uber_analysis.ipynb

{
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      "metadata": {
        "id": "view-in-github",
        "colab_type": "text"
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      "source": [
        "<a href=\"https://colab.research.google.com/github/i-ninte/data-analytics-R-python/blob/main/uber_analysis.ipynb\" target=\"_parent\"><img src=\"https://colab.research.google.com/assets/colab-badge.svg\" alt=\"Open In Colab\"/></a>"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "# UBER DATA ANALYSIS"
      ],
      "metadata": {
        "id": "JBOxJBzY3aia"
      },
      "id": "JBOxJBzY3aia"
    },
    {
      "cell_type": "markdown",
      "id": "99b069f7-28af-47c0-85ce-b6b802e8d3ff",
      "metadata": {
        "id": "99b069f7-28af-47c0-85ce-b6b802e8d3ff"
      },
      "source": [
        "Uber is a multinational transportation network company that operates a platform connecting riders with drivers through a mobile app. It was founded in 2009 and has since become one of the most well-known examples of a ride-hailing service. Uber allows users to request a ride from their current location to a desired destination using their smartphone. The app matches the user with an available driver in the area, and the driver arrives to pick up the passenger.\n",
        "\n",
        "Uber offers various types of services, including UberX (standard car), UberXL (larger vehicles), UberBlack (luxury vehicles), and UberPOOL (shared rides with other passengers traveling in the same direction). The fares for rides are calculated based on factors such as distance traveled, time spent on the trip, and demand at the time of the request.\n",
        "\n",
        "Uber has gained popularity for its convenience, ease of use, and competitive pricing compared to traditional taxi services. It has expanded its operations to numerous cities around the world and has also introduced other services like food delivery (Uber Eats) and package delivery (Uber Connect)."
      ]
    },
    {
      "cell_type": "markdown",
      "id": "f2a4d106-7ad1-4d17-9775-899cb3acd03d",
      "metadata": {
        "id": "f2a4d106-7ad1-4d17-9775-899cb3acd03d"
      },
      "source": [
        "## IMPORTING LIBRARIES"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 1,
      "id": "97e6a35f-2892-44b7-9a4f-dda5278410e6",
      "metadata": {
        "id": "97e6a35f-2892-44b7-9a4f-dda5278410e6"
      },
      "outputs": [],
      "source": [
        "import pandas as pd\n",
        "import numpy as np\n",
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "ece51016-eec6-4bc0-b8da-7a915d6316a9",
      "metadata": {
        "id": "ece51016-eec6-4bc0-b8da-7a915d6316a9"
      },
      "source": [
        "## READING THE DATASET"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": 2,
      "id": "4635f1eb-98f8-49c7-b6ca-e80489f5e6f9",
      "metadata": {
        "id": "4635f1eb-98f8-49c7-b6ca-e80489f5e6f9"
      },
      "outputs": [],
      "source": [
        "data= pd.read_csv(\"uber.csv\")"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "cdc49be8-fc97-45ec-bf9e-4f707104f3fc",
      "metadata": {
        "id": "cdc49be8-fc97-45ec-bf9e-4f707104f3fc"
      },
      "source": [
        "## PREVIEWING THE DATASET"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "73a8cee9-500c-4e60-b772-db6587f97a97",
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              "      <th>0</th>\n",
              "      <td>01-01-2016 21:11</td>\n",
              "      <td>01-01-2016 21:17</td>\n",
              "      <td>Business</td>\n",
              "      <td>Fort Pierce</td>\n",
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              "      <td>5.1</td>\n",
              "      <td>Meal/Entertain</td>\n",
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              "      <th>1</th>\n",
              "      <td>01-02-2016 01:25</td>\n",
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              "      <td>Business</td>\n",
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              "      <td>5.0</td>\n",
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              "      <th>2</th>\n",
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              "      <td>01-02-2016 20:38</td>\n",
              "      <td>Business</td>\n",
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              "      <td>4.8</td>\n",
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              "      <th>3</th>\n",
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              "      <td>Business</td>\n",
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              "      <th>4</th>\n",
              "      <td>01-06-2016 14:42</td>\n",
              "      <td>01-06-2016 15:49</td>\n",
              "      <td>Business</td>\n",
              "      <td>Fort Pierce</td>\n",
              "      <td>West Palm Beach</td>\n",
              "      <td>63.7</td>\n",
              "      <td>Customer Visit</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
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              "         START_DATE          END_DATE  CATEGORY        START             STOP  \\\n",
              "0  01-01-2016 21:11  01-01-2016 21:17  Business  Fort Pierce      Fort Pierce   \n",
              "1  01-02-2016 01:25  01-02-2016 01:37  Business  Fort Pierce      Fort Pierce   \n",
              "2  01-02-2016 20:25  01-02-2016 20:38  Business  Fort Pierce      Fort Pierce   \n",
              "3  01-05-2016 17:31  01-05-2016 17:45  Business  Fort Pierce      Fort Pierce   \n",
              "4  01-06-2016 14:42  01-06-2016 15:49  Business  Fort Pierce  West Palm Beach   \n",
              "\n",
              "   MILES          PURPOSE  \n",
              "0    5.1   Meal/Entertain  \n",
              "1    5.0              NaN  \n",
              "2    4.8  Errand/Supplies  \n",
              "3    4.7          Meeting  \n",
              "4   63.7   Customer Visit  "
            ]
          },
          "execution_count": 4,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "data.head()"
      ]
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      "execution_count": null,
      "id": "0f8d436f-92e2-4f88-9796-28eeda510470",
      "metadata": {
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        "outputId": "46b1b121-b10f-40d3-c540-d6968007f92b"
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        {
          "name": "stdout",
          "output_type": "stream",
          "text": [
            "<class 'pandas.core.frame.DataFrame'>\n",
            "RangeIndex: 1156 entries, 0 to 1155\n",
            "Data columns (total 7 columns):\n",
            " #   Column      Non-Null Count  Dtype  \n",
            "---  ------      --------------  -----  \n",
            " 0   START_DATE  1156 non-null   object \n",
            " 1   END_DATE    1155 non-null   object \n",
            " 2   CATEGORY    1155 non-null   object \n",
            " 3   START       1155 non-null   object \n",
            " 4   STOP        1155 non-null   object \n",
            " 5   MILES       1156 non-null   float64\n",
            " 6   PURPOSE     653 non-null    object \n",
            "dtypes: float64(1), object(6)\n",
            "memory usage: 63.3+ KB\n"
          ]
        }
      ],
      "source": [
        "data.info()"
      ]
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      "cell_type": "code",
      "execution_count": null,
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              "      <th>count</th>\n",
              "      <td>1156.000000</td>\n",
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              "      <th>25%</th>\n",
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              "      <th>50%</th>\n",
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              "      <th>75%</th>\n",
              "      <td>10.400000</td>\n",
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              "              MILES\n",
              "count   1156.000000\n",
              "mean      21.115398\n",
              "std      359.299007\n",
              "min        0.500000\n",
              "25%        2.900000\n",
              "50%        6.000000\n",
              "75%       10.400000\n",
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        "data.describe()"
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        "outputId": "cb94aab5-7ae8-467c-aa66-c9baf6a7d668"
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        {
          "data": {
            "text/plain": [
              "(1156, 7)"
            ]
          },
          "execution_count": 8,
          "metadata": {},
          "output_type": "execute_result"
        }
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      "source": [
        "data.shape"
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      "cell_type": "markdown",
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      "metadata": {
        "id": "9630dd19-da9d-49d5-91f0-2f81fcc38dc5"
      },
      "source": [
        "## DATA CLEANING"
      ]
    },
    {
      "cell_type": "code",
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        "outputId": "d20b0763-8cf5-4d75-97bb-ab5afdc7a4b7"
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        {
          "data": {
            "text/plain": [
              "START_DATE      0\n",
              "END_DATE        1\n",
              "CATEGORY        1\n",
              "START           1\n",
              "STOP            1\n",
              "MILES           0\n",
              "PURPOSE       503\n",
              "dtype: int64"
            ]
          },
          "execution_count": 9,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "data.isnull().sum()"
      ]
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      "cell_type": "code",
      "execution_count": 3,
      "id": "a5044919-d57e-414a-9b50-71b250f56164",
      "metadata": {
        "id": "a5044919-d57e-414a-9b50-71b250f56164"
      },
      "outputs": [],
      "source": [
        "data = data.dropna()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "c38c85f6-1173-4068-a826-f8a1bfeb7e83",
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        "outputId": "65b548fb-dee3-4ee8-db87-2149a73ff0c2"
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        {
          "data": {
            "text/plain": [
              "(653, 7)"
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          "execution_count": 27,
          "metadata": {},
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        "data.shape"
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      "execution_count": 4,
      "id": "46e5a211-5028-43c7-896e-d3ee191999bf",
      "metadata": {
        "id": "46e5a211-5028-43c7-896e-d3ee191999bf"
      },
      "outputs": [],
      "source": [
        "duplicates= data[data.duplicated()]"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "dcf458f4-405b-4639-a71a-cc60b65029a4",
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              "      <th>492</th>\n",
              "      <td>6/28/2016 23:34</td>\n",
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              "      <td>Business</td>\n",
              "      <td>Durham</td>\n",
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              "          START_DATE         END_DATE  CATEGORY   START  STOP  MILES  PURPOSE\n",
              "492  6/28/2016 23:34  6/28/2016 23:59  Business  Durham  Cary    9.9  Meeting"
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      "metadata": {
        "id": "e6725627-db74-4df2-96e3-cda9d941fef8"
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        "data= data.drop_duplicates()"
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              "      <td>Business</td>\n",
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              "      <th>5</th>\n",
              "      <td>01-06-2016 17:15</td>\n",
              "      <td>01-06-2016 17:19</td>\n",
              "      <td>Business</td>\n",
              "      <td>West Palm Beach</td>\n",
              "      <td>West Palm Beach</td>\n",
              "      <td>4.3</td>\n",
              "      <td>Meal/Entertain</td>\n",
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              "      <th>1150</th>\n",
              "      <td>12/31/2016 1:07</td>\n",
              "      <td>12/31/2016 1:14</td>\n",
              "      <td>Business</td>\n",
              "      <td>Kar?chi</td>\n",
              "      <td>Kar?chi</td>\n",
              "      <td>0.7</td>\n",
              "      <td>Meeting</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1151</th>\n",
              "      <td>12/31/2016 13:24</td>\n",
              "      <td>12/31/2016 13:42</td>\n",
              "      <td>Business</td>\n",
              "      <td>Kar?chi</td>\n",
              "      <td>Unknown Location</td>\n",
              "      <td>3.9</td>\n",
              "      <td>Temporary Site</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1152</th>\n",
              "      <td>12/31/2016 15:03</td>\n",
              "      <td>12/31/2016 15:38</td>\n",
              "      <td>Business</td>\n",
              "      <td>Unknown Location</td>\n",
              "      <td>Unknown Location</td>\n",
