Project_1_Part_4.ipynb

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        "<a href=\"https://colab.research.google.com/github/AsmaBenHmidene/food-sales-predictions/blob/main/Project_1_Part_4.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
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      "source": [
        "We will continue to work on your sales prediction project. The goal of this is to help the retailer understand the properties of products and outlets that play crucial roles in increasing sales.\n",
        "\n",
        "For Part 4, your task is to build several data visualizations to help your stakeholders better understand trends in the data. Feel free to get creative with this week - this is your chance to set your project apart from others with exceptional visualizations and analyses.\n",
        "\n",
        "Build on your previous cleaning, exploration, and analysis.  \n",
        "Create a minimum of two data visualizations that help others understand trends in the data (explanatory data analysis).\n",
        "Since these graphs are for reporting purposes, make sure they look nice by including titles, legends, etc."
      ],
      "metadata": {
        "id": "9Doh_glpmp5N"
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      "cell_type": "markdown",
      "source": [
        "#I.Load data:"
      ],
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        "id": "Tz_8WiHJGU9g"
      }
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        "outputId": "caf16182-45de-4de5-b3a0-cd11b8b8268c"
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      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "Mounted at /content/drive\n"
          ]
        }
      ],
      "source": [
        "from google.colab import drive\n",
        "drive.mount('/content/drive')"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "n-qw57QjjCOt"
      },
      "outputs": [],
      "source": [
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns\n",
        "import pandas as pd\n",
        "import numpy as np\n",
        "import matplotlib as mpl"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
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        "id": "EOf-4E43jSbN",
        "outputId": "22bf2643-f3ec-46e1-f19c-3b65b1301a0c"
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      "outputs": [
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          "data": {
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              "  Item_Identifier  Item_Weight Item_Fat_Content  Item_Visibility  \\\n",
              "0           FDA15         9.30          Low Fat         0.016047   \n",
              "1           DRC01         5.92          Regular         0.019278   \n",
              "2           FDN15        17.50          Low Fat         0.016760   \n",
              "3           FDX07        19.20          Regular         0.000000   \n",
              "4           NCD19         8.93          Low Fat         0.000000   \n",
              "\n",
              "               Item_Type  Item_MRP Outlet_Identifier  \\\n",
              "0                  Dairy  249.8092            OUT049   \n",
              "1            Soft Drinks   48.2692            OUT018   \n",
              "2                   Meat  141.6180            OUT049   \n",
              "3  Fruits and Vegetables  182.0950            OUT010   \n",
              "4              Household   53.8614            OUT013   \n",
              "\n",
              "   Outlet_Establishment_Year Outlet_Size Outlet_Location_Type  \\\n",
              "0                       1999      Medium               Tier 1   \n",
              "1                       2009      Medium               Tier 3   \n",
              "2                       1999      Medium               Tier 1   \n",
              "3                       1998         NaN               Tier 3   \n",
              "4                       1987        High               Tier 3   \n",
              "\n",
              "         Outlet_Type  Item_Outlet_Sales  \n",
              "0  Supermarket Type1          3735.1380  \n",
              "1  Supermarket Type2           443.4228  \n",
              "2  Supermarket Type1          2097.2700  \n",
              "3      Grocery Store           732.3800  \n",
              "4  Supermarket Type1           994.7052  "
            ],
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              "      <th>Item_Fat_Content</th>\n",
              "      <th>Item_Visibility</th>\n",
              "      <th>Item_Type</th>\n",
              "      <th>Item_MRP</th>\n",
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              "      <th>0</th>\n",
              "      <td>FDA15</td>\n",
              "      <td>9.30</td>\n",
              "      <td>Low Fat</td>\n",
              "      <td>0.016047</td>\n",
              "      <td>Dairy</td>\n",
              "      <td>249.8092</td>\n",
              "      <td>OUT049</td>\n",
              "      <td>1999</td>\n",
              "      <td>Medium</td>\n",
              "      <td>Tier 1</td>\n",
              "      <td>Supermarket Type1</td>\n",
              "      <td>3735.1380</td>\n",
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              "      <th>1</th>\n",
              "      <td>DRC01</td>\n",
              "      <td>5.92</td>\n",
              "      <td>Regular</td>\n",
              "      <td>0.019278</td>\n",
              "      <td>Soft Drinks</td>\n",
              "      <td>48.2692</td>\n",
              "      <td>OUT018</td>\n",
              "      <td>2009</td>\n",
              "      <td>Medium</td>\n",
              "      <td>Tier 3</td>\n",
              "      <td>Supermarket Type2</td>\n",
              "      <td>443.4228</td>\n",
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              "      <td>FDN15</td>\n",
              "      <td>17.50</td>\n",
              "      <td>Low Fat</td>\n",
              "      <td>0.016760</td>\n",
              "      <td>Meat</td>\n",
              "      <td>141.6180</td>\n",
              "      <td>OUT049</td>\n",
              "      <td>1999</td>\n",
              "      <td>Medium</td>\n",
              "      <td>Tier 1</td>\n",
              "      <td>Supermarket Type1</td>\n",
              "      <td>2097.2700</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>FDX07</td>\n",
              "      <td>19.20</td>\n",
              "      <td>Regular</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>Fruits and Vegetables</td>\n",
              "      <td>182.0950</td>\n",
              "      <td>OUT010</td>\n",
              "      <td>1998</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Tier 3</td>\n",
              "      <td>Grocery Store</td>\n",
              "      <td>732.3800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>NCD19</td>\n",
              "      <td>8.93</td>\n",
              "      <td>Low Fat</td>\n",
              "      <td>0.000000</td>\n",
              "      <td>Household</td>\n",
              "      <td>53.8614</td>\n",
              "      <td>OUT013</td>\n",
              "      <td>1987</td>\n",
              "      <td>High</td>\n",
              "      <td>Tier 3</td>\n",
              "      <td>Supermarket Type1</td>\n",
              "      <td>994.7052</td>\n",
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            ]
          },
          "metadata": {},
          "execution_count": 3
        }
      ],
      "source": [
        "filename = '/content/drive/MyDrive/Coding Dojo/Week2/sales_predictions_2023 (1).csv'\n",
        "df1 = pd.read_csv(filename)\n",
        "df1.head()"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "SlbOO34ZqUFU"
      },
      "source": [
        "#II.cleaning data:"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df1.shape"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "IYQugMRyLex7",
        "outputId": "021f7223-886c-4a89-c694-9895eccc520a"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(8523, 12)"
            ]
          },
          "metadata": {},
          "execution_count": 4
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "data type:"
      ],
      "metadata": {
        "id": "L8-ix-BcxqLd"
      }
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "kx1SKSNmjyAr",
        "outputId": "0a5a1d0d-94a4-440b-a063-7e4908f73640"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stdout",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 8523 entries, 0 to 8522\n",
            "Data columns (total 12 columns):\n",
            " #   Column                     Non-Null Count  Dtype  \n",
            "---  ------                     --------------  -----  \n",
            " 0   Item_Identifier            8523 non-null   object \n",
            " 1   Item_Weight                7060 non-null   float64\n",
            " 2   Item_Fat_Content           8523 non-null   object \n",
            " 3   Item_Visibility            8523 non-null   float64\n",
            " 4   Item_Type                  8523 non-null   object \n",
            " 5   Item_MRP                   8523 non-null   float64\n",
            " 6   Outlet_Identifier          8523 non-null   object \n",
            " 7   Outlet_Establishment_Year  8523 non-null   int64  \n",
            " 8   Outlet_Size                6113 non-null   object \n",
            " 9   Outlet_Location_Type       8523 non-null   object \n",
            " 10  Outlet_Type                8523 non-null   object \n",
            " 11  Item_Outlet_Sales          8523 non-null   float64\n",
            "dtypes: float64(4), int64(1), object(7)\n",
            "memory usage: 799.2+ KB\n"
          ]
        }
      ],
      "source": [
        "df1.info()"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Duplicates:"
      ],
      "metadata": {
        "id": "mz6lpydNxsNP"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df1.duplicated().sum()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "4tpOz5wDLLtQ",
        "outputId": "a392691f-3383-4796-e7ec-8fa9b0842fd3"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "0"
            ]
          },
          "metadata": {},
          "execution_count": 6
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "irrelevent data:"
      ],
      "metadata": {
        "id": "52gioELvxuOE"
      }
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
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        },
        "id": "zfOqsrSm0GsP",
        "outputId": "198f5355-2792-4c58-bdd5-36b916bea19b"
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      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Item_Identifier              1559\n",
              "Item_Weight                   415\n",
              "Item_Fat_Content                5\n",
              "Item_Visibility              7880\n",
              "Item_Type                      16\n",
              "Item_MRP                     5938\n",
              "Outlet_Identifier              10\n",
              "Outlet_Establishment_Year       9\n",
              "Outlet_Size                     3\n",
              "Outlet_Location_Type            3\n",
              "Outlet_Type                     4\n",
              "Item_Outlet_Sales            3493\n",
              "dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 7
        }
      ],
      "source": [
        "df1.nunique()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
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        },
        "id": "3_zLzKQJwFj5",
        "outputId": "7c638630-e6bf-4396-fc5e-059413f7301c"
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      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "   Item_Weight Item_Fat_Content              Item_Type  Item_MRP Outlet_Size  \\\n",
              "0         9.30          Low Fat                  Dairy  249.8092      Medium   \n",
              "1         5.92          Regular            Soft Drinks   48.2692      Medium   \n",
              "2        17.50          Low Fat                   Meat  141.6180      Medium   \n",
              "3        19.20          Regular  Fruits and Vegetables  182.0950         NaN   \n",
              "4         8.93          Low Fat              Household   53.8614        High   \n",
              "\n",
              "  Outlet_Location_Type        Outlet_Type  Item_Outlet_Sales  \n",
              "0               Tier 1  Supermarket Type1          3735.1380  \n",
              "1               Tier 3  Supermarket Type2           443.4228  \n",
              "2               Tier 1  Supermarket Type1          2097.2700  \n",
              "3               Tier 3      Grocery Store           732.3800  \n",
              "4               Tier 3  Supermarket Type1           994.7052  "
            ],
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              "      <th>Item_Weight</th>\n",
              "      <th>Item_Fat_Content</th>\n",
              "      <th>Item_Type</th>\n",
              "      <th>Item_MRP</th>\n",
              "      <th>Outlet_Size</th>\n",
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              "      <th>0</th>\n",
              "      <td>9.30</td>\n",
              "      <td>Low Fat</td>\n",
              "      <td>Dairy</td>\n",
              "      <td>249.8092</td>\n",
              "      <td>Medium</td>\n",
              "      <td>Tier 1</td>\n",
              "      <td>Supermarket Type1</td>\n",
              "      <td>3735.1380</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1</th>\n",
              "      <td>5.92</td>\n",
              "      <td>Regular</td>\n",
              "      <td>Soft Drinks</td>\n",
              "      <td>48.2692</td>\n",
              "      <td>Medium</td>\n",
              "      <td>Tier 3</td>\n",
              "      <td>Supermarket Type2</td>\n",
              "      <td>443.4228</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>2</th>\n",
              "      <td>17.50</td>\n",
              "      <td>Low Fat</td>\n",
              "      <td>Meat</td>\n",
              "      <td>141.6180</td>\n",
              "      <td>Medium</td>\n",
              "      <td>Tier 1</td>\n",
              "      <td>Supermarket Type1</td>\n",
              "      <td>2097.2700</td>\n",
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              "    <tr>\n",
              "      <th>3</th>\n",
              "      <td>19.20</td>\n",
              "      <td>Regular</td>\n",
              "      <td>Fruits and Vegetables</td>\n",
              "      <td>182.0950</td>\n",
              "      <td>NaN</td>\n",
              "      <td>Tier 3</td>\n",
              "      <td>Grocery Store</td>\n",
              "      <td>732.3800</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>4</th>\n",
              "      <td>8.93</td>\n",
              "      <td>Low Fat</td>\n",
              "      <td>Household</td>\n",
              "      <td>53.8614</td>\n",
              "      <td>High</td>\n",
              "      <td>Tier 3</td>\n",
              "      <td>Supermarket Type1</td>\n",
              "      <td>994.7052</td>\n",
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            ]
          },
          "metadata": {},
          "execution_count": 8
        }
      ],
      "source": [
        "df= df1.drop(columns=['Outlet_Establishment_Year', 'Item_Identifier', 'Outlet_Identifier', 'Item_Visibility'])\n",
        "df.head()"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "missing value:"
      ],
      "metadata": {
        "id": "WjaUhmnGxzaL"
      }
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "dD_QfmbRPr9X",
        "outputId": "9610aa39-5a6d-466f-c9c9-a94811ee2670"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Item_Weight             1463\n",
              "Item_Fat_Content           0\n",
              "Item_Type                  0\n",
              "Item_MRP                   0\n",
              "Outlet_Size             2410\n",
              "Outlet_Location_Type       0\n",
              "Outlet_Type                0\n",
              "Item_Outlet_Sales          0\n",
              "dtype: int64"
            ]
          },
          "metadata": {},
          "execution_count": 9
        }
      ],
      "source": [
        "df.isna().sum()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "O7BRbuiBA-Nb"
      },
      "outputs": [],
      "source": [
        "df['Outlet_Size'].fillna('Medium', inplace=True)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "zam0S7p13ANu",
        "outputId": "81e8c2cb-cb39-48d4-8a60-acfc8d7a0c22"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Medium    61.05\n",
              "Small     28.02\n",
              "High      10.94\n",
              "Name: Outlet_Size, dtype: float64"
            ]
          },
          "metadata": {},
          "execution_count": 11
        }
      ],
      "source": [
        "df['Outlet_Size'].value_counts(normalize = True).mul(100).round(2)"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df['Item_Weight'].fillna(value =df['Item_Weight'].mean(),inplace=True )"
      ],
      "metadata": {
        "id": "pG_tqH6-xfI8"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "markdown",
      "source": [
        "Inconsistent categories of data"
      ],
      "metadata": {
        "id": "6EIZj8nWx4ua"
      }
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "BM4H6SuiER5b",
        "outputId": "a8b15f0d-33dc-47c1-feb3-2ea6f2c6b0a7"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Low Fat    59.71\n",
              "Regular    33.90\n",
              "LF          3.71\n",
              "reg         1.37\n",
              "low fat     1.31\n",
              "Name: Item_Fat_Content, dtype: float64"
            ]
          },
          "metadata": {},
          "execution_count": 13
        }
      ],
      "source": [
        "df['Item_Fat_Content'].value_counts(normalize = True).mul(100).round(2)"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "-idinmrYI3JI",
        "outputId": "35c99483-345f-4915-e9d3-140c4e215598"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Low Fat    64.73\n",
              "Regular    35.27\n",
              "Name: Item_Fat_Content, dtype: float64"
            ]
          },
          "metadata": {},
          "execution_count": 14
        }
      ],
      "source": [
        "df['Item_Fat_Content'] = df['Item_Fat_Content'].replace('LF','Low Fat').replace('low fat','Low Fat').replace('reg','Regular')\n",
        "df['Item_Fat_Content'].value_counts(normalize = True).mul(100).round(2)"
      ]
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "ZS97YRTDskKK"
      },
      "source": [
        "#III.Data Visualization"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "#Objective: Help the retailer understand the properties of products and outlets that play crucial roles in increasing sales."
