{
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  "nbformat_minor": 0,
  "metadata": {
    "colab": {
      "provenance": [],
      "toc_visible": true
    },
    "kernelspec": {
      "name": "python3",
      "display_name": "Python 3"
    },
    "language_info": {
      "name": "python"
    }
  },
  "cells": [
    {
      "cell_type": "markdown",
      "source": [
        "# Data Preperation"
      ],
      "metadata": {
        "id": "_CXnm2nlWgW3"
      }
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "KND4MAzhVUX5",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "63861073-3709-4bcd-95da-54de3fd0fa06"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Drive already mounted at /content/drive; to attempt to forcibly remount, call drive.mount(\"/content/drive\", force_remount=True).\n"
          ]
        }
      ],
      "source": [
        "from google.colab import drive\n",
        "drive.mount('/content/drive')"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import pandas as pd\n",
        "\n",
        "# Load the data from the CSV files\n",
        "campaigns = pd.read_csv('/content/drive/MyDrive/Data - AtliqMart/dim_campaigns.csv')\n",
        "products = pd.read_csv('/content/drive/MyDrive/Data - AtliqMart/dim_products.csv')\n",
        "stores = pd.read_csv('/content/drive/MyDrive/Data - AtliqMart/dim_stores.csv')\n",
        "fact_events = pd.read_csv('/content/drive/MyDrive/Data - AtliqMart/fact_events.csv')\n",
        "\n",
        "# Display the first few rows of each dataframe\n",
        "(campaigns.head(), products.head(), stores.head(), fact_events.head())"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "v858zbqtW40F",
        "outputId": "f6cc8041-d2e9-410e-c899-62d0fa1f022a"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(   campaign_id campaign_name  start_date    end_date\n",
              " 0  CAMP_DIW_01        Diwali  12-11-2023  18-11-2023\n",
              " 1  CAMP_SAN_01     Sankranti  10-01-2024  16-01-2024,\n",
              "   product_code                     product_name           category\n",
              " 0          P01           Atliq_Masoor_Dal (1KG)  Grocery & Staples\n",
              " 1          P02     Atliq_Sonamasuri_Rice (10KG)  Grocery & Staples\n",
              " 2          P03          Atliq_Suflower_Oil (1L)  Grocery & Staples\n",
              " 3          P04     Atliq_Farm_Chakki_Atta (1KG)  Grocery & Staples\n",
              " 4          P05  Atliq_Scrub_Sponge_For_Dishwash          Home Care,\n",
              "   store_id           city\n",
              " 0  STTRV-0     Trivandrum\n",
              " 1  STMDU-3        Madurai\n",
              " 2  STHYD-6      Hyderabad\n",
              " 3  STVSK-1  Visakhapatnam\n",
              " 4  STCBE-3     Coimbatore,\n",
              "   event_id store_id  campaign_id product_code  base_price    promo_type  \\\n",
              " 0   7f650b  STCBE-2  CAMP_SAN_01          P11         190       50% OFF   \n",
              " 1   a21f91  STBLR-8  CAMP_DIW_01          P03         156       25% OFF   \n",
              " 2   78bc80  STVJD-0  CAMP_SAN_01          P07         300         BOGOF   \n",
              " 3   a1503f  STCBE-1  CAMP_DIW_01          P15        3000  500 Cashback   \n",
              " 4   1091cf  STBLR-6  CAMP_DIW_01          P05          55       25% OFF   \n",
              " \n",
              "    quantity_sold(before_promo)  quantity_sold(after_promo)  \n",
              " 0                           34                          52  \n",
              " 1                          393                         322  \n",
              " 2                           22                          85  \n",
              " 3                          329                        1000  \n",
              " 4                          108                          93  )"
            ]
          },
          "metadata": {},
          "execution_count": 4
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Join the tables on their respective keys\n",
        "data = (\n",
        "    fact_events.merge(campaigns, how=\"left\", on=\"campaign_id\")\n",
        "              .merge(products, how=\"left\", on=\"product_code\")\n",
        "              .merge(stores, how=\"left\", on=\"store_id\")\n",
        ")\n",
        "\n",
        "# Display the first few rows of the merged DataFrame\n",
        "pd.set_option('display.max_columns', None)\n",
        "data.head()"
      ],
      "metadata": {
        "id": "de6o6wX4XKyu",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 313
        },
        "outputId": "fccbd516-5b2a-42bc-8f85-565d9a816076"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "  event_id store_id  campaign_id product_code  base_price    promo_type  \\\n",
              "0   7f650b  STCBE-2  CAMP_SAN_01          P11         190       50% OFF   \n",
              "1   a21f91  STBLR-8  CAMP_DIW_01          P03         156       25% OFF   \n",
              "2   78bc80  STVJD-0  CAMP_SAN_01          P07         300         BOGOF   \n",
              "3   a1503f  STCBE-1  CAMP_DIW_01          P15        3000  500 Cashback   \n",
              "4   1091cf  STBLR-6  CAMP_DIW_01          P05          55       25% OFF   \n",
              "\n",
              "   quantity_sold(before_promo)  quantity_sold(after_promo) campaign_name  \\\n",
              "0                           34                          52     Sankranti   \n",
              "1                          393                         322        Diwali   \n",
              "2                           22                          85     Sankranti   \n",
              "3                          329                        1000        Diwali   \n",
              "4                          108                          93        Diwali   \n",
              "\n",
              "   start_date    end_date                           product_name  \\\n",
              "0  10-01-2024  16-01-2024  Atliq_Doodh_Kesar_Body_Lotion (200ML)   \n",
              "1  12-11-2023  18-11-2023                Atliq_Suflower_Oil (1L)   \n",
              "2  10-01-2024  16-01-2024                         Atliq_Curtains   \n",
              "3  12-11-2023  18-11-2023   Atliq_Home_Essential_8_Product_Combo   \n",
              "4  12-11-2023  18-11-2023        Atliq_Scrub_Sponge_For_Dishwash   \n",
              "\n",
              "            category        city  \n",
              "0      Personal Care  Coimbatore  \n",
              "1  Grocery & Staples   Bengaluru  \n",
              "2          Home Care  Vijayawada  \n",
              "3             Combo1  Coimbatore  \n",
              "4          Home Care   Bengaluru  "
            ],
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              "\n",
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              "      <th>event_id</th>\n",
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              "      <th>0</th>\n",
              "      <td>7f650b</td>\n",
              "      <td>STCBE-2</td>\n",
              "      <td>CAMP_SAN_01</td>\n",
              "      <td>P11</td>\n",
              "      <td>190</td>\n",
              "      <td>50% OFF</td>\n",
              "      <td>34</td>\n",
              "      <td>52</td>\n",
              "      <td>Sankranti</td>\n",
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              "      <td>P03</td>\n",
              "      <td>156</td>\n",
              "      <td>25% OFF</td>\n",
              "      <td>393</td>\n",
              "      <td>322</td>\n",
              "      <td>Diwali</td>\n",
              "      <td>12-11-2023</td>\n",
              "      <td>18-11-2023</td>\n",
              "      <td>Atliq_Suflower_Oil (1L)</td>\n",
              "      <td>Grocery &amp; Staples</td>\n",
              "      <td>Bengaluru</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>78bc80</td>\n",
              "      <td>STVJD-0</td>\n",
              "      <td>CAMP_SAN_01</td>\n",
              "      <td>P07</td>\n",
              "      <td>300</td>\n",
              "      <td>BOGOF</td>\n",
              "      <td>22</td>\n",
              "      <td>85</td>\n",
              "      <td>Sankranti</td>\n",
              "      <td>10-01-2024</td>\n",
              "      <td>16-01-2024</td>\n",
              "      <td>Atliq_Curtains</td>\n",
              "      <td>Home Care</td>\n",
              "      <td>Vijayawada</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>a1503f</td>\n",
              "      <td>STCBE-1</td>\n",
              "      <td>CAMP_DIW_01</td>\n",
              "      <td>P15</td>\n",
              "      <td>3000</td>\n",
              "      <td>500 Cashback</td>\n",
              "      <td>329</td>\n",
              "      <td>1000</td>\n",
              "      <td>Diwali</td>\n",
              "      <td>12-11-2023</td>\n",
              "      <td>18-11-2023</td>\n",
              "      <td>Atliq_Home_Essential_8_Product_Combo</td>\n",
              "      <td>Combo1</td>\n",
              "      <td>Coimbatore</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>1091cf</td>\n",
              "      <td>STBLR-6</td>\n",
              "      <td>CAMP_DIW_01</td>\n",
              "      <td>P05</td>\n",
              "      <td>55</td>\n",
              "      <td>25% OFF</td>\n",
              "      <td>108</td>\n",
              "      <td>93</td>\n",
              "      <td>Diwali</td>\n",
              "      <td>12-11-2023</td>\n",
              "      <td>18-11-2023</td>\n",
              "      <td>Atliq_Scrub_Sponge_For_Dishwash</td>\n",
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              "summary": "{\n  \"name\": \"data\",\n  \"rows\": 1500,\n  \"fields\": [\n    {\n      \"column\": \"event_id\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 1500,\n        \"samples\": [\n          \"4ad12b\",\n          \"d622c3\",\n          \"f6aa36\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"store_id\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 50,\n        \"samples\": [\n          \"STBLR-3\",\n          \"STBLR-1\",\n          \"STMYS-3\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"campaign_id\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          \"CAMP_DIW_01\",\n          \"CAMP_SAN_01\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"product_code\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 15,\n        \"samples\": [\n          \"P12\",\n          \"P02\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"base_price\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 741,\n        \"min\": 50,\n        \"max\": 3000,\n        \"num_unique_values\": 19,\n        \"samples\": [\n          190,\n          50\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"promo_type\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 5,\n        \"samples\": [\n          \"25% OFF\",\n          \"33% OFF\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"quantity_sold(before_promo)\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 131,\n        \"min\": 10,\n        \"max\": 642,\n        \"num_unique_values\": 334,\n        \"samples\": [\n          85,\n          278\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"quantity_sold(after_promo)\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 363,\n        \"min\": 9,\n        \"max\": 2067,\n        \"num_unique_values\": 598,\n        \"samples\": [\n          100,\n          1015\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"campaign_name\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          \"Diwali\",\n          \"Sankranti\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"start_date\",\n      \"properties\": {\n        \"dtype\": \"object\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          \"12-11-2023\",\n          \"10-01-2024\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"end_date\",\n      \"properties\": {\n        \"dtype\": \"object\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          \"18-11-2023\",\n          \"16-01-2024\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"product_name\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 15,\n        \"samples\": [\n          \"Atliq_Lime_Cool_Bathing_Bar (125GM)\",\n          \"Atliq_Sonamasuri_Rice (10KG)\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"category\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 5,\n        \"samples\": [\n          \"Grocery & Staples\",\n          \"Home Appliances\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"city\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 10,\n        \"samples\": [\n          \"Trivandrum\",\n          \"Bengaluru\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 5
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "data['category'].value_counts()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "t0jGWiHj5lRu",
        "outputId": "5b8a4b8a-f0cb-48aa-c060-a03fd30b0136"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "category\n",
              "Personal Care        400\n",
              "Grocery & Staples    400\n",
              "Home Care            400\n",
              "Home Appliances      200\n",
              "Combo1               100\n",
              "Name: count, dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 37
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# Primary Insights"
      ],
      "metadata": {
        "id": "nyesNHzPDl3G"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Store Performance"
      ],
      "metadata": {
        "id": "mREOKwhtKLYh"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "Before we begin, we need additional columns (i.e., revenue before, revenue after, amount sold, and total discount) to assist us in constructing the graph. So, let's start by calculating them."
      ],
      "metadata": {
        "id": "9mzW4nR7RzAN"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import pandas as pd\n",
        "\n",
        "# a. Revenue Before --> To understand baseline performance.\n",
        "data['revenue_before'] = data['base_price'] * data['quantity_sold(before_promo)']\n",
        "\n",
        "# b. Quantity Sold --> Adjusts the quantity sold based on promotion type (e.g., doubling for BOGOF) to reflect actual sales impact.\n",
        "data['quantity_sold'] = data.apply(\n",
        "    lambda row: row['quantity_sold(after_promo)'] * 2 if row['promo_type'] == 'BOGOF' else row['quantity_sold(after_promo)'],\n",
        "    axis=1\n",
        ")\n",
        "\n",
        "# c. Total Discount --> Computes the total discount amount applied to each sale to analyze the financial impact of promotions.\n",
        "def calculate_discount(row):\n",
        "    discount_rate = 0\n",
        "    if row['promo_type'] == '25% OFF':\n",
        "        discount_rate = 0.25\n",
        "    elif row['promo_type'] == '50% OFF':\n",
        "        discount_rate = 0.50\n",
        "    elif row['promo_type'] == '33% OFF':\n",
        "        discount_rate = 0.33\n",
        "    elif row['promo_type'] == 'BOGOF':\n",
        "        discount_rate = 0.50\n",
        "    elif row['promo_type'] == '500 Cashback':\n",
        "        return 500 * row['quantity_sold']\n",
        "    return discount_rate * row['base_price'] * row['quantity_sold']\n",
        "\n",
        "data['total_discount'] = data.apply(calculate_discount, axis=1)\n",
        "\n",
        "# d. Actual Revenue --> Determines the actual revenue after accounting for discounts, providing a true measure of revenue.\n",
        "data['actual_revenue'] = (data['base_price'] * data['quantity_sold']) - data['total_discount']\n",
        "\n",
        "# Display the DataFrame with new calculated columns\n",
        "pd.set_option('display.max_columns', None)\n",
        "data.head()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 313
        },
        "id": "TJ6kaiSGMxMw",
        "outputId": "c4ba38ce-7fde-487b-e694-8658b529f03e"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "  event_id store_id  campaign_id product_code  base_price    promo_type  \\\n",
              "0   7f650b  STCBE-2  CAMP_SAN_01          P11         190       50% OFF   \n",
              "1   a21f91  STBLR-8  CAMP_DIW_01          P03         156       25% OFF   \n",
              "2   78bc80  STVJD-0  CAMP_SAN_01          P07         300         BOGOF   \n",
              "3   a1503f  STCBE-1  CAMP_DIW_01          P15        3000  500 Cashback   \n",
              "4   1091cf  STBLR-6  CAMP_DIW_01          P05          55       25% OFF   \n",
              "\n",
              "   quantity_sold(before_promo)  quantity_sold(after_promo) campaign_name  \\\n",
              "0                           34                          52     Sankranti   \n",
              "1                          393                         322        Diwali   \n",
              "2                           22                          85     Sankranti   \n",
              "3                          329                        1000        Diwali   \n",
              "4                          108                          93        Diwali   \n",
              "\n",
              "   start_date    end_date                           product_name  \\\n",
              "0  10-01-2024  16-01-2024  Atliq_Doodh_Kesar_Body_Lotion (200ML)   \n",
              "1  12-11-2023  18-11-2023                Atliq_Suflower_Oil (1L)   \n",
              "2  10-01-2024  16-01-2024                         Atliq_Curtains   \n",
              "3  12-11-2023  18-11-2023   Atliq_Home_Essential_8_Product_Combo   \n",
              "4  12-11-2023  18-11-2023        Atliq_Scrub_Sponge_For_Dishwash   \n",
              "\n",
              "            category        city  revenue_before  quantity_sold  \\\n",
              "0      Personal Care  Coimbatore            6460             52   \n",
              "1  Grocery & Staples   Bengaluru           61308            322   \n",
              "2          Home Care  Vijayawada            6600            170   \n",
              "3             Combo1  Coimbatore          987000           1000   \n",
              "4          Home Care   Bengaluru            5940             93   \n",
              "\n",
              "   total_discount  actual_revenue  \n",
              "0         4940.00         4940.00  \n",
              "1        12558.00        37674.00  \n",
              "2        25500.00        25500.00  \n",
              "3       500000.00      2500000.00  \n",
              "4         1278.75         3836.25  "
            ],
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              "\n",
              "  <div id=\"df-87a82bf7-1a0b-4e7c-a800-b60cad5714cb\" class=\"colab-df-container\">\n",
              "    <div>\n",
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              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>event_id</th>\n",
              "      <th>store_id</th>\n",
              "      <th>campaign_id</th>\n",
              "      <th>product_code</th>\n",
              "      <th>base_price</th>\n",
              "      <th>promo_type</th>\n",
              "      <th>quantity_sold(before_promo)</th>\n",
              "      <th>quantity_sold(after_promo)</th>\n",
              "      <th>campaign_name</th>\n",
              "      <th>start_date</th>\n",
              "      <th>end_date</th>\n",
              "      <th>product_name</th>\n",
              "      <th>category</th>\n",
              "      <th>city</th>\n",
              "      <th>revenue_before</th>\n",
              "      <th>quantity_sold</th>\n",
              "      <th>total_discount</th>\n",
              "      <th>actual_revenue</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>7f650b</td>\n",
              "      <td>STCBE-2</td>\n",
              "      <td>CAMP_SAN_01</td>\n",
              "      <td>P11</td>\n",
              "      <td>190</td>\n",
              "      <td>50% OFF</td>\n",
              "      <td>34</td>\n",
              "      <td>52</td>\n",
              "      <td>Sankranti</td>\n",
              "      <td>10-01-2024</td>\n",
              "      <td>16-01-2024</td>\n",
              "      <td>Atliq_Doodh_Kesar_Body_Lotion (200ML)</td>\n",
              "      <td>Personal Care</td>\n",
              "      <td>Coimbatore</td>\n",
              "      <td>6460</td>\n",
              "      <td>52</td>\n",
              "      <td>4940.00</td>\n",
              "      <td>4940.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>a21f91</td>\n",
              "      <td>STBLR-8</td>\n",
              "      <td>CAMP_DIW_01</td>\n",
              "      <td>P03</td>\n",
              "      <td>156</td>\n",
              "      <td>25% OFF</td>\n",
              "      <td>393</td>\n",
              "      <td>322</td>\n",
              "      <td>Diwali</td>\n",
              "      <td>12-11-2023</td>\n",
              "      <td>18-11-2023</td>\n",
              "      <td>Atliq_Suflower_Oil (1L)</td>\n",
              "      <td>Grocery &amp; Staples</td>\n",
              "      <td>Bengaluru</td>\n",
              "      <td>61308</td>\n",
              "      <td>322</td>\n",
              "      <td>12558.00</td>\n",
              "      <td>37674.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>78bc80</td>\n",
              "      <td>STVJD-0</td>\n",
              "      <td>CAMP_SAN_01</td>\n",
              "      <td>P07</td>\n",
              "      <td>300</td>\n",
              "      <td>BOGOF</td>\n",
              "      <td>22</td>\n",
              "      <td>85</td>\n",
              "      <td>Sankranti</td>\n",
              "      <td>10-01-2024</td>\n",
              "      <td>16-01-2024</td>\n",
              "      <td>Atliq_Curtains</td>\n",
              "      <td>Home Care</td>\n",
              "      <td>Vijayawada</td>\n",
              "      <td>6600</td>\n",
              "      <td>170</td>\n",
              "      <td>25500.00</td>\n",
              "      <td>25500.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>a1503f</td>\n",
              "      <td>STCBE-1</td>\n",
              "      <td>CAMP_DIW_01</td>\n",
              "      <td>P15</td>\n",
              "      <td>3000</td>\n",
              "      <td>500 Cashback</td>\n",
              "      <td>329</td>\n",
              "      <td>1000</td>\n",
              "      <td>Diwali</td>\n",
              "      <td>12-11-2023</td>\n",
              "      <td>18-11-2023</td>\n",
              "      <td>Atliq_Home_Essential_8_Product_Combo</td>\n",
              "      <td>Combo1</td>\n",
              "      <td>Coimbatore</td>\n",
              "      <td>987000</td>\n",
              "      <td>1000</td>\n",
              "      <td>500000.00</td>\n",
              "      <td>2500000.00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>1091cf</td>\n",
              "      <td>STBLR-6</td>\n",
              "      <td>CAMP_DIW_01</td>\n",
              "      <td>P05</td>\n",
              "      <td>55</td>\n",
              "      <td>25% OFF</td>\n",
              "      <td>108</td>\n",
              "      <td>93</td>\n",
              "      <td>Diwali</td>\n",
              "      <td>12-11-2023</td>\n",
              "      <td>18-11-2023</td>\n",
              "      <td>Atliq_Scrub_Sponge_For_Dishwash</td>\n",
              "      <td>Home Care</td>\n",
              "      <td>Bengaluru</td>\n",
              "      <td>5940</td>\n",
              "      <td>93</td>\n",
              "      <td>1278.75</td>\n",
              "      <td>3836.25</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
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              "  .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-fd19cf13-07df-449f-a67f-b70034e6eb34 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": "data",
              "summary": "{\n  \"name\": \"data\",\n  \"rows\": 1500,\n  \"fields\": [\n    {\n      \"column\": \"event_id\",\n      \"properties\": {\n        \"dtype\": \"string\",\n        \"num_unique_values\": 1500,\n        \"samples\": [\n          \"4ad12b\",\n          \"d622c3\",\n          \"f6aa36\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"store_id\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 50,\n        \"samples\": [\n          \"STBLR-3\",\n          \"STBLR-1\",\n          \"STMYS-3\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"campaign_id\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          \"CAMP_DIW_01\",\n          \"CAMP_SAN_01\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"product_code\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 15,\n        \"samples\": [\n          \"P12\",\n          \"P02\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"base_price\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 741,\n        \"min\": 50,\n        \"max\": 3000,\n        \"num_unique_values\": 19,\n        \"samples\": [\n          190,\n          50\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"promo_type\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 5,\n        \"samples\": [\n          \"25% OFF\",\n          \"33% OFF\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"quantity_sold(before_promo)\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 131,\n        \"min\": 10,\n        \"max\": 642,\n        \"num_unique_values\": 334,\n        \"samples\": [\n          85,\n          278\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"quantity_sold(after_promo)\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 363,\n        \"min\": 9,\n        \"max\": 2067,\n        \"num_unique_values\": 598,\n        \"samples\": [\n          100,\n          1015\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"campaign_name\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          \"Diwali\",\n          \"Sankranti\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"start_date\",\n      \"properties\": {\n        \"dtype\": \"object\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          \"12-11-2023\",\n          \"10-01-2024\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"end_date\",\n      \"properties\": {\n        \"dtype\": \"object\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          \"18-11-2023\",\n          \"16-01-2024\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"product_name\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 15,\n        \"samples\": [\n          \"Atliq_Lime_Cool_Bathing_Bar (125GM)\",\n          \"Atliq_Sonamasuri_Rice (10KG)\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"category\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 5,\n        \"samples\": [\n          \"Grocery & Staples\",\n          \"Home Appliances\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"city\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 10,\n        \"samples\": [\n          \"Trivandrum\",\n          \"Bengaluru\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"revenue_before\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 200584,\n        \"min\": 550,\n        \"max\": 1458000,\n        \"num_unique_values\": 895,\n        \"samples\": [\n          100340,\n          876000\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"quantity_sold\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 667,\n        \"min\": 9,\n        \"max\": 4134,\n        \"num_unique_values\": 657,\n        \"samples\": [\n          620,\n          340\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"total_discount\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 148006.41789866585,\n        \"min\": 123.75,\n        \"max\": 772500.0,\n        \"num_unique_values\": 1157,\n        \"samples\": [\n          304640.0,\n          7055.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"actual_revenue\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 483812.9193710997,\n        \"min\": 371.25,\n        \"max\": 3862500.0,\n        \"num_unique_values\": 1154,\n        \"samples\": [\n          437580.0,\n          57400.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 6
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Citywise Revenue Analysis"
      ],
      "metadata": {
        "id": "V24YdC6pMprf"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import pandas as pd\n",
        "import matplotlib.pyplot as plt\n",
        "\n",
        "# Calculate the number of stores in each city\n",
        "store_count = data.groupby('city')['store_id'].nunique().sort_values(ascending=False)\n",
        "\n",
        "# Create a bar plot for the number of stores\n",
        "plt.figure(figsize=(14, 8))\n",
        "bars = plt.bar(store_count.index, store_count.values, color='#0096FF', alpha=0.7)\n",
        "\n",
        "# Add labels to bars\n",
        "for bar in bars:\n",
        "    yval = bar.get_height()\n",
        "    plt.text(bar.get_x() + bar.get_width()/2.0, yval, int(yval), va='bottom', ha='center', color='tab:blue', fontsize=10)\n",
        "\n",
        "# Set title and labels\n",
        "plt.title('Number of Stores by City')\n",
        "plt.xlabel('City')\n",
        "plt.ylabel('Number of Stores')\n",
        "\n",
        "# Show the plot\n",
        "plt.xticks(rotation=45)\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 765
        },
        "id": "ie2uTD44EAIS",
        "outputId": "3efb911d-e587-4e2d-f61c-fb84a345d7a0"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1400x800 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import pandas as pd\n",
        "import matplotlib.pyplot as plt\n",
        "\n",
        "# Calculate the number of stores in each city\n",
        "store_count = data.groupby('city')['store_id'].nunique().sort_values(ascending=False)\n",
        "\n",
        "# Calculate total revenue before and after promotions for each city\n",
        "revenue_before_city = data.groupby('city')['revenue_before'].sum() / 1_000_000  # Convert to millions\n",
        "actual_revenue_city = data.groupby('city')['actual_revenue'].sum() / 1_000_000  # Convert to millions\n",
        "\n",
        "# Sort revenues based on store count order\n",
        "revenue_before_city = revenue_before_city.loc[store_count.index]\n",
        "actual_revenue_city = actual_revenue_city.loc[store_count.index]\n",
        "\n",
        "# Create a plot for the revenues\n",
        "plt.figure(figsize=(14, 8))\n",
        "\n",
        "# Plotting the actual revenue line chart\n",
        "plt.plot(store_count.index, actual_revenue_city.values, color='tab:orange', marker='o', label='Revenue After Promo')\n",
        "\n",
        "# Plotting the revenue before promotion line chart\n",
        "plt.plot(store_count.index, revenue_before_city.values, color='tab:blue', marker='o', label='Revenue Before Promo')\n",
        "\n",
        "# Adding labels to lines\n",
        "for i, txt in enumerate(actual_revenue_city.values):\n",
        "    plt.annotate(f'{txt:.2f}M', (store_count.index[i], actual_revenue_city.values[i]), textcoords=\"offset points\", xytext=(0,10), ha='center', color='tab:orange')\n",
        "for i, txt in enumerate(revenue_before_city.values):\n",
        "    plt.annotate(f'{txt:.2f}M', (store_count.index[i], revenue_before_city.values[i]), textcoords=\"offset points\", xytext=(0,10), ha='center', color='tab:blue')\n",
        "\n",
        "# Adding legend\n",
        "plt.legend(loc='upper right')\n",
        "\n",
        "# Set title and labels\n",
        "plt.title('Revenue Before and After Promotions by City')\n",
        "plt.xlabel('City')\n",
        "plt.ylabel('Revenue (in Millions)')\n",
        "\n",
        "# Show the plot\n",
        "plt.xticks(rotation=45)\n",
        "plt.show()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 765
        },
        "id": "sONIXqVnFKsX",
        "outputId": "8cf92218-63ef-47bc-b463-67dcc997427b"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1400x800 with 1 Axes>"
            ],
            "image/png": 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8ud0opfiRNZ07d7Z9Zvcej/9+9u7dS0hICC+99JLduj1t27alfPnyrFmzJkXvF6zf+c8//0xAQAAlS5a0HS9YsCC9evVi+/bthIeH213z/PPP200ja9iwIbGxsVy4cAHAto7T6tWruXPnToozFSpUyG7Em5eXF/369ePAgQMEBwcD1p3k3Nzc7H6mNmzYwLVr1xKs93W/8PBwu885LfXr18828i3evHnzcHd3p3PnzulyTxERSXua9iUiIo/dlClTKFu2LGFhYcycOZPffvsNV1dX2/kzZ85gGAbvvfce7733XqJ9hISEULhwYapVq0b58uVZuHAhgwcPBqxTvvLly2crrly9epXQ0FD+97//8b///S/J/u51b6EA/p2SduPGjRS/39OnT3P8+HG7IsmD7p0YR0dH/P397Y61adOGMmXKMGrUKJYuXWq71+HDh1N9rwsXLlCmTBkcHOz/+1D8NKX4fwzH8/Pzs3udku8uKatXr+bDDz/k4MGDdmsi3b+zFiT8nsD6XcV/T1evXuXWrVuUKVMmQbty5cqxdu3aJHPEO378OAcOHKBfv3526z41adKEKVOmEB4ejpeX10P7ud/p06eBf9fhud/9fTo5OdkKpMkV/7vm5OREgQIFKFeuXILvNrF+L1y4QKFChRIUFJL6Obj/e/D29gagaNGiiR6P/37i+ylXrlyC7OXLl2f79u0Pf5P3uXr1KlFRUYn2WaFCBeLi4rh06RKVKlVKMv/9v++NGzemc+fOjB07lkmTJtGkSRMCAgLo1auX3d9dSSldunSCn9+yZcsC1mmvvr6+5MqVi/bt2zN//nw++OADwFpkKVy4cJI/I/HuLXimtRYtWlCwYEHmzZtH8+bNiYuL48cff+SZZ55Jt4KTiIikPRV/RETksXvyySdtOxAFBATQoEEDevXqxcmTJ/H09LQtTPzmm28mOTqjdOnStufdu3fno48+4tq1a+TMmZOVK1fSs2dP20LI8f316dMnwdpA8apWrWr32tHRMdF2xj2L3SZWjADryIN7r4+Li6NKlSp88cUXiba//x/IyVWkSBHKlStnN5onLi6OFi1aMGLEiESvif8HZ1q5d5RO/P0h+d/d/bZt20aHDh1o1KgR33zzDQULFsTZ2ZlZs2Yxf/78BO2T8z09qh9++AGAYcOGJViPBayL7Q4cODDF/cZ/VnPnzrUt3n2v+xfydnV1TVC4eZh7f9eSkpp+75fU9/A4vp+08LCcFouFJUuWsHv3blatWsWGDRsYNGgQn3/+Obt378bT0zNNcvTr14/Fixezc+dOqlSpwsqVK3nppZce+v2UL1+eAwcOcOnSpVT/fZIUR0dHevXqxbfffss333zDjh07uHz58kNHI4mISMai4o+IiJjK0dGR8ePH07RpU77++mtGjhxpm6rh7OycYLRLYrp3787YsWNZunQpBQoUIDw8nB49etjO+/j4kDNnTmJjY5PVX3Llzp2b0NDQBMcvXLhgN92kVKlSHDp0iObNmydZMEqtu3fvEhkZaXevyMjIVL/P4sWLc/jwYeLi4uz+wXnixAnb+QdJ6Xd3v6VLl+Lm5saGDRvsRlTMmjUrxX2B9bt3d3e3jbK518mTJx96vWEYzJ8/n6ZNm/LSSy8lOP/BBx8wb968BxZ/kvrO46er5c+fP01/LtNC8eLF2bRpExEREXajO5L7c5CS+4D1u7h/dMvJkyft7pPc3x0fHx9y5MiR6Pd74sQJHBwcUl0gqVOnDnXq1OGjjz5i/vz59O7dmwULFvDss88+8Lr4EXH3vof46Zr3Tpdr1aoVPj4+zJs3j6eeeoqoqKhkLeLcvn17fvzxR3744QdGjRqV4vf1sM+2X79+fP7556xatYp169bh4+OTommTIiJiPq35IyIipmvSpAlPPvkkkydPJjo6mvz589OkSROmT59OUFBQgvb3b8FcoUIFqlSpwsKFC1m4cCEFCxakUaNGtvOOjo507tyZpUuXcvTo0Yf2l1ylSpVi9+7d3L5923Zs9erVXLp0ya5dt27d+Pvvv/n2228T9HHr1i1u3ryZqvufOnWKkydPUq1aNbt77dq1iw0bNiRoHxoayt27dx/YZ5s2bQgODrbtcgTWAtN///tfPD09ady48QOvT+l3dz9HR0csFguxsbG2Y+fPn0/2jmiJ9deyZUtWrFjBxYsXbcePHz+e6Gd0vx07dnD+/HkGDhxIly5dEjy6d+/Oli1buHz5cpJ9eHh4ACQoFLZs2RIvLy8+/vjjRNeRSe3PZVpo06YNsbGxfP3113bHJ02ahMVioXXr1mlyn9q1a5M/f36mTZtmN8Vv3bp1HD9+3G53t6Q+x/s5Ojry9NNP89NPP9ltK3/lyhXmz59PgwYNUjxN78aNGwlGK1WvXh3ALndSLl++zPLly22vw8PDmTNnDtWrV7cb9eXk5ETPnj1ZtGgRs2fPpkqVKglGJSamS5cuVKlShY8++ohdu3YlOB8REcE777yT5PXxO8cl9dlWrVqVqlWr8t1337F06VJ69OiRYGSaiIhkbPpbW0REMoS33nqLrl27Mnv2bF588UWmTJlCgwYNqFKlCs899xwlS5bkypUr7Nq1i7/++otDhw7ZXd+9e3fef/993NzcGDx4cIJpEp988glbtmzhqaee4rnnnqNixYpcv36d/fv3s2nTJq5fv57izM8++yxLliyhVatWdOvWjbNnz/LDDz/YLUAM1u2XFy1axIsvvsiWLVuoX78+sbGxnDhxgkWLFrFhw4aHTs25e/eubfpRXFwc58+fZ9q0acTFxTF69Gi7z3HlypW0a9eOAQMGUKtWLW7evMmRI0dYsmQJ58+fJ1++fEne5/nnn2f69OkMGDCAffv2UaJECZYsWcKOHTuYPHlystb4SOl3d6+2bdvyxRdf0KpVK3r16kVISAhTpkyhdOnSHD58+KH3TszYsWNZv349DRs25KWXXrIVsypVqvTQPufNm4ejo2OCLebjdejQgXfeeYcFCxYwfPjwRNtUr14dR0dHJkyYQFhYGK6urjRr1oz8+fMzdepU+vbtS82aNenRowc+Pj5cvHiRNWvWUL9+/QTFl8elffv2NG3alHfeeYfz589TrVo1fv75Z3766Sdef/31BD/jqeXs7MyECRMYOHAgjRs3pmfPnrat3kuUKGE3za5WrVoAvPrqq7Rs2RJHR0e7EX73+vDDD9m4cSMNGjTgpZdewsnJienTpxMTE8Onn36a4pzff/8933zzDR07dqRUqVJERETw7bff4uXlRZs2bR56fdmyZRk8eDB79uyhQIECzJw5kytXriQ6oq1fv3589dVXbNmyhQkTJiQrn7OzM8uWLcPf359GjRrRrVs36tevj7OzM3/++Sfz588nd+7cfPTRR4le7+7uTsWKFVm4cCFly5YlT548VK5cmcqVK9vlevPNNwE05UtEJDMyZ5MxERHJjuK3VU5su+TY2FijVKlSRqlSpYy7d+8ahmEYZ8+eNfr162f4+voazs7ORuHChY127doZS5YsSXD96dOnbVugb9++PdH7X7lyxRg6dKhRtGhRw9nZ2fD19TWaN29u/O9//7O1id/qffHixXbXxm9tfv/Wxp9//rlRuHBhw9XV1ahfv76xd+/eBFu9G4Z1y+YJEyYYlSpVMlxdXY3cuXMbtWrVMsaOHWuEhYU98HNLbKt3Ly8vo3nz5samTZsStI+IiDBGjRpllC5d2nBxcTHy5ctn1KtXz5g4caJx+/ZtW7vEtnqP/5wGDhxo5MuXz3BxcTGqVKmS4H3Hfx6fffZZoplT8t3db8aMGUaZMmUMV1dXo3z58sasWbOM0aNHJ9jmGzCGDh2a4PrixYsn2Bp769atRq1atQwXFxejZMmSxrRp0xLt8163b9828ubNazRs2PCBef38/Gxbdie21bthGMa3335rlCxZ0ra9/L3bvm/ZssVo2bKl4e3tbbi5uRmlSpUyBgwYYOzdu9fWpn///oaHh8cDc9zrQb9r93pQvxEREcawYcOMQoUKGc7OzkaZMmWMzz77zG5LdMNI/HtI6ucjqd+vhQsXGjVq1DBcXV2NPHnyGL1797ZtRx/v7t27xiuvvGL4+PgYFovF7rsjkW3K9+/fb7Rs2dLw9PQ0cuTIYTRt2tTYuXOnXZukPqf4nPHf0/79+42ePXsaxYoVM1xdXY38+fMb7dq1s/uOkhL/e7ZhwwajatWqtp/r+z+De1WqVMlwcHBI8Bk8zI0bN4z333/fqFKlipEjRw7Dzc3NqFy5sjFq1CgjKCjI1u7+rd4NwzB27txp+x1J7PMMCgoyHB0djbJly6Yok4iIZAwWw8hgK+6JiIiIiGRjNWrUIE+ePGzevNnsKDbXrl2jYMGCvP/++0nu5CciIhmX1vwREREREckg9u7dy8GDB+nXr5/ZUezMnj2b2NjYZC1ALSIiGY9G/oiIiIiImOzo0aPs27ePzz//nGvXrnHu3Dnc3NzMjsUvv/zCsWPHeO+992jatCnLli0zO5KIiKSCRv6IiIiIiJhsyZIlDBw4kDt37vDjjz9miMIPwLhx4xg+fDjVq1fnv//9r9lxREQklTTyR0REREREREQkC9PIHxERERERERGRLEzFHxERERERERGRLMzJ7ADpLS4ujsuXL5MzZ04sFovZcURERERERERE0oRhGERERFCoUCEcHJIe35Pliz+XL1+maNGiZscQEREREREREUkXly5dokiRIkmez/LFn5w5cwLWD8LLy8vkNCIiIiIiIiIiaSM8PJyiRYvaah9JyfLFn/ipXl5eXir+iIiIiIiIiEiW87BlbrTgs4iIiIiIiIhIFpblR/48NpOqQNjFhMefeBbafg57Z8GRJRB0CG5HwNsXwD3Xg/s8vwN2fgWXD0JkMHSfBxXa2bcZ4534tS3GQf3X7NsM3gRFn/i3zd0Y+Lwc3LoB/VeDX8PkvFMRERERERERyURU/Ekrz2+BuNh/X4ccg7kBUDHA+vrOLSjd3PrYPDZ5fd6JggKVoUYfWNgn8TZvnLJ/fWYj/PQyVOhgf9yrCBz8wb74c3wVuHhaiz8iIiIiIiIikiWp+JNWPPLZv94+CXL7QYkG1td1X7L+Gbgt+X2WaWF9PEjOAvavT6y1juDJ42d/vHpP+H06tPoEnN2txw78ANV6wm+fJj+TiIiIiIhIKsXGxnLnzh2zY4hkGs7Ozjg6Oj5yPyr+pIe7t+HwQqg7FB6y6FKaigyB0xsgYFrCcwWrQ65icGwlVOsOoZfgwk7rlDQVf0REREREJB0ZhkFwcDChoaFmRxHJdHLlyoWvr+9DF3V+EBV/0sOJ1RAdBtV7P977HpxvncZVoX3i52v0gQNzrcWfg/Oto4py5H28GUVEREREJNuJL/zkz5+fHDlyPNI/YkWyC8MwiIqKIiQkBICCBQumui8Vf9LDgbnWwopX6r+Y1N33B6jaDZzdEj9ftTtsGgPXA+HgPGitET8iIiIiIpK+YmNjbYWfvHn1H59FUsLd3bpsS0hICPnz50/1FDBt9Z7WQi/CuV+hZr/He98LO+Gf0w++b448ULYlrHzFutPXw9YTEhEREREReUTxa/zkyJHD5CQimVP8786jrJel4k9aOzAPPHygTMvHe9/9c63r+vhWeXC7Gn3h/Dao1gMcHn3RKBERERERkeTQVC+R1EmL3x1N+0pLcXHW6VTVeoLjfR9txBWIvALXz1lfhxyzrs/jXcQ6Igfg+/ZQvj089bz1dUzkv+0BQi9A0GFwzw25iv57PDocjq2Apz98eMbS/vDWOXDNmeq3KSIiIiIiIiKZh0b+pKVzWyDsknV0zf32zoTpDWHVq9bXs1pbX59c92+b6+ch6p9/X18+YG0zvaH19Yb/WJ9v+di+76NLwTCgSpeHZ7RYwCMvOLmk6K2JiIiIiIiIJObEiRPUqVMHNzc3qlevbnYcSYTFMAzD7BDpKTw8HG9vb8LCwvDy8jI7joiIiIiISLYSHR1NYGAgfn5+uLklsTlNcsXFWtc7jbwCngWgeL10Xc5iwIABfP/99wA4OTlRpEgRunbtyrhx4x79vWQyL7zwAt999x0LFiyga9eudue6d+/OtWvXmDlzJp6enqxatYrXX3+d0NDQdMly/vx5/Pz8bK/z5MlDrVq1mDBhAjVq1EiXe5rpQb9Dya15aOSPiIiIiIiIZHzHVsLkyvB9O1g62Prn5MrW4+moVatWBAUFce7cOSZNmsT06dMZPXp0ut4zo4mKimLBggWMGDGCmTNnJjh/9uxZGjRoQPHixdN0R7fY2Fji4uKSPL9p0yaCgoLYsGEDkZGRtG7dOsmC06MslpwVqPgjIiIiIiIiGduxlbCoH4Rftj8eHmQ9no4FIFdXV3x9fSlatCgBAQH4+/uzceNG2/m4uDjGjx+Pn58f7u7uVKtWjSVLltjOFSlShKlTp9r1eeDAARwcHLhw4QIAoaGhPPvss/j4+ODl5UWzZs04dOiQrf2YMWOoXr06c+fOpUSJEnh7e9OjRw8iIiJsbUqUKMHkyZPt7lO9enXGjBlje/2w+yRl8eLFVKxYkZEjR/Lbb79x6dIl2zmLxcK+ffsYN24cFouFJk2aMHDgQMLCwrBYLFgsFluGmJgY3nzzTQoXLoyHhwdPPfUUv/76q62v2bNnkytXLlauXEnFihVxdXXl4sWLSebKmzcvvr6+1K5dm4kTJ3LlyhV+//13zp8/j8ViYeHChTRu3Bg3NzfmzZtHXFwc48aNo0iRIri6ulK9enXWr19v6y/+ukWLFtGwYUPc3d154oknOHXqFHv27KF27dp4enrSunVrrl69arvuYf1mBCr+iIiIiIiIyONlGHD7ZvIe0eGwbgSQ2Iol/39s/dvWdsnp7xFWPjl69Cg7d+7ExeXfNVTHjx/PnDlzmDZtGn/++SfDhg2jT58+bN26FQcHB3r27Mn8+fPt+pk3bx7169enePHiAHTt2pWQkBDWrVvHvn37qFmzJs2bN+f69eu2a86ePcuKFStYvXo1q1evZuvWrXzyyScpyp+c+yRmxowZ9OnTB29vb1q3bs3s2bNt54KCgqhUqRJvvPEGQUFBrFy5ksmTJ+Pl5UVQUBBBQUG8+eabALz88svs2rWLBQsWcPjwYbp27UqrVq04ffq0rb+oqCgmTJjAd999x59//kn+/PmT9d7c3d0BuH37tu3YyJEjee211zh+/DgtW7bkyy+/5PPPP2fixIkcPnyYli1b0qFDB7v7A4wePZp3332X/fv34+TkRK9evRgxYgRffvkl27Zt48yZM7z//vu29snt10za7UtEREREREQerztR8HGhNOrMsI4I+qTow5sC/OcyuHgku/fVq1fj6enJ3bt3iYmJwcHBga+//hqwjmT5+OOP2bRpE3Xr1gWgZMmSbN++nenTp9O4cWN69+7N559/zsWLFylWrBhxcXEsWLCAd999F4Dt27fzxx9/EBISgqurKwATJ05kxYoVLFmyhOeft+4GHRcXx+zZs8mZ07pzc9++fdm8eTMfffRRst5Hcu9zv9OnT7N7926WLVsGQJ8+fRg+fDjvvvsuFosFX19fnJyc8PT0xNfXFwBvb2/buXgXL15k1qxZXLx4kUKFrN/9m2++yfr165k1axYff2zd2OjOnTt88803VKtWLVnvC6wjmj744AM8PT158sknuXXrFgCvv/46nTp1srWbOHEib7/9Nj169ABgwoQJbNmyhcmTJzNlyhRbuzfffJOWLVsC8Nprr9GzZ082b95M/fr1ARg8eLBdASy5/ZpJxR8RERERERGRJDRt2pSpU6dy8+ZNJk2ahJOTE507dwbgzJkzREVF0aJFC7trbt++bVt4uHr16lSoUIH58+czcuRItm7dSkhIiG3R5EOHDhEZGZlgrZxbt25x9uxZ2+sSJUrYCj8ABQsWJCQkJNnvI7n3ud/MmTNp2bIl+fLlA6BNmzYMHjyYX375hebNmyf7/keOHCE2NpayZcvaHY+JibHL5OLiQtWqVZPVZ7169XBwcODmzZuULFmShQsXUqBAAc6fPw9A7dq1bW3Dw8O5fPmyrYATr379+gmmvt17/wIFCgBQpUoVu2Pxn31K+jWTij8iIiIiIiLyeDnnsI7ASY4LO2Fel4e3673EuvtXcu6dAh4eHpQuXRqwFkKqVavGjBkzGDx4MJGRkQCsWbOGwoUL210XP7oGoHfv3rbiz/z582nVqpWt4BEZGUnBggXt1r6JlytXrn9jOzvbnbNYLHaLITs4OHD/Zt73LnKc3PvcKzY2lu+//57g4GCcnJzsjs+cOTNFxZ/IyEgcHR3Zt28fjo72O7R5enranru7u2OxWJLV58KFC6lYsSJ58+ZN9D14eCR/hNe97v2s47Pcf+xBC1FnRCr+iIiIiIiIyONlsSR/6lWpZuBVyLq4c6Lr/lis50s1S9dt38FaYPnPf/7D8OHD6dWrl92ixI0bN07yul69evHuu++yb98+lixZwrRp02znatasaSuulChRItXZfHx8CAoKsr0ODw8nMDDwke6zdu1aIiIiOHDggF3B5ujRowwcOJDQ0NBEiy4uLi7ExsbaHatRowaxsbGEhITQsGHDlL25JBQtWpRSpUolq62XlxeFChVix44ddt/Vjh07ePLJJ1OdIb36TWta8FlEREREREQyLgdHaDXh/1/cPyLk/1+3+iTdCz/xunbtiqOjI1OmTCFnzpy8+eabDBs2jO+//56zZ8+yf/9+/vvf//L999/brilRogT16tVj8ODBxMbG0qFDB9s5f39/6tatS0BAAD///DPnz59n586dvPPOO+zduzfZuZo1a8bcuXPZtm0bR44coX///nYFm9TcZ8aMGbRt25Zq1apRuXJl26Nbt27kypWLefPmJXpdiRIliIyMZPPmzVy7do2oqCjKli1L79696devH8uWLSMwMJA//viD8ePHs2bNmmS/z0fx1ltvMWHCBBYuXMjJkycZOXIkBw8e5LXXXsuQ/aYlFX8yurhYCNwGR5ZY/4yLffg1IiIiIiIiWUnFDtBtDngVtD/uVch6vGKHxK9LB05OTrz88st8+umn3Lx5kw8++ID33nuP8ePHU6FCBVq1asWaNWvw8/Ozu653794cOnSIjh072namAusUorVr19KoUSMGDhxI2bJl6dGjBxcuXLCtN5Mco0aNonHjxrRr1462bdsSEBBgNyompfe5cuUKa9assa1vdC8HBwc6duzIjBkzEs1Sr149XnzxRbp3746Pjw+ffvopALNmzaJfv3688cYblCtXjoCAAPbs2UOxYsWS/T4fxauvvsrw4cN54403qFKlCuvXr2flypWUKVMmQ/ablizG/ZMCs5jw8HC8vb0JCwvDy8vL7Dgpc2yldcvC8HvmwnoVsla9H+NfbiIiIiIiIqkVHR1NYGAgfn5+uLm5PVpncbHWNYAir4BnAesaP49pxI+IWR70O5TcmofW/Mmojq2ERf1IMKc1PMh6/DFXt0VEREREREzn4Ah+abNejEh2omlfGVFcrHXET6KLmf3/sfUjNQVMRERERERERB5KxZ+M6MJO+6leCRgQ/re1nYiIiIiIiIjIA6j4kxFFXknbdiIiIiIiIiKSban4kxF5JnNF9+S2ExEREREREZFsS8WfjKh4PeuuXliSbuNV2NpOREREREREROQBVPzJiBwcrdu5A0kWgLwKP7Y4IiIiIiIiIpJ5qfiTUVXsYN3O3aug/fEcecHiCH/9AateBSOxHcFERERERERERKyczA4gD1CxA5Rva93VK/KKdY2f4vXgxGpYPAAO/ACu3tDyI7A8YIqYiIiIiIiIiGRbpo78KVGiBBaLJcFj6NChAERHRzN06FDy5s2Lp6cnnTt35sqVbLbDlYMj+DWEKl2sfzo4QsVnoMPX1vO7p8Bvn5mbUUREREREROQBgoODadGiBR4eHuTKlcvsONmOqcWfPXv2EBQUZHts3LgRgK5duwIwbNgwVq1axeLFi9m6dSuXL1+mU6dOZkbOOGr0hlafWJ9v+Qh2TzU3j4iIiIiISDqLjTPYdfYffjr4N7vO/kNsXPougzFgwADbIAVnZ2f8/PwYMWIE0dHR6XrfjOTegRpOTk4UK1aM4cOHExMTk6J+Jk2aRFBQEAcPHuTUqVPplDZp974Pb29v6tevzy+//PLYc5jF1GlfPj4+dq8/+eQTSpUqRePGjQkLC2PGjBnMnz+fZs2aATBr1iwqVKjA7t27qVOnjhmRM5Y6QyA6HH79GNaPBFcva1FIREREREQki1l/NIixq44RFPZv4aWgtxuj21ekVeWCD7jy0bRq1YpZs2Zx584d9u3bR//+/bFYLEyYMOHhF2cRs2bNolWrVty5c4dDhw4xcOBAPDw8+OCDD5Ldx9mzZ6lVqxZlypRJdY7bt2/j4uKS6uvj38e1a9d45513aNeuHUePHqVkyZIJ2t65cwdnZ+dU3yujyTALPt++fZsffviBQYMGYbFY2LdvH3fu3MHf39/Wpnz58hQrVoxdu3Yl2U9MTAzh4eF2jyyt8QioY50mx8qX4dhKc/OIiIiIiIiksfVHgxjyw367wg9AcFg0Q37Yz/qjQel2b1dXV3x9fSlatCgBAQH4+/vbZq0AxMXFMX78ePz8/HB3d6datWosWbLEdq5IkSJMnWo/U+PAgQM4ODhw4cIFAEJDQ3n22Wfx8fHBy8uLZs2acejQIVv7MWPGUL16debOnUuJEiXw9vamR48eRERE2NqUKFGCyZMn292nevXqjBkzxvb6YfdJSq5cuWyfQbt27XjmmWfYv3+/XZuffvqJmjVr4ubmRsmSJRk7dix