              "      <td>16.2</td>\n",
              "      <td>Meeting</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1153</th>\n",
              "      <td>12/31/2016 21:32</td>\n",
              "      <td>12/31/2016 21:50</td>\n",
              "      <td>Business</td>\n",
              "      <td>Katunayake</td>\n",
              "      <td>Gampaha</td>\n",
              "      <td>6.4</td>\n",
              "      <td>Temporary Site</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>1154</th>\n",
              "      <td>12/31/2016 22:08</td>\n",
              "      <td>12/31/2016 23:51</td>\n",
              "      <td>Business</td>\n",
              "      <td>Gampaha</td>\n",
              "      <td>Ilukwatta</td>\n",
              "      <td>48.2</td>\n",
              "      <td>Temporary Site</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "<p>652 rows × 7 columns</p>\n",
              "</div>"
            ],
            "text/plain": [
              "            START_DATE          END_DATE  CATEGORY             START  \\\n",
              "0     01-01-2016 21:11  01-01-2016 21:17  Business       Fort Pierce   \n",
              "2     01-02-2016 20:25  01-02-2016 20:38  Business       Fort Pierce   \n",
              "3     01-05-2016 17:31  01-05-2016 17:45  Business       Fort Pierce   \n",
              "4     01-06-2016 14:42  01-06-2016 15:49  Business       Fort Pierce   \n",
              "5     01-06-2016 17:15  01-06-2016 17:19  Business   West Palm Beach   \n",
              "...                ...               ...       ...               ...   \n",
              "1150   12/31/2016 1:07   12/31/2016 1:14  Business           Kar?chi   \n",
              "1151  12/31/2016 13:24  12/31/2016 13:42  Business           Kar?chi   \n",
              "1152  12/31/2016 15:03  12/31/2016 15:38  Business  Unknown Location   \n",
              "1153  12/31/2016 21:32  12/31/2016 21:50  Business        Katunayake   \n",
              "1154  12/31/2016 22:08  12/31/2016 23:51  Business           Gampaha   \n",
              "\n",
              "                  STOP  MILES          PURPOSE  \n",
              "0          Fort Pierce    5.1   Meal/Entertain  \n",
              "2          Fort Pierce    4.8  Errand/Supplies  \n",
              "3          Fort Pierce    4.7          Meeting  \n",
              "4      West Palm Beach   63.7   Customer Visit  \n",
              "5      West Palm Beach    4.3   Meal/Entertain  \n",
              "...                ...    ...              ...  \n",
              "1150           Kar?chi    0.7          Meeting  \n",
              "1151  Unknown Location    3.9   Temporary Site  \n",
              "1152  Unknown Location   16.2          Meeting  \n",
              "1153           Gampaha    6.4   Temporary Site  \n",
              "1154         Ilukwatta   48.2   Temporary Site  \n",
              "\n",
              "[652 rows x 7 columns]"
            ]
          },
          "execution_count": 36,
          "metadata": {},
          "output_type": "execute_result"
        }
      ],
      "source": [
        "data"
      ]
    },
    {
      "cell_type": "markdown",
      "id": "8ec500d0-4239-4d5b-8119-e4c31485cc0e",
      "metadata": {
        "id": "8ec500d0-4239-4d5b-8119-e4c31485cc0e"
      },
      "source": [
        "## EXPLORATION AND ANALYSIS"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "### CATEGORY ANALYSIS"
      ],
      "metadata": {
        "id": "8I54KrMbr5-R"
      },
      "id": "8I54KrMbr5-R"
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "7add317f-81c8-4731-8be2-ae0208bb85c6",
      "metadata": {
        "id": "7add317f-81c8-4731-8be2-ae0208bb85c6",
        "outputId": "d3c3cf41-b5c8-45f4-bf9a-8daf36952f39"
      },
      "outputs": [
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "/tmp/ipykernel_732/1076834810.py:5: FutureWarning: \n",
            "\n",
            "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `y` variable to `hue` and set `legend=False` for the same effect.\n",
            "\n",
            "  sns.barplot(x=category_counts, y=category_counts.index, palette='viridis')\n"
          ]
        },
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 1000x600 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "category_counts = data['CATEGORY'].value_counts()\n",
        "\n",
        "# Plot a horizontal bar chart\n",
        "plt.figure(figsize=(10, 6))\n",
        "sns.barplot(x=category_counts, y=category_counts.index, palette='viridis')\n",
        "plt.title('Distribution of Categories')\n",
        "plt.xlabel('Number of Rides')\n",
        "plt.ylabel('Category')\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "The analysis of ride data indicates a pronounced preference for business-category trips, comprising nearly 99% of the rides, while personal-category rides constitute less than 1%. This underscores a significant reliance on the service for professional purposes. To capitalize on this trend, recommendations include offering tailored business packages, establishing corporate partnerships, emphasizing marketing strategies directed at business users, implementing customized invoicing for efficient expense tracking, and maintaining open communication channels for user feedback. Aligning services with the predominant business usage patterns can enhance the service's appeal to professionals and foster potential corporate collaborations."
      ],
      "metadata": {
        "id": "dI8YcBttsmCN"
      },
      "id": "dI8YcBttsmCN"
    },
    {
      "cell_type": "markdown",
      "source": [
        "## PURPOSE OF THE RIDES"
      ],
      "metadata": {
        "id": "Fv9depiVuld3"
      },
      "id": "Fv9depiVuld3"
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "c2002f44-0496-4cff-9d75-96935b5a2179",
      "metadata": {
        "id": "c2002f44-0496-4cff-9d75-96935b5a2179",
        "outputId": "98a05251-de88-4fa7-8e2d-a34b81b3d948"
      },
      "outputs": [
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "/tmp/ipykernel_732/3364613967.py:6: FutureWarning: \n",
            "\n",
            "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `y` variable to `hue` and set `legend=False` for the same effect.\n",
            "\n",
            "  sns.barplot(x=purpose_counts, y=purpose_counts.index, palette='viridis')\n"
          ]
        },
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 1000x600 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "# Calculate the counts of each purpose\n",
        "purpose_counts = data['PURPOSE'].value_counts()\n",
        "\n",
        "# Plot a horizontal bar chart\n",
        "plt.figure(figsize=(10, 6))\n",
        "sns.barplot(x=purpose_counts, y=purpose_counts.index, palette='viridis')\n",
        "plt.title('Distribution of Rides by Purpose')\n",
        "plt.xlabel('Number of Rides')\n",
        "plt.ylabel('Purpose')\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "The distribution of rides by purpose, as depicted in the above diagram, reveals that the majority of rides serve the purpose of meetings, followed by Meal/Entertain, Errands/Supply, Customer Visit, Temporal Site, Between Offices, Moving, and Airport/Travel. Charity and Commute have the least frequency.\n",
        "\n",
        "The observed distribution of rides by purpose suggests that business-related activities, such as meetings and meal/entertainment engagements, dominate the usage of rides. This insight could influence resource allocation, such as optimizing transportation services during peak meeting hours. Additionally, considering the lower frequency of rides for purposes like charity and commute, there might be an opportunity to encourage and facilitate ridesharing initiatives for these purposes to enhance efficiency and environmental sustainability. Regularly assessing and adjusting service offerings based on the predominant purposes could lead to a more tailored and efficient transportation service.\n"
      ],
      "metadata": {
        "id": "P2e2j5v0uxuK"
      },
      "id": "P2e2j5v0uxuK"
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "b98e2a15-57f4-45a5-b7a1-12362a764f67",
      "metadata": {
        "id": "b98e2a15-57f4-45a5-b7a1-12362a764f67",
        "outputId": "47ff0da0-5384-4189-dc57-054abbe45ea5"
      },
      "outputs": [
        {
          "data": {
            "text/plain": [
              "<Figure size 1000x600 with 0 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        },
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "# Calculate the counts of each category based on 'PURPOSE'\n",
        "category_counts_by_purpose = data.groupby('PURPOSE')['CATEGORY'].value_counts().unstack()\n",
        "\n",
        "# Plot a horizontal bar chart\n",
        "plt.figure(figsize=(10, 6))\n",
        "category_counts_by_purpose.plot(kind='barh', stacked=True, colormap='viridis')\n",
        "plt.title('Distribution of Categories by Purpose')\n",
        "plt.xlabel('Number of Rides')\n",
        "plt.ylabel('Purpose')\n",
        "plt.legend(title='Category', loc='center left', bbox_to_anchor=(1, 0.5))\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "The chart above explores the distribution of ride categories by purpose. It reveals that only the purposes of moving, commute, and charity fall under the personal category, while the rest are categorized as business. This classification provides valuable insights into the nature of trips, indicating a clear separation between personal and business-related purposes.\n",
        "\n",
        "\n",
        "This observation implies a predominant association of the rides with business-related purposes as already explained, as evidenced by the overwhelming majority categorized as such. The limited representation of personal purposes in the provided data suggests a focus on professional activities. To capitalize on this trend, recommendations include optimizing services for business travelers, offering corporate packages, and tailoring marketing efforts towards professionals. Additionally, considering the potential demand for personal rides, exploring strategies to attract and cater to this segment could open up new market opportunities and diversify the user base. Regular feedback collection from users in both categories can provide insights for continuous improvement and customization of services.\n"
      ],
      "metadata": {
        "id": "CsEVflCCxUXy"
      },
      "id": "CsEVflCCxUXy"
    },
    {
      "cell_type": "markdown",
      "source": [
        "## PEAK TIME ANALYSIS"
      ],
      "metadata": {
        "id": "b2FyCjeCzYgo"
      },
      "id": "b2FyCjeCzYgo"
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "4fb9e725-0259-4b97-a44d-8fe60f439c59",
      "metadata": {
        "id": "4fb9e725-0259-4b97-a44d-8fe60f439c59",
        "outputId": "0709a2c8-b827-40e3-be07-f1286a901e8b"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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FFBUVQavVOnsoRKWo1WpoNJoKL3vEQIqIiIiIHKagoABJSUnIzc119lCILPL19UVUVBQ8PT3t3gYDKSIiIiJyCJ1Oh4SEBKjVakRHR8PT07PCd/2JHEkURRQUFODmzZtISEhAo0aNrC66aw0DKSIiIiJyiIKCAuh0OsTExMDX19fZwyEyy8fHBx4eHrh8+TIKCgrg7e1t13bYbIKIiIiIHMreO/xEVcUR+yj3ciIiIiIionJiIEVERERERFRODKSIiIiIiFzUsmXLEBwc7OxhAAB+++03NGzYEGq1Gi+88ILd27HlPc2ZMwdt27a1+3tUBQZSRERERFStTZo0CYIgQBAEeHh4ICIiAv369cM333wDnU5XZeOoV68eFi1aZPTY2LFjceHChSobgzVPP/00Ro8ejatXr+LNN980+5p69eoZfpa+vr5o1aoVvvrqK6PXuNJ7qggGUkRERERU7Q0cOBBJSUlITEzEhg0b0Lt3bzz//PN44IEHUFRUZPd2pcWJ7eXj44Pw8HC7v95RcnJykJqaigEDBiA6OhoBAQEWXztv3jwkJSXh1KlTmDBhAiZPnowNGzYYnneV91RRDKSIqOpptcD27cCPP+r/1WqdPSIiIqokoigit6Coyj9EUSzXOL28vBAZGYlatWqhffv2ePXVV7F27Vps2LABy5YtAwAkJiZCEAQcO3bM8HUZGRkQBAHbt28HAGzfvh2CIGDDhg3o0KEDvLy8sGvXLsTHx2P48OGIiIiAv78/7rnnHmzZssWwnV69euHy5cuYPn26IaMDmC+D++yzzxAbGwtPT080adIE33//vdHzgiDgq6++wsiRI+Hr64tGjRrh999/t/r+b9++jcceeww1atSAr68vBg0ahIsXLxrekxQ43X///Ubv15yAgABERkaiQYMGmDVrFkJCQrB582bD8+be07vvvouIiAgEBATgySefRF5eXqntfvXVV2jWrBm8vb3RtGlTfPrpp4bnCgoKMHXqVERFRcHb2xt169bF/Pnzrb7niuI6UkRUtdasAZ5/Hrh2reSx2rWBjz4CHnzQeeMiIqJKcbdQi+ZvbKry73tm3gD4elbsUvf+++9HmzZtsGbNGjz11FPl+tpXXnkFH3zwARo0aIAaNWrg6tWrGDx4MN5++214eXnhu+++w9ChQ3H+/HnUqVMHa9asQZs2bTBlyhRMnjzZ4nZ//fVXPP/881i0aBH69u2L9evX4/HHH0ft2rXRu3dvw+vmzp2L9957D++//z4+/vhjjB8/HpcvX0ZISIjZ7U6aNAkXL17E77//jsDAQMyaNQuDBw/GmTNn0K1bN5w/fx5NmjTB6tWr0a1bN4vbkdPpdPj1119x+/ZteHp6Wnzdzz//jDlz5mDJkiW499578f3332Px4sVo0KCB4TXLly/HG2+8gU8++QTt2rXD0aNHMXnyZPj5+WHixIlYvHgxfv/9d/z888+oU6cOrl69iqtXr5Y5xopgIEVEVWfNGmD0aMD0LuH16/rHf/mFwRQREbmUpk2b4sSJE+X+unnz5qFfv36Gz0NCQtCmTRvD52+++SZ+/fVX/P7775g6dSpCQkKgVqsN2RxLPvjgA0yaNAn//ve/AQAzZszAvn378MEHHxgFUpMmTcK4ceMAAO+88w4WL16MAwcOYODAgaW2KQVQu3fvRrdu3QDoA5eYmBj89ttveOihhwyleCEhIVbHBwCzZs3Ca6+9hvz8fBQVFSEkJMRqILpo0SI8+eSTePLJJwEAb731FrZs2WKUlfrvf/+LBQsW4MHi64T69evjzJkz+OKLLzBx4kRcuXIFjRo1wr333gtBEFC3bl2rY3QEBlJEVDW0Wn0mqjiISvWrgWwvX8SmX9c/JgjACy8Aw4cDarVzx0pERA7j46HGmXkDnPJ9HUEURUOZXXl07NjR6POcnBzMmTMHf/zxB5KSklBUVIS7d+/iypUr5dru2bNnMWXKFKPHunfvjo8++sjosdatWxv+7+fnh8DAQKSmplrcpkajQefOnQ2PhYaGokmTJjh79my5xgcAL730EiZNmoSkpCS89NJL+Pe//42GDRtafU//+te/jB7r2rUrtm3bBgC4c+cO4uPj8eSTTxpl64qKihAUFARAHzj269cPTZo0wcCBA/HAAw+gf//+5R57eTCQIqKqsXOnUTlfp6n6eu4DnzyK8Du39cHU1av61/Xq5aRBEhGRowmCUOESO2c6e/Ys6tevDwBQqfTtBeTzrwoLC81+nZ+fn9HnL774IjZv3owPPvgADRs2hI+PD0aPHo2CgoJKGbeHh4fR54IgVFkHwpo1a6Jhw4Zo2LAhVq1ahVatWqFjx45o3ry5XdvLyckBAHz55ZdGwR4AqItvvrZv3x4JCQnYsGEDtmzZgjFjxqBv37745ZdfKvZmrGCzCSKqGklJZh++ULOOTa8jIiKqan///TdOnjyJUaNGAQDCwsIAAEmyc5W88YQ1u3fvxqRJkzBy5Ei0atUKkZGRSExMNHqNp6cntGU0YGrWrBl2795datv2BinSNouKirB//37DY2lpaTh//nyFtgsAMTExGDt2LGbPnm31+8u/NwDs27fP8P+IiAhER0fj0qVLhgBN+pCCXAAIDAzE2LFj8eWXX+Knn37C6tWrkZ6eXqHxW6Pc2wNEpCxRUWYfFk3LJSy8joiIqDLl5+cjOTkZWq0WKSkp2LhxI+bPn48HHngAjz32GAB92+4uXbrg3XffRf369ZGamorXXnvNpu03atQIa9aswdChQyEIAl5//fVSGaJ69ephx44dePjhh+Hl5YWaNWuW2s5LL72EMWPGoF27dujbty/WrVuHNWvWGHUALK9GjRph+PDhmDx5Mr744gsEBATglVdeQa1atTB8+HC7tyt5/vnn0bJlSxw6dKhUyaP0/KRJk9CxY0d0794dy5cvx+nTp42aTcydOxfTpk1DUFAQBg4ciPz8fBw6dAi3b9/GjBkzsHDhQkRFRaFdu3ZQqVRYtWoVIiMjK3UxY2akiKhq3HefvjufSeAkovhzQQBiYvSvIyIiqmIbN25EVFQU6tWrh4EDB2Lbtm1YvHgx1q5daygfA4BvvvkGRUVF6NChA1544QW89dZbNm1/4cKFqFGjBrp164ahQ4diwIABaN++vdFr5s2bh8TERMTGxhqyX6ZGjBiBjz76CB988AFatGiBL774AkuXLkWvCpbFL126FB06dMADDzyArl27QhRF/Pnnn6VKBO3RvHlz9O/fH2+88YbZ58eOHYvXX38dL7/8Mjp06IDLly/jmWeeMXrNU089ha+++gpLly5Fq1at0LNnTyxbtsyQkQoICMB7772Hjh074p577kFiYiL+/PNPQzlmZRDE8jbZd6AdO3bg/fffx+HDh5GUlIRff/0VI0aMKBmchYl97733Hl566SUA+sj98uXLRs/Pnz8fr7zyis3jyMrKQlBQEDIzMxEYGFj+N0JEtpG69gGo9/I6AMB3P72OHpeP6Z9n1z4iIkXLy8tDQkIC6tevD29vb2cPh8gia/uqrbGBUzNSd+7cQZs2bbBkyRKzzyclJRl9fPPNNxAEwVCnKpFWT5Y+nnvuuaoYPhGV14MP6oOlWrWMH69dm0EUERERKYpT50gNGjQIgwYNsvi8aY/6tWvXonfv3kb1kgDK7LdPRC7kwQf1Lc7/sxEAIL73HvBgb7Y8JyIiIkVRzByplJQU/PHHH4aFuuTeffddhIaGol27dnj//fdRVFRkdVv5+fnIysoy+iCiKiQLmsTWrRlEERERkeIopmvft99+i4CAAMNqxpJp06ahffv2CAkJwZ49ezB79mwkJSVh4cKFFrc1f/58zJ07t7KHTEQ2cNokTSIiIqIKUEwg9c0332D8+PGlJoPNmDHD8P/WrVvD09MTTz/9NObPnw8vLy+z25o9e7bR12VlZSEmJqZyBk5ERERERG5HEYHUzp07cf78efz0009lvrZz584oKipCYmIimjRpYvY1Xl5eFoMsIqpiTEkRERGRAilijtTXX3+NDh06oE2bNmW+9tixY1CpVAgPD6+CkRFRRYmMpIiIiEiBnJqRysnJQVxcnOHzhIQEHDt2DCEhIahTpw4AfdndqlWrsGDBglJfv3fvXuzfvx+9e/dGQEAA9u7di+nTp2PChAmoUaNGlb0PIrKf81ayIyIiIrKfUwOpQ4cOoXfv3obPpXlLEydOxLJlywAAK1euhCiKGDduXKmv9/LywsqVKzFnzhzk5+ejfv36mD59utH8JyIiIiIiIkdzaiDVq1cviGXcjp4yZQqmTJli9rn27dtj3759lTE0IqoizEgREVF10KtXL7Rt2xaLFi1yyPYSExNRv359HD16FG3btnXINql8FDFHiojcF+MoIiJytkmTJkEQBAiCAE9PTzRs2BDz5s0rc23SyjJnzhzDeCx9xMTEICkpCS1btnTKGImBFBE5WVlZaSIiqoa0WmD7duDHH/X/arWV/i0HDhyIpKQkXLx4ETNnzsScOXPw/vvvV/r3NefFF19EUlKS4aN27dqYN2+e0WNqtRqRkZHQaBTRhNstMZAiIqdiGEVEREbWrAHq1QN69wYeeUT/b716+scrkZeXFyIjI1G3bl0888wz6Nu3L37//XcAQH5+Pl588UXUqlULfn5+6Ny5M7Zv32742rS0NIwbNw61atWCr68vWrVqhR9//NHq9/vjjz8QFBSE5cuXl3rO398fkZGRhg+1Wo2AgACjxxITEyEIAo4dOwYA2L59OwRBwKZNm9CuXTv4+Pjg/vvvR2pqKjZs2IBmzZohMDAQjzzyCHJzcw3fS6fTYf78+ahfvz58fHzQpk0b/PLLL4bnb9++jfHjxyMsLAw+Pj5o1KgRli5dWoGftPtgCEtERERErmHNGmD06NITaK9f1z/+yy/Agw9WyVB8fHyQlpYGAJg6dSrOnDmDlStXIjo6Gr/++isGDhyIkydPolGjRsjLy0OHDh0wa9YsBAYG4o8//sCjjz6K2NhYdOrUqdS2V6xYgX/9619YsWIFHnjgAYeOe86cOfjkk0/g6+uLMWPGYMyYMfDy8sKKFSuQk5ODkSNH4uOPP8asWbMAAPPnz8cPP/yAzz//HI0aNcKOHTswYcIEhIWFoWfPnnj99ddx5swZbNiwATVr1kRcXBzu3r3r0DErFQMpInIqVvYREREAffne88+bPzGIIiAIwAsvAMOHA2p1pQ1DFEVs3boVmzZtwnPPPYcrV65g6dKluHLlCqKjowHoS+82btyIpUuX4p133kGtWrXw4osvGrbx3HPPYdOmTfj5559LBVJLlizBf/7zH6xbtw49e/Z0+PjfeustdO/eHQDw5JNPYvbs2YiPj0eDBg0AAKNHj8a2bdswa9Ys5Ofn45133sGWLVvQtWtXAECDBg2wa9cufPHFF+jZsyeuXLmCdu3aoWPHjgCAevXqOXzMSsVAioiIiIicb+dO4No1y8+LInD1qv51vXo5/NuvX78e/v7+KCwshE6nwyOPPII5c+Zg+/bt0Gq1aNy4sdHr8/PzERoaCgDQarV455138PPPP+P69esoKChAfn4+fH19jb7ml19+QWpqKnbv3o177rnH4e8BAFq3bm34f0REBHx9fQ1BlPTYgQMHAABxcXHIzc1Fv379jLZRUFCAdu3aAQCeeeYZjBo1CkeOHEH//v0xYsQIdOvWrVLGrjQMpIjIyZiSIiIiAElJjn1dOfXu3RufffYZPD09ER0dbWjikJOTA7VajcOHD0Ntkgnz9/cHALz//vv46KOPsGjRIrRq1Qp+fn544YUXUFBQYPT6du3a4ciRI/jmm2/QsWNHCILg8Pfh4eFh+L8gCEafS4/pdDrDewP087Vq1apl9DovLy8AwKBBg3D58mX8+eef2Lx5M/r06YNnn30WH3zwgcPHrjQMpIiIiIjI+aKiHPu6cvLz80PDhg1LPd6uXTtotVqkpqbivvvuM/u1u3fvxvDhwzFhwgQA+gYOFy5cQPPmzY1eFxsbiwULFqBXr15Qq9X45JNPHP9GyqF58+bw8vLClStXrJYZhoWFYeLEiZg4cSLuu+8+vPTSSwykwECKiJyMc6SIiAgAcN99QO3a+sYS5k4OgqB/3kIwU1kaN26M8ePH47HHHsOCBQvQrl073Lx5E1u3bkXr1q0xZMgQNGrUCL/88gv27NmDGjVqYOHChUhJSSkVSEnb27ZtG3r16gWNRuOwBXrtERAQgBdffBHTp0+HTqfDvffei8zMTOzevRuBgYGYOHEi3njjDXTo0AEtWrRAfn4+1q9fj2bNmjltzK6EgRQRORXjKCIiAqBvIPHRR/rufIJgHExJJXCLFlVqowlLli5dirfeegszZ87E9evXUbNmTXTp0sXQce+1117DpUuXMGDAAPj6+mLKlCkYMWIEMjMzzW6vSZMm+Pvvvw2ZqQULFlTl2zHy5ptvIiwsDPPnz8elS5cQHByM9u3b49VXXwUAeHp6Yvbs2UhMTISPjw/uu+8+rFy50mnjdSWCyNUwkZWVhaCgIGRmZiIwMNDZwyGqFuq98gcAYMkj7TGkdeWUaRARUdXKy8tDQkIC6tevD29vb/s2smaNvnufvPFETIw+iKqi1ufk/qztq7bGBsxIEREREZHrePBBfYvznTv1jSWiovTlfE7IRBFZw0CKiJxKZHEfERGZUqsrpcU5kSOpnD0AIqreWFxMRERESsRAioicinEUERERKREDKSJyKva7ISJyPzy2k6tzxD7KQIqIiIiIHMLDwwMAkJub6+SREFkn7aPSPmsPNpsgIiIiIodQq9UIDg5GamoqAMDX1xeCtAYUkQsQRRG5ublITU1FcHAw1BXoBslAioicitUfRETuJTIyEgAMwRSRKwoODjbsq/ZiIEVETsX250RE7kUQBERFRSE8PByFhYXOHg5RKR4eHhXKREkYSBERERGRw6nVaodcrBK5KjabICIiIiIiKicGUkTkVJwjRURERErEQIqInIqBFBERESkRAykiIiIiIqJyYiBFRE7FhBQREREpEQMpInIqkbV9REREpEAMpIjIqRhGERERkRIxkCIi52IkRURERArEQIqIiIiIiKicGEgRkVOJTEkRERGRAjGQIiKnYq8JIiIiUiIGUkTkVIyjiIiISIkYSBEREREREZUTAykiciqW9hEREZESMZAiIiIiIiIqJwZSRORU7NpHRERESsRAioiciqV9REREpEQMpIiIiIiIiMqJgRQRORUTUkRERKREDKSIyLlY20dEREQKxECKiJyKYRQREREpEQMpIqpyIrNQREREpHAMpIjIqRhTERERkRIxkCIip2J2ioiIiJSIgRQRORXDKCIiIlIiBlJEVOWYhCIiIiKlYyBFRE7FoIqIiIiUiIEUETkV4ygiIiJSIqcGUjt27MDQoUMRHR0NQRDw22+/GT0/adIkCIJg9DFw4ECj16Snp2P8+PEIDAxEcHAwnnzySeTk5FThuyCiimCzCSIiIlIipwZSd+7cQZs2bbBkyRKLrxk4cCCSkpIMHz/++KPR8+PHj8fp06exefNmrF+/Hjt27MCUKVMqe+hERERERFSNaZz5zQcNGoRBgwZZfY2XlxciIyPNPnf27Fls3LgRBw8eRMeOHQEAH3/8MQYPHowPPvgA0dHRDh8zEVUcc1BERESkdC4/R2r79u0IDw9HkyZN8MwzzyAtLc3w3N69exEcHGwIogCgb9++UKlU2L9/v8Vt5ufnIysry+iDiIiIiIjIVi4dSA0cOBDfffcdtm7div/973/4559/MGjQIGi1WgBAcnIywsPDjb5Go9EgJCQEycnJFrc7f/58BAUFGT5iYmIq9X0QkWWcIkVERERK5NTSvrI8/PDDhv+3atUKrVu3RmxsLLZv344+ffrYvd3Zs2djxowZhs+zsrIYTBE5ichCPyIiIlIgl85ImWrQoAFq1qyJuLg4AEBkZCRSU1ONXlNUVIT09HSL86oA/byrwMBAow8iqjrs1EdERERKp6hA6tq1a0hLS0NUVBQAoGvXrsjIyMDhw4cNr/n777+h0+nQuXNnZw2TiMqBMRUREREpkVNL+3JycgzZJQBISEjAsWPHEBISgpCQEMydOxejRo1CZGQk4uPj8fLLL6Nhw4YYMGAAAKBZs2YYOHAgJk+ejM8//xyFhYWYOnUqHn74YXbsI1IIxlFERESkRE7NSB06dAjt2rVDu3btAAAzZsxAu3bt8MYbb0CtVuPEiRMYNmwYGjdujCeffBIdOnTAzp074eXlZdjG8uXL0bRpU/Tp0weDBw/Gvffei//7v/9z1lsionJiRoqIiIiUyKkZqV69elmdK7Fp06YytxESEoIVK1Y4clhEVMkYOxEREZHSKWqOFBG5H3btIyIiIiViIEVEVW7HhZuG/7O0j4iIiJSIgRQRVbknvz3k7CEQERERVQgDKSJyKq4pRURERErEQIqIiIiIiKicGEgRERERERGVEwMpInIqVvYRERGREjGQIiKnYhxFRERESsRAioiIiIiIqJwYSBGRU+lY20dEREQKxECKiJxKp2MgRURERMrDQIqInKqIgRQREREpEAMpInIqLUv7iIiISIEYSBGRU7G0j4iIiJSIgRQRORVL+4iIiEiJGEgRkVNpGUgRERGRAjGQIiKnYiBFRERESsRAioicioEUERERKREDKSJyKgZSREREpEQMpIjIqdj+nIiIiJSIgRQRORUzUkRERKREDKSIyKkYSBEREZESMZAiIqfSsbSPiIiIFIiBFBE5VZGWgRQREREpDwMpInIqZqSIiIhIiRhIEZFTFTIjRURERArEQIqInIoZKSIiIlIiBlJE5FSFWp2zh0BERERUbgykiMip2GyCiIiIlIiBFBE5VSHXkSIiIiIFYiBFRE5VxNI+IiIiUiAGUkTkVCztIyIiIiViIEVETlWoY0aKiIiIlIeBFBE5FTNSREREpEQMpIjIqbRsNkFEREQKxECKiJyK60gRERGREjGQIiKnKmJGioiIiBSIgRQRORUzUkRERKREDKSIyKnYbIKIiIiUiIEUETlVEdufExERkQIxkCIipypkRoqIiIgUiIEUERERERFROTGQIiKn07FzHxERESkMAykicrpCzpMiIiIihWEgRUROx859REREpDQMpIjI6RhIERERkdIwkCIip2NpHxERESkNAykicrpCLQMpIiIiUhanBlI7duzA0KFDER0dDUEQ8NtvvxmeKywsxKxZs9CqVSv4+fkhOjoajz32GG7cuGG0jXr16kEQBKOPd999t4rfCRFVBEv7iIiISGmcGkjduXMHbdq0wZIlS0o9l5ubiyNHjuD111/HkSNHsGbNGpw/fx7Dhg0r9dp58+YhKSnJ8PHcc89VxfCJyEGYkSIiIiKl0Tjzmw8aNAiDBg0y+1xQUBA2b95s9Ngnn3yCTp064cqVK6hTp47h8YCAAERGRlbqWImo8hRxHSkiIiJSGEXNkcrMzIQgCAgODjZ6/N1330VoaCjatWuH999/H0VFRVa3k5+fj6ysLKMPInIeZqSIiIhIaZyakSqPvLw8zJo1C+PGjUNgYKDh8WnTpqF9+/YICQnBnj17MHv2bCQlJWHhwoUWtzV//nzMnTu3KoZNRDbgHCkiIiJSGkUEUoWFhRgzZgxEUcRnn31m9NyMGTMM/2/dujU8PT3x9NNPY/78+fDy8jK7vdmzZxt9XVZWFmJiYipn8ERUpiK2PyciIiKFcflASgqiLl++jL///tsoG2VO586dUVRUhMTERDRp0sTsa7y8vCwGWURU9QqZkSIiIiKFcelASgqiLl68iG3btiE0NLTMrzl27BhUKhXCw8OrYIRE5AicI0VERERK49RAKicnB3FxcYbPExIScOzYMYSEhCAqKgqjR4/GkSNHsH79emi1WiQnJwMAQkJC4Onpib1792L//v3o3bs3AgICsHfvXkyfPh0TJkxAjRo1nPW2iKicOEeKiIiIlMapgdShQ4fQu3dvw+fSvKWJEydizpw5+P333wEAbdu2Nfq6bdu2oVevXvDy8sLKlSsxZ84c5Ofno379+pg+fbrR/Ccicn3MSBEREZHSODWQ6tWrF0TR8p1oa88BQPv27bFv3z5HD4uIqhjXkSIiIiKlUdQ6UkTknpiRIiIiIqVhIEVEVcpcpplzpIiIiEhpGEgRUZUyV7HLdaSIiIhIaRhIEVGV0pmJpAqYkSIiIiKFYSBFRFXKXF+JIs6RIiIiIoVhIEVEVcpcRopzpIiIiEhpGEgRkdMVco4UERERKQwDKSKqUsxIERERkTtgIEVEVYpzpIiIiMgdMJAioiplLiNVaC66IiIiInJhDKSIqEqJZpJPzEgRERGR0jCQIqIqZTYjxTlSREREpDAMpIioSpkPpJiRIiIiImXR2PNFCQkJ2LlzJy5fvozc3FyEhYWhXbt26Nq1K7y9vR09RiJyI+abTTAjRURERMpSrkBq+fLl+Oijj3Do0CFEREQgOjoaPj4+SE9PR3x8PLy9vTF+/HjMmjULdevWrawxE5GCiWabTTAjRURERMpicyDVrl07eHp6YtKkSVi9ejViYmKMns/Pz8fevXuxcuVKdOzYEZ9++ikeeughhw+YiJTNXO6JGSkiIiJSGpsDqXfffRcDBgyw+LyXlxd69eqFXr164e2330ZiYqIjxkdEbsbsgrzMSBEREZHC2BxIWQuiTIWGhiI0NNSuARGRezM3R4pd+4iIiEhp7Orad+TIEZw8edLw+dq1azFixAi8+uqrKCgocNjgiMj96MxEUlxHioiIiJTGrkDq6aefxoULFwAAly5dwsMPPwxfX1+sWrUKL7/8skMHSETuxUxlHzNSREREpDh2BVIXLlxA27ZtAQCrVq1Cjx49sGLFCixbtgyrV6925PiIyM1wHSkiIiJyB3YFUqIoQlc8OXzLli0YPHgwACAmJga3bt1y3OiIyO2YbzbBjBQREREpi12BVMeOHfHWW2/h+++/xz///IMhQ4YA0C/UGxER4dABEpF7Mb8gLzNSREREpCx2BVKLFi3CkSNHMHXqVPznP/9Bw4YNAQC//PILunXr5tABEpF7MbsgL+dIERERkcLY3P5crnXr1kZd+yTvv/8+1Gp1hQdFRO7L7IK8XEeKiIiIFMaujBQAZGRk4KuvvsLs2bORnp4OADhz5gxSU1MdNjgicj9m50gxI0VEREQKY1dG6sSJE+jTpw+Cg4ORmJiIyZMnIyQkBGvWrMGVK1fw3XffOXqcROQmzCWfCjhHioiIiBTGrozUjBkz8Pjjj+PixYvw9vY2PD548GDs2LHDYYMjIvfDjBQRERG5A7sCqYMHD+Lpp58u9XitWrWQnJxc4UERkfsytyAv50gRERGR0tgVSHl5eSErK6vU4xcuXEBYWFiFB0VE7sv8grzMSBEREZGy2BVIDRs2DPPmzUNhYSEAQBAEXLlyBbNmzcKoUaMcOkAici/mS/uYkSIiIiJlsSuQWrBgAXJychAeHo67d++iZ8+eaNiwIQICAvD22287eoxE5EbMLchbaO5BIiIiIhdmV9e+oKAgbN68Gbt378bx48eRk5OD9u3bo2/fvo4eHxG5GXML8jIjRUREREpjVyD13XffYezYsejevTu6d+9ueLygoAArV67EY4895rABEpF7MZd70omAVidCrRKqfDxERERE9rCrtO/xxx9HZmZmqcezs7Px+OOPV3hQROS+dBbK+AqZlSIiIiIFsSuQEkURglD6zvG1a9cQFBRU4UERkfuyNB2qiPOkiIiISEHKVdrXrl07CIIAQRDQp08faDQlX67VapGQkICBAwc6fJBE5D7MzZECOE+KiIiIlKVcgdSIESMAAMeOHcOAAQPg7+9veM7T0xP16tVj+3MisspS4olrSREREZGSlCuQ+u9//wsAqFevHsaOHQtvb+9KGRQRuS/TdaQ0KgFFOhFFOmakiIiISDns6to3ceJER4+DiKqJUoGUujiQYkaKiIiIFMSuQEqlUpltNiHRarV2D4iI3JvpFCkPtQp5hTp27SMiIiJFsSuQWrNmjVEgVVhYiKNHj+Lbb7/F3LlzHTY4InI/phkpD7W+eSi79hEREZGS2BVISU0n5EaPHo0WLVrgp59+wpNPPlnRcRGRmzLNSGmKF+EtKGJGioiIiJTDrnWkLOnSpQu2bt3qyE0SkZthRoqIiIjcgcMCqbt372Lx4sWoVauWozZJRG7INF7SqPUZKa4jRUREREpiV2lfjRo1jOZIiaKI7Oxs+Pr64ocffnDY4IjI/ZguyCuV9nEdKSIiIlISuwKpRYsWGX2uUqkQFhaGzp07o0aNGo4YFxG5KdOMVElpHzNSREREpBxcR4qIqpS5daQAcB0pIiIiUhS7AikAyMjIwIEDB5CamgqdyZ3kxx57rMIDIyL3ZKnZBNeRIiIiIiWxq9nEunXrUKdOHQwcOBBTp07F888/b/h44YUXbN7Ojh07MHToUERHR0MQBPz2229Gz4uiiDfeeANRUVHw8fFB3759cfHiRaPXpKenY/z48QgMDERwcDCefPJJ5OTk2PO2iKgKlFqQVyUFUsxIERERkXLYFUjNnDkTTzzxBHJycpCRkYHbt28bPtLT023ezp07d9CmTRssWbLE7PPvvfceFi9ejM8//xz79++Hn58fBgwYgLy8PMNrxo8fj9OnT2Pz5s1Yv349duzYgSlTptjztoioClgs7eMcKSIiIlIQu0r7rl+/jmnTpsHX17dC33zQoEEYNGiQ2edEUcSiRYvw2muvYfjw4QCA7777DhEREfjtt9/w8MMP4+zZs9i4cSMOHjyIjh07AgA+/vhjDB48GB988AGio6MrND4icrxSC/KqmZEiIiIi5bErIzVgwAAcOnTI0WMxkpCQgOTkZPTt29fwWFBQEDp37oy9e/cCAPbu3Yvg4GBDEAUAffv2hUqlwv79+y1uOz8/H1lZWUYfRFQ1Ss2RUnEdKSIiIlIeuzJSQ4YMwUsvvYQzZ86gVatW8PDwMHp+2LBhFR5YcnIyACAiIsLo8YiICMNzycnJCA8PN3peo9EgJCTE8Bpz5s+fj7lz51Z4jERUfqUzUsXrSJn2RSciIiJyYXYFUpMnTwYAzJs3r9RzgiBAq9VWbFSVbPbs2ZgxY4bh86ysLMTExDhxRETVR+k5UsXrSDEjRURERApiVyBl2u68MkRGRgIAUlJSEBUVZXg8JSUFbdu2NbwmNTXV6OuKioqQnp5u+HpzvLy84OXl5fhBE1GZTBNPnoZAihkpIiIiUg675khVhfr16yMyMhJbt241PJaVlYX9+/eja9euAICuXbsiIyMDhw8fNrzm77//hk6nQ+fOnat8zERUtlIZKZVU2seMFBERESmHzRmpxYsXY8qUKfD29sbixYutvnbatGk2bTMnJwdxcXGGzxMSEnDs2DGEhISgTp06eOGFF/DWW2+hUaNGqF+/Pl5//XVER0djxIgRAIBmzZph4MCBmDx5Mj7//HMUFhZi6tSpePjhh9mxj8hFiRZK+wqLmJEiIiIi5bA5kPrwww8xfvx4eHt748MPP7T4OkEQbA6kDh06hN69exs+l+YtTZw4EcuWLcPLL7+MO3fuYMqUKcjIyMC9996LjRs3wtvb2/A1y5cvx9SpU9GnTx+oVCqMGjWqzECPiJzHtLTPg+tIERERkQLZHEglJCSY/X9F9OrVq9TdaTlBEDBv3jyzTS0kISEhWLFihUPGQ0SVr3RpH9eRIiIiIuVx2TlSROSeTO+dGDJS7NpHRERECmJX1z5RFPHLL79g27ZtSE1NLdXFb82aNQ4ZHBG5n9Ltz6XSPmakiIiISDnsCqReeOEFfPHFF+jduzciIiIgCIKjx0VEbqrUgryG0j5mpIiIiEg57Aqkvv/+e6xZswaDBw929HiIyM2ZZqQ8NVxHioiIiJTHrjlSQUFBaNCggaPHQkTVgGkFH9eRIiIiIiWyK5CaM2cO5s6di7t37zp6PETk5krPkWLXPiIiIlIeu0r7xowZgx9//BHh4eGoV68ePDw8jJ4/cuSIQwZHRO7HdMkDdu0jIiIiJbIrkJo4cSIOHz6MCRMmsNkEEZVL6dI+ZqSIiIhIeewKpP744w9s2rQJ9957r6PHQ0RuznL7c2akiIiISDnsmiMVExODwMBAR4+FiKoBywvyMiNFREREymFXILVgwQK8/PLLSExMdPBwiMjdlZ4jxXWkiIiISHnsKu2bMGECcnNzERsbC19f31LNJtLT0x0yOCJyP5bmSBWZPkFERETkwuwKpBYtWuTgYRBRdWE6R4pd+4iIiEiJ7O7aR0Rkj1IZqeLSvgLOkSIiIiIFsXmO1J07d8q14fK+noiqh1JzpFTMSBEREZHy2BxINWzYEO+++y6SkpIsvkYURWzevBmDBg3C4sWLHTJAInIvpdufc44UERERKY/NpX3bt2/Hq6++ijlz5qBNmzbo2LEjoqOj4e3tjdu3b+PMmTPYu3cvNBoNZs+ejaeffroyx01EClW6tE+fkWLXPiIiIlISmwOpJk2aYPXq1bhy5QpWrVqFnTt3Ys+ePbh79y5q1qyJdu3a4csvv8SgQYOgVqsrc8xEpGClmk1IXfs4R4qIiIgUpNzNJurUqYOZM2di5syZlTEeInJzpRbk1RTPkdIxI0VERETKYdeCvERE9jJtNiGtI1XIjBQREREpCAMpIqpSpnOkPDhHioiIiBSIgRQRVSmLXfuYkSIiIiIFYSBFRFWqVEaqeB2pQs6RIiIiIgVhIEVEVarUHKnijJQoAlquJUVEREQKUe6ufZKMjAwcOHAAqamp0JncSX7ssccqPDAick+lS/sEw/8LtTqoVVw+gYiIiFyfXYHUunXrMH78eOTk5CAwMBCCUHIhJAgCAykissg06eSpLkmMFzEjRURERAphV2nfzJkz8cQTTyAnJwcZGRm4ffu24SM9Pd3RYyQiN1IqI6UquRFTxM59REREpBB2BVLXr1/HtGnT4Ovr6+jxEJGbM12QV62Sl/YxI0VERETKYFcgNWDAABw6dMjRYyGiasC02YQgCFxLioiIiBTHrjlSQ4YMwUsvvYQzZ86gVatW8PDwMHp+2LBhDhkcEbkfc9OgNCoVCrVariVFREREimFXIDV58mQAwLx580o9JwgCtFptxUZFRG7LdI4UUNy5r5BrSREREZFy2BVImbY7JyKylZk4Ch7FnfuYkSIiIiKl4IK8RFSlzGakVJwjRURERMpidyD1zz//YOjQoWjYsCEaNmyIYcOGYefOnY4cGxG5IXOBlCEjxXWkiIiISCHsCqR++OEH9O3bF76+vpg2bRqmTZsGHx8f9OnTBytWrHD0GInIjZiLlaSufVxHioiIiJTCrjlSb7/9Nt577z1Mnz7d8Ni0adOwcOFCvPnmm3jkkUccNkAici+m7c8BQFOckeI6UkRERKQUdmWkLl26hKFDh5Z6fNiwYUhISKjwoIjIfZlvf845UkRERKQsdgVSMTEx2Lp1a6nHt2zZgpiYmAoPiojcl7mMVMkcKQZSREREpAx2lfbNnDkT06ZNw7Fjx9CtWzcAwO7du7Fs2TJ89NFHDh0gEbkXsxkptZSRYmkfERERKYNdgdQzzzyDyMhILFiwAD///DMAoFmzZvjpp58wfPhwhw6QiNyL2a59Kq4jRURERMpiVyAFACNHjsTIkSMdORYiqgbMLsirKe7ax9I+IiIiUgguyEtEVcr8grzs2kdERETKYnNGKiQkBBcuXEDNmjVRo0YNCIJg8bXp6ekOGRwRuR/zC/JyHSkiIiJSFpsDqQ8//