5 - 9 km W of Talisay, Philippines\",\"M 6.8 - 60 km SSE of Kirakira, Solomon Islands\",\"M 6.9 - 24 km ENE of Atlasovo, Russia\",\"M 6.6 - 129 km ESE of Shingō, Japan\",\"M 7.4 - 118 km ESE of Shingō, Japan\",\"M 7.2 - 94 km SE of Shingō, Japan\",\"M 6.5 - 86 km NNW of Sola, Vanuatu\",\"M 6.5 - 67 km ESE of Teno, Chile\",\"M 6.5 - 9 km W of Talisay, Philippines\",\"M 6.5 - 117 km WNW of Manokwari, Indonesia\",\"M 7.3 - Near the south coast of Papua, Indonesia\",\"M 6.9 - 24 km ENE of Atlasovo, Russia\",\"M 6.6 - 129 km ESE of Shingō, Japan\",\"M 7.4 - 118 km ESE of Shingō, Japan\",\"M 7.2 - 94 km SE of Shingō, Japan\",\"M 6.6 - Afghanistan-Tajikistan-Pakistan region\",\"M 6.6 - 11 km N of Cañete, Chile\",\"M 7.0 - 28 km S of Nabire, Indonesia\",\"M 6.5 - 86 km NNW of Sola, Vanuatu\",\"M 6.6 - Afghanistan-Tajikistan-Pakistan region\",\"M 6.7 - 189 km SW of Port McNeill, Canada\",\"M 6.7 - 38 km SSW of Nabire, Indonesia\",\"M 7.3 - Near the south coast of Papua, Indonesia\",\"M 7.0 - 28 km S of Nabire, Indonesia\",\"M 6.7 - 107 km NW of Ambon, Indonesia\",\"M 7.3 - 201 km ESE of Tadine, New Caledonia\",\"M 6.8 - 92 km E of Yujing, Taiwan\",\"M 6.6 - 51 km NW of Isangel, Vanuatu\",\"M 7.0 - 133 km ESE of Ishinomaki, Japan\",\"M 6.8 - 92 km E of Yujing, Taiwan\",\"M 6.7 - 39 km SSE of Kushiro, Japan\",\"M 6.7 - 9 km S of Aktash, Russia\",\"M 6.5 - 58 km S of Kushiro, Japan\",\"M 7.3 - 29 km S of Aktash, Russia\",\"M 6.6 - 16 km SE of Taungdwingyi, Myanmar\",\"M 6.9 - 25 km ESE of Atlasovo, Russia\",\"M 6.6 - 51 km NW of Isangel, Vanuatu\",\"M 6.6 - 87 km SSE of Kokopo, Papua New Guinea\",\"M 7.0 - 27 km SSW of Ōfunato, Japan\",\"M 7.6 - Scotia Sea\",\"M 6.8 - 114 km ESE of Kokopo, Papua New Guinea\",\"M 6.7 - 191 km SE of Kokopo, Papua New Guinea\",\"M 6.7 - 9 km S of Aktash, Russia\",\"M 6.7 - New Ireland region, Papua New Guinea\",\"M 7.9 - 75 km E of Cantwell, Alaska\",\"M 7.4 - 50 km NW of Sinabang, Indonesia\",\"M 6.6 - 53 km ENE of Cantwell, Alaska\",\"M 6.7 - 72 km S of Manokwari, Indonesia\",\"M 6.7 - 72 km S of Manokwari, Indonesia\",\"M 7.6 - 102 km SSE of Manokwari, Indonesia\",\"M 7.6 - 102 km SSE of Manokwari, Indonesia\",\"M 7.6 - 68 km ESE of Aitape, Papua New Guinea\",\"M 6.5 - 114 km SSE of San Jose Village, Northern Mariana Islands\",\"M 7.6 - 68 km ESE of Aitape, Papua New Guinea\",\"M 6.5 - 14 km SE of Punta de Burica, Panama\",\"M 6.6 - 20 km SW of Monte Patria, Chile\",\"M 