37961ZVu6dClz5szBYrEwYMAAAC5evMgzzzyDp6cnXl5edOvWzW6pl/j3/d133+Hn54ebm1uavI/KlSszdepUbt26ZfsuLRYLU6dOpUOHDnh4ePDRRx8BMHXqVEqVKoWLiwvlypVj7ty5dn1aLBamT59Ou3btyJEjBxUqVGDXrl2cOXOGJk2a4OHhQb169Th79qzddQ/rN61lmOLPihUrCA0Ntf0QBAcH4+LikmAuYIECBQgODk6yn/Hjx+Pt7W17FC1aNB1TZwAWi3XB5xp9wYiDJYPgzGazU4mIiIiIiCTJMAyibt9N1iMi+g6jV/5JYhO84o+NWXmMiOg7yerPeIQdk48ePcrOnTvtRp+MHz+eOXPmMG3aNP7880+GDRtGnz592Lp1Kw4ODvTs2ZP58+fb9TNv3jzq169P8eLFAevSJyEhIaxbt459+/ZRs2ZNmjdvzvXr123XnD17lhUrVrB69WpWr17N1q1b+eSTT1KUPzn3eZhTp07xyy+/8NRTT9mObdu2jX79+vHaa69x7Ngxpk+fzuzZs20FlD179tCqVSu6detGUFAQX375JXFxcTzzzDNcv36drVu3snHjRs6dO0f37t3t7nfmzBmWLl3KsmXLOHjwYJq9D3d3d8A6ECXemDFj6NixI0eOHGHQoEEsX76c1157jTfeeIOjR4/ywgsvMHDgQLZs2WLX1wcffEC/fv04ePAg5cuXp1evXrzwwguMGjWKvXv3YhgGL7/8sq19cvtNSxlmt68ZM2bQunVrChUq9Ej9jBo1iuHDh9teh4eHZ48CUPsvISYCjq2AhX2g73IopqlxIiIiIiKS8dy6E0vF9zekSV8GEBweTZUxPyer/bFxLcnhkvx/Cq9evRpPT0/u3r1LTEwMDg4OfP21dQOemJgYPv74YzZt2kTdunUBKFmyJNu3b2f69Ok0btyY3r178/nnn3Px4kWKFStGXFwcCxYs4N133wVg+/bt/PHHH4SEhODq6grAxIkTWbFiBUuWLOH5558HrKOIZs+eTc6cOQHo27cvmzdvthVYHia590lMz549cXR0tH0G7dq1Y9SoUbbzY8eOZeTIkfTv39/2GXzwwQeMGDGC0aNH4+Pjg6urK+7u7vj6+gKwceNGjhw5QmBgoO3f7HPmzKFSpUrs2bOHJ554ArAWZ+bMmWNbNuZR3ke8qKgo3n33XRwdHWncuLHteK9evRg4cKDd+x4wYAAvvfQSAMOHD2f37t1MnDiRpk2b2toNHDiQbt26AfD2229Tt25d3nvvPVq2bAnAa6+9ZtfvxIkTk9VvWsoQI38uXLjApk2bePbZZ23HfH19uX37NqGhoXZtr1y5YvthSYyrqyteXl52j2zBwRE6fQul/eFOFMzrBkGHzU4lIiIiIiKSqTVt2pSDBw/y+++/079/fwYOHEjnzp0B66iUqKgoWrRogaenp+0xZ84c2zSf6tWrU6FCBdvon61btxISEmLb6OjQoUNERkbadrmOfwQGBtpNFSpRooSt8ANQsGBBQkJCkv0+knufxEyaNImDBw9y6NAhVq9ezalTp+jbt69d3+PGjbPr97nnniMoKIioqKhE+zx+/DhFixa1G6xRsWJFcuXKxfHjx23Hihcvbrde8KO8j549e+Lp6UnOnDlZunQpM2bMoGrVqrbztWvXTpCxfv36dsfq169vlw+w66NAgQIAVKlSxe5YdHS0bVma5PabljLEyJ9Zs2aRP39+2rZtaztWq1YtnJ2d2bx5s+0X6+TJk1y8eNFWUZX7OLlAt7nwQye4uAvmdoRBGyBfabOTiYiIiIiI2Lg7O3JsXMtktf0j8DoDZu15aLvZA5/gSb88ybp3Snh4eFC6tPXfVDNnzqRatWrMmDGDwYMHExkZCcCaNWsoXLiw3XXxo1IAevfuzfz58xk5ciTz58+nVatW5M2bF4DIyEgKFizIr7/+muDe9y6Dcv/iwxaLhbi4ONtrBweHBFPa7ty5Y3ue3PskxtfX1/YZlCtXjoiICHr27MmHH35I6dKliYyMZOzYsYnuzh2/Tk9qeXh42L1+lPcxadIk/P398fb2TrABVWL3Sq57vxuLxZLksXu/r8fN9OJPXFwcs2bNon///jg5/RvH29ubwYMHM3z4cPLkyYOXlxevvPIKdevW1U5fD+KSA3othNntIPgwzHkGBq2HXFl86puIiIiIiGQaFosl2VOvGpbxoaC3G8Fh0Ymu+2MBfL3daFjGB0cHS5rmvJ+DgwP/+c9/GD58OL169aJixYq4urpy8eJFu+lD9+vVqxfvvvsu+/btY8mSJUybNs12rmbNmgQHB+Pk5ESJEiVSnc3Hx4egoH8Xvg4PDycwMDDN7wPg6GgtoN26dcvW98mTJ20FouSoUKECly5d4tKlS7bRP8eOHSM0NJSKFSsmed2jvI97i1jJzbhjxw7bdDaAHTt2PDCfmf0+iOnTvjZt2sTFixcZNGhQgnOTJk2iXbt2dO7cmUaNGuHr68uyZctMSJnJuHlb1/zJVxbC/4K5ARCZ/OGAIiIiIiIiGYWjg4XR7a3/KL6/tBP/enT7iule+InXtWtXHB0dmTJlCjlz5uTNN99k2LBhfP/995w9e5b9+/fz3//+l++//952TYkSJahXrx6DBw8mNjaWDh062M75+/tTt25dAgIC+Pnnnzl//jw7d+7knXfeYe/evcnO1axZM+bOncu2bds4cuQI/fv3txVpHvU+oaGhBAcHc/nyZbZu3cq4ceMoW7YsFSpUAOD9999nzpw5jB07lj///JPjx4/brWuUGH9/f6pUqULv3r3Zv38/f/zxB/369aNx48YJpl/df11afF7J8dZbbzF79mymTp3K6dOn+eKLL1i2bBlvvvlmhuz3QUwv/jz99NMYhkHZsmUTnHNzc2PKlClcv36dmzdvsmzZsgeu9yP38MgHfVeAdzH45wzM7QS3bpidSkREREREJMVaVS7I1D418fW2n0Lk6+3G1D41aVW54GPL4uTkxMsvv8ynn37KzZs3+eCDD3jvvfcYP348FSpUoFWrVqxZswY/Pz+763r37s2hQ4fo2LGjbacpsI6CWrt2LY0aNWLgwIGULVuWHj16cOHCBdv6MckxatQoGjduTLt27Wjbti0BAQGUKlUqTe4zcOBAChYsSJEiRejZsyeVKlVi3bp1ttk7LVu2ZPXq1fz888888cQT1KlTh0mTJtl2M0uMxWLhp59+Infu3DRq1Ah/f39KlizJwoULH5glrT6v5AgICODLL79k4sSJVKpUienTpzNr1iyaNGmSIft9EIvxKPvcZQLh4eF4e3sTFhaWfRZ/vtc/Z2FmK7gZAkWehH4rwCV18xhFRERERERSKjo6msDAQPz8/B55/ZfYOIM/Aq8TEhFN/pxuPOmX57GN+BExy4N+h5Jb8zB95I+ks7ylrAUft1zw1x+woDfcjTE7lYiIiIiISIo5OlioWyovz1QvTN1SeVX4EUkmFX+ygwKVoPcScPaAc1tg6WCIvWt2KhERERERERF5DFT8yS6KPgE954OjCxxfBStfARO3mRMRERERERGRx0PFn+ykZBPoOhssjnBoPqwfCVl7yScRERERERGRbE/Fn+ymfFsImGp9/sd0+HW8uXlEREREREREJF2p+JMdVesObSZan2+dADu/NjePiIiIiIhkeXFadkIkVdLid8cpDXJIZvTkcxAdBr98AD+/A25eULOf2alERERERCSLcXFxwcHBgcuXL+Pj44OLiwsWi3bpEnkYwzC4ffs2V69excHBARcXl1T3peJPdtbwDWsBaOdXsPJVcPGEyp3MTiUiIiIiIlmIg4MDfn5+BAUFcfnyZbPjiGQ6OXLkoFixYjg4pH7yloo/2ZnFAi3GQUw47JsNy54H15xQpoXZyUREREREJAtxcXGhWLFi3L17l9jYWLPjiGQajo6OODk5PfJoORV/sjuLBdp+ATERcHQpLOwLfZdB8XpmJxMRERERkSzEYrHg7OyMs7Oz2VFEsh0t+Czg4Agdp0OZlnD3FszvDpcPmp1KRERERERERNKAij9i5egM3b6H4vWt08B+6ARXT5qdSkREREREREQekYo/8i9nd+i5AArVgKh/YE4A3LhgdioREREREREReQQq/og9Ny/ovRR8ykPEZZjzDEQEm51KRERERERERFJJxR9JyCMv9F0OuYrDjUCY2xGirpudSkRERERERERSQcUfSZxXIej3E3j6QsgxmNfFuiOYiIiIiIiIiGQqKv5I0vL4Qb8V4J4b/t4HC3rBnWizU4mIiIiIiIhICqj4Iw+WvwL0WQounhD4GywZBLF3zE4lIiIiIiIiIsmk4o88XOFa1l3AHF3h5Br4aSjExZmdSkRERERERESSQcUfSR6/htBtDjg4weGFsO4tMAyzU4mIiIiIiIjIQ6j4I8lXrhV0nA5YYM938MsHZicSERERERERkYdQ8UdSpkoXaPeF9fm2z2H7ZFPjiIiIiIiIiMiDqfgjKVd7EPiPtT7fNBr2zjI3j4iIiIiIiIgkScUfSZ0Gr0OD4dbnq4fBkSWmxhERERERERGRxKn4I6nX/H144lnAgOUvwMn1ZicSERERERERkfuo+COpZ7FA68+ganeIuwuL+0PgNrNTiYiIiIiIiMg9VPyRR+PgAM9MgXJt4G40/NgD/t5ndioRERERERER+X8q/sijc3SGLrOgREO4HQk/dIaQ42anEhERERERERFU/JG04uwGPX+EwrXh1g2YEwDXA81OJSIiIiIiIpLtqfgjacc1J/ReDPkrQmQwzHkGwoPMTiUiIiIiIiKSran4I2krRx7ouxxy+0HoBZgbAFHXzU4lIiIiIiIikm2p+CNpL6cv9PsJchaCqyfgh04QHW52KhEREREREZFsScUfSR+5i0O/FZAjL1w+AD/2hDu3zE4lIiIiIiIiku2o+CPpx6cc9FkGrl5wYTss6g+xd8xOJSIiIiIiIpKtqPgj6atQdei1EJzc4PQGWP4CxMWanUpEREREREQk21DxR9Jf8XrQ/QdwcIKjS2HNcDAMs1OJiIiIiIiIZAsq/sjjUaYFdPoWLA6wbzZsfF8FIBEREREREZHHQMUfeXwqd4L2X1qf7/wKtn9hbh4RERERERGRbEDFH3m8avaDpz+yPt88Dv741tw8IiIiIiIiIlmcij/y+NV7GRqNsD5f+yYcWmhuHhEREREREZEsTMUfMUfT/8CTL1ifrxgCJ9aYm0dEREREREQki1LxR8xhsUCrT6BaLzBiYfEAOPer2alEREREREREshwVf8Q8Dg7Q4b9Qvh3E3oYfe8Ffe81OJSIiIiIiIpKlqPgj5nJ0gi4zoWRTuHMTfugMV/40O5WIiIiIiIhIlqHij5jPyRV6zIMiT0J0KMwJgH/Omp1KREREREREJEtQ8UcyBhcP6L0YClSBmyHWAlDY32anEhEREREREcn0VPyRjMM9F/RdBnlKQdhFmBsAN6+ZnUpEREREREQkU1PxRzIWz/zQ7yfwKgLXTsEPnSA6zOxUIiIiIiIiIpmWij+S8eQqCv1WQI58EHQI5neH21FmpxIRERERERHJlFT8kYwpXxnouxxcveHiLljUF+7eNjuViIiIiIiISKaj4o9kXAWrQu9F4JwDzmyCZc9BXKzZqUREREREREQyFRV/JGMrVge6/wAOznBsBax6DQzD7FQiIiIiIiIimYaKP5LxlW4OXWaAxQEOzIWf31UBSERERERERCSZVPyRzKHiM9Dha+vzXV/Db5+Zm0dEREREREQkk1DxRzKPGr2h1SfW51s+gt3TzM0jIiIiIiIikgmo+COZS50h0OQ/1ufr34aD883NIyIiIiIiIpLBqfgjmU/jEVBnqPX5T0Ph2Epz84iIiIiIiIhkYCr+SOZjsUDLj6BGHzDiYMkgOLPZ7FQiIiIiIiIiGZKKP5I5WSzQ/iuoGABxd2BhH7j4u9mpRERERERERDIcFX8k83JwhE7fQml/uBMF87pC8BGzU4mIiIiIiIhkKCr+SObm5ALd5kKxuhATBnM7wrUzZqcSERERERERyTBU/JHMzyUH9FoIvlXh5lWY8wyEXjI7lYiIiIiIiEiGoOKPZA1u3tB3OeQrC+F/wdwAiAwxO5WIiIiIiIiI6VT8kazDIx/0XQHexeCfMzC3E9wKNTuViIiIiIiIiKlU/JGsxbsw9FsBHvnhyhGY3w1u3zQ7lYiIiIiIiIhpVPyRrCdvKesUMDdvuPQ7LOgNd2PMTiUiIiIiIiJiChV/JGvyrQy9l4KzB5zbAksHQ+xds1OJiIiIiIiIPHYq/kjWVfQJ6DkfHF3g+CpY9SrExZmdSkREREREROSxUvFHsraSTaDLLLA4wsF5sGEUGIbZqUREREREREQeGxV/JOur0A4CvrE+/30a/Dre3DwiIiIiIiIij5HpxZ+///6bPn36kDdvXtzd3alSpQp79+61nTcMg/fff5+CBQvi7u6Ov78/p0+fNjGxZErVekCbidbnWyfAzq/NzSMiIiIiIiLymJha/Llx4wb169fH2dmZdevWcezYMT7//HNy585ta/Ppp5/y1VdfMW3aNH7//Xc8PDxo2bIl0dHRJiaXTOnJ56DZe9bnP78D++eYm0dERERERETkMbAYhnkLoIwcOZIdO3awbdu2RM8bhkGhQoV44403ePPNNwEICwujQIECzJ49mx49ejz0HuHh4Xh7exMWFoaXl1ea5pdMyDBg4/uw8yuwOECXmVCpo9mpRERERERERFIsuTUPU0f+rFy5ktq1a9O1a1fy589PjRo1+Pbbb23nAwMDCQ4Oxt/f33bM29ubp556il27diXaZ0xMDOHh4XYPERuLBVqMg1oDwIiDpc/B6U1mpxIRERERERFJN6YWf86dO8fUqVMpU6YMGzZsYMiQIbz66qt8//33AAQHBwNQoEABu+sKFChgO3e/8ePH4+3tbXsULVo0fd+EZD4WC7T9Aip3hrg7sLAPXNhpdioRERERERGRdOFk5s3j4uKoXbs2H3/8MQA1atTg6NGjTJs2jf79+6eqz1GjRjF8+HDb6/DwcBWAJCEHR8hT0vr87i2Y1dr6PG8ZeGUv3LgAX1ZN/Nqus5OeKmYYsOVj2P89RIdB0aeg3STIW+rfNlHXYd0IOLneOvWsYntoNQFcPa3nA7fB9+3AzRveOAXObv9e+/c++LaZ9fmYsFS/fREREREREck+TB35U7BgQSpWrGh3rEKFCly8eBEAX19fAK5cuWLX5sqVK7Zz93N1dcXLy8vuIZIoiyP4lIMiT1hfu+eGZ/5/S3jvItbCy72PJv8BF08o3SLpPndMht+nWws+z24GFw+Y2xHu3LNA+bLnIOQE9FsBvRZaRx2tei1hXy454cRq+2P754K3ipkiIiIiIiKSfKYWf+rXr8/Jkyftjp06dYrixYsD4Ofnh6+vL5s3b7adDw8P5/fff6du3bqPNatkUQ4u0GcZFKoBt27A4v7WUT8OjpCzgP3jxCqoFPDvCJ37GQbsngqN3oTybcG3MnScBhHB/xZxrp6EM5ugw1dQpDYUrwutP4OjSyE8yL6/6j3hwNx/X9+5BUeXQbWe6fJRiIiIiIiISNZkavFn2LBh7N69m48//pgzZ84wf/58/ve//zF06FAALBYLr7/+Oh9++CErV67kyJEj9OvXj0KFChEQEGBmdMkqrp+Fr5+Am9fA1QsiLsOcZ6wFm3tdPgDBR6BGv6T7unEeIq9AySb/HnPzthZ5/tpjfX3pD+uxwjX/bVOyiXX619977fur2gMu7ILQS9bXx1ZCrmJQsFoq36yIiIiIiIhkR6YWf5544gmWL1/Ojz/+SOXKlfnggw+YPHkyvXv3trUZMWIEr7zyCs8//zxPPPEEkZGRrF+/Hjc3twf0LJIMRWpDwDfQZym0n2xdA8jiCDcCrVO1oq7/23b/XMhXDoo9lXR/kSHWPz3z2x/38LEWhcD6p4eP/XlHJ+uUs8gr912XD8q0gIPzra8PzIUafVL8NkVERERERCR7M3XBZ4B27drRrl27JM9bLBbGjRvHuHHjHmMqyRbK3Lt2T2UoXBsmVbKOwgk5BvO6Qr+frFPAjiyBxm89/ow1+sC6t6FqN+vooW5ztDOZiIiIiIiIpIipI39EMhT3XJCvDFQMsI7E+XsvLOhpLfzciXr4WjvxI37iRwDFu3kVPAv8f5sC1tf3ir1rXW8ovs29SreAu9Gw8hUo2wpy5EnNOxMREREREZFsTMUfkXgxkXA9EApUsk4Fc/GEwN9g4/vWwotHvgdfn7uEtYATuPXfY9Hh8Nfef3cUK/qkdQv4ywf+bRO4FYw468ij+zk6QbUecH4b1Oj7yG9RREREREREsh8VfyT72vAOnN9u3d3r4u+wsLd1ileVLlC4FvRcYN0N7NZ1iAmDuLiEffy3NhxfZX1usUCdIfDbZ3BiLVz5E5a/CDl9ofz/T230KQel/WHlq/DXPri4G9a+BZU7g1fBxHM2fRfeOgelm6fP5yAiIiIiIiJZmulr/oiYJvwyLBlsLe7kyAfF6sCzm/4d4ePXEMq3gWMrrCOA1o2ANp9Zizzx/jltHd0Tr/7rcDsKVr1mHeFTrI51K3nnexYo7/StteAzp4N1faEKHaD1hKRzOrmAU960fOciIiIiIiKSjVgMwzDMDpGewsPD8fb2JiwsDC8vL7PjSGZ0ZAksfRYwoOGb0Pw9sxOJiIiIiIiIJLvmoWlfIg9TpQu0+8L6fNtE2PGluXlEREREREREUkDFH5HkqD0I/Mdan298H/bOMjePiIiIiIiISDKp+COSXA1ehwbDrc9XD7NOBxMRERERERHJ4FT8EUmJ5u9D7cGAActfgFMbzE4kIiIiIiIi8kAq/oikhMUCbSZClW4QdxcW9bNuFy8iIiIiIiKSQan4I5JSDg4Q8A2UawN3o2F+d/h7n9mpRERERERERBKl4o9Iajg6Q5dZUKIh3I6EHzpDyHGzU4mIiIiIiIgkoOKPSGo5u0HPH6FwLbh1A+YEwPVAs1OJiIiIiIiI2FHxR+RRuOaE3ksgf0WIDIa5ARAeBHGxELjNuiNY4DbraxERERERERETOJkdQCTTy5EH+i6Hma3gRiB81xyMWIgI/reNVyFoNQEqdjAvp4iIiIiIiGRLGvkjkhZy+kK/n8AtN4T/bV/4AetooEX94NhKc/KJiIiIiIhItqXij0ha8S5iXQg6UYb1j/UjNQVMREREREREHisVf0TSyoWdcDPkAQ0M66igCzsfWyQRERERERERFX9E0krklbRtJyIiIiIiIpIGVPwRSSueBdK2nYiIiIiIiEgaUPFHJK0Ur2fd1QtL0m1y5LO2ExEREREREXlMVPwRSSsOjtbt3IEkC0C3bsDhRY8tkoiIiIiIiIiKPyJpqWIH6DYHvAraH/cqBEXrgBELK16EXyeAYZiTUURERERERLIVJ7MDiGQ5FTtA+bbWXb0ir1jX+CleD7DAL+Ng+yT49WMIvQjtJz9ge3gRERERERGRR6fij0h6cHAEv4YJj/uPgVzFYM0bcPAH69bv3eaAm9djjygiIiIiIiLZg6Z9iTxutQdBz4Xg7AHntsCs1hD2t9mpREREREREJItS8UfEDGWfhoFrrVPCrhyF7/wh+IjZqURERERERCQLUvFHxCyFqsOzm8CnPERchpmt4cxms1OJiIiIiIhIFqPij4iZchWDQRugREO4HQHzusL+uWanEhERERERkSxExR8Rs7nngj7LoGp361bwK1+GXz7UVvAiIiIiIiKSJlT8EckInFyg43Ro9Jb19W+fwfIX4e5tc3OJiIiIiIhIpqfij0hGYbFAs3ehw9dgcYTDC+CHTnAr1OxkIiIiIiIikomp+COS0dTsC70XgYsnnN8GM1tC6EWzU4mIiIiIiEgmpeKPSEZU2h8GrYecheDqCetW8JcPmp1KREREREREMiEVf0QyKt8q1q3g81eCyCswqw2c+tnsVCIiIiIiIpLJqPgjkpF5F4ZB66BkE7hzE37sDntnmp1KREREREREMhEVf0QyOjdv6L0EqvcGIw5WD4NNYyAuzuxkIiIiIiIikgmo+COSGTg6wzNToOk71tfbJ8GyZ+FujLm5REREREREJMNT8Ucks7BYoPEICJgGDk5wdCnMCYCo62YnExERERERkQxMxR+RzKZ6T+izFFy94OJOmPE0XA80O5WIiIiIiIhkUCr+iGRGJZvAoA3gVQT+OQ0zWsDf+8xOJSIiIiIiIhmQij8imVWBitat4H2rwM2rMKstnFhrdioRERERERHJYFT8EcnMvArCwHVQ2h/u3oKFveH3/5mdSkRERERERDIQFX9EMjvXnNBzIdTsb90Kft1bsOEdbQUvIiIiIiIigIo/IlmDoxO0/xKav299vetrWDIA7twyNZaIiIiIiIiYT8UfkazCYoGGb0Cn78DRBY79BHOegZv/mJ1MRERERERETKTij0hWU7Ur9F0Obt5w6XeY4Q//nDU7lYiIiIiIiJhExR+RrKhEAxi8EXIVg+vnrFvBX/rD7FQiIiIiIiJiAhV/RLIqn3IweBMUrA5R/8D37a1TwURERERERCRbUfFHJCvLWQAGroWyreFuNCzqD7u+MTuViIiIiIiIPEYq/ohkdS4e0GMePPEsYMCGUbDubYiLNTuZiIiIiIiIPAYq/ohkBw6O0GYitPjA+vr3abCwL9yOMjeXiIiIiIiIpDsVf0SyC4sF6r8KXWaBoyucXAPft4PIq2YnExERERERkXSk4o9IdlO5E/RfCe654e991q3gr502O5WIiIiIiIikExV/RLKjYnWsO4HlLgE3zlu3gr+wy+xUIiIiIiIikg5U/BHJrvKVthaACteGWzdgzjNwdKnZqURERERERCSNqfgjkp15+kD/VVC+HcTGwJJBsH0yGIbZyURERERERCSNqPgjkt255IBuc+CpIdbXm0bDmjcg9q65uURERERERCRNqPgjItat4Ft/Aq0+ASywdwYs6AUxkWYnExERERERkUek4o+I/KvOEOg+F5zc4PQGmN0GIq6YnUpEREREREQegYo/ImKvQnvovxpy5IWgQ/CdP4ScMDuViIiIiIiIpJKKPyKSUNEn4NlNkKcUhF2EmU9D4DazU4mIiIiIiEgqqPgjIonLUxIGb4SiT0F0GMztCIcXmZ1KREREREREUkjFHxFJmkde6PcTVAyAuDuw7Dn47TNtBS8iIiIiIpKJqPgjIg/m7A5dZkG9V6yvf/kQVr0KsXfMzSUiIiIiIiLJouKPiDycgwM8/SG0mQgWB9g/B+Z3h5gIs5OJiIiIiIjIQ6j4IyLJ9+Rz0GM+OOeAs5thVmsIv2x2KhEREREREXkAFX9EJGXKtYYBa8DDB4KPWLeCv/Kn2alEREREREQkCSr+iEjKFa5p3Qo+X1kI/xtmtoJzv5qdSkRERERERBKh4o+IpE7uEjBoAxSvDzHh8ENnODjf7FQiIiIiIiJyHxV/RCT1cuSBvsuhcheIuwsrhsCvn2greBERERERkQzE1OLPmDFjsFgsdo/y5cvbzkdHRzN06FDy5s2Lp6cnnTt35sqVKyYmFpEEnFyh07fQYLj19a/j4aehcPe2ublEREREREQEyAAjfypVqkRQUJDtsX37dtu5YcOGsWrVKhYvXszWrVu5fPkynTp1MjGtiCTKwQH8R0O7yWBxhIPzYF4XiA4zO5mIiIiIiEi252R6ACcnfH19ExwPCwtjxowZzJ8/n2bNmgEwa9YsKlSowO7du6lTp87jjioiD1N7IHgXgUX9IXCrdSHo3outx0RERERERMQUpo/8OX36NIUKFaJkyZL07t2bixcvArBv3z7u3LmDv7+/rW358uUpVqwYu3btMiuuiDxMmRYwcC14+kLIMetW8EGHzU4lIiIiIiKSbZla/HnqqaeYPXs269evZ+rUqQQGBtKwYUMiIiIIDg7GxcWFXLly2V1ToEABgoODk+wzJiaG8PBwu4eIPGaFqlu3gvepABFBMKs1nN5kdioREREREZFsydTiT+vWrenatStVq1alZcuWrF27ltDQUBYtWpTqPsePH4+3t7ftUbRo0TRMLCLJlqsoDFoPJRrC7UiY3w32fW92KhERERERkWzH9Glf98qVKxdly5blzJkz+Pr6cvv2bUJDQ+3aXLlyJdE1guKNGjWKsLAw2+PSpUvpnFpEkuSeC/osg6o9wIiFVa/C5g+0FbyIiIiIiMhjlKGKP5GRkZw9e5aCBQtSq1YtnJ2d2bx5s+38yZMnuXjxInXr1k2yD1dXV7y8vOweImIiJxfoOA0av219vW0iLHse7saYm0tERERERCSbMHW3rzfffJP27dtTvHhxLl++zOjRo3F0dKRnz554e3szePBghg8fTp48efDy8uKVV16hbt262ulLJLOxWKDpf8C7KKx+HY4ssq4F1H0uuOc2O52IiIiIiEiWZmrx56+//qJnz578888/+Pj40KBBA3bv3o2Pjw8AkyZNwsHBgc6dOxMTE0PLli355ptvzIwsIo+iZl/wKmTdCv78NpjR0roVfO7iZicTERERERHJsiyGkbUX3wgPD8fb25uwsDBNARPJKIKPwryuEHEZPPJD70VQqIbZqURERERERDKV5NY8MtSaPyKSTfhWtm4FX6Ay3AyBWW3g5HqzU4mIiIiIiGRJKv6IiDm8C8PAdVCqGdyJggU9Yc93ZqcSERERERHJclT8ERHzuHlBr0VQow8YcbDmDdj4PsTFmZ1MREREREQky1DxR0TM5egMHb6Gpu9aX+/4EpYOhjvR5uYSERERERHJIlT8ERHzWSzQ+C3oOB0cnOHPZTA3AKKum51MREREREQk01PxR0Qyjmo9oM9ScPWGi7tgRgu4Hmh2KhERERERkUxNxR8RyVhKNobBG8C7KPxzBr7zh7/2mp1KREREREQk01LxR0QynvwVrFvB+1aFqGswux2cWGN2KhERERERkUxJxR8RyZhy+lq3gi/dAu7eggW9Yfc0+zbbvoAx3rBu5L/HZrW1Hrv3ser1B99ry3j4b234qCB8Ugy+75BwtNHlgzDnGRhfDCaUgJWvQkzkv+dvXLDea2xuCL9sf21EMIzNYz1/40IKPwgREREREZFHo+KPiGRcrp7QcwHUGggYsP5tWP8f61bwf++DfbOgQOWE19XsD2+c+vfRYtyD75O3NLT5DIbshEEbIFcxmNsRbl6zng8PshZ+8pSE5zZb1yW6egJWDEnYV85CcOhH+2MH54NXoVR9BCIiIiIiIo9KxR8RydgcnaDdJPAfY329ewos7AVLn4X2X4FbroTXOOeAnAX+fbh5PfgeVbtCqaaQx8865azlxxATDleOWs+fWm/dkr7N55CvDBSuZc10fCX8c9a+r+o94cA8+2MH50G1nql59yIiIiIiIo9MxR8RyfgsFmgwDDrPAEcXOLkObt8E3yqJtz+yCCb4wZQ6sGkM3I5K/r3u3oZ9s607jhX4//5jb1vv63DPX5lObtY/L+62v75ca4gOhQu7rK8v7IJboVCuVfIziIiIiIiIpCEnswOIiCRblS5w9RRs+wwir1h3AsuRJ2GbXEUhZ0G48idsHA3XTkOPeYn3Ge/kelgyCO5EWdcb6rccPPJaz/k1gg3/gR1fwlND4M5Na1EJIDLYvh8HZ6jaHQ78AMXrWv+s2t16XERERERExAQa+SMimUfYX7BvJnT7wbouz41ACDpkXVA5Xu2BUNofClSCqt2g4zQ4sRqun3tw334N4cVtMHgjlG4OiwdA5FXrufwVIGAa7PwaPvKFiWUhd3HwyA+WRP4ardEHjq2AiCvWP2v0SaMPQEREREREJOVU/BGRzOPyQbh5FRb1hbC/rcfi7sKx5dZdtuJiE15TpLb1z4cVf1w8IG8pKPoEPDMFHJzgwJx/z1ftCm+dhjdOwIhAaDLKug197hIJ+ypQybo20NLBkK8sFKiYmncrIiIiIiKSJlT8EZHMo2RjGLILXtxufTz7i3VtHgAjDnZPBcOwvyb4iPVPT9+U3cuIs67/cz/P/NZdyI4us677U7Jp4tfX6APnt2nUj4iIiIiImE5r/ohI5uGaM+EoGt/KEB1m3Znr53fgz+XQ+lPwyGdd82fDKChe39ou3n9rg/9oqNDeunD0bxOhXBvrzmBR/8Af31m3d68U8O81v/8Pij4JLp5wbgv8/J51BzL3XIlnrTkAKnYEN++0/QxERERERERSSMUfEcnkLFCiAVTrAT+/C3/vhZktrWvxeBeGCh2g0Vv2l/xzGqLD//9yR7h2Cg79aC38uOeBwjVh0DrrWj/x/t4Hv35sLRblKwvtJ1vvmRRHp38XjBYRERERETGRxTDunyORtYSHh+Pt7U1YWBheXl5mxxGR9PTnClj2PMTGQKGa0GuhdZqWiIiIiIhIFpTcmofW/BGRrKNSAPRfaR29c3m/dSv4q6fMTiUiIiIiImIqFX9EJGspVgee3QS5/SD0AsxoAed3mJ1KRERERETENCr+iEjWk7eUtQBU5AmIDoW5AXBkidmpRERERERETKHij4hkTR75oP8qKN8OYm/D0sGwfVLCreBFRERERESyOBV/RCTrcnaHbnOgzkvW15vGwOphEHvX1FgiIiIiIiKPk4o/IpK1OThCq/HQagJggX2zYEFPiIk0O5mIiIiIiMhjoeKPiGQPdV6E7j+Akzuc/hlmt4GIYLNTiYiIiIiIpDsVf0Qk+6jQDgashhz5IOiQdSv4kONmpxIREREREUlXKv6ISPZSpDY8uxHylIKwSzCjJQT+BnGxELjNuitY4DbraxERERERkSzAYhhZe+ub8PBwvL29CQsLw8vLy+w4IpJRRF2HH3vCpd1gcQRXL4i+8e95r0LWdYIqdjAvo4iIiIiIyAMkt+aRqpE/d+7c4dKlS5w8eZLr16+nOqSIiGly5IF+P0HRJ8GItS/8AIQHwaJ+cGylOflERERERETSSLKLPxEREUydOpXGjRvj5eVFiRIlqFChAj4+PhQvXpznnnuOPXv2pGdWEZG05egMYX8lcfL/B0WuH6kpYCIiIiIikqklq/jzxRdfUKJECWbNmoW/vz8rVqzg4MGDnDp1il27djF69Gju3r3L008/TatWrTh9+nR65xYReXQXdkL45Qc0MCD8b2s7ERERERGRTMopOY327NnDb7/9RqVKlRI9/+STTzJo0CCmTZvGrFmz2LZtG2XKlEnToCIiaS7yStq2ExERERERyYCSVfz58ccfk9WZq6srL7744iMFEhF5bDwLpG07ERERERGRDOiRt3oPDw9nxYoVHD9+PC3yiIg8PsXrWXf1wpJ0G6/C1nYiIiIiIiKZVIqLP926dePrr78G4NatW9SuXZtu3bpRtWpVli5dmuYBRUTSjYOjdTt3IMkCUI3e1nYiIiIiIiKZVIqLP7/99hsNGzYEYPny5RiGQWhoKF999RUffvhhmgcUEUlXFTtAtzngVdD+uIuH9c8D8+BW6GOPJSIiIiIiklZSXPwJCwsjT548AKxfv57OnTuTI0cO2rZtq12+RCRzqtgBXj8K/VdD5xnWP4efgDwlrbt9rR9ldkIREREREZFUS3Hxp2jRouzatYubN2+yfv16nn76aQBu3LiBm5tbmgcUEXksHBzBryFU6WL9080LAqaBxQEOzYcTa8xOKCIiIiIikiopLv68/vrr9O7dmyJFilCoUCGaNGkCWKeDValSJa3ziYiYp9hTUO8V6/NVr8HNa+bmERERERERSQWLYRhGSi/au3cvly5dokWLFnh6egKwZs0acuXKRf369dM85KMIDw/H29ubsLAwvLy8zI4jIpnN3RiY3hiuHocK/78+kOUBu4OJiIiIiIg8JsmteaSq+JOZqPgjIo/s8kH4rjnE3YVO30HVrmYnEhERERERSXbNwymlHcfGxjJ79mw2b95MSEgIcXFxdud/+eWXlKcVEcnIClWHRiPg149h7RtQokHC3cFEREREREQyqBQXf1577TVmz55N27ZtqVy5MhZNfxCR7KDhcDi1Di4fgJWvQO/Fmv4lIiIiIiKZQoqnfeXLl485c+bQpk2b9MqUpjTtS0TSTMgJmN4IYmOg/ZdQa4DZiUREREREJBtLbs0jxbt9ubi4ULp06UcKJyKSKeUvD83ftz7f8A7cOG9qHBERERERkeRIcfHnjTfe4MsvvySLrxMtIpK4OkOgWD24HQkrhsJ9656JiIiIiIhkNCle82f79u1s2bKFdevWUalSJZydne3OL1u2LM3CiYhkOA6OEPANTK0PF7bD79Og7ktmpxIREREREUlSios/uXLlomPHjumRRUQkc8jjBy0/hNXDYPNYKO0PPmXNTiUiIiIiIpKoFC/4nNlowWcRSReGAT90grO/QOFaMOhncExxPV1ERERERCTV0m3B53hXr15l+/btbN++natXr6a2GxGRzMligQ5fg6s3/L0PdkwyO5GIiIiIiEiiUlz8uXnzJoMGDaJgwYI0atSIRo0aUahQIQYPHkxUVFR6ZBQRyZi8C0Obz6zPf50AQYfNzSMiIiIiIpKIFBd/hg8fztatW1m1ahWhoaGEhoby008/sXXrVt544430yCgiknFV7Qbl20HcHVj+ItyNMTuRiIiIiIiInRSv+ZMvXz6WLFlCkyZN7I5v2bKFbt26ZbgpYFrzR0TSXeRV+KYORF2DBsPBf7TZiUREREREJBtItzV/oqKiKFCgQILj+fPn17QvEcmePH2g3f+v+bNjMlzaY2ocERERERGRe6W4+FO3bl1Gjx5NdHS07ditW7cYO3YsdevWTdNwIiKZRsUOULU7GHGw4kW4rWK4iIiIiIhkDCnel/jLL7+kZcuWFClShGrVqgFw6NAh3Nzc2LBhQ5oHFBHJNFpPgMBt8M8Z2DzW+lpERERERMRkKV7zB6xTv+bNm8eJEycAqFChAr1798bd3T3NAz4qrfkjIo/VmU3wQ2fr8/6rwK+RuXlERERERCTLSm7NI1XFn8xExR8ReexWvQ77ZoF3MRiyA9z0d4+IiIiIiKS95NY8kjXta+XKlbRu3RpnZ2dWrlz5wLYdOnRIWVIRkazm6Q/h7C8QegE2/Aee+drsRCIiIiIiko0la+SPg4MDwcHB5M+fHweHpNeItlgsxMbGpmnAR6WRPyJiivM7YHZbwIBei6BsS7MTiYiIiIhIFpOmW73HxcWRP39+2/OkHhmt8CMiYpoS9aHuUOvzla9A1HVz84iIiIiISLaV4q3eRUQkmZq9B/nKQeQVWPum2WlERERERCSbStaaP1999VWyO3z11VdTHUZEJEtxdoOO0+A7fzi6FMq3g8qdzE4lIiIiIiLZTLLW/PHz80teZxYL586de+RQaUlr/oiI6bZ8DFsngHtueOl3yFnA7EQiIiIiIpIFpOluX4GBgWkWTEQk22n4JpxcB8GHYdWr0HMBWCxmpxIRERERkWxCa/6IiKQ3JxfoOB0cXeDUejg4z+xEIiIiIiKSjSRr5M/w4cOT3eEXX3yR6jAiIllWgYrQ9B3YNBrWjQS/RpCrmNmpREREREQkG0hW8efAgQPJ6syiaQwiIkmr9wqcWAN//QE/DYW+P4GDBmCKiIiIiEj6StaCz5mZFnwWkQzln7MwrQHciYLWn8FTz5udSEREREREMqnk1jz0n5xFRB6nvKWgxTjr843vW4tBIiIiIiIi6ShZ0746derE7Nmz8fLyolOnTg9su2zZsjQJJiKSZdUeDMdXQeBWWP4iDFoPDo5mpxIRERERkSwqWSN/vL29bev5eHt7P/CRWp988gkWi4XXX3/ddiw6OpqhQ4eSN29ePD096dy5M1euXEn1PUREMgQHB3hmCrh6Wdf/2fmV2YlERERERCQLyxBr/uzZs4du3brh5eVF06ZNmTx5MgBDhgxhzZo1zJ49G29vb15++WUcHBzYsWNHsvvWmj8ikmEdmAc/vWTdAv75X6FAJbMTiYiIiIhIJpJp1vyJjIykd+/efPvtt+TOndt2PCwsjBkzZvDFF1/QrFkzatWqxaxZs9i5cye7d+82MbGISBqp3gvKtobY27D8Bbh72+xEIiIiIiKSBSVrzR+AZs2aJavdL7/8kqIAQ4cOpW3btvj7+/Phhx/aju/bt487d+7g7+9vO1a+fHmKFSvGrl27qFOnTqL9xcTEEBMTY3sdHh6eojwiIo+NxQLtv4RvfofgI/DbZ9DsHbNTiYiIiIhIFpPs4s+vv/5K8eLFadu2Lc7Ozmly8wULFrB//3727NmT4FxwcDAuLi7kypXL7niBAgUIDg5Oss/x48czduzYNMknIpLuchaAdl/A4gGw7XMo1woK1zI7lYiIiIiIZCHJLv5MmDCBWbNmsXjxYnr37s2gQYOoXLlyqm986dIlXnvtNTZu3Iibm1uq+7nfqFGjGD58uO11eHg4RYsWTbP+RUTSXKWO1t2/ji617v71wm/g7G52KhERERERySKSvebPW2+9xbFjx1ixYgURERHUr1+fJ598kmnTpqVqatW+ffsICQmhZs2aODk54eTkxNatW/nqq69wcnKiQIEC3L59m9DQULvrrly5gq+vb5L9urq64uXlZfcQEcnw2kwEzwJw7RT88uHD24uIiIiIiCRTihd8rlu3Lt9++y1BQUEMHTqUmTNnUqhQoRQXgJo3b86RI0c4ePCg7VG7dm169+5te+7s7MzmzZtt15w8eZKLFy9St27dlMYWEcnYcuSBDl9bn++aAue3m5tHRERERESyjGRP+7rf/v372bp1K8ePH6dy5copXgcoZ86cCaaNeXh4kDdvXtvxwYMHM3z4cPLkyYOXlxevvPIKdevWTXKxZxGRTK3s01CzH+yfAytegiE7wDWn2alERERERCSTS9HIn8uXL/Pxxx9TtmxZunTpQp48efj999/ZvXs37u5pvz7FpEmTaNeuHZ07d6ZRo0b4+vqybNmyNL+PiEiG8fRH4F0MQi/Az++ZnUZERERERLIAi2EYRnIatmnThi1btvD0008zaNAg2rZti5NTqgcOPTbh4eF4e3sTFham9X9EJHMI/A2+b2993nsplPE3N4+IiIiIiGRIya15JLv44+DgQMGCBcmfPz8WiyXJdvv370952nSk4o+IZErrRsLvUyFnQXhpF7jnNjuRiIiIiIhkMMmteSR76M7o0aPTJJiIiCRD8/fhzEb45wysHQGdvzU7kYiIiIiIZFLJHvmTWWnkj4hkWpf2wMynwYiDbnOg4jNmJxIRERERkQwkuTWPFG/1LiIij0nRJ6DBMOvz1cMg8qq5eUREREREJFNS8UdEJCNr/DYUqAxR/8Dq1yFrD9YUEREREZF0oOKPiEhG5uQKHaeBgzOcWA2HF5qdSEREREREMhkVf0REMjrfKtBkpPX52hEQ9re5eUREREREJFNR8UdEJDOo/zoUrg0xYbDyZU3/EhERERGRZEv2Vu/32rx5M5s3byYkJIS4uDi7czNnzkyTYCIicg9HJ+v0r2kN4OwvsHcmPDHY7FQiIiIiIpIJpHjkz9ixY3n66afZvHkz165d48aNG3YPERFJJ/nKgP8Y6/Of34Pr50yNIyIiIiIimYPFMFI2d6BgwYJ8+umn9O3bN70ypank7nkvIpIpxMXBnA5wfhsUqwsD1oCDo9mpRERERETEBMmteaR45M/t27epV6/eI4UTEZFUcnCAZ6aAiydc3AW7vzE7kYiIiIiIZHApLv48++yzzJ8/Pz2yiIhIcuQuDi0/tj7f/AGEHDc3j4iIiIiIZGgpXvA5Ojqa//3vf2zatImqVavi7Oxsd/6LL75Is3AiIpKEmv3g+Co4sxGWvwjPbgJH54dfJyIiIiIi2U6Kiz+HDx+mevXqABw9etTunMViSZNQIiLyEBYLdPgvfFMHgg7Cti+gydtmpxIRERERkQwoxQs+ZzZa8FlEsrQjS2DpYHBwso7+KVTD7EQiIiIiIvKYpNuCzyIikoFU7gwVAyDuLiwfAneizU4kIiIiIiIZTLKmfXXq1InZs2fj5eVFp06dHth22bJlaRJMRESSwWKBtl/AhR1w9Tj8+jG0GGd2KhERERERyUCSVfzx9va2refj7e2droFERCSFPPJC+69gQU/Y8RWUawPF6pidSkREREREMgit+SMiklWseAkOzoPcfjBkB7h4mJ1IRERERETSkdb8ERHJblqNB68icCMQNr5vdhoREREREckgklX8adWqFbt3735ou4iICCZMmMCUKVMeOZiIiKSQmzc887X1+Z7v4Owv5uYREREREZEMIVlr/nTt2pXOnTvj7e1N+/btqV27NoUKFcLNzY0bN25w7Ngxtm/fztq1a2nbti2fffZZeucWEZHElGoKTzwHe76Fn16Gl3ZZi0IiIiIiIpJtJXvNn5iYGBYvXszChQvZvn07YWFh1g4sFipWrEjLli0ZPHgwFSpUSNfAKaU1f0Qk27l9E6Y1gOvnoFov6DjV7EQiIiIiIpIOklvzSPWCz2FhYdy6dYu8efPi7Oyc6qDpTcUfEcmWLv4Os1qBEQc95kP5tmYnEhERERGRNJbuCz57e3vj6+uboQs/IiLZVrGnoN4r1uerXoOb/5ibR0RERERETKPdvkREsqom/wGfCnDzKqwZBqkb6CkiIiIiIplcshZ8loebu/sC83Zf4K8btwAoU8CTV5uXoWm5/IRG3WbSxlNsO32Nv0NvkdfDhacr+TL86bJ4uSU9cupqRAyfrDvBttNXCY++w5N+eRnboRJ++TwStDUMgwGz9rD11FWm961Fy0q+AFy6HkXDT7fgYIGdI5vj6+1muyYkPJq6n/xCbJzBthFNKZonRxp/KiJiKmc36DgNvmsOx36Co0uhShezU4mIiIiIyGOmkT9ppKCXG2+3Ks+qVxqw8uX61CuVl+fn7OXUlQiuhMdwJTyG/7SpwM/DGjGxazW2nrrK20sOJ9mfYRg8P3cvl65H8W2/2qx5tSGFc7nT57vfibp9N0H7GdsDsViSzufr5cbS/X/ZHVuy/y98vdySuEJEsoRC1aHRCOvzNW9AeJCpcURERERE5PFT8SeN+FcsQNPy+fHL50FJH0/ealmeHC5OHLh4g3K+OZnWtxb+FQtQPK8H9Urn482ny7H5eAh3Y+MS7S/w2k0OXAzlw46VqVY0F6V8PPkooDLRd2JZefCyXds/L4fx3bZAPu1SNcl8nWsVYcm++4o/e/+ic83Cj/7mRSRjazgcClaH6FBY+Yqmf4mIiIiIZDOpKv6Ehoby3XffMWrUKK5fvw7A/v37+fvvv9M0XGYVG2ew8tBlbt2OpWax3Im2iYi+g6ebE06OiX8Ft/+/KOTq9O95BwcLLk4O7Dl/w3bs1u1YXltwkHHPVCJ/zqRH8fhXKEDYrTvsOW/9vvacv07YrTs0r1Agxe9PRDIZR2foOB0cXeHMRtg/x+xEIiIiIiLyGKW4+HP48GHKli3LhAkTmDhxIqGhoQAsW7aMUaNGpXW+TOVEcDgV319P2XfX8c7yI0zvW4syBXImaHf95m3++8sZej5ZNMm+Svl4UjiXO5+uP0lY1B1u341j6q9nCQqLJiQi2tZu3Opj1CqWm6f/f42fpDg5WgioXphFey4BsGjPJQJqFMbJ8QFzxUQk68hfHpq/Z32+4T9w47ypcURERERE5PFJcfFn+PDhDBgwgNOnT+Pm9u9IkzZt2vDbb7+labjMpmQ+T9a+2pAVL9WnT53ivLH4EKevRNi1iYi+w8DZeyid35PX/csm2ZezowPT+tTi3LWbVBv3MxXeX8+uc//QpJwPDv+/uM/GY1fYdfYa77evmKx83Z4owtojQYRERLP2SBDdaiddfBKRLKjOS1CsHtyOhBVDIS7xaaciIiIiIpK1pHi3rz179jB9+vQExwsXLkxwcHCahMqsXJwcKPH/O3FVKeLN4b9CmbnjPOM7VQEgMuYu/Wf+gaerI9P71sI5iSlf8aoU8Wbdaw0Jj77Dnbtx5PV05ZkpO6ha2BuAnWevceF6FFXH/mx33ZAf9vFEiTwsfKGu3fHyvl6Uyu/Jqz8eoHR+T8r55uTPy2Fp9fZFJKNzcISAKTC1AVzYDn9MhzpDzE4lIiIiIiLpLMXFH1dXV8LDwxMcP3XqFD4+PmkSKquIi4Pbd63/ZT0i+g79Zv6Bi6MD3/V7Ajdnx2T3E78dfOC1mxz5K5Q3WlhHDA1pUooeTxSza9ty8m+8164i/kms5dO1dlHeW3GUDwMqp+YtiUhml6ckPP0BrBkOm8ZAqebgk/QoRBERERERyfxSPO2rQ4cOjBs3jjt37gBgsVi4ePEib7/9Np07d07zgJnFhPUn+P3cP1y6HsWJ4HAmrD/B7sB/CKhRiIjoO/Sd8Qe3bsfyaZeqRMTcISTCunZPbNy/u+40+/xX1h/9d/TUmsNB7Dr7Dxf/ieLnP4Pp893vPF3Rl0ZlrUW2/DndKOeb0+4BUCiXO0Xz5Eg0Z88nirL/vRb0eEJTvkSyrdqDoFQzuBsNK16E2LtmJxIRERERkXSU4pE/n3/+OV26dCF//vzcunWLxo0bExwcTN26dfnoo4/SI2Om8E9kDMMXHeJqRAw53ZwoXzAncwY9ScMyPuw6+w8HL4UC0PizX+2u2zaiqa1Qc+7qTSKi79jOhURE8+GaY1yLjCF/Tjc61SzMK83KPFJOJ0cH8ni4PFIfIpLJWSzQ4Wv4pi78vQ92TIJGb5mdSkRERERE0onFMAzj4c0S2r59O4cPHyYyMpKaNWvi7++f1tnSRHh4ON7e3oSFheHl5WV2HBGRjOPQAlj+Ajg4w3O/QMGqZicSEREREZEUSG7NI9XFn8xCxR8RkSQYBizsAydWQ4HK1gKQk6vZqUREREREJJmSW/NI8bSvcePGPfD8+++/n9IuRUTEDBYLtJsMF3fBlaPw6yfgP9rsVCIiIiIiksZSPPKnRo0adq/v3LlDYGAgTk5OlCpViv3796dpwEelkT8iIg9xbCUs6gsWBxj0MxR9wuxEIiIiIiKSDOk28ufAgQOJ3mzAgAF07Ngxpd2JiIjZKnaAqt3h8ELr7l8vbAOXxHcMFBERERGRzCfFW70nxsvLi7Fjx/Lee++lRXciIvK4tZ4AOQvBP2dg81iz04iIiIiISBpKk+IPQFhYGGFhYWnVnYiIPE7uueGZ/1qf/z4NAn8zN4+IiIiIiKSZFE/7+uqrr+xeG4ZBUFAQc+fOpXXr1mkWTEREHrPS/lBrIOybBSuGwpAd4Ka10kREREREMrsUL/js5+dn99rBwQEfHx+aNWvGqFGjyJkzZ5oGfFRa8FlEJAViImBqfQi9ADX6wjNfm51IRERERESSkG4LPgcGBj5SMEmZ2DiDPwKvExIRTf6cbjzplwdHB4vZsUQkq3LNCQFTYXZbODAXKrSHsi3NTiUiIiIiIo8gxcUfeXzWHw1i7KpjBIVF244V9HZjdPuKtKpc0MRkIpKllagPdYfCrq9h5Svw0m7IkcfsVCIiIiIikkopXvD55s2bvPfee9SrV4/SpUtTsmRJu4ekjfVHgxjyw367wg9AcFg0Q37Yz/qjQSYlE5Fsodm7kK8cRF6BtW+anUZERERERB5Bikf+PPvss2zdupW+fftSsGBBLBZNQUprsXEGY1cdI7HFmAzAAoxddYwWFX01BUxE0oezO3ScCt+1gKNLoXw7qNzJ7FQiIiIiIpIKKS7+rFu3jjVr1lC/fv30yCPAH4HXE4z4uZcBBIVF80fgdeqWyvv4golI9lK4FjR8A377FNa8AcXrQ84CZqcSEREREZEUSvG0r9y5c5Mnj9Z+SE8hEUkXflLTTkQk1Rq9Bb5V4dZ1WPUqpGyDSBERERERyQBSXPz54IMPeP/994mKikqPPALkz+mWrHbBYdEY+oeYiKQnJxfoOA0cXeDUejg43+xEIiIiIiKSQhYjhdWDGjVqcPbsWQzDoESJEjg7O9ud379/f5oGfFTJ3fM+I4mNM2gw4RdrcechbWsWy8Xr/mVpWCaf1l8SkfSzfRJsGgOuXjBkJ+QqanYiEREREZFsL7k1jxSv+RMQEPAouSQZHB0sjG5fkSE/7McCdgWg+NfNy+dn+5lr7L8YSr+Zf6gIJCLpq96rcGIt/PUH/PQS9P0JHFI8eFREREREREyQ4pE/mU1mHPkTb/3RIMauOma3+HNBbzdGt69Iq8oFCYmIZvrWc/yw+wIxd+MAqFU8N6/7l6FBaRWBRCSN/XMWptaHu7eg9Wfw1PNmJxIRERERydaSW/NIVfEnNDSUJUuWcPbsWd566y3y5MnD/v37KVCgAIULF36k4GktMxd/wDoF7I/A64RERJM/pxtP+uVJsL27ikAi8tj8/j9Y9xY4ucOQHZC3lNmJRERERESyrXQr/hw+fBh/f3+8vb05f/48J0+epGTJkrz77rtcvHiROXPmPHL4tJTZiz8pERIezbSt55j3u4pAIpJO4uJgbgAEboUiT8Kg9eDgaHYqEREREZFsKbk1jxQv2DB8+HAGDBjA6dOncXP7d1eqNm3a8Ntvv6UuraSJ/F5uvN++IttGNGVQfT9cnRzYd+EGfWf8QZdpu9h2+qp2BxORR+PgAM9MsS78/NcfsPMrsxOJiIiIiMhDpLj4s2fPHl544YUExwsXLkxwcHCahJJHoyKQiKSrXEWh1SfW51s+hit/mptHREREREQeKMXFH1dXV8LDwxMcP3XqFD4+PmkSStLGg4pAXaftYvvpayoCiUjqVO8FZVtD7G1Y/iLcvW12IhERERERSUKKiz8dOnRg3Lhx3LlzBwCLxcLFixd5++236dy5c5oHlEeXWBFo74Ub9Jnxu4pAIpI6Fgu0/xLc80DwYfjtM7MTiYiIiIhIElK84HNYWBhdunRh7969REREUKhQIYKDg6lbty5r167Fw8MjvbKmSnZa8Dm5QsKjmbr1LPN/v2hbGLp28dy87l+W+qXzamFoEUm+P5fD4gFgcYRnN0LhWmYnEhERERHJNtJ1q3eA7du3c/jwYSIjI6lZsyb+/v6pDpueVPxJWnwRaN7vF7mtIpCIpNaSQXB0KeQrCy/8Bs7uZicSEREREckW0q34c+nSJYoWLfrIAR8XFX8e7kp4NNPuKwI9UcJaBKpXSkUgEXmIqOvwTR2IvAJ1X4aWH5mdSEREREQkW0i34o+joyMNGjSgT58+dOnShdy5cz9y2PSk4k/yqQgkIql2agPM7wZYYMAaKFHf7EQiIiIiIllecmseKV7wee/evTz55JOMGzeOggULEhAQwJIlS4iJiXmkwGK+Al5ujG5fiW0jmjKwfglcnBzYc/4Gvb/7nW7Td7HjjBaGFpEklG0JNfoCBqwYAjERZicSEREREZH/l+o1fwzD4Ndff2X+/PksXbqUuLg4OnXqxMyZM9M64yPRyJ/UuxIezdRfzzL/D40EEpFkiA6HqfUh7CLUGgjtJ5udSEREREQkS0v3BZ/vtX//fgYPHszhw4eJjY191O7SlIo/j05FIBFJtsDf4Pv21ud9lkLpjLkZgIiIiIhIVpBu077i/fXXX3z66adUr16dJ598Ek9PT6ZMmZLa7iQDK+DlxpgO1ulgA+rZTwfrPn03OzUdTETi+TWCp160Pv/pZbh1w9w8IiIiIiKS8pE/06dPZ/78+ezYsYPy5cvTu3dvevXqRfHixdMr4yPRyJ+0l9hIoCdL5OF1/zLU1UggEbkdBdMbwj9noGp36PQ/sxOJiIiIiGRJ6Tby58MPP+Spp55i3759HD16lFGjRqW68DN16lSqVq2Kl5cXXl5e1K1bl3Xr1tnOR0dHM3ToUPLmzYunpyedO3fmypUrqbqXpJ34kUC/vfXvSKA/zl+nl0YCiQiASw4ImAYWBzi8EI6tNDuRiIiIiEi2luKRP4ZhpNnIjlWrVuHo6EiZMmUwDIPvv/+ezz77jAMHDlCpUiWGDBnCmjVrmD17Nt7e3rz88ss4ODiwY8eOZN9DI3/SX3CYdYt4jQQSETubxsL2LyBHXnjpd/D0MTuRiIiIiEiWkq4LPm/bto3p06dz9uxZlixZQuHChZk7dy5+fn40aPB/7N11eFTX2sbh38TdlSS4Bnen0EKhQo220Ja6Unc536meupzqqVEvNUqpIKW0UFrcobgHkhAsIe4z8/2xYkMSCBIm8ty95kpm7zU7a2Jlnqz1voNOauIhISG88sorXHrppYSHh/P1119z6aWXArB582Y6dOjA4sWL6devX42up/Dn9KkyBGpREgK1VAgk0ugUF8DEM2H/emh/PoydBPo9ICIiIiJyytTatq8ffviBkSNH4u3tzerVqykoKAAgIyOD559//oQnbLVa+fbbb8nJyaF///6sXLmSoqIihg8v7xTTvn17mjZtyuLFi6u9TkFBAZmZmQ43OT2iAqvYDrYrjSsnLmXsh0tYtEPbwUQaFTdPuPh9cHGHzdPNFjARERERETntTqjmz/vvv8/EiRNxd3cvOz5w4EBWrVp13BNYt24dfn5+eHp6ctttt/Hjjz8SHx/Pvn378PDwICgoyGF8ZGQk+/btq/Z6L7zwAoGBgWW3uLi4456TnByFQCJSJqozDH3EvD/zYchIdu58REREREQaoeMOf7Zs2cKQIUMqHQ8MDCQ9Pf24J9CuXTvWrFnD0qVLmTBhAtdeey0bN2487uuUeuyxx8jIyCi7JSYmnvC15ORUDIGu7d8MD1eFQCKN0sD7IKYnFGTAL3eCfu5FRERERE6r4w5/oqKi2L59e6XjCxYsoGXLlsc9AQ8PD1q3bk3Pnj154YUX6Nq1K2+++SZRUVEUFhZWCpT2799PVFRUtdfz9PQs6x5WehPnigr04ukLO/H3w9WHQCLSgLm6me5fbl6wYy6s+MTZMxIRERERaVSOO/y5+eabueeee1i6dCkWi4W9e/fy1Vdf8eCDDzJhwoSTnpDNZqOgoICePXvi7u7OnDlzys5t2bKFPXv20L9//5P+OHL6HTUE+mAxi3ekOnuKIlJbwtvC8KfM+7Mfh7SdTp2OiEidMf81+HAoPB8DL7eCb66EQ9sqj0tcBp+dD89Fw/Ox8Mk5UJRX/XVtVpj7LLzRGZ6NhDe7wl8vV7/6ctq98FQgLH7X8fhTgeaWuNzxeHEBvNTcnNs1/ziesIiIOIPb8T7g0UcfxWazcdZZZ5Gbm8uQIUPw9PTkwQcf5K677jquaz322GOcc845NG3alKysLL7++mvmzZvHb7/9RmBgIDfeeCP3338/ISEhBAQEcNddd9G/f/8ad/qSuqk0BLptaCven7eDb5YlsnRXGldMXELfFiHcO7wt/VuFOnuaInKq9bkVNk2H3Qvgp9vhuhng4ursWYmIOFfCQuh9M8T0AFsxzHkGvrwY7lgKHr5mTOIymDQGBt0H574CLm6wbx1YjvJ33AWvw/KPTeH98PawdzX8fAd4BkC/2xzHbpoGSSvAP7rqawXEwppJENfb8TEefpB3+OSev4iInBYn1OodoLCwkO3bt5OdnU18fDx+fn7k5eXh7e1d42vceOONzJkzh5SUFAIDA+nSpQuPPPIII0aMACA/P58HHniAb775hoKCAkaOHMm777571G1fR1Kr97ovJSOvLAQqtJoW8QqBRBqowwnw3kAozIazn4UBx/dHAxGRBi/nELzSCq6bCc0HmmMTz4JWw+DMf9f8Ol9dDn7hcOH/yo99Nx7cvGHMxPJjmXvN9a+eah7TbwL0v738/FOBMOQhWPoBPLgV3Ev+rf/FRRDbG/5+Ga6dDi0Gn/BTFhGRE1drrd5LeXh4EB8fT58+fXB3d+e///0vLVq0OK5rfPzxxyQkJFBQUMCBAwf4448/yoIfAC8vL/73v/+RlpZGTk4OU6dOPa7gR+qH6EBvnr6wE389PJRrSraDla4E0nYwkQYmuDmMfN68P+c/cGCzU6cjIlLn5GeYt97B5m32QUheAb7h8NEIeKU1fHou7F589OvE9YGdf8Ohklqd+9bBniXQpvzf2thsMPUWGHg3RHSo/lrR3SCoKWz8xdxPT4Tdi6DruBN6iiIicvrVeNtXQUEBTz31FL///jseHh48/PDDXHTRRXz66af83//9H66urtx33321OVdp4KIDvXnmwk5MGNqK9+bt4Nta3g72vz+389uGfew4kI2Xuys9mgXz6DntaRXu5zBu5e7DvPrbFtYkpuPqYiE+OoAvbuyDl3vV21Vqct3dqTk8N2MTK3YfprDYxhltw3nqgo6E+3uWjWn+6AwApt4+gB5Ng8uOFxRb6fv8HNJzi/jm5n5aHSX1T49rzHaB7b/Dj7fCTX+Aq7uzZyUi4nw2G8x6DOL6QWS8OXY4wbyd94JZMRnVGdZ+C19cALcvgdBWVV9r0P1QkAXv9DJbbG1WOOtx6HJ5+ZiFr5stZH1vq/oaFXUfD6u/hK5jYc3XJkTy0b9BRETqixqv/HniiSd47733aN68OQkJCVx22WXccsstvP766/z3v/8lISGBRx55pDbnKo1EaQhU1UqgcR+eupVAS3elcXW/Zvx4x0C+vLEvxVYb13y8jNzC4rIxK3cf5rpPljG4bRg/3zmQn+8cyDUDmmGxnPh1cwuLufrjZVgs8PXNfZkyoT+FVhs3fb4cm81xF2aTQC++X5HkcOy3Dfvx9Tjucl0idYfFAhe8DV5BkLIG5v/X2TMSEakbZj4ABzbBpRW6ItrNlnh6Xm8CmOiuMOoFCG1jwpjqbJgK676HMR/BrX+b2j+L3jbBDZgaQEveh4ve46j/sCnVZSwkLYe0XbDmK+h+9Yk/TxEROe1qHP58//33fPHFF0yZMoXZs2djtVopLi5m7dq1jBs3DldXFe2UU6uqEGjJzvIQaMnOkwuBvrihD5f1iqNtpD/xTQJ49bKuJKfnsS4po2zMf6Zv5LqBzbl9aGvaRvrTKtyP87s0wdOt+u/3Y113RcJhkg7n8uplXWkfFUD7qABeu7wr/yRnsOiIYGtMz1imr91LfpG17Nj3KxIZ0yPmpJ67iNMFRMN5r5n3/34Z9q5x6nRERJxuxoOw9Te4bhoEVvj/vH+keRve3nF8eFvIcPwDkYPfnzAFojtfCpEdzRatfneUB+67F0POQXi9IzwdYm4Ze2D2/8HrnStfzycE2o6EX+4ynb4qbh8TEZE6r8bhT1JSEj179gSgU6dOeHp6ct9992GpyV8KRE5CdSHQuA9PTQhUKivfrMwJ8vEA4FB2AWsS0wn19eCSdxfS69nfufyDxSxPSDup6xYW27BYLHi4lf/4ebq54GKxVLp2p5hAYoK9+XV9CgDJ6Xks3ZXGxT1iT+xJitQlncZA/IWmu82Pt0FRvrNnJCJy+tntJvjZPB2unWZqo1UU1Mx04Uo9ov176nYIjKv+ukW5lVf0uLiUryTqOg4mLILbFpTf/KNhwN2m+HNVul8NCfPNY9WtUUSkXqnx3hGr1YqHh0f5A93c8PPzO8ojRE6t0hDotjNMTaDvlieWhUD9WpqaQP1antjec5vNzjPTN9KrWTDtovwB2JOWC8Abc7bxr3M7EB8dwNRVyVw1cSm/3TeEFmG+J3Td7k2D8HF35cVfN/PwyPbYsfPSr5ux2uwcyCqodI3Le8UxeXkSF3ePZcqKJIa1CyfE16PSOJE6a/5rpsbPoW3g5gVxfWHE0xDWBs573RQNPbgJnot0fFzP62H0G9VftyAb/ngKNs+AvDTzAqnvrdD7RsdxictM6+TklWBxNfUyrp5a3rHmqUDz9sY/HNsYFxfAa+1MG2N1shGR2jLjAVg3Ba742rROz9pvjnsFmN9TFosJZOa9AJGdSmr+fGN+p17+Rfl1Ph8N7UdD31vM/bbnwN+vmYAovD3s+wcW/89sHQOzkscnxHEuLu7gF2l+P1el9XB4aCd4+p/az4GIiNS6Goc/drud6667Dk9PU5A2Pz+f2267DV9fxxfAU6dW85cCkVOkSZA3/7movDB0xRCof8tQ7hne5rhDoMd/Xs+WfVlMmdC/7JjdburvXNmnKZf3Mn9Z6xQTyKIdh5i8IpFHRrWv8lrHum6onyf/u6oH//5pPZ8tSsDFYuGCrk3oFBOASxUL6S7uHsNLszazJzWXKasSeWp0x+N6biJOl7AQet8MMT3MKp85z8CXF8MdS8E3FEa/Bd9eYcaO+9aMg/Jwpjq//Qt2/Q2XfGi60OyYa15E+UdD+3PNmMRlMGmM2fpw7iumsOm+dWA5YuFrQCysmeQY/myaZl6I5R0+NZ8HEZGqrPjYvP3sPMfjF74L3a8y7/e/HYrzze+9vMMmBLr6JwhpWT4+LQFyK6yGPvdlmPuc+b2YcxD8o0yofsZJ1Oi0WMzvbRERqXdqHP5ce+21DvfHjx9/yicjcjyqCoEW70xl8Yep9G8Zyr3D29C3BiHQEz+vZ+7mA0y+tT/RgeUvNiP8vQBoE+m4wq1VhB970/NO+LoAQ9qG8/fDw0jLKcTVxUKgtzu9nv2D0V18Kl0n2NeDszpE8PAPaykosjG0XQTZBcWVxonUWUduH7joPXillanz03ygCWp8IyDnAPz2GExYCB7HXllH4jLodmX5ipxe18PKT80Kn9LwZ9ZjZjXQ4PvLH1fVX7S7XQFLP4BRL5aHTqsnQdcrTE0iEZHa8lTGsceA+T1W8XfZke5b53jf0x/OedHcaurIaxxrft5BNZ+/iIg4VY3Dn08//bQ25yFywk40BLLb7Tz5ywZ+27CPb2/pT1yIY/ASG+xNZIAnOw/mOBzfdTCHoe3Cq53Psa5bUen2rUXbD5GaU8Dw+Mgqx13WK47rP13ObWe0wrWq5UEi9Ul+yQsF7+DyYyEtIfcQHN5lio/2vA6GPAwe1f/8ENcHtsw0Wxj8o00ditQdMPIFcz77ICSvMG2NPxphrh3WFs58HJr1d7xWdDezemjjL6aNcXqi2Y523msKf0RERESk3qtxwWeRuq40BJr30FCu7mcKQy/emcrYD5dwxYdLWHpEYejHf17Pj6uTeXNcd3w9XTmQlc+BrPyyzloWi4VbhrTis4UJzFyXQsKhHF6bvYUdB7MZ27u8wOKVE5fw+aKEGl8XYPKKRFbtOczu1Bx+XJ3E7V+v4saBLWgVXnUdraFtw1n1+AjuH9H2FH7GRJzAZjOrceL6QWR8+fGu40woA2ZLw6ovYOrNR7/Wua+YOhb/7QD/CTPbu8591awmAjicYN7OewF6XgvjfzAtkr+4wIRER+o+vrxt8pqvTScbH21vEBEREZH6r8Yrf0Tqi4orgd6dt73alUCTluwBYNyHSxwe/8qlXbispMbPjYNaUFBs5T/TN5KeW0SHaH8m3dSXZqHlW1J2p+aSllNYdr8m1915MIeXZ20hI6+Q2GAf7hzWmhsHtaj2OVksFhV5loZh5gNwYBPcMMvxeK/rzdvMZFj+EWAxnW/SdjrWtKho6QeQtByu+NYUNN29CGY+aOpatBpW3tGm5/XlBU6ju8LOv0zIM/wpx+t1GWsKSKftgjVfwTla8SMiIiIiDYPFXlrVtoHKzMwkMDCQjIwMAgICnD0dcYK96XllIVCR1Xy7D2gVyj1n1awmkIicIjMeNNu0rp9ZuZVxqcIceG+g2aIFZrVO6+GVxxXlwQtxMO4raDuy/PjPd0LmXlNn6HACvNkVLv7QbOUq9f11pvDzmI/M/acCYexX0OF8mHwN5KaZLjr3b4SCLHipmbp9iYiIiEidVNPMQ9u+pMFrEuTNsxd1Zt5DwxjfrynurhYW7TDbwa6cuIRlu9KcPUWRhs1uN8HP5ulw7bTqgx8whZ4vfr/8/qFtVY+zFoGtqHLXLhfX8hU/Qc1MLaDUI66Rut2sFKpK96tN7aCu48y1REREREQaAIU/0mjEVBMCXf7BYoVAIrVpxgPwz2Sz0sbDD7L2m1tRSde8tJ3w18uwdzUc3m1W3ngFmnPzX4Ocknpdb/cy7dcBvAKg2SCY/Tjsmm9W+az+CtZ+a1bwgGlJPOBusz1sw0+mzs/cZ02g1OPqqufaejg8tBOG/V9tfTZERERERE471fyRRqc0BJowtDXv/rmdySsSWbQjlUU7FjOgVSj3Dm9LnxYhzp6mSMOx4mPz9rPzHI9f+C50vwpcPWDnPFjyLhTmQmAMdBsP236H1K0w4z647HOzgic/s/zxl34Cc542haHzDpvVPGc+Dr1uLB/T/3Yozoff/mXGRHaCq3+qvo6QxQK+2g4qIiIiIg2Lav5Io5ecnlcWApXWBBrYOpR7zlIIJOJUe9fAR2eBrRjGfAydL3X2jERERERE6pSaZh4Kf0RKKAQSqYPmvQTzngevILh9CQREO3tGIiL1h81qOiFm7we/SGg2QPXMREQaGIU/JRT+yPGqLgS6d3hbejdXCCRyWlmL4KPhkLIGWo+Aq743W7NEROToNv4Csx4xHRBLBTSBUS9B/AXOm5eIiJxSCn9KKPyRE6UQSKSOOLAZPhgC1gIY/Rb0vNbZMxIRqds2/gKTrwGO/Gd+SXh++RcKgEREGgiFPyUU/sjJSjqcy7vzdvC9QiAR51n0Nsz+t+kWNmERBDdz9oxEROommxXe6OS44seBxawAunedtoCJiDQANc081Opd5Bhig314/uLO/PngUK7sa1rEL9yeymXvL2b8R0tZnlC5RbzVZmfxjlR+XpPM4h2pWG0NOmMVqX39boemA6AwG366HWw2Z89IRKTusRbBkveOEvwA2CEz2dQCEhGRRkMrf0SOU1UrgQa1DuPe4W3o1TyEWetTeHraRlIy8sseEx3oxZOj4xnVScVqRU5Y2k54bxAU5cCoF6HfBGfPSETE+QqyYPsfsHkmbPsN8jNq9jh1URQRaRC07auEwh+pLVWFQO2j/Nm8L6vS2NLytO+N76EASORkLP8YZtwPbl5w2wIIa+PsGYmInH5Z+2DLTBP47PoLrIXl5zwDoCDz2Ne4djq0GFx7cxQRkdNC4U8JhT9S20pDoMnL91B8lJ0oFiAq0IsFj5yJq4u6FYmcELsdJl0CO+ZCTE+4YTa4ujl7ViIitctuh4ObYfMME/okr3Q8H9IS2p0L7c+DmF7wVlfITKFywecSATGq+SMi0kDUNPPQv5hFTlJpTaB+LUO4+5s11Y6zAykZ+SzblUb/VqGnbX4iDYrFAhe8A+/2Ny9+FvwXmvaH7P3gFwnNBujFjIg0DDYrJC41gc/mGXB4l+P5mF7Q/lxodx6EtzO/H0uNeqmk25eFKgOgrlfod6WISCOj8EfkFKnpGrrvlu8h2NeddpH+WCxaASRy3AJj4NyX4cdb4c/nHM8FNDEvetTCWETqo8Jcs7Jxy0zYOgtyU8vPuXpAizNM4NP2HAg4yjby+AtMO/dZjzgWf3b3NXXTlk+E7leZFUMiItIoKPwROUUi/L1qNO6nNXv5ac1eIvw9GdQ6jMFtwxjYOqzGjxcRwN276uOZKeav3Zd/oQBIROqH7IMm6NkyE3b8CcV55ee8gqDtSLOlq/VZ4Olf8+vGX2C2ge1eVL46MqYnfHEBJC2Hb8fDTb+Dh+8pf0oiIlL3qOaPyClitdkZ9NJc9mXkV7fDngAvN7rFBbEsIY38IscCQe2j/BncJoxBbcLp0zwEbw8txxapks0Kb3Q6Sitji1kBpHoWIlJXpe6AzdNNwebEpThszQpsalb3tD/PbGt1dT+1HztzL3xwBuQcgE6XwpiPHLeMiYhIvaKCzyUU/sjpNGt9ChMmrQIcd9gf2e2roNjKyt2Hmb/tEAu2HWL93gyHbWMebi70bh7M4DbhDGodRnx0AC4qEi1i7JoPn59/7HHjf4DWw2t/PiIix2KzmTplW2aYwOfQFsfz0V1N7Z7250Jkp9oPY3Yvgs9Hg60YRr4A/W+v3Y8nIiK1RuFPCYU/crrNWp/C09M2kpKRX3YsOtCLJ0fHV9vmPS2nkIXbDzF/20EWbDvE3gqPBQj19WBg6zAGtQljcJswogOr2fIi0hismwI/3HjscRY3aDEIWg6DVsMgsjO4uNT+/EREAIryTRv2zTPMtq7s/eXnXNyg+SAT+LQ7B4LiTv/8lrxvagJZXOHaX8x8RESk3lH4U0LhjziD1WZn2a40DmTlE+HvRZ8WITVu726329l5KIf5Ww+yYPshFu9IJafQ6jCmdYQfg0uCoL4tQvH1VPkuaURquvLnSD5h0HKoCYJaDjOFo0VETqXcNNg22wQ+2+eY4sqlPPyhzQiznav1cPAOcto0AdOp4sdb4Z/vwDccbvlLvxdFROohhT8lFP5IfVdktbF6Tzrztx1k/rZD/JOUjq3CT627q4UeTYNLwqBwOsUE1jhoqo/+9+d2ftuwjx0HsvFyd6VHs2AePac9rcL9AEjPLeT137cyf9shktPzCPX14OyOUdx/dlsCvI5eN2H7gSxe/HUzS3emUWyz0ybSj/fG9yQmyKy0OpCVzwszNzN/2yFyCoppGe7LncNac07n8hVdzR+dAcDU2wfQo2lw2fGCYit9n59Dem4R39zcj/6tQk/1p6bxKKv5k0KVLYxLa/5cNQV2/Q07/4SEBVCY7TgsrG35qqDmg46vkKpIXTX/Ndg0DQ5tAzcviOsLI56GsDbmfG4azHvBdJTKSDKhaPvz4Mz/A6/A6q/7VDXnRjwDA+8x7389Dvatg5yDJthoORSGP13elao0uPUKhAe2gnuFRgfJK2HimSUfK+NkPgOn3+Hdpljz5hlmO5W9wh9s/JuYlT3tz4Xmg8HN03nzrEphLnx8NuxfZ4pBX/9r3ZujiIgcVU0zDy0XEKnj3F1d6NMihD4tQnjg7HZk5BaxaMch5pdsE0tMy2PprjSW7krj1dlbCfJxZ2Ars0VsUOsw4kJ8nP0UTqmlu9K4ul8zusYFUWy188pvm7nm42X8fv8QfDzc2J9ZwP7MAv51bgfaRPqRfDiP//tpPfsz83lvfM9qr7s7NYdL31/M2F5x3Du8Lf5ebmzdn42nW/k2oQcmryUzr4iPru1FiI8HP69J5o6vV/HLnYPoFFP+wqhJoBffr0hyCH9+27AfXw830nOLaucT05i4uJp27pOvwVTUqqLC1qgXITLe3PrdBsWFkLzCdNLZMRf2roJDW81t2QdmC0Zsn/JVQU26g6v+Fyn1UMJC6H0zxPQw9VzmPANfXgx3LDVdnbL2QVYKnP0shLeD9ESYfp85NvbL6q/7wFbH+9t/h5/vhA4Vuuq1GAyDHwD/SBPOzv63+Tm96XfHx3r4m2LHnS8tP7bqSwiMg4zEk/8c1Da7HVLWmNo9W2bC/vWO5yM6mrCn3bnmd0ldLqbs4WO+7h8ONQHcrw/D6DedPSsREakFWvkjUs/tTs1h/jYTBC3akUpWfrHD+RZhvqalfJsw+rcKxf8Yq1/qm9TsAno++wff3dKPvi2rXk0z458U7vtuDRufGYmba9U1X+78ehXuri68PrZbtR8r/olZPHtRJy7pEVt2rNszs3l0VHvG9WkKmJU/d53Zms8WJrD838Pxcjfdpq7+eCnd44J4a+52rfw5VTb+YupVVOz6FRBjgp9jtXnPO2xWIez80wRCh3c5nvcMhJZDylcGhbQ89fMXOR1yDsErreC6mdB8YNVjNvwIU2+Bf6XUPPT85koozIJrp1U/ZvNM+PZKePyg6VhVuvJnyEOm1fg1P5txRXnwajvoeyv8/XLdXPlTXAi7F5QHPpnJ5ecsLtB0QHngE9LCefM8Udv/gEmXAnYY/Rb0vNbZMxIRkRrSyh+RRqJZqC/NQn0Z368ZxVYba5MyWFASBq1OTGfXoRx2HcrhyyW7cXWx0D0uqKRwdDhdYwOrDUPqi9KwK8jH4yhjivDzcqv2udpsdv7cfIBbz2jF1R8vZePeTGJDfLh9aCtGdowqG9ezWTDT/0nhzPYRBHi5M31dCgVFNvodETp1igkkJtibX9encHH3WJLTzeqsZy7sxFtzt5+CZy2ACXjan2e2WWTvB79IaDagZu3dvYPN40tDorRd5UHQrr8gP8NsndlU8sI2qFn5qqAWQ8AnpPaeV11RG9uHrEUw9z+w7Xc4nACeASVbg56qvDWoKjfPNVtTGur2odqQX/I58A4+yphMs+2xpsFP9gHY9htc9H71Y3LTYN1k831zZKvyLuNg4Vtm1VFQnAlyg5qajld1SX6G+V7dMtO8LcgsP+fuA63PMgWb246s/78TWg+HM/9tfj5nPmg6jsVWv1pWRETqH4U/Ig2Im6sLPZsF07NZMPcMb0NWfhFLdqaVdRHbeSiHFbsPs2L3Yd74Yxv+Xm70bxnK4LbhDG4dRrNQHyx1eXn6EWw2O89M30ivZsG0i6q6XktaTiFvz93OFX2q76RyKKeAnEIr783bwQNnt+XRc9rz19aD3DZpJd/c3K8s3Hnnyh7c+fUquj3zO24uFrzdXfng6p40D/OtdM3Le8UxeXkSF3ePZcqKJIa1CyfEt/qASk6Qi6vZanKyQlqYW68bTE2hvWtMqLHzT0hcBum7YeVn5mZxMVs5SlcFxfYBtwb4ta2N7UNFuZCy1qz8iOoMeelm9dY34+DWv8yYuL6Vtxj9+Szs/Aua9HA8Xt+3D9U2mw1mPQZx/cwWyKrkpMLfr0DP62p+3TVfg4cfdBhd+dzvT8CyieZrHdsbrpxceYxvmCl8vOZrGPoIrP4Suo+v+cevTRnJJuzZMtOEjLYKW3V9I6DdKBP4tDwD3BtY581B98Pe1eZnavLVpgC0X7izZyUiIqeIwh+RBszfy50R8ZGMiI8EIOlwbsmqoEMs3HGI9NwiZm/cz+yNpv1sXIg3g1qHM6RNGANahRHoU7e3iD3+83q27MtiyoT+VZ7Pyi/i+s+W0zrCj3uHt632OqWbX0fER3LTYLO9p2OTQFbtPsxXS/eUhT//nb2FzPxivrqpL8E+HszeuI87vl7F97f1p32U4xLLi7vH8NKszexJzWXKqkSeGt3xFDxjOS1cXM1fvGN7whkPQUE27F5oVgXt/BMObjarS5JXwvxXwd3XFIwuXRkU3q5u1/ioqaunOt6/6D2zfWjvGrN9KDIexk4qPx/SEs563GwfshZXvYrEK7B8q0+pc18xK3VKV4G4eZiaMaWsRWarTd9bK39eu11hgoPS8KcoD9ZPLd8+1NjNfAAObIIbZlV9Pj8Tvr7MfM8Ofazm1109Cbpc7rjiqtSAe6D7NZCxB+a9ZLpJXTm58teu+3j49RFznaTlcPkXZhXf6Wa3w4GNpljz5hmmlk9FoW3Mirb250FML3Cp36tlj8rFxfycT9wCqdtgyvVw9U+qfyYi0kDot7lIIxIb7MO4Pk0Z16cpVpudDXszyuoFrdx9mMS0PL5Ztodvlu3BxQKdY4MYUlI4unvTYDzc6s4/ep/4eT1zNx9g8q39iQ6s/NfX7IJirv1kGX6eZnWO+1G2twX7eODmYqFNhJ/D8VYRfqxIOAyY2kqfL97N7PuG0DbSrDKKbxLA8oQ0vli8m+cv7ux4TV8PzuoQwcM/rKWgyMbQdhFkFzjWY5J6wtPPbOtoO9Lcz0iGnfNMELRznulstO03cwPT3aespfxQ8ItwzrxPtdrYPlT6GCzVbxXbMhPy0qDbVZXP1ZftQ84w40HY+htcP7Pq9t0FWTBpjFnBM/aryluzqrN7kQkGLvu06vO+oeYW1hrC2sHr8SbcievjOK71CCi+B365C9qOOr3bpqzFsGdxeYeu9N0VTlrMXNudawKf0m2OjYVXAIz7ygSyCfPhjydh5HPOnpWIiJwCCn9EGilXFwtdYoPoEhvEHcNak1NQzLJdafxdskVs24Fs1iamszYxnbfnbsfXw5V+LUPL6gW1Cvd1yhYxu93Ok79s4LcN+/j2lv5VdjPLyi/imk+W4eHqwkfX9C4rulwdDzcXusQGsvNQjsPxXQdzytq85xWZ1r0uRzxlF4uF6urmX9Yrjus/Xc5tZ7TC9cgHSv0VGAPdrzI3mw0ObDBbxHb8aV5QZu2FtV+bG0BkZ2g11KwKajagfm4Vqa3tQ0X55sVl50vNi86qrPoSWp1VdYBRl7cPOYvdDjMfMlt3rpsBwc0rj8nPhEmXgKsnXPFt1St4qrPqS4juZrbtHXMuNvO2uKDyOVc36DoOFr4JV/1Q849/ogqyYcccs4ps22+m6HspNy8T1LY/zwRRDSWwPVHh7cwKoMlXw+J3zDbXilsrRUSkXlL4IyIA+Hq6Max9BMPam3/07svIN7WCth9iwbZDpOYUMmfzAeZsPgBAdKAXg9uEMahNOINah522ejaP/7yen9fsZeI1vfD1dOVAVj4AAV7ueLm7kpVfxNUfLyO/yMobV3cjq6CIrAJTsyHU17MshDnztXk8PLI9ozqZgs63DGnFXd+sok+LEPq3DOWvrQeZs/kA397SD4BW4X40D/XhX1PX86/zOhDs487sDftZsP0Qn1zbu8q5Dm0bzqrHR+DnqV+1DZaLi3kRHNUZBt5jwow9i8uLR+/7B/avM7dFb5sX2836l9cLiuxcP7aR1Mb2IWsRfH+dCSvO+2/VYzKSzQv2yz6r/jp1ZftQXTHjAVg3Ba4oqcuTZbb14hVggsf8TFO7qSgPxn1oVgAVZJkxvmHlBdPf7gXDn3Ss65OfCRt/MnWejpS0ApJXQdN+4B1kiqj/+RwEt6i86qfUsH+bbWK1teonaz9s/dUEPjvngbVCCOUdYoKe9udCqzNNHSspF3+BqQG04L9mdVZEB4jU9mURkfpMr0hEpEpRgV5c1iuOy3rFYbPZ2bQvs6xe0LKENFIy8pm8IonJK5KwWKBjk4CyekE9mwfj6VaDjksnYNKSPQCM+3CJw/FXLu3CZb3iWJ+cyZrEdADOeGWew5j5Dw8rWym082AOWfnlhTxHdYriuYs68+687Tz1ywZahvvx3lU96N3cvChxd3Xh0+v78NKvm7np8+XkFFhpFurDa5d1LQvMjmSxWFTkubFx9zKhTqthMALIPmi6h5XWC8os3TI2z6x48QkzhWNLw6DAWCc/gSrUxvah0uAnI9G0Cq9u1c+ar8yL9HbnVn8tZ24fqotWfGzefnae4/EL3zWr1VLWQvIKc+yt7o5j7vkHgpuZ91O3lWzJq2D9Dyasq2oViLs3bPoF5j0PhbmmblPr4Sa4c/Oseq5uHuAWWvW5E3VwK2wpqd+TtAKosDIzuLkp1tz+vJIuZPpn8FGd+W9TAHrnn/DtVXDLn0ff9ikiInWaxV7dfoUGoqY970Wk5vKLrCzblcaC7Yf4e+tBNu/Lcjjv5e5C3xahDC7ZItY20q9edRETqRV2u2mbXtpFLGEBFGY7jglrWx4ENR9k6uc4y5Hbh0JbVR5TcfvQVd+DR+VtmJWUBj+pO+C66Wa1SXUf/82uZuXJkTVHSlu9P7LbrDL5/Yny7UNthsOm6fDdVWr13hjYrGbF1+YZpoZP6nbH8016mNU97c4zq1f0/6Ljk5sGH5xhCni3ORuu+K5+rFYUEWlEapp5KPwRkZN2ICufhdsPlRSPPsTBLMf6DhH+niW1gsIY2DqMCP/jqC8h0lAVF5oVGKWrgpJXltdIAXBxM23kS7uINel+elcqTL+/fPtQaIWit1VuH5pkup6Vqm77kLUIJl9jVp9c+Z1pnV3KO9isBCm1cx58cSHcsRzCj+jWd2T4U1xoViD5hJgX9wp/GraiPPP9sXkGbJ1liq6XcnGHFkPM6p5250BAE6dNs8FIWQsfnw3F+XDGozDsODrDiYhIrVP4U0Lhj8jpZbfb2bo/m/nbDjJ/2yGW7kolv8jmMKZ9lH/ZqqA+LUKOWZBZpFHIO2xCjdJ6QYd3OZ73DIQWg0u2lZ1pWqvXpqeq6b5Vun2oNICpSsXtQ08Flj/m8G54s0vVj7l2unl+pabcaLaF3Ti78tgjw58jKfxpeHJSTdCzZaZZPVeUW37OMxDanm22B7YeXv02Qjlxa7+FH28171/xrQnWRESkTlD4U0Lhj4hzFRRbWZlwmPnbTUv5DXszqfhbx8PNhT7NQxhU0lI+PjoAF3XGEjEFc0uDoF1/lbdaLxXUrHxVUIshqnUjDU/aTlOsectMU0i94sq4gNiS7Vznmi2SNW1VLydu5kOw7EPwDIBb5lW9FVRERE47hT8lFP6I1C1pOYUlW8RMS/m9GfkO50N9PRjYOqxsZVBUoLaIiWCzwt41sHMu7JgHiUvBVl6wHIuL2RZWWi8oto/jFiqR+sBmg5TVZjvX5plwcJPj+ajOJQWbz4WoLqrfc7oVF8LnoyFxCYR3gJv+AE8/Z89KRKTRU/hTQuGPSN1lt9vZcTCHBSVbxJbsTCWn0Oowpk2EX1m9oL4tQvFV23QRKMiG3QvL6wUd3Ox43t0Xmg8028NaDjMt2PVCWeqi4gKzjW/LDNjyK2SllJ+zuJrv43Yl9XtKtxKK82TtMwWgs/dBx4vh0k/1u0VExMkU/pRQ+CNSfxQW21iTmF5WL+ifpHRsFX5Dubta6NE0mCFtwxnUOoxOMYG4aouYCGTuLQ+Cds5zLIAL4B9dviqo5VDwi6jqKiKnR95h2Pa7WeGzfQ4UVugY6eFn6va0Pw/ajFBr8bpoz1L47Dyz+nDEf2Dg3c6ekYhIo6bwp4TCH5H6KyO3iEU7DpXVC0pMy3M4H+TjzsBWYWUrg2KDa9BmWqShs9ngwAYTBu2Ya2qlFDturySyU3m9oGYDTPcukdqUnmhq92yeYVat2YrLz/lFmZU97c8z9avcPJ03T6mZZRNh5oNmy+nVP0HLM5w9IxGRRkvhTwmFPyINx+7UHP7edogF2w6yaHsqWQXFDudbhPkyuKRwdP9Wofh7qQCoCEX5JgAqLR697x/H866e0LSf2SLWahhEdgYXF+fMVeoumxV2L4Ls/eAXaUJDl6N0arTbYd+6ksBnunm/ovAOJQWbzzP1qvQ9V7/Y7fDzHbDmK/AJhVv+gqA4Z89KRKRRUvhTQuGPSMNUbLWxNimDBdvMqqDVielYK+wRc3Wx0D0uqGRVUDhdYwNxc63+xYXVZmfZrjQOZOUT4e9FnxYh2lImDVP2QdM9rHSbWGay43mfMPNX/NJtYoGxzpmn1B0bf4FZj5jthaUCmsColyD+gvJj1iKzqmfzTFO/J2NP+TmLC8T1K+/QpU5R9V9RHnwyElLWQnQ3uOE3cFeTBhGR003hTwmFPyKNQ2Z+EUt2pLJg+yHmbzvErkM5Duf9vdwY0CqUQW3CGdImjGahvmXnZq1P4elpG0mp0HksOtCLJ0fHM6pT9Gl7DiKnnd0Oh7aVrAqaCwkLoDDbcUxom/JVQc0Hgae/c+YqzrHxF5h8DXDkPxdLwvFLPgBXDxP4bPsN8jPKh7h5m++d9udB25HgG3a6Zi2nS/oeUwA6Lw26jYcL31EBaBGR00zhTwmFPyKNU9Lh3JJVQYdYuOMQ6blFDufjQrwZ1Docf09XJs7fVd3LGt4b30MBkDQe1iJIWl6+Kih5Jdht5edd3CC2d8mqoDPNdh1XdeBrsGxWeKOT44qfY/EJg3ajzHaulkPBQ7XYGrwdf8KkS8zvivP+C71vdPaMREQaFYU/JRT+iIjVZmd9cgYLth/i760HWbXnMEXWY//qswBRgV4seORMbQGTxikvHXb9XV4v6PAux/OegdBisFkV1OpMCGlZs+seb/0YOTl2u2mpXpxnakAV55n7RXmmGHh1bw9shjWTjn19/ybQ+VKzwie2t76WjdGCN+CPJ8HFHa6fCXF9nD0jEZFGQ+FPCYU/InKknIJilu1K47sVe5i1fv8xx39zcz/6two9DTMTqeMOJ5R3Edv1l+MWH4CgZuVdxFoMAZ+Qyteoaf2YhsxadOzgpSivcmBT5duajM2n8ratU+iSj6DLZbV3fan77Hb4/lrY+DP4R5sC0P6Rzp6ViEijoPCnhMIfEanOz2uSuefbNccc9+a4blzYLab2JyRSn9issHcN7JwLO+ZB4lKwVdxeaTHbwkpXBcX2ga2zjl4/5vIvTn8AZLNWDl6K848RuFQRrlQZ4FQz1m49vc+xIouLqcXj7lXhbcnN3bvkbcm5/HTYNvvY17x2ulkBJo1bQRZ8NBwOboamA+DaX8BVXTdFRGpbTTMPbdQXkUYrwr9mXUlqOk6kUXFxhdie5jbkISjINp2eSusFHdwMe1eZ2/zXwM0HsFL1ChQ7YIFZj5qgyFpYgxClhluXqg10Ss7ZiqqYz2nk5g1unhWCl+reeh3H2JJxlUIeb/NivKYFectq/qRQ9dfNYlZtNRtwKj8jUl95+sPYSTDxTNizCGb/G855ydmzEhGREgp/RKTR6tMihOhAL/Zl5B91Q8T8bQfV+l3kWDz9TEentiPN/cy9sHOe2SK2cx7kHDzGBeym7fwLTlxl5+rhuBrmeEKVKh9ztLEl5+tyZyQXV7Mdb/I1mNVZFX9Tlsx71Iuq8SPlwtrAxe/Dt1fC0vehSQ/oOtbZsxIREbTtS0QauVnrU5gwaRVQ+WVNxftD2obz5thuBPt6nM7piTQMNhssfAPmPF3zx7i4HWV7UjVhSlXhSo1WyXiZsQoxqlZlnaYYE/w0ljpNcnzmPgt/v2J+Dm+cDdFdnD0jEZEGSzV/Sij8EZFjmbU+haenbSQlI7/sWHSgF0+Ojqeg2MYjP/xDfpGN2GBv3h/fk04xgU6crUg9tWs+fH7+scddORlanaUW8nWNOrTJ8bBZ4euxsP13Uwj+lnlVF4AXEZGTpvCnhMIfEakJq83Osl1pHMjKJ8Lfy2Gb16aUTG6btJLdqbl4urnw7EWduKxXnJNnLFLP1LR+zL3rFCqINAS5aTBxmOkS2OosuOp7/WyLiNSCmmYeLqdxTiIidZari4X+rUK5sFsM/VuFOtT36RAdwC93DuKs9hEUFNt4aMo//OvHdRQUO7Fjj0h9U1o/BiirF1NG9WNEGhyfEFMA2s0bdsyBP5939oxERBo1hT8iIjUQ6O3OxGt6cf+Itlgs8PXSPYz9YAkpGXnOnppI/RF/gWnnHhDteDygiXPavItI7YrqDBe8bd6f/ypsmu7c+YiINGLa9iUicpz+3HKAe79dQ0ZeEaG+Hrx9ZXcGtApz9rRE6g/VjxFpXGY9BkveBQ9/uHkuhLd19oxERBoM1fwpofBHRGrDntRcbpu0ko0pmbi6WHhkVDtuHtwSS11u2ywiIuIM1iL44iLYvQDC2poAyNPf2bMSEWkQVPNHRKQWNQ314YcJA7ikRwxWm53nZ27mzq9Xk11Q7OypiYiI1C2u7nDZp+DfBA5thZ8mQMP++7OISJ2j8EdE5AR5e7jy2mVd+c+FHXF3tTBjXQoX/W8hOw5mO3tqIiIidYtfBIz9Elw9YNM0WPC6s2ckItKoKPwRETkJFouFq/s359tb+hMZ4Mn2A9lc+M5CZq3f5+ypiYiI1C2xveCcl837c/8D2+c4dz4iIo2Iwh8RkVOgZ7Ngpt01iD4tQsguKOa2SSt5edZmrDYtaxcRESnT63rocQ3YbfDDjXA4wdkzEhFpFBT+iIicIhH+Xnx1U19uGtQCgHfn7eDaT5aRllPo5JmJiIjUIee8Ak16QN5h+G48FOY6e0YiIg2ewh8RkVPI3dWFf58fz9tXdMfHw5UF2w8x+u0F/JOU7uypiYiI1A3uXqb+j08Y7FsH0+9TAWgRkVqm8EdEpBaM7tqEn+4YSIswX5LT87j0/cV8t3yPs6clIiJSNwTGmg5gFlf451tYNtHZMxIRadCcGv688MIL9O7dG39/fyIiIrjooovYsmWLw5j8/HzuuOMOQkND8fPzY8yYMezfv99JMxYRqbm2kf78fOdARsRHUlhs45Ef1vHY1H8oKLY6e2oiIiLO12IIjHjGvP/bY7B7sXPnIyLSgDk1/Pnrr7+44447WLJkCb///jtFRUWcffbZ5OTklI257777mDZtGt9//z1//fUXe/fu5ZJLLnHirEVEai7Ay50PxvfkoZHtsFjgm2WJXP7+Yvam5zl7aiIiIs7X/w7oNAZsxfD9tZCZ4uwZiYg0SBa7ve5ssD148CARERH89ddfDBkyhIyMDMLDw/n666+59NJLAdi8eTMdOnRg8eLF9OvX75jXzMzMJDAwkIyMDAICAmr7KYiIVOuvrQe559vVpOcWEeLrwTtXdGdA6zBnT0tERMS5CnPgo+FwYCPE9YVrp4Obh7NnJSJSL9Q086hTNX8yMjIACAkJAWDlypUUFRUxfPjwsjHt27enadOmLF6sZaEiUr+c0TacaXcOomOTANJyChn/8VLe/2sHdSiDFxEROf08fGHsJPAMhMSlZguYiIicUnUm/LHZbNx7770MHDiQTp06AbBv3z48PDwICgpyGBsZGcm+ffuqvE5BQQGZmZkONxGRuiIuxIcfJgzg0p6x2Ozw4q+buf2rVWQXFDt7aiIiIs4T2grGlBR9Xv4RrP7KufMREWlg6kz4c8cdd7B+/Xq+/fbbk7rOCy+8QGBgYNktLi7uFM1QROTU8HJ35ZVLu/DsRZ1wd7Xw6/p9XPjOArYfyHL21ERERJyn7UgYWrLqZ/p9sHeNU6cjItKQ1Inw584772T69On8+eefxMbGlh2PioqisLCQ9PR0h/H79+8nKiqqyms99thjZGRklN0SExNrc+oiIifEYrEwvl8zJt/an6gAL3YczOHCdxby6zoVuhQRkUZsyMPQdhRYC+C78ZCT6uwZiYg0CE4Nf+x2O3feeSc//vgjc+fOpUWLFg7ne/bsibu7O3PmzCk7tmXLFvbs2UP//v2rvKanpycBAQEONxGRuqp702Cm3z2Ifi1DyCm0MuGrVbwwcxPFVpuzpyYiInL6ubjAxR9ASEvISIQp14NVW6NFRE6WU7t93X777Xz99df8/PPPtGvXrux4YGAg3t7eAEyYMIGZM2fy2WefERAQwF133QXAokWLavQx1O1LROqDYquNl3/bwod/7wRgQKtQ3r6iO6F+nk6emYiIiBPs32g6gBXlwMB7YcTTzp6RiEidVNPMw6nhj8ViqfL4p59+ynXXXQdAfn4+DzzwAN988w0FBQWMHDmSd999t9ptX0dS+CMi9cmMf1J4aMpacgutRAd68d74nnSLC3L2tERERE6/9VPNyh+Ayz6Hjhc5dToiInVRvQh/TgeFPyJS32zbn8WtX65k56EcPFxdePrCjlzRp6mzpyUiInL6zf43LHob3H3h5rkQ0d7ZMxIRqVNqmnnUiYLPIiJSrk2kPz/fOZCRHSMptNp4bOo6HpnyD/lFVmdPTURE5PQ66yloMcRs//ruKsjPcPaMRETqJYU/IiJ1kL+XO++P78nDo9rhYoHvViRy+QeLSTqc6+ypiYiInD6ubnDppxAQC6nb4cfbwKamCCIix0vhj4hIHWWxWLh9aGu+uKEvwT7u/JOUwei3F7Bg2yFnT01EROT08Q2DsV+CqydsmQnzX3P2jERE6h2FPyIiddygNmFMu2sQnWMCOZxbxDWfLOXdedtp4CXbREREysX0gPNKQp8/n4Ntvzt3PiIi9YzCHxGReiA22Ifvb+vP2F5x2Ozw8qwt3PrlSrLyi5w9NRERkdOjx9XQ6wbADj/cCGk7nT0jEZF6Q+GPiEg94eXuykuXduGFSzrj4erC7I37ufCdhWzbn+XsqYmIiJweo16E2N6m8PO346Ewx9kzEhGpFxT+iIjUM1f0acrk2/rTJNCLnYdyuPB/C5nxT4qzpyUiIlL73Dzh8i/ANwIObIBp94C2QYuIHJPCHxGReqhbXBDT7hrEgFah5BZauePrVTw3YyPFVnVAERGRBi6gCVz+Obi4wbrvYen7zp6RiEidp/BHRKSeCvXz5Isb+nDrGS0BmDh/F+M/Xsqh7AInz0xERKSWNRsAZz9n3v/t/yBhgXPnIyJSxyn8ERGpx9xcXXjsnA68d1UPfD1cWbIzjfPfWsCqPYedPTUREZHa1fdW6Hw52K3w/XWQkezsGYmI1FkKf0REGoBzOkfz850DaRXuy77MfMZ+sJhJS3arHbyIiDRcFguMfhMiO0POQZh8DRRr9auISFUU/oiINBCtI/z5+c5BnNMpiiKrnX//tJ6HpvxDfpHV2VMTERGpHR4+MPZL8AqC5BXw68POnpGISJ2k8EdEpAHx83Tj3at68Ng57XGxwJSVSVz6/iIS03KdPTUREZHaEdICxnwMWGDlZ7Dyc2fPSESkzlH4IyLSwFgsFm49oxWTbuxLiK8H65MzGf3OAv7aetDZUxMREakdbYbDmf9n3p/5ICStdO58RETqGIU/IiIN1IDWYUy/axBd44JIzy3iuk+X8c7cbdhsqgMkIiIN0KAHoP35YC2EyVdDtv7oISJSSuGPiEgD1iTIm8m39uOKPk2x2+HV2Vu55cuVZOYXOXtqIiIip5aLC1z0HoS2hsxkmHI9WIudPSsRkTpB4Y+ISAPn6ebKC5d05uUxXfBwc+GPTfu58J2FbNmX5eypiYiInFpeATDua/Dwg4T58MeTzp6RiEidoPBHRKSRuLx3HFNu609MkDe7DuVw0f8WMm3tXmdPS0RE5NQKb2dWAAEsfgfWTXHufERE6gCFPyIijUiX2CCm3TWIQa3DyCuyctc3q/nP9I0UWW3OnpqIiMipE38BDLrPvP/LXbB/g3PnIyLiZAp/REQamRBfDz6/oQ+3D20FwMcLdnHVR0s5mFXg5JmJiIicQmc+Di2HQVEufHsV5KU7e0YiIk6j8EdEpBFydbHw8Kj2vD++J36ebizblcb5b89n5e7Dzp6aiIjIqeHiCpd+AoFN4fAumHoz2LTSVUQaJ4U/IiKN2KhOUfx850DaRPixP7OAcR8u5svFCdjtagcvIiINgE8IjP0S3Lxg22z46yVnz0hExCkU/oiINHKtwv346Y6BnNc5miKrncd/3sADk9eSV2h19tREREROXpNucP4b5v2/XoQts5w5GxERp1D4IyIi+Hq68c6V3fm/czvg6mJh6upkLnlvEXtSc509NRERkZPX7Qroc4t5f+otkLrDufMRETnNFP6IiAgAFouFm4e0ZNKNfQn19WBTSiaj31nAn1sOOHtqIiIiJ+/s5yCuHxRkmALQBdnOnpGIyGmj8EdERBz0bxXK9LsH0S0uiIy8Im74bDlv/rENm011gEREpB5z84DLPwe/SDi4CX65E1TjTkQaCYU/IiJSSXSgN9/d2o+r+jbFbofX/9jKzV+sICOvyNlTExEROXH+UXD5F+DiBht+hMXvOHtGIiKnhcIfERGpkqebK89d3JlXLu2Ch5sLczYf4IJ3FrApJdPZUxMRETlxTfvBqBfN+78/ATv/cu58REROA4u9gffzzczMJDAwkIyMDAICApw9HRGReml9cga3frmS5PQ8vNxdeGlMFy7sFuPsaYmINAhLd6by4d87WZecwYGsAj64uicjO0YBUGS18ersLczbfJA9abn4e7kxqHUYj5zTnsgAr2qvmV1QzGuztzB7w34OZRfQsUkAT47uSNe4oLIxD0xeyw+rkhweN6RtOF/c0KfsfvNHZwAw9fYB9GgaXHa8oNhK3+fnkJ5bxDc396N/q9BT8ak4fex2+Ol2WPs1+ITCLX9BUJyzZyUictxqmnlo5Y+IiBxTp5hApt81iMFtwsgvsnHPt2t46pcNFFltzp6aiEi9l1tkpUN0AM9c2KnSubwiKxuSM7nrrNZMv3sQ71/dkx2Hcrjp8xVHveYjP/zDgm2H+O/lXfnt3iEMbhPO+I+Wsi8j32HcGW3DWfZ/Z5Xd3h7XvdK1mgR68f0Kx5Dotw378fVwO4FnW0dYLHD+fyG6K+SmwuSroSj/2I8TEamnFP6IiEiNBPt68Nn1fbjrzNYAfLYogSsnLuFApv6xLCJyMoa1i+DBke0Y1Smq0rkAL3cm3dSX87s0oVW4Hz2aBvPMBR1Zl5xBcnpeldfLL7Iya/0+Hju3PX1bhtI8zJf7RrSlWZgPk5bsdhjr4eZChL9X2S3Qx73S9cb0jGX62r3kF1nLjn2/IpExPer5ClB3bxg7CbxDYO9qmPmACkCLSIOl8EdERGrM1cXCA2e3Y+I1vfD3dGN5wmHOe3sBKxLSnD01EZFGIyu/GIsFAryqXnlTbLNjtdnxdHN1OO7l5sryI35fL9mZSs///M6Zr87j/35cx+GcwkrX6xQTSEywN7+uTwEgOT2PpbvSuLhH7Cl6Rk4U1BQu/RgsLrB6Eqz81NkzEhGpFQp/RETkuI2Ij+SXuwbRLtKfg1kFjPtwCZ8t3EUDLyMnIuJ0+UVWXpy1iQu6NsHfq/IqHQA/Tzd6NA3irTnb2J+Zj9Vm58fVSazac5iDWQVl485oF85/L+/GVzf35ZFz2rN0VxrXfboMq63y7/LLe8UxebnZ+jVlRRLD2oUT4utRO0/ydGt1Jpz1hHl/5sOQuNy58xERqQUKf0RE5IS0CPPlxzsGMLprE4ptdp6atpH7vltDXqH12A8WEZHjVmS1cefXq7Db4dmLKtcHquj1sd2wA32fn0Pbf//KZwsTuKBrEyyW8jEXdG3CiPhI2kcFMLJjFJ9c25u1SRks2Zla6XoXd49h1Z7D7EnNZcqqRC7v1cCKIw+8FzpcALYiU/8na7+zZyQickrV4yptIiLibD4ebrw1rhvd4oJ4fuYmflqzl837svjg6p40C/UtG1cbnWz+9+d2ftuwjx0HsvFyd6VHs2AePac9rcL9Ko212+1c9+ly/tp60OFjJ6blMvjlP3GxwKJHzyIqsPzjHcjMp/+Lc7Ha7Mx/eBhxIT6n6tMmInLciqw27vhqFUmH8/jm5n7Vrvop1SzUl8m39ie3sJjs/GIiAry44+tVND3K77KmoT6E+HqQkJrDwNZhDueCfT04q0MED/+wloIiG0PbRZBdUHxKnludYLHARe/CwS1waAt8fx1c+wu4Hv3zLCJSX2jlj4iInBSLxcKNg1rw9U19CfPzZPO+LEa/vYC5m8v/alobnWyW7krj6n7N+PGOgXx5Y1+KrTau+XgZuYWVX4x8vGCXw1+7jxQV4FWp3fGUVUlEHSV8EhE5XUqDn4TUHL66qS/Bx7HdysfDjYgALzJyi/h760FGxFcuKl0qJSOPw7mFRPhX/bvvsl5xLNmZxiU9YnF1Ocov1frK0x/GfQWeAbBnEcx+3NkzEhE5ZRT+iIjIKdG3ZSjT7xpEj6ZBZOYXc8NnK3j9963YbPZT3skG4Isb+nBZrzjaRvoT3ySAVy/rSnJ6HuuSMhzGbdibwUfzd/HypV2qvdaYnrFMWXlE+LMiqf53shGReiGnoJgNezPYsNf8/kpMy2XDXvM7sMhqY8KkVaxLzuCNsd2x2u0cyMrnQFY+hcW2smtcOXEJny9KKLv/19aDzNtygMS0XOZvO8i4iUtoFe7HZb1iyz7m8zM3sWrPYRLTclm4/RA3f7GC5qG+DGnruOqn1NC24ax6fAT3j2hbe58MZwtrAxe/b95f+h6s/c658xEROUW07UtERE6ZqEAvvr2lP8/O2MgXi3fz5pxt/JOUzhtju1fZPrg6x+pkU91jAIJ8yv8inldo5Z5v1/DMhR2r/Us2wPAOkXy1dA/LE9Lo3TyE5QlpZOQVcVaHSN6au73GcxARORH/JGVwxcQlZfefnbEJgDE9Yrl3eBv+2GRWUp771nyHx31zcz/6twoFYHdqLmkVOnVl5Rfx8qwt7MvIJ9DHnXM6RfHgyHa4u5q//bq6WNiUkskPK5PIzC8iwt+LIW3DuH9Eu0pdwkpZLJaGU+T5aNqfB0Megr9fgWn3QEQHiK7+DwgiIvWBwh8RETmlPNxceObCTnSNDeJfP67jzy0HGf3OAt4b34OOTQKP+fiadLI5ks1m55npG+nVLJh2Uf5lx5+ZvpGeTYM5u2P12xwA3FwtXNQthsnLE+ndPITJyxO5qHsMbq4NcFuDiNQ5/VuFkvDiedWeP9q5UgsfPdPh/vldmnB+lybVjvdyd+XLG/se87pH+9iB3u41mlu9NPQx2Lsatv8B342HW+aBT4izZyUicsK07UtERGrFmJ6xTL19AHEh3uxJy+WSdxcx9Yi6Okc6nk42FT3+83q27Mvi7Su7lx37feN+Fu84xBOj42t0jct7xzJzXQoHsvKZuS6l4XWyERGRmnNxhUsmQnBzSN8NP9wENnWzFJH6Syt/RESk1nRsEsi0Owdx73drmLflIPdPXgtAsdVeaezxdrIp9cTP65m7+QCTb+1PdKB32fFFOw6xOy2XLk/Pdhg/YdJKejcP4btb+zscbx8VQKsIP+7+ZjWtI/xoF+VfVn+jMTpahzaAWetT+GrpHtYlZ5CeW8SMuwfVaGVXqV/W7uXub1YzIj6Sidf0Kjv+wOS1lYpvD2kbzhc39Cm73/zRGQBMvX0APZoGlx0vKLbS9/k5pOcWOWyHERE5IT4hMHYSfDQCdsyBP5+Hs1QEWkTqJ4U/IiJSq4J8PPjk2t68MWcbb83ZBsB/f99Cr+bBZa3cK3ay+ebmfjXqZGO323nylw38tmEf397Sv1Ir9glDWzGud1OHYyPf+JvHz49neIfIKq95Wa84Hv9p/XGtOmqoSju0XdYrjtsmrax8vtBKr2YhnNc5mkenrjuuayem5fL8jE30aV71Fooz2obzymXl9TU8XSvXH2kS6MX3K5Icwp/fNuzH18ON9Nyi45qPiEi1ojrDBW/D1Jtg/qvQpDt0ON/ZsxIROW4Kf0REpNblFVkZ2TGSYB93np62kR0Hcxj5+t88d3Enzu4YxYRJq9iwN4OPr+1d1skGIMjbAw83s0P5yolLGNkximsHNAfMVq+f1+xl4jW98PV0LXtMgJc7Xu6uRPh7VVnkuUmQd6WgqNQVveM4r3P0cRWabqiGtYtgWLuIas9f0sN0DEpMyz2u61ptdu79bg33jWjDsl2HycyvHNR4uLkctUA3mG2Fny1M4MnR8Xi5m3Do+xWJjOkRoyLdInJqdbkM9q6CJe/Cj7dB+J+mK5iISD2if92KiEitO7KTDUB6XhF3fr2aO89sfUKdbCYt2QPAuA8dr/vKpV247ATr9bi5ujSOTjZO9OacbYT6ejC2d1OW7Tpc5ZglO1Pp+Z/fCfR2p3+rUB48u12l1WCdYgKJCfbm1/UpXNw9luT0PJbuSuOZCzsp/BGRU2/EM5CyFnYvhG+vgpvngKf/sR8nIlJHKPwREZFad2Qnm9zCYh6buo6f1+zl7bnbuaBrE14c0xkfj+r/t3RkJ5sT6TBz5GPiQnyOep2OTQIbbicbJ1iekMbk5YnMvGdwtWPOaBfOqE5RxIV4szs1l1d+28J1ny5j6u0DcXVx7L52ea84Ji9P4uLusUxZkcSwduEK70Skdri6w2WfwQdD4NAW+GkCXP4lWNQVUkTqB3X7EhGR087Hw403xnbjydHxuLlY+GXtXi7+3yJ2Hcpx9tSklmQXFHPfd2t4YUznowY0F3Rtwoj4SNpHBTCyYxSfXNubtUkZLNmZWmnsxd1jWLXnMHtSc5myKlEd2kSkdvlFmMDHxR02TYOFbzh7RiIiNabwR0REnMJisXD9wBZ8c0s/wv092bI/iwveWcAfG/c7e2pSC3an5pB0OI+bPl9Bq3/NpNW/ZjJ1dRJ/bNpPq3/NZHdq1cFf01AfQnw9SKjifLCvB2d1iODhH9ZSUGRj6FFqFImInBJxveHcV8z7c56BHXOdOx8RkRpS+CMiIk7Vu3kIM+4aRK9mwWTlF3PTFyt4bfYWrLbK7eCl/moV7sdv9w5h5t2Dy27DO0TSv2UoM+8eTHSgd5WPS8nI43BuYbUFoC/rFceSnWlc0iO20rYwkcbOarOzeEcqP69JZvGOVP1ePVV6Xgfdrwa7DabcAId3O3tGIiLHpJo/IiLidBEBXnxzSz+em7GJzxYl8Pbc7axNyuCtcd0I8lENF2fIKSh2WG2TmJbLhr0ZBPl4EBPkTXpuIcnpeRzILABg50EzNtzfsyyouf+7NUQGevHIqPZ4ubvSLsqxOGqAlztA2fGcgmLenLONUZ2iCPfzZE9aLi/8uonmob4MaRtW5TyHtg1n1eMj8PPUP2lEKpq1PoWnp20kJSO/7Fh0oBdPjo5nVKdoJ86sAbBY4NxXYf8G0wXsu/Fw42xwrzrEFhGpC/QvJRERqRPcXV146oKOdIsL4tGp//D31oOc//YC3h/fk04xgc6eXqNzZIe2Z2dsAmBMj1heu7wrv2/cz0NT/ik7f9c3qwG456w23DeiLQDJ6XlYjqMYqquLhU0pmfywMonM/CIi/L0Y0jaM+0e0w9PNtcrHWCwWFXkWOcKs9SlMmLSKI9f57MvIZ8KkVbw3vocCoJPl7gVjv4QPzoB9/8D0++Ci91QAWkTqLIvdbm/Q6z8zMzMJDAwkIyODgIAAZ09HRERqYFNKJrdNWsnu1Fw83Vx47uLOXNoz1tnTEqnzlu5M5cO/d7IuOYMDWQV8cHVPRnaMKjtvt9t5/fetfLM8kcy8Ino1D+bZizrTIsy32mt+uWQ3Xy3ZTdLhPADaRPpx91ltGFahxtJjU9excPsh9mfm4+vpRo+mwTx6TntaR/gBZuXY4Jf/xMUCix49i6jA8m18BzLz6f/iXKw2O/MfHkZciM+p/rQ0KlabnUEvzXVY8VORBYgK9GLBI2dqq+SpsOtv+OJCswXs3Fehz83OnpGINDI1zTxU80dEROqcDtEB/HLHIM5sH0FBsY0Hv1/Lv39aR2GxzdlTE6nTcousdIgO4JkLO1V5/v2/dvLpogSeu6gTP90xEG93N675ZCn5RdZqrxkdYLbuTbtrEL/cOZABrUK55YsVbN2fVTamc0wgr1zahT/uP4MvbugD2Lnm46WVasxEBXjxw6okh2NTViURFVB1TSc5PnmFViYt2V1t8ANgB1Iy8lm2K+30TawhazEERjxj3p/1KOxZcvTxIiJOom1fIiJSJwX6uPPRNb14e+523pizlUlL9rBhbybvXdXTYdWAiJQb1i7CYUVORXa7nU8W7uKuM1tzdslqoP+O7UqvZ/9g9sb9XNC1SZWPGx4f6XD/oZHtmbRkD6v3HKZtpKnXdGXfpmXn44AHzm7HOW/OJ+lwLs1Cy1cVjekZy5SVSdwxrHXZsSkrkhjTI4a35m4/oefcWGUXFLNxbybrkzPMbW8G2w9kU9Oazgeyqg+IpAYSFsKit2DvGsjeB3H9IHEJTL4GbvkL/KPgz+dh1eeQnwFxfeH81yG01dGvu2wiLHwLsvdDVCc45xWI7Vl+fsWnsG4KpKyFwix4ZDd4Bzle46mSrdI3/mG6k5UqLoDX2kHeYbh2OrQYfCo+EyJST2jlj4iI1FkuLhbuGd6GT67tTYCXG6v3pHP+2/NZsjMVUCcbkeORmJbHwawCBrYuL54d4OVOt7ggVu0+XKNrWG12flm7l7xCKz2aBlc5JrewmO9XJBEX4l2pi9vwDpFk5BWxPMGsOlmekEZGXhFndYis6lJSIiOviEU7DvHh3zu4+5vVnPnaPDo/9RuXf7CYZ6ZvZOrqZLbuN8FPaSH1YwlVrayTU5QLkZ3gvFfN/T43Q0S8CW2+vxbmvwZLPzCBz01zwMMXvrwYio4Suq3/AX77Fwx9BG7921x/0sWQfbDCx82D1mfB4PuPPr+AWFgzyfHYpmng4Xdiz1dE6j2t/BERkTpvWPsIpt01iNsmrWJTSiZXfbSUi7s1YcGOVPapk41IjRzMNj8r4X6eDsfD/Tw5mF1w1Mdu3pfJJe8uoqDYho+HKx9c3ZM2kY7d275cnMALv24mt9BKy3BfJt3YFw83x78zurlauKhbDJOXJ9K7eQiTlydyUfcY3FxVe6ZUWk5h2Uoes6onkz1puVWOjQ70olNMIJ2aBNIpJoDOMYGE+nky6KW57MvIr1TwuaJnZ2ziPxe50rt5SO08kYauzQhzK+XmBWMnwYfDIHGpKQI99F/Q/jxz/uL34ZU2sHk6dL606msu/h/0uBa6jzf3z38Dts2G1V+Whz39bzdvd80/+vy6XWHCp1EvlnchWz0Jul4Bf798Qk9ZROo3hT8iIlIvNAv1ZeqEAfzrx3X8uDqZKauSK41RJxuR2tEyzI+Zdw8mK7+YmetTeOD7tXx3Sz+HAOjC7jEMahPOgcx8Js7fyR1fr2LKbQPwcnfs1HZ571jGvLuIh0a1Y+a6FKbePpBiW+Os53UgK58NyZmsK9m6tWFvJsnpeVWOjQvxLgl5zK1jkwDCjgjySj05Op4Jk1ZhAYcAqPS+t7sLm/dlcdn7i7m4ewyPndOeCNVdOnmhrWDMRPj6crNCp6jC19IrEGJ7QdLyqsOf4kKzhWxQhRU9Li7Qcqh5zPGK7gZBTWHjL9B1LKQnwu5FcN5rCn9EGimFPyIiUm94e7jyyqVdmLNpP5n5xZXO2zEvbp6etpER8VHqZCNSQbifeXF/MLvA4YX+wewC4qOP3hHVw82F5iUdwTrHBvJPUjqfLEzghUs6l40J8HInwMudFmG+dG8aTNenZ/Pbhn1c2C3G4VrtowJoFeHH3d+spnWEH+2i/NmwN+NUPc06yW63sy8zn3VJGazfm8mG5IyyjmxVaRHmS8cmZiVPadAT5FPzbVqjOkXz3vgePD1to0Px56iS1ZG9m4fw6uwtfLs8kR9XJ/P7xv3cO7wN1w5ojrurqkKclLYjofvVZrXO36+a+026mXO+4WZbWFVyU8FuBb8janb5hsOhrSc2l+7jzTy6joU1X5uVSj6hJ3YtEan3FP6IiEi9sjzhcJXBT6nSTjZ9n/uDMH9PArzc8fdyK7m5H/HWrcL58mO+Hm64KDiSBiYuxJtwf08WbU+lYxNTEDYrv4g1iemM79fsuK5ls3HU7nv2kv+qG3NZrzge/2k9z15UdVey+sxut5N0OK9s69a6ZBP2pOYUVhprsUCrcD86lwQ8pUGPfw3r9hzNqE7RjIiPYtmuNA5k5RPh70WfFiFlofgLl3RhbO+mPPnzetYmZfDsjE18uzyRZy7oyIAKdaHkBHS7yoQutkL47mq4ZR74OiF06TIW/ngK0nbBmq/gHK34EWnMFP6IiEi9UtMONYdyCjlUxYutmrBYwN+zPBBSgCT1RU5BMQmpOWX3E9Ny2bA3gyAfD2KCvLlhYAvenruN5mG+xIV489rsrUQGeHJ2hY5eV05cwsiOUVw7oDkAL83azNC24TQJ8iansJif1+xlya7UkpbusCc1l2n/7GVIm3BC/DzYl5HHe/N24OXuyrD2VXceu6J3HOd1jibAq37/U9Rms7M7LZd1yRlsKKvTk0lGXlGlsa4uFtpE+NEpJrBkRU8AHaID8PGovc+Bq4uF/q2qDx26xQXx4+0D+X5lIi/N2sL2A9lc+dFSzusSzf+d24EmQd7VPlaOwt900yMgBjL2wA83wFU/QM5BiOpc9WN8QsHiCtkHHI/nHAS/EyyI7hNiVh79cpfp9NVmBBRkndi1RKTeq9//xxURkUYnwr9mdSn+c2FHmob6kpVfRFZ+cYW3xWRWcaz0/WKbHbsdMvOLj7rC6FgsFvDzrBwcBShAwmqzV7saQU7OP0kZXDFxSdn9Z2dsAmBMj1heu7wrt53RkrzCYh6buo7M/CJ6Nw/m8+v7ONTl2Z2aS1qF4DQ1u4D7J6/lYFYB/l5utI/254sb+jC4TTgAnu4uLE9I49OFu8jIKyLMz5M+LUL4YcKAamvSuLm6EFLPuk1ZbXZ2HswuC3jWJWewcW8m2QWVf0+4u1poF+VfsqLHbN1qH+Vfqf5RXeDiYmFs76aM6hjNf3/fwpdLdjPjnxTmbjrAnWe25qbBLfB0q3vzrtOCm5vApuMlsOJj2DkPZv8bklZArxuqfoybh9ketusv6HC+OWazwc6/TCexE9X9avjqUhh4L7jo6yjSmFnsdnuD7oubmZlJYGAgGRkZBAQcfT+7iIjUfVab/aidbCyYuhYLHjnzuAMFu91OfpGNrPwiMqsJh8rPlR87MkwqPkUt56sLkKpahRRQTwKkWetTKtUhUZc2qWuKrDa2H8gu6bZl6vRs3JtJXpG10lhPNxc6RAfQKSagrCBz20j/Sp3O6osNezN48ucNrNh9GDD1h54cHc/QdlWv4mq0CrIhbad5/4PBMPJ5aD4YvIMhKA4WvG5uPa6BRW+bcb7hcO96cC/5I8bno6H9aOh7i7m//gf4cQKMfgNiesKSd2HDj3DnivJaQFn7Td2gvath2t1w/a+mfXtgrFnpA/BUIIz9yoRIdjvkpoGnvwmY8tLhpWZw7XRoMfh0fbZEpBbVNPPQyh8REalXXF0sR+1kA6bTzYmsJLFYLHh7uOLt4UrECf694EQDpKwCx3FFVrMCqfTYiTreAKmqrW1+pyhAmrU+hQmTVlUK7dSlTZypoNjK1n3Z5a3V92ayKSWzynpFPh6uxEcHlHXc6hQTQOtwP9waUJHkjk0C+f62/vy0JpnnZ25m16Ecrvt0OSPiI3ni/HjiQnycPcW6Ye9q+Pz88vu//cu87XolXPyeWWlTmAsrPzPbuexWKMyBwwkQ0d6MTUswhZ5LdRoDOanw5/Mm4InqDOOnOhaBXvEJ/PVi+f1PzzFvL3wXul9VeZ4Wi3PqDYlInaOVPyIiUi815BUkdrudgmJbhRVFxWTmHblVrWYB0qlgsYCfhxsB3iceIHm7uTLklT8dvl4OH4MTX7ElUlP5RVY2pWSyfm8m65NMjZ6t+7Oq/Fnx93QjvkLHrU4xAbQI82tU359Z+UW8+cc2Pl2UgNVmx9PNhdvOaMWEoa3q5Ba2OstaDF9eBAnzIbQ13DzXtH4XETkFapp5KPwREZF6S7VjqldVgHRk/aPMKo/VToBUU/93bgcGtw0jxNeDEB+PBrWiQk6vnIJiNqWY2jzrkzPZsDeDbQeysVaxLTPQ293U54kpCXuaBNI0xKdObZl0pq37s3jqlw0s2mFWqcQGe/PE+fGMiI/EYtHnqEZyDsEHZ0BmErQ7D8ZOAhf9fhORk6fwp4TCHxERkRNzogHSke8XWqtvCX4sQT7uhPp6EOrnWfLWg1Bfz7K3Ib4ehPmZ80He7nqx3khl5hexoSTgWVdSp2fnoRyq+lduqK+HQ8etjk0CiQ32VohxDHa7nZnr9vHsjPIVl2e0DeepCzrSIszXybOrJ5JXwifngLUAzvw3DHnI2TMSkQZA4U8JhT8iIiLOlV9kZd6WA9w2adUxx8YEeZFfZCMtt7DKF+5H42LBrBjyrRgQmWCoYkgU4utBmK8nAd5uesFfDx3OKWTD3pIVPXtNi/WE1Nwqx0YGeDp03OocE0hkgKe+7ichp6CY//25nYnzd1JktePh6sJNg1tw55mta7VtfYOx6kv45U7AAld9b9qvi4icBIU/JRT+iIiION/xdmmz2uwczi0kLaeQQ9kFpOUUkppdSGp2Aakl76flFHIop4DU7EIy8oqOe05uLhYTFFVYVWRCInP/yHN+ngqLTrdD2QWsSzYBT2l79eT0vCrHxgR5l3fcig2kY5MAIvy9TvOMG4+dB7N5etpG/tp6EDA11/7vvA6c1zlaPyfHMu1eWPmpqftzyzwIaensGYlIPabwp4TCHxERkbqhtNsXVN2l7WS6fRVZbRzOKSwLhlJLQqHUnIKSAMkER6UhUlbB8XdQ83BzqRASeRJW4f1QP7OyKMS3PCzSKoias9vt7M8sKOm2VdJ1KzmTfZlVFwhvFupT1la9dOtWiK/HaZ612O12ft+4n2embyTpsAnlBrQK5ekLOtIm0t/Js6vDigvgs/MgaTlEdoIbfwcPdVETkROj8KeEwh8REZG6o650aSsotpavJsopWVFU4X2zqqj8/dxC63F/DG9310pbz0L9zJazkCPqF4X4ejSa7kl2u53k9LyygMeEPZkcyi6oNNZigZZhvibkKQl74psEEOjt7oSZS3Xyi6y8/9cO3pu3g4JiG24uFq4b0Jx7hrfB30tfqypl7oUPhkDOQeh8GVwy0XzDi4gcJ4U/JRT+iIiI1C31sUtbbmFx2Vaz8lVFlbehpWYXcCinkMLi4y9y7efpVhYEhfp6lqwkqrrYdYivB+6nsRPaiX7N7HY7u1NzywKe0pU96bmVt+m5WKBNhH95x62YQDpEB+DnqRVU9UViWi7/mb6R2Rv3AxDu78m/zm3PRd1itBWsKgkL4fPRYLfCqBeh3wRnz0hE6iGFPyUU/oiIiMjpZLfbySm0OgRDjiGRef9Q6fvZhRRX0X78WAK83Ex9oiNDIofAyJwP9vE44YCtpqu1rDY7uw7lmI5bSSXFmPdmkpVfeYudm4uFtpH+5R23YgLpEBWAt0fjWP3U0M3bcoCnp21k16EcAHo3D+apCzrSsUmgk2dWBy15D2Y9ChZXuPYXaD7I2TMSkXpG4U8JhT8iIiJSl9ntdjLzix3DopJQqFLB65IaRsebFVksEOxTuqrIFLUu33pWeXVRoLc7Li6WsjpNR344C6Zu07X9m2GxWFifnMHGlMwqt8d5uLnQIcqfjiVbtzrHBNI2yg9PNwU9DVlBsZWP5u/inbnbySuy4mKB8f2a8cCIdgT6aCtYGbsdpt4C6yaDbzjcNBfSd0P2fvCLhGYDwEU/KyJSvXoR/vz999+88sorrFy5kpSUFH788UcuuuiisvN2u50nn3ySiRMnkp6ezsCBA3nvvfdo06ZNjT+Gwh8RERFpSGw2O+l5RaTlFJQUsi4se790W9qhCtvQDlexxepYXF0sBHm7k5FXdFyrkrzcXYiPDigpxGzCnjaRfqd1i5rULXvT83hu5iZm/JMCQIivB4+MasdlPeNwqePbPU+bwlz4+GzYvw5c3MFW4Wc2oAmMegniL3De/ETqktc7Q8aeysd73wTnvVb1Y/LSYe5/YNM0yDsMgXFmq2Xbs8355R/B8k8gveS6Ee3hjEegzYjKH3fMx9D5Usfr/68vHNwMF74L3a866ad4vGqaeTh1E3VOTg5du3blhhtu4JJLLql0/uWXX+att97i888/p0WLFjz++OOMHDmSjRs34uWl1p0iIiLS+LiUtKgP8fWgdcSxxxdbbRzOLTKrhrIdC1lX3HpWWsMoM78Yq81Oak5hjeZzTqcoRsRH0jkmkJbhfnW+fpOcXk2CvPnflT24qs8hnvxlA9sOZPPID+v4eukenrmwE13jgpw9Refz8IGe18HMBxyDH4DMFJh8DVz+hQIgEYBb/gRbhVWmBzbClxdB/EVVjy8uNOd9w83PkX80ZCSCV4VtqAExMPwpCG1lVuOt/Rq+uQJumw8RHSqMi4U1XzmGP4nLzUo9d99T9xxrSZ3Z9mWxWBxW/tjtdpo0acIDDzzAgw8+CEBGRgaRkZF89tlnjBs3rkbX1cofERERkZorLLZxOLeQKSuTeOW3Lccc/+a4blzYLeY0zEzquyKrjc8XJfDGH9vILijGYoFxveN4aGR7Qnw9nD0957FZ4Y1OpgNYlSxmBdC967QFTORIvz4KW2fB3aur7pi3/GNY9BbcuQJcj2PL6YvN4Oz/QI9rzP3XO0PnMbD4Xbh7FQTGmuO/3A1uXrD2Wxj1Qp1e+VNn1+Du2rWLffv2MXz48LJjgYGB9O3bl8WLF1f7uIKCAjIzMx1uIiIiIlIzHm4uRAZ40aNpcI3GR/hrNbbUjLurCzcNbsncB87gku4x2O3wzbJEhr06jy8XJ2A9gcLnDcLuRUcJfgDskJlsxolIueJC+Oc76D6+6uAHYMuvENsHZjwAr7SG//WDv191XD1Ukc0K66ZAUa55XEW+EdD6LFjzjblfmAsbfjQfvx6os+HPvn37AIiMjHQ4HhkZWXauKi+88AKBgYFlt7i4uFqdp4iIiEhD1KdFCNGBXlS3icuC6frVp0XI6ZyWNAARAV78d2w3vr+tPx2iA8jIK+Lxnzcw+u0FrEhIc/b0Tr/s/TUbN+8F86IzvYp6JyKN0ebpkJ8B3Y6y2uZwAmz8GexWuOp7OOMhWPwO/P2K47j9G+C5JvCfcJh+P4z9ytT+OVL38Wbrl91urhvcHKK7nMpnVWvqbPhzoh577DEyMjLKbomJic6ekoiIiEi94+pi4cnR8QCVAqDS+0+OjleNHzlhvZuHMO3OgTxzYUcCvNzYmJLJpe8v5v7JaziQle/s6Z0+fpHHHgOweyH8dBu80dncfrod1nwNh3fX7vxE6qrVX5qizAHR1Y+x20y9n9FvQZPu0GkMDH4QVnziOC60janxc/Mc6H2D+Vk7sLny9dqMhMIc8/O4ehJ0v/rUPqdaVGfDn6ioKAD273dMwvfv3192riqenp4EBAQ43ERERETk+I3qFM1743sQFei4tSsq0Iv3xvdgVKej/INbpAbcXF24pn9z/nxwKON6x2GxwNRVyZz56l98NH8nRVabs6dY+5oNMDV9jrbOzicUBtwNMb3A4mpW/6z5Cn6aAG92MfVIfpwAq79SGCSNQ/oe2DmvvCZPdfyjTCHnivWywtuZFXfFFRobuHmYcU26m+LPkZ1g6XuVr+fqBl3Hwp8vQPIK6HLZqXg2p4VTu30dTYsWLYiKimLOnDl069YNMIWMli5dyoQJE5w7OREREZFGYlSnaEbER7FsVxoHsvKJ8DdbvbTiR06lUD9PXhzThXF9mvLEz+v5JymDZ2dsYvKKRJ66oCMDWoU5e4q1x8XVtHOffA0mAKpY+6jk5+z8N8q7fRVkwZ6lsHsBJCyA5FWmBfXar80NTCvr5oPKb0HNqq+JIlIfrf7KrOhpM/Lo4+L6mho+Nhu4lKx9Sd0OflEm8KmO3eYYDlXU/WpY9DZ0vAS8a1Yfry5waviTnZ3N9u3by+7v2rWLNWvWEBISQtOmTbn33nt59tlnadOmTVmr9yZNmpR1BBMRERGR2ufqYqF/q1BnT0MagW5xQfx0+0Amr0jkpVmb2bo/mysnLuX8LtH833kdiA70dvYUa0f8BaYN9axHHIs/BzSBUS86tnn39Ic2w80NoCAbEpdAwkITBu1dZVpZr/3G3MC0qK4YBgU3VxhUKnMv/P4kbP8divIgpCVc+D+I6VH1+B8nlIdsFYW3hzuWlt9fNhEWvmVWmER1gnNegdie5edf72xCuzEfO7YOB/hfXzi4GS581yndo+o8m82sfOt6hVmJU9HUW802sOFPmfu9bzRfi1mPQJ9bIW0HzH8N+t5a/pg/noLWI0wHr8JsWPe9+Vm6emrVHz+8HTy8C9zr1+8jp4Y/K1asYNiwYWX377//fgCuvfZaPvvsMx5++GFycnK45ZZbSE9PZ9CgQcyaNQsvL3WVEBERERFpiFxcLIzr05RRnaJ4bfZWvlq6m+n/pDBn0wHuOqs1Nw5qgadbA2x5Hn8BtD/PdPXK3m9qATUbcOz27p5+0Hq4uUFJGLTU1CRJWADJKyEzCf751twAAmKOCINaNM4wKO8wfDwSWgyGq34A31BI3QHeQdU/5pwXy4MFAFsxvD8Q4i8qP7b+B/jtX3D+62ar3pJ3YdLFcOdK8AsvHxcQa0KMiuFP4nLz9Xf3PUVPsgHa+acJOKuqt5ORBJYK1W0CY02IM+sxeG+ACYb63gaD7isfk3MQfrwNsveBZwBEdjSPaXVm9XPwqX/NDix2u71B91Ssac97ERERERGpe9YnZ/DkLxtYufswAC3DfHnygo6c0Tb8GI8UwBSnTVxavjIoeSXYihzH+DdxDINCWjaOMOj3J83n5oZZJ36NTdPhu/Fw7z8Q1NQcm3gmNOkB571q7tts8Ho89LkFBpsFD7zeGTqPgcXvwt2rTEgB8Mvd4OYFa7+FUS9o5Y8cU00zjzpb80dERERERKRTTCBTbuvPj6uTeX7mZnYeyuHaT5Zxdnwkj58fT1yIj7OnWLd5+JoVDKWrGApzIWmZCYISFkDSCsjaC+smmxuAf3R5ENRskCmE2xDDoC2/QuuzTL2lhIVmVUjvm6DndTW/xuovoeXQ8uCnuBD2roFB95ePcXExY5KWOz7WN8J8/DXfmBbkhbmw4Ue4boYJf0ROIYU/IiIiIiJSp1ksFi7pEcvw+Eje+mMbny5KYPbG/fy19SC3D23NrWe0xMu9AW4Fqw0ePiaIaDnU3C/MNaFEaRiUvAKyUkzdk3XfmzF+UY4rg0JbN4ww6HACLP8Y+t8Bgx8wxbN/fQRcPaDblcd+fGYKbPsdxnxUfiw3FexW8ItwHOsbDoe2Vr5G9/Hw2//BkAdh48+mHlN0l5N5ViJVUvgjIiIiIiL1QoCXO/8+P57Le8fx5M8bWLwzldf/2MqUVYk8cX5HhneIwNIQQonTycMHWp5hbmCKHlcMg5KWm1oo66eYG5h6RBVXBoW1qZ9hkN1W0tr7SXM/uisc2AQrPqlZ+LP2a/AKhPbnn/gc2oyEafeaGk2rJ1Vdx0bkFFD4IyIiIiIi9UrbSH++vrkvM9al8Oz0TSSm5XHzFysY2i6cJ0d3pEWYiuWeMHdvaDHE3KAkDFpxRBi03xQ1Xv+DGeMb4bgyKKxt/QiD/KNM56aKwtvCpl+O/Vi73YQ1Xcc5tgz3CQWLK2QfcByfc9CEZkdydYOuY+HPF8yqq3GTjv95iNSAwh8REREREal3LBYL53dpwrB2Ebzz53Y+mr+TeVsOsmj739w8pAV3DGuNj4de7pw0d2/TDavFYHO/KN+EFKVhUOIyyDkAG6aaG5gtThVXBoW3q5thUFxfSN3ueCx1BwTGHfuxCQsgbWfllTpuHtCkG+z6CzqUrAiy2WDnX9Dn5qqv1f1qWPQ2dLwEvIOP+2mI1IR+G4qIiIiISL3l6+nGI6Pac1nPWJ6atpG/tx7kf3/uYOqqZP59Xjzndo7SVrBTyd2rPNiBkjBoZUkYNN+sDMo5aAoXb/jRjPENh2YDyx8X3r5uhEH9b4ePz4a/X4WOF5uaPys/g9Fvlo/54ylT2+eSDxwfu/pL08Y9Mr6K694BP04wW8pieppW70U5pr5PVcLbwcO7TNAmUksU/oiIiIiISL3XMtyPz6/vze8b9/PM9I0kHc7jjq9XMbB1KE+N7kibSH9nT7FhcveC5gPNjUeguMAxDEpcZsKgjT+ZG4BPWMljBptQKLy96Yh1usX0hLFfwZyn4a+XIbiZaa/e5fLyMVn7ISPJ8XH5GbDxFzjnxaqv22kM5KTCn8+bLXJRnWH81MpFoCvyCTn55yNyFBa73W539iRqU0173ouIiIiISMOQX2TlvXk7eO+vHRQW23BzsXD9wObcfVYb/L3cnT29xqW4wKyoqRgGFec5jvEJLVkZNNiEQuEdnBMGidRDNc08FP6IiIiIiEiDtCc1l2emb+SPTfsBiPD35F/nduDCbk20FcxZigth7yoTBJXWDCrKdRzjHWJCoGYl28Qi4hUGyalns8LuRWZ1ll8kNBsALq7OntVxU/hTQuGPiIiIiEjj9ufmAzw9bQMJqSZk6N08mKcv6ER8E70+cLriQti7ukIYtLSKMCjYsWZQREeFQXJyNv4Csx6BzL3lxwKawKiXIP4C583rBCj8KaHwR0RERERECoqtfDR/F+/M3U5ekRUXC1zdrxn3n92OQO+T2wr2+u9beXPONodjLcN9mfvA0GofM+OfFF77fQtJh/NoEerLo+e0Z1j78powr/++lWn/7CUlPR93VwudYwN58Ox2dG9a3g2q+aMzAJh6+wB6VDheUGyl7/NzSM8t4pub+9G/VehJPb/TqrgQUtaUh0F7lppiyRV5BZV0EisJhCI7KQySmtv4C0y+BjgyCilZDXj5F/UqAKpp5qGCzyIiIiIi0uB5urlyx7DWXNQ9hudnbGLGuhQ+X7yb6f+k8Mio9lzaMxYXlxPfCtY20o9JN/Utu+92lDBi5e407v52NQ+PbMdZHSL4ec1ebvlyBdPvGky7KFOYumW4L89c0ImmIT7kF1v5eP4urvl4GfMeGkqon2fZtZoEevH9iiSH8Oe3Dfvx9XAjPbfohJ+P07h5QFwfcxv8AFiLYO+aCmHQEshPh83TzQ1MGNSspOh0WRhU/7bvyGlgLYZfH6Zy8EPJMQvMehTan9fgvocU/oiIiIiISKMRE+TN/67qwZXbD/HkLxvYfiCbh3/4h6+W7eE/F3akS2zQCV3X1cWFCH+vGo39ZGECZ7QN59YzWgHwwNntmL/tEJ8vTuD5izsDcGG3GIfH/Pv8Dny3IpHN+7IY2Lo8/BnTM5bPFibw5Oh4vNzNi9XvVyQypkcMb83dfkLPpU5xdYe43uY2+H4TBqWsrRwGbZlhbgBegSYMKl0ZFNW5wb2Qb/RsVtN1Le/w8d1yDwO2o1zYDpnJphZQi8Gn69mcFgp/RERERESk0RnYOoxf7xnMZwsTeOOPraxNTOfC/y1kXO+mPDSyHSG+Hsd1vYRDOfR57g883V3o0TSYh0e1JybIu8qxq3cf5sbBLR2ODWkbzuwN+6ocX1hs45tle/D3cqNDtOO2jk4xgcQEe/Pr+hQu7h5LcnoeS3el8cyFnRpG+HMkV3eI7WVug+4zKzkqhUEZsGWmuQF4BppivqUrg6K6KAyqK4oLTXh3vCFOfkbtzit7f+1e3wkU/oiIiIiISKPk7urCzUNacmG3Jrzw62Z+XJ3MN8v2MHNdCg+ObMeVfZriWoOtYN2aBvHqZV1pGe7LgawC3vxjK5e/v5jf7huCn2fll1wHswsI83MMl8L9PDiUXeBwbM6m/dz1zWryiqxE+Hsy6ca+VYZSl/eKY/LyJC7uHsuUFUkMaxd+3OFVveXqBrE9zW3QvSYM2re2pLX8Ati9GAoyYOuv5gbgGWDCoGYVwiBXvTQ+KUV5xxngpJu3hdkn93E9/E1BcO+gkrfHuB3aCt9fe+zr+kWe3LzqIH2Hi4iIiIhIoxYR4MXrY7txRZ+mPPHzejbvy+Lxn9bz7bI9PHNhR3o2Cznq44e1Ky/U3CEausUFMejFucz4Zy9jezc94Xn1bxXKzLsHk5ZbyLfL9nDH16v46Y6BhFWo+QNwcfcYXpq1mT2puUxZlchTozue8Mes91zdIKanuQ28pyQM+qckCFpotvMUZMLWWeYGJgxq2r/CyqCuxxcGNZCW4djtJoypaXBT8VacfxIf2GK26tUkvHG4BZmVYMcjvJ3p6pWZQtV1fyzmfLMBJ/F86iaFPyIiIiIiIkCfFiFMv2sQXy3dw2uzt7BhbyZj3lvMmB6xPHpOe8L9PY99ESDQ250W4b5lreWPFO7nyaHsQodjB7MLK4U6Ph5uNA9zozm+9GgazNBX/uS75YncMay1w7hgXw/O6hDBwz+spaDIxtB2EWQXFB/HM2/AXN0gpoe5DbzbBDWlYVBCaRiUAdt+Mzcwq0ma9S9ZGTQYoo8SBtXFluE2m3lOxwpsqrrZTuL7xuJ6/OGNd7AJfk5XWObiar42k6/BdPeqGACVrPIb9WL9DO+OQeGPiIiIiIhICTdXF64d0JzzukTzyqwtfLcikR9WJTF7wz7uHdGWa/o3w9316G3FcwqK2Z2ay8Xdqw6LujcLZtH2Q9w4qEXZsQXbDtKjWXCV40vZ7Kb+T1Uu6xXH9Z8u57YzWtVoq1qj5eIKTbqb24C7SsKgdRVWBi009WS2zTY3AA8/aNrPrAoqC4Pcq28Znplijp9sy3Br8YnVw8lLrzyn4+HqAd4h1Yc11d08/cFSD7734i8wX5sqQ7sX61Wb9+Oh8EdEREREROQIYX6evHRpF8b1iePJXzbwT1IG/5m+kcnLE3nqgo70bxVaNva5GRs5q0MkMUHeHMjK5/Xft+HqYuGCrk0AuP+7NUQGevHIqPYA3DCwOWM/WMLEv3cyrH0E09buZV1yBi9c0gWA3MJi3pm7neHxkUT4e3I4p4gvFiewLzOf87pEVznfoW3DWfX4iCprDMlRuLhCk27mNuBOEwbtX19hZdACEwZt/8PcwIRBsX0geQU1ahluKz6xAKcg8+Sem7tvzYObijd37/oR4pyM+AvM16YhbNerIf1mEBERERERqUb3psH8ePtAJq9I5OVZm9myP4srJi5hdNcm/Ovc9kQHepOSkc/d36wmPbeIEF8PejUP5sfbBxBaso0rOT0PS4UX0z2bhfDmuO68NnsLr/y2heZhPnx4dS/aRfkD4GKxsONgNj9MSuJwThFBPu50iQ3i+1v70zbSv8p5WiyWxlPkuTa5uJqVPdFdof8dJWHQhvKVQQkLzGqcnXOPcaGSluHPRYO14Bhjj8Ez8PjCm9Kwx61m2xQbLRfXBtfO/Wgsdrv9JNaD1X2ZmZkEBgaSkZFBQEDAsR8gIiIiIiJShfTcQl6bvZWvlu7GZgcfD1fuOrMNNw5qgYfb0beCSQNhs8GBDbDoHfjn25o/zuICXkHHX9TYK1CdyOSoapp5KPwRERERERE5DuuTM3ji5/Ws2pMOQMswX566oCND2oY7d2Jy+uyaD5+ff+xxl0yENmebjmIuCgjl1FP4U0Lhj4iIiIiInGo2m50fVyfzwq+bOZRttvWM6hjFv8/vQGywj5NnJ7XOZoU3Oh27Zfi96xp0HZnT7cslu/lqyW6SDucB0CbSj7vPasOwdhFVjv9+RSIPTfnH4ZiHmwtbnz2n7P7BrAJe/HUz87cdJDO/iD4tQnn6go60CPMtGzPwxbkkp+fx1hXdy2p5lRrx37/YdiCbVy7twmW94k7VU62xmmYeWj8mIiIiIiJynFxcLIzpGcuIjpG88fs2Pl+cwKwN+/hzywHuGNaaW4a0xMtdL/obrEbcMtyZogNM4fTmYb7Y7XZ+WJXELV+sYMbdg6uth+Xv6cacB88ou2+hvP6W3W7nli9X4O7iwsRreuHn5cZH83cx/qOl/H7/EHw8yiOTJoFefL8i0SH8WbXnMAezC/DxqPtfZ607ExEREREROUEBXu48MTqemXcPpm+LEAqKbfz3962c/frf/LFxv7OnJ7WptGV4wBEd2AKanHybd6nS8PhIhrWPoEWYLy3D/XhoZHt8PNxYvedw9Q+yQIS/V9kt3L+8EPauQzms3pPOsxd3omtcEK3C/Xjuok7kF1n5Zc1eh8tc2D2GpbvS2JueV3bs+xWJXNQtBleXut8dTSt/RERERERETlK7KH++vaUf0/9J4bkZm9iTlstNX6zgzPYRPHF+PM0rbCGRuuF4txB9s2wPU1clsWVfFgCdYwN5aOQQut27vqxluN03gte3RfDNj0lkfv0rvZoH8+xFnR22EDV/dAYAU28fQI+mwWXHC4qt9H1+Dum5RXxzcz/6twqtrafeIFhtdmasSyGv0OrweTxSbqGVgS/OxWa307FJIA+Pale2SqjQagPAs0LBdhcXCx5uLixPOMy4Pk3Ljof5eTKkTTg/rEzirrPakFdoZfraFL69tR8/rEqqpWd56mjlj4iIiIiIyClgsVgY3bUJcx44g9vOaIW7q4W5mw9w9ut/8+pvW8gtLHb2FKWC0i1E0+4axC93DmRAq1Bu+WIFW/dnVTl+yc5ULujahG9u6cfU2wcSHejN1R8vZV9WkWkZ3vlS3t8Tw6eLd/PcRZ346Y6BeLu7cc0nS8kvsjpcy2whcgwMftuwH18Prc84ls37Mol/YhZt//0r//fjOj64uidtqtny1TLcj5fHdOHDa3ry+thu2O12xry7iJQME/i1CvcjJsibl2dtISO3iMJiG+/N20FKRj4HsvIrXe/yXrFMWZWE3W5n5roUmob60LFJYK0+31NF4Y+IiIiIiMgp5OvpxqPntGfWvUMY3CaMQquNd/7czvDX/uLXdSk08J479cbxbiF6c1x3ru7fnI5NAmkd4cdLY7pgt8PC7YcAUz/mk4W7uOvM1pzdMYoO0QH8d2xX9mcWMPuILYBjesYyfe1eh1Do+xWJjOkRU3tPuIFoGebHzLsH89PtAxnfrxkPfL+WbdUEdj2bBTOmZywdmwTSr2Uo71/dkxA/D75eugcAd1cX3h/fk52Hcuj6zGw6PDGLxTtTGdouHBdL5a1cZ7aPIKfAytJdaUxekcjlTijwfKIU/oiIiIiIiNSCVuF+fHFDH94f35OYIG/2ZuQz4atVXP3xMrYfqPrFqjiH1Wbnl7V7j7mFqKK8IitFVhtBPu4AJKblcTCrgIGtw8rGBHi50y0uiFW7HQOlTjGBxAR78+v6FACS0/NYuiuNi3vEnqJn1HB5uLnQPMyXzrGBPDKqPR2i/flkYUKNHuvu6kLHJgEkpOaWHescG8iv9wzmn6fOZtm/zuKLG/pwOLeIpiGVu/a5ubpwSY8YXv99K2sS07moW/0J6xT+iIiIiIiI1BKLxcKoTlH8cf8Z3H1WGzzcXFiw/RCj3pjP8zM3kV1QvhXMarOzeEcqP69JZvGOVKw2rRCqbcezhehIL/66icgAr7Kw52C22SYU7ufpMC7cz5OD2QWVHn95rzgmLzdbv6asSGJYu3BCfD1O5uk0SjYbFBbbajTWarOzeV8WEf6elc4FeLkT6ufJrkM5rEtKZ0R8ZJXXuLxXLEt3pTEiPpLAkuCvPtCGQhERERERkVrm7eHK/SPacmmPWJ6ZvoE/Nh3gw7938tPqZP7vvA54uLrwzPSNpGSU1xmJDvTiydHxjOoUfZQry8ko3UKUlV/MzPUpPPD9Wr67pd8xA6B3521n2toUvr2lH17uJ9bm++LuMbw0azN7UnOZsiqRp0Z3PKHrNCYvzdrM0LbhNAnyJqewmJ/X7GXJrlS+uKEPAPd/t4bIQFPLCeDNP7bRvWkQzUN9ycwv4oO/d5J8OI9xvcu3a834J4UQXw9igrzZvC+Tp6dt5Oz4KIa0Da9yDq0j/Fn9+Ai860F794oU/oiIiIiIiJwmTUN9+Oja3szdvJ+np21kd2ou93y7psqx+zLymTBpFe+N76EAqJaUbiECs/3nn6R0PlmYwAuXdK72MR/+vYP35u3gq5v60iE6oOx4uJ8XAAezC4gI8Co7fjC7gPgK40oF+3pwVocIHv5hLQVFNoa2i3BYCSaVpWYXcP/ktRzMKsDfy4320f58cUMfBrcxQU1yeh6WCrV6MvKKeGzqOg5mFRDg7U7nmAB+mDDAIdw7kJXPszM2cii7gAh/Ly7pEcNdZ7Y56jyC6+EKLYU/IiIiIiIip9mZ7SMZ0CqMifN38trsrVWOsQMW4OlpGxkRH4WrS+UCtHJqHWsL0ft/7eB/c7fz+Y196BIb5HAuLsSbcH9PFm1PLesAlZVfxJrEdMb3a1bl9S7rFcf1ny7ntjNa6etbAy9f2vWo57+7tb/D/SdGx/PE6PijPub6gS24fmCLo45Z+OiZRz2/7qmRRz1fFyj8ERERERERcQIvd1d6NQs56hg7kJKRz5SViYzu2gQftQI/ZY53C9F783bw+u9beXNcN2KDvctagft6uOHr6YbFYuGGgS14e+42mof5EhfizWuztxIZ4MnZ1dSPGdo2nFWPj8DPU19XqV36DhMREREREXGS0gDhWB75YR2P/LCOCH9PmoX60DTEl2ahPiU3X5qF+BDk4+6w5UWO7ni3EE1asptCq40JX61yuM49Z7XhvhFtAbjtjJbkFRbz2NR1ZOYX0bt5MJ9f36faukAWi0VFnuW0sNjt9gZdQj4zM5PAwEAyMjIICKi8z1JERERERMRZFu9I5YqJS445ztfDlZxC61HHBHi50SzUl6ahPjQL8aF56fuhPkT6e+GibUUiDU5NMw+t/BEREREREXGSPi1CiA70Yl9GPlX9Vd4CRAV6seCRM8nKL2J3ai6703LZk5pj3k/NZXdaDvszC8jML2ZdcgbrkjMqXcfTzYWmIT5lq4aah/mU3PclNtgbd1eXWn+uIuI8Cn9EREREREScxNXFwpOj45kwaRUWcAiAStfpPDk6HlcXC0E+HgT5eNA1LqjSdfIKrexJy2V3ak7J21wSSt5POpxHQbGNbQey2XYgu9JjXSwQE+xNsxCzUqj5EdvKVGdIpP7Tti8REREREREnm7U+haenbSQlo7wGUHSgF0+Ojj/pNu/FVht70/NJSM0pWzWUkJrLnpJVQ/lF1Xe3Agj396RZiE/JdjLHVUPBqjMk4lQ1zTwU/oiIiIiIiNQBVpudZbvSOJCVT4S/F31ahNR6+2+73c7BrAISUstXDZlgyARF6blFR328v5ebWSFUxaqhqADVGRKpbQp/Sij8EREREREROTEZuUXsTjP1hUq3lZWuGtqXefROZR6ldYZKVg01r1CMOjbYBw831RkSOVkq+CwiIiIiIiInJdDHnS4+QXSJDap0Lr/IWlZf6MhVQ0mH8ygstrH9QDbbq6kz1CTIu7wAdaiPQwt7X0+9VJXa5YyVds6knygRERERERE5bl7urrSN9KdtpH+lc8VWGykZJXWGSlYNJRwqL0adV2Ql6XAeSYfzWEhqpceH+XmWbCcztYWahfqUrRoK8fVQnSE5KbVZY6uu0rYvEREREREROW3sdjsHswvKWtWX1hcqXTV0+Fh1hjzdTBAUWhIMlRajDvUlWnWG5BhmrU9hwqRVHBmElH7XvDe+R70KgFTzp4TCHxERERERkfojI6+orBPZ7pL6QqVt6yuu1KiKh5sLccHeNAv1pWmIT8l2MlNrKDbYG08311M+38a2fag+s9rsDHppbrXfRxYgKtCLBY+cWW++hqr5IyIiIiIiIvVOoLc7nWMD6RwbWOlcfpGVpMO5JBzKdWxbn5ZL0uFcCott7DiYw46DOZUe62KB6EDvkhVDlVcN+Z1AnaHGuH3oVCq22ii02igoqvjWSn7J/cJiGwXFpW+tDvePPFZQ8ZzVRkGR1fHaxVbScwuPGiDagZSMfJbtSqN/q9DT94k4DRT+iIiIiIiISL3g5e5K6wh/WkdUrjNktdnZm55ntpOl5ZjVQxVWDeUWWklOzyM5PY9FO6qqM+RhupOV1BiqWIA6tIo6Q9VtH9qXkc+ESavq7PYhu91uQpIahisFlY5VM956lDCm5DpHPt5WR/chHcg6+gqz+kjhj4iIiIiIiNR7ri4W4kJ8iAvxYRBhDufsdjuHsgvZXVKA+shVQ2k5hRzKNrdVe9IrXdvP060kGDLhUFyIN6/N3lop+AGzesQCPD1tIyPio8q2D5WucjkyADmucKXISkGllTLVhyuVr2nG10WuLhY83VzwcHPBw9UFT/eSt26ueLi5lJ3zdKv6mHmca/njyt66llzHhR0Hsnl25qZjziXC3+s0POPTSzV/REREREREpFHLzC8qWylUumooIdW8TcnM50RfNft6umKzQaHVhrWOLnPxcHPB09XliDDFMVwpf9+1UuDiWTFgcQheqg5oPKu4hoerC26uLrX+XEtr/uzLyK8yuFPNHxEREREREZEGKsDLnU4xgXSKqb7OUFl3srRclu5KZVNK1jGvm1NgrfK4i4VqVq+4HrHCpUIYUyFcqSqgOfrKGNcjQpySt64ulbazNWSuLhaeHB3PhEmrsIBDAFT6WXhydHy9CX6Oh1b+iIiIiIiIiByHxTtSuWLikmOOe/WyLvRpHlppK9LpWOUi1WtIhbq18kdERERERESkFvRpEUJ0oNcxtw9d3D22Qa4iqe9GdYpmRHwUy3alcSArnwh/L/q0CGnQXyuFPyIiIiIiIiLHoTFvH2ooXF0sDa6d+9ForZmIiIiIiIjIcRrVKZr3xvcgKtCxM1RUoFedbfMujZdW/oiIiIiIiIicgMa4fUjqJ4U/IiIiIiIiIieosW0fkvpJ275ERERERERERBowhT8iIiIiIiIiIg2Ywh8RERERERERkQZM4Y+IiIiIiIiISAOm8EdEREREREREpAFT+CMiIiIiIiIi0oAp/BERERERERERacAU/oiIiIiIiIiINGAKf0REREREREREGjCFPyIiIiIiIiIiDZjCHxERERERERH5//buPK6m/P8D+Pu0WEtNUSSiskWWRGgRKtmSsmQtsswouxn7vsuSDIXsCjVF9hBK1kb2V/YuxwAAX/9JREFUfZksSaFVVOq+fn/0u+fbFfOdme/o3ur9/Id7zrn38b730+ecz3mfz8LKME7+MMYYY4wxxhhjjJVhnPxhjDHGGGOMMcYYK8M4+cMYY4wxxhhjjDFWhnHyhzHGGGOMMcYYY6wMKxXJnw0bNlC9evWoUqVKZGFhQVevXpV3SIwxxhhjjDHGGGOlgsInf/bv30+TJ0+mefPmUXx8PLVo0YK6du1KKSkp8g6NMcYYY4wxxhhjTOEpfPJnzZo1NGrUKBo+fDiZmJhQQEAAValShbZt2ybv0BhjjDHGGGOMMcYUnkInf/Ly8ujatWtkZ2cnblNSUiI7Ozu6dOmSHCNjjDHGGGOMMcYYKx1U5B3An3n37h0VFBSQrq6uzHZdXV168ODBV9+Tm5tLubm54uvMzMzvGiNjjDHGGGOMMcaYIlPo5M8/sWzZMlqwYEGx7ZwEYowxxhhjjDHGWFkizXUA+NPjFDr5U716dVJWVqbk5GSZ7cnJyVSzZs2vvmfGjBk0efJk8XViYiKZmJhQnTp1vmusjDHGGGOMMcYYY/KQlZVFGhoa39yv0MmfChUqUOvWrSkqKoqcnZ2JiEgikVBUVBR5e3t/9T0VK1akihUriq/V1NTo5cuXpK6uToIglETY/7rMzEyqU6cOvXz5kqpVqybvcNhfxOVW+nCZlU5cbqUTl1vpw2VWOnG5lT5cZqUTl1vpVBbKDQBlZWWRnp7enx6n0MkfIqLJkyeTu7s7mZubU9u2bcnX15eys7Np+PDhf+n9SkpKpK+v/52jLBnVqlUrtX+Q5RmXW+nDZVY6cbmVTlxupQ+XWenE5Vb6cJmVTlxupVNpL7c/6/EjpfDJnwEDBtDbt29p7ty59ObNG2rZsiWdOHGi2CTQjDHGGGOMMcYYY6w4hU/+EBF5e3t/c5gXY4wxxhhjjDHGGPs2JXkHwP67ihUr0rx582TmMmKKj8ut9OEyK5243EonLrfSh8usdOJyK324zEonLrfSqTyVm4D/th4YY4wxxhhjjDHGGCu1uOcPY4wxxhhjjDHGWBnGyR/GGGOMMcYYY4yxMoyTP4wxxhhjjDHGGGNlGCd/GFMwPA0XY4wxxhhjjLF/Eyd/GFMwr169kncIjDHGGGOMMcbKEE7+MKZA/P39adKkSfTp0yfuAVSGnDx5ktLT0+UdBmOMyUVubq68Q2CMMcbKPU7+MKZA6tSpQytWrKDKlStTZmamvMNh/4KAgABydXWl/fv3c5mWAZyULf0kEslXt3PZfh8zZsygH3/8kX9fxhj7B6TnzpSUFB4dwP5nAvhqXK5IJBJSUuKcn6KLi4ujuXPn0ty5c6l9+/byDof9j3788Uc6c+YMTZ48mdzc3EhTU1PeIbG/AAAJgkDPnz+ngoICys3NpSZNmsg7LPY/KHoNPHz4MBERVatWjTp27CjPsMq0K1euUOXKlal58+ZUUFBAysrK8g6J/UWfPn2iypUryzsM9i+QXs/+2zammMLDw2nOnDmUkZFBXbp0oYkTJ1KrVq3kHRb7hm/dbytCneMsQDkj/UPcvHkzxcfHyzka9i2vXr2izMxMWr58OcXFxck7HPYPSYc6BAQEkI2NDW3YsIH27dvHPYBKAekF+uDBg+To6Eh9+vShdu3akbe3N928eVPe4bF/SHoNnD59Og0ePJimTJlCTk5OtHTpUjlHVnZZWFhQ8+bN6dSpUzRo0CA+/5USq1evpuXLl9Pbt2/lHQr7H0kkEvGGMz09nRITE4mIxG3cD0CxPXjwgKZMmUJDhgyhJUuW0Pnz5+mXX36hqKgoeYfGvqJo4ufmzZt04cIFevr0KREV1rlv9T4uKZz8KYfy8/Np5cqV5ObmRrdu3ZJ3OOwr+vTpQ1OnTqVPnz7RggULOAFUCgGgihUrEhHR7t27qUGDBvT48WNauHAh7d27l7KysuQcIfszgiDQ2bNnaejQoTRp0iSKi4ujjRs30saNG+nJkyfyDo/9TdKbGwD06tUrunjxIsXExNDhw4dpxYoVNG/ePJo9e7acoyzbqlatSr/99ht5eXnx+a8UyMjIoFWrVtGOHTvo3bt38g6H/UMAxBvRRYsWUa9evcjMzIxcXV0pKCiI8vPz5d4TgckCIJOQq1q1KvXu3ZtmzJhB7u7uFB0dTampqbRs2TI6c+aMHCNlXypa32bOnEmDBw+mHj160OjRo+mXX34hosKHUPJMAHHypxz48g9MRUWFbt26RVpaWpwAUgDSE/y7d+8oOTlZnBi4T58+NHr0aMrLy6P58+dzAqiUkTam5s2bRxMmTCB9fX0KCAig1q1b0/z58yk4OJhvgBSU9Jx5/PhxcnNzo9GjR9PLly9p4cKFNHLkSHJ1dZU5jim2L596v3v3jpo0aUKNGzemRo0a0YgRI2jTpk20YsUKmjNnjpyjLbs6dOhAsbGxdOTIERo9ejSf/xTI185lCxcupHnz5tGSJUto69atnAAqpaTnvgULFtCvv/5K3t7edOnSJbp37x6tWbOGnj17JucI2dcIgkBRUVE0depUGj9+PKWmpor76tSpQ+Hh4ZSamkorV66kEydOyDFSVpS0vi1ZsoS2bdtG69evp4SEBKpXrx4FBATQ6NGjiUjOCSCwcuPDhw8AAIlEAgDIzs6Gubk5TExMcPPmTXmGVm5JyyIiIgI2NjbQ09ODq6sr/Pz8xGNCQ0Nhb28PJycnXLhwQV6hsr9JIpEgJSUFTZs2RUBAgMy+oUOHQktLC5s2bUJ6erqcImRfktbHly9fAgB69+6N1atXIz8/H3p6ehgzZox4zNatW3HixAm5xcr+vlmzZsHMzAympqZo1qwZXr9+Le7Lzc3F1q1bUalSJYwbN06OUZYN0nqSnp6OzMxMmX0XLlyAhoYG3Nzciu1j8nXr1i18/PhRZtuyZcugpqaGZcuW4e3bt3KKjP1TEokEz58/h7m5OQ4dOgQAiImJQZUqVbBlyxYAQH5+vjxDZF9x6tQpCIKAnj17QlNTEzVr1sSOHTtkjnn+/Dnq1asHZ2dnZGdnyylSdu7cOZnXt2/fhoWFBU6ePAmgsCyrVq2KAQMGwNjYGD/99JN4rPRaWZI4+VOGFRQUiP/fsmULmjZtiqSkJAD/+WP78OEDWrRoAXNzc9y4cUMucZZ3R44cQZUqVbBixQqcPn0aY8aMQa1atbBw4ULxmLCwMLRt2xb9+/fHp0+f5Bgt+zvS09NhYmKCwMBAAJApO3NzczRp0gSrVq1CVlaWvEJkXwgNDUWNGjWQnp4OX19fNGnSBDo6OvD29sbnz58BFJ5bhwwZgkmTJiEvL0/OEbNvKXoNDAwMRJ06dbB8+XJMnz4dFStWxLhx45CTkyMek5ubi/Xr18PGxkYuDbKyQvrbHTlyBNbW1mjZsiXatm2L69evi793bGwsNDQ0MGTIEGRkZMgz3HKtaB25ePEiBEHA9u3bi7UzFixYgIoVK2L16tUySVOmmIqWKwC8e/cOpqamKCgoQEREBNTU1ODv7w+g8EFwUFAQl6sCefr0KebPn4+NGzcCABISEtCtWzfY2dkhODhY5tgXL17g2bNn8giTAQgODoYgCNi1a5fM9s2bNyMlJQXR0dGoWbOmmGh1cnKCqqoqXF1d5REuAE7+lFlFG64nT57E48ePUa9ePXTu3FlMAEkvDqGhoRAEAfXq1cPjx4/lEm95lZCQAAsLC2zYsAFAYbJAT08Pbdq0gaGhoUwCKCIiAs+fP5dXqOy/+NbNYpcuXWBjYyO+liYL+vXrh5o1a2Lw4MF8o6kgXr16hQEDBogNruvXr8PBwQFGRka4f/8+gMIE3syZM1G7dm08fPhQnuGyv+js2bNYsGABgoKCxG3h4eGoUKECJk6cKJMA+vz5s1gfuV7+c4cOHYK6ujrmzp2L8+fPo3PnzjAxMUFERIT4e0uTDZ6envxby9maNWuQl5eHiRMnQk1NDTt37pRJAL1+/RpaWloQBAF79uyRY6Tsvylal4YPH45ffvkFHz9+RP369TF8+HBoaGiIiR8AuHv3Ljp16oTTp0/LI1z2hTt37sDW1hYNGjSQ6V385MkTdO/eHZ06dcK+ffvkGCH70uzZs1GxYkXs3LmzWOLVy8sLY8eOFdv+06dPR6dOneDl5VXs2JLCyZ8yqOiJf8GCBahbty4SEhLw5MkT1K9fHx07dpTJ8B8+fBiTJ0/GyJEjuetnCcvJycGcOXPw9OlTJCYmomHDhhg7diwSExPRtWtXaGhoYNq0afIOk/0XRU/gubm5Mt3mb968CV1dXfTr10/m2IEDByI2NlZ8zTc/8vX777+jb9++sLW1RUJCgrg9ODgYtra2qFmzJhwdHdGlSxfo6uoiPj5ejtGyv0IikSAhIQGCIEAQBKxevVpm/4EDB1CxYkVMnjy5WE8Hro//3LNnz2BhYYE1a9YAAJKTk1G/fn3UqlULWlpaiIiIEM+Rly9fxoMHD+QZbrlU9O978+bNqFChAuLi4gAA3t7eqFSpEnbu3CmW05MnTzBjxgxs3rxZ7AHJFE/Rcr127RoaNGiA48ePAwA2bNiAH374AQMHDhSP/fTpE3r06IGuXbty+1+OipbbgwcPMHjwYGhoaGD69Okyxz19+hROTk4wMzPDb7/9VtJhsi8UrTPz589HxYoVERISInNMjx490L17dwCF7f++ffti8+bNYpnLIwGkIp+Zhtj3JJ1s6tq1a3T37l3atWsXGRgYEBHRqVOnyMHBgfr3709Lly4lfX19CgwMJHNzc1q9ejURERUUFJCysrLc4i9PKlasSLNnz6YKFSrQ7NmzydTUlBYvXkw//PADmZmZ0R9//EGXLl2ilJQU0tHRkXe47CuKLuno4+NDly9fpjt37tD48ePJzs6OmjdvTlu2bKHRo0dT06ZNqVGjRvTixQvKzMykdu3aiZO+ST+DyceFCxfozp079ObNG5lVNgYOHEgmJiZ0/vx5unv3LjVp0oQ2bdpERkZGcoyW/VUGBgZ08eJFsrOzozNnzlDfvn2pbt26RETk7OxMISEh5OzsTHXr1qUJEyaI7+PVb/4eACQIAhUUFJCWlhb16dOHRo4cSUlJSdSxY0fq2rUr+fv7k7W1Nc2YMYNyc3PJycmJLCws5B16uST9+z579izdvXuX9uzZQ+bm5kREtH79eiIi8vb2psePH1Pz5s1p165dpKqqSkuXLiWiwlVjVVT4FkLRSMt127ZtFB0dTT179iRHR0ciIurRowc9evSItm/fTh4eHlSpUiV69OgRvX37luLj40lZWZnbInIiCAJdunSJateuTY0aNaJFixZRlSpV6MSJE1S7dm3y9vYmIiJDQ0NatWoVzZ49W6yvTD4AiPfKfn5+pKamRnl5eTRixAjKy8ujwYMHEwDq2rUrbdu2jezs7CgnJ4fS09Np3759JAiCzMpgJR08K4N27doFGxsbmJub482bNwD+k11MSkpCy5Ytoa2tjdq1a8PMzIznrSgB0izvkydPEBcXh/fv38vsd3Z2hrOzs/h6/PjxWLlyJdLS0koyTPYPzZgxAzVq1MCqVauwdOlS1K9fH8OGDRMnU3/9+jUmTpyIsWPHYuLEieLTU37apji2bNkCY2NjODk54cWLF/IOh/1Nf/YE7dy5c1BVVcXw4cPx6tUrmX0xMTHcm+FfsH37dpibm0MikeCPP/4AAIwbNw59+vQR5zUbMWIElJSUYGhoyHOdydnp06fRrFkz6Ojo4NSpUwAgMwRy4cKFMDU1hZGREWxtbbmdWEokJSVhwIAB0NTUxKBBg2T2vXr1Cnv37kWnTp0wdOhQzJ49Wzz38TlQft6/f4+OHTuiUaNGYtvj8ePHGDlyJNq1a4f169fLHM9lpTjmzJmDGjVqIDg4GOvXr8eQIUOgqqqKnTt3AgBSUlLE7T/99JNCtP05+VNGfNnoPXz4MMzMzFClShWZroFFJyw9efIkTp06Jf4B8snk+wsLC4O2tjbq1q0LTU1N7NmzB6mpqQCA5cuXw8zMDFOmTIGXlxd++OEHPH36VM4Rs78iLCwMxsbGuHr1KoDCoQyCIMDQ0BD9+/fH9evXv/o+rnPyUXRVr5cvX8oMOwkICECHDh0wbNgwMUnACTrFV/QauGfPHixbtgwzZszAixcvxCFdZ86cgYqKCkaMGIHExMRin8H18e+T1qW3b9/C1tYWK1askNnfq1cvTJ48WTxu0qRJiI+P58ll5eDLoYzJycmYOnUqtLS0MHToUHF/bm6ueMyrV6/w8uVLsX5xHVE8XxuievXqVbi7u6NSpUrYv3//f/0MvsbJ37Fjx2Bvb4/WrVuLCaBHjx5h5MiRsLKywsqVK+UcIftSamoqWrZsKc7bChSeP6dOnQpVVdVvzo8m7/MoJ3/KmKNHj4pPbmJiYmBhYQFHR0ecOXNGPOZrT2/4xP/9FO3x07RpU6xfvx537tzBuHHjoKmpCT8/P+Tk5OCPP/7ApEmT0KpVK1hZWX0zYcAUz5kzZ+Dj4wOgcKJTTU1N7Ny5E7/99hsqVKiAwYMHIyYmRs5RMuA/9TEsLAxNmzaFgYEB6tSpg7Fjx4pLpW7YsAGWlpYYPnw49wAqZaZNmwYdHR24uLigcePGaNWqFfbv348PHz4AKKyrlSpVgrOzMy9b/S+5ePEiBg0aBFdXV6Smpsok4tzc3GBoaIiAgACMGTMGGhoaMnNqsZK3ceNGcWni1NRUTJ8+HS1btsTs2bPF8+PX2onympyUfVvRMklPTxcfJgLAvXv3MGzYMDRu3Bjh4eHi9vz8fJ5rUM6kv/uX914nT55Ep06dZBJAjx8/xoABA2Bvby9Tvkz+kpOToaOjg927dwMorI8SiQQZGRlo3749tLS0EBgYKFPPFKHOcfKnDLl8+TIaNGiAESNGiE9uTp06hQ4dOsDFxQVnz54Vj1WEP77y5Ny5c/D394e3t7fM9mnTpkFTUxPr1q0TM8F5eXm89K0C+1rdef/+PZKTk/H+/XtYWVmJT78LCgrQqFEj6OjoYNGiRSUdKvuGM2fOoHLlyti4cSOOHDmC4OBgVKtWDb169RLPnb/++iuaNm2KH3/8kZPjpcSGDRtQp04dMXF+8uRJCIKAFi1aIDg4WEzuHT9+HDY2Nnwz+z8qKChATk4OFi5cCH19fRgZGYn7pA+hcnNz4eDggGbNmsHMzIwfasjZ69ev4eDgAAMDA1y8eBFA4TLgU6dOhYWFBebMmSPXiUjZX1e0LbJ48WK0a9cOjRs3RpcuXXDlyhUAhQkgDw8PmJiY4MCBA3KKlH3N1atX0b1792JTO5w8eRLt27eHhYWF2EPyyZMn3FtSzr6VwBkwYAA6dOiAlJQUmX1Dhw6FsbExrK2tFe6em5M/ZciHDx+wYsUKtG/fHqNGjRIbXydPnoSlpSX69u0rs2wgKzmDBg2CIAgwNzdHenq6zL7p06ejRo0aWLFiRbF5gJhiKTofwtu3b/Hu3TuZ/c+ePYOxsbH4lC0xMREjRoxAUFAQN6QVyLRp09CnTx+Zbffv34eamhomTpwobgsMDBTnLmGK7cOHD1i4cKG4hPFvv/0GTU1NbNiwAV26dIGBgQGCg4ORmZkp8z6ul/+cdDjdixcvsHTpUlSpUgUTJkwQ9xftPZKSklLst2ff39f+vq9cuYIBAwbAyMgIFy5cAFCYAPr555/Rvn17mTJkim/evHnQ1tbGhg0bsG3bNlhZWaFevXoIDQ0FAFy/fh2enp7Q1tZGdHS0nKMt36RJgD/++AMBAQFo1aoVnJ2di90X+Pr6QhAEmTmAmPwUPY9+/vxZfJAEFPb2t7KywtChQ8VyzMnJQe/evXH+/HmFS/wAnPwplSQSyTcbrB8/foSPjw/atGmDUaNGyfQAatCgAWbMmFGSobIixo0bByUlJQQFBckkEaT76tevz106FVTR8bwAMHfuXJiYmMDY2BhdunTBxYsX8fHjRzx79gzNmjXDpEmTEBISgu7du8POzu6bXXzZ91P0HPnlfBX9+/dH165dxf3S+rhlyxY0aNAAz58/L8FI2T/xtQZVXFwckpOT8eDBAzRu3Bi+vr4ACp+wVqhQAYaGhoiMjPzm+9lfFxcXJzMv3evXr7F48WI0btxYpp3x5bWOyceXbYsrV66gb9++MDIywqVLlwAUJoBGjx6NUaNGcf1QUEWHqhYUFCApKQmmpqbF5hbp168fDAwMxMTBpUuXsHTpUm6DKICQkBB06NAB8fHx2LNnD9q3b4+ePXvK1NFTp06hU6dOGDRoEM/9KWdF25KrV69Gz5490apVK8ybN098ALJ582a0b98e+vr6GDRoEFq0aIFmzZrJzLOrSDj5U8o8evQIwH/+kLZv345ffvlF5pjs7Gz4+PigSZMm8Pb2Fp++Xb16lU/8JUDaaEpKSsKbN2/EkwMADB48GNWqVcNvv/0mM6kiUDh2lCmes2fPQhAEjBw5EgCwY8cOaGpqYtOmTdi1axesra1haGiIkJAQAIWJIlNTUzRo0AAdO3YU6x83pkvey5cv8fvvvwMAQkNDsXHjRgDAvn37UL16dRw/flzm+ODgYDRq1IiTsAquaENKIpGI1zVpHQsNDYWZmZk4t8zx48cxcuRITJ06la+B/5IHDx6gQ4cOqFWrltg77tWrV1i0aBGaNGmC2bNnyzdAJgoODoaJiQkePnwos/3y5cuwt7dHw4YNER8fD6Bw3hhpPeJrlmIZOXIkvL29ZXqCvHz5Evr6+mKv/qLtzYYNG2LSpEnFPofPgSVPes3KyMiAg4MD1q5dC6CwLPbs2YMOHTqge/fuYttj7ty58PLy4hURFciMGTNQq1YtLFiwADt37oSKigrGjBkjDse7ffs25s2bhxEjRmDy5MkKsarXt3DypxRZvXo1BEEQx/JmZWVh1KhRaN26NRYuXChzrEQigZOTE9TV1TFgwACZ7teK+IdY1oSFhaFFixbQ1dXFyJEjcfToUXHfoEGDUK1aNYSHh8s8FeWGlmLKzMzEzp07oaenhxEjRsDPz0+c3E2qX79+qFu3rtgo++OPP/DixQteIUWOsrKy4OLiAnt7eyxfvhyCIGDXrl0ACidQHDhwIDp16oRjx44BKGycTZ8+He3atSs2Bp8pplWrVsHFxQXu7u4yibwNGzagXr16iImJQWJiInr16oWZM2eK+/ka+PdIJJKvXp8ePnwIe3t7VK9eHc+ePQNQmABaunQpatasWaxdwkrGl0+ZDx48iE6dOsHGxqZYAmj9+vUQBAHq6uq4efOmuJ3bI4pn6dKl0NfXx6xZs2QSQCYmJhgyZIj4Wvpg0cnJSWYYMytZjx49knnIe+rUKTg5OaFXr154/PixuP3z58/Yu3cv2rdvD1VVVVhZWaFKlSq4c+eOPMJmX3Hw4EE0aNBA7CV54cIFqKioQFVVFb179/5mb3FFbftz8qcUuXnzJtzc3KCrqyv+Ab558wZTp05F27ZtMX/+fJnj582bBysrK0ycOFHhupyVZbdv30atWrXg4+ODdevWwdLSEg4ODti7d694zNChQyEIAg4dOiTHSNlflZWVhZ07d6JevXoQBAEBAQEAZJ+yNWrUCF5eXgBkG85c9+TnxIkTaNGiBQRBKHZ+jI6OxqBBg6CpqYn27dvD1tYWmpqaPCGtAitalxYsWIDq1avD09MTDg4OUFNTw86dOwEUzv9jamoKXV1d6Ovro2XLll9dvYj9uS8TABcuXCjWK+7Bgwewt7dHjRo1xJ5Wz58/x6pVq/DkyZMSi5UVKlpHoqOj8ebNGwCFvd8cHBzQoUMHPHjwQDzm6NGjGDBgAHx8fDgpqqCK1kM/Pz/Url0bM2fOFIcDhYSEoH79+vj5559l3mdhYYG5c+eWaKys0IEDByAIAg4cOCBee2JjY1GtWjUoKSnh8uXLAP5TXwsKCvDy5UusWbMGq1evFkd5MPn4st1+5MgRcfqHY8eOQVNTE8HBwbhy5QoqVKiA0aNH4969e/II9R/h5E8pc+/ePQwYMAA1atQQJ+pLTk7GpEmT0K5dO8ydOxefP39GTk4OBg0aJLPEHN+Efn8PHjzAwoULMWvWLHFbfHw8nJycYGdnJ5MAGjVqlEwjjCm2jIwM7NixA7Vr14aTk5O4XXph79evH0aPHi2v8FgR0nNeYmIiWrZsicaNG6N3795ir0mphIQEHDlyBN7e3lixYkWxp+JMMT18+BDLly/H+fPnARQOsZ0xYwYEQcDWrVsBFA5/DgkJQXh4uHhTq6hP4RTR0qVLMXnyZPG3S0tLQ5s2bWBoaCjTM04ikeDWrVswMjKCsbGxOASMEwklr2iSYObMmWjQoAFCQ0PF3gdHjhyBg4MDzM3NcenSJbx69QouLi4yczRxuSmmou33devWiQmgpKQkfPz4EWvWrEHNmjVhbW2NUaNGwcrKCk2aNOFznhy5urqiRo0aiIiIEB8UXr16FdWrV0fv3r2LTfLMFI80Sffu3Tu8ePECqampaN++PZYtWwag8P7b0NAQgiCUqjl1OflTShS9qN+9e/erCaDp06ejWbNmqFOnDszNzdGkSZNicyGw7+fdu3do164dNDU14eHhIbPv2rVr6NWrFxwdHbFjxw45Rcj+qm8lSlNTU7Fjxw5oaGhg6NChAP7TWG7dujXGjx9fYjGy/+7jx494+fIljhw5Ant7e3Tv3r1YAogpvqL18dChQxAEAQYGBrhx44a4/f3792ICaNu2bcU+g29q/57NmzeLPeakw77Onj0LS0tLNG/evNjQSFdXVwiCAENDQ3z+/JnbHHI0b9486Orq4syZM8jIyJDZFxMTg549e4orCRWdlJTLTPF8a3lpX19f6OnpYcaMGXj79i3y8/Nx8eJF9O3bF0OGDMGECRMUes6RsqzoUC83NzdUr14dBw8exMePHwEU9qDU0NCAm5ubzAqIXP8Uh0Qiwe+//w5BEHDx4kVx+9OnT9GkSRNx4Yi3b99i8uTJuHbtWqlKtHLyR8F96yb01q1bxRJAaWlpOHfuHGbPno1ly5bxib+EFD1hR0ZGwsLCAs2aNUNUVJTMcdevX4eNjQ2cnZ2LNciY4iha5w4cOID169fj119/FVfZSE9Px44dO1CtWjWYm5vD1dUVAwcORMOGDUvVyb8sktbFt2/fIjExER8+fBD3hYaGwt7eHr169RKf5ixevBibNm3iXpEKrOjQyg8fPuDdu3cYO3YsKlSogLCwMAD/Kff3799j9uzZEASh2GTe7K+T/p67d++GsrIy5syZIyaAzp8/DwsLC7Ro0ULmxmXcuHEIDw8XJ79kJafoBM0vXrxAq1atxF7GKSkpiI+Px9y5cxESEiKe6yIjI3Hs2DGxfcjtRMVT9Lr0/v17vHr1Smb/2rVrxQTQl/ukuE1S8qT1MT4+HidPnoSqqiqMjY0REREhzvMZGxsLDQ0NDBkyhO8HFMTXzoHu7u4wNzcXh88mJCRAXV0d48aNQ0REBBwdHWFpaSmWeWmpb5z8UWBFT/xXr17FlStXxJsWQDYBVDQzWRRf0L8faWX/8OGDzHwSZ8+ehYWFBfr27Ytz587JvOfmzZsyE/UxxVI0kTdt2jTUq1cPbdu2hY2NDerXry9OapqRkYGdO3eicePGqF69OuLj43loiZxJyy4iIgI2NjbQ09ODq6sr/Pz8xGNCQ0PRvXt3NG7cGH369IEgCOIqN0zxHD16VFyhbdSoUWjVqhWAwgm7PTw8ULVqVXGVG6m3b98iICCA6+E/VHRy5/fv32PZsmUQBAHLly8X98fExMDCwgJ169bF2rVr4enpiTp16ohz/rCSU/SalZubi/fv38PY2Bh79uzBsWPH4OHhAXNzcxgZGaFZs2Yy50Mpbicqni/nN7O0tISGhgZGjRolLlIAAGvWrIG+vj5mz54tM4kwk6+IiAioqqpi0aJFGD9+PCwtLaGlpSWTALp48SIEQYCnpyf3+lEgMTExYkLu5s2b6Ny5M9asWSOWW0REBNTV1WFiYgIrK6tSuaIvJ38UVNE/olmzZqFRo0YwMDCAsbGxzHwyt2/fhpubG2rWrImYmBh5hFouScvn2LFjcHR0hJWVFaysrMQhJVFRUWjfvj1cXV25XEqhdevWQU9PD3FxcQCArVu3QhAE1KpVS1yBIS0tDf7+/nB2dhYbatyIlq8jR46gSpUqWLFiBU6fPo0xY8agVq1aMqsOnT59GgsXLsSQIUNw9+5dOUbL/pvhw4ejTp064opSt27dEvc9efIEI0eOhKamZrEEkBQngP653377DYaGhvDw8ICenh4EQcCcOXMAFF7/7t+/j4EDB6J58+awsrLiidLlbPv27WL5SFefrFChAqZMmYKTJ0+ioKAAtra2PAFwKTNnzhzo6upi165diImJgYmJCWxtbREcHCwe4+vrC2VlZWzatEmOkTKpzMxMtG3bFtOmTZPZ7uLiAm1tbURERIhDwC5fvsxzfyqQgwcPQhAEuLm5ifMHLl68GK1atUJycrJ43Js3b/D8+fNSu6IvJ38U3KJFi6Cjo4OYmBi8e/cOU6ZMgSAIMss33rlzB/b29ujRo4ccIy1/Dh8+jCpVqmD+/PmIiopCly5doKWlhdu3bwMoXNbR2toa9vb24tA8ppiKPmXLzs7GyJEjxcbV4cOHoa6ujmXLlqFz587Q19cXJwbOysriCdUVREJCAiwsLMQVGdLT06GnpydOUvvlstOcqCsdzM3NIQgCZs+eXezJ2pMnTzBq1Choa2vj4MGDcoqw7Ll37x6qVauGgIAAfPr0CUlJSfDz84OSkpI4BEzq3bt3MsMrWcmTSCQYNmwYzM3NxW3R0dEyS7cDgK2tLRYvXlzS4bF/6MyZM2jatKn4APHixYuoUKECTExMYGFhgdDQUPHYffv28TVNQXz8+BEtW7bEr7/+CgAyIwPatm2Lpk2bIiQkROxJwuTnyzZFdHQ09PX14eTkhBEjRqBnz57ipM4jRoz46meUxrY/J38U2N27d9GtWzfxqeaRI0egqamJ4cOHi090pJ4+fVoq/wBLq+zsbDg4OGDRokUAgNevX8PIyAhjxoyROe7w4cNwcHDAy5cv5REm+wuKnvy3bduGtLQ0xMbGIiEhATdv3kT9+vXFhIK0B5AgCOIQsC8/g8lHTk4O5syZg6dPnyIxMRENGzbE2LFjkZiYiK5du0JDQwPTp0+Xd5jsL8rNzUVWVhbc3Nzg6uqKhg0bYuPGjcXmR3jy5AmcnZ3RtWtXOUVa9ly6dAlGRkZ4/vy5zHZfX18IgoBVq1aJT65ZySva1pP+/9WrV9DV1RWvVVKZmZm4f/8+unfvDlNT01L3hLo8kZaltD3x8OFDsTwjIyOhpaWFHTt2IDExEdWrV4e1tTU2b94s8xmcAFIM9vb26Ny5s/hamgByd3eHIAgwMjJCVlaWvMJjX7h//774/yVLlqBmzZq4fv06Bg8eLM7Vqq6ujpCQEDlG+e/h5I8C+TJ5k5mZCT8/P2RmZiI6Ohq1a9eGv7+/+JRHEAQMHz78Tz+DfR8ZGRkwMTHB/fv38f79e+jp6cks871jxw5xotLs7Gx5hcn+i6JJmzVr1kBHR0dmDpht27bBzs5OvOGMiIjAqFGjMG/ePG5Ey9G3km3SVTZmzZoFV1dXpKamAgBmzJiBhg0bwsbGBikpKSUWJ/t7/uz65enpCWNjY/j7+8sskZuVlYWcnBy+9v2Lrl27BkEQcP78eQD/KZdnz55BW1sbgiBgyZIl8gyRfSE7OxujRo3CsGHDIJFIxDLbu3cvzMzM0KVLF/EGlBMEik3a3vjw4QPev3+PT58+oXv37pg/f75Yrh07dkStWrVkHgKzkidti6SkpCAtLU2sY+fOnYOxsbHMfQEATJ48GRcvXkRiYmKJx8q+LiwsDG3atMFPP/0kbhs9erTYW3z79u0YMmQIBEHApEmT5BXmv0qJmMJQUiosjvj4eHr37h2pq6vTmDFjSF1dnQ4ePEj29vbk7u5OgiBQ3bp1ydHRkRITE0kikRT7DPZ9VatWjQwMDMjf35/MzMyod+/etH79eiIiSk1NpaCgINq7dy8REVWuXFmeobI/IQgCERH9/vvvdPv2bdq6dSu1atVK3J+SkkIXL14kIqKsrCzatm0bqaur0/z580lFRYXy8/PlEnd5B4CIiF6+fEkPHz6kzMxMAkAVKlQgIqI7d+5QQUEB/fDDD0RElJ2dTSNHjqSIiAiqUaOG3OJm3yaRSMTr15kzZyg4OJiio6MpOTmZiIgCAwOpY8eO5OvrSzt27KBnz55Rp06dqE+fPlSxYkVSUlKSuRayf6558+bUt29fmjVrFt24cUMsF21tbXJ2dqaAgADq06ePnKMsf06ePEn79u0jIqINGzaQl5cXPXz4kAoKCqhKlSrUu3dv2rt3L8XGxopl5ubmRosXL6bIyEhSVVWl/Px8UlZWlufXYF8oet6KiIggQ0NDev36NVWtWpW0tLSooKCAkpKSqEqVKqSkpES5ublUr149CgwMpJUrV8oxciYIAh04cIB69OhBLVq0oBkzZlBcXBx17NiRfv75Z4qKiiJra2tatGgRDR06lPz9/UlXV5f09PTkHTr7f2ZmZjRs2DCKjY0lU1NTOnz4MDVu3JhevXpFT58+JQ8PD/Lx8aGwsLAyU98ESFvRTG6KNnqPHTtGnp6eNGvWLBo6dChpaGjQ58+fqWvXrqStrU2hoaH06dMnGjx4MLm6utLgwYOLfQb7d0l/25ycHCIiqlSpEhER+fj40Jo1a6hhw4YUHR0tHj9z5kyKiIigY8eOkYGBgVxiZn9dWFgYLViwgD58+EChoaHUunVrKigoIGVlZXr16hW5uLjQrVu3qH79+qSkpEQ3b94kFRUVeYdd7qxfv57atm1LFhYWREQUHh5O3t7epKysTJ8+fSIPDw8aPHgwtWrVipYvX04hISHUuXNnysnJoeDgYPr999/J0NBQzt+CfQ0AMRE7ffp02r17N+no6NDr16