BABAQGG/1sLpIiILDHf/lzKSDGQIiIiImWwOZCaOHGi4f+TJk2qjLEQUTVgfkFedu0jIiIiZbFrjpRarUZqamqpx9PS0qBWqys8KCJyX+YyUlxHioiIiJTGrkDK3B1lAMjPz4enp2eFBkRE7s1sRkrFjBQREREpS7nany9evBgAIAgCvvrqK/j7+xue02q12LFjB5o2berYERKRWzG/IC/XkSIiIiJlKVcg9eGHHwLQ31H+/PPPjcr4PD09Ua9ePXz++eeOHSERuRVzGSlPNdeRIiIiImUpV2lfQkICEhIS0LNnTxw/ftzweUJCAs6fP49Nmzahc+fODh1gvXr1IAhCqY9nn30WANCrV69Sz/3rX/9y6BiIyHGsZaRY2kdERERKUa6MlGTbtm2OHodFBw8ehFarNXx+6tQp9OvXDw899JDhscmTJ2PevHmGz319fatsfERUPmYX5OU6UkRERKQwdgVSAHDt2jX8/vvvuHLlCgoKCoyeW7hwYYUHJgkLCzP6/N1330VsbCx69uxpeMzX1xeRkZEO+55EVHnMdu3jOlJERESkMHYFUlu3bsWwYcPQoEEDnDt3Di1btkRiYiJEUUT79u0dPUaDgoIC/PDDD5gxY4bRgsDLly/HDz/8gMjISAwdOhSvv/661axUfn4+8vPzDZ9nZWVV2piJyJjVdaTMRVlERERELsiu9uezZ8/Giy++iJMnT8Lb2xurV6/G1atX0bNnT6OSO0f77bffkJGRYbQg8COPPIIffvgB27Ztw+zZs/H9999jwoQJVrczf/58BAUFGT5iYmIqbcxEZMxcaZ9hHSlmpIiIiEgh7MpInT17Fj/++KN+AxoN7t69C39/f8ybNw/Dhw/HM88849BBSr7++msMGjQI0dHRhsemTJli+H+rVq0QFRWFPn36ID4+HrGxsWa3M3v2bMyYMcPweVZWFoMpoipittmESpojxYwUERERKYNdGSk/Pz/DvKioqCjEx8cbnrt165ZjRmbi8uXL2LJlC5566imrr5O6BsbFxVl8jZeXFwIDA40+iKhqmCvtkzJSLO0jIiIipbArI9WlSxfs2rULzZo1w+DBgzFz5kycPHkSa9asQZcuXRw9RgDA0qVLER4ejiFDhlh93bFjxwDoAzwicj1m4ih4sGsfERERKYxdgdTChQuRk5MDAJg7dy5ycnLw008/oVGjRg7t2CfR6XRYunQpJk6cCI2mZMjx8fFYsWIFBg8ejNDQUJw4cQLTp09Hjx490Lp1a4ePg4gqznz7c64jRURERMpS7kBKq9Xi2rVrhkDFz88Pn3/+ucMHJrdlyxZcuXIFTzzxhNHjnp6e2LJlCxYtWoQ7d+4gJiYGo0aNwmuvvVap4yEi+1mdI6VjRoqIiIiUodyBlFqtRv/+/XH27FkEBwdXwpBK69+/v9l5FTExMfjnn3+qZAxE5BjWuvZxHSkiIiJSCruaTbRs2RKXLl1y9FiIqBqQ4qjO9UPw4dg2AGTrSLG0j4iIiBTCrkDqrbfewosvvoj169cjKSkJWVlZRh9ERJZIGanXhjTHyHa1AQAaFdeRIiIiImWxq9nE4MGDAQDDhg2DIAiGx0VRhCAI0Gq1jhkdEbkdKZCSHTpKuvax/TkREREphF2B1LZt2xw9DiKqJqRYSSWLpDzYtY+IiIgUxq5AqmfPno4eBxFVE9IcKZWssFjDdaSIiIhIYewKpHbs2GH1+R49etg1GCJyf1IHTgGlM1Is7SNLirQ63M4tRFiAl7OHQkREBMDOQKpXr16lHpPPleIcKSKyRJojpZLNkZLWkSooYkaKzHvhp2PYcCoZW2f0RL2afs4eDhERkX1d+27fvm30kZqaio0bN+Kee+7BX3/95egxEpEbkZJOgpk5UlyQlyy5kJINrU5EYtodZw+FiIgIgJ0ZqaCgoFKP9evXD56enpgxYwYOHz5c4YERkXsym5EyzJFiaR+ZJ2UruYcQEZGrsCsjZUlERATOnz/vyE0SkZsRzXTtk9aRKmSzCbLAUPbJSIqIiFyEXRmpEydOGH0uiiKSkpLw7rvvom3bto4YF1lxJ78I28/fRM8mYfD3sutXSOQ0JRmpkkDKk80mqAwFxUG2tP8QEbkTURSx9WwqmkQGICbE19nDIRvZdRXetm1bCIJg6L4l6dKlC7755huHDIwse/mXE/jjZBL6NY/Al491dPZwiMrF3IK8LO2jsuRLpX3cRYjIDW0/fxNPfXcIAJD47hAnj4ZsZVcglZCQYPS5SqVCWFgYvL29HTIosu6Pk0kAgM1nUpw8EqLyMyzIK5skJQVShWw2QRbkc44UEbmxg4npzh4C2cGuQKpu3bqOHgcRVRdS1z7ZQx7Fc6REEdDqRKjlnSio2hNFsaTZBFNSROSGNDzvKVK5AymdTodly5ZhzZo1SExMhCAIqF+/PkaPHo1HH33UqKUxEZEpc3OkpIwUoG84oVapq3xc5LoKZSWfnEZHRO5IxUBKkcrVtU8URQwbNgxPPfUUrl+/jlatWqFFixa4fPkyJk2ahJEjR1bWOInITZhrfy6tIwWwcx+VVmC0TzCSIiL3w4yUMpUrI7Vs2TLs2LEDW7duRe/evY2e+/vvvzFixAh89913eOyxxxw6SCJyH+YW5JWfQNhwgkwZWp+DzSaIyD0xI6VM5cpI/fjjj3j11VdLBVEAcP/99+OVV17B8uXLHTY4InIv8vkt8nOGfE4UG06QKaNAyonjICKqLMxIKVO5AqkTJ05g4MCBFp8fNGgQjh8/XuFBEZF7ks9vkc+REgShZC0pZqTIhDyQ4jpSROSO1KpyXZKTiyjXby09PR0REREWn4+IiMDt27crPCgick86o4yU8d03riVFluQXaQ3/ZxxFRO5I1nOJ3UkVpFyBlFarhUZjeVqVWq1GUVFRhQdFtmGDRFIaeSAlmBx9pLIGlvaRqXyW9hGRm1MbNV3ikU4pytVsQhRFTJo0CV5eXmafz8/Pd8igyDZqRlKkMKKF0j6gpHMfM1JkSt61j3dqicgdya/pCrU6eGpY6qcE5QqkJk6cWOZr2LGv6rDDCymN/BrYdO+VSvvY/pxMsWsfEbk7ebMJngeVo1yB1NKlSytrHGQHdnghpbE6R6p4oi1PIGTKuGsfIykicm8FPA8qBvOGCsbSPlIaozlSJruvh9RsQscLZTLGjBQRKVleobbMsmT5+ZFzpJSDgZSCsbSPlMZS+3OgZI4UM1JkSn53lnE2ESlJwq07aPr6Rsz82fryQPJjW2ERz4NKwUBKwdQMpEhhLC3ICwAaNpsgC4zbn3P/ICLl+GZXAgBgzdHrVl+nNcpIMZBSCgZSCsZAipTGekZKKu3jCYSMFbD9OREplIfatktt+U0izpFSDgZSCsY5UqQ01uZIGdaRYkaKTBjPkeL+QUTK4aGx7VpNq+McKSViIKVgzEiR0kiBlCAAgmnXPpb2kQX5bDZBRArlaWNGymiOFDNSisFASsFU/O2RwkgXwaZlfUBJaR9PIGTKaEFeJ46DiKi8NDZerOnkGSk2m1AMXoormK1/nESuQgqkzOVSuY4UWcL250SkVLaW9uk4R0qReCWuYLZW9uUVajHsk12Y+fNxXqSSU0knCmsZKa4jRabkgZSOkRQRKYh9pX08zimFxtkDIPvZOkfqQko2TlzLxIlrmSjU6vDh2LacX0VOIZ8jZcrDMEeKwT4ZY9c+IlIqjY3XWzq2P1ckZqQUTG1Had/vx2/gjbWn2PmKnMLaHCmNYUFe7psE/HTwCnZdvAXAuNkEa/uISEk8NHbMkWIgpRgMpBTMxmyxgYdagCAAy/dfwXubzlfOoIisKCntK/2ch4rrSJHeyWuZmLX6JCZ8vR8AM1JEpFzydaSs3cSWL8hbwGYTisFASsHKu45UeIA35o9sBQD4bHs8Pt0eVxnDIrJIZzUjxXWkSO96Rq7R5/KJ1zrOoSMiBZHm/wLWz2+cI6VMDKQUTGXHPKeHO9XBfwY3AwC8t/E8fth32dHDIrLI2hypktI+3omr7kxv2jIjRURKJc9IWTu/sbRPmRhIKVh5M1KSyT0a4Ln7GwIAXl97CmuPXXfksIgsksoazN0EMJT28U5ctWe6B3BBXiJSKvlSNdbOb2w2oUwMpBSsIp33ZvRrjIld60IUgRk/H8eWMykOHBmRedZL+4ozUpwjRSaMSvsYSRGRgsiv1aytDyUv7eM6UsrBQErBKhJICYKA/w5tgQfb1YJWJ+LfK45gb3yaA0dHVJq1BXlL2p/zQrm6K13ap3XOQIiIKkh+vrNa2ifPSBXxPKgUDKQUrKJrQalUAt4b3Rr9m0egoEiHp749iONXMxwzOCIzSuZIWVmQl3fiqj3RpLiPpX1E5A44RwrIyivEX6eTke8mN8gYSCmYIxbV1ahVWDyuHbo3DMWdAi0mLj2ACynZDhgdUWnW2p9LdeSF7MpW7VlvNsH9g4iUyVo3Pm01mSP11LeHMOX7w3hvo3ssw8NASsHsbTZhyttDjf97tCPaxgQjI7cQE77ajytpuWV/IVE5WV+Qlxkp0jO91JAHUoyziUiprAVIYjWZI3UgIR0A8NPBq04eiWMwkFIY+WJu9rQ/t8TPS4Nlj9+DppEBSM3Ox/iv9yElK89h2ycCyliQV82ufWSe/KKCpX1EpFTWAiltNSntk7hLsMhASmHkf2gaBwZSABDs64nvnuyEuqG+uJp+FxO+2o/bdwoc+j2oepN2X3NzpKTSPnc5uJL9RJNoiaV9ROQOrC/IW72aTbhLsMhASmGKdJWTkZKEB3jjhyc7IzLQGxdTczBx6QFk5xU6/PtQ9WTISJk58jAjRZYUsNkEEbkB6137bHudu3CXYzkDKYWR37Fw1BwpUzEhvvjhqU4I8fPEiWuZeOrbQ8grdI/uKuRchgV5rawjVcR1pKo9q80m3OXsS0TVjq1d+1iZoRwuHUjNmTMHgiAYfTRt2tTwfF5eHp599lmEhobC398fo0aNQkqKey8sK89I2dq1z57rjobhAfjuiU4I8NJgf0I6nl1+pFrcIaHKZSjtM/OctI6UtdIHqp7Y/pyI3IG1igtdNena525cOpACgBYtWiApKcnwsWvXLsNz06dPx7p167Bq1Sr8888/uHHjBh588EEnjrbyye9YmLur70gtawXh60n3wEujwtZzqZj583GjOVpE5WWta5+htI8ZqWpPPg9KFEXjZhPOGBARkQNYyzQZtz/nkU4pNM4eQFk0Gg0iIyNLPZ6ZmYmvv/4aK1aswP333w8AWLp0KZo1a4Z9+/ahS5cuVT3UKmGckar879epfgg+f7QDJn97CL8fv4EAbw3eGtHSbLMAorKULMhb+jnDOlI8gVR78lja9MJDx5QUESmUre3PmZFSDpfPSF28eBHR0dFo0KABxo8fjytXrgAADh8+jMLCQvTt29fw2qZNm6JOnTrYu3ev1W3m5+cjKyvL6EMp5BkhwWyBlOP1bhKORQ+3hSAAy/dfwXub3GMRNap6OqtzpLiOFJUmnx8FsLSPiJTLWmmf/PrO9LhHrsulA6nOnTtj2bJl2LhxIz777DMkJCTgvvvuQ3Z2NpKTk+Hp6Yng4GCjr4mIiEBycrLV7c6fPx9BQUGGj5iYmEp8F44l/0OryjbAD7SOxjsjWwEAPtsej0+3x1XZ9yb3YVtpH6+Uqzv5HlAqkKraoRARVYjR8cxq1z7OkVIily7tGzRokOH/rVu3RufOnVG3bl38/PPP8PHxsXu7s2fPxowZMwyfZ2VlKSaYcuYcpXGd6iA7rxDv/HkO7208j0BvD0zoUtdp4yHlsaW0j3fiSN6Zr9SFB1NSRKRQtpf28TinFC6dkTIVHByMxo0bIy4uDpGRkSgoKEBGRobRa1JSUszOqZLz8vJCYGCg0YdSOPtu/ZQesZjauyEA4PW1p7D22HWnjoeURWclI6VhRoqKWctIcfcgIqUqtHKjUH6j3J0zUlL1ibtQVCCVk5OD+Ph4REVFoUOHDvDw8MDWrVsNz58/fx5XrlxB165dnTjKymVU2uekC4qZ/Rvjsa51IYrAjJ+PY8sZ9245T45jbUFeT2kdKTc+gVD55Zcq7WMkRUTKZO1Goc5aJt6NeFRFp7Qq5NLv5sUXX8Q///yDxMRE7NmzByNHjoRarca4ceMQFBSEJ598EjNmzMC2bdtw+PBhPP744+jatavbduwDnFvaJxEEAXOGtsDIdrWg1Yn494oj2Buf5uxhkQLEpeQAMN8oRcN1pEgi2wXYbIKI3AXnSLlfIOXSc6SuXbuGcePGIS0tDWFhYbj33nuxb98+hIWFAQA+/PBDqFQqjBo1Cvn5+RgwYAA+/fRTJ4+6crlCIAUAKpWA90e3Rk5+ETafScFT3x7Eisld0CYm2NlDIxfm5aE/gMal5pR6TqPiOlKkJ886mWakXOQQSERUboVFlg9g8puI1l6ndAykqtDKlSutPu/t7Y0lS5ZgyZIlVTQi5zPu2udcGrUKH49rhyeWHcSe+DRMXHoAPz/dFY0jApw8MnJ1vZuGlXrMw1Da5+w9m5xNtJaRcvqRj4jIPtZuFMqzUO6ckfLkHClyJle7W+/tocb/PdYRbWOCkZFbiAlf7ceVtFxnD4sUSGo24c4nELKN1XbBjKOISKGslfbJbxq59RwpjXuFHu71bqoBeQ2tq8wV8PfSYNnj96BJRABSs/Mx/ut9SMnKc/awyAVZ22c9VJwjRaVxHSkichfWS/uqR0bK3Ur73OvdVAOuWvYU7OuJ75/shLqhvriafhcTvtqP23cKnD0sclHmm01wjhTpWSvt03GSFBEplLXzm3w+qDvfUJTmQ7sLBlIK4yrNJswJD/TGD092RmSgNy6m5mDi0gPIzit09rBIIUpK+0SjBVmp+pHPgyrQak2eIyJSJmuZJvlzWp3o0td7FeHJ0j5yJq28tM8FLyliQnzxw1OdUMPXAyeuZeKpbw8hr1Bb9hdStecpS/e76wmEbCOPo/ML2f6ciNxDgZXSPtN5Ue5a3sfSPnIqa4u5WVLV1x0NwwPw3ROd4e+lwf6EdDy7/IjbHhCofKxlmjSyg6s9+zm5J9OLCx0jKSJSKGvXQqZlzO563SQv7XOHUm0GUgqjVUjdbKvaQfh6Ykd4aVTYei4VM38+ziwDlTBTIi0/uLrrCYRsY9S1r4j7AhEpl/wGovX256LVz92FvLTPHboTMpBSGHlpnwtW9hnp3CAUn0/oAI1KwO/Hb+CNtac494Uskqf7XbWpClUR2XHCdEFeHkOISKmslvZVk4yU/FzvDu+RgZTC2JrVybxbWOqCQ3BCo5TeTcPx4di2EARg+f4reG/T+aofBCmCWiUY9tFCdu6r1qxlpBhGEZFSWS3tM3nOXbPx8uoTd3iPDKQUxpZA6vDldLSZ+xem/3Ss8gdkg6FtovHOyFYAgM+2x+PT7XFOHhE5S1l7L9eSIsCk/TnnSBGRm7BU2ieKYrXJSMlv6rvDuZ6BlMLIAylLu99n2+MBAL8du1EFI7LNuE518OrgpgCA9zaexw/7Ljt5RORMlpKjhrWk3PQEQuVXKiOl/PMuEVVTlhbklQcUHrKlQNydOwSLDKQUxpZuZoIzavhsMKVHLKb2bggAeH3tKaw9dr1Sv9+7G85h8daLlfo9yLGk2mlzJ5CFmy/gA5aGVgui0Rwp/fIJ0mHN/S8tiMhdWWquIA8ofD01pR5zJ0bLW7C0j6qavFWkpUnXrrxo9Mz+jfFY17oQRWDGz8ex5UxKpXyftJx8fP5PPD7ccoHdAhVEuhNnWv6QX6TF4q0X8cm2OKTfKXDG0KgKmZsj5a1R65/jnzMRKZSl0j555t3fSx9IuUNHu7K4Q7DIQEphbMlIqVw0IwXos2VzhrbAyHa1oNWJ+PeKI9gbn+bw75NxtxCA/qKLXb5cR1m/Ck3xHCnTrn3yc09yZp6jh0UuxmiOVPEFhpeHqvg5/j0TuaO8Qi22nU81ZKHdkeXSPv1xTiWUHOsK3SBbY478J8BAiqqc1oZuZq4cSAGASiXg/dGt0a95BAqKdHjq24M4fjXDod8jO6/Iodsjx7JUfqox1IZb3s9TshlIVSfSXVkvjRRIOXM0RFRZfjxwBY8vPYipK4667Q0TS+c2qcTNU6OCp5USd3fDrn1U5WxpNuHicRQAQKNW4eNx7dAtNhR3CrSYuPQALqRkO2z7WcUZKYBzKpREmiNlmnkVZb/F1CwGUu7ObGmfR3FpH/+iidzS5bRcAMDmMyn45fA1J4+mclha2kO6YeShVsnmCis/yDDHWldWJWIgpTBKL+2T8/ZQ4/8e64i2McHIyC3ExG8OOOzuhJIyUlfTc9Ft/lZ8tfOSs4fidNL6ElYzUln5VTUcchLRzIK80hwpTnkkck/y8/bcdWdwNT3XiaOpHFfT72LsF3uN5rsDJec8L43KMFfYHYIM80reuztk3RhIKYwta6i4crMJU/5eGix7/B54e6iQlJmHq7cdc+DMzpNlpFz87/R/G8/hRmYe3vrjrLOHUumkX4Xl9ufmSxrkv8MUZqSqldJzpJw5GiKqLDn5+vO2h1pATn4RXlx1vFTA4Q72J6TjikmQKB3nPKtBRkqOpX1U5YqMuvaZf41SMlKSYF9P+EhlOw66SsqSBVKkHB42rCPFQMr9mWuPa5gjxdI+IrckZaSeu78RfD3V2J+Qjm92Jzh5VJXDNNskBU0eGhU8Ne4dSMmP7+7wHhlIKYzWhjSoq64jZY0U/Dnq5pO8RMDVL7ykgyZZXkdK/hlL+9yf/G/WkJEqLu1z8T9nIrKTdN5uWSsQrw1pDgB4b9N5h86fdgZzhyzTTEy+uYyUhQ5/7oSBFFU5rSyUt/QnpqTSPolgCKQclJG6q5zSPi8GUgbSHCnTtTbkmUpmpNyfucnI3sWlfY46RhCRa8nJ1wdS/l4eGNcpBr2ahKGgSIfpPx1zixIwOdOFaKWbh/pmE+49R0p+BOeCvFTlbFlc1rS0TwltRKXgz4bu7jZRUrMJ6e5TdSDti5aSpoaufVYyr7dy8q2W/pF7kdaUkTJSrn80IyJ7SHObA7w1EAQB741qjWBfD5y+kYWP/77o5NE5Vm6B8TVKgaz9eXWaI+UO77H6XMG5CZu69inwt6pydEZKQXOkPKtRIFUWS+tIyfcKnQik3SmowlFRVTPX/pzNJojcm3QDNMBbAwAID/TG2yNaAQCWbIvDkSu3nTY2R8stMF50WN5swtPNAyn5zX13WHSYV3AKozNqNmH+isLSHClXnjolZaQcdZGUpaCMFOdIldCozK8jZao6l/fFpeZg3P/tw974NGcPpdKYazYhrSPF0j4i91NQpDP8rQd4eRgeH9I6CsPbRkMnAjN/Po67JgGIUkkZqfkbzmLWLydQoNW/L+OMlHsc6347eh2Pfr0fGbmlb4C6Q/kir+AUxrZ1pKpgIA7m6DlSRs0mXPxYxECqhIeljJTJ7zA5s/oGUptOJ2PvpTT8etQ9F6wEjJtN5Beadu0jIncjX7LEvzgjJZk3rCUiA72RcOsO5m9wj2VCpIzUF/9cwk+HruLU9SwAxYGUpniOlBtkawDghZ+OYefFW1i4+QIA42O4OwSLvIJTGHvmSCmBVI5YGc0mXF11miMlKe86UqZSsqtv5z7p5OouJ1lzjDNSxnOkGEkRuR+p0YSfpxpqk7vBQb4eeP+h1gCA7/Zexo4LN6t8fI6Wm2+cWZNuDnqoBbedI3Urp/R5+8yNLCeMxLGq3xWcwskDKctd+xQYSDm8/bmsa5+LX3nJu/YpoTFIZbK4jpTJjyW1Gpf2SSdXd7iTZwvpmMB1pIjcl1RFYpqNktzXKAyPda0LAHj5lxPIzFXOzVJzTOdI3Sy+OeipUbvtHKmC4nbu8sucP04mOWk0jsNASmFsKe1TYBxlCKQcEUjodCKy85VZ2ucO9cIV4WFhjpTpxXN1niMl/Wyq275imCNVvd42UbWQZejY52HxNbMHNUODmn5IzsrDG7+fqqqhVQrTrn03i7M1xhkpF794KSd3CwwlDKQURlfO0j6lZDikIdtSuliWOwVFLh88yclL+9y5XMsWlrr2marOi/JWj9K+0n/AzEgRua8ck4595vh4qrFgTBuoVQLWHruB9SduVNXwHM5SRspL1mzC3W6WSetDutsRnIGUwhjdqXejvdGRpX2mHftc/cfkWY0CKen62FJnSUvrSJleV1fvjJRU2ue++4q5GyFS5lZJN0mIyDaG0j4vy4EUALSrUwPP9ooFALz22ynFlnnfMclISXPEPNQlzSbcoTW4XKGhtM+9DuIMpBRGa0Ndi3wfVcr+WtL+vOIDzjZZQ2reutPYf8l1W0XLYwp3uwNVXpriHaGwjP28OgdS0snInQMpU55qlWECukIOaURUDlIgEWiltE8y9f5GaFkrEBm5hXh59QlFXphbauPuzutIuev1DQMphdEaJaTMHzyUWPriyIxUtklG6udD1zD2//ZVfMNVwN0zUmXRWMpImbzudm6hoZtbdSMFmQVuVj8vZ/rOPDUqQ6dHJV40EZF10g3QsjJSgP548OGYtvDUqLD9/E2sOHClsofncHcsBVJuuI6UxN0CQwkDKYUpd0aqEsfiSOVZR+pCSnaprJOcklqfm6ougZSlfiiW15Eq2S+ku3Wp1XSelHRydbeyDznTw4CnRmXI3DKOInI/2TbMkZJrFBGAlwc0AQC8tf4sEm/dqbSxVZS5Y9aBhDSzc8I91G48R8rNAkMJAymFcdsdUWo2UcZV0uHL6ej/4Q4MXrzT4mtMM1KSj7dedPk7IvlufHEMlJ0t1ajKvhMXHugFAEjNrp7lfUXaajBHymQ/8VSrDDdb3PMISFS9SZ12rXXtM/VE9/ro0iAEdwu1mLnquEOaVVWVvEIdFm4+X+pxfUbKtqZLSiO9H3e7GcZASmHkGRtLO6No9Bpl7LG2tmz/7ai+S8/V9LsWX5NlIVu1YPMFDP14F05cyyjv8CqV/FfkbnegykuaZGu6jpR8L44M9AYAJGdW14xUNQikzGWkiv/vqEW7ich1lLWOlDkqlYAPHmoDfy8NDl++jS92xFfW8CrFkm2lx+upVhka67jbMd5dr28YSCmMLetIudNlxvubzuGRL/cZDijWSvokljJSNXw9cC45GyOW7MY7f561ONnTmapLaZ8lltaRkosoDqSqa8MJaW6Uu9XPW+OlkWWkqs/bJqo2sg3rSNkeSAFA7Rq++O/Q5gCADzdfwJkbWQ4fW1UymiNV5F4HO0NGSnaVGuLn6azhOAwDKYWxJXVtlLWCsgOrJdvisSc+DVvOpACwHCTJWZojtWVGTwxvGw2dCPzfjksY+NEO7Im/5dDxVlS1CaQsZCAtrSMlv3g2BFLVvLTPXe/uAWU0m6jqwRBRpZPWkQosZyAFAKM71Ea/5hEo1IqY8fMxRTciqm5zpJRSNWUNAymFkQdSlkv7zP/flQnSZZKF8UoHFKmO2hrTdaQkof5e+OjhdvhmUkdEBXnjclouHvlyP15ZfQKZTmxQIX/L7h5IlbU/WuraJxchzZGqts0m3L+0z3RH8dSoUJysdIsTLxEZK1lHyvY5UhJBEDD/wVYI9fPEueRsLNx8wdHDqzLuPEeqwMwcKQVNa7OIgZTCVKS0T7DYK831SWU9tmSkyir/u79pBP6a3gMTutQBAKw8eBX9Fv6DTaeTKz7QCnK3O1Dl5VHcdaRIZzpHSr9XCwJL+6pF1z6Tzz3VKsPxi3EUkfvJyS9f1z5TNf29MP/BVgD0FScHEtIdNraqZNz+3L2O8ebejzvcGGMgpTA6WwIpG9aaUhopBLRljpSljJRcgLcH3hrRCj9N6YIGNf2Qmp2Pp78/jGeXH8HNbOdlOtw9I1UWjaX1M2SfSl37qm8gJWWklPm3nVtQZHTyzCvUlrnfG7U/d5NjGhGVyLJzjpRc/xaReKhDbYgiMHPVMUNwpiSeasFwrHOHbI2cdM5S4hI91jCQUhh5RsryBYXydk1bL5IckZGS69wgFH8+fx/+3SsWapWAP04moe/Cf7Dq0FWn3CmpLoGUpexoWSUNAuQZqepZ2ieVPRZodYq7m3ftdi6av7EJk5YeBKAPonp/sB2jPttj9DrTt8VmE0TuS6cTDUFPebr2mfPG0OaoFeyDq+l38fYfZxwxvCqlnw8qHevc62AnTU0xus5zg7fIQEphbGk2ocQ5UrayKSNVzvlO3h5qvDywKdY+2x0tawUi824hXvrlBB775gCupufaO1SbyQ+W+W6WyjdV1u7oYWGOlPSZIAiGQConv0iRdxwrSh5k2lLq60pWH74OAPjnwk0AQMKtO0jKzMPpG5lGrzMtcWX7cyL3lVuoNVyrBJZjHSlzArw98MFDbSAIwI8HrmLr2RQHjLDqeKjl2Xf35w7HcwZSClPeZhPuojypbluyVua0rBWE3/7dHa8MagovjQo7L95C/w934JtdCVW20N/rv53Cgr9KL9JnzqnrmXjux6O4klb5wV5V0RTPkSrUWQ4o/b008PfS37VMrYblffKfjavX0OfkF2H6T8ewubjrpul6cdKNChHA9Yy7mPbjURy/moHcAuO/YS+NuuTiwg2Pb0TVmXSDVKMS4KWp+GVp19hQPNm9PgBg1uqTSL9TUOFtVhX9fNBibnCsi0vNLvUYS/vIqWzKSCl417R0kVSeRhn2BlKAfo7Ov3rGYuMLPdC5vn7F9Hnrz2DUZ3twIaX0AaEyfPx3nE2vG/35Hqw7fgOTvztUySOqOhYzUsWfSntByTyp6lfeJ19bxNXXGfl2TyJ+PXrdsI+a/hVfu61fWFsUged/PIrfj9/A8CW7kZtv3L7YqNlEpY+aiKqSdM4O8NYYSngr6sUBTdAo3B+3cvLxn19PKqZMzkNexuzksTjC8v1XrD6vkF+LVQykFMa0m5k5Cqv2AWBxWSEjtgSRhVod7hZWfA2J+jX98OPkLnh7ZEsEeGlw7GoGhizeiUVbLjh8HpO9v668Qv04zldRgOdIls6VltaRMhURoC/vS60ma0ndvlOAvfFpEEXR6Bjg6l0eb+WUBLr5RdrSGanbJdnU+Js5hv+b/g17alRQuelCUjqdiH2X0pBw646zh0LkFCWBVMXK+uS8PdT4cGxbaFQCNpxKxm/Hrjts2/ZqXTsIv/yrq9XXeMpL+9wgykjKMD5H63Qi9ss6Kir5xr+EgZTC6MqZEnWDv0MA+gtv+dwnHw+12ddVJBtlSqUSML5zXfw1owf6NgtHoVbEoi0XMfTjXTh65bbDvk91UuY6UsWLBZnO/ZG3PwdK1pJKzqwegdTgxTsx7st92HQ62SiQd+XSvr9OJ2PDyZIlBeJSc0rdbZYyUqZyC0oHUiXlvW5yUCu29VwqHv6/fej9wXb0//AfLPjrPE5dz3SLiygiW0ilfVLJtqO0rBWE5/s0AgC8sfY0bmSYP95UPv3fsqdahY71Qqy+0svNFh9PMbnZufrINaPPlXjj3xQDKYWxJSOl5Pbn1q4dMmSBlMpCRkMKtvw8zQda9ogK8sGXj3XEx+PaIdTPE+dTsvHgZ3vw5vozpeZyUMVIXfuKTAKEktI+/fPVrXNfUnHA+M+FW0Ztz10xkErKvIsp3x3ClO8PI1k2h+1sUrbFOVKA8UXDXTOBFNy0tE/+M7iQkoOP/47DAx/vwr3/24Y5v5/G3vi0Un8PRO6komtIWfNMr1i0jQlGdl4RXvrluE1LyFQW6fj34+QuFl9j1GzCDQ52qSbn6I2nTNbrdIP3yEBKYWyIoxQXPAGwXOtVbN66M8iUBVJaC0eYyigRAPTd4oa2icaWGT3xYLtaEEXg610JGLBoB3ZdvOXQ71UdWPptW1xHyoQhkKoGpX3yzERkoLfRzRRXCqS0OhHLdieg38Id+OtMCjQqAf/uFYtxnWIAAGeTsozmOoqiiOuyjJT8Aie30PgGhbuVu8hJv8N+zSPw4dg2GNgiEj4ealzPuItlexIx7st9uOftLXhp1XFsPpOCPAeULhO5kso6bwP6c8rCMW3g7aHC7rg0fLc30eHfo7y6xoaiRXSg2eeMbxop+1in04ml1nv0Nck6Kv09AgykFEd+EWXpekJnQ2c/pUnOykNGbknnHUs3laRF/QJ9NGXFZnap4eeJhWPbYtnj9xjWqpjw9X68tOo4MnPL13bdwE1+R45g6NpnmpGS/mMo7SueI1UNuvbJ5wsF+WiMgswCF2k2cfpGJh78bA/mrDuDnPwitK8TjPXT7sXLA5uibUwwgOJASvY3mXm3ENmy9vVlZaRUbjQBW04qY63h64GR7Wrj80c74Mjr/fB/j3bAqPa1Eezrgdu5hVh1+Bomf3cI7d/cjGd+OIzfjl43urlEpFTZDliM15oGYf54dXAzAMD8DecQl5pTxldUPktljO6UkUrPLShVpm9aLaT09wi4eCA1f/583HPPPQgICEB4eDhGjBiB8+eNW0P36tULgiAYffzrX/9y0ogrn00NF2Sv+XLnJbe5gyu/aLCUni85IHuUo89f+fVqEo5N03tgUrd6EARg1eFr6LPwH2w4meTw76XVifjin3gcvpxe9otdXFl3nzw15udImYpw065928+nlrpjaq25ibMzUrkFRXjnz7MY9sluHL+agQAvDd4a0RK//Ksbmkbq77g2i9L/q89IlSg1P0r2KzcNpLyM1pECfjt6HX+ccPzfWmWLv5mDj7deNFr/TPodSh0rAcDHU43+LSKxYEwbHPpPX6yY3BmTutVDdJA3cgu02HAqGS/8dAwd3tyMR7/ej+/3XS5155dIKXLyKq+0TzKhc13c16gm8ot0mPHzMacfOy29V/maeUq/dDM3h9nHJJByhzmvlbfXOsA///yDZ599Fvfccw+Kiorw6quvon///jhz5gz8/PwMr5s8eTLmzZtn+NzX19cZw60StgRS8nr6RVsuGrq7uTJbJlfaUtqXVXxADqzEA7LE30uDOcNaYGibKLz8ywnE37yDZ5YfwYAWEXhzeEuEF2dNKurY1duYv+EcmkcF4s/n7zM87qlRObyDoLNZzEgV/76l/aRkjlQeRFF0WMtcZ/vPr6dwPeMu2tQORpviTE6+UXMJ4/3emRcD286n4vXfThkCoiGtovDfoc1L7feNIwKgEoDbuYW4mV0S+Joudi1/Z7mFZgKp4l9xRm4BXvjpGACgb/OB8NI4bj5kZeuz4B8AQFJWHt4Z2QpASat/eSAlp1Gr0C22JrrF1sR/hzbHyeuZ+Ot0CjadTsbF1BzsvHgLOy/ewuu/nUK7OsEY0CIS/ZtHoEGYf9W8KaIKyqqCQEqlEvDe6NYY8OEOnLiWiU+3xeP5vo0q7fuVxVIZo76M2T3OZ+a66vp5mpb2KZ9LB1IbN240+nzZsmUIDw/H4cOH0aNHD8Pjvr6+iIyMrOrhOYXxnXrzu6DpGjzuUv4kL50TRZi9gJaaTQR4e+ifq4K7HR3qhuDP5+/Dkr/j8On2eGw6nYI98Wl4bUgzjOkYU+ZBsawsTU7xmjo3Mu/iVk4+/L008PZQw0ut3EDK0o+kzHWkir8uLECfkcov0iHzbiGCfT0rZZxVTZr/sj8hrSSQkt0IMZ0f44z256nZeZi37gzWF2eEagX74M0RLXB/0wizr/f2UKNBmD/iUnNwLrmkVb9pRkqeOTfXtU8q7ZM/l1+kc6lASqcTcT3jLiKDvC0GRgBw5HJJ109pgWWNpQ46MoIgoHXtYLSuHYwXBzTBpZs52FQcVB27moGjV/Qf7244h0bh/hjQIhIDWkSiZa1At7k4I/cjzZHy93L8HCm5qCAfvDmiJZ5feQyL/76I3k3D0Lp2sEO2nZyZh/AAL6hs+DsGLJf2GWeklB1mJGeWrhjx9jA+Lir8LQJw8dI+U5mZmQCAkBDj9pHLly9HzZo10bJlS8yePRu5ubnmvtwgPz8fWVlZRh9KUd7SPgBuc5GZYTIfwNyPQjogB/pU7T0CL40aM/o3wbrn7kXr2kHIzivCrNUnMf6r/bicVrH1YaQyxozcQnR6ewsmLT2g/54eivrztYm0jlRZ3Sm9PdQI9tWfdN2pvE/apQ/I1tnILyoJHPKKjAOMsppyOJJOJ2LF/ivou+AfrD+RBJUATL6vPv6a3sNiECWRyvvkgZR8DSnA+LaQ6Q0CT43KkI5UywKCQiffSBBFEXGpOfh+byKe+eEw2r+1Gfe9tw3//f10GV9X8n9pUWWNlcDLkgZh/nimVyx+e7Y79s3ugzdHtMR9jWpCoxJwMTUHn2yLw9BPdqH7u39jzu+nsSf+FjsAksvJya/cOVJyw9pEY0jrKGh1Iqb/dMwhzVt2XLiJLvO34r1N58t+cTFL71WtEkrmSFV4ZM5lrtzY3HFO6QGjS2ek5HQ6HV544QV0794dLVu2NDz+yCOPoG7duoiOjsaJEycwa9YsnD9/HmvWrLG4rfnz52Pu3LlVMWyH09rQSML0RFnVQYU9bOnIlZFrGkiJUJvMhMqqojlSljSLCsSaZ7ph6e5ELNh8Hnvi0zBg0Q7M7NcET9xbH2ob71bJyX/nOhE4lHgbhVrjO/E6nWjznTBnsnUdqUKtaDbjKO/6FhnojYzcQqRk5aFJZIDDx+pMBxNvG36n8tI+0zLdqgokLqRk49U1J3GoOJPSqlYQ5j/YCi1rBdn09c2iArDuuPECvZbWkDLHU62WzZEq2YnynRBIXc+4i91xt7A3Pg174m+ZDeR3Xrxp8/akmwae6or9/UYGeePRLnXxaJe6yMwtxN/nU7DpVAr+uXATNzLzsGxPIpbtSUQNXw/0aRaB/s0j0KNxGLwtrMlHVFWyq6C0TyIIAt4a3hIHEtIRf/MO/rfxHP47tEWFtnkmSX8z/kg51pf0t/JepfOcwuMLs6V95o5yolhm42aX5vpX2MWeffZZnDp1Crt27TJ6fMqUKYb/t2rVClFRUejTpw/i4+MRGxtrdluzZ8/GjBkzDJ9nZWUhJiamcgbuYLbNkTJ+jfRHqeQdFUCpDlVanQjTawD5AdlZ71ejVmFyjwbo3yICr6w+ib2X0vD2n2ex/sQN/G90a8MkfFv9fvyG0edFOhGX0+4YGjMA+s5ufg5ezNAZPGQXk1qdaMhQmRMe6I1zydluOck+824hLqRmo2lkoFGwcLfQNCNVuYFEXqEWn/wdhy92xKNQK8LPU42Z/ZtgYrd65bop0MzMPl9qjpSVQ5t+QV7995MfA6sikLqVk28ImvbEp+FymvG4PTUqdKxbA91iQ9GyVhAmLT2Iq+l38e2eRIzqUBsvrDyKIa2jMLJdbcPXyMt5payiPRkpS4KKOwCObFcbeYVa7Lx4C5tOJ2Pr2RTczi3EL4ev4ZfD1+DjoUbPxmEY0DIC9zeJQJBv5ZZWEZlTmetImVPDzxPvjW6Nx5cexNLdiejXLALdGta0e3vStUl5FvwNsHK+LslIKTuSMtdswtx0BGW/S4UEUlOnTsX69euxY8cO1K5d2+prO3fuDACIi4uzGEh5eXnBy8vL4eOsCmV1MwNKau4lSv9jlGTeLTD63NyFlzRHKrAS1qMor7qhflgxuTN+PnQVb/1xFsevZeKBxbvwTK9YTL2/oSGjVNZdJ9NACgDiUnOMLmTv5BcpKpASLOQL5ReThVoRUtLNdI4UAEQUz5NKzXaj0j7ZznAwIb04kCoJnqQbBZLKnCO1O+4W/vPrSSQWBw59m0Vg3vAWiA72Kfe2pNI+OdOMlLXuTfo5Uvr/FxkFUo5fUykrrxD7L6XrA6e4NJxPyTZ6Xq0S0Lp2ELrH1kS32FC0r1vDbFbnv7+fRlpOPracTcWWs6nGgZTsrUoVBNZuGlSEt4ca/ZpHoF/zCBRpdTiYeBubTifjr9PJuJGZh42nk7HxdDI0KgFdGoRiQIsI9GseicggxzTLISpLZa4jZUnvJuF4pHMdrNh/BS+uOo6N03vYfd0gXXekZOVBqxNtuslUle/VWcxl682ds/TnPeXe6XfpKy9RFPHcc8/h119/xfbt21G/fv0yv+bYsWMAgKioqEoeXdUzbflt6bLD0kR9V1bern2WGGWkIJSxxconCALG3lMHvZqE4421p7DpdAo+/jsOG04lY+GYNnZPdI1LzTHaH3LyixDuoDE7kzwjVajTwQeWy46kzn3m7nq5g/0J6Xi0az2jrEtajvGJqTLmSKXl5OPtP85izdHrAPSt5ucOa4mBLe1v6BMR6IUaxeshSUyza9beiZdGZTiuGWWkHNCR9G6BFocup2NPfBr2xKfh5LWMUvMvm0UFoltsKLo3DMU99UJsvgi6mVN2kG9of66q/DmPGrUKXWND0TU2FP8d2hynrmfpg6ozybiQkoNdcbewK+4WXl97Gm1jgtG/RQQGtIhELDsAUiWSli2x1IChsvxncDPsjruFy2m5mPP7aSwc09au7UjXJoVaEbdy8g3nJmusvVd3WUfKXLUIM1JV7Nlnn8WKFSuwdu1aBAQEIDk5GQAQFBQEHx8fxMfHY8WKFRg8eDBCQ0Nx4sQJTJ8+HT169EDr1q2dPHrHsyUbBVhuHa10pnOkzMnOlxbkda27PRGB3vji0Y7YcDIJr689jbjUHDy/8hi2vdjLru3FpeYYZR5Nu5wplfxiUn5DQMqqyu9Zlawl5T6BlPwv9UBCOkRRNDrx3CoVSDkuIyWKIn45fA3v/HkWt3MLIQjAY13q4sUBTSp891QQBDSLCsSe+DSjx4N9PUr+rsso7dPq9Pu4vBGJPaV9hVodjl/NwO44fbne0SsZpe6S1q/ph26xoegWWxNdY0MR4md7wx4PtWAIcE1vaknkj0rNgTwqKSNliSAIaFU7CK1qB+HFAU2QcOsONp1OxqbTyTh6JQPHruo/3tt4Hg3D/TGgOKhqVSuIHQDJoapyjpScn5cGCx5qgzFf7MWaI9fRv3kEBrYs/034LFmlwPWMuzYFUtbeq2GOVLlH4joKinRIu1NQ6nFzx2ylryXl0oHUZ599BkC/6K7c0qVLMWnSJHh6emLLli1YtGgR7ty5g5iYGIwaNQqvvfaaE0Zb+Wzd2UwDLmXvoiVu55qU9pl5Z1l3ZetIueC5flCrKMSE+OKBj3cZygHM/X7Kah4RdzPH6CJNvsCnkqlUAlSCvqmGvGlKSWlfyc9EWq8opbi0TykNN2yVmp2PK+m5RieeWznGfwOOCqTib+bgP7+exL5L+m6BTSMDMP/BVmhXp4ZDtg/AbCAVU8MXGbn6bqzWSpA91SrkCfpASlvO0j6tTsTZpCzsib+F3XFpOJiYXurGQ2SgN7o1DEX34sDJnvJFyfdPdsbD/7cPgG03v0pK+5zbhbN+TT/8q2cs/tUzFilZedh8Rt9WfW98GuJScxCXmoMl2+IRFeSN/s31QVWn+iFOHzcpW0GRznCMc0a5W8d6IXi6Zyw+2x6PV389hfZ1ayA8oHxlrfJqmaSMPKCO8fPmLt2sNptwg4yUuUYTgPlASsnvE3DxQKqsTEpMTAz++eefKhqN85UKkCz8fEy79ikh2pcukK0N1ZYyJqlEINDbw2XXWJJW9rZ2Edx23l+Y1qcRnrqvgdnn41PvwM+rpOztjsICKWs3tDXF62OZtvE3FVkcSKVm5SE7rxADPtyB7g1r4v2H2jhyqFVK2v+lMrj9CelG9wPSTe7wVXQfzy/S4vPtl7BkWxwKtDp4e6gwvW9jPHFvfavrINnD3DypmBAfnLxeHEhZ+XV7aVSGu7RFZZT2iaKI+Js5+lK9uDTsvZRWqiw4xM8TXRvoS9y6N6yJeqG+DsuyyMvgLP1+5MfukgV5XecmQESgNyZ0qYsJXeoi824htp1LxabTydh+/iaSMvPw7d7L+HbvZQT7eqBP0wj0bxGBHo3CDMc2IltJ52yg6kv7JC/0bYRt51JxLlnfnfTLxzqW63iQJTu+WGs4IZ8bHGBlzaySb+36126WWFqWRLr5dV+jmth58VZVDqnSuHQgRca0Ns6HMA04FBBHOYQoirIV0l2rtE9OKl+zdrc6K68Ib/1x1mIgdbdQazTH5I5CSvtsKTP1UAkogElGqvhf49K+4kAqOx9rjlzHjcw8rDp8TdGBlOSeeiH460wKDiakGxbmNacic6QOJKRj9poTiL+pX+esZ+MwvDWiJWJCfO3epjVNzbSol38va+9E37Wv+HWyF0p3N6/dzsWeuJLOeqYNSPy9NOhcPwRdi8v1mkYGVFr2Un6DI9vCDQ5zpX2aKpgjZY8gHw+MaFcLI9rVQl6hFruKOwBuKe4AuPrINaw+cg3eHip9B8AWkbi/abjbrF9IlUuqpvDzVNu1PIgjeGnU+HBsWwz/ZDe2nE3FqkPXMOYe2zs5ywOp6zZ27rOptE/B126WSu6lm0sqWaCqhJv91jCQUhCtyc5msdmEzjQjVUkDcgIfD7UhgDD927tbqDWU/bjy2lmGRWcd2ChAaRkpa/SlQtoyg4Sa/p4QBH3pluncISUQRRFLtsWhXk0/PNA62ui5TvX1gdSBxHSzmRyJPaV9GbkFmP/nOfx06CoAoKa/F/47tDkeaB1VqXNfGkWUblgQU6MkkCqra5+5kb31xxn8b+M5XEk335K8e0N9qV7rWkFVVoLmLVvfbceFsteTktYCq6yufY7k7aFG3+YR6CvrAPjXmWT8dToF1zPuYtPpFGw6nQK1SkDXBqF47YFm5V7ugaoXZ3TsM6dZVCBm9G+Mdzecw9x1p9E1NtSmm0qiKBqX9mXaFkjZVNpn05ac7/N/9CW/w9vWMjxWdiBV8pjC4ygGUkpiGiBZYrrWlBLan5u7hDAtUQT0k9PvZprPvkjzo9QqAT4uvMikdMEkNYtwxEHEnQIpqcRJvr8bMlmyHUWjVqGmvxduZufjRobyGk4cv5aJD/66AACGQEp6nx3rhUAQgMtpuaWCBLnyBFKiKOL34zfw5vozhrlW4zrVwSsDm1bJ+kFeGjUahvsjLjXH8Jit2S9PtcpsBimpuGOjWiWgTe0gdIutiW4NQ9G+jvmW5FXBpkyXvP25YUFe18xIWSLvAPjGA81x+kZxB8DTKTifko1dcbfwxNKDWD/tvnI166DqJUvq2FfFjSbMmXxfA2w9m4KDibcx8+fj+HFKlzKzZHcLtUbVJbaeizzUKnh7qEotsg7IuhgrIMI4cS0D7244BwAmgZT5m5tSYx95Rsr136V1zt9zyWa2LMYLmCn3UdReWjLY9NzSHV+CfDwMF0+mpFpr/WK8rnt3VyrtE0X979QRge6dfGWU9kmszpEq/vmYCw5NvywiUB9I2XoX0JXI35/pOmAB3ho0jwrE6RtZ2BVnuY7c1nWkrqTl4j+/nTTUpDcK98c7D7bCPfVC7By9fVpEBxoFUnXkpX3W5kh5qC32jgn29cDOl3s7/Y52eWTlFeLa7Vx4e6grZUHeqiYIAlrWCkLLWkGY2b8JLt3MwZPfHkLCrTt44adjWDbpHrdqBEOOk+Okjn3mqFUCFjzUFgM/2oEDien4etclTOlhfj1Sien8y/Isyuvv5YG8wtIBh5IyUtdvm3+/UkZK3sUUKJnXKr9GU0LAaI1yj9zVUKlMk5l9z7RdMqDc+tO0nNKB1LnkksUxTd+VND9KWlSvbmjlzPWoKHkJT6FW55iMVIEyMlK2vNfk4gPwqM/24vBlfRc5S18WUdxdyVJw7crkl5XSnB75XDApyJEHHqYKi6z/QAu1Ony2PR79F/2DnRdvwVOjwov9G+OPafdVeRAFAM1NyhSjbFz01VOtshh8e6pVigqiAH33xV7vb0fHt7Ygr7hUWQmlfbZqEOaPzya0h7eHCjsu3MTHf8c5e0jkoqTSPmc1mjBVJ9QXrz/QHADwwaYLOJ+cbfX1UiDlqdFfTqfdKTD8TZfFcvConDlSluZnS4GUaQfEkoxUyWNKn37CQEpBbMlI3copKL3QpQJ2UnMXSeWd95Ily0gBgNpFs1LySeVFOscUXrpL+3NToz/fi3f+PGs4MZlmGiOKL8Sv3bZc/uaq5Ccgc/XkneuXHehYK+07cuU2hn68C//beA55hTp0iw3Fphd6YOr9jQwn/ao2sl1J6YeHWrC5M6C+3NP837OL/pmXSSoHkm4OVcWCvFWpaWQg3hrRCgCwaOsF7LxY9nwxqn6kc1egC90MefieGNzfNBwFWh2m/3TMandUaUpBrWAf+BZ3rbT1xp6lQKqksY7rX7zlWriJK90QldZ7lJhrNqGI1JsV7nXkdnO2rElyMUV/Uq4X6mu4EFNStL/+RBJGLNmNq+m5ZjNS1mSbZKRcNRMnv/Os1Yp2RbqmF4+5igukbLv6FUXg/3ZcwrBPdpt9XspIyUsHylNa4UzyE5BplzlBENDRhoyRuUAqK68Qr/92CqM+24Nzydmo4euBBQ+1wfKnOqN+Tb+KD7wCwmULVUYF+di81JsgCLBUGaZSaiRlwpXanzvK6A61Ma5TDEQReH7lMUWW4JJj6XQiEm7dwfoTN/DexnP48cAVAK5R2icRBAHvjmqFGr4eOJOUhY+2XrD4WikjFejjYciw23oOspSFk44EuQVavL/pHHZevGkxYHE2S9MKUovnSEWaVB0YAilZ9KGEefzWuM6eS2XS2bDQ7vniQKpRRIBhzpCSdtL1J5IAAP/beA5tzbR9fmVQU8PERtO7NVILUumA7KpZGo3sirBQp7Prt1Mr2AfXZLXJOQqbI2WL+jX98PoDzfDv5UcME3JNr5lN73YBwIAPd+CNoc0xukNtl54rJz8BGdrnynaGsAAvNAjzw6Xi9uTmFGiNG3JsOJWMOb+fNgRmozvUxquDm7nkZP8afp7lyiZZ+l26SyCl5DlS1vx3aAucuJaJ0zey8OzyI/jp6a4OX6OMXFN+kRYXU3Jw5kYWTt/Q7wNnk7LMloOZWx7BmcIDvPHOyFZ4ZvkRfLY9Hvc3jUCHuqUXKJeO3UE+Hgj01iD+5p0Kt0APC/CCv5cGOflFWLItHku2xUOjEtAmJhhdG4SiS4NQdKhbwyXWbTMX4OXkFxmuv0xL+6R1pIznSFXiAKsAAykFsSUjdSFFP5+icYQ/jlzOAKCMnVQwuTctAobOYpIDr/ZBoI+HIZA6eT0TaTkFGNpG3/HMkJHy0WekpJS7qxEEARqVgCKdaHcL9Ibh/kaBlKverZIzbRNbFgHA/U0jEB7gbehcl5Fr/PURgaXn2GTnF+GlX05g0+lkvPNgq3KvUl9VbPmddaoXYjWQkjJx1zPu4o3fTmHruVQA+iD07ZEt0S22pmMGW0nKE+haeqVS4qjl+y9bfd4dM1KAvmX6p+Pb44GPd+HIFX2HL2kOCrmPrLxCnL2RhdM3snAmSf9vXGq22WUsvDQqNI0MQPPoILSIDkTr2kFoVSvICaO2blCrKIxsVwu/Hr2OmT8fw5/P3wdfT+PLZkNGyltjyDAl2di5z9/CorwB3h74e2ZPbL9wE/supWFffBpuZObh8OXbOHz5Nj7ZFgcPtYC2McHoIgusnNGp1FxGSipVD/DSlMq6SRkpNdeRImewZY6UVNrXOCIAx65mACjZSZV0mo4I8C41Ryo80NtwNwMAHvlyv/7xAC90bhBq1LUPsL2jmTN4alQoKtAir1BrV6DbMMwf28+XzDlw1fbnoiji2NUM/HkyCX+eTDbcqfOyZY5O8Q5rrf1suElGamibaLSIDsTCvy5gy9lUHPpwB94c3tIQbLuSXNldWdHkX+kdd6ofgpUHr1rcxt0CLb7aeQkLN19AboEWHmoBz/SMxb97N3Ra+29Hk9qCW8o8uWIgFeLnifQ7xjeC/vPrKatf46oL8jpC3VA/LHioDaZ8fxhf70pAx7o1MKhVlLOHRXYQRRGp2fk4fSOzONOk/7C0TEOQjwdaRAeiRXQgmkcHokV0EBrU9FNMBnbOsBbYdykNiWm5eOfPs4Z5f5JMWUZKumlna2mftXLG8EBvjOkYgzEdYyCKIq6m39UHVZfSsPdSGpIy83Aw8TYOJt7Gx3/HwVOtKg6sQtClQSjaV1FgZe6GYErxHLHwQK9SCQDpusyNpkgxkFKS0l37Sn9+QRZISVkeJUb74YFeSLhluVuZ3LGrGejcIFTWbMJ1Jq1aUtPfC1fSc5GanW/XhNKG4caLm7pSGaMUPP1xIgkbTiUblTn4eqrRp1kEnrqvfpnbkY6z1romR5pkpDQqAf/qGYveTcIx4+djOH0jC8/9eBQbTyXjzREtXarEzZZOi/LOelKpB6A/CYkisOVsCracTSl+bQ28M7IVGkW4VolMWaT3ohLMz+eUGmNYCphcsbTvt393x+/Hr8PXU4N568/Y9DWeGtd7H47Uv0Uknu7RAF/suISXfjmBplGBTp+zR9bpdCIS0u7IAqZMnE3KKlUtIqkV7INmUYGGwKlFrSBEB3m7dIl1WYJ8PPD+6DaY8PV+/LDvCvo1j0TPxmGG56XrjkAfD0QHFwdSNs4FtHVemCAIqBPqizqhvhhzjz6wupKeWxxYpWNvfBqSs/JwIDEdBxLTsVgKrOroM1ZdG4SiXZ3gSgms5NceoihCEASkZOsDqcgg71KNOvLNNO5Q4CWqEQZSClJWaV9KVj6y8oqgVgloEOYn6/xSBYOrKJPjrI+H2uLB2pR0ICtpNuH6u3VUkL5cLSnzrl13Y0wDqVwLLUiriiiKOHo1A39aCZ6GtIpCryZh5T6YW8tI1fD1LLVOBQA0iQzAb892x5Jtcfjk7zj8cTIJ+xPS8M7IVujfIrJ8b66S5MpLIor/SKWgWvrbrV3DB9FB3riRmYfwAC/DScvPUyPrdqXBq4ObYUzHGGWt1WNyYFIJgtmbPmV1GHTFQKpOqC+m3t8Iu62sAWbKnTNSkhcHNMHRKxk4kJiOZ344jF//3d0l5nmQfu7KheQcfaapuDTvbFKW2XOLSgBiw/yLA6YgNI8ORPOoQNRwoRtVjnRvo5qY1K0elu1JxEurjuOv6T0Q7Kt/r/KMVK1gHwAwOv9dTc/FmqPXzW7X3pbvgiCgbqgf6ob6Yew9dSCKIi6n5RplrFKy8nEgIR0HEtKxeOtFeGpUaFdcCtg1NhRtYxwTWBlVVoj6c5e0GG9EgDcKtMb7jxRICSi5eaakefzmuP4VJxmUlVm6IOvY56VRG+4CKXEX1Yki0sy0PzedSwWUzIXKMtQqu35GSuruk5SZZyhdskWDMD+Mal8bLWsFoV2dYHioVTiQkO6UjJROVxw8nUzChpNJuCFr+epXHDwNtjN4Akrmz1i7UFapBIQHeJud3OuhVuGFvo3Rp2kEZq46hgspOZjy/WE82L4W/ju0BYJ8nLuf2JKREgQBk7rXw4r9V9C7aTgu7UoAAHRpEIK41By0q1MDrw5uhrCA0k03XJ28jFGE9Hs2E0iprWekXDCOMijP0NxpHSlLPNQqfPxIOwxZvBPnkrPxxtpTeP+hNs4eVrWTebcQZ5NKskxnbmQhLjXH7M1abw8VmkZKZXn6wKlJREC1C4BnDWyKHRdv4tLNO3h97Wl8PK4dgJLrjyAfDwT56s8p2XlFSM3Kwyfb4vDjgSuGG309GhvPWXVU9YwgCKhX0w/1avrh4U76wCqxOLDaG68PrlKz87E/IR37E9LxUXFg1V6WsWpbJxhemvL/TuXTCnSiCBUEJBtK+7yRfsf4Ok7KUAmCoD/Hi6IybvZbwUBKQcpqTCAv6wNKSqKklacT05Sz1o5WJ9qfkfJx/d06qvjOVVLGXdQJtb285e+ZvQz///Xf3ZGSlYfO72zFnfwiQ1q9MumDp9v440QyNpxKMlovw89Tjb7N9cFTz8b2BU9y0ju5ZmHldEl4oJchkDL37lvVDsLvU+/Fh1su4Msdl7DmyHXsiUvD/0a3NirRqEyfbY8HADzTK9bwWK6VTovyGwZTesRiSo9Y/HyoZK5UgzB/fDXxnkoYadWTrt3kcxrlZYwlCzhamCNVucOrMtWlk11EoDcWj2uHCV/tx6rD13BPvRCMuSfG2cNyS6IoIiUr39Ax78yNLJxOysTVdPPH1GBfD0Ow1KI4y1RfQfOZKpOPpxoLx7TFqM/2YN3xG+jXPALD2kQb3cCV5v7ezM5Hj/e3GbrNdm8Yipn9m6B9HeOuf/6VVD0jCALq1/RD/Zp+GFccWCXcuqMvAyzOWt3Mzse+S+nYdykdi3ARXhoV2tepga6x+uYVbWKCzAZWS7bFQV1cQg+Yn+ubKpX2BXpZXPJAvjIgAymqMmU1m7gga30OlOyk/1xw/YUQTS+GsvKKbG4WIR3IpLpcKeXuyqJlGamYEF+bvsZcyaJfcWmATtSnzCujBlqnE3Hkym38cTIJG04mGxbaA/QXvH2bhWNwqyj0cEDwBAAd6tbA4cu3Mbb44qqsbFuEDV35vD3UmD2oGfo3j8DMn48jMS0XE785gEc618Grg5vZXWJhi+y8Qvxvo77T5LhOMYb9U56RMm02YY78969RUgmfBdZOns2jA3EgIR0ADE0blDRHyh7u8Du1VbfYmpjZvwne33Qer689hRa19BfvZD9t8fpMUmnemeLAKe2O5flM8gYQLaIDEaXw+UyVrW1MMJ7t3RCLt17E67+dQqd6IUalfZ7qkvNfXqEO7esE48UBTSx2Tw2oxPOOnCAIaBDmjwZh/niksz6wunTrjiFbte9SOm7l5GNvcVkgoG8I1aFuDX279dhQtKkdjLuFWry/6TwAYFynOgjy8TA6j0lVU1JGKiLQ2+qi8YbpJ4qsmyrBQEpBtKWaSxg/L299Dij7AuNmdumyPsD8xVRWnn7NAukuW2MFTLaPDCrOSNmwAnrLWoE4dT0L7zzYqtRzvrLAJSe/yGGBlE4n4vCV2/jjRBI2njIOngK8NIbM032Najo8ePvuiU44eT3TqNGCNebWkrKkQ90QbHi+B/638RyW7UnEiv1XsPPiTbw/ug26NAi1d8g2y8kvMgRSpnMPUrPzDI+Z28/lZSDunr1oVSvIEEhJzJX1Ai5+