child_care (1).ipynb

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              "             Year  Number Of Children  AGE(6-10)  AGE(11-14)  AGE(15-18)  \\\n",
              "0  Jan - Dec 2014                  18          2          12           4   \n",
              "1  Jan - Dec 2015                  55         12          42           1   \n",
              "2  Jan - Dec 2016                  26          8          17           1   \n",
              "3  Jan - Dec 2017                  44         12          26           6   \n",
              "4  Jan - Dec 2018                  40         13          17          10   \n",
              "\n",
              "                                     State_belong_to  \\\n",
              "0   Punjab-13\\n,Bihar-03\\nDelhi-01,\\nOthers state-01   \n",
              "1  Punjab-15\\n,Uttar Pradesh-32,\\nBihar-02,\\nRaja...   \n",
              "2  Punjab-16,\\nUttar Pradesh-02,\\nBihar-04,\\nOthe...   \n",
              "3  Punjab-23,\\nUttar Pradesh-02,\\nBihar-13,\\nRaja...   \n",
              "4  Punjab-20,\\nUttar Pradesh-06,\\nBihar-06,\\nRaja...   \n",
              "\n",
              "  Repatriated_to their_family_within_State  \\\n",
              "0                                       17   \n",
              "1                                       42   \n",
              "2                                       19   \n",
              "3                                       34   \n",
              "4                                       20   \n",
              "\n",
              "  Shifted_to_another_state_&_Children_Home (concerned_state)  \\\n",
              "0                                                  1           \n",
              "1                                                 12           \n",
              "2                                         5(1 Nepal)           \n",
              "3                                                 10           \n",
              "4                              15 (4 shift to Nepal)           \n",
              "\n",
              "                                             Remarks  \n",
              "0                                                NaN  \n",
              "1  01 child run away from Children Home\\n(27 chil...  \n",
              "2  02 children run away from home.\\n01 child shif...  \n",
              "3  (13 children rescued from Child Labour from S....  \n",
              "4  03 children still staying children home\\n04 ch...  "
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              "      <th>Year</th>\n",
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              "      <td>Jan - Dec 2014</td>\n",
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              "      <td>6</td>\n",
              "      <td>Punjab-23,\\nUttar Pradesh-02,\\nBihar-13,\\nRaja...</td>\n",
              "      <td>34</td>\n",
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              "summary": "{\n  \"name\": \"data\",\n  \"rows\": 10,\n  \"fields\": [\n    {\n      \"column\": \"Year\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 10,\n        \"samples\": [\n          \"Jan - Dec 2022\",\n          \"Jan - Dec 2015\",\n          \"Jan - Dec 2019\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Number Of Children\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 15,\n        \"min\": 9,\n        \"max\": 55,\n        \"num_unique_values\": 10,\n        \"samples\": [\n          31,\n          55,\n          33\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"AGE(6-10)\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 4,\n        \"min\": 1,\n        \"max\": 13,\n        \"num_unique_values\": 6,\n        \"samples\": [\n          2,\n          12,\n          3\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"AGE(11-14)\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 12,\n        \"min\": 5,\n        \"max\": 42,\n        \"num_unique_values\": 9,\n        \"samples\": [\n          10,\n          42,\n          40\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"AGE(15-18)\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 3,\n        \"min\": 1,\n        \"max\": 10,\n        \"num_unique_values\": 7,\n        \"samples\": [\n          4,\n          1,\n          8\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"State_belong_to\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 10,\n        \"samples\": [\n          \"Punjab-11\\nUttar Pradesh-07\\nBihar-07\",\n          \"Punjab-15\\n,Uttar Pradesh-32,\\nBihar-02,\\nRajasthan-01,\\nRunaway-01,Haryana-01,\\nDelhi-01,\\nWest Bengal-02\\n\",\n          \"Punjab-24,\\nUttar Pradesh-02,Telangana-02,\\nBihar-05\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Repatriated_to their_family_within_State\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 10,\n        \"samples\": [\n          \"25(13 children belong to migration families)\",\n          42,\n          \"24 (16 children belong to migration families)\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Shifted_to_another_state_&_Children_Home (concerned_state)\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 8,\n        \"samples\": [\n          12,\n          9,\n          1\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Remarks\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 9,\n        \"samples\": [\n          \"13 children rescued from Child Labour.\\n06 children still at home\",\n          \"02 children run away from home.\\n01 child shift to Nepal Embassy for repatriation  \",\n          \"35 children rescued from Child Labour from Jalandhar from one industry.\\n01 child still at home\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 4
        }
      ],
      "source": [
        "import pandas as pd\n",
        "\n",
        "# Load the data from the Excel file\n",
        "file_path = '/content/final_adj.xlsx'\n",
        "data = pd.read_excel(file_path)\n",
        "\n",
        "# Display the first few rows of the dataset to understand its structure and content\n",
        "data.head()\n"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import pandas as pd\n",
        "import numpy as np\n",
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns"
      ],
      "metadata": {
        "id": "6iJGqgzilWRd"
      },
      "execution_count": 5,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Basic descriptive statistics\n",
        "print(data.describe())\n",
        "\n",
        "# Frequency of specific variables\n",
        "print(data['State_belong_to'].value_counts())\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "xsayuSkslX4K",
        "outputId": "637716e3-322a-4952-e001-d756cb70c32c"
      },
      "execution_count": 6,
      "outputs": [
        {
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          "name": "stdout",
          "text": [
            "       Number Of Children  AGE(6-10)  AGE(11-14)  AGE(15-18)\n",
            "count           10.000000   10.00000   10.000000   10.000000\n",
            "mean            32.100000    7.50000   19.300000    5.300000\n",
            "std             15.073524    4.88194   12.832684    3.465705\n",
            "min              9.000000    1.00000    5.000000    1.000000\n",
            "25%             20.000000    3.00000   10.500000    1.750000\n",
            "50%             32.000000    8.00000   16.500000    5.500000\n",
            "75%             43.000000   12.00000   23.750000    8.000000\n",
            "max             55.000000   13.00000   42.000000   10.000000\n",
            "State_belong_to\n",
            "Punjab-13\\n,Bihar-03\\nDelhi-01,\\nOthers state-01                                                                   1\n",
            "Punjab-15\\n,Uttar Pradesh-32,\\nBihar-02,\\nRajasthan-01,\\nRunaway-01,Haryana-01,\\nDelhi-01,\\nWest Bengal-02\\n       1\n",
            "Punjab-16,\\nUttar Pradesh-02,\\nBihar-04,\\nOthers state-01,\\nJharkhand-01,\\nNepal-2                                 1\n",
            "Punjab-23,\\nUttar Pradesh-02,\\nBihar-13,\\nRajasthan-01,\\nDelhi-01,Jammu & Kashmir-01,\\nWest Bengal-2,\\nBurma-01    1\n",
            "Punjab-20,\\nUttar Pradesh-06,\\nBihar-06,\\nRajasthan-01,\\nAssam-01,Haryana-01,\\nMadhya Pradesh-01,\\nNepal-04        1\n",
            "Punjab-24,\\nUttar Pradesh-02,Telangana-02,\\nBihar-05                                                               1\n",
            "Punjab-08,\\nUttar Pradesh-25,\\nBihar-15,Jammu & Kashmir-01                                                         1\n",
            "Punjab-09                                                                                                          1\n",
            "Punjab-11\\nUttar Pradesh-07\\nBihar-07                                                                              1\n",
            "Punjab-05\\nUttar Pradesh-04\\nBihar-02                                                                              1\n",
            "Name: count, dtype: int64\n"
          ]
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns\n",
        "\n",
        "# Set up the figure for multiple plots\n",
        "plt.figure(figsize=(18, 6))\n",
        "\n",
        "# Plot for AGE(6-10)\n",
        "plt.subplot(1, 3, 1)\n",
        "sns.histplot(data['AGE(6-10)'], kde=True, bins=10, color='blue')\n",
        "plt.title('Distribution of Ages 6-10')\n",
        "plt.xlabel('Number of Children')\n",
        "plt.ylabel('Frequency')\n",
        "\n",
        "# Plot for AGE(11-14)\n",
        "plt.subplot(1, 3, 2)\n",
        "sns.histplot(data['AGE(11-14)'], kde=True, bins=10, color='green')\n",
        "plt.title('Distribution of Ages 11-14')\n",
        "plt.xlabel('Number of Children')\n",
        "plt.ylabel('Frequency')\n",
        "\n",
        "# Plot for AGE(15-18)\n",
        "plt.subplot(1, 3, 3)\n",
        "sns.histplot(data['AGE(15-18)'], kde=True, bins=10, color='red')\n",
        "plt.title('Distribution of Ages 15-18')\n",
        "plt.xlabel('Number of Children')\n",
        "plt.ylabel('Frequency')\n",
        "\n",
        "# Display the plots\n",
        "plt.tight_layout()\n",
        "plt.show()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 299
        },
        "id": "zmHahpE_lkbX",
        "outputId": "3f1773cd-6a53-45d2-eb06-8902a761b80d"
      },
      "execution_count": 10,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1800x600 with 3 Axes>"
            ],
            "image/png": 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          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Calculating basic descriptive statistics: mean, median, and mode for the age groups and number of children\n",
        "descriptive_stats = data[['Number Of Children', 'AGE(6-10)', 'AGE(11-14)', 'AGE(15-18)']].describe()\n",
        "descriptive_stats.loc['mode'] = data[['Number Of Children', 'AGE(6-10)', 'AGE(11-14)', 'AGE(15-18)']].mode().iloc[0]\n",
        "descriptive_stats\n",
        "\n",
        "# Performing trend analysis by plotting the number of children over the years\n",
        "plt.figure(figsize=(10, 6))\n",
        "sns.lineplot(data=data, x='Year', y='Number Of Children', marker='o')\n",