      ],
      "metadata": {
        "id": "7dWQFHhHG3U7"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "1.Analyse the relation between Item Outlet Sales and Item Type/Item Fat Content:"
      ],
      "metadata": {
        "id": "o8ehHpSfDtOD"
      }
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 585
        },
        "id": "-F3YiQGPtjpK",
        "outputId": "639d2086-ee23-4c1e-d55d-516972555dbd"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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hDxGp1NOnT9G0aVP06NEDGzZswJ07d9CnTx8YGBggICAAtWvXxps3b3DlyhVUrVoVoaGhKFy4sFJiEhoaitGjR+c6dnp6OooVK4Y//vgDhQoVwpkzZ/Djjz/Czs4O7du3x8iRI3H79m0kJiZi3bp1ALi0CBERZWAPEanU8uXL4eDggKVLl6Js2bJo3bo1Jk+ejPnz5yM9PR3m5uaoWLGilAAdP34cw4cPx5UrV5CUlISnT5/iwYMHqFu37lfjjB49WmkR2cWLF6NgwYKYPHkyqlatCmdnZ3Tp0gU9e/bEtm3bAAAmJiYwNDSEvr6+1LOkp6cn91NCRETfACZEpFK3b9+Gp6cnFAqFtK9mzZpISkrCkydPAAB169bF8ePHIYTAyZMn0bZtW7i6uuLUqVMIDQ2Fvb09XFxcvhpn1KhRCA8Pl7bu3TNmyi1btgxVqlSBtbU1TExM8OuvvyIqKkq+B0xERPkCL5mR2nl5eWHt2rW4evUqChYsiLJly8LLywvHjx/H69ev/7F3CAAKFy4sLQqcacuWLRg5ciTmz58PT09PmJqaYu7cuTh37pxcD4WIiPIJ9hCRSrm6uiIsLAxCCGnf6dOnYWpqKk2NzxxHFBgYKCU/mQnR8ePH4eXl9a9inz59Gt9//z0GDBiASpUqoVSpUoiIiFA6R09PTxrQTURElIkJEf0rCQkJSpeswsPDER0djQEDBiA6OhqDBw/GnTt3sHv3bkyaNAn+/v7Q0cl4uVlaWsLDwwObNm2Skp86derg8uXLuHfvXo56iLLj4uKCixcv4uDBg7h37x4mTJiACxcuKJ3j5OSEa9eu4e7du/j777/x8ePH//Q8EBFR/sBLZnlUXq8effz4cVSqVElpn5+fH1avXo39+/dj1KhRqFChAqysrODn56e0KC+QMY4oPDxcSoisrKzg5uaGuLg4lClT5l+1qW/fvrhy5Qo6dOgAhUKBTp06YcCAAThw4IB0Tp8+fXD8+HFUrVoVSUlJOHbs2L/ukSIiovxDIT69tkHZSkxMhLm5ORISEmBmZqZ07P3794iMjISzszMMDAw01ELKS/iaICKSV+fOnREXFwcAsLGxwebNm7M972uf35/jJTMiIiLSekyIiIiISOsxISIiIiKtx4SIiIiItB4TIiIiItJ6TIiIiIhI6zEhIiIiIq3HhIiIiIi0HhMiIiIi0npcuiOPiprirrZYxSdeV1ssVevRowfi4+Oxa9cuTTeFiIi+Yewhon+lR48eUCgUUCgUKFiwIJydnfHTTz/h/fv3mm4aERFRrrGHiP61xo0bY926dfj48SMuXboEX19fKBQKzJ49W9NNy5WPHz+iYMGCmm4GERFpEHuI6F/T19eHra0tHBwc0Lp1a3h7e+Pw4cMAgPT0dMycORPOzs4wNDREhQoVsH37dqXf37NnD1xcXGBgYIB69eph/fr1UCgUiI+PBwAEBASgYsWKSr+zcOFCODk5fbFNwcHBqFWrFiwsLFCoUCE0b94cERER0vFHjx5BoVBg69atqFu3LgwMDLBp0yaVPB9ERPTtYkJEKnHjxg2cOXMGenp6AICZM2diw4YNWLlyJW7evInhw4eja9euCA0NBQBERkbif//7H1q3bo2rV6+ib9++GDdu3H9uR3JyMvz9/XHx4kWEhIRAR0cHbdq0QXp6utJ5Y8aMwdChQ3H79m34+Pj857hERPRt4yUz+tf27t0LExMTpKamIiUlBTo6Oli6dClSUlIwY8YMHDlyBJ6engCAEiVK4NSpU/jll19Qt25d/PLLLyhTpgzmzp0LAChTpgxu3LiB6dOn/6c2tWvXTun22rVrYW1tjVu3bqF8+fLS/mHDhqFt27b/KRYREeUfTIjoX6tXrx5WrFiB5ORkBAYGokCBAmjXrh1u3ryJt2/fomHDhkrnf/jwAZUqVQIA3L17F999953S8WrVqv3nNt2/fx8TJ07EuXPn8Pfff0s9Q1FRUUoJUdWqVf9zLCIiyj+YENG/ZmxsjFKlSgHI6ImpUKEC1qxZIyUe+/btQ9GiRZV+R19fP8f3r6OjAyGE0r6PHz9+9XdatGgBR0dHrFq1Cvb29khPT0f58uXx4cOHLG0nIiLKxISIVEJHRwc///wz/P39ce/ePejr6yMqKgp169bN9vwyZcpg//79SvsuXLigdNva2hqxsbEQQkChUAAAwsPDv9iGly9f4u7du1i1ahVq164NADh16tR/eFRERKQtOKiaVOaHH36Arq4ufvnlF4wcORLDhw/H+vXrERERgcuXL2PJkiVYv349AKBv3764c+cORo8ejXv37mHbtm0ICgoCACn58fLywosXLzBnzhxERERg2bJlOHDgwBfjW1paolChQvj111/x4MEDHD16FP7+/rI/biIi+vaxhyiP+harRxcoUACDBg3CnDlzEBkZCWtra8ycORMPHz6EhYUFKleujJ9//hkA4OzsjO3bt2PEiBFYtGgRPD09MW7cOPTv31+6rObq6orly5djxowZmDp1Ktq1a4eRI0fi119/zTa+jo4OtmzZgiFDhqB8+fIoU6YMFi9eDC8vL3U9BZRPDR06FC9evACQ0XO5aNEiDbeIiFRNIT4fpEFZJCYmwtzcHAkJCTAzM1M69v79e0RGRsLZ2RkGBgYaamH+MH36dKxcuRLR0dGabsp/wtdE/tO5c2fExcUBAGxsbLB582YNt4hIu+X0b/Jrn9+fYw8Raczy5cvx3XffoVChQjh9+jTmzp2LQYMGabpZRESkhZgQkcbcv38f06ZNw6tXr1C8eHGMGDECY8eO1XSziIhICzEhIo0JDAxEYGCgpptBRETEWWZEREREGk2IVqxYAQ8PD5iZmcHMzAyenp5K06rfv3+PgQMHolChQjAxMUG7du2kQVSZoqKi0KxZMxgZGaFIkSIYNWoUUlNTlc45fvw4KleuDH19fZQqVUqa3q1Kn6+VRdqLrwUiom+PRi+ZFStWDLNmzYKLiwuEEFi/fj1atWqFK1euoFy5chg+fDj27duHP/74A+bm5hg0aBDatm2L06dPAwDS0tLQrFkz2Nra4syZM4iJiUH37t1RsGBBzJgxA0DGIqLNmjVDv379sGnTJoSEhKB3796ws7NTyaKeenp60NHRwbNnz2BtbQ09PT2pjg5pFyEEPnz4gBcvXkBHR0da6JaIiPK+PDft3srKCnPnzsX//vc/WFtbY/Pmzfjf//4HALhz5w5cXV0RFhaGGjVq4MCBA2jevDmePXsGGxsbAMDKlSsxevRovHjxAnp6ehg9ejT27duHGzduSDE6duyI+Ph4BAcHZ9uGlJQUpKSkSLcTExPh4ODwxWl7Hz58QExMDN6+favKp4K+UUZGRrCzs2NClI9w2j1R3pKvp92npaXhjz/+QHJyMjw9PXHp0iV8/PgR3t7e0jlly5ZF8eLFpYQoLCwM7u7uUjIEAD4+Pujfvz9u3ryJSpUqISwsTOk+Ms8ZNmzYF9syc+ZMTJ48Ocdt19PTQ/HixZGamoq0tLScP2jKd3R1dVGgQAH2EhIRfWM0nhBdv34dnp6eeP/+PUxMTLBz5064ubkhPDwcenp6sLCwUDrfxsYGsbGxAIDY2FilZCjzeOaxr52TmJiId+/ewdDQMEubxo4dq7TkQ2YP0dcoFAoULFgQBQsWzNkDJyIiojxD4wlRmTJlEB4ejoSEBGzfvh2+vr4IDQ3VaJv09fVztSo7ERGRKnCZGM3ReEKkp6eHUqVKAQCqVKmCCxcuYNGiRejQoQM+fPiA+Ph4pV6iuLg42NraAgBsbW1x/vx5pfvLvKb46Tmfz0yLi4uDmZlZtr1DREREmvLixYssn1mkHnmuDlF6ejpSUlJQpUoVFCxYECEhIdKxu3fvIioqCp6engAAT09PXL9+Hc+fP5fOOXz4MMzMzODm5iad8+l9ZJ6TeR9EREREGu0hGjt2LJo0aYLixYvjzZs32Lx5M44fP46DBw/C3Nwcfn5+8Pf3h5WVFczMzDB48GB4enqiRo0aAIBGjRrBzc0N3bp1w5w5cxAbG4vx48dj4MCB0iWvfv36YenSpfjpp5/Qq1cvHD16FNu2bcO+ffs0+dCJiIgoD9FoQvT8+XN0794dMTExMDc3h4eHBw4ePIiGDRsCyFjaQUdHB+3atUNKSgp8fHywfPly6fd1dXWxd+9e9O/fH56enjA2Noavry+mTJkinePs7Ix9+/Zh+PDhWLRoEYoVK4bVq1erpAYRERER5Q8aTYjWrFnz1eMGBgZYtmwZli1b9sVzHB0dsX///q/ej5eXF65cufKv2khERET5X54bQ0RERESkbkyIiIiISOtpfNo9ERER0ddETXFXup0aXwiA7v//+VmW48UnXs91DPYQERERkdZjQkRERERajwkRERERaT0mRERERKT1mBARERGR1mNCRERERFqPCRERERFpPSZEREREpPWYEBEREZHWY0JEREREWo8JEREREWk9JkRERESk9ZgQERERkdZjQkRERERajwkRERERaT0mRERERKT1mBARERGR1mNCRERERFqPCRERERFpPSZEREREpPWYEBEREZHWY0JEREREWo8JEREREWk9JkRERESk9ZgQERERkdYroOkGaKuhQ4fixYsXAABra2ssWrRIwy0iIiLSXkyINOTFixeIi4vTdDOIiIgIvGRGRERExISIiIiIiAkRERERaT0mRERERKT1mBARERGR1uMsM9IaLHXw3/E5JMqKfxf5AxMi0hosdfDf8Tkkyuq//F1UGbVB6bbZ6yTp0k3M66Qsxy/N7f6v4tA/Y0JERET0jWLvlOpodAzRzJkz8d1338HU1BRFihRB69atcffuXaVzvLy8oFAolLZ+/fopnRMVFYVmzZrByMgIRYoUwahRo5Camqp0zvHjx1G5cmXo6+ujVKlSCAoKkvvhERERySqzdyouLk5KjOjf0WhCFBoaioEDB+Ls2bM4fPgwPn78iEaNGiE5OVnpvD59+iAmJkba5syZIx1LS0tDs2bN8OHDB5w5cwbr169HUFAQJk6cKJ0TGRmJZs2aoV69eggPD8ewYcPQu3dvHDx4UG2PlYiIiPIujV4yCw4OVrodFBSEIkWK4NKlS6hTp46038jICLa2ttnex6FDh3Dr1i0cOXIENjY2qFixIqZOnYrRo0cjICAAenp6WLlyJZydnTF//nwAgKurK06dOoXAwED4+PjI9wCJiIjom5Cnpt0nJCQAAKysrJT2b9q0CYULF0b58uUxduxYvH37VjoWFhYGd3d32NjYSPt8fHyQmJiImzdvSud4e3sr3aePjw/CwsKybUdKSgoSExOVNiIiIsq/8syg6vT0dAwbNgw1a9ZE+fLlpf2dO3eGo6Mj7O3tce3aNYwePRp3797Fjh07AACxsbFKyRAA6XZsbOxXz0lMTMS7d+9gaGiodGzmzJmYPHmyyh8jERHlfRyorH554TnPMwnRwIEDcePGDZw6dUpp/48//ij97O7uDjs7OzRo0AAREREoWbKkLG0ZO3Ys/P39pduJiYlwcHCQJRYREeUtLC+hfnnhOc8Tl8wGDRqEvXv34tixYyhWrNhXz61evToA4MGDBwAAW1vbLE9i5u3McUdfOsfMzCxL7xAA6Ovrw8zMTGkjIiKi/EujPURCCAwePBg7d+7E8ePH4ezs/I+/Ex4eDgCws7MDAHh6emL69Ol4/vw5ihQpAgA4fPgwzMzM4ObmJp2zf/9+pfs5fPgwPD09VfhoKCfyQrcoEeU/fG+h/0qjCdHAgQOxefNm7N69G6amptKYH3NzcxgaGiIiIgKbN29G06ZNUahQIVy7dg3Dhw9HnTp14OHhAQBo1KgR3Nzc0K1bN8yZMwexsbEYP348Bg4cCH19fQBAv379sHTpUvz000/o1asXjh49im3btmHfvn0ae+zaKi90ixJR/sP3FvqvNHrJbMWKFUhISICXlxfs7OykbevWrQAAPT09HDlyBI0aNULZsmUxYsQItGvXDn/99Zd0H7q6uti7dy90dXXh6emJrl27onv37pgyZYp0jrOzM/bt24fDhw+jQoUKmD9/PlavXs0p90RERAQgD1wy+xoHBweEhob+4/04OjpmuST2OS8vL1y5ciVX7SMiIiLtkGdmmRER5RVccJNI+zAhIqIvYmJAmsJB0qRuTIgo34qa4q50OzW+EADd///zsyzHi0+8rq6mEdE/4CBpUjcmRET/Ar+9EhHlL0yIiP4FfnslIspfmBCpCS/fENG3hj2hpE2YEBERUbbYE0rahAkRUT6nrd/ytfVxE9G/w4RIRfjmq358znNGW7/la+vjJqJ/hwmRivDNV/34nBMRkaowIdJC7Fkhkhf/xoi+PUyItJAqe1b4xk+UFXsvib49TIjoP+EbP6kLk28ikhMTIiL6JjD5JiI56fzzKURERET5m0oSovj4eFXcDRHlcekFjZGu9/+3gsaabg4Rkcrk+pLZ7Nmz4eTkhA4dOgAA2rdvjz///BO2trbYv38/KlSooPJGEmlalVEblG6bvU6Svk3EvE7KcvzS3O5qapl6JZVpkqvzOe6HiL4Vue4hWrlyJRwcHAAAhw8fxuHDh3HgwAE0adIEo0aNUnkDiejblTnuJy4uTkqMiIjyolz3EMXGxkoJ0d69e9G+fXs0atQITk5OqF69usobSN+2vLSorZV+WrY/E9G3Jy+9t1D+kOuEyNLSEtHR0XBwcEBwcDCmTZsGABBCIC2NHzKawMsSOfNzpXhNN4GI8gEmY/lTrhOitm3bonPnznBxccHLly/RpEnGmIIrV66gVKlSKm8g/TNORyYiIm0iR49/rhOiwMBAODk5ITo6GnPmzIGJiQkAICYmBgMGDFBJo4iISLvkduLCTlM1NYzyJDl6/HOdEBUsWBAjR47Msn/48OEqaRARERGRuv2rOkQbN25ErVq1YG9vj8ePHwMAFi5ciN27d6u0cURERETqkOseohUrVmDixIkYNmwYpk+fLg2ktrCwwMKFC9GqVSuVN5IIYJc6EcmD7y0E/IuEaMmSJVi1ahVat26NWbNmSfurVq2a7aU0IiL69ziLlNRF219ruU6IIiMjUalSpSz79fX1kZycrJJGERFRBs4i1S6fLomj7uVxtP21luuEyNnZGeHh4XB0dFTaHxwcDFdXV5U1LK9jFyvlVdpaI0VbHzflL/+0PA5f5/LJdULk7++PgQMH4v379xBC4Pz58/j9998xc+ZMrF69Wo42EuU5mvwWRyQXrtlH2izXCVHv3r1haGiI8ePH4+3bt+jcuTPs7e2xaNEidOzYUY425ktcRuLblttFTomIKG/LdUIEAF26dEGXLl3w9u1bJCUloUiRIqpuV77HZSSIvo6XpYlInf5VQpTJyMgIRkZGqmoLERERkUbkKCGqVKkSFApFju7w8uXL/6lBRPTt4oBPIvpW5Sghat26tczNICIiItKcHCVEkyZNkrsdRERERBrzr9YyIyIiIspPcj2oOi0tDYGBgdi2bRuioqLw4cMHpeOvXr1SWeOIiIiI1CHXPUSTJ0/GggUL0KFDByQkJMDf3x9t27aFjo4OAgICZGgiERERkbxy3UO0adMmrFq1Cs2aNUNAQAA6deqEkiVLwsPDA2fPnsWQIUNyfF8zZ87Ejh07cOfOHRgaGuL777/H7NmzUaZMGemc9+/fY8SIEdiyZQtSUlLg4+OD5cuXw8bGRjonKioK/fv3x7Fjx2BiYgJfX1/MnDkTBQr838M7fvw4/P39cfPmTTg4OGD8+PHo0aNHbh9+nqDJarJ5qTYMq0UT5V+5/ftmsVv6r3KdEMXGxsLdPWPqrImJCRISEgAAzZs3x4QJE3J1X6GhoRg4cCC+++47pKam4ueff0ajRo1w69YtGBtn/AEMHz4c+/btwx9//AFzc3MMGjQIbdu2xenTpwFkXMJr1qwZbG1tcebMGcTExKB79+4oWLAgZsyYASBjQdpmzZqhX79+2LRpE0JCQtC7d2/Y2dnBx8cnt08B/QeqfNNitWii/Cu3f98sdkv/Va4TomLFiiEmJgbFixdHyZIlcejQIVSuXBkXLlyAvr5+ru4rODhY6XZQUBCKFCmCS5cuoU6dOkhISMCaNWuwefNm1K9fHwCwbt06uLq64uzZs6hRowYOHTqEW7du4ciRI7CxsUHFihUxdepUjB49GgEBAdDT08PKlSvh7OyM+fPnAwBcXV1x6tQpBAYGMiFSM75pERFRXpTrhKhNmzYICQlB9erVMXjwYHTt2hVr1qxBVFQUhg8f/p8ak9nbZGVlBQC4dOkSPn78CG9vb+mcsmXLonjx4ggLC0ONGjUQFhYGd3d3pUtoPj4+6N+/P27evIlKlSohLCxM6T4yzxk2bFi27UhJSUFKSop0OzEx8T89LiKinOICq0SakeuEaNasWdLPHTp0kJITFxcXtGjR4l83JD09HcOGDUPNmjVRvnx5ABmX5/T09GBhYaF0ro2NDWJjY6VzPk2GMo9nHvvaOYmJiXj37h0MDQ2Vjs2cOROTJ0/+14+FiIiIvi3/aS0zAPD09ISnp+d/bsjAgQNx48YNnDp16j/f1381duxY+Pv7S7cTExPh4OCgwRYRUW5xkC0R5UaOE6J79+4hPj4e1apVk/aFhIRg2rRpSE5ORuvWrfHzzz//q0YMGjQIe/fuxYkTJ1CsWDFpv62tLT58+ID4+HilXqK4uDjY2tpK55w/f17p/uLi4qRjmf9m7vv0HDMzsyy9QwCgr6+f6/FQRJS3cLwaEeVGjusQjR49Gnv37pVuR0ZGokWLFtDT04OnpydmzpyJhQsX5iq4EAKDBg3Czp07cfToUTg7Oysdr1KlCgoWLIiQkBBp3927dxEVFSX1Snl6euL69et4/vy5dM7hw4dhZmYGNzc36ZxP7yPzHFX0bBEREdG3L8c9RBcvXsRPP/0k3d60aRNKly6NgwcPAgA8PDywZMmSLw5Uzs7AgQOxefNm7N69G6amptKYH3NzcxgaGsLc3Bx+fn7w9/eHlZUVzMzMMHjwYHh6eqJGjRoAgEaNGsHNzQ3dunXDnDlzEBsbi/Hjx2PgwIFSL0+/fv2wdOlS/PTTT+jVqxeOHj2Kbdu2Yd++fTlu6z9hTRzKq3jpiIjon+U4Ifr777+VLmcdO3ZMaRC1l5cXRowYkavgK1askH73U+vWrZOKJgYGBkJHRwft2rVTKsyYSVdXF3v37kX//v3h6ekJY2Nj+Pr6YsqUKdI5zs7O2LdvH4YPH45FixahWLFiWL16tUqn3LMmDuVVmrx0pMpkjF86iEhOOU6IrKysEBMTAwcHB6Snp+PixYtKA48/fPgAIUSugufkfAMDAyxbtgzLli374jmOjo7Yv3//V+/Hy8sLV65cyVX7iPKioUOH4sWLFwAAa2trLFq0SMMt+jJVJmP80kFEcspxQuTl5YWpU6di+fLl+OOPP5Cenq7Us3Pr1i04OTnJ0EQi+tSLFy+yTBIgzYqa4q50OzW+EADd///zsyzHi0+8rq6mEX0Ra14py3FCNH36dDRs2BCOjo7Q1dXF4sWLpeU1AGDjxo1SNWkiIiKib0mOEyInJyfcvn0bN2/ehLW1Nezt7ZWOT548WWmMERERfds4bovkkpcWCs+Uq8KMBQoUQIUKFbI99qX9RET0bdLWcVu5TQQ5kzN/+M+VqomIiPKT3CaCLAKaPzAhIiLKw3jZikg9mBDlA3zDJMq/tPWyFZG65TohioqKgoODAxQKhdJ+IQSio6NRvHhxlTWOcuaf3jA5JZiIiOjrcryWWSZnZ2epKNynXr16lWUtMiIiIqJvQa4TIiFElt4hAEhKSoKBgYFKGkVERESkTjm+ZJa5TIdCocCECRNgZGQkHUtLS8O5c+dQsWJFlTeQiIiISG45Togy1wETQuD69evQ09OTjunp6aFChQoYOXKk6ltIREREJLMcJ0THjh0DAPTs2ROLFi2CmZmZbI0iIiIiUqdcjyFat24dzMzM8ODBAxw8eBDv3r0DkLOV64mIiIjyolwnRK9evUKDBg1QunRpNG3aFDExMQAAPz8/jBgxQuUNJCIiIpJbrhOiYcOGoWDBgoiKilIaWN2hQwcEBwertHGU96UXNEa63v/fWBSSiIi+UbkuzHjo0CEcPHgwy8r2Li4uePz4scoaRt8GVtGVX15cFZqIKL/JdUKUnJys1DOU6dWrV9DX11dJo4iI8hIuj0OU/+U6IapduzY2bNiAqVOnAsioS5Seno45c+agXr16Km8gEZGmsSeUKP/LdUI0Z84cNGjQABcvXsSHDx/w008/4ebNm3j16hVOnz4tRxuJiIiIZJXrQdXly5fHvXv3UKtWLbRq1QrJyclo27Ytrly5gpIlS8rRRiIiIiJZ5bqHCADMzc0xbtw4VbeFiIiIcsFKPy3bnyn3cpQQXbt2Lcd36OHh8a8bQ0RERDn3c6V4TTch38hRQlSxYkUoFIp/rEatUCiQlsYMlYiI6Fuj7bMpc5QQRUZGyt0OIiIi0iBtn02Zo4TI0dFR7nYQERERaUyuB1Vv2LDhq8e7d+/+rxtDREREpAm5ToiGDh2qdPvjx494+/Yt9PT0YGRkxISIiIiIvjm5rkP0+vVrpS0pKQl3795FrVq18Pvvv8vRRiIiIiJZ5Tohyo6LiwtmzZqVpfeIiIiI6FugkoQIAAoUKIBnz56p6u6IiIiI1CbXY4j27NmjdFsIgZiYGCxduhQ1a9ZUWcOIKHvaXiuEiEgOuU6IWrdurXRboVDA2toa9evXx/z581XVLiL6Am2vFUJEJIdcJ0Tp6elytIOIiIhIY/71GKK///4bf//9tyrbQkRERKQRuUqI4uPjMXDgQBQuXBg2NjawsbFB4cKFMWjQIMTHx8vURCIiIiJ55fiS2atXr+Dp6YmnT5+iS5cucHV1BQDcunULQUFBCAkJwZkzZ2BpaSlbY4mIiIjkkOOEaMqUKdDT00NERARsbGyyHGvUqBGmTJmCwMBAlTeSiOhbYqWflu3PRJR35fiS2a5duzBv3rwsyRAA2NraYs6cOdi5c2eugp84cQItWrSAvb09FAoFdu3apXS8R48eUCgUSlvjxo2Vznn16hW6dOkCMzMzWFhYwM/PD0lJSUrnXLt2DbVr14aBgQEcHBwwZ86cXLWTiCg3fq4Uj3k1XmJejZf4uVK8pptDRDmQ44QoJiYG5cqV++Lx8uXLIzY2NlfBk5OTUaFCBSxbtuyL5zRu3BgxMTHS9vnyIF26dMHNmzdx+PBh7N27FydOnMCPP/4oHU9MTESjRo3g6OiIS5cuYe7cuQgICMCvv/6aq7YSERFR/pXjS2aFCxfGo0ePUKxYsWyPR0ZGwsrKKlfBmzRpgiZNvl5TRV9fH7a2ttkeu337NoKDg3HhwgVUrVoVALBkyRI0bdoU8+bNg729PTZt2oQPHz5g7dq10NPTQ7ly5RAeHo4FCxYoJU5ERESkvXLcQ+Tj44Nx48bhw4cPWY6lpKRgwoQJWS5nqcLx48dRpEgRlClTBv3798fLly+lY2FhYbCwsJCSIQDw9vaGjo4Ozp07J51Tp04d6OnpKT2Wu3fv4vXr19nGTElJQWJiotJGRERE+VeuBlVXrVoVLi4uGDhwIMqWLQshBG7fvo3ly5cjJSUFGzduVGnjGjdujLZt28LZ2RkRERH4+eef0aRJE4SFhUFXVxexsbEoUqSI8gMqUABWVlbS5bvY2Fg4OzsrnZM5Dio2NjbbWXEzZ87E5MmTVfpYiIiIKO/KcUJUrFgxhIWFYcCAARg7diyEEAAylu5o2LAhli5dCgcHB5U2rmPHjtLP7u7u8PDwQMmSJXH8+HE0aNBApbE+NXbsWPj7+0u3ExMTVf7YiIiIKO/I1dIdzs7OOHDgAF6/fo379+8DAEqVKpXrsUP/VokSJVC4cGE8ePAADRo0gK2tLZ4/f650TmpqKl69eiWNO7K1tUVcXJzSOZm3vzQ2SV9fH/r6+jI8AiIiIsqL/tXSHZaWlqhWrRqqVaumtmQIAJ48eYKXL1/Czs4OAODp6Yn4+HhcunRJOufo0aNIT09H9erVpXNOnDiBjx8/SuccPnwYZcqUYRFJIiIiAvAf1jJThaSkJISHhyM8PBxAxky18PBwREVFISkpCaNGjcLZs2fx6NEjhISEoFWrVihVqhR8fHwAAK6urmjcuDH69OmD8+fP4/Tp0xg0aBA6duwIe3t7AEDnzp2hp6cHPz8/3Lx5E1u3bsWiRYuULokRERGRdsv1aveqdPHiRdSrV0+6nZmk+Pr6YsWKFbh27RrWr1+P+Ph42Nvbo1GjRpg6darS5axNmzZh0KBBaNCgAXR0dNCuXTssXrxYOm5ubo5Dhw5h4MCBqFKlCgoXLoyJEydq9ZR7VtElIiJSptGEyMvLSxqcnZ2DBw/+431YWVlh8+bNXz3Hw8MDJ0+ezHX78itWziUiIlKm0UtmRERERHkBEyIiIiLSekyIiIiISOsxISIiIiKtx4SIiIiItB4TIiIiItJ6Gp12T0RERJRe0Djbn9WJCRERERFpVFKZJppuAi+ZERERETEhIiIiIq3HhIiIiIi0HhMiIiIi0npMiIiIiEjrMSEiIiIirceEiIiIiLQeEyIiIiLSekyIiIiISOsxISIiIiKtx4SIiIiItB4TIiIiItJ6TIiIiIhI6zEhIiIiIq3HhIiIiIi0HhMiIiIi0npMiIiIiEjrMSEiIiIirceEiIiIiLQeEyIiIiLSekyIiIiISOsxISIiIiKtx4SIiIiItB4TIiIiItJ6TIiIiIhI6zEhIiIiIq3HhIiIiIi0HhMiIiIi0npMiIiIiEjrMSEiIiIirafRhOjEiRNo0aIF7O3toVAosGvXLqXjQghMnDgRdnZ2MDQ0hLe3N+7fv690zqtXr9ClSxeYmZnBwsICfn5+SEpKUjrn2rVrqF27NgwMDODg4IA5c+bI/dCIiIjoG6LRhCg5ORkVKlTAsmXLsj0+Z84cLF68GCtXrsS5c+dgbGwMHx8fvH//XjqnS5cuuHnzJg4fPoy9e/fixIkT+PHHH6XjiYmJaNSoERwdHXHp0iXMnTsXAQEB+PXXX2V/fERERPRtKKDJ4E2aNEGTJk2yPSaEwMKFCzF+/Hi0atUKALBhwwbY2Nhg165d6NixI27fvo3g4GBcuHABVatWBQAsWbIETZs2xbx582Bvb49Nmzbhw4cPWLt2LfT09FCuXDmEh4djwYIFSokTERERaa88O4YoMjISsbGx8Pb2lvaZm5ujevXqCAsLAwCEhYXBwsJCSoYAwNvbGzo6Ojh37px0Tp06daCnpyed4+Pjg7t37+L169fZxk5JSUFiYqLSRkRERPlXnk2IYmNjAQA2NjZK+21sbKRjsbGxKFKkiNLxAgUKwMrKSumc7O7j0xifmzlzJszNzaXNwcHhvz8gIiIiyrPybEKkSWPHjkVCQoK0RUdHa7pJREREJKM8mxDZ2toCAOLi4pT2x8XFScdsbW3x/PlzpeOpqal49eqV0jnZ3cenMT6nr68PMzMzpY2IiIjyrzybEDk7O8PW1hYhISHSvsTERJw7dw6enp4AAE9PT8THx+PSpUvSOUePHkV6ejqqV68unXPixAl8/PhROufw4cMoU6YMLC0t1fRoiIiIKC/TaEKUlJSE8PBwhIeHA8gYSB0eHo6oqCgoFAoMGzYM06ZNw549e3D9+nV0794d9vb2aN26NQDA1dUVjRs3Rp8+fXD+/HmcPn0agwYNQseOHWFvbw8A6Ny5M/T09ODn54ebN29i69atWLRoEfz9/TX0qImIiCiv0ei0+4sXL6JevXrS7cwkxdfXF0FBQfjpp5+QnJyMH3/8EfHx8ahVqxaCg4NhYGAg/c6mTZswaNAgNGjQADo6OmjXrh0WL14sHTc3N8ehQ4cwcOBAVKlSBYULF8bEiRM55Z6IiIgkGk2IvLy8IIT44nGFQoEpU6ZgypQpXzzHysoKmzdv/mocDw8PnDx58l+3k4iIiPK3PDuGiIiIiEhdmBARERGR1mNCRERERFqPCRERERFpPSZEREREpPWYEBEREZHWY0JEREREWo8JEREREWk9JkRERESk9ZgQERERkdZjQkRERERajwkRERERaT0mRERERKT1mBARERGR1mNCRERERFqPCRERERFpPSZEREREpPWYEBEREZHWY0JEREREWo8JEREREWk9JkRERESk9ZgQERERkdZjQkRERERajwkRERERaT0mRERERKT1mBARERGR1mNCRERERFqPCRERERFpPSZEREREpPWYEBEREZHWY0JEREREWo8JEREREWk9JkRERESk9ZgQERERkdZjQkRERERajwkRERERaT0mRERERKT1mBARERGR1svTCVFAQAAUCoXSVrZsWen4+/fvMXDgQBQqVAgmJiZo164d4uLilO4jKioKzZo1g5GREYoUKYJRo0YhNTVV3Q+FiIiI8rACmm7APylXrhyOHDki3S5Q4P+aPHz4cOzbtw9//PEHzM3NMWjQILRt2xanT58GAKSlpaFZs2awtbXFmTNnEBMTg+7du6NgwYKYMWOG2h8LERER5U15PiEqUKAAbG1ts+xPSEjAmjVrsHnzZtSvXx8AsG7dOri6uuLs2bOoUaMGDh06hFu3buHIkSOwsbFBxYoVMXXqVIwePRoBAQHQ09NT98MhIiKiPChPXzIDgPv378Pe3h4lSpRAly5dEBUVBQC4dOkSPn78CG9vb+ncsmXLonjx4ggLCwMAhIWFwd3dHTY2NtI5Pj4+SExMxM2bN78YMyUlBYmJiUobERER5V95OiGqXr06goKCEBwcjBUrViAyMhK1a9fGmzdvEBsbCz09PVhYWCj9jo2NDWJjYwEAsbGxSslQ5vHMY18yc+ZMmJubS5uDg4NqHxgRERHlKXn6klmTJk2knz08PFC9enU4Ojpi27ZtMDQ0lC3u2LFj4e/vL91OTExkUkRERJSP5ekeos9ZWFigdOnSePDgAWxtbfHhwwfEx8crnRMXFyeNObK1tc0y6yzzdnbjkjLp6+vDzMxMaSMiIqL865tKiJKSkhAREQE7OztUqVIFBQsWREhIiHT87t27iIqKgqenJwDA09MT169fx/Pnz6VzDh8+DDMzM7i5uam9/URERJQ35elLZiNHjkSLFi3g6OiIZ8+eYdKkSdDV1UWnTp1gbm4OPz8/+Pv7w8rKCmZmZhg8eDA8PT1Ro0YNAECjRo3g5uaGbt26Yc6cOYiNjcX48eMxcOBA6Ovra/jRERERUV6RpxOiJ0+eoFOnTnj58iWsra1Rq1YtnD17FtbW1gCAwMBA6OjooF27dkhJSYGPjw+WL18u/b6uri727t2L/v37w9PTE8bGxvD19cWUKVM09ZCIiIgoD8rTCdGWLVu+etzAwADLli3DsmXLvniOo6Mj9u/fr+qmERERUT7yTY0hIiIiIpIDEyIiIiLSekyIiIiISOsxISIiIiKtx4SIiIiItB4TIiIiItJ6TIiIiIhI6zEhIiIiIq3HhIiIiIi0HhMiIiIi0npMiIiIiEjrMSEiIiIirceEiIiIiLQeEyIiIiLSekyIiIiISOsxISIiIiKtx4SIiIiItB4TIiIiItJ6TIiIiIhI6zEhIiIiIq3HhIiIiIi0HhMiIiIi0npMiIiIiEjrMSEiIiIirceEiIiIiLQeEyIiIiLSekyIiIiISOsxISIiIiKtx4SIiIiItB4TIiIiItJ6TIiIiIhI6zEhIiIiIq3HhIiIiIi0HhMiIiIi0npMiIiIiEjrMSEiIiIirceEiIiIiLQeEyIiIiLSelqVEC1btgxOTk4wMDBA9erVcf78eU03iYiIiPIArUmItm7dCn9/f0yaNAmXL19GhQoV4OPjg+fPn2u6aURERKRhWpMQLViwAH369EHPnj3h5uaGlStXwsjICGvXrtV004iIiEjDCmi6Aerw4cMHXLp0CWPHjpX26ejowNvbG2FhYVnOT0lJQUpKinQ7ISEBAJCYmCjtS0t5l6s2vCmYlqvzP431OcbO+7G/dl+59S09bsZWf2xNvtb4Oteu2N/i/3fmv0KIf/4loQWePn0qAIgzZ84o7R81apSoVq1alvMnTZokAHDjxo0bN27c8sEWHR39j7mCVvQQ5dbYsWPh7+8v3U5PT8erV69QqFAhKBSKXN9fYmIiHBwcEB0dDTMzM1U2lbEZm7EZm7EZm7G/QAiBN2/ewN7e/h/P1YqEqHDhwtDV1UVcXJzS/ri4ONja2mY5X19fH/r6+kr7LCws/nM7zMzM1P5CYmzGZmzGZmzG1ubY5ubmOTpPKwZV6+npoUqVKggJCZH2paenIyQkBJ6enhpsGREREeUFWtFDBAD+/v7w9fVF1apVUa1aNSxcuBDJycno2bOnpptGREREGqY1CVGHDh3w4sULTJw4EbGxsahYsSKCg4NhY2Mje2x9fX1MmjQpy2U4dWBsxmZsxmZsxmbsf6YQIidz0YiIiIjyL60YQ0RERET0NUyIiIiISOsxISIiIiKtx4SIiIiItB4TIsq34uPjNd0EtUtMTMSuXbtw+/ZtjcTXxudcU96/f6/WeO/evcPbt2+l248fP8bChQtx6NAhtbZDm6WlpSE8PByvX7/WdFPyJSZE+Ux0dDSePHki3T5//jyGDRuGX3/9VYOtkt/s2bOxdetW6Xb79u1RqFAhFC1aFFevXtVgy+TVvn17LF26FEDGB1bVqlXRvn17eHh44M8//5Q1tiaf8+DgYJw6dUq6vWzZMlSsWBGdO3fO1x8W6enpmDp1KooWLQoTExM8fPgQADBhwgSsWbNG1titWrXChg0bAGQkvtWrV8f8+fPRqlUrrFixQtbY2mrYsGHS/2taWhrq1q2LypUrw8HBAcePH9ds4/Ij1SyfSnlFrVq1xIYNG4QQQsTExAgzMzPh6ekpChcuLCZPnix7/NDQUPHx48cs+z9+/ChCQ0Nli+vk5CROnz4thBDi0KFDwsLCQhw8eFD4+fmJhg0byhZX02xsbER4eLgQQohNmzaJUqVKieTkZLF8+XJRsWJFWWNr8jkvX7682LdvnxBCiGvXrgl9fX0xduxYUaNGDdGjRw9ZYwuhudf55MmTRYkSJcRvv/0mDA0NRUREhBBCiC1btogaNWrIFlcIIQoVKiRu3LghhBBi1apVwsPDQ6SlpYlt27aJsmXLyhpbWxUtWlRcuHBBCCHEzp07hb29vbh7964YP368+P7772WPf+DAAXHy5Enp9tKlS0WFChVEp06dxKtXr1Qeb9GiRTne5MCESCbdu3eX9Y3xSywsLMSdO3eEEBkvrsw/moMHDwpnZ2fZ4+vo6Ii4uLgs+//++2+ho6MjW1wDAwMRFRUlhBBiyJAh4scffxRCCHH37l1hYWEhW1xN+/Rxd+vWTYwePVoIIcTjx4+FsbGx2mKr+zk3NjYWkZGRQgghJk2aJNq1ayeEEOLSpUvCxsZG1thCaO51XrJkSXHkyBEhhBAmJiZSQnT79m3Zn3NDQ0Px+PFjIYQQP/zwgwgICBBCCBEVFSUMDQ1liWlhYSEsLS1ztMkpKipKabX0c+fOiaFDh4pffvlF1rj6+vpS3D59+oihQ4cKIYR4+PChMDU1lTW2EOr/4uHk5KS0GRsbC4VCIf0fKxQKYWxsLNtnGS+ZySQhIQHe3t5wcXHBjBkz8PTpU7XE/fjxo1TN88iRI2jZsiUAoGzZsoiJiZE9vhACCoUiy/6XL1/C2NhYtriWlpaIjo4GkHE5xdvbW2pPWlqabDGtrKxytMnFwcEBYWFhSE5ORnBwMBo1agQAeP36NQwMDGSLC2jmOc+kp6cnjWc5cuSI9LitrKyQmJgoa2xAc6/zp0+folSpUln2p6en4+PHj7LFBYBSpUph165diI6OxsGDB6Xn/Pnz57It9rlw4UIEBgYiMDAQ48ePBwD4+PggICAAAQEB8PHxAZBxyVBOnTt3xrFjxwAAsbGxaNiwIc6fP49x48ZhypQpssW1sbHBrVu3kJaWhuDgYDRs2BAA8PbtW+jq6soWN1NkZCTc3NwAAH/++SeaN2+OGTNmYNmyZThw4IAs8TK36dOno2LFirh9+zZevXqFV69e4fbt26hcuTKmTp2q8tiAFi3doW67du3CixcvsHHjRqxfvx6TJk2Ct7c3/Pz80KpVKxQsWFCWuOXKlcPKlSvRrFkzHD58WHrhPHv2DIUKFZIlJgC0bdsWAKBQKNCjRw+lEutpaWm4du0avv/+e1njd+7cGS4uLnj58iWaNGkCALhy5Uq2HyCqsHDhQunnly9fYtq0afDx8ZEWDA4LC8PBgwdlfbMeNmwYunTpAhMTEzg6OsLLywsAcOLECbi7u8sWF9DMc56pVq1a8Pf3R82aNXH+/HlpLNO9e/dQrFgx2eJq+nXu5uaGkydPwtHRUWn/9u3bUalSJdniAsDEiRPRuXNnDB8+HA0aNJBe54cOHZIttq+vr/Rzu3btMGXKFAwaNEjaN2TIECxduhRHjhzB8OHDZWkDANy4cQPVqlUDAGzbtg3ly5fH6dOncejQIfTr1w8TJ06UJW7Pnj3Rvn172NnZQaFQSF86zp07h7Jly8oS81Off/Ho3r07APV88ZgwYQK2b9+OMmXKSPvKlCmDwMBA/O9//0OXLl1UHpMJkYysra3h7+8Pf39/XL58GevWrUO3bt1gYmKCrl27YsCAAXBxcVFpzNmzZ6NNmzaYO3cufH19UaFCBQDAnj17pD9oOZibmwPI+OZsamoKQ0ND6Zienh5q1KiBPn36yBY/MDAQTk5OiI6Oxpw5c2BiYgIAiImJwYABA2SJmRferAcMGIBq1aohOjoaDRs2hI5ORqdviRIlMG3aNFliZtLEc55p6dKlGDBgALZv344VK1agaNGiAIADBw6gcePGssXV9Ot84sSJ8PX1xdOnT5Geno4dO3bg7t272LBhA/bu3StbXAD43//+h1q1aiEmJkZ6XwGABg0aoE2bNrLGBoCDBw9i9uzZWfY3btwYY8aMkTW2pnreAwICUL58eURHR+OHH36Q2qCrqyv7YwaAmjVrauSLB5DxPpKampplf1paGuLi4uQJKsuFOFLy7NkzMWvWLFGmTBlhbGwsunfvLho0aCAKFCggFixYoPJ4qampWQa8RUZGZjvmQdUCAgJEUlKS7HHyGmNjY3H//v0s++/fvy/7WB5SP02+zk+cOCG8vb2FtbW1MDQ0FDVr1hQHDx6UPe7Ro0e/eGzp0qWyxy9evLiYN29elv3z5s0TxYsXlzV2tWrVxOjRo8WJEyeEgYGBNJEhLCxMFC1aVNbYmvT48WPRvHlz4eHhIVavXi3tHzZsmBg8eLCssZs3by4qVaokLl26JO27ePGiqFy5smjRooUsMbm4q0w+fvyIPXv2YN26dTh06BA8PDzQu3dvdO7cWbrevnPnTvTq1Uul04R///13dOrUKdtjo0aNwty5c1UWK6/ZuHEjfvnlFzx8+BBhYWFwdHTEwoUL4ezsjFatWska29HREUOGDMGIESOU9s+fPx+LFy/G48ePVRbL398/x+cuWLBAZXGBjJ7GnMr8Fq0quemil2tMS6Z3795BCAEjIyMAGTV5du7cCTc3N2lsTX5jaWmJI0eOoEqVKkr7Fy1ahAkTJsh+CSUoKAi9e/dGkyZNUL16dQAZl46Cg4OxatUq9OjRQ7bYx48fR5s2bZCYmAhfX1+sXbsWAPDzzz/jzp072LFjh8piLV68OMfnDhkyRGVxP5eamorNmzejUaNGsLW1lS3Ol7x48QK+vr4IDg6WhpikpqbCx8cHQUFBKFKkiOqDypJmkShUqJCwtLQUAwYMEFeuXMn2nNevXwsnJyeVxjU3Nxf79+/Psn/YsGHC1tZWpbG+5I8//hA//PCDqF69uqhUqZLSJpfly5eLwoULi2nTpilNR163bp3w8vKSLW6mdevWCV1dXdG8eXMxdepUMXXqVNG8eXNRoEABsW7dOpXG8vLyUtrMzMyEkZGR9BwbGxsLMzMzUa9ePZXGFUIIhUKhtOno6GS5nbnJEfvT+//aJreGDRuKFStWCCEy/o6LFCkiihUrJgwMDMTy5ctlj5+SkiKio6PF48ePlTY5rVq1SlhbW4vbt29L++bNmyfMzMzEiRMnZI2d6ezZs6Jz587Sa71z587i7Nmzaomtrp53Tc+0+pShoaF49OiR7HG+5u7du2LXrl1i9+7d4u7du7LGYkIkkw0bNoh3796pPe7evXuFubm5Uu2IQYMGCXt7e6U3MrksWrRImJiYiEGDBgk9PT3Rt29f4e3tLczNzcXPP/8sW1xXV1exc+dOIYTydOTr16+LQoUKyRb3U5p4s54/f75o0aKF0hv1q1evRKtWrbK9vKBKhw8fFpUrVxbBwcEiISFBJCQkiODgYFG1alVx6NAhlcc7fvy4tAUFBQlbW1sxZswYsXv3brF7924xZswYYWdnJ4KCglQe+3Oaqslz7949UatWrSwJYGayKLfZs2eLokWLisjISDFr1ixhZmYmTp06JXtcbbVp0yZRs2ZNqZSKEELcuXNH1K5dW/z222+yx69bt670vqpJ6enpIj09XfY4TIhk8OHDB6GrqyuuX7+ukfibNm0SlpaW4uLFi6J///5SMS91KFOmjNi8ebMQQjkxmTBhghg4cKBscQ0MDKRvMp/GvXfvnjAwMJAtrqbZ29tLH8yfun79urCzs5M1drly5ZQS70wnTpyQvVBf/fr1pdfZpzZt2iTq1q0ra2whNFOTRwghvv/+e1GnTh2xf/9+ceXKFREeHq60qcNPP/0kChUqJCwsLERYWJhaYmZ68OCBGDdunOjUqZPUM7N///5s/wb+q4oVK2bp4f7SJpcSJUqIy5cvZ9l/8eJFlV9dyM7WrVtFiRIlxJIlS8SZM2fE1atXlTa5rV+/XpQvX17o6+sLfX194e7uLhUelgNnmcmgYMGCKF68uOy1WL6kc+fOiI+PR82aNWFtbY3Q0FDZp0FnioqKkqYdGxoa4s2bNwCAbt26oUaNGtIyE6rm7OyM8PDwLNORg4OD4erqKkvMvDCmJTExES9evMiy/8WLF9JzL5eIiAhYWFhk2W9ubo5Hjx7JGjssLAwrV67Msr9q1aro3bu3rLGB/6vJ06ZNGxw8eFCaRShnTR4ACA8Px6VLl9Qy5RrIfjxL0aJFYWRkhDp16uD8+fM4f/48AHnHswBAaGgomjRpgpo1a+LEiROYNm0aihQpgqtXr2LNmjXYvn27SuO1bt1a+vn9+/dYvnw53NzcpHIDZ8+exc2bN2WdUamRmVaf6NixIwDl/1uFQiHV4ZLzM27BggWYMGECBg0ahJo1awIATp06hX79+uHvv/+WZ+aubKmWllu9erVo2rSpePnypeyxhg8fnu1WrFgx0bJlS6V9cnN2dpa+0VSpUkWsXLlSCJFRKVvOarKrVq0SRYsWFVu2bBHGxsbi999/F9OmTZN+lkNOxrTIfSmjW7duwsnJSfz5558iOjpaREdHi+3btwtnZ2fRvXt32eIKIUTt2rVFw4YNRWxsrLQvNjZWNGrUSNSpU0fW2KVLlxajRo3Ksn/UqFGidOnSssYWImOcXMGCBYWOjo7SMiUzZswQjRs3li1u1apVs+2Vk8vn41m+tKljPEuNGjXE/PnzhRDKvcDnzp2TfaaXn5+fGD9+fJb9EydOFD179pQtriZmWn3q0aNHX93k5OTkJNavX59lf1BQkGy9Y5xlJpNKlSrhwYMH+PjxIxwdHbNUr718+bLKYtWrVy9H5ykUChw9elRlcbPTu3dvODg4YNKkSVi2bBlGjRqFmjVr4uLFi2jbtq2sC1Bu2rQJAQEBiIiIAADY29tj8uTJ8PPzkyVeaGhojs+tW7euLG14+/YtRo4cibVr10qVigsUKAA/Pz/MnTtX1qrJDx48QJs2bXDv3j04ODgAyFhc2MXFBbt27ZK1V3L//v1o164dSpUqJc04On/+PO7fv48///wTTZs2lS12ptjYWKkmT2b9p/Pnz8PMzEy2HpyjR49i/PjxmDFjBtzd3bMUeJV7dp0mmZiY4Pr163B2doapqSmuXr2KEiVK4NGjRyhbtizev38vW2xzc3NcvHgxS924+/fvo2rVqkhISJAlrkZmWuURBgYGuHHjRpb3kfv378Pd3V2W/28mRDKZPHnyV49PmjRJTS1Rr/T0dKSnp6NAgYyrsVu2bMGZM2fg4uKCvn37Qk9PT/Y2vH37FklJSfn6zeJzycnJUiJYsmRJWROhTwkhcPjwYdy5cwcA4OrqCm9v72yXtVC1J0+eYPny5Uqx+/XrJyVn+VFm4vX58yvUcAlD04oVK4Zt27bh+++/V0qIdu7ciZEjR0qvfznY2tpi1qxZWab2BwUFYfTo0bJfvrp37x5u374NhUKBsmXLonTp0rLG+9TGjRuxcuVKREZGqrWcSfny5dG5c2f8/PPPSvunTZuGrVu34vr16yqPyYSISEXi4+OxZs0a3L59G0DGMiq9evWSqhvL7cmTJwAgewVZynDx4kVs27YNUVFR+PDhg9IxVdal+dQ/9UrK1RMJZIxbCQoKQkhICJ4/f4709HSl43L3Po8cORLnzp3DH3/8gdKlS+Py5cuIi4tD9+7d0b17d1m/ZM6aNQuTJ09Gnz59pIr/586dw9q1azFhwgS1VI3O/KhWx5eNTCtWrMDEiRMxbNgwTJ8+HTdu3ECJEiUQFBSE9evXS+u7yeHPP/9Ehw4d4O3tLY0hOn36NEJCQrBt2zZZqqMzIcpnkpOTMWvWrC++aT18+FD2Npw8eRK//PILIiIisH37dhQtWhQbN26Es7MzatWqpbI4lSpVyvGbgyovUWbn4sWL8PHxgaGhofSGeeHCBbx79w6HDh1C5cqVZYmbnp6OadOmYf78+UhKSgIAmJqaYsSIERg3bpzUoyCX0NBQzJs3T0oC3dzcMGrUKNSuXVvWuIBmE9AtW7age/fu8PHxwaFDh9CoUSPcu3cPcXFxaNOmDdatWyd7G9Rt0KBBCAoKQrNmzaS1tT4VGBgoa/wPHz5g4MCBCAoKQlpaGgoUKIC0tDR07twZQUFBsi92um3bNixatEh6vbm6umLo0KFo3769rHE3bNiAuXPn4v79+wCA0qVLY9SoUejWrZuscYGMv+cZM2agdevWSr1yN27cgJeXF/7++29Z41+6dAmBgYFKz/mIESNkWzuPCZEKWVlZ4d69eyhcuDAsLS2/+mH96tUrWdrQqVMnhIaGolu3btm+aQ0dOlSWuJn+/PNPdOvWDV26dMHGjRtx69YtlChRAkuXLsX+/fuxf/9+lcX6p8uSn5L7EmXt2rVRqlQprFq1SrpcmJqait69e+Phw4c4ceKELHHHjh2LNWvWYPLkyUozMQICAtCnTx9Mnz5dlrgA8Ntvv6Fnz55o27atUuxdu3YhKCgInTt3li22phLQTB4eHujbty8GDhwofVA4Ozujb9++sLOzy9VrM7cyv3A8fPgQf/zxh2xfOD5XuHBhbNiwQS3js74mKioKN27cQFJSEipVqqTy9SDzki/NtFq2bBmmTZsm64K2QMZM4Tt37sDR0VEpIbp//z48PDzw7t07WeOrnSxDtbVUUFCQeP/+vfTz1za5mJuba7RQWsWKFaWZAZ/OBLl8+bKwsbHRWLvkZmBgkG3hy5s3b8pal8bOzk7s3r07y/5du3YJe3t72eIKIUTZsmWzXYtv/vz5stchqlWrlujRo4f4+PGjtO/jx4/C19dX1K5dW9bYQghhZGQkIiMjhRBCWFlZiWvXrgkhhLh165asFeG3b98uDA0NRe/evYW+vr7097VkyRLRpEkT2eIKkfFaU1c9M8qgiZlWn3J1dRW7du0SQii/ny9evFjW+kuZUlNTxfbt26Xq/zt27BCpqamyxWNClM84OTmJW7duaSy+oaGh9EHx6R9QRESE0NfXlz3+hQsXxIYNG8SGDRvExYsXZY+XqUiRItkusBkcHCyKFCkiW1x9ff1sP6Tu3Lkje0FKPT29Ly5oK/f/taYS0ExFixaVkiB3d3epSOSZM2eEmZmZbHE1+YVj3rx5YsCAAWqpGJyd1NRUsXr1atGpUyfRoEEDUa9ePaVN7thz584V3333nbCxsZGW0cjc5KKvr5/t39i9e/fU8n6qiXImme7fvy9Kly6ttCyRkZGRKFOmjHjw4IEsMVmYUQ3ev3+fZdClXNNjp06diokTJ2L9+vXSwpPqZGtriwcPHsDJyUlp/6lTp1CiRAnZ4j558gSdOnXC6dOnpWKB8fHx+P7777FlyxbZBxp36NABfn5+mDdvnlSY8vTp0xg1atQXF9tVhQoVKmDp0qVZCugtXboUFSpUkC0uADg4OCAkJCTLtNgjR47IPtPLzMwMUVFRWaa3R0dHw9TUVNbYAFCnTh0cPnwY7u7u+OGHHzB06FAcPXoUhw8fRoMGDWSLe/fuXdSpUyfLfnNzc8THx8sWF8j4Gz527BgOHDiAcuXKZZnyL9dA8kxDhw6VxjCVL19erYOLJ0+ejNWrV2PEiBEYP348xo0bh0ePHmHXrl2YOHGibHFLlSqFbdu2ZZlptXXrVrVcKuzduzcMDQ0xfvx4vH37Fp07d4a9vT0WLVokFW2Uy5AhQ1CiRAmEhYXBysoKAPDy5Ut07doVQ4YMwb59+1QfVJY0i0RSUpIYOHCgsLa2VuvikxUrVhSmpqbCxMRElC9fXm0l5jPNmDFDuLm5ibNnzwpTU1Nx8uRJ8dtvvwlra2uxePFi2eL6+PiI6tWrZ1nzx9PTU/j4+MgWN1NKSooYMmSI0NPTk/6P9fX1xbBhw6TLqHI4fvy4MDY2Fq6urqJXr16iV69ewtXVVZiYmMi+4Oby5cuFnp6e6Nevn9Qr17dvX6Gvry8V5JTL4MGDRbFixcSWLVtEVFSUiIqKEr///rsoVqyYGDp0qKyxhRDi5cuX4unTp0IIIdLS0sTMmTNFixYthL+/f5YFQFXJ2dlZHD58WAih3EO0fv164erqKltcIYTo0aPHVze5FSpUSOzbt0/2ONkpUaKE2Lt3rxAi43nP7KFYtGiR6NSpk2xxt2/fLnR1dYWPj4+YMmWKmDJlivDx8REFChQQO3bskC1udpKTk1W+kO3XGBkZSb2wnwoPDxfGxsayxGRCJJMBAwYIV1dX6Zr/2rVrxdSpU0WxYsVkXZQvICDgq5vc0tPTpS7VzBXQDQwMsq3yqkoGBgZfXPNHHZdQMiUnJ4tr166Ja9euieTkZLXEfPr0qfj5559F27ZtRdu2bcW4ceOkD2u57dixQ9SsWVNYWVkJKysrUbNmTWnMgZw0kYAOHz5cJCUlCSGECA0NVRq/pC6a+sKRF2hyDJORkZG0dp2tra1UOToiIkLWS6RCZLyHdenSRVSuXFlUrlxZdOnSJdv3uvzG0tJSnD59Osv+U6dOyXaZkgmRTBwcHMSxY8eEEEKYmppK14E3bNgg++DHvCAlJUXcvHlTnDt3Trx580b2eC4uLuLcuXNZ9p87d06ULFlS9vikGepMQAsUKCAtU6Kjo6PWb8uZNPWFIy/Q5Bim0qVLi7NnzwohhKhZs6aYOXOmEEKILVu2CGtra7W3R11iY2NF165dhZ2dndDV1VXblQ4hMpYlKleunDh79qy02n1YWJgoX7688PX1lSUmxxDJ5NWrV9KYGTMzM2mafa1atdC/f39NNk0WvXr1ytF5a9eulSX+3LlzMXjwYCxbtgxVq1YFkDE1e+jQoZg3b54sMT+lyfpPmi4IeenSJaXYctUIyY6RkREsLS2ln+Xk5OSExYsXo1GjRhBCICwsTIr9uezG+aiCQqHAuHHjMGrUKDx48ABJSUlwc3ODiYmJLPEqV66MkJAQWFpa/mPdL7lrfWlyDFObNm0QEhKC6tWrY/DgwejatSvWrFmDqKgo2ae+p6WlYdeuXUp/Yy1btpS97hIA9OjRA1FRUZgwYUK2ZVzktHjxYvj6+sLT01Np2ZKWLVti0aJFssRkHSKZeHh4YMmSJahbty68vb1RsWJFzJs3D4sXL8acOXOkqsKqkBfqH+no6MDR0RGVKlXC115SO3fuVFnMzx9rcnIyUlNTleoAFShQAMbGxrI97kyaqv+kyXo8z58/R8eOHXH8+HGlgez16tXDli1bYG1tLVtsTRSk3LVrF/r164fnz59LK35nJz8toTF58mSMGjUKRkZGGl+OqGfPnl89rs5imGFhYQgLC4OLiwtatGghW5wHDx6gWbNmePLkCcqUKQMgY2C9g4MD9u3bh5IlS8oWG8j4mzp58iQqVqwoa5xMiYmJWSYcPXjwQKkwo5xrJDIhkklgYCB0dXUxZMgQHDlyBC1atIAQAh8/fsSCBQtU+gG5fv16dOzYEfr6+li/fv1Xz/X19VVZ3E8NHDgQv//+OxwdHdGzZ0907dpVmhkgl396rJ+S63FnsrCwwL59+6TiaeqiqYKQQMbMuocPH2LDhg1wdXUFANy6dQu+vr4oVaoUfv/9d9lia7IgZVJSEszMzHD37t0vrpenyt65tm3bIigoCGZmZmjbtu1Xz5WrlyQtLQ2nT5+Gh4eHlPyS/Jo2bQohBDZt2pRlppWOjo48M60+4ebmhk2bNqmt11dXVxcxMTEoUqQI6tevjx07dqj39SbLhTjK4tGjR+LPP/8UV69elS3Gx48fxfr166VxDur2/v17sXnzZuHt7S2MjIzEDz/8IIKDgzVWt0SdNFX/SZP1eMzMzMT58+ez7D937pwwNzeXNbYmC1IKIcSxY8e+OKj67du3Ko3Vo0cPkZiYKP2sqZle+vr64uHDh7LGyMs2bNggvv/+e2FnZycePXokhBAiMDBQ1kkEmphp9amDBw+KRo0aSbXl5GZmZia9jyoUCvH8+XO1xM3EMUQySE9PR1BQEHbs2IFHjx5BoVDA2dkZ//vf/+Du7i5b3AIFCqBfv35S96K66evro1OnTujUqRMeP36MoKAgDBgwAKmpqbh586Zs4xw+p866T5k0Vf9Jk/V40tPTs4zjAICCBQtmGUOlaq9evcrymAGgbNmysl8eBTJ6Yry8vLLsT05ORvPmzVW66OWnl4I0uUZa+fLl8fDhQzg7O2skflxcHEaOHCmN0xOfXdyQ8zLl54ucZsaysLDAwoULZVv1XV9fH2/evMmyPykpCXp6erLEzG4oQsmSJWFkZJTl713Vf2ve3t6oV6+e1OPcpk2bLz5OORYTZkKkYkIItGzZEvv370eFChXg7u4OIQRu376NHj16YMeOHdi1a5ds8atVq4YrV67A0dFRthg5oaOjI42zUMd4iuTkZIwePRrbtm3Dy5cvsxyXow2fDzJ98OABbGxs4OTklOWNQ64Bp5oqCAkA9evXx9ChQ/H777/D3t4eAPD06VMMHz5c1uKEgGYLUgLAvn37YGlpqTSuJjk5GY0bN5Y9tqZMmzYNI0eOxNSpU1GlShUYGxsrHZf7S4cmB/guWbIEq1atQuvWrTFr1ixpf9WqVTFy5EjZ4jZv3hw//vgj1qxZI40RPHfuHPr164eWLVvKEnPhwoWy3G9O/Pbbb1i/fj0iIiIQGhqKcuXKqfULJhMiFQsKCsKJEycQEhKCevXqKR07evQoWrdujQ0bNqB79+6yxB8wYABGjBiBJ0+eZPum5eHhIUtcAEhJScGOHTuwdu1anDp1Cs2bN8fSpUvRuHFj2Vdd/+mnn3Ds2DGsWLEC3bp1w7Jly/D06VP88ssvSm9gqtS6dWtZ7jc35s2bB4VCge7duyM1NRVARg9N//79ZXvcmZYuXYqWLVvCyclJqkwdHR2N8uXL47fffpM19pw5c9CsWTMcOXIEnp6eADIGukZHR6t0AeEvOXToEGrXrg1LS0sMGzYMb968gY+PDwoUKIADBw7IFvdLM70UCgUMDAxQqlQp9OjRI8t7jypkLurasmVLpTYIIdQykPzUqVNqHeD7qcjIyGzH0ejr6yM5OVm2uJqYaSX3eMuvMTQ0RL9+/QBkTBiZPXu2WscQcVC1ijVq1Aj169fHmDFjsj0+Y8YMhIaG4uDBg7LEzy7xyOypkfNNa8CAAdiyZQscHBzQq1cvdOnSBYULF5YlVnaKFy+ODRs2wMvLC2ZmZrh8+TJKlSqFjRs34vfff1fLh6QmvX37FhEREQAgdW+rgxACR44cwZ07dwBkzALx9vZWS+xnz55h2bJlSrEHDBgg9VbJ7dq1a6hXrx4mTZqE33//Hfr6+ti3b1+WLyGqNHbsWKxYsQLu7u5KswqvXbuGHj164NatWwgJCcGOHTtUfhknNDT0q8fr1q2r0nifU/cA389jz5w5E61atVJa9X3JkiVYt26d7CUH7t+/r/Q6l3Om1ac+HeT8qZcvX6JIkSL5ZjZlJiZEKmZra4vg4OAvfou5cuUKmjRpgtjYWFniP378+KvH5bqUpqOjg+LFi/9jrRK5ZsGYmJjg1q1bKF68OIoVK4YdO3agWrVqiIyMhLu7uzQ1W07x8fHYvn07IiIiMGrUKFhZWeHy5cuwsbFB0aJFZY+vLmvXrkWXLl2gr6+v9tiZY1jUebnka8LCwtCwYUNUr14de/fuhaGhoazx+vTpg+LFi2PChAlK+6dNm4bHjx9j1apVmDRpEvbt24eLFy/K2hZ1O3ToEObPn49ffvkly1qJclu9ejUCAgIwf/58+Pn5YfXq1YiIiMDMmTOxevVqla/rNXHiRIwZM0b6YvP69esv1rySk46ODmJjY7MkRM+ePUPJkiXx7t07WeM/efIEe/bsQVRUVJZxoQsWLFB5PCZEKqanp4fHjx/Dzs4u2+PPnj2Ds7MzUlJS1NwyefXo0SNHH1JyDQpVZ92n7Fy7dg3e3t4wNzfHo0ePcPfuXZQoUQLjx49HVFQUNmzYoNJ4MTExWLp0qTS9vFatWnj79q10XFdXF7t27ZIlEfv8W6O9vT3OnDmjlg+pz2N36NABixcvho2Njeyxv5TsP378GEWKFFFKhuTqMTA3N8elS5ey9BA8ePAAVapUQUJCAu7cuYPvvvsu28G4/8X9+/exe/duaaJIiRIl0KpVK1kXbf6UpaUl3r59i9TUVLUM8P3cpk2bEBAQIPXE2tvbY/LkyfDz81N5rM9f52ZmZggPD1fbc505Nm/48OGYOnWq0oSYtLQ0nDhxAo8ePcKVK1dka0NISAhatmyJEiVK4M6dOyhfvjwePXoEIQQqV67MQdXfgrS0NKkeTHZ0dXWlsR5yOHr0aLaz2+SqnJspKChI1vv/Jz179sTVq1dRt25djBkzBi1atMDSpUuluk9y8/f3R48ePTBnzhyl2V1NmzZF586dVR5v+fLleP36tXT76tWr6NWrl1Sr5MCBAwgMDJSlSvfn36HevHkj+6yyL8Xev38/Zs6cqZbYeWHMmIGBAc6cOZMlITpz5gwMDAwAZMz+y/xZVWbOnImJEyciPT0dRYoUgRACL168wOjRozFjxgxZBxZn0tRg39TUVGzevBk+Pj7o0qUL3r59i6SkpC/WoFKFz1/n6u63CAwMlOKuXLlSqSq2np4enJycsHLlSlnbMHbsWIwcORKTJ0+Gqakp/vzzTxQpUgRdunSRb/KCWif5awGFQiGaNm0q2rRpk+3WtGlT2daA6du3r1AoFMLKykrUqFFDVK9eXVhZWQkdHR0xaNAgWWLmVeqo+/QpMzMzaQXsT1chf/TokdDX11d5vIoVKyqtZv9pTCGECA4OFm5ubiqPK0TGa/zTdbw+jy0nTcbOC6ZOnSoMDQ3FkCFDxMaNG8XGjRvFkCFDhJGRkZg2bZoQQogFCxYIb29vlcU8evSo0NHREZMmTRKvXr2S9r98+VJMmDBB6OrqitDQUJXFy4sMDQ2l2kPqkFde515eXuLVq1fi+fPn4sWLF2qNbWJiIr2nWlhYiBs3bgghMmowOTo6yhKTPUQqlpMR+nLMMNu5cyfWrVuHtWvXwtfXV+raz6yJ1L9/fzRs2FC2qZqatmHDBnTo0EEa1+Lo6AhHR0d8+PBB1ll9mfT19ZGYmJhl/71792RZwuLRo0dK9WAaNmyoNJi3TJkyiIyMVHlcIGOQ/qeXjj6/LafsYuWV8UTqMH78eDg7O2Pp0qXYuHEjgIz/61WrVkk9kf369VPpeokrV65E7969ERAQoLTfysoKU6ZMQWxsLFasWCF7L/Sn1F1rTN3lTBQKBd68eQMDAwNpQkxSUlKW9xg5H3N8fDxcXV3h4uIi9UZbWlqiY8eOmDZtmuyzv4yNjaX/Yzs7O0RERKBcuXIAgL///luWmBxDlE+0bNkS5cqV++Llg9GjR+POnTvYvXu3mlumHpqeDdG7d2+8fPkS27Ztg5WVFa5duwZdXV20bt0aderUUXl3v4mJCU6ePPnFGTdXrlxB7dq1ZRlMrqOjA3NzcykRiY+Ph5mZWZYZjnKM6dDR0UGTJk2kxPevv/5C/fr1s8zsknOhTyDj0nhgYCC2bduW7YBPdRSHVBdnZ2ds3LgRtWrVyvb4yZMn0b17d9kS8EyaqDWWadu2bRg7diyGDx+ulnImmXXcMmUmRZ/flusxv3r1Cp6ennj69Cm6dOmitDTP5s2b4eDggDNnzsg60Lt169Zo1qwZ+vTpg5EjR2L37t1SLT9LS0scOXJE5THZQ5RPXL58GePHj//i8bZt26Jdu3ZqbJF6ff6GkenJkydqWfV9/vz5+N///ociRYrg3bt3qFu3LmJjY+Hp6SnLulplypTBmTNnvpgQnTx5EqVLl1Z5XECz1ZI/74Ht2rWrRtoxefJkrF69GiNGjMD48eMxbtw4PHr0CLt27cLEiRNli+vr6ws/Pz+19sbExcV9dcC8s7OzbLNmP6WJWmOZMmeRDRkyJMsxORITVVY6/zemTJkCPT09REREZJmwMGXKFDRq1AhTpkyRxhrJYcGCBdIXusmTJyMpKQlbt26Fi4uLfONCZbkQR2qnr68vnj59+sXjT548EQYGBmpskXpUrFhRVKpUSejo6Ah3d3dRqVIlafPw8BCmpqbihx9+UFt7Tp06JZYtWyZmz54tDh8+LFucOXPmCCsrq2zHSIWHh4tChQqJOXPmyBZf25UoUULs3btXCKE81mHRokWiU6dOssVt1aqVKFiwoChVqpSYPn26ePLkiWyxMn0+nuVzsbGxso2L/JSDg4M4duyYEEIIU1NTcf/+fSFExhpjTZo0kTX2o0ePvrrlN46OjiI4OPiLxw8cOCDbOB5NYg9RPvHhw4ds15XKVKBAgSzd+vlB5syf8PBw+Pj4KE0PzZwNoc6esZo1a0qrr8fHx8sWZ9iwYdi7dy+qVKmChg0bokyZMgCAu3fv4vDhw/D09MSwYcNki6/tYmNjpXUJTUxMkJCQACBjqYXPawSp0q5du/DixQts3LgR69evx6RJk+Dt7Q0/Pz+0atXqq+8B/8Xq1au/uBahqqf3f8mrV6+kaedmZmbSZclatWqpdMxUdkxMTFCoUCEAGdXYV61ahXfv3qFly5aoXbu2rLE1ISYmRhqvk53y5curpVdQ3bXdmBDlIxMmTPhiheJPa9TkJ5MmTQIAODk5oUOHDiqfbpxTs2fPltoAAO3bt8eff/4JW1tbaV07VSpYsCAOHz6MBQsWYMuWLTh+/DgAwMXFBVOnTsXw4cNl+3AkoFixYoiJiUHx4sVRsmRJHDp0CJUrV8aFCxdkL1hpbW0Nf39/+Pv74/Lly1i3bh26desGExMTdO3aFQMGDICLi4vK4hUvXhyrVq36x3PkVqJECURGRqJ48eIoW7Ystm3bhmrVquGvv/6SbYDv9evX0aJFC0RHR8PFxQVbtmxB48aNkZycDB0dHQQGBmL79u15oiSDKhUuXBiPHj1CsWLFsj0eGRkplfiQy+e13fr06QMrKyvs2LFDltpuAHjJLL+oW7eu8PLy+sctP3v9+rVYtWqVGDNmjHj58qUQQohLly6p5bKCk5OTOH36tBBCiEOHDgkLCwtx8OBB4efnJxo2bCh7fFKv0aNHi+nTpwshhNiyZYsoUKCAKFWqlNDT0xOjR49WSxuePXsmZs2aJcqUKSOMjY1F9+7dRYMGDUSBAgXEggUL1NIGdVqwYIFYtGiREEKIw4cPCwMDA6Gvry8UCoVYuHChLDEbN24smjdvLk6dOiX69u0rihYtKnr16iXS0tJEWlqaGDBggKhevbossTWpZ8+eok6dOiIlJSXLsffv34u6deuKnj17ytqGBg0aiFGjRgkhlMsOnD59WrbLdZxlRvmCuitFf87Q0BD37t2Dg4MDhg4divfv3+OXX37BvXv3UL16daUiipT/hIWFISwsDC4uLmjRooVscT5+/Ig9e/Zg3bp1OHToEDw8PNC7d2907txZmoK9c+dO9OrVK9+/5h4/foxLly7BxcVFunypaoULF8bRo0fh4eGBpKQkmJmZ4cKFC6hSpQoA4M6dO6hRo4asl8c14cmTJ6hatSr09fUxcOBAlC1bFkII3L59G8uXL0dKSgouXrwoLeosB3Nzc1y+fBklS5ZUWj/u8ePHKFOmDN6/f6/6oLKkWURqVr9+fbV/m/iUnZ2d1ENUunRpsW3bNiGEEHfu3BGmpqayx9eE69evf/HYzp071dcQLVKoUCFhaWkpBgwYIK5cuZLtOa9fvxZOTk7qbZiMQkJChKurq0hISMhyLD4+Xri5uSkVKVWlfyqQKPeA8rVr14rk5GTZ7v9rHj58KBo3bix0dHSEQqEQCoVC6OjoCB8fH2lAu5ysra3F5cuXhRDKz/uhQ4dEsWLFZInJMUSUL1y8eBG//vprlv1FixZVy+C/tm3bonPnznBxccHLly/RpEkTABn1gNS1MrW6+fj44NSpU0oFIgHgzz//RPfu3ZGcnCxr/Pv37+PYsWN4/vx5lqVD5Jz6nmnjxo1YuXIlIiMjERYWBkdHRyxcuBDOzs4qX2k+U2BgIH744YevjpWzsLCQvSaQOi1cuBB9+vTJtgihubk5+vbtiwULFsg2uFmThUDHjBmDoUOH4ocffoCfnx++//57tcV2dnbGgQMH8Pr1a9y/fx8AUKpUKdnHDmVq2bIlpkyZgm3btgHIeN6joqIwevRo2SbKMCGifEHdlaI/FxgYCCcnJ0RHR2POnDnSjJyYmBgMGDBA9via0Lt3b3h7e+P06dOwtbUFAGzduhW9evWSfW27VatWoX///ihcuDBsbW2zVM6WOyFasWIFJk6ciGHDhmH69OlSHRoLCwssXLhQtoSoW7dustxvXnb16lXMnj37i8cbNWoky5p9mXr06CENlH///j369esnFWaUe5Hup0+f4q+//kJQUBC8vLxQokQJ9OzZE76+vtLfnNwsLS1RrVo1tcT6VHa13WJiYmSr7QawUjXlE+quFE0ZBg8ejGPHjuHEiRMIDg5G7969sXHjRtlLHTg6OmLAgAEYPXq0rHG+xM3NDTNmzEDr1q2VxjfcuHEDXl5eKl9aoG3btjk6T+4K3ZpgYGCAGzdufLGn9cGDB3B3d8e7d+9UHrtnz545Ok8dxUrj4uLw22+/Yf369bhz5w4aN24MPz8/tGjRIkuV+Pzk1KlTuHbtGpKSklClShU0aNBAtljsIcpnoqKi4ODgkKVbVwiB6OhotUyP1QR1V4r+3D8N2pZrLTV/f/9s9ysUChgYGKBUqVJo1aqVbN3cS5YsQZcuXVCjRg08ffoUv//+u2y9I596/fo1fvjhB9njfElkZGS2VcL19fVluVT4ebX1zZs3o0WLFjA1NVV5rE9l1+v6JXKtq1W0aNGvJkTXrl2DnZ2dLLE1WZX9czY2NqhVqxbu3buHe/fu4fr16/D19YWlpSXWrVsHLy8vTTdRJcLCwvDy5Us0b94cQEadqYiICMyZMwdv375F69atsWTJElnKW7CHKJ/R9Jpemvbpt4nKlSvD29tbLXE/X9Pn48ePePv2LfT09GBkZCTb2lb16tXD5cuXkZaWJhVnvHfvHnR1dVG2bFncvXsXCoUCp06dgpub23+Ot2fPniz7Pn78iOHDh6NRo0ZKiwfLuZCwn58fvvvuO/Tr10+2GF/j5uaGmTNnolWrVko9REuWLMG6detw+fJlWeN/GlNOn6+p9TVyvbcMHjwYx48fx4ULF7KMnXr37h2qVauGevXqYfHixbLE17S4uDhs3LgR69atw8OHD9G6dWv4+fnB29sbycnJmDJlCrZs2YLHjx9ruqkq0aRJE3h5eUm9v9evX0eVKlXg6+sLV1dXzJ07F3379s2y2LAqMCHKZ3R0dBAXF5dl3Mzjx4/h5uYm+0BX+j/3799H//79MWrUKPj4+MgSY+HChTh58iTWrVsnfUNPSEhA7969UatWLfTp0wedO3fGu3fvcPDgwf8cL6dd83IuPAkAM2fOxIIFC9CsWTO4u7tnKUKZ3ZpTqrR69WoEBARg/vz58PPzw+rVqxEREYGZM2di9erV0tpXclFXQhQaGir9/OjRI4wZMwY9evSAp6cngIxv8+vXr8fMmTOzrDOnKnFxcahcuTJ0dXUxaNAgKfG/c+cOli1bhrS0NKl6cX7TokULHDx4EKVLl0bv3r3RvXv3LL29z58/h62tbZaJBd8qOzs7/PXXX6hatSoAYNy4cQgNDcWpU6cAAH/88QcmTZqEW7duqTw2E6J8IvPSyaJFi9CnTx+litVpaWk4d+4cdHV1cfr0aU01UVZf+nb46aWjOnXqQFdXV63tunjxIrp27Yo7d+7Icv9FixbF4cOHs/T+3Lx5E40aNcLTp09x+fJlNGrUSOXjWjTp85ltn1IoFHj48KHsbdi0aRMCAgIQEREBALC3t8fkyZPh5+cne2x1JUSfatCgAXr37o1OnTop7d+8eTN+/fVXqVq6HB4/foz+/fvj4MGDyPzIUigU8PHxwbJly776eviW+fn5oXfv3lICmh0hBKKiouDo6KjGlsnHwMAA9+/fl2oc1apVC02aNMG4ceMAZCTm7u7usiwZwzFE+cSVK1cAZPxxXL9+HXp6etIxPT09VKhQASNHjtRU82QXGBiIFy9e4O3bt9Llq9evX8PIyAgmJiZ4/vw5SpQogWPHjslaTOxzBQoUwLNnz2S7/4SEBDx//jxLQvTixQtp/IeFhUW+W8dOk9PKU1NTsXnzZvj4+KBLly54+/YtkpKSslymzm/CwsKwcuXKLPurVq2K3r17yxrb0dER+/fvx+vXr/HgwQMIIeDi4pLlUnV+s2bNmn88R6FQ5JtkCMgYKxUZGQkHBwd8+PABly9fxuTJk6Xjb968kW1ZIiZE+cDixYuxf/9+GBoaomfPnli0aJFsAxzzqhkzZuDXX3/F6tWrUbJkSQAZs0/69u2LH3/8ETVr1kTHjh0xfPhwbN++XeXxPx9bI4RATEwMli5dKi32KodWrVqhV69emD9/Pr777jsAwIULFzBy5EhpfaXz58+jdOnSKo89ZMgQlCpVKsvlqaVLl+LBgwdqmdn34cMHREZGomTJkihQQD1vZwUKFEC/fv1w+/ZtAICRkdEX1xBUlc9fX+np6QgJCcGNGzeU9ss5bsvBwQGrVq3CnDlzlPavXr1abV8yLC0tpde5tggJCUFISEi29bbWrl2roVbJp2nTphgzZgxmz56NXbt2wcjISKnG1LVr16T3eJWTpdwjqZWurq5UTVVHR0epsqq2KFGiRLaVey9fviycnZ2FEBlVq21tbWWJn1nJ9dOKrjY2NqJTp07i2bNnssQUQog3b96I3r17Cz09PaGjoyN0dHSEnp6e6NOnj0hKShJCCHHlypUvVjX+L+zt7cXFixez7L906ZIoWrSoyuN9Kjk5WfTq1Uvo6uoKXV1dqYrtoEGDxMyZM2WNLUTG2oHqrMb9+esru03OislCCLFv3z5hYGAgypcvL/z8/ISfn59wd3cXBgYGYt++fbLG1lYBAQFCR0dHVKtWTbRq1Uq0bt1aacuPXrx4IWrXri0UCoUwNTUVO3bsUDpev3598fPPP8sSmz1E+YC9vT3+/PNPNG3aFEIIPHny5IvrvOTXafcxMTFITU3Nsj81NVWqVG1vby/LdWcAGhvQaGJiglWrViEwMFAaN1OiRAmpMCQAVKxYUZbYL1++zDIdHMiYfi33eKWxY8fi6tWrOH78OBo3bizt9/b2RkBAAMaMGSNr/AEDBmDEiBF48uQJqlSpIhXqy+Th4aHSeHlhwGzTpk1x//59rFixQuoda9GiBfr166fWy9DaZOXKlQgKCtKqgpyFCxfGiRMnkJCQABMTkyzjPv/44w+l9zeVkiXNIrX65ZdflHoIstvU8Q1Sk5o2bSoqV64srX0jREbvUJUqVUSzZs2EEELs2bNHlC9fXva2pKeni/T0dNnjaFq5cuXEkiVLsuxfvHixcHV1lTV28eLFRVhYmBBCeZ2j+/fvq2XtOE321GjChw8fRP369cW9e/c03RStYmVlJR48eKDpZmgN9hDlAz/++CM6deqEx48fw8PDA0eOHEGhQoU03Sy1WrNmDbp164YqVapIA+5SU1PRoEEDaWCiiYkJ5s+fL1sbNmzYgLlz50rr/pQuXRqjRo2S9dtdcnIyZs2a9cUxBnLOtvL398egQYPw4sUL1K9fH0DGeIf58+fLPn7oxYsX2Q5iTk5OVstaU/lprbCcKFiwIK5du6bpZmid3r17Y/PmzZgwYYKmm6IVmBDlE6ampihfvjzWrVuHmjVrylLFMy+ztbXF4cOHcefOHdy7dw8AUKZMGalmCZBRxFAuCxYswIQJEzBo0CBpEPWpU6fQr18//P333xg+fLgscXv37o3Q0FB069YNdnZ2al14slevXkhJScH06dMxdepUAICTkxNWrFghW2XuTFWrVsW+ffswePBgAP+34Obq1au/OkVZVUxMTKQvHdHR0Vi1ahXevXuHli1byrbIqKZ17doVa9aswaxZszTdlHzt0+rz6enp+PXXX3HkyBF4eHhkmV21YMECdTcvX2Mdonzq0qVL0nV+Nzc3VK5cWcMtUg9NzDoCMuriTJ48OUsisH79egQEBMjWo2BhYYF9+/bJOpMtJ168eAFDQ0P5ru1/5tSpU2jSpAm6du2KoKAg9O3bF7du3cKZM2cQGhqKKlWqyBL3+vXraNGiBaKjo+Hi4oItW7agcePGSE5Oho6ODpKTk7F9+3Zphl9+MnjwYGzYsAEuLi7Zjpvih7Nq5PSLm0KhwNGjR2VujXZhQpTPPH/+HB07dsTx48dhYWEBAIiPj0e9evWwZcsWtaz8rglv377F4MGDsX79egAZy1eUKFECgwcPRtGiRWUfZPulBSjv378Pd3f3Lw5y/6+cnZ2xf/9+uLq6ynL/eVlERARmzZqFq1evSku1jB49Gu7u7rLFbNKkCQoUKIAxY8Zg48aN2Lt3L3x8fLBq1SoAGUnDpUuXcPbsWdnaoClf+6DmhzPlC5odwkSq1r59e1G1alVx69Ytad/NmzdF1apVRceOHTXYMnkNGTJEVKlSRZw8eVIYGxtLg2x37dolKlasKHv8cuXKienTp2fZP3XqVFkHcm/cuFH873//E8nJybLF+Jo//vhD/PDDD6J69eqiUqVKSlt+VKhQIXH16lUhREbJA4VCoVR64Pbt28Lc3FxDraP8Jj4+Xrx8+TLL/pcvX4qEhAQNtCh/4xiifCY4OBhHjhxR6jFwc3PDsmXL0KhRIw22TF67du3C1q1bUaNGDaVxNOXKlZOWVpDT5MmT0aFDB5w4cUK6fHX69GmEhIRg27ZtssWdP38+IiIiYGNjAycnpyxjDORcZHTx4sUYN24cevTogd27d6Nnz56IiIjAhQsXMHDgQNniAkD9+vVRt25dTJo0SWn/69ev0a5dO9l6K169egVbW1sAGeOIjI2NlaolW1paqry0g6WlZY7Hhsm1iDBpRseOHdGiRQsMGDBAaf+2bduwZ88e7N+/X0Mty5+YEOUz6enp2ZY1L1iwYJ6oZSIXTc86ateuHc6dO4fAwEDs2rULAODq6orz58+jUqVKssXV5FiV5cuX49dff0WnTp0QFBSEn376CSVKlMDEiRNl/2A+fvw4rl+/jitXrmDTpk3SeJYPHz4oLUgqh89fT3K/vj6dsffy5UtMmzYNPj4+SgusHjx4UC0zkS5evIht27YhKioqy3IwO3bskD2+tjl37ly2Y7O8vLyktb1IdTiGKJ9p1aoV4uPj8fvvv8Pe3h4A8PTpU3Tp0gWWlpbYuXOnhlsojzp16uCHH37A4MGDYWpqimvXrsHZ2RmDBw/G/fv3ERwcLEvczPXC/kl+XErFyMgIt2/fhqOjI4oUKYLDhw+jQoUKuH//PmrUqIGXL1/KFltHRwdXrlxB3759kZycjL/++gtOTk6Ii4uDvb090tLSZIvbpEkTaRbnX3/9hfr160sJWUpKCoKDg2WL365dO9SrVw+DBg1S2r906VIcOXJESsblsGXLFnTv3h0+Pj44dOgQGjVqhHv37iEuLg5t2rTBunXrZIutrYyNjXH27Nks4+KuX7+O6tWr4+3btxpqWf7EHqJ8ZunSpWjZsiWcnJyk6rHR0dEoX748fvvtNw23Tj4zZsxAkyZNcOvWLaSmpmLRokVKs47kYmFhkaMeArk+IDXJ1tYWr169gqOjI4oXL46zZ8+iQoUKiIyMhDq+Z9nZ2SE0NBQ9e/bEd999hz/++EP2weW+vr5Kt7t27ZrlHDlLDhw8eBCzZ8/Osr9x48ayTxyYMWMGAgMDMXDgQJiammLRokVwdnZG3759YWdnJ2tsbVWtWjX8+uuvWLJkidL+lStXyjaTUpsxIcpnHBwccPnyZRw5cgR37twBkHHpxtvbW8Mtk8eNGzdQvnx51KpVC+Hh4Zg1axbc3d1x6NAhVK5cGWFhYbLOOjp27Jj0sxACTZs2xerVq1G0aFHZYlpZWeHevXsoXLjwP44vkfPSVf369bFnzx5UqlQJPXv2lBbOvXjxItq2bStbXOD/LlPp6+tj8+bNmDZtGho3bozRo0fLGlfTvSCFChXC7t27MWLECKX9u3fvlr0Ya0REBJo1awYA0NPTky5HDx8+HPXr11dakZxUY9q0afD29sbVq1fRoEEDABnFTy9cuIBDhw5puHX5Dy+Z0TdNR0cH3333HXr37o2OHTvC1NRUo+0xNTXF1atXUaJECdlirF+/Hh07doS+vj6CgoK+mhB93qOhSunp6UhPT5fqPW3ZsgVnzpyBi4sL+vbtCz09Pdli6+joIDY2Vmnc2J9//glfX1+8e/cuX/bIAUBQUBB69+6NJk2aoHr16gAyxpkEBwdj1apV6NGjh2yxixUrhgMHDsDd3R0eHh4YO3YsOnXqhLCwMDRu3BgJCQmyxdZmV69exZw5cxAeHg5DQ0PpuXdxcdF00/IfTU5xI9U5c+aM+Ouvv5T2rV+/Xjg5OQlra2vRp08f8f79ew21Tj4nTpwQPXv2FKampsLY2Fj4+vqKEydOaKw9n66rpWlv377VdBNk8+jRI5GWlpZl//Xr10VQUJAGWqQ+Z8+eFZ07d5bKG3Tu3FmcPXtW9ridOnUS8+fPF0IIMWXKFGFtbS169+4tHB0dRZs2bWSPr20+fPggevbsKR4+fKjppmgN9hDlE02aNIGXl5d0yeD69euoXLkyevToAVdXV8ydOxd9+/ZFQECAZhsqk+TkZGzbtg1BQUE4efIkSpUqBT8/P/j6+krTpNVBHT1EnxoyZAgWL16cZX9ycjKaN2+udElPDvHx8Th//ny266jJvXxHpidPngDI6MEg+bx69Qrv37+Hvb090tPTMWfOHKlHcPz48UrlB0g1zM3NER4eDmdnZ003RSswIcon7Ozs8Ndff6Fq1aoAgHHjxiE0NBSnTp0CAPzxxx+YNGkSbt26pclmqsWDBw+wbt06bNy4EbGxsWjcuDH27NmjltifznBTh5IlS6Jr165K4zeSk5PRuHFjAMDJkydli/3XX3+hS5cuSEpKgpmZmdKlO4VCIev4pfT0dEybNg3z589HUlISgIznfsSIERg3bhx0dHRki61p6enpePDgQbZJaJ06dTTUKpKDr68vKlasKNtaiKSMg6rzidevX8PGxka6HRoaiiZNmki3v/vuO0RHR2uiaWpXqlQp/Pzzz3B0dMTYsWOxb98+2WJ9Pnj4/fv36NevX5Z1nuSq0XLo0CHUrl0blpaWGDZsGN68eQMfHx8UKFAABw4ckCVmphEjRqBXr16YMWMGjIyMZI31uXHjxkkLjX66mG5AQADev3+P6dOnq7U96nL27Fl07twZjx8/zjKTT6FQyDJ2SptLS2iai4sLpkyZgtOnT2e7ftyQIUM01LL8iT1E+YSjoyM2btyIOnXq4MOHD7CwsMBff/0lzUy4fv066tatm+8r2Z44cQJr167Fn3/+CR0dHbRv3x5+fn6oUaOGLPF69uyZo/PknJ107do11KtXD5MmTcLvv/8OfX197Nu3L8ubp6oZGxvj+vXrars8+Cl7e3usXLkSLVu2VNq/e/duDBgwAE+fPlV7m9ShYsWKKF26NCZPngw7O7ssA+rNzc1VHlNHR+erA/eFELIlY9ruaz3NCoUCDx8+VGNr8j/2EOUTTZs2xZgxYzB79mzs2rULRkZGqF27tnT82rVrKFmypAZbKJ9nz54hKCgIQUFBePDgAb7//nssXrwY7du3lz0p0PQ0bADw8PDA3r170bBhQ1SvXh179+6FoaGh7HF9fHxw8eJFjSREr169QtmyZbPsL1u2bL5O+u/fv4/t27dnWURYTpooLUEZIiMjNd0ErcKEKJ+YOnUq2rZti7p168LExATr169Xmva8du3afLmWWZMmTXDkyBEULlwY3bt3R69evVCmTBlNN0tWlSpVyvYbu76+Pp49eyZdQgLkXcusWbNmGDVqFG7dugV3d/csS8Z83nujShUqVMDSpUuzDChfunQpKlSoIFtcTatevToePHig1oSobt26Srd1dXVRo0YNjSTCRHJiQpRPFC5cGCdOnEBCQgJMTEygq6urdPyPP/6AiYmJhlonn4IFC2L79u1o3rx5lsecX2ly/bJP9enTBwAwZcqULMfkvoQyZ84cNGvWDEeOHFFa0ys6OjpfL3g5ePBgjBgxArGxsdkmoR4eHhpqGcnlyZMn2LNnT7brx2W3zhn9exxDRETfpGfPnmHZsmVKFdkHDBggreGXH2U3e06hUKh1HI+6S0tos5CQELRs2RIlSpTAnTt3UL58eTx69AhCCFSuXBlHjx7VdBPzFSZERPRN+fjxIxo3boyVK1dqXbXex48ff/W4o6Oj7G1Qd2kJbVatWjU0adIEkydPlhLRIkWKoEuXLmjcuDH69++v6SbmK0yIiL5haWlpCAwMxLZt27LtUpdjgHFYWBhevnyJ5s2bS/s2bNiASZMmITk5Ga1bt8aSJUukFeHlYG1tLRUFJHl9Xlrir7/+Qv369dVWWkKbmZqaIjw8HCVLloSlpSVOnTqFcuXK4erVq2jVqhUePXqk6SbmK/m3ehmRFpg8eTIWLFiADh06ICEhAf7+/mjbti10dHRkq0o+ZcoU3Lx5U7p9/fp1+Pn5wdvbG2PGjMFff/2FmTNnyhI7U9euXbFmzRpZY+Rlt27dQnBwMPbs2aO0ycHc3Fxp69q1K+zt7bPsJ9UzNjaWvuTY2dkhIiJCOvb3339rqln5FnuIiL5hJUuWxOLFi9GsWTOlb5OLFy/G2bNnsXnzZpXHzAtV0QcPHowNGzbAxcUl24J1+XWw6cOHD9GmTRtcv35dGjsEQJp1yFpA+Uvr1q3RrFkz9OnTByNHjsTu3bvRo0cP7NixA5aWljhy5Iimm5ivcJYZfbNy841YzingmpQ52wgATExMpBXHmzdvjgkTJsgSMy9URb9x4wYqV64MALh3757Ssa8VEfzWDR06FM7OzggJCYGzszPOnz+Ply9fYsSIEZg3b56mm0cqtmDBAmlpmsmTJyMpKQlbt26Fi4tLvk36NYkJEX2zPp9+/uk35szbmfLrN+dixYohJiYGxYsXR8mSJXHo0CFUrlwZFy5ckG0Mj42NDSIjI+Hg4IAPHz7g8uXLSmupvXnzJst0cFV5+PAhnJ2dZV+0Nq8KCwvD0aNHUbhwYejo6EBHRwe1atXCzJkzMWTIEFy5ckXTTSQV+nQmn7GxMVauXKnB1uR/HENE36z09HRpO3ToECpWrIgDBw4gPj4e8fHx2L9/PypXrozg4GBNN1U2bdq0QUhICICMy0gTJkyAi4uLVKRSDplV0U+ePImxY8eqtSq6i4sLXrx4Id3u0KED4uLiZImVF6WlpcHU1BRARu2xZ8+eAciYXXb37l1NNo1kUKJECbx8+TLL/vj4eJY9kAF7iChfGDZsGFauXIlatWpJ+3x8fGBkZIQff/wRt2/f1mDr5DNr1izp5w4dOqB48eIICwuDi4sLWrRoIUtMTVZF/3zI4/79+2