nCvH0Dxs6WTpRp7pGYvDl2/j73Op+PfyI1j33L2KKMt2BXmFWlxIyTYqzTublI27haWz3GqVgIZh/obSPGk+kxJuOLqi5+5viG3nUnHyeiZeXn3COJAy+Rv+9olOVsv3nLUIsSAIiA3zR2yYPyZ0qQtRFBF/844hW7X/Uhpu5RRgT3wa9sSnAZv1JZ7yFvXJmXk4l5RlqAQCSq5JDXOkzDSbKBmEVL5fUtp38lomooK9UdNfWaXqDKQURKuzHNmLomhofd5Eyki58PVFWW5m27YOA6DPSJ1P1r/3iEAvl+rMZol8jlRZaW3potlcml2lEuDrqUZugRZ38osqdADS6UQcunxbP+fpVJLhYAiUBE9DWkXhvsY17aqltpWfl6ZcQU2EfOV0G/Z5H0815gxrgf4tIvDSqhO4mn4X477ch8e71cfLA5s4PDCU3+GVn1RMJ+k+9e0hq9uRn3TdYc0ha3chW9YKLPWYpYSNko9zch7VoNmEnEolYOGYNhiyeBcup+Vi2e5ETOvTyNnDcjmZuYU4nZRpyDCdvpGFuJs5ZitUfDzUaBoVUNIEIioQTSID3GYpBFfgoVbhw7H6/XaHrNon0EdjFEh5alRlVjpUVmlfeQmCgIbh/mgY7o9HiwOruNQcQ7Zq36U0pN0pwMHE24avGft/e0ut6yiKQJFWZyjtiwj0NtulD9DfGJMO3TpRxMlrmRj6yS4AQOK7Qxz/JiuRa/wWySbWKt2uZ9zFneJ1ZOoVt5RVUoredKg3bZwfBejnSJ1LzgIANI0suQBb/lRnjP9qv0PG52hSIHUrJ7/C6135eWmKA6nyd+7T6kQcSkwvDp6SkZptHDz1kzJPlRw8WbN00j14fNlBi8/bUtpnTrfYmtj4wn1458+z+PHAVXyzOwHbL6RiwUNt0M6klr0i5O3t840CKeOSiBPXMq1upzplpFqaKfOy3GzCdY9zlrJo5lSHZhOmgn09Map9LSz+O67UuoHVjSiKSMrMM2o1fiYpy+Ic0RA/T8M8Jqk8r35NP6tdTskxGoYHYNbApkZLGwT5eBjNJavh61HmsclVl2oRBAGNIgLQKCIAj3atp79RXxxYvbH2NACUCqIA/c2xi6l3UKgVEeClQZSVQMrXU23UWXpfcUmhEjGQUoiEW3ew/sQNo8fkd3QvFpf11a/pZ7jIOpuUVXUDdLBbFkr7zJE6EAFA06iSsr7uDc3XJbuCED9PeGpUKCjSGeqJ7eXvpcHN7HybusABJcHTH8XBk7yMMsBbHzwNaRWFexs5L3iS6900HHOHtcB/fz9t9vmIQPsCKUB/Ipv/YGv0bxGJV1afwKWbdzDqsz34V89YPN+3kUPev/y+sfykIg98b5vMYzCXpZRnpFy6nM1G1jKxDcL8zTxqqbTPMeOpCj0bh1mcs1qd5kjJqYszcbYsOO8u9POZcgyL2Z4pDpxum7k4BYCYEB80j5I1gYgORGQg5zM506Ru9bD5TIphTlGAt4dRZ+UaNpROVubcXEcSBAGNIwLQOCIA286lYtt588cwnagvzwOAlrWCoFIJFkv7/Lw0RjealHwDQBm/xWqqUKvDljMpWL7/CnbJ1iMJ8vEw1OVKTDv2AWV3O3Mlpn9sNy3cnTT3p5ZXqMPRKxkAgGaRpUuCXJEgCIgK8sbltFyzrbvLw7e4Da21pgxanYiDssyTafDUv3kkhrSORPeGrhE8lYd8jlR5MgByvZuE468XemLOutP49eh1fLo9Hn+fS8UHD7VBy1oVmwQvDxjyZXMY5Bkp+Ry0WsE+iAgqXaIpD6Tyi5y7bpgjWAukzJ1U3aHZhLU5EdX1oli6ie+ugVReoRbnkrMNwdLpG1k4l5xl6Ogmp1YJaBTub5jHJK3R5OylGqg0lUrAB2Pa4MFPdyOmhi/UKgEq2S5sy+8swEuDJhEBOF98/aYEIX6Wpw/oRBHHr2UAAFrX1p83LQVS/l5qw00wUWQgRQ4miiI+3R6PZXsSDRe8gqC/2BvfuQ6y8gox/afjRl9z3kwgpSSp2ebXGrDV6Rv6jFSzKGUEUgAMgdTVdOtt6cuaQyV17jNtp63ViTiQUBI8yUtnAr016N8iEkNaRaF7w5plLnrqysJlGam8CgQYQb4e+HBsWwxoEYH//HoK55KzMWLJbkzr0wjP9Ip1SDmdlJHS6USjOVLJxfPRmkQEYMPz95ldWFce4Jq7CHMX0+5vaPZxi+3PXfj8Kx+bt4eqXGvGVRdSRqqsBeeVICO3wFCap1/UNhPxN++YDRJ9PdVoFiUFTPqgqVGEP+czKUitYB/881Jv2Vp3JX/wtmSkVCoB66fdi2eXH8FfZ1IqbZyOVNPf8vsSReDkdX1GqpUUSFmYuuDvpTH8vHSiyECKHOtMUpahxWRNfy+Mvac2xnWqg9o19G2y1x7Tr5Itv8C+aNKxT2lSsipW3gboJ+A3CLN9TSZniy7u3Gcpc1jD17a7kFJ5wJ38Imh1IvYnpOHPk0nYeCrFKHgK8vFA/+YRGNw6Ct1jlRU8iVaiSXlb8JtZFZ9nMbBlFDrWC8Frv57CxtPJWLj5AjafScHCMW0MSwuUi2zo0g0C0+5aUilrZJC32SDKVJ6Z7lxKY+k3amm/tPRTUcrp199LY9PvtrqRYkudggIpURRxIzMPp69nFgdM+vI8S9UFoX6ehnlMUve8eqGcz+QOLAW+wTaevz3UKkUFz9aaeeUXaQ3TLNrUDjY8Zo6+tE9PhLJLmxlIuSApQ9E8KhC/Pdu91IWFaQmITifiYqqyM1KFZSw2LLFW/tIwPEBRk/AjixtOmGtZC5R+r5beuVTa992+RLy36ZzRQsZS8DSkdRS6KSx4spX855RSjm6P1tT098JnE9rj9+M38Ppvp3DyeiaGfLwLM/s1xlP3NSjXBZB8LqOUkTKdz1ZU3JHT1v3X0j7jDiwt/mnpT990WQhXIh+yn5cGaldOnzmJq2ekirS64vWZSkrzziRlmZ1sDwB1QnwNTSCk9bHCA7yqbelmdRVkYyAFKKusLdRKZ+CzSdko1IoI9vVA7Rr6G8WWqovkZc6iKCoqmDTFQMoFSRmK+mF+Vi98peuHq7dzkVeog6dGhbqhysnIOFqzSGUFkVHBPlaft5aFkZMOSKeu6+8EBfl4YEALfbe97g1rKiq4rChHZDYlgiBgeNta6NIgFK+sPoFt529i/oZz+OtMChY81MbQHbMsRnOkiu/O3TVZQ0paA27LWdvKO5Q2j80cS/u3pf3V0vy3wiLXvAA35efJjJQ50p1oV5gjdbdAi3PJ8tK8LJy3MJ9Jo9J3NispzQtEs+hAroVFAICocjRBUlKMHWolI3X8agYA/TqA0o0Da80msovnda86fM2QwQL0xwIlBZcMpFzQjQz9xWDtMi60JdJFWGyYv8Wdr3P9EPRqEu6YAbooecc+JSjPgdaaEW1r4dT1LDSPCsTg1lHoFhvqdsGTrZdYlTF3KCLQG99Mugc/H7qKN9efxeHLtzHoo52YPbgpJnSuW+bFsXxld+n/9rSqB4D5D7bCz4eu4t+9Y+36eiXwtNAG3NLFRkWXD6hM8iyEv5cGbvZn6RAqJwVSt+8UGOYxSaV58TdzYG4YfsXzmaSOedJ8Jne4oUGO9WL/xth58RYe7lTH5q9RUsOcQB/LYcMJk0YTgPVASvLZ9nh8+0Qnw+d3C7WK6WgIMJBySTeK66yjLQRSpn9yFwwL8VqeH/XT010dMjZns3a4aaqQjn2SqGDrgVShVjTq7GZJ5wahWPfcvY4aFpkhCALG3lMH3RvWxEurTmBv8XoaG08l473RrQ3zF82RtzyftfokinSiYdHs8hrXqQ7GleME7coslTpZzEhZCqTK2ZjGWXy91CztM0PKSMXfzMGU7w5hRv/GDj2Wi6KI6xl3jVqNn7mRiRsWlp2o6e8lC5j0QVPdEF9mE8kmU+9vhKn3l29haSXtWr6elsOGY8UZqday7JKldaQCTAKlLFkn6rsFDKSogm5kWg+kJNLcCymQsmsivIu4t2FN7Iq7hRq+Hoa1NDzVqjLvNneoWwOHL+tX21ZcRirI+u83J78IDyze5RaNBSrbrIFN8b+N5yo9yKhdwxfLn+qM7/ddxvwNZ7EnPg0DF+3EGw80x0Mda5sNDkx/f3N+P40PHmpTqeNUAkvXDpYDKfNf4coZKTk/NpswSwouL6bm4GJqDuJSc/D3i73s2laRVof4m3dwJikTp6+XlOiZLhciqRvqawiWmkcHokVUoFEXUKKqoKSMlJ+VQEqan90wvOSm/rQ+jbBw8wWEB3gZdWf2MwmUNsu6FirtmoeBlAsqyUiZP6Cb/s1dMHTsU1YgIffVxI5IuHUH3+29jB8PXAEAhPp7IqmMxWrlrTjDA5R1Aqzh6wEvjcrsHZuhbaJxMCEdl27dccLIlOfpHg3Qo3FNuzM95aFSCZjYrR56NA7Di6uO4/Dl23h59QlsOJWEd0e1LrVAsOnvt1ArYtWha5U+Tldn6drBw8K8UEsxiCtnpOTv0d+TzSbMMS1Ht/WYl1tQhHPJ2cVZpkycuZGFc8nZZo+nHmoBjcIDjErzmkUFIIDzmcgFKKkRiY9n2eWs8mUepvZuiL7NIpCUeRdPfnvI8Li/yZp6vx+/Yfh/bgEDKaqAvEKtIaqvZcMcKf0dOGW3Pgf0LUSbRQUaXXiYC6TkzzcM90f9mv7A/7d351FRXXkewL+viqLYEWTfQSCACwoqkrRxQ8BkFBSPppOZVqO2MTpq0p5Om4khJ+lM2m5bTSaZjp12iZOTjtqNxiWTM0rcQ8doCpdWCa3gCkQxLKKCgTt/0PVSVVRhlaJVr+r7OYcjPC71fvWuBfV7997fhTL2XzCl35S3ur7rPlIF6RF4o6Av/mPLSew8UQPA8htM6kxu+kbc38a5tooP8samOdn404Fz+P3/fYs9FVeRu3I/Xi/oiwnpEfIfR3N31ww32HZVlt47WFwjZWEMy5E3J+5Stc9CNuiM1TSt5WbS3+H+XW+IXW9pw9//mSzpq+dVXWsxu57JR+uG1HBfeZQpLdwPyaG+Ln2NybEpaaC6u03F9Qx/z6lUEtIi/HD1hvHWJN2NbJlWtXV0TKQcjH40yttdfdedsYUAzl+/ibYfOuChUSG6m3UaShTUTZlNABiWEIi5I/rg9p12TBwU+ZCi6lnh/p5mE6kQPy16ebnj3acHIe94GE5cakBWfKAdInQMjlrhWq2SMGdEH4xKCcEvNh3DicuNWPhJOT4/WYtfF/ZDbx+tU2+e+yBY2grBUuJlaQ6+IzB8Q+GjVaPN5LlNGhQJP0+N06x7uxem05qabt3B5ydrccqg1LilmQnBvlq5Yl5auD/6RvghhuuZSGEUNCAFD40ay4r64+vq7/GXo+ZnVpi7YWR4xFOjhlol4b+fycCZ2ma8U1pp1PZq8/3vB/kwMZFyMPqKfRG9PC0O9xrema3Ur48K8XWKPx6Gz6C3d/eJVHZCEPy9NHhtQt8HG9QDZKnghH6aoiRJmJAegQnpEQ8zLLJRcqgvSp5/FP+95yz+64tK/O/JWhyuuo43J/aHxsIIi6uzNMLUfNv83UhLV9FRk2zAeL2Xt9YN7beN1+qE+nvgpfyUhx2WQzHdiLOlrR3PfXS0S7v4IG95hEk/RU9p07mJzFHSGikAmDokBgOjA+REystdbTQdz2wiZTjN+Z+jWk/0D8cT/cNx/FID9lZclb/fk9uYPAxMpBzM3Sr2mdKvj0pS8LQ+Q4YvtiBf8/sVDI0PRMPNNuSkKb+cu7lpLEBnhS9SFo1ahYU5SRiT2jk6VVHXjOc+OqroKbcPkv61vmB0ItZ/WY2mfyZQdywUj1DSOgI9w+lk3lo3tLQaJ4kaJ7j5db9MbwC6q1VICvUxKgKRGu6nqCpeRLZQWiIFAB6aH3+35fUNwxbdZflrc2tBDW8qmb6WTddEcUSK7stlGxIpAaBCLn2u3EITlgSZGZGSJAmfzB4GSVLmGytTlir3Kf+Zua5+kf7Y9u+PYdXuSqzed1a+2WHI9A6eK9L/H38x9xEszElGn5c/6769Al8UxiNS6i5Jg1rFdTvXW9rkz4+9mgtfD1Y3JNeixETKcA+14UlB2HbsirwXnLnXr6fmx/beJjeKdRe+lz8//lpul9Lojo6/xR2MPpGK7GaPIcPXnH5qn5Ir9hkynO5jaURKpZKcIokCLI9IkTHDDf6UQOumxkv5KfjL3EeREOTd5fvjB3CqpuEvMsOpIP0izfe1l7tacQUDDKd1epup2mdaaMEVxQb+uLbX30vDJIpcjhL/yxuOSPl7apAZGyB/bTpdFzCu9mc6IjVlcDQAYFy/MPh5aBT3/k5ZaZ8L0E/tiwy4+4jUnfYOnLvaWSrWGaf23W2NlDOwNCLlwMs+7GJwXCDWTh+MuN5dkxJHlhETgJ0LhuP/TtXi1ztPy1MWXpvQF48nB2Pex9/YOULHUfqLEThf32L0B9mQl7sbPpqZhSmryx5yZPfO3WQ6i2mSoMQ70T0tu09vvP+vmUgLV9aG6kQ9RYk3DzwMRpi83N0wLKE3DlddB2B+jZThiJRpIvXSuBQMiQtEbt/QBxTtg6Ws23suQF4j1c1mrfr/olXXWvBDh4C3u7rbUukRCh31uFvVPmv08uqsfOio71c4ImW90SmhSAhW3g0DT3c1CgZGYkxKiNGxJweE2zEq+zP9W9sn2AejU7r/QzpUYZUrDaf2ebqru7zB6HDkShkPiSRJyO8XhpjezlV1lshajvr+pDuGN4l6eWnweFKQ/LXZRMrdcGqfcSLl56FB4aBIeHVTEt2RKTNqJ9XRIXCl8ceqfXfTcLOzAlRSqK/ZodC/zn0UK3d9i6X/ktazgT5Ahs/CcLPde/XxrGH4z89OY3HeI/f9WA9CLy8NPDSqLiWyFfh7le5iybhU1DTexqQMZZbq72mu8H/ccOqeu5uqy9Q+S4U1iMh1KHFkWqWS8PzIPqi/0YaUsM6lJc9kxUDrpja6gaRnOCLl5mRrQ5lIOZBrLa1o+6EDkgSE2TBSYakqWGZsAD6aldVT4T0UhglhoPf9J1JpEX4OfQ0kSUKEvyfOXWsxOs771M7H30uDD58dau8w6CEyfEOhdVN1mcLzg4U9s4jIdShwZh8A4JcmWze8ObG/xbaGUwGV+nwtca60UOH0e0iF+nqYzej1TG9eWFpToGQBXhq4dXMNnMnA6F6QJOCNwn7yMS8Ny5+7gn8d1rkRq/5myJwRCfYM56EY1y8MADBnRB+r2scqeMqX4fSXqAAvmNaWuNPBESkiV6fEESlbGU73c7YiOxyRciApYb7434XDcaPV/IaUeoazQTJjA1CUEfWAI3v4emJ9lFIsmzwAv8xPQZi/B7ITAhHko3WZJNLVvVHQD3NHJiKylycuN9xS7HpGW7z3dAbqmm9bLLRiKsDr/kem7UWlknDitVx0dHTekTVdO8ARKSJSWpW6++VsiSMTKQfioVEj1YrKRV9XX5c/XzV1oFO96da/vnr/c31UsK9WcZuz2UqjVslTORNDnKOMPVlHkiS5UEx3BWOciUolWZ1EAV1H4GN7e+F8/c0ejurB8fXQyJ/HmFSd/IFrpIhcXp9gZVWjvVcqCegQQGKI8opGdYeJlAIZjlhFByp32kt39CNSYX4eTp9IEZFlpvcuP549DBu/vog/H76guN8NjycF4ZUnU/HrnacBAHc6OCJF5OrGD4jAlYbbTrlMw9CGZ7PwVVU9pg6JtncoPcp5hjJciGnlJ2ei35BXn0hFB7rGXXoiMs90GkhkL0+8ODbZqsqmjkaSJMwa/uM6OOf9TU5E1lKpJMwd2Udx2zvY6idJQfhF7iOKLXNuCRMpBXphbDKiAz3xkknFFGcwPDkIYX4eGJPauefO0n9JQ2Qv53yuRGRBe7v8qdTUaPS1ntZNuX++fpn/CKIDPfHvo5PsHQoREd0HSQjuCNjU1AR/f380NjbCz4+7qxMR2U1JCbBwIeKeeR8AMPTiSWza/y7w9tvApElys39b8xUOVF4DAFT/5km7hEpERM7J2txAubf0iIjIuZSUAJMnA5cuyYckIYDLlzuPl5TIx8enRwBwnSIdRETkeJxroiIRESlTezuwcCFgMklCEqLzmCQBixYBBQWAWo3JGVGI7OWJNCsqnRIRET0IHJEiIiL7O3DAaCRKL7Lpu85PhAAuXuxsh84F2o8lBiHAW7n7TBERkbIxkSIiIvurqTH68n82voIJp/bilS/WdNuOiIjIXpwmkXrvvfcQFxcHDw8PZGVl4fDhw/YOiYiIrBUebvTl8OpyvLN9OQJuN3fbjoiIyF6cIpHauHEjXnzxRRQXF+Obb75Beno68vLy8N1339k7NCIissbw4UBUVOdaKHMkCYiO7mxHRETkAJwikVqxYgVmz56NGTNmIC0tDe+//z68vLywdu1as+1bW1vR1NRk9EFERHakVneWOAe6JlP6r1et6mxHRETkABSfSLW1teHo0aPIycmRj6lUKuTk5KCsrMzsz7z11lvw9/eXP6Kjox9WuEREZMmkScBf/gJERhofj4rqPG6wjxQREZG9KT6RunbtGtrb2xEaGmp0PDQ0FLW1tWZ/ZsmSJWhsbJQ/Ll68+DBCJSKiu5k0CaiuBvbsAT7+uPPfqiomUURE5HBcch8prVYLrVZr7zCIiMgctRoYOdLeURAREXVL8SNSQUFBUKvVqKurMzpeV1eHsLAwO0VFRERERETOTPGJlLu7OzIzM1FaWiof6+joQGlpKbKzs+0YGREREREROSunmNr34osvYtq0aRg8eDCGDh2KVatWoaWlBTNmzLB3aERERERE5IScIpGaOnUqrl69ildffRW1tbUYOHAgPv/88y4FKIiIiIiIiHqCJIQQ9g7C3pqamuDv74/Gxkb4+fnZOxwiIiIiIrITa3MDxa+RIiIiIiIietiYSBEREREREdmIiRQREREREZGNmEgRERERERHZiIkUERERERGRjZhIERERERER2YiJFBERERERkY2YSBEREREREdnIzd4BOAL9nsRNTU12joSIiIiIiOxJnxPocwRLmEgBaG5uBgBER0fbORIiIiIiInIEzc3N8Pf3t/h9Sdwt1XIBHR0duHLlCnx9fSFJkl1iaGpqQnR0NC5evAg/Pz+7xEAPHvvZtbC/XQ/73DWx310L+9v5CSHQ3NyMiIgIqFSWV0JxRAqASqVCVFSUvcMAAPj5+fFF6QLYz66F/e162Oeuif3uWtjfzq27kSg9FpsgIiIiIiKyERMpIiIiIiIiGzGRchBarRbFxcXQarX2DoUeIPaza2F/ux72uWtiv7sW9jfpsdgEERERERGRjTgiRUREREREZCMmUkRERERERDZiIkVERERERGQjJlJEREREREQ2YiLVjbfeegtDhgyBr68vQkJCUFhYiIqKCqM2t2/fxrx589C7d2/4+PigqKgIdXV1Rm0WLFiAzMxMaLVaDBw40Oy5hBBYvnw5kpOTodVqERkZiTfffPOuMW7evBkpKSnw8PBA//798dlnnxl9v6SkBLm5uejduzckSUJ5eblN18AVOEM/v/baa0hJSYG3tzcCAgKQk5ODr776yrYL4UKcoc+nT58OSZKMPvLz8227EC7CGfrbtK/1H7/73e9suxguxBn6va6uDtOnT0dERAS8vLyQn5+PyspK2y6Ei3D0/v773/+OoqIixMXFQZIkrFq1qkub/fv3Y/z48YiIiIAkSdi6dastl4DsgIlUN/bt24d58+bhb3/7G3bt2oU7d+4gNzcXLS0tcpsXXngB27dvx+bNm7Fv3z5cuXIFkyZN6vJYzz77LKZOnWrxXAsXLsSf/vQnLF++HGfOnMG2bdswdOjQbuP78ssv8dOf/hQzZ86ETqdDYWEhCgsLcfLkSblNS0sLfvKTn2DZsmX3cAVcgzP0c3JyMt59912cOHECBw8eRFxcHHJzc3H16tV7uCLOzxn6HADy8/NRU1Mjf/z5z3+28Uq4Bmfob8N+rqmpwdq1ayFJEoqKiu7hirgGpfe7EAKFhYU4d+4cPv30U+h0OsTGxiInJ8foOVAnR+/vmzdvIiEhAb/5zW8QFhZmtk1LSwvS09Px3nvvWfmsye4EWe27774TAMS+ffuEEEI0NDQIjUYjNm/eLLc5ffq0ACDKysq6/HxxcbFIT0/vcvzUqVPCzc1NnDlzxqZ4pkyZIp588kmjY1lZWWLOnDld2lZVVQkAQqfT2XQOV6TkftZrbGwUAMTu3bttOperUmKfT5s2TRQUFNj0uNRJif1tqqCgQIwePdqm87g6pfV7RUWFACBOnjwpf7+9vV0EBweLDz74wKZzuSJH629DsbGxYuXKld22ASC2bNlyz+egh4MjUjZobGwEAAQGBgIAjh49ijt37iAnJ0duk5KSgpiYGJSVlVn9uNu3b0dCQgJ27NiB+Ph4xMXFYdasWbh+/Xq3P1dWVmZ0bgDIy8uz6dzUldL7ua2tDX/84x/h7++P9PR0q+NzZUrt87179yIkJASPPPII5s6di/r6eqtjc2VK7W+9uro67Ny5EzNnzrQ6NlJev7e2tgIAPDw85O+rVCpotVocPHjQ6vhclaP1NzknJlJW6ujowKJFi/DYY4+hX79+AIDa2lq4u7ujV69eRm1DQ0NRW1tr9WOfO3cO58+fx+bNm7FhwwasX78eR48exeTJk7v9udraWoSGht7XucmYkvt5x44d8PHxgYeHB1auXIldu3YhKCjI6vhclVL7PD8/Hxs2bEBpaSmWLVuGffv2Ydy4cWhvb7c6Plek1P429OGHH8LX19fslCQyT4n9rn+Tv2TJEnz//fdoa2vDsmXLcOnSJdTU1FgdnytyxP4m5+Rm7wCUYt68eTh58uQDuQvU0dGB1tZWbNiwAcnJyQCANWvWIDMzExUVFfD09ERaWprc/uWXX8bLL7/c43GQsvt51KhRKC8vx7Vr1/DBBx9gypQp+OqrrxASEtLjz8WZKLXPn3rqKfnz/v37Y8CAAejTpw/27t2LMWPG9OwTcSJK7W9Da9euxTPPPGM0UkHdU2K/azQalJSUYObMmQgMDIRarUZOTg7GjRsHIUSPPw9nosT+JmViImWF+fPnY8eOHdi/fz+ioqLk42FhYWhra0NDQ4PRHY66ujqLCwnNCQ8Ph5ubm/yCBIDU1FQAwIULF+Q3yHr6YeqwsLAu1WZsPTf9SOn97O3tjcTERCQmJmLYsGFISkrCmjVrsGTJEqtjdDVK73NDCQkJCAoKwj/+8Q8mUhY4Q38fOHAAFRUV2Lhxo9VxuTol93tmZibKy8vR2NiItrY2BAcHIysrC4MHD7Y6PlfjqP1NzolT+7ohhMD8+fOxZcsWfPHFF4iPjzf6fmZmJjQaDUpLS+VjFRUVuHDhArKzs60+z2OPPYYffvgBZ8+elY99++23AIDY2Fi4ubnJb5ATExPlF2V2drbRuQFg165dNp2bnLef9XfNqCtn7PNLly6hvr4e4eHhVsfnKpypv/V3vrn+8e6cqd/9/f0RHByMyspKHDlyBAUFBVbH5yocvb/JSdmx0IXDmzt3rvD39xd79+4VNTU18sfNmzflNs8995yIiYkRX3zxhThy5IjIzs4W2dnZRo9TWVkpdDqdmDNnjkhOThY6nU7odDrR2toqhOiswpORkSEef/xx8c0334gjR46IrKwsMXbs2G7jO3TokHBzcxPLly8Xp0+fFsXFxUKj0YgTJ07Iberr64VOpxM7d+4UAMQnn3widDqdqKmp6cErpWxK7+cbN26IJUuWiLKyMlFdXS2OHDkiZsyYIbRarVG1J/qR0vu8ublZLF68WJSVlYmqqiqxe/dukZGRIZKSksTt27d7+Gopn9L7W6+xsVF4eXmJP/zhDz10ZZybM/T7pk2bxJ49e8TZs2fF1q1bRWxsrJg0aVIPXiXn4ej93draKj9WeHi4WLx4sdDpdKKyslJu09zcLLcBIFasWCF0Op04f/58D14p6klMpLoBwOzHunXr5Da3bt0Szz//vAgICBBeXl5i4sSJXZKUESNGmH2cqqoquc3ly5fFpEmThI+PjwgNDRXTp08X9fX1d41x06ZNIjk5Wbi7u4u+ffuKnTt3Gn1/3bp1Zs9dXFx8P5fGqSi9n2/duiUmTpwoIiIihLu7uwgPDxcTJkwQhw8fvu9r46yU3uc3b94Uubm5Ijg4WGg0GhEbGytmz54tamtr7/vaOCOl97fe6tWrhaenp2hoaLjna+FKnKHf3377bREVFSU0Go2IiYkRr7zyivyGnow5en/rt6Ex/RgxYoTcZs+ePWbbTJs2rQeuED0IkhBcsUhERERERGQLrpEiIiIiIiKyERMpIiIiIiIiGzGRIiIiIiIishETKSIiIiIiIhsxkSIiIiIiIrIREykiIiIiIiIbMZEiIiIiIiKyERMpIiIiIiIiGzGRIiIiIiIishETKSIisqurV69i7ty5iImJgVarRVhYGPLy8nDo0CG5jSRJ2Lp1a4+cr7q6GpIkoby83Kp2+g9fX1/07dsX8+bNQ2Vlpc3njYuLw6pVq+4taCIicjhu9g6AiIhcW1FREdra2vDhhx8iISEBdXV1KC0tRX19fY+fq62tzeaf2b17N/r27YubN2/ixIkTePvtt5Geno7t27djzJgxPR4jEREpA0ekiIjIbhoaGnDgwAEsW7YMo0aNQmxsLIYOHYolS5ZgwoQJADpHcgBg4sSJkCRJ/vrs2bMoKChAaGgofHx8MGTIEOzevdvo8ePi4vDGG2/gZz/7Gfz8/PDzn/8c8fHxAIBBgwZBkiSMHDmy2xh79+6NsLAwJCQkoKCgALt370ZWVhZmzpyJ9vZ2q2IZOXIkzp8/jxdeeEEe4dI7ePAghg8fDk9PT0RHR2PBggVoaWm5n8tKREQPARMpIiKyGx8fH/j4+GDr1q1obW012+brr78GAKxbtw41NTXy1zdu3MATTzyB0tJS6HQ65OfnY/z48bhw4YLRzy9fvhzp6enQ6XRYunQpDh8+DKBzpKmmpgYlJSU2xaxSqbBw4UKcP38eR48etSqWkpISREVF4fXXX0dNTQ1qamoAdCZg+fn5KCoqwvHjx7Fx40YcPHgQ8+fPtykmIiJ6+CQhhLB3EERE5Lr++te/Yvbs2bh16xYyMjIwYsQIPPXUUxgwYIDcRpIkbNmyBYWFhd0+Vr9+/fDcc8/JiUhcXBwGDRqELVu2yG2qq6sRHx8PnU6HgQMHWnys7tqdOXMGqamp2LhxI6ZMmWJ1LIsWLcKiRYvkNrNmzYJarcbq1avlYwcPHsSIESPQ0tICDw+Pbp8vERHZD0ekiIjIroqKinDlyhVs27YN+fn52Lt3LzIyMrB+/fpuf+7GjRtYvHgxUlNT0atXL/j4+OD06dNdRqQGDx7c4zHr70Hqp+hZG4upY8eOYf369fLInI+PD/Ly8tDR0YGqqqoej5uIiHoOi00QEZHdeXh4YOzYsRg7diyWLl2KWbNmobi4GNOnT7f4M4sXL8auXbuwfPlyJCYmwtPTE5MnT+5SUMLb27vH4z19+jQAyOutrI3F1I0bNzBnzhwsWLCgy/diYmJ6PG4iIuo5TKSIiMjhpKWlGZU712g0cmEHvUOHDmH69OmYOHEigM6kpLq6+q6P7e7uDgBdHs9aHR0deOeddxAfH49BgwZZHYu7u3uXc2ZkZODUqVNITEy8p1iIiMh+OLWPiIjspr6+HqNHj8ZHH32E48ePo6qqCps3b8Zvf/tbFBQUyO3i4uJQWlqK2tpafP/99wCApKQklJSUoLy8HMeOHcPTTz+Njo6Ou54zJCQEnp6e+Pzzz1FXV4fGxsa7xlhbW4tz585h27ZtyMnJweHDh7FmzRqo1WqrY4mLi8P+/ftx+fJlXLt2DQDw0ksv4csvv8T8+fNRXl6OyspKfPrppyw2QUSkAEykiIjIbnx8fJCVlYWVK1fi8ccfR79+/bB06VLMnj0b7777rtzu97//PXbt2oXo6Gh5FGjFihUICAjAo48+ivHjxyMvLw8ZGRl3PaebmxveeecdrF69GhEREUYJmzk5OTkIDw9H//798atf/Qqpqak4fvw4Ro0aJbexJpbXX38d1dXV6NOnD4KDgwEAAwYMwL59+/Dtt99i+PDhGDRoEF599VVERERYfQ2JiMg+WLWPiIiIiIjIRhyRIiIiIiIishETKSIiIiIiIhsxkSIiIiIiIrIREykiIiIiIiIbMZEiIiIiIiKyERMpIiIiIiIiGzGRIiIiIiIishETKSIiIiIiIhsxkSIiIiIiIrIREykiIiIiIiIbMZEiIiIiIiKy0f8Dp9y5ChNioMEAAAAASUVORK5CYII=",