        "plt.title('Trend of Number of Children Over the Years')\n",
        "plt.xticks(rotation=45)\n",
        "plt.xlabel('Year')\n",
        "plt.ylabel('Number of Children')\n",
        "plt.grid(True)\n",
        "plt.show()\n",
        "\n",
        "# Return the descriptive statistics\n",
        "descriptive_stats\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 946
        },
        "id": "6HRIm4cSlp_4",
        "outputId": "2497f3c8-bee0-4160-e0b4-18bdb2ae9e2c"
      },
      "execution_count": 11,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "       Number Of Children  AGE(6-10)  AGE(11-14)  AGE(15-18)\n",
              "count           10.000000   10.00000   10.000000   10.000000\n",
              "mean            32.100000    7.50000   19.300000    5.300000\n",
              "std             15.073524    4.88194   12.832684    3.465705\n",
              "min              9.000000    1.00000    5.000000    1.000000\n",
              "25%             20.000000    3.00000   10.500000    1.750000\n",
              "50%             32.000000    8.00000   16.500000    5.500000\n",
              "75%             43.000000   12.00000   23.750000    8.000000\n",
              "max             55.000000   13.00000   42.000000   10.000000\n",
              "mode             9.000000    3.00000   17.000000    1.000000"
            ],
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              "\n",
              "  <div id=\"df-25ee8143-12d9-4b55-9799-a515d8cf8b4b\" class=\"colab-df-container\">\n",
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              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Number Of Children</th>\n",
              "      <th>AGE(6-10)</th>\n",
              "      <th>AGE(11-14)</th>\n",
              "      <th>AGE(15-18)</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>count</th>\n",
              "      <td>10.000000</td>\n",
              "      <td>10.00000</td>\n",
              "      <td>10.000000</td>\n",
              "      <td>10.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>32.100000</td>\n",
              "      <td>7.50000</td>\n",
              "      <td>19.300000</td>\n",
              "      <td>5.300000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>15.073524</td>\n",
              "      <td>4.88194</td>\n",
              "      <td>12.832684</td>\n",
              "      <td>3.465705</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>9.000000</td>\n",
              "      <td>1.00000</td>\n",
              "      <td>5.000000</td>\n",
              "      <td>1.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>20.000000</td>\n",
              "      <td>3.00000</td>\n",
              "      <td>10.500000</td>\n",
              "      <td>1.750000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>32.000000</td>\n",
              "      <td>8.00000</td>\n",
              "      <td>16.500000</td>\n",
              "      <td>5.500000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>43.000000</td>\n",
              "      <td>12.00000</td>\n",
              "      <td>23.750000</td>\n",
              "      <td>8.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>55.000000</td>\n",
              "      <td>13.00000</td>\n",
              "      <td>42.000000</td>\n",
              "      <td>10.000000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mode</th>\n",
              "      <td>9.000000</td>\n",
              "      <td>3.00000</td>\n",
              "      <td>17.000000</td>\n",
              "      <td>1.000000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
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              "    animation:\n",
              "      spin 1s steps(1) infinite;\n",
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              "\n",
              "  @keyframes spin {\n",
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              "      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",
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              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
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              "        fill: #1967D2;\n",
              "        height: 32px;\n",
              "        padding: 0 0 0 0;\n",
              "        width: 32px;\n",
              "      }\n",
              "\n",
              "      .colab-df-generate:hover {\n",
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              "        box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
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              "\n",
              "      [theme=dark] .colab-df-generate {\n",
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              "      }\n",
              "    </style>\n",
              "    <button class=\"colab-df-generate\" onclick=\"generateWithVariable('descriptive_stats')\"\n",
              "            title=\"Generate code using this dataframe.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
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            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "descriptive_stats",
              "summary": "{\n  \"name\": \"descriptive_stats\",\n  \"rows\": 9,\n  \"fields\": [\n    {\n      \"column\": \"Number Of Children\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 16.522490693886645,\n        \"min\": 9.0,\n        \"max\": 55.0,\n        \"num_unique_values\": 8,\n        \"samples\": [\n          32.1,\n          32.0,\n          10.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"AGE(6-10)\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 4.238126590117606,\n        \"min\": 1.0,\n        \"max\": 13.0,\n        \"num_unique_values\": 8,\n        \"samples\": [\n          7.5,\n          8.0,\n          10.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"AGE(11-14)\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 10.764780518188932,\n        \"min\": 5.0,\n        \"max\": 42.0,\n        \"num_unique_values\": 9,\n        \"samples\": [\n          42.0,\n          19.3,\n          16.5\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"AGE(15-18)\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 3.608010751227013,\n        \"min\": 1.0,\n        \"max\": 10.0,\n        \"num_unique_values\": 7,\n        \"samples\": [\n          10.0,\n          5.3,\n          5.5\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 11
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# First, check if there are non-numeric characters in the columns\n",
        "print(data['Repatriated_to their_family_within_State'].unique())\n",
        "print(data['Number Of Children'].unique())\n",
        "\n",
        "# Assuming the error is due to format issues, we will convert these columns to integers.\n",
        "# Strip any non-numeric characters and convert the columns to integer type\n",
        "data['Repatriated_to their_family_within_State'] = data['Repatriated_to their_family_within_State'].str.extract('(\\d+)').astype(float)\n",
        "data['Number Of Children'] = data['Number Of Children'].astype(float)\n",
        "\n",
        "# Calculate the repatriation rate again\n",
        "repatriation_rate = (data['Repatriated_to their_family_within_State'] / data['Number Of Children']) * 100\n",
        "\n",
        "# Plot the repatriation rate over the years\n",
        "plt.figure(figsize=(10, 6))\n",
        "sns.lineplot(x=data['Year'], y=repatriation_rate, marker='o')\n",
        "plt.title('Annual Repatriation Rates')\n",
        "plt.xlabel('Year')\n",
        "plt.ylabel('Repatriation Rate (%)')\n",
        "plt.grid(True)\n",
        "plt.show()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 642
        },
        "id": "xmdcJh96nMau",
        "outputId": "e029e97a-e696-4440-e70c-021403bf2173"
      },
      "execution_count": 16,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "[17 42 19 34 20 '24 (16 children belong to migration families)'\n",
            " '43(35 children belong to migration families)' 7\n",
            " '25(13 children belong to migration families)'\n",
            " '11(06 children belong to migration families)']\n",
            "[18 55 26 44 40 33 49  9 31 16]\n"
          ]
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x600 with 1 Axes>"
            ],
            "image/png": 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0oVKlSgwaNIgRI0ZgMpn44osv8h1C2Lx5c7755htGjx7NHXfcgbOzM7179873uLNmzeKuu+6idevWDB06NGe5fDc3N6ZMmVKojLejSpUqDBkyhPfff58jR45Qt25d7rnnHr744gvc3NyoV68eW7ZsYdWqVVSpUiXXa5s0aYLZbGbGjBkkJiZiZ2eXc1+5efPm8a9//YtmzZrx0EMP4enpyYkTJ/j1119p27Yt7777LseOHaNr164MGDCAevXqYW1tzZIlSzh37hwPPfRQsV+7iEixMm5BSBGRiqd3794We3v7nGXh8zN48GCLjY2NJSEhIWe59PyWBwcsL730Us7jG8ub/9WNZdP/LD4+3vLAAw9YHB0dLZUqVbI89dRTloMHD+ZZmj0uLs5y3333Wdzd3S1ubm6W/v37W06fPp3n3IVdLj8+Pj7Pc4mJiRY3N7dcy9Tv2bPHcv/991uqVKlisbOzs9SsWdMyYMAAS1hYWJ5jHj582NKvXz+Li4uLpVKlSpZnn33WkpqamuscP//8s6VRo0YWe3t7i7+/v2XGjBmWTz75JE/2s2fPWnr16mVxcXGxADmZblznjh078uTP73uwadMmS6tWrSwODg4WX19fy7hx4yzLly/Ps2T81atXLQMHDrS4u7tbgJyl8/NbLt9isVhWrVpladu2rcXBwcHi6upq6d27t+Xw4cMF+l4X9Gd1s/ZksVgsUVFRFrPZbBk0aJDFYrm+jP2QIUMsHh4eFmdnZ0toaKjl6NGjlpo1a+bsc8NHH31kCQwMtJjN5jzfhzVr1lhCQ0Mtbm5uFnt7e0tQUJBl8ODBlp07d1osFoslISHB8swzz1hCQkIsTk5OFjc3N0vLli0t33777S2vRUSkLDBZLAWY/SsiIlJKTZkyhalTpxIfH5+zoIiIiEhZozlmIiIiIiIiBlNhJiIiIiIiYjAVZiIiIiIiIgbTHDMRERERERGDqcdMRERERETEYCrMREREREREDKYbTOcjOzub06dP4+LigslkMjqOiIiIiIgYxGKxcOXKFXx9fbGyKr5+LRVm+Th9+jR+fn5GxxARERERkVLi5MmTVK9evdiOr8IsHy4uLsD1b76rq6uhWTIyMlixYgU9evTAxsbG0CwihaX2K2Wd2rCUZWq/UpaVpvablJSEn59fTo1QXFSY5ePG8EVXV9dSUZg5Ojri6upqeKMUKSy1Xynr1IalLFP7lbKsNLbf4p7ipMU/REREREREDKbCTERERERExGAqzERERERERAymwkxERERERMRgKsxEREREREQMpsJMRERERETEYCrMREREREREDKbCTERERERExGAqzERERERERAymwkxERERERMRgKsxEREREREQMpsJMRERERETEYCrMREREREREDKbCTESKlYuLi9ERREREREo9FWYiUixS0zOxmMzUb9YKi8lMSnqm0ZFERERESi1rowOISPmTlpHFB+uiWbA5hqTUTFwdrBnSJoDhnYKwszEbHU9ERESk1FFhJiJFKjU9kw/WRfNWWETOtqTUzJzHT3UMxNFWf3pERERE/kxDGUWkSJmtrFiwOSbf5xZsjsHaSn92RERERP5K75BEpEhduZZBUmr+88mSUjO5kJzGyYspJZxKREREpHQztDDLyspi0qRJBAQE4ODgQFBQEK+88goWiyVnH5PJlO/XrFmzbnrcKVOm5Nk/JCSkJC5JpMJzsbfB1SH/oYquDta4OdjQ971NDP10B1uiLuT6fRcRERGpqAyd6DFjxgzmzZvHZ599Rv369dm5cydDhgzBzc2NESNGAHDmzJlcr/n9998ZOnQoDzzwwC2PXb9+fVatWpXz2Npac1pESkJWdjZD2gTkmmN2w5A2ARw+ncTF5HTCjp4n7Oh56vu6Mqx9AL0a+mJrrU58ERERqZgMrVY2b95M37596dWrFwD+/v58/fXXbN++PWcfHx+fXK/56aef6Ny5M4GBgbc8trW1dZ7Xikjxs7cxM7itP9kWC59tic13VcawFzqyYFMM3++K49DpJJ7/Zh/Tfz/KoDb+PHJnTdwcbYy+DBEREZESZWhh1qZNGz788EOOHTtGcHAw+/btY+PGjcyZMyff/c+dO8evv/7KZ5999rfHjoiIwNfXF3t7e1q3bs20adOoUaNGvvumpaWRlpaW8zgpKQmAjIwMMjIybuPKis6N8xudQ6Sglh06x9ywKCbeHcLOLt24nJyGu5M9GVlZWJFNRkY2NdzteKlXCM91CmTRjji+3HaCc0lpzFwWzjthEfRrVo1BrWtSs4qj0ZcjFZz+BktZpvYrZVlpar8llcFkMXCCR3Z2Ni+++CIzZ87EbDaTlZXFa6+9xsSJE/Pdf+bMmUyfPp3Tp09jb29/0+P+/vvvXL16lTp16nDmzBmmTp3KqVOnOHjwIC4uLnn2nzJlClOnTs2z/auvvsLRUW8MRQoqywIz9pk5l2oitHo29wZZY2dnR1paGunp6Td9XWY27E4wseaMFadTTACYsNCgkoXOvtkEuoDJVFJXISIiIvL/UlJSGDhwIImJibi6uhbbeQwtzBYtWsTYsWOZNWsW9evXZ+/evYwaNYo5c+YwaNCgPPuHhITQvXt33nnnnUKd5/Lly9SsWZM5c+YwdOjQPM/n12Pm5+dHQkJCsX7zCyIjI4OVK1fSvXt3bGw0vEtKt+92neLFHw9RydGGsOfbY2+2FKr9WiwWtkRf5JNNx1kXkZCzvVE1V4a0qUlofW9szJqHJiVHf4OlLFP7lbKsNLXfpKQkPDw8ir0wM3Qo49ixY5kwYQIPPfQQAA0bNuT48eNMmzYtT2G2YcMGwsPD+eabbwp9Hnd3d4KDg4mMjMz3eTs7O+zs7PJst7GxMbwh3FCasojk51pGFu+siQLgmc61qOzikNP1X5j22zHEh44hPkScu8Inm2L4Yfcp9p9K4vnvDuC7IoLBbf156M4auNrr90FKjv4GS1mm9itlWWlovyV1fkM/ek5JScHqLzebNZvNZGdn59n3448/pnnz5jRu3LjQ57l69SpRUVFUrVr1trOKyK19ufU4ZxKvUdXNnkdb1fzHx6vt7cK0+xuxeUIXnu8WjIezLacTr/H6b0dp/XoYLy89rPuhiYiISLlhaGHWu3dvXnvtNX799VdiY2NZsmQJc+bM4b777su1X1JSEt999x3Dhg3L9zhdu3bl3XffzXk8ZswY1q1bR2xsLJs3b+a+++7DbDbz8MMPF+v1iFRUV65l8N6a6z3Sz3cLxt7GXGTH9nC2Y2S32mwc34UZDzSktpczyelZfLIpho6z1jB84S52Hb9UZOcTERERMYKhQxnfeecdJk2axPDhwzl//jy+vr489dRTTJ48Odd+ixYtwmKx3LSwioqKIiHh/+ejxMXF8fDDD3PhwgU8PT1p164dW7duxdPTs1ivR6Si+mhDDJdSMgjydOL+ZtWK5Rz2NmYevKMGA1r4sT4igfkbotkQkcBvB87y24GzNK3hzhPtA+lRzxtrzUMTERGRMsbQwszFxYW5c+cyd+7cW+735JNP8uSTT970+djY2FyPFy1aVATpRKQgEq6mMX9DNABjetQp9qLIZDLRMdiTjsGeHD2bxCcbY/hxz2n2nLjM8IW7qV7JgSFtAxjQojoumocmIiIiZYQ+VhaRf+Td1ZGkpGfRqLobPRuU7E3dQ3xcmdmvMRsndGZEl1pUcrQh7lIqr/xymDbTVvPar4c5dTm1RDOJiIiI3A4VZiJy205eTGHhtuMAjO8Zgsmgm415udgzukcdtkzsyuv3NSTQ04kraZl8tCGGDjPX8NzXe9h38rIh2UREREQKwtChjCJSts1dFUFGloV2tTxoW8vD6DjY25gZ2LIGD93hx9pj55m/IYbNURdYuu80S/ed5g7/SgxtF0j3et6YrXTHahERESk9VJiJyG0JP3uFxXviABgbWsfgNLlZWZnoEuJNlxBvDp1O5OONMSzdd5odsZfYEbuLGpUdebytP/1b+OFkpz+DIiIiYjwNZRSR2zJ7RTgWC9zVwIfGfu5Gx7mp+r5uzBnQhA3jujC8UxBuDjacuJjClKWHaT0tjOm/H+VMouahiYiIiLFUmIlIoe06fomVh89hZYIXepSu3rKb8XGzZ1zPELZM7MIrfevjX8WRpGuZfLAuivYz1jBq0R4Onko0OqaIiIhUUBrDIyKFYrFYmLnsKAD9m/tRy8vZ4ESF42hrzb9a+zOwZU3Cjpxj/sYYtsdc5Me9p/lx72laBVZmWLtAuoR4YaV5aCIiIlJCVJiJSKGsj0hgW8xFbK2tGNmtttFxbpvZykSP+j70qO/D/rjLfLwxhl/2n2Fr9EW2Rl8kwMOJx9sF0K9ZdRxszUbHFRERkXJOQxlFpMCys/+/t+yxVjXxdXcwOFHRaFTdnbceasqGcZ15qmMgLvbWxCQkM+nHg7SeHsas5Uc5n3TN6JgiIiJSjqkwE5EC+/XAGQ6dTsLZzprhnWsZHafI+bo7MPGuumyZ2JWXetfDr7IDl1MyeG9NFG1nrOaFb/dx+HSS0TFFRESkHNJQRhEpkIysbOasPAbAkx0Cqexka3Ci4uNsZ82QtgE81tqflYfPMn9DDDuPX+KH3XH8sDuOtrWqMKxdIB2DPTUPTURERIqECjMRKZDvdsYRk5BMFSdbhrYLMDpOiTBbmejZoCo9G1Rlz4lLzN8Yw+8HzrAp8gKbIi9Qy8uZoe0CuK9pNextNA9NREREbp+GMorI30pNz+KtsOu9Zc91qVUhb8rctEYl3hvYjHVjOzOsXQDOdtZEnr/KxMUHaDN9NXNWHiP+SprRMUVERKSMUmEmIn/rsy2xnEtKo5q7Aw+3rGF0HEP5VXbkv/fUY8vELvy3V12quTtwMTmdt8MiaDtjNeO/38+xc1eMjikiIiJljAozEbmlxNQM5q2NAmB092DsrDVkD8DF3oZh7QNZN7YT7w5sSmM/d9Izs/lm50l6vLmexz7Zzvpj8VgsFqOjioiISBlQ8cYjiUihfLg+isTUDIK9nbm3aTWj45Q61mYr7mnkS6+GVdl94hLzN8Sw/NBZ1h+LZ/2xeOp4uzC0fQB9m/iqqBUREZGbUmEmIjd1Pukan2yMBWBsaAhmrUB4UyaTieY1K9O8ZmVOXEjhk00xfLvzJOHnrjDu+/3MXBbOY61r8kjLGlRxtjM6roiIiJQyGsooIjf1zupIUjOyaFbDnW51vYyOU2bUqOLIlD712TKxKxPvCqGqmz0JV9OYs/IYbaavZuLiA0Sev2p0TBERESlFVJiJSL6OX0jm6+0nABjXMwSTSb1lheXmYMNTHYNYP64zbz3UhIbV3EjLzObr7SfoNmcdj3+6g82RCZqHJiIiIhrKKCL5e3PlMTKzLXQM9qRVYBWj45RpNmYr+japRp/GvmyPucj8jTGsOnKO1UfPs/roeepWdWVYuwB6N/bF1lqfl4mIiFREKsxEJI/Dp5P4ad9pAMaG1jE4TflhMploGViFloFViElIZsGmGL7bGceRM0m88N0+Ziw7yqA2/jzSsgbujrZGxxUREZESpI9mRSSP2SvCsVjgnkZVaVDNzeg45VKAhxMv923AloldGNezDt6udpy/ksas5eG0nraaST8eJCYh2eiYIiIiUkJUmIlILttjLrL66HnMViZe6KHesuLm7mjL8E612DCuC3MGNKZeVVdSM7L4YutxuryxlmGf7WRr9AXNQxMRESnnNJRRRHJYLBZmLjsKwIN3+BHg4WRwoorD1tqK+5tV576m1dgSfYH5G2JYffQ8q46cY9WRczSs5saw9gHc3bAqNmZ9piYiIlLe6P/uIpJjTfh5dh6/hJ21FSO71jY6ToVkMploE+TBJ4PvYNXojgxsWQM7aysOnEpk5KK9tJ+xhg/WRZGYkmF0VBERESlCKsxEBIDsbAszl4UDMKRtAN6u9gYnklpezrx+X0O2TOzKC92D8XC242zSNab/fpTW08OY8vMhTlxIMTqmiIiIFAEVZiICwM/7TnP07BVc7K15umOQ0XHkTyo72fJc19psHN+Zmf0aUcfbhZT0LD7dHEvH2Wv49xe72Bl7UfPQREREyjDNMRMR0jOzeWPl9d6yf3cMws3RxuBEkh97GzMDWvjRv3l1NkYmMH9DDOuOxbPs0FmWHTpLYz93hrUL4K4GPlhrHpqIiEiZosJMRPhmxwlOXkzF08WOIW39jY4jf8NkMtG+tifta3ty7NwVPt4Qw5K9p9h38jLPfb2Hau4ODGnrz4A7/HC1V5EtIiJSFugjVZEKLiU9k7fCIgEY0bU2jrb6vKYsCfZ2YUa/Rmwa34WRXWtT2cmWU5dTefXXI7SZtppXfjnMyYuahyYiIlLaqTATqeAWbIol4WoaNSo78mALP6PjyG3ydLHj+e7BbJ7Qhen3N6SWlzNX0zL5eGMMHWet4ZmFu9lz4pLRMUVEROQm9NG4SAV2KTmdD9ZGAfBCj2BsrfVZTVlnb2PmoTtrMKCFH+si4vl4QwwbIxP49cAZfj1whuY1KzGsXQA96vtgtjIZHVdERET+oMJMpAL7YF0UV9IyCfFxoXcjX6PjSBGysjLRuY4Xnet4ceRMEh9vjOGnvafYdfwSu45fwq+yA0PaBDDgDj+c7fS/AhEREaPp43GRCups4jU+3RwLwPieIVip96TcqlvVldn9G7NpfBee7VwLd0cbTl5M5eVfDtN6WhjTfjvC6cupRscUERGp0FSYiVRQb4VFkJaZzZ3+lelUx9PoOFICvFztGRNahy0TuvLqvQ0I9HDiyrVM/rc+mvYz1zDi6z3sj7tsdEwREZEKSeNXRCqg6PirfLvzJADjetbBZFJvWUXiYGvm0VY1GXhnDdaEn2f+hhi2RF/g532n+Xnfae4MqMywdgF0reuteWgiIiIlRIWZSAX0xspjZGVb6BriRQv/ykbHEYNYWZnoWtebrnW9OXgqkY83xrB032m2x1xke8xF/Ks48ni7APo1r67bKIiIiBQzDWUUqWAOnkrk1/1nMJlgTGgdo+NIKdGgmhtvPtiEjeO78HSnIFztrYm9kMLknw7RetpqZi47yrmka0bHFBERKbdUmIlUMDOXhwNwb5Nq1K3qanAaKW183OwZ3zOELRO7MrVPfWpWcSQxNYP310bRbsZqRn+zl0OnE42OKSIiUu5obIpIBbI5KoH1x+KxtjLxfLdgo+NIKeZkZ82gNv482qomq46c4+MNMWyPvcjiPadYvOcUrQOrMKx9AJ3reGlFTxERkSKgwkykgrBYLMxcdr23bGDLGtSo4mhwIikLzFYmQuv7EFrfh30nL/Pxxhh+PXCGLdEX2BJ9gUBPJ4a2C+D+ptVxsDUbHVdERKTM0lBGkQpi5eFz7D15GQcbM892qWV0HCmDGvu58/bDTVk/rjNPdgjExc6a6Phk/rPkIG2mh/HGinDOX9E8NBERkduhwkykAsjKtjDrj7llQ9sF4OVib3AiKcuquTvw4t112fJiVybfU4/qlRy4lJLBO6sjaTd9DWO/28fRs0lGxxQRESlTNJRRpAJYsucUEeev4uZgwxMdAo2OI+WEs501j7cL4LHWNVlx+BzzN0Sz+8RlvtsVx3e74mhf24Oh7QLoGOype+WJiIj8DRVmIuVcWmYWb648BsDwTkG4OdgYnEjKG2uzFXc3rMrdDauy6/glPtkYw+8Hz7AhIoENEQnU9nJmaLsA7m1aDXsbzUMTERHJj6FDGbOyspg0aRIBAQE4ODgQFBTEK6+8gsViydln8ODBmEymXF89e/b822O/9957+Pv7Y29vT8uWLdm+fXtxXopIqbVw6wlOXU7F29WOQW38jY4j5VzzmpV475FmrBvbmcfbBuBkaybi/FUmLD5A2+mrmbvqGAlX04yOKSIiUuoY2mM2Y8YM5s2bx2effUb9+vXZuXMnQ4YMwc3NjREjRuTs17NnTxYsWJDz2M7O7pbH/eabbxg9ejQffPABLVu2ZO7cuYSGhhIeHo6Xl1exXY9IaXM1LZP31kQCMKpbsHorpMT4VXZkcu96jOpem2+2n2TBphhOJ15j7qoI3l8bxf1NqzG0XQC1vV2MjioiIlIqGNpjtnnzZvr27UuvXr3w9/enX79+9OjRI0/vlp2dHT4+PjlflSpVuuVx58yZwxNPPMGQIUOoV68eH3zwAY6OjnzyySfFeTkipc7HG2K4kJxOoIcT/ZtXNzqOVECu9tfnNa4b15l3Hm5K4+pupGdms2jHSbq/uZ5Bn2xnY0RCrpESIiIiFZGhPWZt2rThww8/5NixYwQHB7Nv3z42btzInDlzcu23du1avLy8qFSpEl26dOHVV1+lSpUq+R4zPT2dXbt2MXHixJxtVlZWdOvWjS1btuT7mrS0NNLS/n9oTVLS9dXEMjIyyMjI+KeX+Y/cOL/ROaTsuZCczocbogAY2SUIS3YWGdlZJZpB7Vf+rGc9T0LrerDrxGU+2XScVUfPs+5YPOuOxVPH25khbWpyT6Oq2FmXngWD1YalLFP7lbKsNLXfkspgshj4MWV2djYvvvgiM2fOxGw2k5WVxWuvvZarqFq0aBGOjo4EBAQQFRXFiy++iLOzM1u2bMFszjss6/Tp01SrVo3NmzfTunXrnO3jxo1j3bp1bNu2Lc9rpkyZwtSpU/Ns/+qrr3B01E14pWxaEmvF2jNWVHey8ELDLKy0KJ6UMgnXYN0ZK7aeN5Gefb2ButhYaO+TTVtvC85ap0ZEREqBlJQUBg4cSGJiIq6ursV2HkN7zL799lsWLlzIV199Rf369dm7dy+jRo3C19eXQYMGAfDQQw/l7N+wYUMaNWpEUFAQa9eupWvXrkWSY+LEiYwePTrncVJSEn5+fvTo0aNYv/kFkZGRwcqVK+nevTs2NnqXIgVz+nIqY3dsArJ5uV9z2tfyMCSH2q/8nceAxNQMFu2I44utJzh3JY3fTppZfdaK+5r4Mrh1TQI9nQzLpzYsZZnar5Rlpan93hhNV9wMLczGjh3LhAkTcoqvhg0bcvz4caZNm5ZTmP1VYGAgHh4eREZG5luYeXh4YDabOXfuXK7t586dw8fHJ99j2tnZ5bugiI2NjeEN4YbSlEVKv/fWHSY9M5vWgVXoHOJj+D2k1H7lVjxsbHi2azBPdqzFbwfO8NGGaA6dTuLrHXF8vSOOriFeDG0fQOvAKoa1ZbVhKcvUfqUsKw3tt6TOb+hA/pSUFKysckcwm81kZ2ff9DVxcXFcuHCBqlWr5vu8ra0tzZs3JywsLGdbdnY2YWFhuYY2ipRXkeev8P2uOADG9qxjeFEmUlC21lbc27QavzzXjkVPtqJb3eur6IYdPc/Aj7ZxzzsbWbInjvTMm/8/QkREpKwytDDr3bs3r732Gr/++iuxsbEsWbKEOXPmcN999wFw9epVxo4dy9atW4mNjSUsLIy+fftSq1YtQkNDc47TtWtX3n333ZzHo0eP5qOPPuKzzz7jyJEjPP300yQnJzNkyJASv0aRkjZ7+TGyLdCjnjfNatx6BVOR0shkMtEqsArzB93B6hc68mirGtjbWHHodBLPf7OP9jNX8/7aSC6npBsdVUREpMgYOpTxnXfeYdKkSQwfPpzz58/j6+vLU089xeTJk4HrvWf79+/ns88+4/Lly/j6+tKjRw9eeeWVXEMPo6KiSEhIyHn84IMPEh8fz+TJkzl79ixNmjRh2bJleHt7l/g1ipSkvScvs+zQWaxMMCa0jtFxRP6xQE9nXr23IS90r8NX20/w6eZYziWlMXNZOO+ERTKgRXWGtA3A38O4eWgiIiJFwdDCzMXFhblz5zJ37tx8n3dwcGD58uV/e5zY2Ng825599lmeffbZf5hQpGyZtfwoAPc3q06wbtwr5UglJ1ue6VyLYe0DWLrvDPM3RHP07BU+23Kcz7cep3tdb4a1D+QO/0oavisiImWSoYWZiBSdjREJbIq8gK3ZilHdahsdR6RY2Fmb6de8Og80q8bmqAvM3xDNmvB4Vhw+x4rD52hU3Y1h7QO5q4EPNubScz80ERGRv6PCTKQcsFgszFh2vbfskVY1qF5J99+T8s1kMtG2lgdta3kQef4KH2+MZfHuOPbHJTLi6z34utkzuK0/D95RAzcHrUYnIiKlnz5OFCkHfj94lgOnEnGyNfNM51pGxxEpUbW8XJh2f0M2T+jC892C8XC25XTiNV7/7ShtpoUxdekhTl5MMTqmiIjILakwEynjMrOymb0iHIBh7QPxcM57Tz6RiqCKsx0ju9Vm4/guzHygEcHeziSnZ7FgUywdZ61h+MJd7Dp+yeiYIiIi+dJQRpEy7ofdcUTHJ1PZyZZh7QOMjiNiOHsbMwPu8KN/i+qsj0hg/oZoNkQk8NuBs/x24CxNa7gzrF0gofW9sdY8NBERKSVUmImUYdcyspi7KgKA4Z2CcLHXXBqRG0wmEx2DPekY7En42St8vDGaH/ecZs+Jyzzz1W6quTswpK0/D97hp98dERExnD4qFCnDvthynDOJ1/B1s+fRVjWNjiNSatXxcWFmv8ZsmtCFEV1rU9nJllOXU3n11yO0mbaa1349zKnLqUbHFBGRCkyFmUgZlXQtg/fWRgIwqnsw9jZmgxOJlH6eLnaM7h7M5gldeP2+hgR5OnElLZOPNsTQYeYanv1qN3tPXjY6poiIVEAayihSRs1fH83llAxqeTlzf9NqRscRKVPsbcwMbFmDh+7wY92xeD7aEM3mqAv8sv8Mv+w/wx3+lRjaLpBOtSsbHVVERCoIFWYiZVD8lTTmb4wBYEyPYC1gIHKbrKxMdA7xonOIF4dOJ/LxxhiW7jvNjthL7IjdhV8lB+50M9ExLRN3G81DExGR4qN3cyJl0HtrIklJz6JxdTdC6/sYHUekXKjv68acAU3YOL4Lz3QOws3BhpOXUvkh1kyH2euZ9vsRziRqHpqIiBQPFWYiZczJiyks3HYcgPE9QzCZTAYnEilfvF3tGRsawpaJXZhyTwge9haSrmXyv3XRtJ+xhlGL9nDwVKLRMUVEpJzRUEaRMubNVcfIyLLQvrYHbWp5GB1HpNxytLXmkZY1cEs4iENgCxZsOcG2mIv8uPc0P+49TcuAygxrH0jXEC+srPQBiYiI/DMqzETKkPCzV1iy5xQAY0PrGJxGpGKwMkHXul70bFSNA3GJzN8Yza/7z7At5iLbYi4S4OHE4+0CeKBZNRxt9b9VERG5PRrKKFKGzFoejsUCdzf0oVF1d6PjiFQ4Dau78dZDTVk/rjNPdQzExd6amIRkJv14kDbTVzNr+VHOJV0zOqaIiJRBKsxEyohdxy+y6sg5zFYmXuih3jIRI/m6OzDxrrpsndiVKb3rUaOyI5dTMnhvTRTtZqxm9Ld7OXw6yeiYIiJShmjMhUgZYLFYmLEsHID+zasT5OlscCIRAXCys2Zw2wD+1dqflYfPMn9DDDuPX2Lx7lMs3n2KtrWqMKxdIB2DPTUPTUREbkmFmUgZsO5YPNtjLmJrbcXIbrWNjiMif2G2MtGzQVV6NqjKnhOX+HhjDL8fPMumyAtsirxAkKcTQ9sFcn+zatjbmI2OKyIipZCGMoqUctnZFmb+0Vs2qHVNqro5GJxIRG6laY1KvDuwGevGdmJYuwCc7ayJik/mxSUHaDN9NXNWHiP+SprRMUVEpJRRYSZSyv1y4AyHzyThYmfN8E61jI4jIgVUvZIj/72nHlsmduG/vepSzd2Bi8npvB0WQdvpqxn3/T7Cz14xOqaIiJQSKsxESrGMrGzeWHG9t+zJDoFUcrI1OJGIFJaLvQ3D2geybmwn3hvYjCZ+7qRnZfPtzjhC567nsU+2s/5YPBaLxeioIiJiIM0xEynFvt15kuMXUvBwtuXxdgFGxxGRf8DabEWvRlXp1agqu45fZP6GGJYfOsv6Y/GsPxZPsLczw9oF0qeJr+ahiYhUQCrMREqp1PQs3loVAcBzXWrjZKdfV5HyonnNyjSvWZkTF1JYsDmGb3ec5Ni5q4z7YT8zlx/lsdb+PNKyBlWc7YyOKiIiJURDGUVKqU83x3L+ShrVKznw8J01jI4jIsWgRhVHXupdn80Tu/Li3SFUdbMn4Wo6c1Yeo8301UxcfIDI85qHJiJSEagwEymFElMymLc2EoDR3YOxtdavqkh55uZgw5Mdglg/rjNvPdSEhtXcSMvM5uvtJ+g2Zz1DFmxnU2SC5qGJiJRjGhslUgr9b30USdcyqePtQt8m1YyOIyIlxMZsRd8m1ejT2JcdsZeYvyGalUfOsSY8njXh8dSt6sqwdgH0buyrD2xERMoZFWYipcz5pGt8sikGgLGhdTBbmQxOJCIlzWQycWdAZe4MqExsQjKfbIrhu51xHDmTxAvf7WPGsqMMauPPwDtraLVWEZFyQh+3iZQyb6+O4FpGNs1quNO1rpfRcUTEYP4eTrzctwFbJnZhXM86eLvacf5KGrOWh9N6ehj//fEA0fFXjY4pIiL/kAozkVIkNiGZRdtPAjC+Zwgmk3rLROQ6d0dbhneqxYZxXXjzwcbUq+rKtYxsvtx6gq5z1jHss51sjb6geWgiImWUhjKKlCJzVh4jM9tCpzqetAysYnQcESmFbK2tuK9pde5tUo0t0Rf4eEMMYUfPs+rIOVYdOUeDaq4MaxdIr0ZVsTHr81cRkbJChZlIKXHodCI/7zsNXJ9bJiJyKyaTiTZBHrQJ8iDy/FU+2RTDD7viOHgqiVHf7GX670cZ3Nafh++ogZujjdFxRUTkb+ijNJFSYvbycAD6NPalvq+bwWlEpCyp5eXM6/c1ZMvErrzQPRgPZzvOJl1j+u9HaT09jCk/H+L4hWSjY4qIyC2oMBMpBbZFX2BNeDzWViZGdw82Oo6IlFGVnWx5rmttNk3ozKx+jQjxcSElPYtPN8fSafZanvpiJztjL2oemohIKaShjCIGs1gszPyjt+zBO/zw93AyOJGIlHV21mb6t/CjX/PqbIxMYP6GGNYdi2f5oXMsP3SOxn7uDGsXwF0NfLDWPDQRkVJBhZmIwVYfPc+u45ewt7FiRNfaRscRkXLEZDLRvrYn7Wt7cuzcFT7ZGMPiPafYd/Iyz329h2ruDgxu48+Dd/rhaq95aCIiRtLHZCIGysq2MHPZ9d6yIW0D8Ha1NziRiJRXwd4uTH+gEZsndGFk19pUcbLl1OVUXvvtCG2mreaVXw5z8mKK0TFFRCosFWYiBvp53ynCz13B1d6af3cIMjqOiFQAHs52PN89mE0TujD9/obU8nLmalomH2+MoeOsNTyzcDe7T1wyOqaISIWjoYwiBknPzOaNFccA+HenIC1nLSIlyt7GzEN31mBACz/WR8Tz8cYYNkQk8OuBM/x64AzNargzrH0gofV9MFvpZvciIsVNhZmIQb7efoK4S6l4udgxpE2A0XFEpIKysjLRqY4Xnep4ceRMEh9vjOGnvafYfeIywxfuxq+yA0PaBDDgDj+c7fS2QUSkuGgoo4gBktMyeWd1JAAjutbGwdZscCIREahb1ZXZ/RuzaXwXnutSi0qONpy8mMrLvxym9bQwpv12hNOXU42OKSJSLqkwEzHAgk0xJFxNo2YVRx68w8/oOCIiuXi52vNCjzpsntCVV+9tQKCHE1euZfK/9dG0n7mGEV/vYX/cZaNjioiUKxqTIFLCLiWn87910QCM7h6Mje4hJCKllIOtmUdb1WTgnTVYE36e+Rti2BJ9gZ/3nebnfae5078yQ9sH0K2ut+ahiYj8QyrMRErYvHVRXEnLpG5VV3o38jU6jojI37KyMtG1rjdd63pz8FQin2yM4ed9p9kee5HtsRfxr+LI4+0C6Ne8Oo62emshInI79FG9SAk6k5jKZ5tjARjXsw5W+oRZRMqYBtXcmPNgEzaO78LTnYJwtbcm9kIKk386ROtpq5mx7ChnE68ZHVNEpMwxtDDLyspi0qRJBAQE4ODgQFBQEK+88goWiwWAjIwMxo8fT8OGDXFycsLX15fHHnuM06dP3/K4U6ZMwWQy5foKCQkpiUsSuaW3wyJIy8zmzoDKdAr2NDqOiMht83GzZ3zPELZM7MrLfetTs4ojiakZzFsbRbsZqxn9zV4Onko0OqaISJlh6HiDGTNmMG/ePD777DPq16/Pzp07GTJkCG5ubowYMYKUlBR2797NpEmTaNy4MZcuXWLkyJH06dOHnTt33vLY9evXZ9WqVTmPra01tEKMFRV/lW93xgEwvmcdTCb1lolI2edkZ81jrf15pGVNwo6cY/6GGLbHXmTxnlMs3nOK1oFVGNY+gM51vDRKQETkFgytVjZv3kzfvn3p1asXAP7+/nz99dds374dADc3N1auXJnrNe+++y533nknJ06coEaNGjc9trW1NT4+PsUXXqSQ5qw4Rla2hW51vWhes7LRcUREipTZykSP+j70qO/DvpOX+XhjDL8eOMOW6Atsib5AoIcTj7cL4IFm1XWLEBGRfBhamLVp04YPP/yQY8eOERwczL59+9i4cSNz5sy56WsSExMxmUy4u7vf8tgRERH4+vpib29P69atmTZt2k0LubS0NNLS0nIeJyUlAdeHUmZkZBT+worQjfMbnUP+mYOnkvj1wBlMJhjVJajC/DzVfqWsUxu+PfV8nHijXwPGdK/F51tP8M3OOKITkvnvjwd5Y0U4D9/hx6Mt/fB0sTM6armm9itlWWlqvyWVwWS5MaHLANnZ2bz44ovMnDkTs9lMVlYWr732GhMnTsx3/2vXrtG2bVtCQkJYuHDhTY/7+++/c/XqVerUqcOZM2eYOnUqp06d4uDBg7i4uOTZf8qUKUydOjXP9q+++gpHR8fbv0CRP8w7bMXRRCvu8Mjm0drZRscRESlR17Jg63kT685YcTHt+nBGs8lCcw8LnapmU83J4IAiIreQkpLCwIEDSUxMxNXVtdjOY2hhtmjRIsaOHcusWbOoX78+e/fuZdSoUcyZM4dBgwbl2jcjI4MHHniAuLg41q5dW6hvyuXLl6lZsyZz5sxh6NCheZ7Pr8fMz8+PhISEYv3mF0RGRgYrV66ke/fu2NjYGJpFbs+W6As8tmAXNmYTy0e2xa9SxSn21X6lrFMbLlpZ2RZWHjnPgs3H2X3ics72NkGVGdrWn/a1qmj+bRFS+5WyrDS136SkJDw8PIq9MDN0KOPYsWOZMGECDz30EAANGzbk+PHjTJs2LVdhlpGRwYABAzh+/DirV68u9DfE3d2d4OBgIiMj833ezs4OO7u8wylsbGwMbwg3lKYsUnAWi4U3VkUBMPDOGgR6uRmcyBhqv1LWqQ0XDRugd5Pq9G5Snd0nLvHxhhh+P3iGzVEX2Rx1kdpezgxtF8C9Tathb6N5aEVF7VfKstLQfkvq/IYul5+SkoKVVe4IZrOZ7Oz/H+p1oyiLiIhg1apVVKlSpdDnuXr1KlFRUVStWvUfZxYpjOWHzrHv5GUcbc0826W20XFEREqNZjUq8d4jzVg3tjND2wXgbGdNxPmrTFh8gLbTV/PmymMkXE37+wOJiJQThhZmvXv35rXXXuPXX38lNjaWJUuWMGfOHO677z7gelHWr18/du7cycKFC8nKyuLs2bOcPXuW9PT0nON07dqVd999N+fxmDFjWLduHbGxsWzevJn77rsPs9nMww8/XOLXKBVXVraF2SvCARjaLkCT3EVE8uFX2ZFJ99Rj88Qu/Ofuuvi62XMhOZ23wiJoM301E37YT8S5K0bHFBEpdoYOZXznnXeYNGkSw4cP5/z58/j6+vLUU08xefJkAE6dOsXPP/8MQJMmTXK9ds2aNXTq1AmAqKgoEhIScp6Li4vj4Ycf5sKFC3h6etKuXTu2bt2Kp6du6CslZ/HuOCLPX8Xd0YYnOgQaHUdEpFRztb/+t3JIW39+P3iW+Rui2ReXyKIdJ1m04yQdgz0Z1j6AdrU8NA9NRMolQwszFxcX5s6dy9y5c/N93t/fn4KsTRIbG5vr8aJFi4ogncjtu5aRxdxVEQAM7xSEq73G9ouIFIS12YrejX25p1FVdh2/xEcbollx+BzrjsWz7lg8IT4uDG0XQJ8mvthZax6aiJQfhhZmIuXVwm0nOHU5FR9Xex5r7W90HBGRMsdkMtHCvzIt/Ctz/EIyCzbF8u3Okxw9e4Wx3+9nxrJwBrWuySOtalLZydbouCIi/5ihc8xEyqOraZm8t+b6CqCjutXWymIiIv9QzSpOTOlTny0TujLhrhB8XO1JuJrGGyuP0XpaGC8uOUDk+atGxxQR+UdUmIkUsfkbormYnE6ghxP9mlc3Oo6ISLnh5mjDvzsGsWF8Z+Y+2IQG1VxJy8zmq20n6DZnHUM/3cHmqIQCTYMQESltNJRRpAhduJrGR+ujAXihRx2szfrsQ0SkqNmYrbi3aTX6NvFlW8xF5m+IIezoOcKOnifs6HnqVXVlWPsA7mnki621/g6LSNmgwkykCL23Jork9CwaVnPjrgY+RscRESnXTCYTrQKr0CqwCtHxV1mwKZbvdp3k8JkkRn+7jxnLjjKojT8D76yBu6PmoYlI6aaPkUSKSNylFL7cehyAcT3rYGWl5ZxFREpKoKczr9zbgC0TujI2tA6eLnacS0pj5rJwWk9bzeSfDhKbkGx0TBGRm1JhJlJE3loVQXpWNm2CqtCulofRcUREKqRKTrY807kWG8d35o3+jQnxcSE1I4vPtxyn8xtrefLznWyPuah5aCJS6mgoo0gRiDh3hR92xwEwNrSObn4qImIwO2szDzSvzv3NqrEl6gIfbYhmTXg8Kw6fY8XhczSq7sbQdgHc3bAqNpoPLCKlgP4SiRSB2SvCybZAaH1vmtaoZHQcERH5g8lkok0tDxYMuZNVozvw8J01sLO2Yn9cIiMX7aXDzDX8b10UiakZRkcVkQpOhZnIP7TnxCWWHzqHlQnG9KhjdBwREbmJWl4uTLu/IZsndGF092A8nG05k3iNab8fpc20MKYuPcTJiylGxxSRCkqFmcg/YLFYmLksHIAHmlWntreLwYlEROTvVHG2Y0TX2mwc34WZDzQi2NuZ5PQsFmyKpeOsNTz95S52Hb9odEwRqWA0x0zkH9gYmcCW6AvYmq0Y1T3Y6DgiIlII9jZmBtzhR/8W1dkQkcD8jTGsPxbP7wfP8vvBszSt4c6wdoGE1vfWfSlFpNipMBO5TdnZ/99b9mirmlRzdzA4kYiI3A6TyUSHYE86BHsSfvYKH2+M5sc9p9lz4jLPfLWbau4ODGnrz4N3+OFib2N0XBEpp/Txj8ht+v3gWQ6cSsTJ1swznYOMjiMiIkWgjo8LM/s1ZtOELozoWpvKTracupzKq78eofW01bz6y2HiLmkemogUvUL1mB05coRFixaxYcMGjh8/TkpKCp6enjRt2pTQ0FAeeOAB7OzsiiurSKmRmZXNGyuu95Y90SGQKs5q9yIi5Ymnix2juwczvFMQS/acYv6GaKLik5m/MYYFm2O5q4EPw9oH0sTP3eioIlJOFKjHbPfu3XTr1o2mTZuyceNGWrZsyahRo3jllVd49NFHsVgs/Oc//8HX15cZM2aQlpZW3LlFDPX9rjiiE5Kp7GTLsPaBRscREZFiYm9j5uE7a7Dy+Y4sGHwHbWtVISvbwi/7z3Dve5voN28zyw6eIStbN6wWkX+mQD1mDzzwAGPHjuX777/H3d39pvtt2bKFt956izfeeIMXX3yxqDKKlCrXMrKYuyoCgGc618LZTlM1RUTKOysrE51DvOgc4sXh00nM3xjN0n2n2Xn8EjuPX6JGZUceb+tP/xZ+OOn/CyJyGwr0l+PYsWPY2Pz9ZNfWrVvTunVrMjJ0k0Ypvz7fEsvZpGtUc3fgkZY1jI4jIiIlrJ6vK3MGNGF8zxA+3xLLl1tPcOJiClOWHuaNlccY2LIGg9v4U9VNi0KJSMEVaChjQYqyf7K/SFmRdC2D99dGATCqW23sbcwGJxIREaN4u9ozNjSELRO78Mq9DQjwcOLKtUz+ty6a9jPWMHLRHg7EJRodU0TKiNtelfHMmTP069cPT09PKleuTO/evYmOji7KbCKlzkfro7mckkFtL2fub1bd6DgiIlIKONpa869WNQkb3ZGPHmtBy4DKZGZb+GnvaXq/u5EH/7eFlYfPka15aCJyC7ddmD3++OM0aNCAdevWsXr1ary9vRk4cGBRZhMpVeKvpDF/QwwAY0LrYLYyGZxIRERKEysrE93refPNU61Z+mw77m3ii7WViW0xF3ni8510nbOOL7bEkpKeaXRUESmFClyYjRw5kuTk5JzHkZGRjB8/nnr16tGkSRNGjhxJeHh4sYQUKQ3eXR1BakYWTfzc6VHP2+g4IiJSijWs7sbch5qyYXxnnuoYiIu9NTEJyUz66RBtpq9m1vKjnEu6ZnRMESlFCrxsUPXq1WnevDkzZ86kT58+PPjgg7Rs2ZK7776bjIwMFi9ezCOPPFKcWUUMc/JiCl9tPwHAuJ51MJnUWyYiIn+vqpsDE++qy4gutflu50k+2RTLiYspvLcmig/XR9O7sS9D2wVQ39fN6KgiYrACF2Zjx46lX79+DB8+nE8//ZR33nmHli1bsnbtWrKyspg5cyb9+vUrzqwihnlz5TEysiy0r+1BmyAPo+OIiEgZ42RnzeC2AfyrtT8rD5/j443R7Ii9xOLdp1i8+xRtgqrwRPtAOgZ7YqWh8iIVUqFutBEQEMDvv//OwoUL6dixIyNHjmT27NnqPZBy7ejZJJbsPQXAuNAQg9OIiEhZZrYy0bOBDz0b+LD35GXmb4jm94Nn2Rx1gc1RFwjydGJou0Dub1ZNK/+KVDCFXvzjwoULPPLII+zYsYM9e/bQunVr9u/fXxzZREqF2cvDsVigV8OqNKyuoSYiIlI0mvi58+7AZqwb24kn2gfgYmdNVHwyLy45QJvpq5mz8hjxV9KMjikiJaTAhVlYWBje3t54enpSvXp1jh49yieffMK0adN4+OGHGTduHKmpqcWZVaTE7Yy9yKoj5zFbmRjdI9joOCIiUg5Vr+TIf3rVY/PELky6px7V3B24mJzO22ERtJ2+mnHf7yP87BWjY4pIMStwYfbMM88wbtw4UlJSePfddxk1ahQAnTt3Zvfu3djY2NCkSZNiiilS8iwWCzOXXV9pdECL6gR5OhucSEREyjMXexuGtgtg3dhOvDewGU383EnPyubbnXGEzl3Pvz7exrpj8Vgsuh+aSHlU4MLszJkz9OrVC3t7e3r27El8fHzOc3Z2drz22mssXry4WEKKGGHtsXi2x17EztqKEV1rGx1HREQqCGuzFb0aVeXHZ9ryw9NtuLuhD1Ym2BCRwKBPthM6dz3f7jjJtYwso6OKSBEq8OIfffr0oV+/fvTp04eNGzdy991359mnfv36RRpOxCjZ2f/fWzaojT9V3RwMTiQiIhVR85qVaF6zOScvpvDJphi+3XGSY+euMu6H/cxcfpR/tfLn0VY1qOJsl+/rXVxcSjixiNyuAveYffzxxzz11FMkJiby6KOPMnfu3GKMJWKspftPc+RMEi521jzdMcjoOCIiUsH5VXbkpd712TyxKy/eHUJVN3sSrqbz5qpjtJm+momL9xN5/v/noaWmZ2IxmanfrBUWk5mU9EwD04tIQRS4x8zW1pbnnnuuOLOIlAoZWdnMWXkMgKc6BlLJydbgRCIiIte5OdjwZIcghrQN4PeDZ5m/IZr9cYl8vf0kX28/ycA7/fhvr3r8b300CzbHkJSaiauDNUPaBDC8UxB2WoJfpNQqUI/Z1q1bC3zAlJQUDh06dNuBRIz2zY6THL+QgoezHUPaBhgdR0REJA8bsxV9Gvvy0zNt+fap1vSo543JBJ1DvJi3Loq3wiJISr3eS5aUmslbYRG8vzZKPWcipViBCrN//etfhIaG8t1335GcnJzvPocPH+bFF18kKCiIXbt2FWlIkZKSmp7FW2ERAIzoWgsnu0Ldg11ERKREmUwm7gyozIePtWDdmE60r+3JZ1ti8913weYYrK0KfQtbESkhBXrXefjwYebNm8d///tfBg4cSHBwML6+vtjb23Pp0iWOHj3K1atXue+++1ixYgUNGzYs7twixWLB5hjir6ThV9mBh+6oYXQcERGRAqtRxYkLV9Nyesr+Kik1kyvXMm66UIiIGKtAhZmNjQ0jRoxgxIgR7Ny5k40bN3L8+HFSU1Np3Lgxzz//PJ07d6Zy5crFnVek2CSmZPDB2igARncPxtZanyqKiEjZ4mJvg6uDdb7FmauDNS72NgakEpGCKPQ4rRYtWtCiRYviyCJiqHnroki6lkmIjwt9GlczOo6IiEihZWVnM6RNQM6w/D8b0iaAzOxsbAu+KLeIlCBNoBEBziVd49PNMQCMDa2D2cpkcCIREZHCc7C1Znin67d5+fOqjINa+/NEh0AcbfXWT6S00m+nCPB2WATXMrJpXrMSXUK8jI4jIiJy2+xszDzVMZBnOtficvI1XB3tWHcsnoEfbeXDf7XAx83e6Igikg/1ZUuFF5OQzKIdJwEY3zMEk0m9ZSIiUrY52lpjsmRxcNdWLFmZvLcmkv1xiUxcvB+LxWJ0PBHJhwozqfDmrDxGVraFznU8uTNAC9iIiEj5ceXKFazNVrzRvzG2ZivWhMfz3a44o2OJSD7+UWF27dq1osohYohDpxNZuu80AGNDQwxOIyIiUjxqe7vwfPdgAF5ZepgziakGJxKRvyp0YZadnc0rr7xCtWrVcHZ2Jjo6GoBJkybx8ccfF3lAkeI0a3k4AH2b+FLP19XgNCIiIsXnifYBNPZz50paJuN/OKAhjSKlTKELs1dffZVPP/2UmTNnYmtrm7O9QYMGzJ8/v0jDiRSnrdEXWBsej7WVidF/fIooIiJSXl0f0tgIW2sr1h+L59udJ42OJCJ/UujC7PPPP+fDDz/kkUcewWw252xv3LgxR48eLdSxsrKymDRpEgEBATg4OBAUFMQrr7yS6xMci8XC5MmTqVq1Kg4ODnTr1o2IiLz35vir9957D39/f+zt7WnZsiXbt28vVDYp3ywWCzOXXW+vD93pR80qTgYnEhERKX61vFx44caQxl+OcOqyhjSKlBaFLsxOnTpFrVq18mzPzs4mIyOjUMeaMWMG8+bN49133+XIkSPMmDGDmTNn8s477+TsM3PmTN5++20++OADtm3bhpOTE6Ghobec3/bNN98wevRoXnrpJXbv3k3jxo0JDQ3l/Pnzhcon5deqI+fZfeIy9jZWjOhS2+g4IiIiJWZY+0Ca1nDnalomE37QKo0ipUWhC7N69eqxYcOGPNu///57mjZtWqhjbd68mb59+9KrVy/8/f3p168fPXr0yOndslgszJ07l//+97/07duXRo0a8fnnn3P69Gl+/PHHmx53zpw5PPHEEwwZMoR69erxwQcf4OjoyCeffFKofFI+ZWVbmP3H3LLH2wbg5ar7uYiISMVhtjIxu39j7Kyt2BCRwNfbNaRRpDQo9A2mJ0+ezKBBgzh16hTZ2dksXryY8PBwPv/8c3755ZdCHatNmzZ8+OGHHDt2jODgYPbt28fGjRuZM2cOADExMZw9e5Zu3brlvMbNzY2WLVuyZcsWHnrooTzHTE9PZ9euXUycODFnm5WVFd26dWPLli355khLSyMtLS3ncVJSEgAZGRmF7gUsajfOb3SO8uTHvacJP3cFV3trHm9TQ9/bYqT2K2Wd2rCUZbdqvzXc7RjdrRbTlh3jtV8P0ybQnWruDiUdUeSmStPf35LKUOjCrG/fvixdupSXX34ZJycnJk+eTLNmzVi6dCndu3cv1LEmTJhAUlISISEhmM1msrKyeO2113jkkUcAOHv2LADe3t65Xuft7Z3z3F8lJCSQlZWV72tuNgdu2rRpTJ06Nc/2FStW4OjoWKhrKi4rV640OkK5kJkN0/aaARMdvdLYtEbf15Kg9itlndqwlGU3a79eFghwMRNzJYsn569jeN1sTKYSDifyN0rD39+UlJQSOU+hCzOA9u3bF8k36dtvv2XhwoV89dVX1K9fn7179zJq1Ch8fX0ZNGjQPz5+QU2cOJHRo0fnPE5KSsLPz48ePXrg6mrsEuoZGRmsXLmS7t27Y2NjY2iW8uDzrSe4mHYULxc7XhvUDgdb89+/SG6b2q+UdWrDUpYVpP02aJVM7/e2cCwREj3rM/BOvxJOKZK/0vT398ZouuJW6MIsMDCQHTt2UKVKlVzbL1++TLNmzXLua1YQY8eOZcKECTlDEhs2bMjx48eZNm0agwYNwsfHB4Bz585RtWrVnNedO3eOJk2a5HtMDw8PzGYz586dy7X93LlzOcf7Kzs7O+zs7PJst7GxMbwh3FCaspRVyWmZzFt3vX2O7FYbVyfNLSspar9S1qkNS1l2q/Zb28edcaEhvPzLYWYsP0aXuj74VS4do4VEoHT8/S2p8xd68Y/Y2FiysrLybE9LS+PUqVOFOlZKSgpWVrkjmM1msrOzAQgICMDHx4ewsLCc55OSkti2bRutW7fO95i2trY0b94812uys7MJCwu76WukYvhkYwwJV9Pxr+LIgBb6RFBERARgcBt/7vSvTEp6FuO+3092tlZpFDFCgXvMfv7555x/L1++HDc3t5zHWVlZhIWF4e/vX6iT9+7dm9dee40aNWpQv3599uzZw5w5c3j88ccBMJlMjBo1ildffZXatWsTEBDApEmT8PX15d577805TteuXbnvvvt49tlnARg9ejSDBg2iRYsW3HnnncydO5fk5GSGDBlSqHxSflxMTufD9dd7y0b3qIONudCfSYiIiJRLVlYmZvZrxF1vbWBL9AW+3Hacx1r7Gx1LpMIpcGF2oxAymUx55n/Z2Njg7+/PG2+8UaiTv/POO0yaNInhw4dz/vx5fH19eeqpp5g8eXLOPuPGjSM5OZknn3ySy5cv065dO5YtW4a9/f8PQ4uKiiIhISHn8YMPPkh8fDyTJ0/m7NmzNGnShGXLluVZEEQqjnlrI7mSlkm9qq7c07Dq379ARESkAvH3cGJ8zzpMWXqYab8dpVOwFzWqaEijSEkqcGH25+GFO3bswMPD4x+f3MXFhblz5zJ37tyb7mMymXj55Zd5+eWXb7pPbGxsnm3PPvtsTg+aVGxnElP5bMtxAMb1rIOVlZacEhER+avHWvvz+8GzbIu5yJjv97HoiVb6f6ZICSr0eK6YmJgiKcpESspbqyJIz8ymZUBlOgZ7Gh1HRESkVLKyMjGrX2Mcbc1sj7nIZ1tijY4kUqHc1nL5ycnJrFu3jhMnTpCenp7ruREjRhRJMJGiEHn+Kt/uPAnAuJ4hmHSDFhERkZuqUcWRiXeFMOmnQ8xYdpTOdbzw93AyOpZIhVDowmzPnj3cfffdpKSkkJycTOXKlUlISMDR0REvLy8VZlKqzFkZTrYFutX1pnnNSkbHERERKfUeaVmT3w6cZUv0BcZ+v49vnmytIY0iJaDQQxmff/55evfuzaVLl3BwcGDr1q0cP36c5s2bM3v27OLIKHJb9sdd5rcDZzGZYGxoHaPjiIiIlAk3Vml0sjWzI/YSCzbHGh1JpEIodGG2d+9eXnjhBaysrDCbzaSlpeHn58fMmTN58cUXiyOjyG2ZtTwcgPuaVqOOj4vBaURERMoOv8qOTLy7LgAzlx0lOv6qwYlEyr9CF2Y2NjY5N4X28vLixIkTALi5uXHy5MmiTSdymzZFJrAhIgEbs4nnuwUbHUdERKTMeaRlDdrV8iAtM5ux3+8nSzeeFilWhS7MmjZtyo4dOwDo2LEjkydPZuHChYwaNYoGDRoUeUCRwrJYLMxcdhS4Pk7er7LuwyIiIlJYJpOJ6Q80xNnOml3HL/HJxhijI4mUa4UuzF5//XWqVr1+g97XXnuNSpUq8fTTTxMfH8///ve/Ig8oUljLD51lX1wijrZmnulcy+g4IiIiZVb1So78p9f1IY2zV4QTeV5DGkWKS6FXZWzRokXOv728vFi2bFmRBhL5JzKzspm94hgAw9oF4OliZ3AiERGRsu2hO/z47cAZNkQkMPb7fXz/7zaYtUqjSJErdI/ZzezevZt77rmnqA4nclsW7zlF5PmrVHK0YViHQKPjiIiIlHkmk4kZDzTCxc6aPScuM39DtNGRRMqlQhVmy5cvZ8yYMbz44otER1//pTx69Cj33nsvd9xxB9nZ2cUSUqQgrmVkMXfl9d6y4Z1q4WpvY3AiERGR8sHX3YFJ99QD4I2Vx4g8f8XgRCLlT4ELs48//pi77rqLTz/9lBkzZtCqVSu+/PJLWrdujY+PDwcPHuS3334rzqwit/Tl1uOcTrxGVTd7/tW6ptFxREREypX+LarTqY4n6ZnZvPDdfjKz9IG8SFEqcGH21ltvMWPGDBISEvj2229JSEjg/fff58CBA3zwwQfUrVu3OHOK3NKVaxm8tyYSgFHdamNvYzY4kYiISPliMpmYdn9DXOyt2XfyMh9qSKNIkSpwYRYVFUX//v0BuP/++7G2tmbWrFlUr1692MKJFNT8DTFcSskg0NOJB5qpTYqIiBSHqm4OTP5jSOPclREcO6chjSJFpcCFWWpqKo6O1+8HZTKZsLOzy1k2X8RICVfTciYij+lRB2tzka1pIyIiIn/Rr3l1uoR4kZ6VzZjv9mlIo0gRKdRy+fPnz8fZ2RmAzMxMPv30Uzw8PHLtM2LEiKJLJ1IA762JJDk9i4bV3LirgY/RcURERMq1G0Mau89Zx/64RP63Plr3DRUpAgUuzGrUqMFHH32U89jHx4cvvvgi1z4mk0mFmZSouEspLNx6AoDxPUMwmXRfFRERkeLm7WrPlD71Gf3tPuauOkbXul6E+LgaHUukTCtwYRYbG1uMMURuz9xVEaRnZdO2VhXa1fb4+xeIiIhIkbivaTV+O3CGVUfO88K3+/jxmbbYaDqByG3Tb4+UWcfOXWHx7jgAxoWGGJxGRESkYjGZTLx+X0PcHGw4dDqJeWujjI4kUqapMJMya/bycLIt0LO+D4393I2OIyIiUuF4udoztU99AN4Oi+Dw6SSDE4mUXSrMpEzafeISKw6fw8oEY0KDjY4jIiJSYfVt4kuPet5kZlsY890+0jO1SqPI7VBhJmWOxWJh5rKjwPUle2t5uRicSEREpOIymUy8el8D3B1tOHwmiffWRBodSaRMUmEmZc6GiAS2Rl/E1tqKkd3UWyYiImI0Lxd7Xu7bALh+G5uDpxINTiRS9hTqPmY3ZGdnExkZyfnz58nOzt1d3aFDhyIJJpKf7GwLM5df7y37V6uaVHN3MDiRiIiIAPRuVJXf9p9h2aGzjPluHz8/2w5ba/UBiBRUoQuzrVu3MnDgQI4fP47FYsn1nMlkIisrq8jCifzVbwfPcPBUEs521gzvFGR0HBEREfnDjSGN22MvcvTsFd5dHcHoHnWMjiVSZhT6Y4x///vftGjRgoMHD3Lx4kUuXbqU83Xx4sXiyCgCQEZWNm+sOAbAE+0DqeJsZ3AiERER+TMPZzteuTGkcW0UB+I0pFGkoApdmEVERPD6669Tt25d3N3dcXNzy/UlUly+3xVHTEIyVZxsGdo+wOg4IiIiko9ejarSq2FVsv5YpTEtU6OpRAqi0IVZy5YtiYzUajtSsq5lZDF31fXesmc618LZ7ramR4qIiEgJeLlvfao42RJ+7gpvh0UYHUekTCj0u9vnnnuOF154gbNnz9KwYUNsbGxyPd+oUaMiCydyw2ebYzmXlEY1dwceaVXD6DgiIiJyC1Wc7Xj13gY8vXA3H6yLpkc9Hxr7uRsdS6RUK3Rh9sADDwDw+OOP52wzmUxYLBYt/iHFIjE1g/fXRgHwfPdg7KzNBicSERGRv3NXw6r0buzL0n2nGfPdPpY+1w57G/0/XORmCl2YxcTEFEcOkZv6aH00iakZ1PZy5r6m1YyOIyIiIgU0tU99tkQlEHH+Km+FRTC+Z4jRkURKrUIXZjVr1iyOHCL5On/lGh9vvP5hwNjQOpitTAYnEhERkYKq7GTLq/c25N9f7uJ/66LoUc+bpjUqGR1LpFS6rbv+RUVF8dxzz9GtWze6devGiBEjiIqKKupsIry7OpLUjCya1nCnez1vo+OIiIhIIfVs4EPfJr5kW2DMd/u4lqFpLyL5KXRhtnz5curVq8f27dtp1KgRjRo1Ytu2bdSvX5+VK1cWR0apoE5cSOGrbScAGBcagsmk3jIREZGyaErv+ni62BEVn8ybK48ZHUekVCr0UMYJEybw/PPPM3369Dzbx48fT/fu3YssnFRsc1aGk5ltoUOwJ62DqhgdR0RERG5TJSdbXr+vIU98vpOPNkTTo74PzWtqSKPInxW6x+zIkSMMHTo0z/bHH3+cw4cPF0kokSNnkvhp32kAxoXWMTiNiIiI/FPd63lzf9NqZFtgrIY0iuRR6MLM09OTvXv35tm+d+9evLy8iiKTCLOXh2OxQK9GVWlQzc3oOCIiIlIEXupdHy8XO6ITkpm9PNzoOCKlSqGHMj7xxBM8+eSTREdH06ZNGwA2bdrEjBkzGD16dJEHlIpnR+xFwo6ex2xl4oXuwUbHERERkSLi5mjDtPsbMvSznXy8KYaeDXxo4V/Z6FgipUKhC7NJkybh4uLCG2+8wcSJEwHw9fVlypQpjBgxosgDSsVisViYuewoAANa+BHo6WxwIhERESlKXet680Cz6vywO44x3+3j95EdcLDVjadFCj2U0WQy8fzzzxMXF0diYiKJiYnExcUxcuRIrZon/9ja8Hh2xF7CztqKkV1rGx1HREREisHk3vXwdrUj9kIKszSkUQS4zfuY3eDi4oKLi0tRZZEKLjvbwow/essGt/XHx83e4EQiIiJSHNwcbJj+QCMAFmyOYXvMRYMTiRivQEMZmzVrRlhYGJUqVaJp06a37BnbvXt3kYWTimXp/tMcPXsFF3trnu4YZHQcERERKUad63gxoEV1vt0Zx9jv9/H7yPY42hZ6lo1IuVGg1t+3b1/s7Oxy/q0hi1LU0jOzeWPF9RtO/rtjEO6OtgYnEhERkeL233vqsSEigeMXUpi5LJwpfeobHUnEMAUqzF566aWcf0+ZMqW4skgF9s2OE5y4mIKHsx1D2vobHUdERERKgKv99SGNgz7ZzqebY+nZwIdWgVWMjiViiELPMQsMDOTChQt5tl++fJnAwMBCHcvf3x+TyZTn65lnniE2Njbf50wmE999991Njzl48OA8+/fs2bOwlyklKCU9k7dXRwIwsmstDWMQERGpQDoGe/LwnX4AjP1+H8lpmQYnEjFGoQuz2NhYsrLy3qk9LS2NuLi4Qh1rx44dnDlzJudr5cqVAPTv3x8/P79cz505c4apU6fi7OzMXXfddcvj9uzZM9frvv7660LlkpK1YFMs8VfS8KvswIN31DA6joiIiJSwF++uSzV3B05eTM1ZCEykoilw18TPP/+c8+/ly5fj5uaW8zgrK4uwsDACAgIKdXJPT89cj6dPn05QUBAdO3bEZDLh4+OT6/klS5YwYMAAnJ1vfW8rOzu7PK+V0ulySjofrIsC4IXudbC1/kcLhYqIiEgZ5GJvw4wHGvHox9v4fMtxetb3oU0tD6NjiZSoAhdm9957L3D9PmaDBg3K9ZyNjQ3+/v688cYbtx0kPT2dL7/8ktGjR+e7uMiuXbvYu3cv77333t8ea+3atXh5eVGpUiW6dOnCq6++SpUqNx+vnJaWRlpaWs7jpKQkADIyMsjIyLiNqyk6N85vdI7i8t7qCK5cyyTE25m76nmW2+usqMp7+5XyT21YyrKy1n5b+rvx0B3VWbQjjnHf72Pps21wttP0hoqqNLXfkspgslgslsK8ICAggB07duDhUbSfYnz77bcMHDiQEydO4Ovrm+f54cOHs3btWg4fPnzL4yxatAhHR0cCAgKIiorixRdfxNnZmS1btmA2539X+SlTpjB16tQ827/66iscHR1v74Lkb11Og1f3mMmwmHgyJIv6lQrVFEVERKScuZYFM/aZuZhmoq13NgMCs42OJEJKSgoDBw4kMTERV1fXYjtPoQuz4hIaGoqtrS1Lly7N81xqaipVq1Zl0qRJvPDCC4U6bnR0NEFBQaxatYquXbvmu09+PWZ+fn4kJCQU6ze/IDIyMli5ciXdu3fHxsbG0CxFbdLPh1m0I47mNdz5etgdug1DOVSe269UDGrDUpaV1fa7JfoCjy3YBcCng5vTNkirNFZEpan9JiUl4eHhUeyF2W31DycnJ7Nu3TpOnDhBenp6rudGjBhR6OMdP36cVatWsXjx4nyf//7770lJSeGxxx4r9LEDAwPx8PAgMjLypoWZnZ1dzn3a/szGxsbwhnBDacpSFGISkvlu1ykAJtxdF1tb3besPCtv7VcqHrVhKcvKWvvtUMeHf7WqyRdbj/OfHw+zbFR7XOzLTn4pWqWh/ZbU+QtdmO3Zs4e7776blJQUkpOTqVy5MgkJCTg6OuLl5XVbhdmCBQvw8vKiV69e+T7/8ccf06dPnzyLhRREXFwcFy5coGrVqoV+rRSfN1aEk5VtoUuIF3f4VzY6joiIiJQiE+4KYe2x85y8mMrrvx1l2v0NjY4kUuwKvQTe888/T+/evbl06RIODg5s3bqV48eP07x5c2bPnl3oANnZ2SxYsIBBgwZhbZ23ToyMjGT9+vUMGzYs39eHhISwZMkSAK5evcrYsWPZunUrsbGxhIWF0bdvX2rVqkVoaGihs0nxOHgqkV/2n8FkgrGhdYyOIyIiIqWMk501Mx9oDMDX20+w/li8wYlEil+hC7O9e/fywgsvYGVlhdlsJi0tDT8/P2bOnMmLL75Y6ACrVq3ixIkTPP744/k+/8knn1C9enV69OiR7/Ph4eEkJiYCYDab2b9/P3369CE4OJihQ4fSvHlzNmzYkO9QRTHGrOXhAPRt7EvdqsbO4RMREZHSqXVQFQa1rgnAhB/2k3TN+NX5RIpToYcy2tjYYGV1vZ7z8vLixIkT1K1bFzc3N06ePFnoAD169OBW64+8/vrrvP766zd9/s+vdXBwYPny5YXOICVnS9QF1h2Lx9rKxPPdg42OIyIiIqXY+LtCWBMez4mLKbz2yxFm9GtkdCSRYlPoHrOmTZuyY8cOADp27MjkyZNZuHAho0aNokGDBkUeUMoPi8XCzOVHAXj4zhrUrOJkcCIREREpzRxtrZn1RzH2zc6TrAk/b3AikeJT6MLs9ddfz1lI47XXXqNSpUo8/fTTxMfH8+GHHxZ5QCk/Vh4+x54Tl3GwMfNcl1pGxxEREZEyoGVgFYa09Qdg4g8HSEzVkEYpnwo9lLFFixY5//by8mLZsmVFGkjKp6xsC7NXXJ9b9ng7f7xc7Q1OJCIiImXFuNAQ1hw9T+yFFF755TCz+zc2OpJIkSt0j5nI7fhxzymOnbuKm4MNT3YIMjqOiIiIlCEOtmZm92+MyQTf74pj9dFzRkcSKXIF6jFr1qwZYWFhVKpUiaZNm2IymW667+7du4ssnJQPaZlZzFl5DICnOwXh5qCbRIqIiEjhtPCvzNC2AczfGMOEHw6w8vnKuDnqPYWUHwUqzPr27Zuz3Py9995bnHmkHPpq2wlOXU7F29WOQa39jY4jIiIiZdSY0DqsPnqe6IRkpv5yiDkDmhgdSaTIFKgwe+mllwDIysqic+fONGrUCHd39+LMJeXE1bRM3l0dCcDIrsE42JoNTiQiIiJllb2NmVn9G9P/g80s3n2KuxtUpVs9b6NjiRSJQs0xM5vN9OjRg0uXLhVXHilnPtkYw4XkdAI8nOjforrRcURERKSMa16zEsPaBwIwcckBLqekG5xIpGgUevGPBg0aEB0dXRxZpJy5mJzOh+uvt5XR3YOxMWutGREREfnnRncPJsjTifgraUz5+ZDRcUSKRKHfKb/66quMGTOGX375hTNnzpCUlJTrS+SG99dEcjUtk/q+rvRqWNXoOCIiIlJO2NtcX6XRygQ/7j3N8kNnjY4k8o8V+j5md999NwB9+vTJtTqjxWLBZDKRlZVVdOmkzDp9OZXPtx4HYFzPEKysbr6Sp4iIiEhhNa1RiSc7BPHBuij+s+Qgd/pXppKTrdGxRG5boQuzNWvWFEcOKWfeWhVBemY2rQIr06G2h9FxREREpBwa1a02YUfOEXH+Ki/9fIi3H25qdCSR21bowiwgIAA/P7889zKzWCycPHmyyIJJ2RV5/irf7breFsb1DLnlfe9EREREbteNIY33z9vMz/tOc3dDH3o20PQJKZsKPccsICCA+Pj4PNsvXrxIQEBAkYSSsu2NFeFkW6B7PW+a1ahkdBwREREpxxr7ufNUh+urNP5nyUEuXE0zOJHI7Sl0YXZjLtlfXb16FXt7+yIJJWXXvpOX+f3gWUwmGBtax+g4IiIiUgGM7FabYG9nLiSnM1mrNEoZVeChjKNHjwbAZDIxadIkHB0dc57Lyspi27ZtNGnSpMgDStkya3k4APc3rU6wt4vBaURERKQisLM280b/Jtz7/iZ+3X+GuxucoVcjDWmUsqXAhdmePXuA6z1mBw4cwNb2/1e9sbW1pXHjxowZM6boE0qZsTEigY2RCdiYTYzqVtvoOCIiIlKBNKzuxvBOQbyzOpJJPx2kZWBlPJztjI4lUmAFLsxurMY4ZMgQ3nrrLVxdXYstlJQ9FouFmcuPAvBIy5r4VXb8m1eIiIiIFK3nutRm5eFzHD17hUk/HuT9R5ppETIpMwo9x2zBggUqyiSPZQfPsj8uEUdbM892qWV0HBEREamAbK2tmN2/MdZWJn4/eJZf9p8xOpJIgRV6uXyAnTt38u2333LixAnS09NzPbd48eIiCSZlR2ZWNrNWXJ9bNqx9oIYNiIiIiGEaVHPjmc61eCssgsk/HaRVYBU8XfTeREq/QveYLVq0iDZt2nDkyBGWLFlCRkYGhw4dYvXq1bi5uRVHRinlFu8+RXR8MpUcbXiivW6ZICIiIsZ6pnMt6lZ15VJKBv/98QAWi8XoSCJ/q9CF2euvv86bb77J0qVLsbW15a233uLo0aMMGDCAGjVqFEdGKcWuZWTx5qpjwPU/gi72NgYnEhERkYrO1tqKN/4Y0rj80Dl+3nfa6Egif6vQhVlUVBS9evUCrq/GmJycjMlk4vnnn+fDDz8s8oBSun259ThnEq9R1c2eR1vVNDqOiIiICAD1fF15rsv1VaIn/3SI80nXDE4kcmuFLswqVarElStXAKhWrRoHDx4E4PLly6SkpBRtOinVrlzL4L01kQA83y0YexuzwYlERERE/t/wzkHU93UlMTWDF5cc1JBGKdUKXZh16NCBlStXAtC/f39GjhzJE088wcMPP0zXrl2LPKCUXh9tiOFSSgZBnk7c36ya0XFEREREcrExW/HGgMbYmE2sOnKOH/eeMjqSyE0VelXGd999l2vXrncF/+c//8HGxobNmzfzwAMP8N///rfIA0rplHA1jfkbogEY06MO1uZC1/giIiIixS7Ex5WRXWsze8UxXvrpEG2CPPB2tTc6lkgehS7MKleunPNvKysrJkyYUKSBpGx4d3UkKelZNKruRs8GPkbHEREREbmpf3cMYvmhcxw4lciLiw8wf1AL3XhaSp3buo9ZVlYWS5Ys4ciRIwDUq1ePvn37Ym19W4eTMubkxRQWbjsOwPieIfrDJiIiIqWatfn6jad7v7ORsKPn+WH3Kfo1r250LJFcCj3+7NChQwQHBzNo0CCWLFnCkiVLGDRoELVr185ZCETKtzdXHSMjy0K7Wh60reVhdBwRERGRv1XHx4WR3a6v0jh16SHOJmqVRildCl2YDRs2jPr16xMXF8fu3bvZvXs3J0+epFGjRjz55JPFkVFKkfCzV1iy5/rE2bGhdQxOIyIiIlJwT3UIpHF1N65cy2TC4v1apVFKlUIXZnv37mXatGlUqlQpZ1ulSpV47bXX2LNnT5GGk9Jn9opwLBa4q4EPjf3cjY4jIiIiUmA3hjTamq1YGx7Pd7vijI4kkqPQhVlwcDDnzp3Ls/38+fPUqlWrSEJJ6bTr+CVWHj6HlQle6KHeMhERESl7anu7MLpHMACvLD3M6cupBicSua7Qhdm0adMYMWIE33//PXFxccTFxfH9998zatQoZsyYQVJSUs6XlB8Wi4WZy44C0L+5H7W8nA1OJCIiInJ7nmgfSBM/d66kZTJh8QENaZRSodDLKN5zzz0ADBgwIGc1vhuNuXfv3jmPTSYTWVlZRZVTDLY+IoFtMRextbbKmTgrIiIiUhaZrUzM7t+Yu9/ewPpj8Xyz4yQP3VnD6FhSwRW6MFuzZk1x5JBSLDv7/3vLHmtVE193B4MTiYiIiPwztbycGdMjmNd/O8qrvx6hfbAn1fQeRwxU6MKsY8eOxZFDSrFfD5zh0OkknO2sGd5Z8whFRESkfBjaLpBlB8+y+8Rlxn+/ny+G3qn7s4phCj3HDGDDhg08+uijtGnThlOnri+d/sUXX7Bx48YiDSfGy8jK5o0V4QA82SGQyk62BicSERERKRo3hjTaWVuxMTKBr7afMDqSVGCFLsx++OEHQkNDcXBwYPfu3aSlpQGQmJjI66+/XuQBxVjf7Ywj9kIKVZxsGdouwOg4IiIiIkUq0NM5596sr/96hJMXUwxOJBVVoQuzV199lQ8++ICPPvoIGxubnO1t27Zl9+7dRRpOjJWansVbYccAeK5LLZzsCj3yVURERKTUG9I2gDv8K5GcnsX4H/aTna1VGqXkFbowCw8Pp0OHDnm2u7m5cfny5aLIJKXEZ1tiOZeURjV3Bx5uqZWKREREpHwyW5mY1a8x9jZWbI66wEINaRQDFLow8/HxITIyMs/2jRs3EhgYWCShxHiJKRm8v+b6z3l092DsrM0GJxIREREpPv4eTozvGQLAtN80pFFKXqELsyeeeIKRI0eybds2TCYTp0+fZuHChYwZM4ann366ODKKAf63Poqka5kEeztzb9NqRscRERERKXaDWvtzZ0BlUtKzGPv9Pg1plBJV6ElDEyZMIDs7m65du5KSkkKHDh2ws7NjzJgxPPfcc8WRUUrY+aRrLNgUC8DY0BDMVlo2VkRERMo/KysTs/o1oufcDWyNvsgXW48zqI2/0bGkgih0j5nJZOI///kPFy9e5ODBg2zdupX4+HheeeUVUlNTiyOjlLB3VkeSmpFFsxrudKvrZXQcERERkRJTs4oTE+66PqRx+u9HOX4h2eBEUlHc1n3MAGxtbalXrx533nknNjY2zJkzh4AALade1h2/kMzXf0x4HdczRDdZFBERkQrnX61q0iqwMqkZWYz9Xqs0SskocGGWlpbGxIkTadGiBW3atOHHH38EYMGCBQQEBPDmm2/y/PPPF+rk/v7+mEymPF/PPPMMAJ06dcrz3L///e9bHtNisTB58mSqVq2Kg4MD3bp1IyIiolC5KrI5K4+RmW2hY7AnrQKrGB1HREREpMRZ/bFKo6Otme0xF/lsS6zRkaQCKHBhNnnyZObNm4e/vz+xsbH079+fJ598kjfffJM5c+YQGxvL+PHjC3XyHTt2cObMmZyvlStXAtC/f/+cfZ544olc+8ycOfOWx5w5cyZvv/02H3zwAdu2bcPJyYnQ0FCuXbtWqGwV0eHTSfy87zRAzo0WRURERCoiv8qOTLy7LgAzlh0lJkFDGqV4FXjxj++++47PP/+cPn36cPDgQRo1akRmZib79u277eFunp6euR5Pnz6doKAgOnbsmLPN0dERHx+fAh3PYrEwd+5c/vvf/9K3b18APv/8c7y9vfnxxx956KGHbitnRTF7RTgWC9zTqCoNqrkZHUdERETEUI/cWYPfD5xhc9QFxn63j2+eaq1F0aTYFLgwi4uLo3nz5gA0aNAAOzs7nn/++SKbg5Sens6XX37J6NGjcx1z4cKFfPnll/j4+NC7d28mTZqEo6NjvseIiYnh7NmzdOvWLWebm5sbLVu2ZMuWLTctzNLS0khLS8t5nJSUBEBGRgYZGRlFcXm37cb5izvHjthLrD56HrOViZFdAg2/bikfSqr9ihQXtWEpy9R+i8Zrfetxz7ub2Xn8Eh9viGJIm5pGR6oQSlP7LakMBS7MsrKysLW1/f8XWlvj7OxcZEF+/PFHLl++zODBg3O2DRw4kJo1a+Lr68v+/fsZP3484eHhLF68ON9jnD17FgBvb+9c2729vXOey8+0adOYOnVqnu0rVqy4aRFY0m4M8ywOFgu8dcgMmGjpmcXhbes4XGxnk4qoONuvSElQG5ayTO33n+tV3cS30WZmLTuK6cwhvByMTlRxlIb2m5JSMjcbN1kslgItM2NlZcVdd92FnZ0dAEuXLqVLly44OTnl2u9mRdPfCQ0NxdbWlqVLl950n9WrV9O1a1ciIyMJCgrK8/zmzZtp27Ytp0+fpmrVqjnbBwwYgMlk4ptvvsn3uPn1mPn5+ZGQkICrq+ttXU9RycjIYOXKlXTv3h0bG5tiOcfq8Hie+nIPdtZWhD3fDm9X+2I5j1Q8JdF+RYqT2rCUZWq/RcdisTD4s11sjrpIUz83vh52p4Y0FrPS1H6TkpLw8PAgMTGxWGuDAveYDRo0KNfjRx99tMhCHD9+nFWrVv1tUdeyZUuAmxZmN+ainTt3Lldhdu7cOZo0aXLT49rZ2eUUnH9mY2NjeEO4obiyZGdbeHNVJABD2gZQvYpLkZ9DpDT9LoncDrVhKcvUfovGrP5NCH1zPXtOJvLFtjie6BBodKQKoTS035I6f4ELswULFhRbiAULFuDl5UWvXr1uud/evXsBchVdfxYQEICPjw9hYWE5hVhSUhLbtm3j6aefLsrI5cbP+05z9OwVXOytebpj3mJXRERERKCauwP/7VWXCYsPMGtFOJ1DvKjlVXTTekRu+wbTRSU7O5sFCxYwaNAgrK3/v06MiorilVdeYdeuXcTGxvLzzz/z2GOP0aFDBxo1apSzX0hICEuWLAHAZDIxatQoXn31VX7++WcOHDjAY489hq+vL/fee29JX1qpl56ZzRsrwwH4d8cg3Bz1aZqIiIjIzTx4hx8dgj1Jz8xmzHf7yNKNp6UIGV6YrVq1ihMnTvD444/n2m5ra8uqVavo0aMHISEhvPDCCzzwwAN55qCFh4eTmJiY83jcuHE899xzPPnkk9xxxx1cvXqVZcuWYW+veVN/tWjHCU5eTMXTxY4hbf2NjiMiIiJSqplMJmY80BAXO2v2nrzMRxuijY4k5UiBhzIWlx49epDf+iN+fn6sW7fub1//19eaTCZefvllXn755SLLWB6lpGfydtj1uWUjutbG0dbwpiAiIiJS6lV1c2BS73qM+34/c1Yco2uIF7W9NUdf/jnDe8zEGAs2xZJwNY0alR15sIWf0XFEREREyoz+zavTuY4n6VnXhzRmZmUbHUnKARVmFdCl5HQ+WBsFwAs9grG1VjMQERERKSiTycS0+xvhYm/NvrhE/rdeQxrln9M78grog3VRXEnLJMTHhd6NfI2OIyIiIlLm+LjZ81Lv+gC8tSqC8LNXDE4kZZ0KswrmbOI1Pt0cC8D4niFY6eaIIiIiIrflgWbV6BrilTOkMUNDGuUfUGFWwbwVFkFaZjZ3+lemUx1Po+OIiIiIlFkmk4nX72+Iq701B04l8r91UUZHkjJMhVkFEh1/lW93ngRgXM86mEzqLRMRERH5J7xd7Zna948hjWERHDmTZHAiKatUmFUgb6w8Rla2ha4hXrTwr2x0HBEREZFy4d4m1ehW15uMLIuGNMptU2FWQRw8lciv+89gMsGY0DpGxxEREREpN64PaWyAu6MNh04n8f4aDWmUwlNhVkHMXB4OXP9Ep25VV4PTiIiIiJQvXi72TO1zfUjjO6sjOHQ60eBEUtaoMKsANkclsP5YPNZWJp7vFmx0HBEREZFyqU9jX0Lre5OZbWHMd/tJz9SQRik4FWblnMViYeay671lA1vWoEYVR4MTiYiIiJRPJpOJV+9tSCVHG46cSeK9NZFGR5IyRIVZObfi8Dn2nryMg42ZZ7vUMjqOiIiISLnm6WLHy30bAPDemkgOntKQRikYFWblWFa2hdl/zC0b2i4ALxd7gxOJiIiIlH/3NKrK3Q19/hjSuE9DGqVAVJiVY0v2nCLi/FXcHGx4okOg0XFEREREKgSTycTLfRtQ2cmWo2ev8M7qCKMjSRmgwqycSsvM4s2VxwAY3ikINwcbgxOJiIiIVBwezna88seQxvfXRnEgTkMa5dZUmJVTC7ee4NTlVLxd7RjUxt/oOCIiIiIVTq9GVenVqCpZ2RZe+G4vaZlZRkeSUkyFWTl0NS2Td/9YBWhUt2DsbcwGJxIRERGpmF7p2wAPZ1uOnbvKW6s0pFFuToVZOfTxhhguJqcT6OFE/+bVjY4jIiIiUmFVdrLl1XuvD2n8YF0U+05eNjaQlFoqzMqZC1fT+GhDNACjewRjbdaPWERERMRIPRtUpU9jX7It8MJ3+7iWoSGNkpfetZcz76+N4mpaJg2quXJ3g6pGxxERERERYGqf+ng42xF5/ipzNaRR8qHCrBw5dTmVL7YcB2BcaAhWViaDE4mIiIgIQCUnW16/7/qQxg/XR7H7xCWDE0lpo8KsHHlr1THSs7JpHViF9rU9jI4jIiIiIn/So74P9za5PqRxrIY0yl+oMCsnIs9f4ftdcQCM7VkHk0m9ZSIiIiKlzZQ+9fF0sSMqPpk5f9xzVgRUmJUbs5cfI9sCPep506xGJaPjiIiIiEg+3B1tmXZfQwA+2hDNruMXDU4kpYUKs3Jg78nLLDt0FisTjAmtY3QcEREREbmFbvW8ub9ZNSwWGPvdfg1pFECFWbkwc9lRAO5vVp1gbxeD04iIiIjI33npnvp4u9oRnZDM7OXhRseRUkCFWRm3MSKBzVEXsDVbMapbbaPjiIiIiEgBuDnaMO3+60MaP94Uw45YDWms6FSYlWEWi4UZf/SWPdKqBtUrORqcSEREREQKqkuIN/2aV/9jSOM+UtM1pLEiU2FWhv1+8CwHTiXiZGvmmc61jI4jIiIiIoU06Z56+LjaE3shhZnLjxodRwykwqyMyszKZvaK6+ORh7UPxMPZzuBEIiIiIlJYbg42TH/g+pDGTzfHsi36gsGJxCgqzMqoH3bHER2fTGUnW4a1DzA6joiIiIjcpk51vHiwhd/1IY3f7yclPdPoSGIAFWZl0LWMLOauigBgeKcgXOxtDE4kIiIiIv/Ef+6pi6+bPScupjBzmVZprIhUmJVBX2w5zpnEa/i62fNoq5pGxxERERGRf8jV3obpDzQCrg9p3BKlIY0VjQqzMibpWgbvrY0EYFT3YOxtzAYnEhEREZGi0CHYk4fvrAHAuB/2kZymIY0ViQqzMuaj9dFcTsmglpcz9zetZnQcERERESlCL94dQjV3B05eTGX671qlsSJRYVaGxF9J4+ONMQCM6RGMtVk/PhEREZHyxMXehhl/DGn8YutxNkcmGJxISore2Zch762JJCU9i8bV3Qit72N0HBEREREpBu1qe/BIy+tDGsd+v5+rGtJYIagwKyNOXkph4bbjAIzvGYLJZDI4kYiIiIgUl4l316V6JQdOXU7l9d+OGB1HSoAKszLAxcWFjzceJyPLQvvaHrSp5WF0JBEREREpRs521szsd31I41fbTrAhIt7gRFLcrI0OIDeXmp6J2cpMvWataOVoS8c6XtSs4mh0LBEREREpAW2CPHisdU0+33Kc8d/vZ/nzHXT/2nJMhVkplZaRxQfrolmwOYak1ExcHawZ3NqfjsGeRkcTERERkRIyvmcIa8LPc/Li9SGN0+5vZHQkKSYaylgKpaZn8v7aKN4KiyAp9fpkz6TUTN5eHcn7a6NISdcEUBEREZGKwMnOmln9GgPw9faTrDumIY3llQqzUshsZcWCzTH5PrdgcwzWVvqxiYiIiFQUrQKrMLiNPwATfthP0rUMYwNJsdA7/FLoyrWMnJ6yv0pKzeSKfhlFREREKpRxPetQs4ojZxKv8eovh42OI8XA0MLM398fk8mU5+uZZ57h4sWLPPfcc9SpUwcHBwdq1KjBiBEjSExMvOUxBw8enOd4PXv2LKErKhou9ja4OuQ//c/VwVqTPkVEREQqGEfb60MaTSb4dmcca8LPGx1JipihhdmOHTs4c+ZMztfKlSsB6N+/P6dPn+b06dPMnj2bgwcP8umnn7Js2TKGDh36t8ft2bNnruN+/fXXxX0pRSorO5shbQLyfW5ImwAys7NLOJGIiIiIGO3OgMo57xEn/LCfxFSNoipPDF2V0dMz9wqD06dPJygoiI4dO2Iymfjhhx9yngsKCuK1117j0UcfJTMzE2vrm0e3s7PDx8en2HIXNwdba4Z3CgLItSrjkDYBDO8UhJ2N2eCEIiIiImKEsaF1WBN+npiEZF755TCz+zc2OpIUkVKzXH56ejpffvklo0ePxmQy5btPYmIirq6utyzKANauXYuXlxeVKlWiS5cuvPrqq1SpUuWm+6elpZGWlpbzOCkpCYCMjAwyMoz5JMIKeLJDAM90rsXl5Gu4O9mTkZWFFdlkZKjHTMqGG78/Rv0eifxTasNSlqn9lk/WJph2bz0e/ngH3++Ko0ddTzrXKX+3UypN7bekMpgsFoulRM70N7799lsGDhzIiRMn8PX1zfN8QkICzZs359FHH+W111676XEWLVqEo6MjAQEBREVF8eKLL+Ls/H/t3Xl4VPX99vF7JskkgWwkIVsJsokQICBQaFx+bFlQwKDUKvpgWKz6FNcobqUg1LrgShWtUg36WDd+LKKyyKZFQbQgkESLgMFIQ4Ksk7Bk/T5/pBlJEywBZk5m8n5dV65Lzpw553Pi7XLnfOckRBs2bJCfX+N3mh566CHNmDGjwfY333xTrVpZ+wudHQ6HAgMDVV5eroqKCktnAQAAQPOweLdda/faFRZg9ECfarVqNrdbfM+xY8d03XXXuW4SuUuzKWYZGRlyOBx6//33G7zmdDqVlpamyMhILVmyRAEBp//wi++++06dO3fWqlWrNGzYsEb3aeyOWWJiovbv3+/Wb/7pqKys1MqVK5WWltak6waaA/ILb0eG4c3Ir287UVmtzBc26Lv9xzS6d7ye+HUvq0c6p5pTfp1Op6Kjo91ezJpFt/7++++1atUqLVy4sMFrpaWlGj58uEJDQ7Vo0aIm/43p1KmToqOjtXPnzlMWs8DAQAUGBjbYHhAQYHkQ6jSnWYCmIr/wdmQY3oz8+qaAgAA9+Zs++vWL67V4616N6P0LpSXFWj3WOdcc8uup8zeL32OWk5OjmJgYjRgxot52p9Op9PR0ORwOLVmyREFBQU0+9p49e3TgwAHFx8efq3EBAAAAy/Vt30a/vbSTJOnBRbk6fIyPvXgzy4tZTU2NcnJylJWVVe+hHnWl7OjRo3rllVfkdDpVXFys4uJiVVdXu/br1q2bFi1aJEkqKyvTlClT9Pnnn2v37t1avXq1MjMz1aVLF2VkZHj82gAAAAB3uiutqzq3ba0fS8v10JJ8q8fBWbC8mK1atUqFhYWaOHFive2bN2/Wxo0blZubqy5duig+Pt719cMPP7j22759u+uXTvv5+Wnbtm264oor1LVrV02aNEn9+vXTunXrGl2qCAAAAHizoAA/PfWbPrLbpMVbirQ8r9jqkXCGLP+MWXp6uhp7/sjgwYMb3f6fTt4nODhYK1asOKfzAQAAAM1Zn8QI3Tyos178eJemLs7VgI6RimztsHosNJHld8wAAAAAnJ07U8/X+TEh2l9WoeksafRKFDMAAADAywX6++nJq3vLz27T+1uLtCx3r9UjoYkoZgAAAIAP6J0YoVsG1T6lceriPB0oK/8v70BzQjEDAAAAfMTtw87XBbGhOnC0QtPeY0mjN6GYAQAAAD7i5CWNH+bu1QfbiqweCaeJYgYAAAD4kF7twjV5cGdJ0rT38rWfJY1egWIGAAAA+Jhbh56vbnGhOni0Qn9YnHdav4YK1qKYAQAAAD7G4W/XU7/pLX+7TcvyivX+Np7S2NxRzAAAAAAf1CMhXLcO7SJJmvZenvaVnrB4IvwcihkAAADgoyYP6aKk+DAdPlapqYtY0ticUcwAAAAAHxXgZ9eTV/dWgJ9NH31doiVbeUpjc0UxAwAAAHxYUkKYbht6vqTapzTuc7KksTmimAEAAAA+7v8O7qyevwjTkeOVenBRLksamyGKGQAAAODjTl7SuOqbfVr01b+sHgn/gWIGAAAAtADd4sJ0Z2pXSdJDS/JVwpLGZoViBgAAALQQN/9PJyW3C5fzRJUeWMiSxuaEYgYAAAC0EP7/XtLo8LNrzT/36X837bF6JPwbxQwAAABoQbrGhurOtNqnNM784GvtPXLc4okgUcwAAACAFuemSzupd2KESk9U6f4FLGlsDihmAAAAQAvj72fXU1cny+Fv1yff/qj5/2BJo9UoZgAAAEAL1CUmVHen1T6l8Y8ffK2iwyxptBLFDAAAAGihbry0ky5sH6HS8irdt2AbSxotRDEDAAAAWig/u01PXt1bgf52rduxX29/+YPVI7VYFDMAAACgBevcNkRTMi6QJP3pw2+059AxiydqmShmAAAAQAs34eKO6n9eG5WV85RGq1DMAAAAgBbOz27TrF8nKyjArk937tebXxRaPVKLQzEDAAAAoE5tQzQlo5sk6ZEPv9EPB1nS6EkUMwAAAACSpAkXddCADpE6WlGt+xZsU00NSxo9hWIGAAAAQJJkP2lJ4/pdB/S3jd9bPVKLQTEDAAAA4NIhurXuH167pPHRZf9U4QGWNHoCxQwAAABAPTekdNDAjpE6VlGtKf+7lSWNHkAxAwAAAFCP3W7TE7/urVYOP20sOKj/9zlLGt2NYgYAAACggfZRrXT/ZbVLGh9b9k99f+CoxRP5NooZAAAAgEb9n4HnKaVTlI5XVmvKfJ7S6E4UMwAAAACNqntKYyuHn77YfVDz1u+2eiSfRTEDAAAAcEqJka304OXdJUmzVvxTBftZ0ugOFDMAAAAAP+v6ge11cZconais0ZT5W1XNksZzjmIGAAAA4GfZbDY9PiZZrR1++sf3h5TzWYHVI/kcihkAAACA/6pdm1aaOjJJkvTEiu3a9WOZxRP5FooZAAAAgNNy7S8Tden50SqvYknjuUYxAwAAAHBa6pY0hgb6a3PhYb3y6XdWj+QzKGYAAAAATltCRLCmjqx9SuOTH32rnftKLZ7IN1DMAAAAADTJb/onalDXtqqoqtHd87epqrrG6pG8HsUMAAAAQJPYbDY9NqaXQoP8tfWHw5q7jqc0ni1Li1mHDh1ks9kafE2ePFmSdOLECU2ePFlRUVEKCQnRmDFjVFJS8rPHNMZo2rRpio+PV3BwsFJTU7Vjxw5PXA4AAADQYsSHB2vav5/S+MzKb7WjhCWNZ8PSYvbll19q7969rq+VK1dKkq6++mpJ0l133aX3339f8+fP1yeffKKioiJdddVVP3vMWbNm6c9//rP+8pe/aOPGjWrdurUyMjJ04sQJt18PAAAA0JL8ul87De0Wo4rqGt09fytLGs+CpcWsbdu2iouLc3198MEH6ty5swYNGqQjR47olVde0dNPP62hQ4eqX79+ysnJ0fr16/X55583ejxjjJ599llNnTpVmZmZSk5O1uuvv66ioiItXrzYsxcHAAAA+DibzaZHruylsCB/bdtzRC/9nac0nil/qweoU1FRoTfeeEPZ2dmy2WzatGmTKisrlZqa6tqnW7duat++vTZs2KBf/epXDY5RUFCg4uLieu8JDw/XwIEDtWHDBl177bWNnru8vFzl5eWuPzudTklSZWWlKisrz9UlnpG681s9B3AmyC+8HRmGNyO/8JSoVn6aenk33bswT8+u+laDz49U19jQszpmc8qvp2ZoNsVs8eLFOnz4sMaPHy9JKi4ulsPhUERERL39YmNjVVxc3Ogx6rbHxsae9nsk6dFHH9WMGTMabP/oo4/UqlWrJlyF+9Qt8wS8EfmFtyPD8GbkF57gMFLPNnblHbLrlpz1uqtntfzOwdq85pDfY8eOeeQ8zaaYvfLKK7rsssuUkJDg8XM/8MADys7Odv3Z6XQqMTFR6enpCgsL8/g8J6usrNTKlSuVlpamgIAAS2cBmor8wtuRYXgz8gtP++X/lOvy5z7TD0erVBjSTZMHdzrjYzWn/NatpnO3ZlHMvv/+e61atUoLFy50bYuLi1NFRYUOHz5c765ZSUmJ4uLiGj1O3faSkhLFx8fXe0+fPn1Oef7AwEAFBgY22B4QEGB5EOo0p1mApiK/8HZkGN6M/MJTfhEZoBlX9NSd72zRnI93KaNnvLrHn91NjuaQX0+dv1n8HrOcnBzFxMRoxIgRrm39+vVTQECAVq9e7dq2fft2FRYWKiUlpdHjdOzYUXFxcfXe43Q6tXHjxlO+BwAAAMC5kdknQWlJsaqsNrr73a2q5CmNp83yYlZTU6OcnBxlZWXJ3/+nG3jh4eGaNGmSsrOztXbtWm3atEkTJkxQSkpKvQd/dOvWTYsWLZJU+1SYO++8Uw8//LCWLFmi3Nxc3XDDDUpISNDo0aM9fWkAAABAi2Kz2fSnK3sqolWAvt7r1Jy1O60eyWtYvpRx1apVKiws1MSJExu89swzz8hut2vMmDEqLy9XRkaGXnjhhXr7bN++XUeOHHH9+d5779XRo0d100036fDhw7rkkku0fPlyBQUFuf1aAAAAgJYuJjRIM67ooTve3qLn1+xUWlKseiSEWz1Ws2d5MUtPT5cxptHXgoKCNGfOHM2ZM+eU7//P99psNs2cOVMzZ848p3MCAAAAOD1X9E7QstxiLc8v1t3vbtWSWy+Rw9/yxXrNGt8dAAAAAOeUzWbTw1f2VGRrh/5ZXKrnWdL4X1HMAAAAAJxz0SGBmpnZQ5I0Z+1O5f3ryH95R8tGMQMAAADgFiOTEzSiV7yqa4zumb9V5VXVVo/UbFHMAAAAALjNzMweivr3ksbnVrOk8VQoZgAAAADcJiokUA+P7ilJevGTXdq257C1AzVTFDMAAAAAbnVZr3iNTGZJ48+hmAEAAABwu5mZPRUd4tC3JWWavWqH1eM0OxQzAAAAAG4X2dqhh0f3kiT95ZNd2vLDYWsHamYoZgAAAAA8YnjPOGX2SVCNke6Zv1UnKlnSWIdiBgAAAMBjHhrVQ9Ehgdq5r0zPrPrW6nGaDYoZAAAAAI9p09qhR66sfUrj3L9/p82FhyyeqHmgmAEAAADwqPQecbrywl+wpPEkFDMAAAAAHjd9VJJiQgP13Y9H9fRKljRSzAAAAAB4XEQrhx69qvYpjXPXfadN3x+0eCJrUcwAAAAAWGJY91iN6dtOxkj3zN+m4xUtd0kjxQwAAACAZaaNSlJsWKAK9h/Vkx9tt3ocy1DMAAAAAFgmPDhAj41JliS9+lmBviioXdIYGhpq5VgeRzEDAAAAYKkhF8ToN/3bqVN0iMqrqmVsfurR91cyNj8dq6iyejyP8Ld6AAAAAACYNipJFVVGOZ8VaPKbm+U8XqWwYH9NuKijfje4swID/Kwe0a0oZgAAAAAs52ezad767/Tcmp2ubc7jVZq9eock6eZBndTK4bv1haWMAAAAACznZ7dr3vrdjb6Ws75A/nbfri6+fXUAAAAAvELpiUo5jzf+eTLn8SqVnqj08ESeRTEDAAAAYLnQoACFBTe+VDEs2F+hQQEensizKGYAAAAALFddU6MJF3Vs9LUJF3VUVU2NhyfyLN/99BwAAAAArxHs8NfvBneWVPuZMp7KCAAAAAAWCAzw082DOmnykC46fPSEIloHqaqmxudLmcRSRgAAAADNSCuHv2ymWnmbPpfNVPv0I/JPRjEDAAAA0OyUlpZaPYJHUcwAAAAAwGIUMwAAAACwGMUMAAAAACxGMQMAAAAAi1HMAAAAAMBiFDMAAAAAsBjFDAAAAAAsRjEDAAAAAItRzAAAAADAYhQzAAAAALAYxQwAAAAALEYxAwAAAACLUcwAAAAAwGL+Vg/QHBljJElOp9PiSaTKykodO3ZMTqdTAQEBVo8DNAn5hbcjw/Bm5BferDnlt64T1HUEd6GYNaK0tFSSlJiYaPEkAAAAAJqD0tJShYeHu+34NuPu6ueFampqVFRUpNDQUNlsNktncTqdSkxM1A8//KCwsDBLZwGaivzC25FheDPyC2/WnPJrjFFpaakSEhJkt7vvk2DcMWuE3W5Xu3btrB6jnrCwMMtDCZwp8gtvR4bhzcgvvFlzya8775TV4eEfAAAAAGAxihkAAAAAWIxi1swFBgZq+vTpCgwMtHoUoMnIL7wdGYY3I7/wZi0xvzz8AwAAAAAsxh0zAAAAALAYxQwAAAAALEYxAwAAAACLUcwAAAAAwGI+X8zGjx+v0aNHWz2Gxo8fL5vNJpvNpoCAAMXGxiotLU2vvvqqampq3HruhQsXKi0tTW3btlVYWJhSUlK0YsWKBvvNmTNHHTp0UFBQkAYOHKgvvvii3usvv/yyBg8erLCwMNlsNh0+fLjBMTZv3qy0tDRFREQoKipKN910k8rKytx1aT6P/J6b/B48eFC33XabLrjgAgUHB6t9+/a6/fbbdeTIkXrHKCws1IgRI9SqVSvFxMRoypQpqqqqcuv1+TLy69n83n777erXr58CAwPVp08ft15XS0B+PZffrVu3auzYsUpMTFRwcLC6d++u2bNnu/XafB359Vx+Dxw4oOHDhyshIUGBgYFKTEzUrbfeKqfT2eSZfb6YNSfDhw/X3r17tXv3bi1btkxDhgzRHXfcoZEjR7r1f/7+/ve/Ky0tTUuXLtWmTZs0ZMgQjRo1Sl999ZVrn3feeUfZ2dmaPn26Nm/erN69eysjI0P79u1z7XPs2DENHz5cDz74YKPnKSoqUmpqqrp06aKNGzdq+fLlys/P1/jx4912bfAcb85vUVGRioqK9OSTTyovL0/z5s3T8uXLNWnSJNcxqqurNWLECFVUVGj9+vV67bXXNG/ePE2bNs1t1wbP8fX81pk4caKuueYat10PrOHr+d20aZNiYmL0xhtvKD8/X7///e/1wAMP6Pnnn3fbtcFzfD2/drtdmZmZWrJkib799lvNmzdPq1at0i233NL0oY2Py8rKMpmZmcYYY5YtW2YuvvhiEx4ebiIjI82IESPMzp07XfsWFBQYSWbBggVm8ODBJjg42CQnJ5v169ef0zlOtnr1aiPJzJ0717Xt0KFDZtKkSSY6OtqEhoaaIUOGmC1bttR735IlS0z//v1NYGCgiYqKMqNHj27SPElJSWbGjBmuPw8YMMBMnjzZ9efq6mqTkJBgHn300QbvXbt2rZFkDh06VG/7Sy+9ZGJiYkx1dbVr27Zt24wks2PHjibNh1rkt3Fnk9867777rnE4HKaystIYY8zSpUuN3W43xcXFrn1efPFFExYWZsrLy5s0H2qR38a5I78nmz59uundu3eTZkJD5Ldx7s5vnd/97ndmyJAhTZoNPyG/jfNUfmfPnm3atWvXpNmMMaZF3TE7evSosrOz9Y9//EOrV6+W3W7XlVde2eBW6u9//3vdc8892rJli7p27aqxY8e6rdEPHTpUvXv31sKFC13brr76au3bt0/Lli3Tpk2b1LdvXw0bNkwHDx6UJH344Ye68sordfnll+urr77S6tWrNWDAgNM+Z01NjUpLSxUZGSlJqqio0KZNm5Samurax263KzU1VRs2bDjt45aXl8vhcMhu/ylWwcHBkqRPP/30tI+DxpHfWucqv0eOHFFYWJj8/f0lSRs2bFCvXr0UGxvr2icjI0NOp1P5+fmnPR8aR35ruSu/cC/yW8uT+T1y5IjrPDg75LeWp/JbVFSkhQsXatCgQac9m0uTq5yXOVVTN8aYH3/80Ugyubm5xpiffmLw17/+1bVPfn6+kWS++eYbt81xzTXXmO7duxtjjFm3bp0JCwszJ06cqLdP586dzUsvvWSMMSYlJcVcf/31ZzzL448/btq0aWNKSkqMMcb861//MpIa/GRkypQpZsCAAQ3ef6o7Znl5ecbf39/MmjXLlJeXm4MHD5oxY8YYSeaRRx4543lbMvLb0Nnm15ja71379u3Ngw8+6Nr229/+1qSnp9fb7+jRo0aSWbp06RnP25KR34bcld+Tccfs3CC/DXkiv8YY89lnnxl/f3+zYsWKM561pSO/Dbk7v9dee60JDg42ksyoUaPM8ePHmzxji7pjtmPHDo0dO1adOnVSWFiYOnToIKn2A/8nS05Odv11fHy8JNX7rNXJbrnlFoWEhLi+zoQxRjabTVLtB2DLysoUFRVV77gFBQXatWuXJGnLli0aNmzYGZ3rzTff1IwZM/Tuu+8qJibmjI5xKj169NBrr72mp556Sq1atVJcXJw6duyo2NjYenfRcGbI77nJr9Pp1IgRI5SUlKSHHnrojI6BpiO/5NebkV/P5TcvL0+ZmZmaPn260tPTz+g8qI/8eia/zzzzjDZv3qz33ntPu3btUnZ2dpPP0aLWQIwaNUrnnXee5s6dq4SEBNXU1Khnz56qqKiot19AQIDrr+sCc6onx8ycOVP33HPPWc31zTffqGPHjpKksrIyxcfH6+OPP26wX0REhKSflgc21dtvv60bb7xR8+fPr3fbNjo6Wn5+fiopKam3f0lJieLi4pp0juuuu07XXXedSkpK1Lp1a9lsNj399NPq1KnTGc2Mn5Dfs89vaWmphg8frtDQUC1atKje9youLq7Bk0jrjtnUfw7QEPl1b37hXuTXM/n9+uuvNWzYMN10002aOnXqGc2KhsivZ/IbFxenuLg4devWTZGRkbr00kv1hz/8wVVyT0eLuY1x4MABbd++XVOnTtWwYcPUvXt3HTp06KyPGxMToy5duri+mmrNmjXKzc3VmDFjJEl9+/ZVcXGx/P396x23S5cuio6OllT7E43Vq1c36TxvvfWWJkyYoLfeeksjRoyo95rD4VC/fv3qHbOmpkarV69WSkpKk69JkmJjYxUSEqJ33nlHQUFBSktLO6PjoBb5Pfv8Op1Opaeny+FwaMmSJQoKCqp3nJSUFOXm5tb76eDKlSsVFhampKSkJs2L+siv+/ML9yG/nslvfn6+hgwZoqysLP3pT39q0ow4NfJrzb9/6wpteXl5k+ZtMXfM2rRpo6ioKL388suKj49XYWGh7r//fo/OUF5eruLiYlVXV6ukpETLly/Xo48+qpEjR+qGG26QJKWmpiolJUWjR4/WrFmz1LVrVxUVFbk+8Ni/f39Nnz5dw4YNU+fOnXXttdeqqqpKS5cu1X333dfoed98801lZWVp9uzZGjhwoIqLiyXV/uQhPDxckpSdna2srCz1799fAwYM0LPPPqujR49qwoQJruMUFxeruLhYO3fulCTl5uYqNDRU7du3d32Q8vnnn9dFF12kkJAQrVy5UlOmTNFjjz3m+mkHzgz5Pbv81v1L9dixY3rjjTfkdDpdv1+kbdu28vPzU3p6upKSkjRu3DjNmjVLxcXFmjp1qiZPnqzAwEB3f3t9Gvl1f34laefOnSorK1NxcbGOHz+uLVu2SJKSkpLkcDjc9r31deTX/fnNy8vT0KFDlZGRoezsbNd5/Pz81LZtW7d+b30d+XV/fpcuXaqSkhL98pe/VEhIiPLz8zVlyhRdfPHFrmWjp63Jn0rzMuPGjTNjxowxxhizcuVK0717dxMYGGiSk5PNxx9/bCSZRYsWGWN++vDjV1995Xr/oUOHjCSzdu3as5ojKyvLSDKSjL+/v2nbtq1JTU01r776ar3HyxtjjNPpNLfddptJSEgwAQEBJjEx0Vx//fWmsLDQtc+CBQtMnz59jMPhMNHR0eaqq6465bkHDRrkOvfJX1lZWfX2e+6550z79u2Nw+EwAwYMMJ9//nm916dPn97ocXJyclz7jBs3zkRGRhqHw2GSk5PN66+/fubfNJBfc27yW/fAmsa+CgoKXPvt3r3bXHbZZSY4ONhER0ebu++++2cfh4ufR349m99TnevkfXD6yK/n8nuq/78477zzzup715KRX8/ld82aNSYlJcWEh4eboKAgc/7555v77ruvwUPyTofNGGNOu8V5oeHDh6tLly78kkJ4JfILb0Z+4c3IL7wZ+fVOPvsZs0OHDumDDz7Qxx9/XO+DfoA3IL/wZuQX3oz8wpuRX+/ms58xmzhxor788kvdfffdyszMtHocoEnIL7wZ+YU3I7/wZuTXu/n8UkYAAAAAaO58dikjAAAAAHgLihkAAAAAWIxiBgAAAAAWo5gBAAAAgMUoZgAAAABgMYoZAAAAAFiMYgYA8HnGGKWmpiojI6PBay+88IIiIiK0Z88eCyYDAKAWxQwA4PNsNptycnK0ceNGvfTSS67tBQUFuvfee/Xcc8+pXbt25/SclZWV5/R4AADfRjEDALQIiYmJmj17tu655x4VFBTIGKNJkyYpPT1dF154oS677DKFhIQoNjZW48aN0/79+13vXb58uS655BJFREQoKipKI0eO1K5du1yv7969WzabTe+8844GDRqkoKAg/e1vf7PiMgEAXspmjDFWDwEAgKeMHj1aR44c0VVXXaU//vGPys/PV48ePXTjjTfqhhtu0PHjx3XfffepqqpKa9askSQtWLBANptNycnJKisr07Rp07R7925t2bJFdrtdu3fvVseOHdWhQwc99dRTuvDCCxUUFKT4+HiLrxYA4C0oZgCAFmXfvn3q0aOHDh48qAULFigvL0/r1q3TihUrXPvs2bNHiYmJ2r59u7p27drgGPv371fbtm2Vm5urnj17uorZs88+qzvuuMOTlwMA8BEsZQQAtCgxMTG6+eab1b17d40ePVpbt27V2rVrFRIS4vrq1q2bJLmWK+7YsUNjx45Vp06dFBYWpg4dOkiSCgsL6x27f//+Hr0WAIDv8Ld6AAAAPM3f31/+/rX/CSwrK9OoUaP0+OOPN9ivbiniqFGjdN5552nu3LlKSEhQTU2NevbsqYqKinr7t27d2v3DAwB8EsUMANCi9e3bVwsWLFCHDh1cZe1kBw4c0Pbt2zV37lxdeumlkqRPP/3U02MCAHwcSxkBAC3a5MmTdfDgQY0dO1Zffvmldu3apRUrVmjChAmqrq5WmzZtFBUVpZdfflk7d+7UmjVrlJ2dbfXYAAAfQzEDALRoCQkJ+uyzz1RdXa309HT16tVLd955pyIiImS322W32/X2229r06ZN6tmzp+666y498cQTVo8NAPAxPJURAAAAACzGHTMAAAAAsBjFDAAAAAAsRjEDAAAAAItRzAAAAADAYhQzAAAAALAYxQwAAAAALEYxAwAAAACLUcwAAAAAwGIUMwAAAACwGMUMAAAAACxGMQMAAAAAi/1/fWj6GdOddOEAAAAASUVORK5CYII=\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Example of coding for positive themes\n",