UfwJ2XlC9fHlevXoWzszOqV6+OOXPmQE9PD7/++is/IPOhR48eZdu7nZKSkm/X69MkJkSUL0RERMDCwiLLfnNzc62amurp6SlVbpaLtlZFzwvGjx+P5ORkABmz/Zo3b47atWujUKFC2Lp1q4ZbR6ry6fjIgwcPKs3iS0tLQ0hICJycnDTQsvyNs8woX6hTpw4MDAywceNGacBvXFwcunfvjvfv3yM0NFTDLZTHy5cvUahQIQBAdHQ0Vq1ahXfv3qFly5ZKl7HyC11dXcTGxsLa2hoAiwQCGbWmLC0t8/Vgcm2TWZH883GRQMZyRU5OTpg/f75SLTD675gQUb7w4MEDtGnTBvfu3YODw/9r785jojj/MIA/A7gerOBW5PIAbEERQUXaAqaIF2KJSasVbYsFPCJqvGvU1AOx/gSM1hJNVFQgakRTldiqtNxaUYNUt+KBBK+2br2AIpcczu8Pw9YVbC0sjDv7fJJNdi73maZ/fHnnO+/bG8DzAsHZ2RkpKSntuhhme7h8+TLGjx+vvcfk5GQEBgaisrISJiYmqKysxHfffffGrHumLyYmJhg3bpy2YZyTBJKcOTk5IS8vD1ZWVlJHMQosiEg2RFFEWlqaztpWo0ePluVfzuPGjYOZmRmWL1+OvXv34ocffsDYsWMRHx8P4HmDdX5+Ps6dOydxUv0KDw9/rfMSEhLaOAkRyQ0LIiIDZGVlhczMTHh4eKCiogIWFhbIy8vD0KFDAQDXr1+Ht7c3ysrKpA1KRP/Zm7A8jjFiUzXJRkZGBjIyMvDgwQM8e/ZM59iePXskStU2SkpKYGtrC+D5hIzm5uZQqVTa4yqVCk+ePJEqHhG1QlRUFPz9/bUFUePyOGFhYXB1dcXGjRthb2/fZsvzGCvOQ0SysHbtWgQEBCAjIwOPHj1CaWmpzkeOXn4UKMdHg0TG6NKlSxg1apR2Ozk5Ge+//z7i4+OxePFixMXF4dChQxImlCeOEJEsbN++HYmJiZg6darUUdpNWFiYdsi8pqYGERER2ubip0+fShmN2lBRURGysrKaHQldvXq1RKlIn96E5XGMEQsikoXa2lr4+vpKHaPdhIaG6myHhIQ0OeeLL75orzjUTuLj4zF79mxYWVnB1tZWZ1RQEAQWRDIh5fI4xoxN1SQLy5Ytg1KpbLMFTYneBA4ODpgzZw6WLVsmdRRqQ7Nnz4ZarUZMTAxSUlKQlJSEe/fuaWeE379/P7Zs2YK8vDyJk8oLR4hIFmpqarBz506kp6fDw8OjyV9PXBma5KC0tBSTJk2SOga1MSmXxzFmHCEiWRgxYsQrjwmCgMzMzHZMQ9Q2pk+fjnfffRcRERFSR6F28KrlcUpKSqBUKnWKJGo9FkRERG+wuLg47ffKykps3rwZQUFBcHd3bzISOn/+/PaORyQbLIiIiN5gr7tOmyAIuHnzZhunIZIvFkQkGxcuXMChQ4dw9+5d1NbW6hzj2lZERPRPODEjyUJycjJ8fX1x7do1HD16FHV1dbhy5QoyMzNhaWkpdTwivYiKikJVVVWT/dXV1YiKipIgEZF8cISIZMHDwwOzZs3C3Llz0bVrV6jVajg5OWHWrFmws7PTmcODyFCZmppCo9HA2tpaZ//jx49hbW2NhoYGiZIRGT6OEJEsFBcXIygoCACgUChQWVkJQRCwaNEi7Ny5U+J0RPohimKzS7So1Wq89dZbEiQikg/OQ0Sy8OJipj179kRBQQHc3d1RVlbW7CMGIkOiUqkgCAIEQYCLi4tOUdTQ0ICKigq+ik/USiyISBb8/PyQlpYGd3d3TJo0CQsWLEBmZibS0tJ0FkkkMkRbtmyBKIqYNm0a1q5dq9MXp1Ao4OjoCB8fHwkTEhk+9hCRLJSUlKCmpgb29vZ49uwZYmNjkZubC2dnZ6xcuRIqlUrqiEStlpOTA19fX65jRdQGWBAREb3BysvLX/tcCwuLNkxCJG8siIiI3mAmJibNNlK/qLHZmm+ZEbUce4iIiN5gWVlZUkcgMgocISIiIiKjxxEiIiIDU1VV1ewSNR4eHhIlIjJ8LIhIlsrLy5GZmYl+/frB1dVV6jhEevHw4UOEh4fj5MmTzR5nDxFRy3GmapKF4OBgbN26FcDzdZ28vLwQHBwMDw8PHD58WOJ0RPqxcOFClJWV4fz58+jcuTNSU1ORlJQEZ2dnHDt2TOp4RAaNBRHJwqlTp/DBBx8AAI4ePQpRFFFWVoa4uDh8/fXXEqcj0o/MzExs3rwZXl5eMDExgYODA0JCQhAbG4sNGzZIHY/IoLEgIln466+/tGs5paamYuLEiejSpQuCgoJQVFQkcToi/aisrNQu7KpSqfDw4UMAgLu7O3755RcpoxEZPBZEJAu9e/fG2bNnUVlZidTUVAQEBAAASktL0alTJ4nTEelHv379UFhYCAAYNGgQduzYgT/++APbt2+HnZ2dxOmIDBubqkkWFi5ciM8//xxKpRIODg7w9/cH8PxRmru7u7ThiPRkwYIF0Gg0AIA1a9YgMDAQ+/fvh0KhQGJiorThiAwc5yEi2cjPz8fdu3cxZswYKJVKAMDx48ehUqng6+srcToi/auqqsL169fRp08fWFlZSR2HyKDxkRnJQlRUFFxdXfHxxx9riyEAGDlyJNLT0yVMRqR/tbW1KCwshEKhgKenJ4shIj3gCBHJgqmpKTQajbbhtNHjx49hbW3N+VlIFqqqqjBv3jwkJSUBAG7cuIG+ffti3rx56NmzJ5YvXy5xQiLDxREikoXGxS1fplartW+fERm6FStWQK1WIzs7W+dlgdGjR+PgwYMSJiMyfGyqJoOmUqkgCAIEQYCLi4tOUdTQ0ICKigpERERImJBIf1JSUnDw4EF4e3vr/L/u5uaG4uJiCZMRGT4WRGTQtmzZAlEUMW3aNKxduxaWlpbaYwqFAo6OjvDx8ZEwIZH+PHz4sMljYeD5/ETNjZAS0etjQUQGLTQ0FADg5OQEX19fdOjQQeJERG3Hy8sLx48fx7x58wBAWwTt2rWLhT9RK7EgIoNVXl4OCwsLAMCQIUNQXV2N6urqZs9tPI/IkP3vf//DuHHjcPXqVdTX1+Pbb7/F1atXkZubi5ycHKnjERk0vmVGBuvFN8tMTEyafWTQ2GzNt8xILoqLixEdHQ21Wo2Kigp4enpi2bJlnICUqJVYEJHBysnJwbBhw2BmZvavfx0PHz68nVIREZEhYkFERPSGKy8vf63z+GiYqOVYEJEsnDp16h+P+/n5tVMSIv171SPhRnw0TNR6bKomWWhczPVFL89JRGSosrKytN9FUcSHH36IXbt2oWfPnhKmIpIXFkQkC6WlpTrbdXV1uHjxIlatWoX169dLlIpIP17ugTM1NYW3tzf69u0rUSIi+WFBRLLw4oSMjcaMGQOFQoHFixcjPz9fglRERGQouJYZyZqNjQ0KCwuljkFERG84jhCRLPz6668626IoQqPRIDo6GoMHD5YmFFEb4lIdRPrFgohkYfDgwRAEAS+/NOnt7Y09e/ZIlIpIPyZMmKCzXVNTg4iICJibm+vsP3LkSHvGIpIVFkQkC7du3dLZNjExQY8ePdCpUyeJEhHpz8s9ciEhIRIlIZIvzkNEBq+urg6BgYHYvn07nJ2dpY5DREQGiE3VZPA6dOjQpIeIiIjov2BBRLIQEhKC3bt3Sx2DiIgMFHuISBbq6+uxZ88epKenY+jQoU2aTTdv3ixRMiIiMgQsiEgWCgoK4OnpCQC4ceOGzjG+nkxERP+GTdVk0G7evAknJycWPURE1CrsISKD5uzsjIcPH2q3J0+ejPv370uYiIiIDBELIjJoLw9wnjhxApWVlRKlISIiQ8WCiIiIiIweCyIyaIIgNOkfYj8RERH9V3zLjAyaKIoICwtDx44dAXCNJyIiahkWRGTQQkNDdba5xhMREbUEX7snIiIio8ceIiIiIjJ6LIiIiIjI6LEgIiIiIqPHgoiIiIiMHgsiIiIiMnosiIjI6FVVVWHixImwsLCAIAgoKyuTOhIRtTMWRESkN40zh7/qExkZKXXEZiUlJeH06dPIzc2FRqOBpaVlk3MSExPRrVs37XZkZCQGDx7cfiGJqE1xYkYi0huNRqP9fvDgQaxevRqFhYXafUqlUopY/6q4uBiurq4YOHCg1FGISCIcISIivbG1tdV+LC0tIQgCbG1t0bVrV7i4uCA1NVXn/JSUFJibm+PJkye4ffs2BEFAcnIyfH190alTJwwcOBA5OTk61xQUFGDcuHFQKpWwsbHB1KlT8ejRo3/MdfjwYbi5uaFjx45wdHTEpk2btMf8/f2xadMmnDp1CoIgwN/f/1/vMzExEWvXroVardaOfiUmJgIAysrKMGPGDPTo0QMWFhYYOXIk1Gq19trGkaU9e/agT58+UCqVmDNnDhoaGhAbGwtbW1tYW1tj/fr12mtEUURkZCT69OmDjh07wt7eHvPnz//XnET0+lgQEVGbMzc3x5QpU5CQkKCzPyEhAZ988gm6du2q3bd06VIsWbIEFy9ehI+PD8aPH4/Hjx8DeF5sjBw5EkOGDMGFCxeQmpqK+/fvIzg4+JW/nZ+fj+DgYEyZMgWXL19GZGQkVq1apS1gjhw5gpkzZ8LHxwcajea11r2bPHkylixZAjc3N2g0Gmg0GkyePBkAMGnSJDx48AAnT55Efn4+PD09MWrUKJSUlGivLy4uxsmTJ5GamooDBw5g9+7dCAoKwu+//46cnBzExMRg5cqVOH/+PIDnBd0333yDHTt2oKioCCkpKXB3d3+9//hE9HpEIqI2kJCQIFpaWmq3z58/L5qamor37t0TRVEU79+/L5qZmYnZ2dmiKIrirVu3RABidHS09pq6ujqxV69eYkxMjCiKorhu3ToxICBA53d+++03EYBYWFjYbI7PPvtMHDNmjM6+pUuXigMGDNBuL1iwQBw+fPh/up81a9aIgwYN0jnn9OnTooWFhVhTU6Oz/+233xZ37Nihva5Lly5ieXm59vjYsWNFR0dHsaGhQbuvX79+4oYNG0RRFMVNmzaJLi4uYm1t7T9mJKKW4wgREbWL9957D25ubkhKSgIA7Nu3Dw4ODvDz89M5z8fHR/vdzMwMXl5euHbtGgBArVYjKysLSqVS++nfvz+A56Muzbl27RqGDRums2/YsGEoKipCQ0OD3u6vMV9FRQW6d++uk/HWrVs6+RwdHXVGxWxsbDBgwACYmJjo7Hvw4AGA56NO1dXV6Nu3L2bOnImjR4+ivr5er9mJjB2bqomo3cyYMQPbtm3D8uXLkZCQgPDwcAiC8NrXV1RUYPz48YiJiWlyzM7OTp9RW6SiogJ2dnbIzs5ucuzFN9Q6dOigc0wQhGb3PXv2DADQu3dvFBYWIj09HWlpaZgzZw42btyInJycJtcRUctwhIiI2k1ISAju3LmDuLg4XL16FaGhoU3OOXfunPZ7fX098vPz4erqCgDw9PTElStX4OjoiHfeeUfnY25u3uxvurq64syZMzr7zpw5AxcXF5iamrb4XhQKRZMRJk9PT/z5558wMzNrks/KyqrFvwUAnTt3xvjx4xEXF4fs7GycPXsWly9fbtW/SUR/Y0FERO1GpVJhwoQJWLp0KQICAtCrV68m52zbtg1Hjx7F9evXMXfuXJSWlmLatGkAgLlz56KkpASffvop8vLyUFxcjB9//BHh4eGvfPy1ZMkSZGRkYN26dbhx4waSkpKwdetWfPnll626F0dHR9y6dQuXLl3Co0eP8PTpU4wePRo+Pj746KOP8NNPP+H27dvIzc3FV199hQsXLrT4txITE7F7924UFBTg5s2b2LdvHzp37gwHB4dW3QMR/Y0FERG1q+nTp6O2tlZb5LwsOjoa0dHRGDRoEH7++WccO3ZMO7pib2+PM2fOoKGhAQEBAXB3d8fChQvRrVs3nf6bF3l6euLQoUNITk7GwIEDsXr1akRFRSEsLKxV9zFx4kQEBgZixIgR6NGjBw4cOABBEHDixAn4+fkhPDwcLi4umDJlCu7cuQMbG5sW/1a3bt0QHx+PYcOGwcPDA+np6fj+++/RvXv3Vt0DEf1NEEVRlDoEERmPvXv3YtGiRbh37x4UCoV2/+3bt+Hk5ISLFy9yBmgiandsqiaidlFVVQWNRoPo6GjMmjVLpxgiIpIaH5kRUbuIjY1F//79YWtrixUrVkgdh4hIBx+ZERERkdHjCBEREREZPRZEREREZPRYEBEREZHRY0FERERERo8FERERERk9FkRERERk9FgQERERkdFjQURERERG7/8FktjRyMX43wAAAABJRU5ErkJggg==\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "sns.barplot(data=df, x='Item_Type', y=\"Item_Outlet_Sales\", hue='Item_Fat_Content');\n",
        "plt.ylabel('Oulet Sales')\n",
        "plt.xlabel('Type of Items')\n",
        "plt.xticks(rotation = 90);"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Conclusion: regular products represent the principle sales and more specifically seafood. Fruits and vegetables come in the second position even though they represent the main products offered for sales. For Low fat item, starchy foods represent the most selled product."
      ],
      "metadata": {
        "id": "aUu8bz-eZCOJ"
      }
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "niQ6uqIf0Gy1"
      },
      "source": [
        "2.Analyse the relation between Item Outlet Sales and Outlet_Type:"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "v2bxVk037uHX",
        "outputId": "99f076d6-3cec-4cc4-c650-c9f51d9504f9"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Supermarket Type1    65.43\n",
              "Grocery Store        12.71\n",
              "Supermarket Type3    10.97\n",
              "Supermarket Type2    10.89\n",
              "Name: Outlet_Type, dtype: float64"
            ]
          },
          "metadata": {},
          "execution_count": 16
        }
      ],
      "source": [
        "df['Outlet_Type'].value_counts(normalize = True).mul(100).round(2)"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Graph 2.A"
      ],
      "metadata": {
        "id": "Wfq4WxH4a3UT"
      }
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 488
        },
        "id": "IHY_fPUqtCyE",
        "outputId": "77ff88b0-6f77-40b3-c18b-7ef40d3cf9dc"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1500x500 with 4 Axes>"
            ],
            "image/png": 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          },
          "metadata": {}
        }
      ],
      "source": [
        "plt.figure(figsize=(15,5))\n",
        "\n",
        "plt.subplot(1, 4, 1);\n",
        "price_filter1 = df.loc[:, 'Outlet_Type'] == 'Supermarket Type1'\n",
        "df.loc[price_filter1, 'Item_Outlet_Sales'].hist(bins = 10,edgecolor='black', color = \"green\");\n",
        "plt.xticks(rotation = 45)\n",