            "text/plain": [
              "<Figure size 1000x600 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "# Convert 'START_DATE' and 'END_DATE' columns to datetime objects with inferred format\n",
        "data['START_DATE'] = pd.to_datetime(data['START_DATE'], errors='coerce')\n",
        "data['END_DATE'] = pd.to_datetime(data['END_DATE'], errors='coerce')\n",
        "\n",
        "data['DURATION'] = (data['END_DATE'] - data['START_DATE']).dt.total_seconds() / 60\n",
        "\n",
        "max_peak_time = data.loc[data['DURATION'].idxmax()]['START_DATE']\n",
        "min_peak_time = data.loc[data['DURATION'].idxmin()]['START_DATE']\n",
        "\n",
        "plt.figure(figsize=(10, 6))\n",
        "sns.lineplot(x='START_DATE', y='DURATION', data=data, label='Duration of Rides')\n",
        "plt.scatter([max_peak_time, min_peak_time], [data['DURATION'].max(), data['DURATION'].min()], color='red', label='Peak Times')\n",
        "plt.title('Peak Times Analysis')\n",
        "plt.xlabel('Start Date')\n",
        "plt.ylabel('Duration (minutes)')\n",
        "plt.legend()\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## WEEKDAYS VS WEEKENDS RIDES"
      ],
      "metadata": {
        "id": "Ivk5DFb65vcr"
      },
      "id": "Ivk5DFb65vcr"
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "9d4aab8f-bee0-4f99-8521-0bb45d84be71",
      "metadata": {
        "id": "9d4aab8f-bee0-4f99-8521-0bb45d84be71",
        "outputId": "bd54a302-49d9-4752-e442-6dce031161b2"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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            "text/plain": [
              "<Figure size 3000x1500 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "# Convert 'START_DATE' to datetime and extract the week\n",
        "data['START_DATE'] = pd.to_datetime(data['START_DATE'])\n",
        "data['Week'] = data['START_DATE'].dt.strftime('%Y-%U')\n",
        "\n",
        "# Calculate the number of rides per week\n",
        "weekly_rides = data['Week'].value_counts().sort_index()\n",
        "\n",
        "# Plot the weekly trends\n",
        "plt.figure(figsize=(30, 15))\n",
        "sns.lineplot(x=weekly_rides.index, y=weekly_rides.values, marker='o', color='blue')\n",
        "plt.title('Weekly Trends in Ride Data')\n",
        "plt.xlabel('Week')\n",
        "plt.ylabel('Number of Rides')\n",
        "plt.grid(True)\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "The chart illustrates fluctuations in the number of rides throughout the year. Notably, there was a surge from the first to the fifth week, followed by a slight decline in week 6. Subsequently, rides increased until the 9th week, experiencing a gradual decrease in week 10. The downward trend continued until week 13, with a minor upturn in week 14 before dropping in week 15, nearly equaling the count in the first week. A sharp rise occurred from week 15 to 18, abruptly dropping in week 19. A slight increase transpired in week 22, reaching the peak in week 23, followed by a sudden decline. The subsequent weeks, starting from 24, witnessed a gradual increase until week 31, which marked the lowest ride count. Weeks 31 to 32 showed a slight rise, with a minor dip in week 41. Weeks 41 to 45 exhibited a gradual increase, followed by a slight decrease from 45 to 48. The period from 48 to 49 saw a gradual rise, while rides decreased from week 49 to week 50.\n",
        "\n",
        "The observed patterns in ride distribution throughout the year suggest varying demand trends. Peaks and troughs indicate periods of increased or decreased ride requests, potentially influenced by external factors such as seasons, holidays, or local events. Understanding these fluctuations can help optimize resource allocation and improve service efficiency. Recommendations include implementing targeted marketing or promotions during peak periods to capitalize on increased demand. Additionally, optimizing staffing levels during expected high-demand periods and strategizing for lulls can enhance operational efficiency. Regularly analyzing and adapting to these trends will contribute to better service planning and customer satisfaction\n"
      ],
      "metadata": {
        "id": "IagWYFVi6Cxp"
      },
      "id": "IagWYFVi6Cxp"
    },
    {
      "cell_type": "markdown",
      "source": [
        "The overall trend indicates that the majority of rides occur between 12:00 and 18:00, with the highest peak observed at 20:00. Conversely, the periods between 1:00 to 2:00 and 5:00 to 6:00 experience the least ride activity. Notably, there are no recorded rides at 4:00. This information can guide operational decisions, such as optimizing driver availability during peak hours and potentially offering incentives for drivers during periods of lower demand. Adjusting marketing strategies and service promotions to align with these peak and off-peak hours can enhance the efficiency of the ride-sharing service.\n"
      ],
      "metadata": {
        "id": "Cz05PfegIjYE"
      },
      "id": "Cz05PfegIjYE"
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "17894fcc-7796-4bc7-839a-291e925f33d3",
      "metadata": {
        "id": "17894fcc-7796-4bc7-839a-291e925f33d3",
        "outputId": "40111e7e-1036-4fbb-9431-496007078e8d"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 1200x600 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "# Convert 'START_DATE' to datetime\n",
        "data['START_DATE'] = pd.to_datetime(data['START_DATE'])\n",
        "\n",
        "# Extract date from the start time\n",
        "data['Date'] = data['START_DATE'].dt.date\n",
        "\n",
        "# Convert 'Date' to datetime\n",
        "data['Date'] = pd.to_datetime(data['Date'])\n",
        "\n",
        "# Calculate the average number of rides for each day of the month\n",
        "average_rides_per_day = data.groupby(data['Date'].dt.day)['Date'].count().mean()\n",
        "\n",
        "# Plot the average rides for each day of the month\n",
        "plt.figure(figsize=(12, 6))\n",
        "sns.barplot(x=data['Date'].dt.day, y=data.groupby(data['Date'].dt.day)['Date'].count(), color='skyblue')\n",
        "plt.axhline(y=average_rides_per_day, color='orange', linestyle='--', label='Average Daily Rides')\n",
        "plt.title('Average Rides for Each Day of the Month')\n",
        "plt.xlabel('Day of the Month')\n",
        "plt.ylabel('Number of Rides')\n",
        "plt.legend()\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Average daily rides is about 22 rides. Most rides occuring on the 6th day of the month."
      ],
      "metadata": {
        "id": "qdeUJk-KJXJk"
      },
      "id": "qdeUJk-KJXJk"
    },
    {
      "cell_type": "code",
      "source": [
        "# Assuming 'START_DATE' is the column with datetime information\n",
        "data['START_DATE'] = pd.to_datetime(data['START_DATE'])\n",
        "\n",
        "# Create a new column for the month\n",
        "data['MONTH'] = data['START_DATE'].dt.month\n",
        "\n",
        "# Plot the number of rides for each month\n",
        "plt.figure(figsize=(10, 6))\n",
        "sns.countplot(x='MONTH', data=data, palette='viridis')\n",
        "plt.title('Number of Rides by Month')\n",
        "plt.xlabel('Month')\n",
        "plt.ylabel('Number of Rides')\n",
        "plt.show()\n"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 564
        },
        "id": "RUV76Bzk2-_6",
        "outputId": "2a68f3cf-643c-4ff8-ef34-c451ab69b4af"
      },
      "id": "RUV76Bzk2-_6",
      "execution_count": 6,
      "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": [
        "The analysis of ride frequency by month reveals that December has the highest number of rides, followed by February, June, March, November, January, April, May, and July. Notably, October and August have fewer rides, and there were no recorded rides for September. The presence of null values in September may have led to the exclusion of data for that month. Understanding these monthly patterns can inform business strategies, allowing for targeted promotions or incentives during months with lower ride activity and ensuring preparedness for increased demand during peak months like December.\n"
      ],
      "metadata": {
        "id": "0wgTqF6hJoFm"
      },
      "id": "0wgTqF6hJoFm"
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "7351e190-c3f9-463c-9872-e5c76fdbb3db",
      "metadata": {
        "id": "7351e190-c3f9-463c-9872-e5c76fdbb3db",
        "outputId": "99c173f5-4dda-4589-c019-510984f96f48"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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            "text/plain": [
              "<Figure size 1200x800 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "8# Group by start and stop locations and count the number of occurrences\n",
        "route_counts = data.groupby(['START', 'STOP']).size().reset_index(name='Count')\n",
        "\n",
        "# Combine 'START' and 'STOP' columns into a new column 'Route'\n",
        "route_counts['Route'] = route_counts['START'] + ' - ' + route_counts['STOP']\n",
        "\n",
        "# Sort routes by count in descending order to find the most taken paths\n",
        "most_taken_routes = route_counts.sort_values(by='Count', ascending=False)\n",
        "\n",
        "# Plot the top N routes (adjust N as needed)\n",
        "top_n = 10\n",
        "plt.figure(figsize=(12, 8))\n",
        "sns.barplot(x='Count', y='Route', data=most_taken_routes.head(top_n))\n",
        "plt.title(f'Top {top_n} Most Taken Paths or Routes')\n",
        "plt.xlabel('Number of Rides')\n",
        "plt.ylabel('Start - Stop Route')\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "e6fa343d-bf66-4b80-9d26-bd3acfc50eaa",
      "metadata": {
        "id": "e6fa343d-bf66-4b80-9d26-bd3acfc50eaa",
        "outputId": "db6b6bff-90dd-401b-fad1-af6f5763f318"
      },
      "outputs": [
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "/tmp/ipykernel_732/1857854067.py:12: FutureWarning: \n",
            "\n",
            "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `y` variable to `hue` and set `legend=False` for the same effect.\n",
            "\n",
            "  sns.barplot(x='Count', y='Stop Location', data=top_10_stops, palette='viridis')\n"
          ]
        },
        {
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",
            "text/plain": [
              "<Figure size 1000x600 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "# Count the number of occurrences for each stop location\n",
        "stop_counts = data['STOP'].value_counts().reset_index(name='Count')\n",
        "\n",
        "# Rename the columns for clarity\n",
        "stop_counts.columns = ['Stop Location', 'Count']\n",
        "\n",
        "# Sort stop locations by count in descending order\n",
        "top_10_stops = stop_counts.sort_values(by='Count', ascending=False).head(10)\n",
        "\n",
        "# Plot the top 10 stop locations\n",
        "plt.figure(figsize=(10, 6))\n",
        "sns.barplot(x='Count', y='Stop Location', data=top_10_stops, palette='viridis')\n",
        "\n",
        "plt.title('Top 10 Stop Locations with the Most Rides')\n",
        "plt.xlabel('Number of Rides')\n",
        "plt.ylabel('Stop Location')\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "This shoes the loaction with most rides to be Cary and the least is Berkeley."
      ],
      "metadata": {
        "id": "qP_MRWr7Kqyd"
      },
      "id": "qP_MRWr7Kqyd"
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "b9b6c5b0-9545-409e-a256-ceccd8238c73",
      "metadata": {
        "id": "b9b6c5b0-9545-409e-a256-ceccd8238c73",
        "outputId": "c0b60740-124f-4f48-8194-dd4723fbbf19"
      },
      "outputs": [
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "/tmp/ipykernel_732/3031898722.py:9: FutureWarning: \n",
            "\n",
            "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `x` variable to `hue` and set `legend=False` for the same effect.\n",
            "\n",
            "  sns.countplot(x='Hour', data=data, palette='viridis')\n"
          ]
        },
        {
          "data": {