6.7 - 190 km NW of Sola, Vanuatu\",\"M 7.1 - 20 km SSW of Merizo Village, Guam\",\"M 6.7 - 31 km SW of Copiapó, Chile\",\"M 6.5 - 107 km NE of Calama, Chile\",\"M 7.5 - Mindanao, Philippines\",\"M 7.4 - 51 km SW of Jurm, Afghanistan\",\"M 7.4 - 51 km SW of Jurm, Afghanistan\",\"M 6.5 - 5 km NE of Sultanda, Turkey\",\"M 6.6 - 33 km WNW of Port-Vila, Vanuatu\",\"M 6.6 - 125 km E of Kimbe, Papua New Guinea\",\"M 6.5 - 5 km NE of Sultanda, Turkey\",\"M 6.7 - 11 km SE of Aitape, Papua New Guinea\",\"M 6.6 - 33 km WNW of Port-Vila, Vanuatu\",\"M 7.2 - 50 km WNW of Port-Vila, Vanuatu\",\"M 6.8 - 22 km WNW of Malango, Solomon Islands\",\"M 6.8 - 62 km SSW of Yonakuni, Japan\",\"M 6.5 - 3 km NW of Hanamaki, Japan\",\"M 7.0 - 69 km SSE of Inarajan Village, Guam\",\"M 6.5 - 108 km WNW of Manokwari, Indonesia\",\"M 7.1 - 16 km NE of Port-Olry, Vanuatu\",\"M 6.6 - 74 km S of Kokhanok, Alaska\",\"M 7.6 - 51 km SW of Punta de Bombón, Peru\",\"M 6.6 - 31 km S of Achanizo, Peru\",\"M 8.4 - 6 km SSW of Atico, Peru\",\"M 6.6 - 31 km S of Achanizo, Peru\",\"M 6.7 - 128 km SSE of Panguna, Papua New Guinea\",\"M 6.8 - 16 km SSW of Kure, Japan\",\"M 6.8 - 7 km SSE of Longbranch, Washington\",\"M 6.5 - 3 km NW of Hanamaki, Japan\",\"M 7.7 - 28 km SSW of Puerto El Triunfo, El Salvador\",\"M 6.9 - 47 km S of Old Harbor, Alaska\",\"M 7.1 - 16 km NE of Port-Olry, Vanuatu\",\"M 6.8 - Mindanao, Philippines\",\"M 6.8 - Mindanao, Philippines\",\"M 7.5 - 21 km SE of Lukatan, Philippines\",\"M 7.2 - 75 km N of San Antonio de los Cobres, Argentina\",\"M 6.8 - 15 km SSE of Baku, Azerbaijan\",\"M 7.0 - 191 km ESE of Kokopo, Papua New Guinea\",\"M 6.8 - 98 km WSW of Ambon, Indonesia\",\"M 6.5 - 10 km SW of Juradó, Colombia\",\"M 7.2 - 117 km SSW of Hihifo, Tonga\",\"M 6.5 - 94 km SSE of Shimoda, Japan\",\"M 6.6 - 227 km SE of Kandrian, Papua New Guinea\",\"M 6.7 - 98 km SSW of Bengkulu, Indonesia\",\"M 7.9 - South Indian Ocean\",\"M 6.8 - 35 km SSE of Uglegorsk, Russia\",\"M 6.7 - 95 km S of Bengkulu, Indonesia\",\"M 7.9 - 103 km S of Bengkulu, Indonesia\",\"M 6.8 - 84 km S of Shikotan, Russia\",\"M 6.5 - 59 km SSW of Labuan, Indonesia\",\"M 6.6 - 127 km ESE of Arica, Chile\",\"M 7.1 - 92 km ENE of Kimbe, Papua New Guinea\",\"M 7.5 - 15 km W of San Baltazar Loxicha, Mexico\",\"M 6.5 - 31 km SE of Puli, Taiwan\",\"M 7.7 - 21 km S of Puli, Taiwan\",\"M 6.5 - 31 km SW of Ishkashim, Afghanistan\",\"M 7.0 - 1 km SE of