        "plt.ylabel('Count')\n",
        "plt.xlabel('Outlet Sales')\n",
        "plt.xlim(left=0,right=10000)\n",
        "plt.ylim(bottom=0,top=1800)\n",
        "plt.legend((\"Supermarket Type1\",), loc='upper right');\n",
        "\n",
        "\n",
        "plt.subplot(1, 4, 2);\n",
        "price_filter2 = df.loc[:, 'Outlet_Type'] == 'Supermarket Type2'\n",
        "df.loc[price_filter2, 'Item_Outlet_Sales'].hist(bins = 10,alpha=.5,edgecolor='black', color = \"blue\");\n",
        "plt.xticks(rotation = 45)\n",
        "plt.xlabel('Outlet Sales')\n",
        "plt.xlim(left=0,right=10000)\n",
        "plt.ylim(bottom=0,top=1800)\n",
        "plt.legend((\"Supermarket Type2\",), loc='upper center');\n",
        "\n",
        "plt.subplot(1, 4, 3);\n",
        "price_filter3 = df.loc[:, 'Outlet_Type'] == 'Supermarket Type3'\n",
        "df.loc[price_filter3, 'Item_Outlet_Sales'].hist(bins = 10,alpha=.7,edgecolor='black', color = \"red\");\n",
        "plt.xticks(rotation = 45)\n",
        "plt.xlabel('Outlet Sales')\n",
        "plt.xlim(left=0,right=10000)\n",
        "plt.ylim(bottom=0,top=1800)\n",
        "plt.legend((\"Supermarket Type3\",), loc='upper center');\n",
        "\n",
        "plt.subplot(1, 4, 4);\n",
        "price_filter4= df.loc[:, 'Outlet_Type'] == 'Grocery Store'\n",
        "df.loc[price_filter4, 'Item_Outlet_Sales'].hist(bins = 10,alpha=.5,edgecolor='black', color = \"orange\");\n",
        "plt.xticks(rotation = 45)\n",
        "plt.xlabel('Outlet Sales')\n",
        "plt.xlim(left=0,right=10000)\n",
        "plt.ylim(bottom=0,top=1800)\n",
        "plt.legend((\"Grocery Store\",), loc='upper center');\n"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Supermarket type 1 represent the main type of outlets followed by the grocery stores."
      ],
      "metadata": {
        "id": "BtGsObttpmRU"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "Graph 2.B"
      ],
      "metadata": {
        "id": "P7AepxV-a_Mx"
      }
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 544
        },
        "id": "qFpkMmhrs75z",
        "outputId": "a69daf49-a4bb-4d25-e47e-f169e62f1ddb"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "sns.barplot(data=df, x='Outlet_Type', y=\"Item_Outlet_Sales\");\n",
        "plt.xticks(rotation = 45);\n",
        "plt.ylabel('Outlet Sales')\n",
        "plt.xlabel('Outlet Type');"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Supermarket Type3 shows the highest sales average (3700). Supermarket Type 1 come in the second position (2400 sales' average) even though they are the main type among all outlets.\n"
      ],
      "metadata": {
        "id": "w9bHs0vKpA2E"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "3.Analyse the relation between Item Outlet Sales and Outlet location type:"
      ],
      "metadata": {
        "id": "I3sMvtCsFYi2"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "df.groupby('Outlet_Location_Type')['Item_Outlet_Sales'].mean().round(2)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "mMlJjOcNzKiS",
        "outputId": "cd070ecf-76ec-4bcc-b8b0-a3d123ffcf81"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Outlet_Location_Type\n",
              "Tier 1    1876.91\n",
              "Tier 2    2323.99\n",
              "Tier 3    2279.63\n",
              "Name: Item_Outlet_Sales, dtype: float64"
            ]
          },
          "metadata": {},
          "execution_count": 19
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "data=df.groupby('Outlet_Location_Type')['Item_Outlet_Sales'].mean().round(2)\n",
        "labels = ['Tier1', 'Tier2', 'Tier3']\n",
        "colors = sns.color_palette('dark')[0:5]\n",
        "plt.pie( data, labels = labels, colors = colors, autopct='%.0f%%')\n",
        "plt.title(\" Percentage of Outlets Sales according to the different locations of the outlets\", bbox={'facecolor':'0.8', 'pad':5})\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 428
        },
        "id": "uQUqyLzwdciq",
        "outputId": "571c2b31-aa4e-4ebc-f253-155938805caa"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Outlets in location Tier 3 and Tier 2 show the highest sales percentage."
      ],
      "metadata": {
        "id": "mwgpiTkLqpaP"
      }
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "KacWkaenBcnW"
      },
      "source": [
        "4.Analyse the relation between Item Outlet Sales and Outlet Size:"
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "df.groupby('Outlet_Size')['Item_Outlet_Sales'].mean().round(2)"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "id": "KqH4Dobr1iDQ",
        "outputId": "052370ed-1ab6-4176-d084-72d48d27ac53"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "Outlet_Size\n",
              "High      2299.00\n",
              "Medium    2283.73\n",
              "Small     1912.15\n",
              "Name: Item_Outlet_Sales, dtype: float64"
            ]
          },
          "metadata": {},
          "execution_count": 21
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "data=df.groupby('Outlet_Size')['Item_Outlet_Sales'].mean().round(2)\n",
        "labels = ['High', 'Medium', 'Small']\n",
        "colors = sns.color_palette('bright')[0:5]\n",
        "plt.pie( data, labels = labels, colors = colors, autopct='%.0f%%')\n",
        "plt.title(\"Percentage of Outlets Sales according to the different size of the outlets\", bbox={'facecolor':'none', 'edgecolor':'black', 'boxstyle':'round', 'pad': 0.3})\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 428
        },
        "id": "Y0noVqKMkHzY",
        "outputId": "dd2231e4-778f-4e2e-e520-9322d6fe4658"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Most sales are done in medium and high sizes outlets."
      ],
      "metadata": {
        "id": "TeA9sp_SuqBw"
      }
    },
    {
      "cell_type": "markdown",
      "metadata": {
        "id": "_85hXUU0BiUf"
      },
      "source": [
        "5.Analyse the relation between Item Outlet Sales and Item MRP:"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Graph 5.A"
      ],
      "metadata": {
        "id": "MB5GVGQ4oYSy"
      }
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "id": "DKSdTIHwBnG4",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "f437b4df-449a-4d7f-ee41-f878798a5335"
      },
      "outputs": [
        {
          "output_type": "stream",
          "name": "stderr",
          "text": [
            "<ipython-input-23-647377e9e0db>:1: FutureWarning: The default value of numeric_only in DataFrame.corr is deprecated. In a future version, it will default to False. Select only valid columns or specify the value of numeric_only to silence this warning.\n",
            "  corr = df1.corr()\n"
          ]
        }
      ],
      "source": [
        "corr = df1.corr()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 623
        },
        "id": "7JZGY145B7Sa",
        "outputId": "295acc29-d912-45b0-ffca-fabfb21c01d6"
      },
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(<Axes: >,)"
            ]
          },
          "metadata": {},
          "execution_count": 24
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "sns.heatmap(corr, cmap = 'Greens', annot = True),"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "There is a moderate correlation between Item Outlet sales and Item MRP(r=0.57)."
      ],
      "metadata": {
        "id": "zvrFb4Jqu1aP"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "Graph 5.B"
      ],
      "metadata": {
        "id": "2QpoY2TVeunG"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "sns.regplot(data=df, x='Item_MRP', y='Item_Outlet_Sales',line_kws = dict(color='red', ls='solid'));"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 449
        },
        "id": "k0gvGMPoye1N",
        "outputId": "193591d7-7383-422f-c375-85eb1e295c53"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "The scatterplot correlating Item outlet sales with item MRP shows 4 groups.\n",
        "Items with MRP between 20 and 70 (group 1) show the lowest sales average, followed by Items with MRP between 80 and 140 (group 2), then Items with MRP between 140 and 200 (group 3) and finally Items with sales between 210 and 270 (group 4) that represent the highest items'sales ."
      ],
      "metadata": {
        "id": "p0wijy8WvjaE"
      }
    },
    {
      "cell_type": "markdown",
      "source": [
        "there are a positive correlation between sales and MRP. The sales increase whith the increase of the Item MRP."
      ],
      "metadata": {
        "id": "jWBKiFrdzkes"
      }
    }
  ]
}