        "positive_feedback = [\n",
        "    {\"theme\": \"effective intervention\", \"text\": \"The timely intervention by the social worker prevented further harm.\"},\n",
        "    {\"theme\": \"dedication\", \"text\": \"Our social workers go above and beyond to ensure the safety of the children.\"},\n",
        "    # More feedback entries\n",
        "]\n",
        "\n",
        "# Convert to DataFrame and visualize\n",
        "feedback_data = pd.DataFrame(positive_feedback)\n",
        "theme_counts = feedback_data['theme'].value_counts()\n",
        "\n",
        "# Plotting\n",
        "theme_counts.plot(kind='bar', color='green')\n",
        "plt.title('Interviews feedback')\n",
        "plt.xlabel('Themes')\n",
        "plt.ylabel('Frequency')\n",
        "plt.xticks(rotation=45)\n",
        "plt.show()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 573
        },
        "id": "FDadFm1knfTj",
        "outputId": "a9ce3350-868a-4738-f4f5-a6e9cee3bde7"
      },
      "execution_count": 14,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "from wordcloud import WordCloud\n",
        "\n",
        "# Combine all remarks into a single string\n",
        "remarks_text = \" \".join(remark for remark in data['Remarks'].dropna())\n",
        "\n",
        "# Generate a word cloud\n",
        "wordcloud = WordCloud(width=800, height=400, background_color='white').generate(remarks_text)\n",
        "\n",
        "# Display the word cloud\n",
        "plt.figure(figsize=(10, 5))\n",
        "plt.imshow(wordcloud, interpolation='bilinear')\n",
        "plt.axis('off')\n",
        "plt.show()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 422
        },
        "id": "p5xGLe-Nn4HZ",
        "outputId": "160dfdb1-a9c6-4006-cfd9-49a64d3bcaf8"
      },
      "execution_count": 15,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x500 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import statsmodels.api as sm\n",
        "\n",
        "# Check data types first\n",
        "print(data[['AGE(11-14)', 'Number Of Children']].dtypes)\n",
        "\n",
        "# If the data types are not floats or ints, convert them\n",
        "data['AGE(11-14)'] = pd.to_numeric(data['AGE(11-14)'], errors='coerce')\n",
        "data['Number Of Children'] = pd.to_numeric(data['Number Of Children'], errors='coerce')\n",
        "\n",
        "# Now, run the regression analysis\n",
        "X = sm.add_constant(data['AGE(11-14)'])  # adding a constant\n",
        "model = sm.OLS(data['Number Of Children'], X, missing='drop').fit()  # handle any NaNs by dropping them\n",
        "model_summary = model.summary()\n",
        "model_summary\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 558
        },
        "id": "_jP0fCempDb2",
        "outputId": "5e4a4971-3fa4-4c21-c55f-8a0f7a86fe8f"
      },
      "execution_count": 17,
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "AGE(11-14)              int64\n",
            "Number Of Children    float64\n",
            "dtype: object\n"
          ]
        },
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "/usr/local/lib/python3.10/dist-packages/scipy/stats/_stats_py.py:1806: UserWarning: kurtosistest only valid for n>=20 ... continuing anyway, n=10\n",
            "  warnings.warn(\"kurtosistest only valid for n>=20 ... continuing \"\n"
          ]
        },
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "<class 'statsmodels.iolib.summary.Summary'>\n",
              "\"\"\"\n",
              "                            OLS Regression Results                            \n",
              "==============================================================================\n",
              "Dep. Variable:     Number Of Children   R-squared:                       0.811\n",
              "Model:                            OLS   Adj. R-squared:                  0.787\n",
              "Method:                 Least Squares   F-statistic:                     34.31\n",
              "Date:                Sat, 11 May 2024   Prob (F-statistic):           0.000380\n",
              "Time:                        03:13:36   Log-Likelihood:                -32.464\n",
              "No. Observations:                  10   AIC:                             68.93\n",
              "Df Residuals:                       8   BIC:                             69.53\n",
              "Df Model:                           1                                         \n",
              "Covariance Type:            nonrobust                                         \n",
              "==============================================================================\n",
              "                 coef    std err          t      P>|t|      [0.025      0.975]\n",
              "------------------------------------------------------------------------------\n",
              "const         11.6853      4.121      2.836      0.022       2.183      21.188\n",
              "AGE(11-14)     1.0578      0.181      5.857      0.000       0.641       1.474\n",
              "==============================================================================\n",
              "Omnibus:                        2.026   Durbin-Watson:                   1.847\n",
              "Prob(Omnibus):                  0.363   Jarque-Bera (JB):                1.001\n",
              "Skew:                           0.396   Prob(JB):                        0.606\n",
              "Kurtosis:                       1.668   Cond. No.                         42.8\n",
              "==============================================================================\n",
              "\n",
              "Notes:\n",
              "[1] Standard Errors assume that the covariance matrix of the errors is correctly specified.\n",
              "\"\"\""
            ],
            "text/html": [
              "<table class=\"simpletable\">\n",
              "<caption>OLS Regression Results</caption>\n",
              "<tr>\n",
              "  <th>Dep. Variable:</th>    <td>Number Of Children</td> <th>  R-squared:         </th> <td>   0.811</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Model:</th>                    <td>OLS</td>        <th>  Adj. R-squared:    </th> <td>   0.787</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Method:</th>              <td>Least Squares</td>   <th>  F-statistic:       </th> <td>   34.31</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Date:</th>              <td>Sat, 11 May 2024</td>  <th>  Prob (F-statistic):</th> <td>0.000380</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Time:</th>                  <td>03:13:36</td>      <th>  Log-Likelihood:    </th> <td> -32.464</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>No. Observations:</th>       <td>    10</td>       <th>  AIC:               </th> <td>   68.93</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Df Residuals:</th>           <td>     8</td>       <th>  BIC:               </th> <td>   69.53</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Df Model:</th>               <td>     1</td>       <th>                     </th>     <td> </td>   \n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Covariance Type:</th>       <td>nonrobust</td>     <th>                     </th>     <td> </td>   \n",
              "</tr>\n",
              "</table>\n",
              "<table class=\"simpletable\">\n",
              "<tr>\n",
              "       <td></td>         <th>coef</th>     <th>std err</th>      <th>t</th>      <th>P>|t|</th>  <th>[0.025</th>    <th>0.975]</th>  \n",
              "</tr>\n",
              "<tr>\n",
              "  <th>const</th>      <td>   11.6853</td> <td>    4.121</td> <td>    2.836</td> <td> 0.022</td> <td>    2.183</td> <td>   21.188</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>AGE(11-14)</th> <td>    1.0578</td> <td>    0.181</td> <td>    5.857</td> <td> 0.000</td> <td>    0.641</td> <td>    1.474</td>\n",
              "</tr>\n",
              "</table>\n",
              "<table class=\"simpletable\">\n",
              "<tr>\n",
              "  <th>Omnibus:</th>       <td> 2.026</td> <th>  Durbin-Watson:     </th> <td>   1.847</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Prob(Omnibus):</th> <td> 0.363</td> <th>  Jarque-Bera (JB):  </th> <td>   1.001</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Skew:</th>          <td> 0.396</td> <th>  Prob(JB):          </th> <td>   0.606</td>\n",
              "</tr>\n",
              "<tr>\n",
              "  <th>Kurtosis:</th>      <td> 1.668</td> <th>  Cond. No.          </th> <td>    42.8</td>\n",
              "</tr>\n",
              "</table><br/><br/>Notes:<br/>[1] Standard Errors assume that the covariance matrix of the errors is correctly specified."
            ],
            "text/latex": "\\begin{center}\n\\begin{tabular}{lclc}\n\\toprule\n\\textbf{Dep. Variable:}    & Number Of Children & \\textbf{  R-squared:         } &     0.811   \\\\\n\\textbf{Model:}            &        OLS         & \\textbf{  Adj. R-squared:    } &     0.787   \\\\\n\\textbf{Method:}           &   Least Squares    & \\textbf{  F-statistic:       } &     34.31   \\\\\n\\textbf{Date:}             &  Sat, 11 May 2024  & \\textbf{  Prob (F-statistic):} &  0.000380   \\\\\n\\textbf{Time:}             &      03:13:36      & \\textbf{  Log-Likelihood:    } &   -32.464   \\\\\n\\textbf{No. Observations:} &           10       & \\textbf{  AIC:               } &     68.93   \\\\\n\\textbf{Df Residuals:}     &            8       & \\textbf{  BIC:               } &     69.53   \\\\\n\\textbf{Df Model:}         &            1       & \\textbf{                     } &             \\\\\n\\textbf{Covariance Type:}  &     nonrobust      & \\textbf{                     } &             \\\\\n\\bottomrule\n\\end{tabular}\n\\begin{tabular}{lcccccc}\n                    & \\textbf{coef} & \\textbf{std err} & \\textbf{t} & \\textbf{P$> |$t$|$} & \\textbf{[0.025} & \\textbf{0.975]}  \\\\\n\\midrule\n\\textbf{const}      &      11.6853  &        4.121     &     2.836  &         0.022        &        2.183    &       21.188     \\\\\n\\textbf{AGE(11-14)} &       1.0578  &        0.181     &     5.857  &         0.000        &        0.641    &        1.474     \\\\\n\\bottomrule\n\\end{tabular}\n\\begin{tabular}{lclc}\n\\textbf{Omnibus:}       &  2.026 & \\textbf{  Durbin-Watson:     } &    1.847  \\\\\n\\textbf{Prob(Omnibus):} &  0.363 & \\textbf{  Jarque-Bera (JB):  } &    1.001  \\\\\n\\textbf{Skew:}          &  0.396 & \\textbf{  Prob(JB):          } &    0.606  \\\\\n\\textbf{Kurtosis:}      &  1.668 & \\textbf{  Cond. No.          } &     42.8  \\\\\n\\bottomrule\n\\end{tabular}\n%\\caption{OLS Regression Results}\n\\end{center}\n\nNotes: \\newline\n [1] Standard Errors assume that the covariance matrix of the errors is correctly specified."