Texcala, Mexico\",\"M 7.3 - 146 km NW of Sola, Vanuatu\",\"M 6.6 - 113 km SE of Kokopo, Papua New Guinea\",\"M 7.1 - 51 km SSE of Kokopo, Papua New Guinea\",\"M 7.4 - 63 km W of Kimbe, Papua New Guinea\",\"M 6.8 - 132 km WSW of Haveluloto, Tonga\",\"M 6.6 - 9 km NNW of Pipalkoti, Uttarakhand\",\"M 6.8 - 6 km SE of Camaná, Peru\",\"M 6.6 - 18 km WSW of Nikolski, Alaska\",\"M 7.0 - 110 km ESE of Kokopo, Papua New Guinea\",\"M 6.8 - 131 km WSW of Haveluloto, Tonga\",\"M 6.6 - 8 km WSW of Sumberpucung, Indonesia\",\"M 7.0 - 50 km WNW of Aitape, Papua New Guinea\",\"M 7.0 - 52 km SE of Lata, Solomon Islands\",\"M 6.6 - 108 km SW of Kokopo, Papua New Guinea\",\"M 7.5 - 254 km SSE of Ishigaki, Japan\",\"M 6.6 - 43 km NE of San Fernando, Peru\",\"M 7.0 - 95 km W of Pariaman, Indonesia\",\"M 7.2 - 117 km N of Finschhafen, Papua New Guinea\",\"M 7.0 - 34 km ESE of Port-Olry, Vanuatu\",\"M 6.9 - 121 km E of Kinablangan, Philippines\",\"M 7.2 - 51 km N of Barranca, Peru\",\"M 7.1 - 36 km SW of Monte Patria, Chile\",\"M 7.8 - 192 km WSW of Haveluloto, Tonga\",\"M 6.5 - 13 km NNE of San Sebastián, El Salvador\",\"M 6.5 - 18 km E of Talisay, Philippines\",\"M 6.8 - 52 km WSW of Coquimbo, Chile\",\"M 6.5 - 5 km ENE of Churumuco de Morelos, Mexico\",\"M 6.8 - 99 km S of Isangel, Vanuatu\",\"M 6.5 - 51 km S of Jurm, Afghanistan\",\"M 6.5 - 49 km W of Finschhafen, Papua New Guinea\",\"M 6.5 - 49 km N of Yigo Village, Guam\",\"M 6.7 - 18 km WSW of Scarborough, Trinidad and Tobago\",\"M 6.8 - 24 km SW of Roncesvalles, Colombia\",\"M 6.5 - 131 km W of Iwanai, Japan\",\"M 6.6 - 20 km SSE of Nishinoomote, Japan\",\"M 6.7 - 63 km NW of Sola, Vanuatu\",\"M 6.8 - 26 km NNE of Coyuquilla Norte, Mexico\",\"M 7.9 - 169 km NNE of Maumere, Indonesia\",\"M 6.7 - 44 km NNE of Port-Olry, Vanuatu\",\"M 7.5 - 123 km WSW of Puerto Santa, Peru\",\"M 6.5 - 67 km NNW of Insrom, Indonesia\",\"M 8.1 - 101 km ENE of Biak, Indonesia\",\"M 6.7 - 123 km E of Namie, Japan\",\"M 7.1 - 297 km NE of Lospalos, Timor Leste\",\"M 6.5 - 130 km SSW of Abepura, Indonesia\",\"M 7.2 - 13 km NW of Ocozocoautla de Espinosa, Mexico\",\"M 6.8 - 71 km ESE of Naze, Japan\",\"M 8.0 - 5 km E of El Colomo, Mexico\",\"M 6.6 - 95 km SW of Etchoropo, Mexico\",\"M 6.6 - 7 km WSW of Neira, Colombia\",\"M 6.6 - 205 km SE of Kokopo, Papua New Guinea\",\"M 6.7 - 99 km WSW of Kokopo, Papua New Guinea\",\"M 8.0 - 36 km NNE of Antofagasta, Chile\",\"M 6.6 - 0 km ESE