/JycmJPDw8yNLSkoiIxo4dS6dPn6aCggLS1tam2NhYMenH/h7p737nzh1KSUmhrKws6t27NxERRUZGkq+vL2VmZtL8+fOpVq1aFBQURAcOHKArV66QhoaGnKMvXy5cuEDW1tZkZmZGI0aMIGVlZfLx8aHq1auTjo4OrVixgurXr08zZsygd+/ekb+/v5gskJJe15jiKNp2Dw0NpRs3btCyZcuoZcuWdPjwYapduzYlJyfT4MGDqWrVqmRubk7nz5+n9+/fU1xcnJj05va/fNy8eZPs7OxoypQplJOTQ8eOHSMdHR2aNm0aWVtb0+XLl2nJkiWUlZVFFSpUoFWrVlHz5s3lHXa59WVd+fz5M6mqqpJEIqEPHz6Qp6cnpaSkkJaWFl2+fJmGDBlCPj4+Mp+Rn59f+u8B5NntiMkOX9iyZQt8fHxQoUIF6OnpYePGjUhLSwMA7Ny5E8rKynB0dISZmRmaN28uDjvh+Ub+fRcvXhSHjACFw3169+6NDh06YNu2bcjLy0N6ejqGDh2Kli1bwt3dHatWrcKwYcOgqanJK5+UIq9fv0a/fv1QuXJlzJo1S6Y+SSQSJCYmYvPmzQgMDBTrHHebL1mfP39G+/btoauri/j4eDx8+BC6urpYs2YN4uPjsWrVKrRv3x79+vXDo0eP8OLFC0yaNAlmZma8ElEp4uPjg9q1ayM2NhYAMG/ePFSuXBl9+/ZFdHS0eNzZs2cRGRkp1kMegvn3Sc9z4eHh0NfXh6mpKTQ1NWFnZyfOf3Dq1CkMGjQIgiDA2NgYenp6MsNiWcmRrkJjY2ODfv364eDBg5BIJDhw4AC6du0KAwMD9O3bF507d4a1tTWSkpIA8FQApcWUKVNgaGiIJUuWwMPDA8bGxmjQoAFevHgBALhw4QIcHBxgaWmJnj17isOLuHzl59GjR1i0aBHmz58vbjt37hwcHBzg6OiI06dPi9s/f/7MEzzLWdG64u/vjx9//BG9evVCZGSkzKTcu3btgre3tzi/57Fjx+QR7nfFyR8FMXfuXGhqamLv3r0IDg5Gnz59ULNmTWzcuBFZWVnIzc1FUFAQBg4ciMmTJ/PY7e9EIpEgLi4OgiBg8eLFyMvLw/nz56GmpoYxY8ZgyJAhUFJSwvjx45GZmYn3799j1apVsLGxgZWVFYYNGyYuBc4Uz5cNJelNY0pKCtzc3GBubo4tW7b86WdwnZOPjx8/okePHqhbty727NkDLy8vmf2hoaEwNzfHzJkzARTOl5CXl1dsgmCmmJKTkzFw4EBs374dAHDgwAFoamrixx9/RL169dCzZ09x1ZuiuD7+NV+7STx16hR++OEHBAYGAgDi4+MhCAJsbW3FVSuBwhVF79y5IyYUmHwMHToUNjY2cHFxgZWVlcxqTyEhIViwYAE0NTUhCALGjh0rx0jZ33Hjxg3o6+sjMjJS3BYVFQVra2s0bNhQXDAkNTUVHz9+FBO3nPSWn6SkJLRp0wba2toYN26czL6zZ8/C3t4evXr1woEDB+QTIPumadOmQU9PD6NGjcJPP/0EVVVVrF+/XmY+yLS0NGzbtg0ODg5lso3ByR8FkJKSAhMTEwQEBMhsHz58ODQ1NeHv7y/ewBRtwPGJ/99VtMeHdFnb1atXY82aNVi7dq24b//+/ahWrRq8vb3x7t07cXtBQUGZPEmUFUXrTmBgICZMmIABAwYgLCwMQOGSxf369YOVlZV4M/Tl+5h8ffz4Ed26dYMgCGjTpk2xJaYXL16MGjVq8NLTpVBeXh5iYmLw7t07xMfHo27duli3bh0AYMWKFahWrRrs7e2558k/ID2H/fHHH4iIiABQODn6xIkTMW/ePACFkzkbGhrCw8MDhoaGsLCwwO+//87XNAUg7TGwZ88ejBo1CpcvX4aLiwusra2xY8cOmWOfPn2KSZMmoVOnTjy5fSkRGxuLypUr49atW+K2/Px8HDp0CGpqamjRogVevXoFoPiKYEx+QkNDYWpqitatW+Pq1asy+6Kjo9G2bVv079+f2yMKZOfOnTAwMMC1a9cAFI7yEAQBFSpUwJIlS2Tu6Yoqa/fbnPxRAKmpqWjcuLF4wyldJQoALCwsYGxsjICAAGRmZsorxDJPekFNSkpCXFwcUlJSsGfPHgiCAH19ffj6+socv2/fPqirq2PSpEl48uSJPEJm/9DPP/8MfX19jBkzBtOmTRN7eQGFvQ/69euHjh07ijeeTLFkZWVh0KBBqFKlCk6dOiWz78yZMzA2NhaflDLF9K2EqvTat3jxYnTv3l1cTnzNmjWwtbXFuHHjOBn7D0mXh27SpAmCgoIAACdPnsTdu3eRlpaGNm3aYOTIkQAK65EgCGjdujVu3Lghz7DLrTNnzsg8hAAKhyjXrl0b27ZtQ1JSElxcXGBra4vdu3fLHPf06VNUrVoV+/fvL8mQ2V/wtaRNcnIyzMzMsHz5cpnhJ9nZ2bCwsEC9evXQqlUrvH37tiRDZUV8K9kWFhaG1q1bY+jQoYiLi5PZFxsbi+fPn5dEeOwbirYXCgoKsGnTJrGjRUREBKpVq4a9e/eKU66sXbtWpp6V1SQrzxBWwr62GskPP/xAtWvXph07dhBR4YTCeXl5RETUoEEDUlVVpRUrVtD169e/+Rnsn5NOAHbv3j3q27cvzZw5k8aMGUODBw+mTZs2UWJiIt2+fZvS0tLE9wwYMIC2bdtGvr6+tHXrVl71qZQ4deoU7d+/n8LDwykgIICcnJyIiMSJuXV0dGj9+vWkpKREDx48EFeVYvIh/f0zMzMpIyODiIjU1NRo69atZGNjQ8OGDaPIyEhKTU0liURChw4dIkEQqGrVqvIMm/0JAOKEi0FBQbRmzRpaunQpvXnzRpxE8cOHD5SZmUkvX74kIqKYmBjy8PCgdevW8ape/9CjR48oNTWV1NTUaP/+/bRv3z6yt7cnExMTOnv2LAGgadOmERFRTk4O9erViyQSCamrq8s58vLn7Nmz1KVLFxo1ahQ5OjpSQEAA3blzh2rVqkWrVq2iAwcOkJqaGi1atIi0tbVpx44dtGXLFiIqbM8YGhpSu3btxJXymGKQSCTixPZZWVniNe2HH36g1q1b08GDByksLEw8Picnh+rUqUPz588nZWVlcaU3bpeULPz/xPhXr16lTZs2kZ+fH924cYOIiFxcXGjq1Kl0//59WrduHcXHx4vvs7S0pLp168opakb0nxWwf//9dyIisrW1pe7du9PLly9p7ty5NH/+fHJzc6NevXpRhQoVaPLkyXTs2DHx/dL6WubIM/NU3hTNQF6/fh2PHz9GYmIiAODWrVuoWbMm+vTpA+A/2caBAwciPj4enTp1go2NTckHXcZJf+c7d+5AU1MTM2fOxPPnz2WevmzYsAGCIGDZsmVIT0+XeX94eDgePHhQojGzv8bX17dYb7m9e/eiZ8+eAAqH76mpqcHf3x9A4Rjfe/fuAQDev3/P3asVxIEDB2BtbY0mTZpg5cqVePbsGYDCoRDdunVDxYoV0axZM4waNQr6+vo8LEiBFa1LkyZNgqamJiwsLGBgYIDatWsjKCgI+fn5OHr0KAwNDdGiRQs0bNgQTZo04QUO/gUjRoxAy5Yt4erqik6dOmHXrl0ACie/rF27tji0ZObMmZg7dy4P+ZKTx48fw8bGBp07dxZ7vGlra8PX1xdr1qxB586dcf78eQDA3bt3YWtrC29vb/H9QUFBEAQBDx8+lNdXYH9i/vz5sLS0RJMmTcQexh8+fEDv3r3RunVrDBkyBBs3boS1tTU6d+6M/Px8mJmZ4ccff5Rz5OWP9HoTFhYGTU1NODo6wtDQEF26dJEZEbBv3z60a9cOvXv35gUmFMzx48ehoaEhM//j5cuX0axZM7Gs7t27h1mzZiE4OLjMDfH6Gk7+yMEvv/wCAwMDaGpqwtXVFYcPHwYAHD16FHp6emjcuDH69OkDMzMzGBsbAwAWLVqE9u3byzPsMuv9+/ewsrLC+PHjZbYXPQGsW7cOgiBg6dKlPIFsKXDv3j0IgoChQ4ciKytL3B4UFARzc3Ps2bMH1apVw8aNG8V9e/fuhbOzM5KTk8VtPMREvuLj46Grq4sZM2Zg6tSp0NDQwPDhw8WhKJ8+fcLQoUMhCAIOHz7ME9KWEm/evEG3bt1w/fp1caiXu7s79PX1xevhwYMHsWbNGixZsoRX2fubvjxvSeeMOXr0KDw8PBAZGQkXFxfY2NjgwIEDSEtLQ+3atWFkZARLS0toaGjwDYycPXz4EC4uLujVqxdOnTqFEydOwMXFRZzzzNnZWawPf/zxh0yZp6Wl4dGjR/IKnX2haNn4+vqiVq1aWLZsGSZMmABlZWUxcZednY3ly5fD3t4erVu3houLi3h+7NGjB5YuXQqAE+AlLSYmBjVr1sTmzZsBAL///juqVq2KZs2aiWUCADt27EDnzp3Fh/pMcTRp0gRTp04VX58+fRrKysrYvXs3rl27hh49esDZ2VncX9YTQJz8KQFFT9RRUVEwNDTEuXPnsGPHDvTv3x/m5uYIDw8HUNgonjBhAn766SeZVb0GDx6Mfv36IS8vj0/8/7K7d+/CyMgI0dHRxRrNBQUF4u/t5+cHZWVlzJo1ixNApcD58+ehqamJQYMGieX1+PFj2NraQlVVFcuWLROP/fjxI5ycnODh4cH1S44kEonM7x8XF4dffvlFfB0ZGQkDAwO4u7uLCaCPHz/CxcWF594qJTZs2IBGjRqhY8eOSElJkTnn9uvXT3zg8SVO/Pw10t/zxYsXYrtCKiUlBY0bN8avv/6KlJQUuLi4wNLSEocPH0ZycjKmTp2KGTNmiD0gmXw9ePAAjo6OcHBwwP3795Gfn4+7d+/C09NTPP8VPV/yohOK7caNG1ixYoWY4AYKk9wqKirw8vKSKbuivZZnzpyJGjVqcEKvhEkkEhQUFGDZsmViryvpxPgDBw7EkCFDULduXZkFYXhuVvn68h4uNzcXEokEixYtQteuXZGWlibumzJlCgRBQP369dG6dWuZER9lHSd/SlB4eDh+/PFHmZvOa9euYdiwYWjdujX27dtX7D3v3r3DxIkToa2tjbt375ZkuOVGUFAQVFRUxEbU13p7ZGdn482bNwgMDISmpuY3Z4Rn8le0/GJiYlCpUiWMHz9eXHHBz88PJiYmGDp0KKKjo3Ho0CE4OjqiefPmPLREzqS/+/nz57F69Wp4enrKJH8A4MSJE6hbty5GjBghrtjASofPnz9j165daNq0KWrVqoXs7GwAEP+9f/8+tLS0cPHiRXmGWeq9ePEC2traEAQB3bt3x/79+8UhQIcOHYK1tTVSUlJw7949cdLgosuGM8Xx6NEjODg4wMHBATExMTL7uGdq6REXFwdBEFCxYkWxrS+93h06dAiqqqoYP3483r9/L77nwYMHcHFxQb169Xg4sxxIh8G+efMGN27cQHZ2NiwtLTF8+HAAhROra2tro06dOlixYgUAbjsqii8XKrh//z6qVKlSbFXtq1evIi4uTky8lvUeP1Kc/CkhT58+hY2NDTQ1NWW6ngGFCSB3d3e0bdsWW7duFbcnJCTAx8cHpqam3AX7O7pw4QIqVaqE33777ZvH+Pr6wt7eHgBkLs5MsRS98M6fPx8TJkyArq6uOARMemJfu3YtHBwcoKqqivbt28PZ2VnM+vOTU/k6cuQIBEFAhw4dIAgCGjVqhKioKJljIiMjoaamhrFjx4pDWpji+VpDODMzEyEhIdDR0RHn35KKj4+Hvr4+fv/995IKsUxKSEiAubk52rdvDzMzM4wcORIGBgbYtGkT9u/fj549e+LYsWMACnu+2tnZoWfPntyjVUE9evQIjo6OcHR0FOf6YaXPtm3boKqqip9//rnYg6bDhw9DEASZXiRA4cMO6Tx3rOTcv38f5ubmMkm3y5cvo2nTprhz5w6AwrlCHRwcMHXqVF7VS4GEh4ejXr16sLOzQ0xMDN68eQOg8J6gS5cuePXq1Vfb+eWp7c/Jn+/ka43eyMhI2NnZwcjIqNgSxfHx8ejVqxdGjBghs/358+dISUn5rrGWd69evYKOjg6cnJyQkJAgbi9ahlOmTMHPP/8sMwyMKa5ly5ZBS0sLp0+fRlRUFLZs2QI1NTW4ubnJNLru37+PjIwMsUzLS9ZfkRS94D5//hxTpkzBpk2bABSOy27bti369euHc+fOybwvKiqKu8ErsKK9El6+fIl3796JE+ZnZWVh//790NHRQdeuXXHu3DnExMSge/fuaNOmTblqhH0vjx49gouLC5ydnREeHo4DBw7A1tYWzs7OEAQBFhYWyM3NBVDYw+Dly5dyjpj9mUePHqFHjx4wNzfHzZs35R0O+xN/1iNLuoDIypUrxXaH9N/Y2Fjufawg4uLiULduXZkRGZcuXYKBgQF27NgBAJg7dy4GDBggM5SIlbwv68rz589x7tw5ODg4oHXr1mjVqhUOHjyIgIAANG/eXOwxXp57TnLy5zso+geVkpKCFy9eiK8vXLiAbt26wd7evtjT7IcPH4rvLc9/lPIQFhaGihUrYujQoTLD67KzszFjxgwYGBjwyhmlREFBAfr06VOsh93JkydRpUoVeHp6fvVizXWuZH05zPXGjRuwt7eHmZmZzNO2kydPol27dnB1dS027IEppqJ1acmSJTA3N0fTpk1haWmJ+/fvAyhc3SYkJAT6+voQBAE//fQTxo8fLw4B4wTQ/+7Bgwfo1q0bHBwc8PDhQ3z48AGXLl1Cz549sXv3bgB8k1ma3Lt3D5MnT+ZrlQIrWjaHDh3Czp07xYmCpdavXw9BEODj4/PV+scPoUpO0d//y7KYMWMG9PX1xZ4jr1+/hqurK4yMjNCwYUNoaWnxcDw5+9biBlIxMTHiPZybmxsEQUDPnj3FBx/lFSd//mVFTx4LFy5EmzZtUL9+fbRp0wYREREACp9Y9+jRA/b29jhz5kyxz+ALe8krKChAQEAAVFRU0LhxYwwfPhw//fQTnJycoKOjwyd4BfblBfvTp08wNzeX6UUnvZH09vaGIAjo27eveJPJSl5MTAzat28vkxg/ffo07OzsULVqVfHGVOrUqVOwtraGvb09Lly4UNLhsn9o1qxZ0NHRwb59+xAVFYV27dpBV1cXV69eBVDYA2jfvn1o2rQpevfuLb7v48ePcoq47Ck6Z0xsbKy8w2H/Em4nKp6iZTJt2jTo6emhQ4cOqFGjBhwcHHD9+nXxmPXr10NVVRVz586VV7js/0nbkF8mBO7evQtra2ts2bJFPCYhIQEhISHYsGEDHj9+XOKxsv/4chW9YcOGoX379ggJCcHr169ljr169Sp27tyJdu3aoU6dOoiLiyv2GeUJJ3++k/nz50NXVxchISF49+4dmjZtChMTE3Hs7qlTp9CrVy+0atWKJy1VIFeuXEHfvn3RsmVLWFtbY9q0aTy0pJRYunQpTp48CQDw9/dHnTp1cPToUZljVq5cCWdnZzg6Opbbk74iyMrKwtu3bwEAt27dErdfvHgRPXr0gIWFBQ4dOiTznmPHjsHBwYGHp5QS586dQ5s2bcTeWocOHYKmpiaaNm0KdXV1MQGUmZmJ/fv3o27duhg4cKA8Qy6zpHPGdO3aleeMYew7W716NfT09MS5y/bu3QtBEGBtbY34+HgxkbBs2TJYWVlx7zs5WL58ucxiEpcvX4aenh62b9+O27dvi9uHDRsGc3NzeYTIvuHLtvv06dOhq6uLadOm4eeff0a1atUwa9asr64A+/nzZ5iamuKnn34qqXAVEid//mX5+flITk5Gu3btxAmET58+DXV1dXEeC6nDhw9j6tSpfBOqYHi4QemTk5MDJycnDBgwAHl5ebhz5w7c3NzQsWNHcVnV1NRU9OjRQ2ZSda57Ja9oQzchIQHNmjWDm5ubuO3cuXPo06cPbG1tZZbEBcC9tUqRa9euYeHChQAKJy3V0dHBhg0b8Pz5cxgbG0NPT0/sifLx40eEhoZCTU0NHh4e8gy7zHr06BF69uyJdu3a4dKlS/IOh7EyIzIyEnv37gUApKen48cff8SePXsAFE4poKmpidWrV8PIyAjW1taIi4sT2x5fzvvDvr+PHz/C19dXHIIMAMnJyRg1ahRatmyJFi1aYMGCBcjKykJKSgoaN26MNWvWyDFi9i179+5F/fr1xUTrtWvXIAgCqlevjgkTJsjM4yrt2RUQEAAbGxtkZWXJJWZFwMmff0Fubq7MTUlCQgIaNGiAnJwcnDhxAmpqavD39wdQOM+Bv7+/OPGlFN+EKo4/GwPMFNfGjRvRsGFDsbvn2bNnMWzYMKipqaFp06YwNjaGqakpT6ioQDIzM+Hj44PWrVuLy6cChWXn7OwMOzs7hIWFyTFC9ld86/qVnJwMiUSCXr164eeffwYA5OXloXv37tDW1kbnzp3FepidnY0DBw5wT8vv6P79++jbty+vTMPYvyQ2NhaCIMDc3BxBQUEACqd2ePPmDa5fvw4jIyOsW7cOALBr1y4IggATExOZOSS5LVLypNes8+fPY/z48eL2q1evwt/fHzVq1ICVlRXc3d0xcOBADB06tFwnCxTB4MGDsWLFCvF1Xl4efvvtN/j5+QEAIiIioKGhgaCgIGzZsgWCIGDatGkyST7p57Rp06ZcDy/n5M//6LfffoOLiwtatWqFRYsWidvbtm0LV1dXqKurY8uWLeL2x48fw8rKqtgTbcbY/65Fixbw9PQUXycnJyM2NhbLli1DQECAmPjh3l3y8bVGbkZGBtavXw9TU1OZBFB0dDQ6d+6MXr16caOrlIiLi8OVK1fw7t07cVtSUhIMDQ3FJ+GZmZno27cvLl68yE+95aC8T3TJ2L/p4MGDEAQBNjY26NWrl8xCBn5+fujcubO4Yu/u3bvh5eUFNzc3boPIiUQiEX/79+/fY/ny5ahXr55MAggonNx57dq1sLOzgyAI0NLSQmpqqjxCZgDS0tKwfft25OXlyWxPSEjA69evkZSUBHNzc6xatUo8XldXFyoqKvj111/F4z98+ABHR0dcuXKlRONXNAIAEPtHNm3aRL/88gt5enoSAFq/fj2tW7eOvLy8aP369bRs2TKysLCgAwcOEBHRp0+fqF+/fpSXl0fHjx8nZWVlOX8DxkqXyMhIatu2Lf3www/k7+9Purq6ZGlpSbq6ukRUWCd37dpFe/fupbp165JEIiElJSWZzygoKOC6JwcASBAEunDhAl24cIFSU1PJzs6O7OzsKCcnh7Zu3UqbNm0ic3Nz2rZtGxERXbhwgQwMDEhfX1/O0bMvLVq0iBo0aEBubm5ERDRlyhQKCwujpKQksrOzo0GDBtHgwYOJiMjJyYmuX79O06dPp3379tHnz5/pwoULpKys/NU6yhhjpcWwYcPoxYsXpK2tTampqTRixAgaOnQozZw5k8LCwig6OpqqVKlCgwcPJkdHR/Ly8iIibouUFOk15vPnz6SqqkpERHv37qWLFy+Sl5cXHT16lLZv305dunShdevWie+Ttlm2bNlCHTt2pIYNG8rrK5Rrr1+/Jj09PfH1pk2b6OrVq7R161Zx2927d6lfv360ceNGsrW1pT/++IPWrl1LFhYW5ObmJlPP8vPzSUVFpUS/g6Lh5M8/FBgYSGPHjqWQkBBydnYmIqJBgwZRu3btaPjw4ZSenk7Lli2j8+fPU506dahOnTp0//59Sk9Pp2vXrpGqqio3ehn7G7Kysqhdu3aUnZ1NV69epWHDhtHbt28pLS2NFi9eTO3ataNatWpRvXr1aO7cuWIDiymOsLAw8vDwoNatW1NOTg5dvXqVJk6cSNOmTSMNDQ0KDAykHTt2UP369Sk0NFTe4bJveP78OfXu3Ztq1apFXl5eVLVqVfL29qaNGzdSQUEB+fn5UVpaGg0cOJB+/PFHevLkCU2bNo1evHhB+vr6FBISwtdAxliplpubSxUrVqSgoCCKjo4mT09PWrlyJb19+5Z++eUXatu2LbVs2ZKIiCpXrkxVq1YV2/+sZEivMXfu3KGwsDCaM2cOpaamkoWFBY0fP54mTJhAaWlpFBgYSDt37iQ7Ozvy9fUlIqK8vDyqUKGCfL9AOTd+/Hj68OEDbdu2jQoKCig3N5d8fHxo79691L17d1qzZg0REcXGxpKzszNNnz6dWrVqRb6+vgSAjhw5QkScaP0SJ3/+gXPnzlHnzp1p/vz5NHfuXHF7y5YtSSKR0B9//EE2NjZkYWFBTZo0oT179pCWlhbVrVuX5syZQyoqKpx5ZOwfuHfvHg0bNoxUVFTo+PHj9OHDB9qwYQMdOnSIVFVVqX///pSYmEhXrlyhiIgI7jEiJ9InZkU9efKEunTpQnPmzCFPT08SBIH27dtH3t7eNHz4cPLx8aGMjAzatGkTHTlyhPbv30+1atWS0zdg/83t27dpypQppKGhQbVr16bq1avT7NmziagwOTRz5kx6/vw5jRgxgkaMGEFERCkpKVSjRg0SBIGvgYyxUufs2bP07Nkz8vT0FLclJSVRmzZtaNGiRdStWzfy8vKilJQUmj59OnXo0IH27NlDKioqNGrUKG7/lyBp4ufmzZvUqlUr+vXXX6lJkyZ04cIFSkxMpNWrV1OVKlWIiCg1NZW2bt1KO3fupK5du9Lq1avlHD0jIvL396effvqJiIjS0tLohx9+oJSUFNq9e3ex3lpz586ljRs3koaGBuno6FBMTAypqqp+tT1a7slntFnp9ujRI1hbW8PJyQlxcXEAABcXFxgbG2P//v04fvw4TExM0LJlS7x69arY+3msL2N/j3Ryvs+fPyMhIQGtW7dGhw4dxDHYN2/eRGhoKBo2bIg6depAEARERkbKvJeVDOnvnZKSgri4OFy7dg0AcPv2bRgaGuLGjRsyc7wEBQVBSUlJXII6KyuLx9YrsKLXr1u3bqFLly5QU1ODu7u7zHEJCQkYPHgwbGxssHr1apl9PMcPY6y0OXPmDARBgCAI6Nq1K/z9/cVlwffu3SvOT3fnzh24urqiY8eO4iTQUtz+LxnSdsjdu3dRuXJlzJs3DwAwZ84cCIKAhg0binMJSo99//49Vq9eDT09PUyfPl0ucbNCEokEf/zxBwRBwLlz53D06FGYmpri6dOnAArblytXrkTTpk3h5eUlvu/GjRu4d++ezD0DK477W/8DDRo0oK1bt1JeXh7Nnz+frKysKCEhgU6dOkX9+/cnR0dH2r17N928eZPi4uKKvZ+7njH217x//56IiJSUlCgvL49UVFTIwMCAatSoQZcuXSIrKytKS0uj5s2bU9++fenatWu0detW6tq1K82aNYsKCgp4WEkJkj5pu3fvHvXp04fmzJlDS5YsoYKCAsrJyaGXL19STk4OCYJAubm5RFQ4XNbExISuXLlCRERqamr0ww8/yPNrsG8AIF6/rly5QqampuTn50ft2rWja9euUVhYmHisgYEBLV26lKpWrUpPnjwhFOlkzE/hGGOlTZ06dcja2po6depEubm5dO/ePbK1taV169ZRUlISZWdn040bN6hp06a0cOFCEgSBLl68KPMZ3P7//ooO9erYsSPVq1eP5s+fT0RE48aNoxUrVtCTJ09oz549RFR4PZJIJKSlpUXu7u40ffp0GjVqlBy/ARMEgbS1tcne3p6Cg4Pp7du3pKGhQSNHjqRnz55RjRo1yN3dndzd3encuXM0btw4IiJq0aIFNWrUiJSUlEgikXAPu2/gu6J/qEGDBuTn50e5ubl0584dmj59OtWrV48kEonYyG3SpAnVqFFDzpEyVjqdP3+e+vbtSzExMURE4tjrfv36UWJiIp06dYqqVKkiJoCIChMH9vb2NHv2bMrJyaE7d+7ILf7yBgApKSnR3bt3ydLSkjp27EibNm2i0NBQUlZWJnNzc3J2dqYRI0bQs2fPqGLFikRUOK6+YsWKVK1aNTl/A/YtqampRPSfpE1ISAgNGTKEPn78SCYmJuTr60u6uroUGBhIBw8eFN9Xt25d2r59O/36668kCIJMAogxxkoTY2Nj2rJlC2lqapK6ujo5OTlRUFAQxcTE0KlTp+js2bO0evVqKigoIBMTE9q+fTv5+fnJO+xypehQLwsLC2rWrBllZGTQ+PHjiYioRo0aNGrUKJo1axaNHTuWdu/eTYIgiAkgbW1t8vLyIkNDQzl/E6aurk4dO3ako0ePUvfu3WnRokUEgIYPH07Pnj0jHR0dMQF09uxZmjhxIhEVPiyWtkfZN8ix11GZ8OTJE3Tt2hXdunVDTEyMuL1nz56wtbXlISeM/UMPHjxAx44d0b17d/z+++8AAFdXVzRt2hQvXrwAANy7dw+tW7eGqampzPLS2dnZ0NPTw+HDh+USe3n1/v17WFlZFVs2VXoejI2NhaOjIxo1aoSoqChER0dj1qxZqF69utidlymWkSNHYvLkyUhMTBS3bdu2DV27dgXwn2EMN2/eRJcuXeDo6IiIiIhin8PXQsZYWfDgwQM4OjrCwcEB9+/fR35+Pu7evQtPT0/cuHEDgOzQVj73lay4uDioqqpi/vz5yM/Px6ZNm1C9enWMGzdOPCY9PR2zZ8+GIAjYs2cPAB6OLG/S318ikYj/LygoQOPGjcU25aFDh9C5c2fY2Njg2bNnAIA3b95g1apVMDMzKzbEnH0dp8X+R0ZGRrR+/XoCQMuXL6fY2FhydXWlR48e0cmTJ8WuZ4yxv6dRo0a0ZcsWkkgkNG/ePLK2tqZnz57RkSNHqE6dOkRE4oTq6enpNGHCBPG9hw8fprS0NGrSpIm8wi+X3rx5Q0lJSeTq6ipz3pM+gbG0tKSFCxeSubk5de/enTw9PengwYN08uRJftKmoGrWrEmhoaEUGBhIL168ICKiT58+iT21pMu1N2/enNasWUMFBQW0cOFCOn/+vMzn8FM4xlhZ0KhRI7FHz4QJE+jixYtkYmJCgYGB1KJFC5JIJDJDW/ncV7I+fvxIP/30E82bN4+UlZVpwIABtGTJEtq7d6/YA0hDQ4OmTp1Kc+fOpaFDh9L+/ft5OLKcZWRkEBGJPbHy8/MJAPXp04cuX75MGRkZ1KtXL/Ly8qIKFSqQp6cnPX78mHR1dcnd3Z2MjY3p1q1bcv4WpQOfkf4F0iFggiBQ586d6e7du3Tnzh1SVVWl/Px8PvEz9g8VHV55+/ZtmjFjBtWrV4+ISEwuNG7cmM6fP087d+4U31e1alW6ceMGGRkZySPscuvGjRv0/Plzsra2Lpb4LigoICKipk2b0uzZs+nVq1cUFRVF586do1atWskrZPYN+P8hWosWLaJx48bRli1baNu2bZSRkUEZGRmUn58vHiu9xjVv3pxWrVpFlpaWZGlpKZe4GWPse2vQoAH9+uuvpKSkREuXLqXY2FhxH7f55cvGxkZcAQoAaWhokJub21cTQBMmTKDFixdT8+bN5RlyuXfixAmys7OjDRs2UEpKChERqaiokLKyMnl6etKdO3do06ZNRETk4uJC48aNo9TUVHFJ9+rVq5MgCPT8+XNxPkn2bbzU+7/owYMHtHHjRlqzZg0v58jYv+jp06fk5eVFSkpKNHPmTLKysiKi/4zvluI6J18XL16kLl260J49e8jV1fWrx6xfv54OHz5Mhw8fFuf9YYqpaP1auXIlrVu3jn7++Wd6+PAhvXz5kqZOnUpZWVlUsWJFqlKlCj158oT69+8vLp/7Zf1kjLGy5PHjxzRp0iRKTk6mrVu3chJBgWVmZtK+ffto1qxZNGTIEFq7di0RES8FrgDu3r1La9eupaCgIDI1NaU2bdrQnDlzSE1NjdTU1GjatGkUGxtLQUFB4gPg8+fPk6WlpdjG+OWXX2jAgAHUunVrOX6T0oGTP98J34Qy9u96/Pix+MRm9uzZ3LNAASUmJpKZmRm1a9eO/Pz8yMDAgIhkG1dTp04lVVVVWrp0KTe4FFTR8ir6/yVLlpC/vz8JgkDv3r2jdu3a0f3796lChQqkoaFBVapUoUuXLnHChzFWbty/f58CAwPJx8eHz30KLjMzk0JCQmj06NH0yy+/0PLly+UdEivi0aNHtGPHDgoPD6fs7GxycHAgb29vevv2Lbm7u1NoaKj48FeK77f/Pk7+MMZKDX7KpvjCw8Np0KBB1L9/f5o+fTqZmJgQUeE4/MWLF1NwcDCdPHmSGjZsKOdI2dcU7a2Tnp5OOTk5VLNmTXG/r68vLV++nAYPHkyTJk2imjVr0ufPn6lSpUpEROKqXpzYY4yVN9zbUfFlZGTQwYMHqX379twOUUAFBQWUn59PPj4+FB0dTWfOnKFx48aRn58fWVlZUWRkJFWuXFneYZZqnPxhjJUq/JRNsUkkEtqyZQt5e3uTsbExtW/fnipVqkSJiYl0+fJlOnHiBM/xo6CK3rgsWrSITp8+Tbdu3aIhQ4aQk5MT2dvbExHR0qVLKSAggEaNGkXDhg0Te3h9+RmMMcaYouEHFIqraNnk5ubSoUOHKDg4mI4fP05t27al6OhoLrv/ESd/GGOlFt9oKq6rV6+Sj48PPXnyhNTV1alDhw7k6elJDRo0kHdo7L+YM2cObd68mVasWEF6eno0fvx4qlOnDo0ZM4b69u1LRETLly+n2bNn0+bNm2nEiBFyjpgxxhhjZcGXybmMjAxKSkqiBg0aiCuMctv/n+PkD2OMse+ioKCAlJWV5R0G+xuioqLE1b0sLS3p0qVL1LFjRzIyMiJtbW36+eefqXfv3kREtHv3bho0aBCXMWOMMca+O25X/u84+cMYY+y7+NbEwUxxfFku9+/fp6ioKPL29qbIyEgaNGgQrV27lqytral169bUokULcnd3Jw8PD/E93BhjjDHGGFN8PD02Y4yx76JoUoETP4qnaNfpt2/fUo0aNcjY2Jh0dXXp06dP5OvrSxMnTqQhQ4aQkpISNW3alB48eED37t2T+RxO/DDGGGOMKT4eMMcYY4yVM19O7jx69Gi6f/8+qaqqkpaWFuXn51NSUhKpq6uTkpISffr0iYyNjWnLli28PC5jjDHGWCnEPX8YY4yxckI6zEua+Jk2bRrt3r2bli9fThoaGuJxOTk5pKmpSTExMZSTk0Nnz56l1NRU2rp1KykpKfFQL8YYY4yxUobn/GGMMcbKgTdv3lDNmjXF16dOnSIPDw8KDw8nCwsLAkDp6emUkJBApqamdO/ePZo0aRJlZ2eTtrY2HTx4kFRVVXmlDcYYY4yxUoh7/jDGGGNl3Pjx4yk7O5u2bt0q9v5JS0sjPT09atu2LcXHx1NERAQFBwdTRkYGde7cmQIDA+ngwYOkpKREVapUIUEQKD8/n1RUuOnAGGOMMVba8KM7xhhjrIxr0qQJbd26lYiIMjIyiIjI0NCQrl27Rj179qSuXbvSixcvaM6cObR+/Xo6deoU3b59m9TV1alq1aokCAJJJBJO/DDGGGOMlVLcimOMMcbKKAD0/Plz8vLyIhMTE8rOzqbp06dTeHg4mZub0+nTp+nQoUPk7u5OnTp1oho1alB2djb5+PhQTk6OzGfxUC/GGGOMsdKL5/xhjDHGyrCsrCzq27cv1atXjzp06ECBgYGkqqpKgYGBZGhoSJ8/fyZVVVX6/Pkz5eTkUP/+/SkjI4POnz/PkzozxhhjjJUR/BiPMcYYK8PU1dWpY8eOdPToUerevTstWrSIANDw4cMpISGBVFVV6dOnT/Trr79St27d6P379xQdHU3KysokkUjkHT5jjDHGGPsXcPKHMcYYK0OkHXoBiP+fPn06qaur0+LFi8nW1pYmT55MKioq5OHhQc+fP6fKlStTs2bNyM7Oji5evEiqqqqUn5/PQ70YY4wxxsoIHvbFGGOMlSHp6emkqakpvs7PzydBEGjOnDkUFRVFJ0+eJA0NDQoPDyd/f3+SSCS0efNmMjIyEt9TUFDAQ74YY4wxxsoQfqTHGGOMlREnTpwgOzs72rBhA6WkpBARkYqKCikrK5OnpyfduXOHNm3aRERELi4uNG7cOHr37h2tXbtW5nM48cMYY4wxVrZwzx/GGGOsjLh79y6tXbuWgoKCyNTUlNq0aUNz5swhNTU1UlNTo2nTplFsbCwFBQVRvXr1iIjo/PnzZGlpyUO8GGOMMcbKME7+MMYYY2XMo0ePaMeOHRQeHk7Z2dnk4OBA3t7e9PbtW3J3d6fQ0FCysrKSeQ8P9WKMMcYYK7s4+cMYY4yVQQUFBZSfn08+Pj4UHR1NZ86coXHjxpGfnx9ZWVlRZGQkVa5cWd5hMsYYY4yxEsB9vBljjLEySElJiSpWrEizZ8+mI0eO0L59++j58+dUoUIFIiKqVKmSnCNkjDHGGGMlhXv+MMYYY2UUABIEQXydkZFBSUlJ1KBBA1JWViaJRMJz/TDGGGOMlQOc/GGMMcbKIZ7jhzHGGGOs/ODkD2OMMcYYY4wxxlgZxn29GWOMMcYYY4wxxsowTv4wxhhjjDHGGGOMlWGc/GGMMcYYY4wxxhgrwzj5wxhjjDHGGGOMMVaGcfKHMcYYY4wxxhhjrAzj5A9jjDHGGGOMMcZYGcbJH8YYY4wxxhhjjLEyjJM/jDHGGGOMMcYYY2UYJ38YY4wxxv5HgiDQwYMH5R0GY4wxxthXcfKHMcYYY+y/ePPmDY0bN44MDQ2pYsWKVKdOHerVqxdFRUUREVFSUhJ169aNiIgSEhJIEAS6ceOGHCNmjDHGGPsPFXkHwBhjjDGmyBISEsjS0pI0NTXJx8eHTE1N6fPnzxQZGUleXl704MEDqlmzprzDZIwxxhj7JgEA5B0EY4wxxpii6t69O926dYsePnxIVatWldmXnp5OmpqaJAgCHThwgJydnUkQBJljOnbsSAsXLqQuXbrQy5cvZRJFEydOpGvXrtH58+dL5LswxhhjrHziYV+MMcYYY9+QmppKJ06cIC8vr2KJHyIiTU3NYtuuXr1KRESnT5+mpKQkCg8PJxsbGzI0NKTdu3eLx33+/JmCgoJoxIgR3y1+xhhjjDEiTv4wxhhjjH3TkydPCAA1btz4L7+nRo0aRESkra1NNWvWJC0tLSIi8vT0pO3bt4vHHT58mHJycqh///7/btCMMcYYY1/g5A9jjDHG2Df8m6PjPTw86MmTJ3T58mUiItqxYwf179//qz2KGGOMMcb+TTzhM2OMMcbYNzRo0IAEQaAHDx78z5+lo6NDvXr1ou3bt1P9+vXp+PHjdO7cuf89SMYYY4yx/4J7/jDGGGOMfYOWlhZ17dqVNmzYQNnZ2cX2p6enF9tWoUIFIiIqKCgotm/kyJG0f/9+2rx5MxkZGZGlpeW/HjNjjDHG2Jc4+cMYY4wx9ic2bNhABQUF1LZtWwoLC6PHjx/T/fv3yc/Pj9q3b1/seB0dHapcuTKdOHGCkpOTKSMjQ9zXtWtXqlatGi1evJiGDx9ekl+DMcYYY+UYJ38YY4wxxv6EoaEhxcfHU6dOnWjKlCnUrFkzsre3p6ioKPL39y92vIqKCvn5+dGmTZtIT0+PevfuLe5TUlIiDw8PKigooGHDhpXk12CMMcZYOSbg35zJkDHGGGOM/SlPT096+/YtHTp0SN6hMMYYY6yc4AmfGWOMMcZKQEZGBt2+fZuCg4M58cMYY4yxEsXJH8YYY4yxEtC7d2+6evUq/fjjj2Rvby/vcBhjjDFWjvCwL8YYY4wxxhhjjLEyjCd8ZowxxhhjjDHGGCvDOPnDGGOMMcYYY4wxVoZx8ocxxhhjjDHGGGOsDOPkD2OMMcYYY4wxxlgZxskfxhhjjDHGGGOMsTKMkz+MMcYYY4wxxhhjZRgnfxhjjDHGGGOMMcbKME7+MMYYY4wxxhhjjJVhnPxhjDHGGGOMMcYYK8P+D2/DjoghD/LQAAAAAElFTkSuQmCC\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import pandas as pd\n",
        "import matplotlib.pyplot as plt\n",
        "\n",
        "# Calculate the number of stores in each city\n",
        "store_count = data.groupby('city')['store_id'].nunique().sort_values(ascending=False)\n",
        "\n",
        "# Calculate total revenue before and after promotions for each city\n",
        "revenue_before_city = data.groupby('city')['revenue_before'].sum() / 1_000_000  # Convert to millions\n",
        "revenue_after_city = data.groupby('city')['actual_revenue'].sum() / 1_000_000   # Convert to millions\n",
        "\n",
        "# Sort revenues based on store count order\n",
        "revenue_before_city = revenue_before_city.loc[store_count.index]\n",
        "revenue_after_city = revenue_after_city.loc[store_count.index]\n",
        "\n",
        "# Create a bar plot for the number of stores\n",
        "fig, ax1 = plt.subplots(figsize=(14, 8))\n",
        "\n",
        "ax1.set_xlabel('City')\n",
        "ax1.set_ylabel('Number of Stores', color='#0096FF')  # Cobalt blue shade\n",
        "bars = ax1.bar(store_count.index, store_count.values, color='#0096FF', alpha=0.7, label='Number of Stores')\n",
        "\n",
        "# Add labels to bars\n",
        "for bar in bars:\n",
        "    yval = bar.get_height()\n",
        "    ax1.text(bar.get_x() + bar.get_width()/2.0, yval, int(yval), va='bottom', ha='center', color='tab:blue', fontsize=10)\n",
        "\n",
        "# Create a line plot for revenue before and after promotions\n",
        "ax2 = ax1.twinx()  # instantiate a second y-axis that shares the same x-axis\n",
        "ax2.set_ylabel('Revenue (in Millions)', color='tab:red')\n",
        "\n",
        "line1, = ax2.plot(revenue_before_city.index, revenue_before_city.values, color='tab:blue', marker='o', label='Revenue Before Promo (M)')\n",
        "line2, = ax2.plot(revenue_after_city.index, revenue_after_city.values, color='tab:orange', marker='o', label='Revenue After Promo (M)')\n",
        "\n",
        "# Add labels to lines\n",
        "for i, txt in enumerate(revenue_before_city.values):\n",
        "    ax2.annotate(f'{txt:.2f}M', (revenue_before_city.index[i], revenue_before_city.values[i]), textcoords=\"offset points\", xytext=(0,10), ha='center', color='tab:blue')\n",
        "for i, txt in enumerate(revenue_after_city.values):\n",
        "    ax2.annotate(f'{txt:.2f}M', (revenue_after_city.index[i], revenue_after_city.values[i]), textcoords=\"offset points\", xytext=(0,10), ha='center', color='tab:orange')\n",
        "\n",
        "# Adding legend\n",
        "lines = [line1, line2]\n",
        "ax2.legend(lines, [l.get_label() for l in lines], loc='upper right')\n",
        "\n",
        "# Title and labels\n",
        "plt.title('Performance of Stores by City')\n",
        "fig.tight_layout()  # to ensure the right y-label is not slightly clipped\n",
        "\n",
        "# Show the plot\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 650
        },
        "id": "O_YAxQSIWnmd",
        "outputId": "8e9f3bca-439e-42b1-c73e-6720a5e92c9c"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1400x800 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "**What we understood:** The visualization shows the performance of stores by city, indicating the number of stores in each city (bars) and comparing the revenue before and after promotions (line charts). It is evident that Bengaluru, with the highest number of stores, generates the highest revenue both before and after promotions. In contrast, cities with fewer stores like Trivandrum and Vijayawada have significantly lower revenues. This suggests that store count positively correlates with revenue, and promotional activities generally increase revenue across all cities."