          },
          "metadata": {},
          "execution_count": 17
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Exclude the 'Year' column and recalculate the correlation matrix\n",
        "numeric_data = data.select_dtypes(include=[np.number])  # Select only numeric columns\n",
        "correlation_matrix = numeric_data.corr()\n",
        "\n",
        "# Focus on the 'Number Of Children' correlations\n",
        "correlations = correlation_matrix['Number Of Children'].drop('Number Of Children')  # drop self-correlation\n",
        "\n",
        "# Plotting the lollipop chart for correlations with 'Number Of Children'\n",
        "plt.figure(figsize=(10, 4))\n",
        "plt.stem(correlations.index, correlations.values, basefmt=\" \")\n",
        "plt.title('Correlation with Number Of Children')\n",
        "plt.xlabel('Variables')\n",
        "plt.ylabel('Correlation Coefficient')\n",
        "plt.xticks(rotation=45)\n",
        "plt.grid(True, axis='y')\n",
        "plt.show()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 626
        },
        "id": "JyJkFmCypUlF",
        "outputId": "e91b2d77-51cd-49e0-a900-be08f2c58313"
      },
      "execution_count": 19,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x400 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Plotting the lollipop chart for correlations with 'Number Of Children' horizontally for better presentation\n",
        "plt.figure(figsize=(10, 4))\n",
        "plt.stem(correlations.values, correlations.index, orientation='horizontal', basefmt=\" \", linefmt='grey', markerfmt='o')\n",
        "plt.title('Correlation with Number Of Children')\n",
        "plt.ylabel('Variables')\n",
        "plt.xlabel('Correlation Coefficient')\n",
        "plt.grid(True, axis='x')\n",
        "plt.show()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 371
        },
        "id": "DGhhpqtSpzTJ",
        "outputId": "2665528e-baac-4f1c-ca26-7d0a7ba0785a"
      },
      "execution_count": 20,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x400 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Example: Assuming 'State_belong_to' contains state data and 'Other' indicates outsiders\n",
        "data['Is_Outsider'] = data['State_belong_to'].apply(lambda x: 'Other' in x)\n",
        "outsider_rate = data.groupby('Year')['Is_Outsider'].mean() * 100\n",
        "\n",
        "plt.figure(figsize=(20, 10))\n",
        "sns.lineplot(x=outsider_rate.index, y=outsider_rate.values)\n",
        "plt.title('Yearly Trend of Outsider Proportion')\n",
        "plt.ylabel('Percentage of Outsiders')\n",
        "plt.xlabel('Year')\n",
        "plt.show()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 468
        },
        "id": "B7DRLQFdrZ9p",
        "outputId": "13b74dd1-12a1-4e5e-d07a-22b5ff0cf6fa"
      },
      "execution_count": 23,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 2000x1000 with 1 Axes>"
            ],
            "image/png": 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          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import pandas as pd\n",
        "\n",
        "# Load the data from the Excel file\n",
        "file_path = '/content/df.xlsx'\n",
        "df= pd.read_excel(file_path)\n",
        "\n",
        "# Display the first few rows of the dataset to understand its structure and content\n",
        "df.head()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 206
        },
        "id": "oKjeQW_uuwel",
        "outputId": "d400cf40-0ff3-4d30-f6c7-5b627d01355a"
      },
      "execution_count": 32,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "             Year  Percentage of Outsiders\n",
              "0  Jan - Dec 2014                      0.0\n",
              "1  Jan - Dec 2015                      0.2\n",
              "2  Jan - Dec 2016                      1.0\n",
              "3  Jan - Dec 2017                      0.0\n",
              "4  Jan - Dec 2018                      0.8"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-9d23fcaf-b9b6-4bbd-9199-16b213976a66\" class=\"colab-df-container\">\n",
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              "        vertical-align: middle;\n",
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              "\n",
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              "    }\n",
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              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Year</th>\n",
              "      <th>Percentage of Outsiders</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Jan - Dec 2014</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Jan - Dec 2015</td>\n",
              "      <td>0.2</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Jan - Dec 2016</td>\n",
              "      <td>1.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Jan - Dec 2017</td>\n",
              "      <td>0.0</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Jan - Dec 2018</td>\n",
              "      <td>0.8</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "    <div class=\"colab-df-buttons\">\n",
              "\n",
              "  <div class=\"colab-df-container\">\n",
              "    <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-9d23fcaf-b9b6-4bbd-9199-16b213976a66')\"\n",
              "            title=\"Convert this dataframe to an interactive table.\"\n",
              "            style=\"display:none;\">\n",
              "\n",
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              "  </svg>\n",
              "    </button>\n",
              "\n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert:hover {\n",
              "      background-color: #E2EBFA;\n",
              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
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              "\n",
              "    .colab-df-buttons div {\n",
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              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
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              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
              "      filter: drop-shadow(0px 1px 2px rgba(0, 0, 0, 0.3));\n",
              "      fill: #FFFFFF;\n",
              "    }\n",
              "  </style>\n",
              "\n",
              "    <script>\n",
              "      const buttonEl =\n",
              "        document.querySelector('#df-9d23fcaf-b9b6-4bbd-9199-16b213976a66 button.colab-df-convert');\n",
              "      buttonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "      async function convertToInteractive(key) {\n",
              "        const element = document.querySelector('#df-9d23fcaf-b9b6-4bbd-9199-16b213976a66');\n",
              "        const dataTable =\n",
              "          await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                    [key], {});\n",
              "        if (!dataTable) return;\n",
              "\n",
              "        const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "          '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "          + ' to learn more about interactive tables.';\n",
              "        element.innerHTML = '';\n",
              "        dataTable['output_type'] = 'display_data';\n",
              "        await google.colab.output.renderOutput(dataTable, element);\n",
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              "        docLink.innerHTML = docLinkHtml;\n",
              "        element.appendChild(docLink);\n",
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              "\n",
              "<div id=\"df-a7772d80-83d9-4a88-8573-ee7f4aa5721d\">\n",
              "  <button class=\"colab-df-quickchart\" onclick=\"quickchart('df-a7772d80-83d9-4a88-8573-ee7f4aa5721d')\"\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-a7772d80-83d9-4a88-8573-ee7f4aa5721d button');\n",
              "      quickchartButtonEl.style.display =\n",
              "        google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "    })();\n",
              "  </script>\n",
              "</div>\n",
              "\n",
              "    </div>\n",
              "  </div>\n"
            ],
            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "df",
              "summary": "{\n  \"name\": \"df\",\n  \"rows\": 10,\n  \"fields\": [\n    {\n      \"column\": \"Year\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 10,\n        \"samples\": [\n          \"Jan - Dec 2022\",\n          \"Jan - Dec 2015\",\n          \"Jan - Dec 2019\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Percentage of Outsiders\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 0.40879225911349043,\n        \"min\": 0.0,\n        \"max\": 1.0,\n        \"num_unique_values\": 4,\n        \"samples\": [\n          0.2,\n          0.8,\n          0.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 32
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Create a numerical representation for the years to avoid issues with date strings\n",
        "df['Year_Index'] = range(len(df['Year']))\n",
        "\n",
        "# Creating the plot with numerical x-axis\n",
        "plt.figure(figsize=(12, 6))\n",
        "plt.plot(df['Year_Index'], df['Percentage of Outsiders'], marker='o', linestyle='-', color='b')\n",
        "plt.fill_between(df['Year_Index'], df['Percentage of Outsiders'], color=\"skyblue\", alpha=0.4)\n",
        "\n",
        "# Beautify the plot\n",
        "plt.title('Yearly Trend of Outsider Proportion', fontsize=14, fontweight='bold')\n",
        "plt.xlabel('Year', fontsize=12)\n",
        "plt.ylabel('Percentage of Outsiders', fontsize=12)\n",
        "plt.xticks(df['Year_Index'], df['Year'], rotation=45)\n",
        "plt.grid(True, linestyle='--', which='both', alpha=0.5)\n",
        "plt.tight_layout()\n",
        "plt.show()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 442
        },
        "id": "v5ksGZuRu3fs",
        "outputId": "f3afd90b-0260-4394-c230-7d2d097777e4"
      },
      "execution_count": 33,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1200x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    }
  ]
}