of Isangel, Vanuatu\",\"M 6.5 - 8 km WNW of Galaxídhion, Greece\",\"M 7.7 - 249 km E of Vao, New Caledonia\",\"M 6.9 - 27 km NNW of Maubara, Timor Leste\",\"M 7.1 - 14 km NE of Cabatuan, Philippines\",\"M 6.5 - 50 km SE of Sucúa, Ecuador\",\"M 6.7 - 73 km WSW of Vallenar, 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104 km W of Murghob, Tajikistan\",\"M 6.7 - 21 km SSE of Kodari, Nepal\",\"M 6.5 - 47 km NW of Maubara, Timor Leste\",\"M 6.5 - 45 km WSW of Iquique, Chile\",\"M 6.6 - 36 km W of Kíssamos, Greece\",\"M 7.0 - 101 km SW of Atka, Alaska\",\"M 6.8 - 54 km N of Vallenar, Chile\",\"M 6.5 - 87 km SE of Ozernovskiy, Russia\",\"M 6.5 - 41 km NW of El Habillal, Mexico\",\"M 6.5 - 105 km ESE of Kokopo, Papua New Guinea\",\"M 7.3 - 234 km SE of Ōfunato, Japan\",\"M 7.6 - 11 km ENE of Hojancha, Costa Rica\",\"M 6.7 - 22 km NW of Hacienda La Calera, Chile\",\"M 7.1 - 23 km NE of Constitución, Chile\",\"M 6.6 - 50 km ESE of Tōhoku, Japan\",\"M 7.9 - 47 km E of Arai, Japan\",\"M 6.9 - 21 km N of Tomé, Chile\",\"M 6.9 - 39 km SW of Santiago, Peru\",\"M 6.5 - 4 km ESE of Finschhafen, Papua New Guinea\",\"M 7.1 - 64 km S of Port-Vila, Vanuatu\",\"M 7.2 - 71 km SSW of Port-Vila, Vanuatu\",\"M 6.7 - 41 km NNE of Miyako, Japan\",\"M 6.7 - 38 km W of Constitución, Chile\",\"M 7.5 - Nicobar Islands, India 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Indonesia\",\"M 6.6 - 32 km W of San Juan del Sur, Nicaragua\",\"M 6.6 - 161 km SE of Katsuura, Japan\",\"M 7.2 - 284 km WNW of Sabang, Indonesia\",\"M 7.0 - 51 km SW of Nemuro, Japan\",\"M 7.0 - 43 km SSW of Masachapa, Nicaragua\",\"M 6.8 - 60 km SSE of Kirakira, Solomon Islands\",\"M 6.7 - 38 km SSW of Nabire, Indonesia\",\"M 6.8 - 54 km SSW of Nemuro, Japan\",\"M 6.6 - 11 km N of Cañete, Chile\",\"M 6.5 - 3 km SSE of Progreso, Panama\",\"M 6.6 - 82 km E of Kimbe, Papua New Guinea\",\"M 6.5 - 4 km NW of Can-Avid, Philippines\",\"M 6.8 - 114 km ESE of Kokopo, Papua New Guinea\",\"M 7.4 - 119 km ESE of Shizunai furukawachō, Japan\",\"M 7.2 - 56 km NW of Te Anau, New Zealand\",\"M 6.7 - 39 km SSE of Kushiro, Japan\",\"M 6.5 - 41 km N of Rabaul, Papua New Guinea\",\"M 6.6 - 87 km SSE of Kokopo, Papua New Guinea\",\"M 6.8 - 42 km W of Ovalle, Chile\",\"M 7.0 - 116 km NE of Tobelo, Indonesia\",\"M 6.5 - 46 km NE of Ruteng, Indonesia\",\"M 7.6 - 16 km SSW of Cuyutlán, Mexico\",\"M 6.5 - 33 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