      ],
      "metadata": {
        "id": "BjG_Xu3PgTMm"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Store Metrices Overview"
      ],
      "metadata": {
        "id": "nogEPmjQKVTN"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import pandas as pd\n",
        "\n",
        "# Calculate Incremental Sold Units (ISU)\n",
        "data['Incremental Sold Units (ISU)'] = data['quantity_sold(after_promo)'] - data['quantity_sold(before_promo)']\n",
        "\n",
        "# Calculate Incremental Sold Units (ISU) %\n",
        "data['Incremental Sold Units (ISU) %'] = (data['Incremental Sold Units (ISU)'] / data['quantity_sold(before_promo)']) * 100\n",
        "\n",
        "# Sort by quantity_sold(after_promo) in descending order\n",
        "sorted_data = data.sort_values(by='quantity_sold(after_promo)', ascending=False)\n",
        "\n",
        "# Select the relevant columns\n",
        "result = sorted_data[['store_id', 'city', 'quantity_sold(before_promo)', 'quantity_sold(after_promo)', 'Incremental Sold Units (ISU)', 'Incremental Sold Units (ISU) %']]\n",
        "\n",
        "# Display the result\n",
        "result"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 441
        },
        "id": "pTNaGH2vYMcu",
        "outputId": "7c7b03b7-64d6-4514-8c5e-878e7190d80a"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "     store_id        city  quantity_sold(before_promo)  \\\n",
              "687   STCHE-2     Chennai                          513   \n",
              "876   STBLR-0   Bengaluru                          465   \n",
              "1394  STMYS-1      Mysuru                          450   \n",
              "596   STCHE-6     Chennai                          483   \n",
              "492   STHYD-2   Hyderabad                          472   \n",
              "...       ...         ...                          ...   \n",
              "1144  STVJD-1  Vijayawada                           16   \n",
              "1422  STMLR-1   Mangalore                           13   \n",
              "1216  STMLR-1   Mangalore                           13   \n",
              "867   STVJD-1  Vijayawada                           13   \n",
              "455   STTRV-1  Trivandrum                           10   \n",
              "\n",
              "      quantity_sold(after_promo)  Incremental Sold Units (ISU)  \\\n",
              "687                         2067                          1554   \n",
              "876                         2064                          1599   \n",
              "1394                        1984                          1534   \n",
              "596                         1907                          1424   \n",
              "492                         1902                          1430   \n",
              "...                          ...                           ...   \n",
              "1144                          11                            -5   \n",
              "1422                          10                            -3   \n",
              "1216                          10                            -3   \n",
              "867                            9                            -4   \n",
              "455                            9                            -1   \n",
              "\n",
              "      Incremental Sold Units (ISU) %  \n",
              "687                       302.923977  \n",
              "876                       343.870968  \n",
              "1394                      340.888889  \n",
              "596                       294.824017  \n",
              "492                       302.966102  \n",
              "...                              ...  \n",
              "1144                      -31.250000  \n",
              "1422                      -23.076923  \n",
              "1216                      -23.076923  \n",
              "867                       -30.769231  \n",
              "455                       -10.000000  \n",
              "\n",
              "[1500 rows x 6 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-7a782d6a-aaca-4747-96f1-e9f0a8078e3c\" class=\"colab-df-container\">\n",
              "    <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>store_id</th>\n",
              "      <th>city</th>\n",
              "      <th>quantity_sold(before_promo)</th>\n",
              "      <th>quantity_sold(after_promo)</th>\n",
              "      <th>Incremental Sold Units (ISU)</th>\n",
              "      <th>Incremental Sold Units (ISU) %</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>687</th>\n",
              "      <td>STCHE-2</td>\n",
              "      <td>Chennai</td>\n",
              "      <td>513</td>\n",
              "      <td>2067</td>\n",
              "      <td>1554</td>\n",
              "      <td>302.923977</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>876</th>\n",
              "      <td>STBLR-0</td>\n",
              "      <td>Bengaluru</td>\n",
              "      <td>465</td>\n",
              "      <td>2064</td>\n",
              "      <td>1599</td>\n",
              "      <td>343.870968</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1394</th>\n",
              "      <td>STMYS-1</td>\n",
              "      <td>Mysuru</td>\n",
              "      <td>450</td>\n",
              "      <td>1984</td>\n",
              "      <td>1534</td>\n",
              "      <td>340.888889</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>596</th>\n",
              "      <td>STCHE-6</td>\n",
              "      <td>Chennai</td>\n",
              "      <td>483</td>\n",
              "      <td>1907</td>\n",
              "      <td>1424</td>\n",
              "      <td>294.824017</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>492</th>\n",
              "      <td>STHYD-2</td>\n",
              "      <td>Hyderabad</td>\n",
              "      <td>472</td>\n",
              "      <td>1902</td>\n",
              "      <td>1430</td>\n",
              "      <td>302.966102</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1144</th>\n",
              "      <td>STVJD-1</td>\n",
              "      <td>Vijayawada</td>\n",
              "      <td>16</td>\n",
              "      <td>11</td>\n",
              "      <td>-5</td>\n",
              "      <td>-31.250000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1422</th>\n",
              "      <td>STMLR-1</td>\n",
              "      <td>Mangalore</td>\n",
              "      <td>13</td>\n",
              "      <td>10</td>\n",
              "      <td>-3</td>\n",
              "      <td>-23.076923</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1216</th>\n",
              "      <td>STMLR-1</td>\n",
              "      <td>Mangalore</td>\n",
              "      <td>13</td>\n",
              "      <td>10</td>\n",
              "      <td>-3</td>\n",
              "      <td>-23.076923</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>867</th>\n",
              "      <td>STVJD-1</td>\n",
              "      <td>Vijayawada</td>\n",
              "      <td>13</td>\n",
              "      <td>9</td>\n",
              "      <td>-4</td>\n",
              "      <td>-30.769231</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>455</th>\n",
              "      <td>STTRV-1</td>\n",
              "      <td>Trivandrum</td>\n",
              "      <td>10</td>\n",
              "      <td>9</td>\n",
              "      <td>-1</td>\n",
              "      <td>-10.000000</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>1500 rows × 6 columns</p>\n",
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            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "result",
              "summary": "{\n  \"name\": \"result\",\n  \"rows\": 1500,\n  \"fields\": [\n    {\n      \"column\": \"store_id\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 50,\n        \"samples\": [\n          \"STCHE-5\",\n          \"STHYD-3\",\n          \"STMDU-1\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"city\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 10,\n        \"samples\": [\n          \"Mangalore\",\n          \"Bengaluru\",\n          \"Coimbatore\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"quantity_sold(before_promo)\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 131,\n        \"min\": 10,\n        \"max\": 642,\n        \"num_unique_values\": 334,\n        \"samples\": [\n          355,\n          152,\n          329\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"quantity_sold(after_promo)\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 363,\n        \"min\": 9,\n        \"max\": 2067,\n        \"num_unique_values\": 598,\n        \"samples\": [\n          840,\n          353,\n          43\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Incremental Sold Units (ISU)\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 272,\n        \"min\": -82,\n        \"max\": 1599,\n        \"num_unique_values\": 470,\n        \"samples\": [\n          869,\n          703,\n          1125\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Incremental Sold Units (ISU) %\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 121.9159955045237,\n        \"min\": -31.818181818181817,\n        \"max\": 344.14414414414415,\n        \"num_unique_values\": 1175,\n        \"samples\": [\n          236.53846153846155,\n          -12.166172106824925,\n          53.78151260504202\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 28
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Category Sales Dynamics"
      ],
      "metadata": {
        "id": "R6FHME_OavFJ"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "diff_category = data['category'].value_counts()\n",
        "diff_category"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "pdoxjB74ftSq",
        "outputId": "7a4fe7f2-b037-43f2-fb03-62b7bb198c17"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "category\n",
              "Personal Care        400\n",
              "Grocery & Staples    400\n",
              "Home Care            400\n",
              "Home Appliances      200\n",
              "Combo1               100\n",
              "Name: count, dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 31
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "import pandas as pd\n",
        "import matplotlib.pyplot as plt\n",
        "\n",
        "# Assuming 'data' is your DataFrame\n",
        "# Use value_counts to count occurrences of each category for before and after quantity\n",
        "category_counts_before = data.groupby('category')['quantity_sold(before_promo)'].sum()\n",
        "category_counts_after = data.groupby('category')['quantity_sold'].sum()\n",
        "\n",
        "# Create a figure with two subplots\n",
        "fig, axs = plt.subplots(1, 2, figsize=(14, 7))\n",
        "\n",
        "# Donut chart for quantity before\n",
        "axs[0].pie(category_counts_before, labels=category_counts_before.index, autopct='%1.1f%%', startangle=90)\n",
        "centre_circle = plt.Circle((0,0),0.70,fc='white')\n",
        "axs[0].add_artist(centre_circle)\n",
        "axs[0].set_title('Sales Dynamic Before Promo')\n",
        "\n",
        "# Pie chart for quantity after\n",
        "axs[1].pie(category_counts_after, labels=category_counts_after.index, autopct='%1.1f%%', startangle=90)\n",
        "axs[1].set_title('Sales Dynamic After Promo')\n",
        "\n",
        "# Equal aspect ratio ensures that pie is drawn as a circle.\n",
        "axs[0].axis('equal')\n",
        "axs[1].axis('equal')\n",
        "\n",
        "plt.legend(category_counts_before.index, title=\"Category's\", loc= \"lower center\")\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 540
        },
        "id": "fJxTd51JwKFX",
        "outputId": "1b06c73b-3238-41dc-e702-4a523c4c83f6"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1400x700 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## Finance"
      ],
      "metadata": {
        "id": "dxKyEx5nySuc"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Revenue Trends by Stores"
      ],
      "metadata": {
        "id": "oC8sQErhyXkP"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import pandas as pd\n",
        "\n",
        "# Assuming 'data' is your DataFrame\n",
        "table_data = {\n",
        "    'Store ID': data['store_id'],\n",
        "    'Qty Before': data['quantity_sold(before_promo)'],\n",
        "    'Qty After': data['quantity_sold'],\n",
        "    'Revenue Before': data['revenue_before'],\n",
        "    'Revenue After': data['actual_revenue'],\n",
        "    'IR': (data['quantity_sold'] - data['quantity_sold(before_promo)']),\n",
        "    'IR %': ((data['quantity_sold'] - data['quantity_sold(before_promo)']) / data['quantity_sold(before_promo)']) * 100,\n",
        "    'ISU': (data['actual_revenue'] - data['revenue_before']),\n",
        "    'ISU %': ((data['actual_revenue'] - data['revenue_before']) / data['revenue_before']) * 100\n",
        "}\n",
        "\n",
        "# Create DataFrame from table_data\n",
        "table_df = pd.DataFrame(table_data)\n",
        "\n",
        "# Display the table\n",
        "table_df"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 423
        },
        "id": "hfwPzFX_yW92",
        "outputId": "25b1dbbf-16f5-4fc5-a97a-c4f2cf94d4fb"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "     Store ID  Qty Before  Qty After  Revenue Before  Revenue After   IR  \\\n",
              "0     STCBE-2          34         52            6460        4940.00   18   \n",
              "1     STBLR-8         393        322           61308       37674.00  -71   \n",
              "2     STVJD-0          22        170            6600       25500.00  148   \n",
              "3     STCBE-1         329       1000          987000     2500000.00  671   \n",
              "4     STBLR-6         108         93            5940        3836.25  -15   \n",
              "...       ...         ...        ...             ...            ...  ...   \n",
              "1495  STBLR-3          61         84            3782        2604.00   23   \n",
              "1496  STMDU-1          22         18            1100         675.00   -4   \n",
              "1497  STCBE-0          80        119            4960        3689.00   39   \n",
              "1498  STVSK-0          73        564           25550       98700.00  491   \n",
              "1499  STBLR-9          52         73            3224        2263.00   21   \n",
              "\n",
              "            IR %         ISU       ISU %  \n",
              "0      52.941176    -1520.00  -23.529412  \n",
              "1     -18.066158   -23634.00  -38.549618  \n",
              "2     672.727273    18900.00  286.363636  \n",
              "3     203.951368  1513000.00  153.292806  \n",
              "4     -13.888889    -2103.75  -35.416667  \n",
              "...          ...         ...         ...  \n",
              "1495   37.704918    -1178.00  -31.147541  \n",
              "1496  -18.181818     -425.00  -38.636364  \n",
              "1497   48.750000    -1271.00  -25.625000  \n",
              "1498  672.602740    73150.00  286.301370  \n",
              "1499   40.384615     -961.00  -29.807692  \n",
              "\n",
              "[1500 rows x 9 columns]"
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              "      <th></th>\n",
              "      <th>Store ID</th>\n",
              "      <th>Qty Before</th>\n",
              "      <th>Qty After</th>\n",
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              "      <th>IR %</th>\n",
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              "      <th>ISU %</th>\n",
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              "  </thead>\n",
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              "      <th>0</th>\n",
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              "      <td>34</td>\n",
              "      <td>52</td>\n",
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              "      <td>4940.00</td>\n",
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              "      <td>-23634.00</td>\n",
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              "      <td>170</td>\n",
              "      <td>6600</td>\n",
              "      <td>25500.00</td>\n",
              "      <td>148</td>\n",
              "      <td>672.727273</td>\n",
              "      <td>18900.00</td>\n",
              "      <td>286.363636</td>\n",
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              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>STCBE-1</td>\n",
              "      <td>329</td>\n",
              "      <td>1000</td>\n",
              "      <td>987000</td>\n",
              "      <td>2500000.00</td>\n",
              "      <td>671</td>\n",
              "      <td>203.951368</td>\n",
              "      <td>1513000.00</td>\n",
              "      <td>153.292806</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>STBLR-6</td>\n",
              "      <td>108</td>\n",
              "      <td>93</td>\n",
              "      <td>5940</td>\n",
              "      <td>3836.25</td>\n",
              "      <td>-15</td>\n",
              "      <td>-13.888889</td>\n",
              "      <td>-2103.75</td>\n",
              "      <td>-35.416667</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1495</th>\n",
              "      <td>STBLR-3</td>\n",
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              "      <td>84</td>\n",
              "      <td>3782</td>\n",
              "      <td>2604.00</td>\n",
              "      <td>23</td>\n",
              "      <td>37.704918</td>\n",
              "      <td>-1178.00</td>\n",
              "      <td>-31.147541</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1496</th>\n",
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              "      <td>22</td>\n",
              "      <td>18</td>\n",
              "      <td>1100</td>\n",
              "      <td>675.00</td>\n",
              "      <td>-4</td>\n",
              "      <td>-18.181818</td>\n",
              "      <td>-425.00</td>\n",
              "      <td>-38.636364</td>\n",
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              "    <tr>\n",
              "      <th>1497</th>\n",
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              "      <td>39</td>\n",
              "      <td>48.750000</td>\n",
              "      <td>-1271.00</td>\n",
              "      <td>-25.625000</td>\n",
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              "    <tr>\n",
              "      <th>1498</th>\n",
              "      <td>STVSK-0</td>\n",
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              "      <td>25550</td>\n",
              "      <td>98700.00</td>\n",
              "      <td>491</td>\n",
              "      <td>672.602740</td>\n",
              "      <td>73150.00</td>\n",
              "      <td>286.301370</td>\n",
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              "    <tr>\n",
              "      <th>1499</th>\n",
              "      <td>STBLR-9</td>\n",
              "      <td>52</td>\n",
              "      <td>73</td>\n",
              "      <td>3224</td>\n",
              "      <td>2263.00</td>\n",
              "      <td>21</td>\n",
              "      <td>40.384615</td>\n",
              "      <td>-961.00</td>\n",
              "      <td>-29.807692</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>1500 rows × 9 columns</p>\n",
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              "summary": "{\n  \"name\": \"table_df\",\n  \"rows\": 1500,\n  \"fields\": [\n    {\n      \"column\": \"Store ID\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 50,\n        \"samples\": [\n          \"STBLR-3\",\n          \"STBLR-1\",\n          \"STMYS-3\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Qty Before\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 131,\n        \"min\": 10,\n        \"max\": 642,\n        \"num_unique_values\": 334,\n        \"samples\": [\n          85,\n          278,\n          75\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Qty After\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 667,\n        \"min\": 9,\n        \"max\": 4134,\n        \"num_unique_values\": 657,\n        \"samples\": [\n          620,\n          340,\n          288\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Revenue Before\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 200584,\n        \"min\": 550,\n        \"max\": 1458000,\n        \"num_unique_values\": 895,\n        \"samples\": [\n          100340,\n          876000,\n          42350\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Revenue After\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 483812.9193710997,\n        \"min\": 371.25,\n        \"max\": 3862500.0,\n        \"num_unique_values\": 1154,\n        \"samples\": [\n          437580.0,\n          57400.0,\n          3844.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"IR\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 596,\n        \"min\": -82,\n        \"max\": 3663,\n        \"num_unique_values\": 622,\n        \"samples\": [\n          39,\n          1802,\n          74\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"IR %\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 289.51455437708205,\n        \"min\": -31.818181818181817,\n        \"max\": 788.2882882882883,\n        \"num_unique_values\": 1175,\n        \"samples\": [\n          54.90196078431373,\n          -4.705882352941177,\n          51.9434628975265\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"ISU\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 299717.6529127534,\n        \"min\": -85484.0,\n        \"max\": 2518500.0,\n        \"num_unique_values\": 1134,\n        \"samples\": [\n          -467.5,\n          42300.0,\n          -2280.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"ISU %\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 138.5281841077935,\n        \"min\": -48.86363636363637,\n        \"max\": 344.14414414414415,\n        \"num_unique_values\": 1158,\n        \"samples\": [\n          -8.978401727861772,\n          -22.727272727272727,\n          -28.57142857142857\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 48
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Promotype Frequency"
      ],
      "metadata": {
        "id": "tKj-EF8r6HGf"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import plotly.graph_objects as go\n",
        "\n",
        "# Assuming 'data' is your DataFrame\n",
        "# Use value_counts to count occurrences of each promo type\n",
        "promo_counts = data['promo_type'].value_counts()\n",
        "\n",
        "# Create a waterfall chart\n",
        "fig = go.Figure(go.Waterfall(\n",
        "    orientation = \"v\",\n",
        "    measure = [\"relative\"] * len(promo_counts) + [\"total\"],\n",
        "    x = promo_counts.index.tolist() + [\"Total\"],\n",
        "    y = promo_counts.tolist() + [promo_counts.sum()],\n",
        "    textposition = \"outside\",\n",
        "    text = [\"+{}\".format(val) for val in promo_counts.tolist()] + [\"Total\"],\n",
        "    connector = {\"line\":{\"color\":\"rgb(63, 63, 63)\"}},\n",
        "))\n",
        "\n",
        "fig.update_layout(\n",
        "    title = \"Promotype Frequency\",\n",
        "    xaxis_title = \"Promo Type\",\n",
        "    yaxis_title = \"Frequency\",\n",
        "    showlegend = False\n",
        ")\n",
        "\n",
        "fig.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 542
        },
        "id": "BRAm7lG86Sg1",
        "outputId": "927fe137-823d-46d8-9695-514869916dc5"
      },
      "execution_count": null,
      "outputs": [
        {
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          "metadata": {}
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      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Product Performance by Campaign and Promotion"
      ],
      "metadata": {
        "id": "qWlchBhA6edh"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import pandas as pd\n",
        "\n",
        "# Assuming 'data' is your DataFrame\n",
        "table_data = {\n",
        "    'Product Name': data['product_name'],\n",
        "    'Campaign Name': data['campaign_name'],\n",
        "    'Promo Type': data['promo_type'],\n",
        "    'Qty Sold': data['quantity_sold'],\n",
        "    'Revenue': data['actual_revenue'],\n",
        "    'IR%': ((data['quantity_sold'] - data['quantity_sold(before_promo)']) / data['quantity_sold(before_promo)']) * 100,\n",
        "    'ISU%': ((data['actual_revenue'] - data['revenue_before']) / data['revenue_before']) * 100\n",
        "}\n",
        "\n",
        "# Create DataFrame from table_data\n",
        "table_df = pd.DataFrame(table_data)\n",
        "\n",
        "# Display the table\n",
        "table_df"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 423
        },
        "id": "Tn35BgeK6phB",
        "outputId": "f646c698-0d6d-49d1-9b65-e4f37b7ed0f9"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "                                 Product Name Campaign Name    Promo Type  \\\n",
              "0       Atliq_Doodh_Kesar_Body_Lotion (200ML)     Sankranti       50% OFF   \n",
              "1                     Atliq_Suflower_Oil (1L)        Diwali       25% OFF   \n",
              "2                              Atliq_Curtains     Sankranti         BOGOF   \n",
              "3        Atliq_Home_Essential_8_Product_Combo        Diwali  500 Cashback   \n",
              "4             Atliq_Scrub_Sponge_For_Dishwash        Diwali       25% OFF   \n",
              "...                                       ...           ...           ...   \n",
              "1495      Atliq_Lime_Cool_Bathing_Bar (125GM)     Sankranti       50% OFF   \n",
              "1496  Atliq_Cream_Beauty_Bathing_Soap (125GM)     Sankranti       25% OFF   \n",
              "1497      Atliq_Lime_Cool_Bathing_Bar (125GM)        Diwali       50% OFF   \n",
              "1498              Atliq_High_Glo_15W_LED_Bulb     Sankranti         BOGOF   \n",
              "1499      Atliq_Lime_Cool_Bathing_Bar (125GM)     Sankranti       50% OFF   \n",
              "\n",
              "      Qty Sold     Revenue         IR%        ISU%  \n",
              "0           52     4940.00   52.941176  -23.529412  \n",
              "1          322    37674.00  -18.066158  -38.549618  \n",
              "2          170    25500.00  672.727273  286.363636  \n",
              "3         1000  2500000.00  203.951368  153.292806  \n",
              "4           93     3836.25  -13.888889  -35.416667  \n",
              "...        ...         ...         ...         ...  \n",
              "1495        84     2604.00   37.704918  -31.147541  \n",
              "1496        18      675.00  -18.181818  -38.636364  \n",
              "1497       119     3689.00   48.750000  -25.625000  \n",
              "1498       564    98700.00  672.602740  286.301370  \n",
              "1499        73     2263.00   40.384615  -29.807692  \n",
              "\n",
              "[1500 rows x 7 columns]"
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-b65b5da2-3c6d-4c69-8222-8bfe9effb53e\" class=\"colab-df-container\">\n",
              "    <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>Product Name</th>\n",
              "      <th>Campaign Name</th>\n",
              "      <th>Promo Type</th>\n",
              "      <th>Qty Sold</th>\n",
              "      <th>Revenue</th>\n",
              "      <th>IR%</th>\n",
              "      <th>ISU%</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>0</th>\n",
              "      <td>Atliq_Doodh_Kesar_Body_Lotion (200ML)</td>\n",
              "      <td>Sankranti</td>\n",
              "      <td>50% OFF</td>\n",
              "      <td>52</td>\n",
              "      <td>4940.00</td>\n",
              "      <td>52.941176</td>\n",
              "      <td>-23.529412</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>Atliq_Suflower_Oil (1L)</td>\n",
              "      <td>Diwali</td>\n",
              "      <td>25% OFF</td>\n",
              "      <td>322</td>\n",
              "      <td>37674.00</td>\n",
              "      <td>-18.066158</td>\n",
              "      <td>-38.549618</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>Atliq_Curtains</td>\n",
              "      <td>Sankranti</td>\n",
              "      <td>BOGOF</td>\n",
              "      <td>170</td>\n",
              "      <td>25500.00</td>\n",
              "      <td>672.727273</td>\n",
              "      <td>286.363636</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>Atliq_Home_Essential_8_Product_Combo</td>\n",
              "      <td>Diwali</td>\n",
              "      <td>500 Cashback</td>\n",
              "      <td>1000</td>\n",
              "      <td>2500000.00</td>\n",
              "      <td>203.951368</td>\n",
              "      <td>153.292806</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>Atliq_Scrub_Sponge_For_Dishwash</td>\n",
              "      <td>Diwali</td>\n",
              "      <td>25% OFF</td>\n",
              "      <td>93</td>\n",
              "      <td>3836.25</td>\n",
              "      <td>-13.888889</td>\n",
              "      <td>-35.416667</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>...</th>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "      <td>...</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1495</th>\n",
              "      <td>Atliq_Lime_Cool_Bathing_Bar (125GM)</td>\n",
              "      <td>Sankranti</td>\n",
              "      <td>50% OFF</td>\n",
              "      <td>84</td>\n",
              "      <td>2604.00</td>\n",
              "      <td>37.704918</td>\n",
              "      <td>-31.147541</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1496</th>\n",
              "      <td>Atliq_Cream_Beauty_Bathing_Soap (125GM)</td>\n",
              "      <td>Sankranti</td>\n",
              "      <td>25% OFF</td>\n",
              "      <td>18</td>\n",
              "      <td>675.00</td>\n",
              "      <td>-18.181818</td>\n",
              "      <td>-38.636364</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1497</th>\n",
              "      <td>Atliq_Lime_Cool_Bathing_Bar (125GM)</td>\n",
              "      <td>Diwali</td>\n",
              "      <td>50% OFF</td>\n",
              "      <td>119</td>\n",
              "      <td>3689.00</td>\n",
              "      <td>48.750000</td>\n",
              "      <td>-25.625000</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1498</th>\n",
              "      <td>Atliq_High_Glo_15W_LED_Bulb</td>\n",
              "      <td>Sankranti</td>\n",
              "      <td>BOGOF</td>\n",
              "      <td>564</td>\n",
              "      <td>98700.00</td>\n",
              "      <td>672.602740</td>\n",
              "      <td>286.301370</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1499</th>\n",
              "      <td>Atliq_Lime_Cool_Bathing_Bar (125GM)</td>\n",
              "      <td>Sankranti</td>\n",
              "      <td>50% OFF</td>\n",
              "      <td>73</td>\n",
              "      <td>2263.00</td>\n",
              "      <td>40.384615</td>\n",
              "      <td>-29.807692</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>1500 rows × 7 columns</p>\n",
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            "application/vnd.google.colaboratory.intrinsic+json": {
              "type": "dataframe",
              "variable_name": "table_df",
              "summary": "{\n  \"name\": \"table_df\",\n  \"rows\": 1500,\n  \"fields\": [\n    {\n      \"column\": \"Product Name\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 15,\n        \"samples\": [\n          \"Atliq_Lime_Cool_Bathing_Bar (125GM)\",\n          \"Atliq_Sonamasuri_Rice (10KG)\",\n          \"Atliq_Doodh_Kesar_Body_Lotion (200ML)\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Campaign Name\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 2,\n        \"samples\": [\n          \"Diwali\",\n          \"Sankranti\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Promo Type\",\n      \"properties\": {\n        \"dtype\": \"category\",\n        \"num_unique_values\": 5,\n        \"samples\": [\n          \"25% OFF\",\n          \"33% OFF\"\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Qty Sold\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 667,\n        \"min\": 9,\n        \"max\": 4134,\n        \"num_unique_values\": 657,\n        \"samples\": [\n          620,\n          340\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"Revenue\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 483812.9193710997,\n        \"min\": 371.25,\n        \"max\": 3862500.0,\n        \"num_unique_values\": 1154,\n        \"samples\": [\n          437580.0,\n          57400.0\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"IR%\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 289.51455437708205,\n        \"min\": -31.818181818181817,\n        \"max\": 788.2882882882883,\n        \"num_unique_values\": 1175,\n        \"samples\": [\n          54.90196078431373,\n          -4.705882352941177\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    },\n    {\n      \"column\": \"ISU%\",\n      \"properties\": {\n        \"dtype\": \"number\",\n        \"std\": 138.5281841077935,\n        \"min\": -48.86363636363637,\n        \"max\": 344.14414414414415,\n        \"num_unique_values\": 1158,\n        \"samples\": [\n          -8.978401727861772,\n          -22.727272727272727\n        ],\n        \"semantic_type\": \"\",\n        \"description\": \"\"\n      }\n    }\n  ]\n}"
            }
          },
          "metadata": {},
          "execution_count": 54
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Sales Distribution by Category"
      ],
      "metadata": {
        "id": "6S4tmHsj6qZ3"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import pandas as pd\n",
        "import matplotlib.pyplot as plt\n",
        "\n",
        "# Assuming 'data' is your DataFrame\n",
        "# Group by category and sum the quantity sold\n",
        "category_qty = data.groupby('category')['quantity_sold'].sum()\n",
        "\n",
        "# Sort categories by quantity sold\n",
        "category_qty_sorted = category_qty.sort_values(ascending=False)\n",
        "\n",
        "# Plot the bar chart\n",
        "plt.figure(figsize=(10, 6))\n",
        "bars = plt.bar(category_qty_sorted.index, category_qty_sorted.values)\n",
        "\n",
        "# Add labels to the bars\n",
        "for bar in bars:\n",
        "    yval = bar.get_height()\n",
        "    plt.text(bar.get_x() + bar.get_width()/2, yval, f'{yval/1000:.1f}k', va='bottom')\n",
        "\n",
        "# Customize the plot\n",
        "plt.xlabel('Category')\n",
        "plt.ylabel('Quantity Sold')\n",
        "plt.title('Quantity Sold by Category')\n",
        "plt.xticks(rotation=45)\n",
        "plt.tight_layout()\n",
        "\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 607
        },
        "id": "ZlC-II-F6vVO",
        "outputId": "647f1f5c-fe5b-43e4-a677-b8a72f722fde"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### Revenue Distribution by Category\n"
      ],
      "metadata": {
        "id": "tWxpH7ha6vyP"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "import pandas as pd\n",
        "import matplotlib.pyplot as plt\n",
        "\n",
        "# Assuming 'data' is your DataFrame\n",
        "# Use value_counts to count occurrences of each category\n",
        "category_counts = data['category'].value_counts()\n",
        "\n",
        "# Create a donut chart\n",
        "plt.figure(figsize=(8, 8))\n",
        "plt.pie(category_counts, labels=category_counts.index, autopct='%1.1f%%', startangle=90)\n",
        "\n",
        "# Draw a circle at the center to make it a donut chart\n",
        "centre_circle = plt.Circle((0,0),0.70,fc='white')\n",
        "fig = plt.gcf()\n",
        "fig.gca().add_artist(centre_circle)\n",
        "\n",
        "# Equal aspect ratio ensures that pie is drawn as a circle.\n",
        "plt.axis('equal')\n",
        "\n",
        "plt.title('Donut Chart of Category Distribution')\n",
        "plt.legend(category_counts.index, title=\"Category\", loc = \"lower center\")\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 675
        },
        "id": "oV92AbWG80Mt",
        "outputId": "84d3ea54-e37e-4e78-eee2-b77466c6a334"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 800x800 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    }
  ]
}