            "image/png": 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9+OOPGjp0aJIjI9LC5hXtM/q7kpCQoCpVqqR4C6/Q0NDMCZiJUvu+En92jz32WIr/bKtateotZUg8B7xMmTKS0rc9N2vWTHfccYfef/991a9fX++//76Cg4NT/QcSALgrCjkAuImXXnpJ77//viZMmJBkXOIe2MQLPSVK3MuWFRL3gCcyxujgwYPOP8YTD3sNCAjI9D+GS5QooX379iUZnngodIkSJTJtWU8++aSmTJmil156SQ899FCK//xIXOaBAwdcbrV15syZJHtxS5curYsXL6Zpvfj4+KhVq1Zq1aqVEhIS1KdPH73zzjsaMWKEs7D80yeffCI/Pz+tXr3a5T7pERERSabNjD3m/7RhwwadPXtWS5cuVf369Z3Do6KiXKZL3EZ2796dIwtT6dKl9dNPP6lRo0bpXs+J29O+ffuch7gn2rdvX4a38Vv9eRcuXFh58+ZVfHx8lvzMLl68qGXLlik0NNR5xEt6tmdPT089+uijmjt3riZMmKDly5erV69et+0tCgH8+3EOOQC4idKlS+uxxx7TO++8o5MnT7qMCwgIUKFChZJcDf2tt97Ksjzz5893Ocfz448/1okTJ9SiRQtJUnh4uEqXLq2JEyc6D0G90ZkzZzK87AcffFBbt25VZGSkc1hcXJxmzZqlkiVLupzLfKu8vLz07LPPau/evfr0009TnK5x48by9vbW9OnTXfaSJnfV6fbt2ysyMlKrV69OMi46Otp5tfJ/nirg4eHh/IfHzW6b5enpKYfD4XKExOHDh7V8+fIk0+bOnTvJP3JuVWL5uXE9XL16Ncn2WLNmTYWFhWnq1KlJMmTkqAx30759ex0/flyzZ89OMu7y5ctJrr5/o1q1aikoKEhvv/22y8965cqV2rt3r1q2bJmhTInnUWf0Z+7p6amHH35Yn3zySZKrmUu39nt9+fJldenSRefOndOLL77o/OdBerZn6e+rrZ8/f15PPvmkLl68yNXVAfyrsYccANzIiy++qAULFmjfvn2qVKmSy7gnnnhC48eP1xNPPKFatWpp06ZN2r9/f5ZlKVCggO677z716NFDp06d0tSpU1WmTBnn7co8PDz07rvvqkWLFqpUqZJ69OihokWL6vjx41q/fr0CAgL0+eefZ2jZw4YN00cffaQWLVqof//+KlCggObNm6eoqCh98sknqZ7vnV7du3fXyJEjNWHCBLVt2zbZaRLviz1u3Dj95z//0YMPPqgdO3Zo5cqVSc41fv755/XZZ5/pP//5j7p3767w8HDFxcXp559/1scff6zDhw+rUKFCeuKJJ3Tu3Dk98MADKlasmI4cOaLp06erevXqzr2HyWnZsqUmT56s5s2b69FHH9Xp06c1Y8YMlSlTRrt27XKZNjw8XGvXrtXkyZMVEhKisLCwZM/Pv9GPP/6o999/P8nw0qVLq06dOqpbt67y58+vbt26qX///nI4HFqwYEGSku3h4aGZM2eqVatWql69unr06KEiRYro119/1S+//JLsPyz+Tbp06aLFixfrqaee0vr163XvvfcqPj5ev/76qxYvXqzVq1erVq1ayb7W29tbEyZMUI8ePdSgQQN16tRJp06d0rRp01SyZEkNGjQoQ5nCw8Ml/f1e0rFjR3l7e6tVq1bpuuDZ+PHjtX79etWuXVu9evVSxYoVde7cOf34449au3atzp07l+o8jh8/7tyGLl68qD179mjJkiU6efKknn32WZdbt6Vne5akGjVqqHLlys6L6tWsWTPN3xsAuB0r13YHgNvczW5jlHgLqBtve2bM37cF6tmzpwkMDDR58+Y17du3N6dPn07xVk5nzpxJMt/cuXMnWd4/b7GWeNuzjz76yAwfPtwEBQUZf39/07JlS3PkyJEkr9+xY4dp166dKViwoPH19TUlSpQw7du3N+vWrUs1080cOnTI/Pe//zX58uUzfn5+5u677zYrVqxIMp3SeduzlKYdPXq0kWTWr19vjEl62zNjjImPjzcvv/yyKVKkiPH39zcNGzY0u3fvNiVKlEhyq60LFy6Y4cOHmzJlyhgfHx9TqFAhU7duXTNx4kRz9epVY4wxH3/8sWnatKkJCgoyPj4+pnjx4ubJJ580J06cSPV7mTNnjilbtqzx9fU1FSpUMBEREc71fKNff/3V1K9f3/j7+ye5Pds/pXbbsxtfu3nzZnPPPfcYf39/ExISYoYMGWJWr17tsg4Tffvtt6ZJkyYmb968Jnfu3KZq1aout9lKadtM7vtJTUZue5bR3xVj/r4914QJE0ylSpWMr6+vyZ8/vwkPDzcvv/yyiYmJSTXvokWLTI0aNYyvr68pUKCA6dy5s/n9999dpknPbc+M+fu2e0WLFjUeHh4u23BK239y2++pU6dM3759TWhoqPH29jbBwcGmUaNGZtasWakuv0SJEs5txuFwmICAAFOpUiXTq1cvs2XLlmRfk9btOdHrr79uJJmxY8emmgcA3JnDmBxwzBgAAABuG9OmTdOgQYN0+PDhZK8cDwD/FhRyAAAA/GsYY1StWjUVLFjwpvd6B4B/A84hBwAAgNuLi4vTZ599pvXr1+vnn3++6UUYAeDfgj3kAAAAcHuHDx9WWFiY8uXLpz59+ui1116zHQkAbhmFHAAAAAAAC7gPOQAAAAAAFlDIAQAAAACwIMdf1C0hIUF//PGH8ubNK4fDYTsOAAAAACCHM8bowoULCgkJkYdHyvvBc3wh/+OPPxQaGmo7BgAAAADgNnPs2DEVK1YsxfE5vpDnzZtX0t8rIiAgwHIaAAAAAEBOFxsbq9DQUGcfTUmOL+SJh6kHBARQyAEAAAAA2Sa106a5qBsAAAAAABZQyAEAAAAAsIBCDgAAAACABRRyAAAAAAAsoJADAAAAAGABhRwAAAAAAAso5AAAAAAAWEAhBwAAAADAAgo5AAAAAAAWUMgBAAAAALCAQg4AAAAAgAUUcgAAAAAALKCQAwAAAABgAYUcAAAAAAALKOQAAAAAAFhAIQcAAAAAwAIKOQAAAAAAFlDIAQAAAACwgEIOAAAAAIAFXrYDAAAAuLOaM0ZaXf6PfcdYXT6QE0zd3MF2BA28d5HtCHBD7CEHAAAAAMACCjkAAAAAABZQyAEAAAAAsIBCDgAAAACABRRyAAAAAAAsoJADAAAAAGABhRwAAAAAAAso5AAAAAAAWEAhBwAAAADAAgo5AAAAAAAWUMgBAAAAALCAQg4AAAAAgAUUcgAAAAAALKCQAwAAAABgAYUcAAAAAAALKOQAAAAAAFhAIQcAAAAAwAIKOQAAAAAAFlDIAQAAAACwwMt2AAAAcPuqNnG07Qj66Tn7GQAAtyf2kAMAAAAAYAGFHAAAAAAACyjkAAAAAABYQCEHAAAAAMACCjkAAAAAABZQyAEAAAAAsIBCDgAAAACABRRyAAAAAAAsoJADAAAAAGABhRwAAAAAAAso5AAAAAAAWEAhBwAAAADAAgo5AAAAAAAWUMgBAAAAALCAQg4AAAAAgAVWC/m4ceN01113KW/evAoKClLbtm21b98+l2n++usv9e3bVwULFlSePHn08MMP69SpU5YSAwAAAACQOawW8o0bN6pv3776/vvvtWbNGl27dk1NmzZVXFycc5pBgwbp888/15IlS7Rx40b98ccfateuncXUAAAAAADcOi+bC1+1apXL87lz5yooKEjbt29X/fr1FRMTozlz5ujDDz/UAw88IEmKiIjQnXfeqe+//1733HOPjdgAAAAAANwytzqHPCYmRpJUoEABSdL27dt17do1NW7c2DlNhQoVVLx4cUVGRiY7jytXrig2NtblAQAAAACAu7G6h/xGCQkJGjhwoO69915VrlxZknTy5En5+PgoX758LtPecccdOnnyZLLzGTdunF5++eWsjgsAAIA0aLpwuO0I+qrjONsRACBZbrOHvG/fvtq9e7cWLlx4S/MZPny4YmJinI9jx45lUkIAAAAAADKPW+wh79evn1asWKFNmzapWLFizuHBwcG6evWqoqOjXfaSnzp1SsHBwcnOy9fXV76+vlkdGQAAAACAW2J1D7kxRv369dOyZcv09ddfKywszGV8eHi4vL29tW7dOuewffv26ejRo6pTp052xwUAAAAAINNY3UPet29fffjhh/r000+VN29e53nhgYGB8vf3V2BgoHr27KnBgwerQIECCggI0DPPPKM6depwhXUAAAAAwL+a1UI+c+ZMSVLDhg1dhkdERKh79+6SpClTpsjDw0MPP/ywrly5ombNmumtt97K5qQAAAAAAGQuq4XcGJPqNH5+fpoxY4ZmzJiRDYkAAAAAAMgebnOVdQAAAAAAbicUcgAAAAAALKCQAwAAAABgAYUcAAAAAAALKOQAAAAAAFhAIQcAAAAAwAIKOQAAAAAAFlDIAQAAAACwgEIOAAAAAIAFFHIAAAAAACygkAMAAAAAYAGFHAAAAAAACyjkAAAAAABY4GU7AAAAyDrVXx1tdfk7X7K7/NtB3YiXrC7/ux6vWl3+7eCZdQNsR9D0RtNsRwByJPaQAwAAAABgAYUcAAAAAAALKOQAAAAAAFhAIQcAAAAAwAIKOQAAAAAAFlDIAQAAAACwgEIOAAAAAIAFFHIAAAAAACygkAMAAAAAYAGFHAAAAAAACyjkAAAAAABYQCEHAAAAAMACCjkAAAAAABZQyAEAAAAAsIBCDgAAAACABRRyAAAAAAAsoJADAAAAAGABhRwAAAAAAAso5AAAAAAAWOBlOwAAAABgU8fPnre6/IWt37C6fAD2sIccAAAAAAALKOQAAAAAAFhAIQcAAAAAwAIKOQAAAAAAFlDIAQAAAACwgEIOAAAAAIAFFHIAAAAAACygkAMAAAAAYAGFHAAAAAAACyjkAAAAAABYQCEHAAAAAMACCjkAAAAAABZQyAEAAAAAsIBCDgAAAACABRRyAAAAAAAsoJADAAAAAGABhRwAAAAAAAso5AAAAAAAWEAhBwAAAADAAgo5AAAAAAAWUMgBAAAAALCAQg4AAAAAgAUUcgAAAAAALKCQAwAAAABgAYUcAAAAAAALKOQAAAAAAFhAIQcAAAAAwAIKOQAAAAAAFlDIAQAAAACwgEIOAAAAAIAFFHIAAAAAACygkAMAAAAAYAGFHAAAAAAACyjkAAAAAABYQCEHAAAAAMACCjkAAAAAABZQyAEAAAAAsIBCDgAAAACABRRyAAAAAAAs8LIdAAAAAABud+9/38zq8h+7Z7XV5d+u2EMOAAAAAIAFFHIAAAAAACygkAMAAAAAYAGFHAAAAAAACyjkAAAAAABYQCEHAAAAAMACCjkAAAAAABZQyAEAAAAAsIBCDgAAAACABRRyAAAAAAAsoJADAAAAAGABhRwAAAAAAAso5AAAAAAAWEAhBwAAAADAAgo5AAAAAAAWWC3kmzZtUqtWrRQSEiKHw6Hly5e7jO/evbscDofLo3nz5nbCAgAAAACQiawW8ri4OFWrVk0zZsxIcZrmzZvrxIkTzsdHH32UjQkBAAAAAMgaXjYX3qJFC7Vo0eKm0/j6+io4ODibEgEAAAAAkD3c/hzyDRs2KCgoSOXLl9fTTz+ts2fP3nT6K1euKDY21uUBAAAAAIC7cetC3rx5c82fP1/r1q3ThAkTtHHjRrVo0ULx8fEpvmbcuHEKDAx0PkJDQ7MxMQAAAAAAaWP1kPXUdOzY0fl1lSpVVLVqVZUuXVobNmxQo0aNkn3N8OHDNXjwYOfz2NhYSjkAAAAAwO249R7yfypVqpQKFSqkgwcPpjiNr6+vAgICXB4AAAAAALibf1Uh//3333X27FkVKVLEdhQAAAAAAG6J1UPWL1686LK3OyoqSjt37lSBAgVUoEABvfzyy3r44YcVHBysQ4cOaciQISpTpoyaNWtmMTUAAAAAALfOaiHftm2b7r//fufzxHO/u3XrppkzZ2rXrl2aN2+eoqOjFRISoqZNm+qVV16Rr6+vrcgAAAAAAGQKq4W8YcOGMsakOH716tXZmAYAAAAAgOzzrzqHHAAAAACAnIJCDgAAAACABRRyAAAAAAAsoJADAAAAAGABhRwAAAAAAAtuuZDHxsZq+fLl2rt3b2bkAQAAAADgtpDuQt6+fXv973//kyRdvnxZtWrVUvv27VW1alV98sknmR4QAAAAAICcKN2FfNOmTapXr54kadmyZTLGKDo6Wm+++aZeffXVTA8IAAAAAEBOlO5CHhMTowIFCkiSVq1apYcffli5cuVSy5YtdeDAgUwPCAAAAABATpTuQh4aGqrIyEjFxcVp1apVatq0qSTp/Pnz8vPzy/SAAAAAAADkRF7pfcHAgQPVuXNn5cmTR8WLF1fDhg0l/X0oe5UqVTI7HwAAAAAAOVK6C3mfPn10991369ixY2rSpIk8PP7eyV6qVCnOIQcAAAAAII3SXcglqVatWqpataqioqJUunRpeXl5qWXLlpmdDQAAAACAHCvdhfzSpUt65plnNG/ePEnS/v37VapUKT3zzDMqWrSohg0blukhAQAAALivEZt6WV3+K/VnW10+kFHpvqjb8OHD9dNPP2nDhg0uF3Fr3LixFi1alKnhAAAAAADIqdK9h3z58uVatGiR7rnnHjkcDufwSpUq6dChQ5kaDgAAAACAnCrde8jPnDmjoKCgJMPj4uJcCjoAAAAAAEhZugt5rVq19MUXXzifJ5bwd999V3Xq1Mm8ZAAAAAAA5GDpPmR97NixatGihfbs2aPr169r2rRp2rNnj7777jtt3LgxKzICAAAAAJDjpHsP+X333aedO3fq+vXrqlKlir766isFBQUpMjJS4eHhWZERAAAAAIAcJ0P3IS9durRmz+bWAgAAAAAAZFSaCnlsbGyaZxgQEJDhMAAAAAAA3C7SVMjz5cuX5iuox8fH31IgAAAAAABuB2kq5OvXr3d+ffjwYQ0bNkzdu3d3XlU9MjJS8+bN07hx47ImJQAAAAAAOUyaCnmDBg2cX48ZM0aTJ09Wp06dnMNat26tKlWqaNasWerWrVvmpwQAAAAAIIdJ91XWIyMjVatWrSTDa9Wqpa1bt2ZKKAAAAAAAcrp0F/LQ0NBkr7D+7rvvKjQ0NFNCAQAAAACQ06X7tmdTpkzRww8/rJUrV6p27dqSpK1bt+rAgQP65JNPMj0gAAAAAAA5Ubr3kD/44IPav3+/WrVqpXPnzuncuXNq1aqV9u/frwcffDArMgIAAAAAkOOkew+59Pdh62PHjs3sLAAAAAAA3DbSVMh37dqlypUry8PDQ7t27brptFWrVs2UYAAAAAAA5GRpKuTVq1fXyZMnFRQUpOrVq8vhcMgYk2Q6h8Oh+Pj4TA8JAAAAAEBOk6ZCHhUVpcKFCzu/BgAAAAAAtyZNhbxEiRLJfv1Ply9fvvVEAAAAAADcBtJ9lfXkXLlyRZMmTVJYWFhmzA4AAAAAgBwvzYX8ypUrGj58uGrVqqW6detq+fLlkqSIiAiFhYVp6tSpGjRoUFblBAAAAAAgR0nzbc9Gjhypd955R40bN9Z3332nRx55RD169ND333+vyZMn65FHHpGnp2dWZgUAAAAAIMdIcyFfsmSJ5s+fr9atW2v37t2qWrWqrl+/rp9++kkOhyMrMwIAAAAAkOOk+ZD133//XeHh4ZKkypUry9fXV4MGDaKMAwAAAACQAWku5PHx8fLx8XE+9/LyUp48ebIkFAAAAAAAOV2aD1k3xqh79+7y9fWVJP3111966qmnlDt3bpfpli5dmrkJAQAAAADIgdJcyLt16+by/LHHHsv0MAAAAAAA3C7SXMgjIiKyMgcAAAAAALeVNJ9DDgAAAAAAMg+FHAAAAAAACyjkAAAAAABYQCEHAAAAAMCCNBXymjVr6vz585KkMWPG6NKlS1kaCgAAAACAnC5NhXzv3r2Ki4uTJL388su6ePFiloYCAAAAACCnS9Ntz6pXr64ePXrovvvukzFGEydOVJ48eZKdduTIkZkaEAAAAACAnChNhXzu3LkaNWqUVqxYIYfDoZUrV8rLK+lLHQ4HhRwAAAAAgDRIUyEvX768Fi5cKEny8PDQunXrFBQUlKXBAAAAAADIydJUyG+UkJCQFTkAAAAAALitpLuQS9KhQ4c0depU7d27V5JUsWJFDRgwQKVLl87UcACArFOn/yu2IyjyzRG2IwAAAFiT7vuQr169WhUrVtTWrVtVtWpVVa1aVVu2bFGlSpW0Zs2arMgIAAAAAECOk+495MOGDdOgQYM0fvz4JMOHDh2qJk2aZFo4AAAAAAByqnTvId+7d6969uyZZPjjjz+uPXv2ZEooAAAAAAByunQX8sKFC2vnzp1Jhu/cuZMrrwMAAAAAkEbpPmS9V69e6t27t3777TfVrVtXkrR582ZNmDBBgwcPzvSAAAAAAADkROku5CNGjFDevHk1adIkDR8+XJIUEhKi0aNHq3///pkeEAAAAACAnCjdhdzhcGjQoEEaNGiQLly4IEnKmzdvpgcDAAAAACAny9B9yBNRxAEAAAAAyJh0X9QNAAAAAADcOgo5AAAAAAAWUMgBAAAAALAgXYX82rVratSokQ4cOJBVeQAAAAAAuC2kq5B7e3tr165dWZUFAAAAAIDbRroPWX/sscc0Z86crMgCAAAAAMBtI923Pbt+/bree+89rV27VuHh4cqdO7fL+MmTJ2daOAAAAAAAcqp0F/Ldu3erZs2akqT9+/e7jHM4HJmTCgAAAACAHC7dhXz9+vVZkQMAAAAAgNtKhm97dvDgQa1evVqXL1+WJBljMi0UAAAAAAA5XboL+dmzZ9WoUSOVK1dODz74oE6cOCFJ6tmzp5599tlMDwgAAAAAQE6U7kPWBw0aJG9vbx09elR33nmnc3iHDh00ePBgTZo0KVMDAgAAAACQmm3bwq0uv1at7el+TboL+VdffaXVq1erWLFiLsPLli2rI0eOpDsAAAAAAAC3o3Qfsh4XF6dcuXIlGX7u3Dn5+vpmSigAAAAAAHK6dBfyevXqaf78+c7nDodDCQkJev3113X//fdnajgAAAAAAHKqdB+y/vrrr6tRo0batm2brl69qiFDhuiXX37RuXPntHnz5qzICAAAAABAjpPuPeSVK1fW/v37dd9996lNmzaKi4tTu3bttGPHDpUuXTorMgIAAAAAkOOkew+5JAUGBurFF1/M7CwAAAAAANw2MlTIz58/rzlz5mjv3r2SpIoVK6pHjx4qUKBApoYDAAAAACCnSvch65s2bVLJkiX15ptv6vz58zp//rzefPNNhYWFadOmTVmREQAAAACAHCfde8j79u2rDh06aObMmfL09JQkxcfHq0+fPurbt69+/vnnTA8JAAAAAEBOk+495AcPHtSzzz7rLOOS5OnpqcGDB+vgwYOZGg4AAAAAgJwq3YW8Zs2aznPHb7R3715Vq1YtU0IBAAAAAJDTpemQ9V27djm/7t+/vwYMGKCDBw/qnnvukSR9//33mjFjhsaPH581KQEAAAAAyGHSVMirV68uh8MhY4xz2JAhQ5JM9+ijj6pDhw6Zlw4AAAAAgBwqTYU8Kioqq3MAAAAAAHBbSVMhL1GiRFbnAAAAAADgtpLu255J0h9//KFvv/1Wp0+fVkJCgsu4/v37p3k+mzZt0htvvKHt27frxIkTWrZsmdq2bescb4zRqFGjNHv2bEVHR+vee+/VzJkzVbZs2YzEBgAAAADAbaS7kM+dO1dPPvmkfHx8VLBgQTkcDuc4h8ORrkIeFxenatWq6fHHH1e7du2SjH/99df15ptvat68eQoLC9OIESPUrFkz7dmzR35+fumNDgAAAACA20h3IR8xYoRGjhyp4cOHy8Mj3XdNc9GiRQu1aNEi2XHGGE2dOlUvvfSS2rRpI0maP3++7rjjDi1fvlwdO3a8pWUDAAAAAGBTuhv1pUuX1LFjx1su46mJiorSyZMn1bhxY+ewwMBA1a5dW5GRkSm+7sqVK4qNjXV5AAAAAADgbtLdqnv27KklS5ZkRRYXJ0+elCTdcccdLsPvuOMO57jkjBs3ToGBgc5HaGholuYEAAAAACAj0n3I+rhx4/Sf//xHq1atUpUqVeTt7e0yfvLkyZkWLiOGDx+uwYMHO5/HxsZSygEAAAAAbidDhXz16tUqX768JCW5qFtmCQ4OliSdOnVKRYoUcQ4/deqUqlevnuLrfH195evrm2k5AAAAAADICuku5JMmTdJ7772n7t27Z0Gc/xMWFqbg4GCtW7fOWcBjY2O1ZcsWPf3001m6bAAAAAAAslq6C7mvr6/uvffeTFn4xYsXdfDgQefzqKgo7dy5UwUKFFDx4sU1cOBAvfrqqypbtqzztmchISEu9yoHAAAAAODfKN0XdRswYICmT5+eKQvftm2batSooRo1akiSBg8erBo1amjkyJGSpCFDhuiZZ55R7969ddddd+nixYtatWoV9yAHAAAAAPzrpXsP+datW/X1119rxYoVqlSpUpKLui1dujTN82rYsKGMMSmOdzgcGjNmjMaMGZPemAAAAAAAuLV0F/J8+fKpXbt2WZEFAAAAAIDbRroLeURERFbkAAAAAADgtpLuc8gBAAAAAMCtS/ce8rCwsJveb/y33367pUAAAAAAANwO0l3IBw4c6PL82rVr2rFjh1atWqXnn38+s3IBAAAAAJCjpbuQDxgwINnhM2bM0LZt2245EAAAAAAAt4NMO4e8RYsW+uSTTzJrdgAAAAAA5GiZVsg//vhjFShQILNmBwAAAABAjpbuQ9Zr1KjhclE3Y4xOnjypM2fO6K233srUcAAAAAAA5FTpLuRt27Z1ee7h4aHChQurYcOGqlChQmblAgAAAAAgR0t3IR81alRW5AAAAAAA4LaSaeeQAwAAAACAtEvzHnIPDw+Xc8eT43A4dP369VsOBQAAAABATpfmQr5s2bIUx0VGRurNN99UQkJCpoQCgJyg3pOvWF3+N++MsLp8AACQc6zcUsfq8lvUjrS6/KyS5kLepk2bJMP27dunYcOG6fPPP1fnzp01ZsyYTA0HAAAAAEBOlaFzyP/44w/16tVLVapU0fXr17Vz507NmzdPJUqUyOx8AAAAAADkSOkq5DExMRo6dKjKlCmjX375RevWrdPnn3+uypUrZ1U+AAAAAABypDQfsv76669rwoQJCg4O1kcffZTsIewAAAAAACBt0lzIhw0bJn9/f5UpU0bz5s3TvHnzkp1u6dKlmRYOAAAAAICcKs2FvGvXrqne9gwAAAAAAKRNmgv53LlzszAGAAAAAAC3lwxdZR0AAAAAANwaCjkAAAAAABZQyAEAAAAAsIBCDgAAAACABRRyAAAAAAAsoJADAAAAAGABhRwAAAAAAAso5AAAAAAAWEAhBwAAAADAAgo5AAAAAAAWUMgBAAAAALCAQg4AAAAAgAVetgMAAJCSu59/xeryt74xwuryAQBAzsYecgAAAAAALKCQAwAAAABgAYUcAAAAAAALKOQAAAAAAFhAIQcAAAAAwAIKOQAAAAAAFlDIAQAAAACwgEIOAAAAAIAFFHIAAAAAACygkAMAAAAAYAGFHAAAAAAACyjkAAAAAABYQCEHAAAAAMACCjkAAAAAABZQyAEAAAAAsIBCDgAAAACABRRyAAAAAAAsoJADAAAAAGABhRwAAAAAAAu8bAewoUnRTlaXv+b4R1aXDwDIHDVfGmM7gn58daTtCAAAIIPYQw4AAAAAgAUUcgAAAAAALKCQAwAAAABgAYUcAAAAAAALKOQAAAAAAFhAIQcAAAAAwAIKOQAAAAAAFlDIAQAAAACwgEIOAAAAAIAFFHIAAAAAACygkAMAAAAAYAGFHAAAAAAACyjkAAAAAABYQCEHAAAAAMACCjkAAAAAABZQyAEAAAAAsIBCDgAAAACABRRyAAAAAAAsoJADAAAAAGABhRwAAAAAAAso5AAAAAAAWEAhBwAAAADAAgo5AAAAAAAWUMgBAAAAALCAQg4AAAAAgAUUcgAAAAAALKCQAwAAAABgAYUcAAAAAAALKOQAAAAAAFhAIQcAAAAAwAIKOQAAAAAAFlDIAQAAAACwgEIOAAAAAIAFFHIAAAAAACygkAMAAAAAYIFbF/LRo0fL4XC4PCpUqGA7FgAAAAAAt8zLdoDUVKpUSWvXrnU+9/Jy+8gAAAAAAKTK7dutl5eXgoODbccAAAAAACBTufUh65J04MABhYSEqFSpUurcubOOHj160+mvXLmi2NhYlwcAAAAAAO7GrQt57dq1NXfuXK1atUozZ85UVFSU6tWrpwsXLqT4mnHjxikwMND5CA0NzcbEAAAAAACkjVsX8hYtWuiRRx5R1apV1axZM3355ZeKjo7W4sWLU3zN8OHDFRMT43wcO3YsGxMDAAAAAJA2bn8O+Y3y5cuncuXK6eDBgylO4+vrK19f32xMBQAAAABA+rn1HvJ/unjxog4dOqQiRYrYjgIAAAAAwC1x60L+3HPPaePGjTp8+LC+++47PfTQQ/L09FSnTp1sRwMAAAAA4Ja49SHrv//+uzp16qSzZ8+qcOHCuu+++/T999+rcOHCtqMBAAAAAHBL3LqQL1y40HYEAAAAAACyhFsfsg4AAAAAQE5FIQcAAAAAwAIKOQAAAAAAFlDIAQAAAACwgEIOAAAAAIAFFHIAAAAAACygkAMAAAAAYAGFHAAAAAAACyjkAAAAAABYQCEHAAAAAMACCjkAAAAAABZQyAEAAAAAsIBCDgAAAACABRRyAAAAAAAsoJADAAAAAGABhRwAAAAAAAso5AAAAAAAWEAhBwAAAADAAgo5AAAAAAAWUMgBAAAAALCAQg4AAAAAgAUUcgAAAAAALKCQAwAAAABgAYUcAAAAAAALKOQAAAAAAFhAIQcAAAAAwAIKOQAAAAAAFlDIAQAAAACwgEIOAAAAAIAFFHIAAAAAACygkAMAAAAAYAGFHAAAAAAACyjkAAAAAABYQCEHAAAAAMACCjkAAAAAABZQyAEAAAAAsIBCDgAAAACABRRyAAAAAAAsoJADAAAAAGABhRwAAAAAAAso5AAAAAAAWEAhBwAAAADAAgo5AAAAAAAWUMgBAAAAALCAQg4AAAAAgAUUcgAAAAAALKCQAwAAAABgAYUcAAAAAAALKOQAAAAAAFhAIQcAAAAAwAIKOQAAAAAAFlDIAQAAAACwgEIOAAAAAIAFXrYDAFnhP41esB1BK9aNtR0hx3ug2ytWl//1vBFWlw8AAIB/N/aQAwAAAABgAYUcAAAAAAALKOQAAAAAAFhAIQcAAAAAwAIKOQAAAAAAFlDIAQAAAACwgEIOAAAAAIAFFHIAAAAAACygkAMAAAAAYAGFHAAAAAAACyjkAAAAAABYQCEHAAAAAMACCjkAAAAAABZQyAEAAAAAsIBCDgAAAACABRRyAAAAAAAsoJADAAAAAGABhRwAAAAAAAso5AAAAAAAWOBlOwCSalHxSdsRtHLPOzcd3/KewdmUJHlffD/Z6vIzw4OtR1td/pef3Xz5TTuMyZYcKflq0UirywcAAACyGnvIAQAAAACwgEIOAAAAAIAFFHIAAAAAACygkAMAAAAAYAGFHAAAAAAACyjkAAAAAABYQCEHAAAAAMACCjkAAAAAABZQyAEAAAAAsIBCDgAAAACABRRyAAAAAAAsoJADAAAAAGABhRwAAAAAAAso5AAAAAAAWEAhBwAAAADAgn9FIZ8xY4ZKliwpPz8/1a5dW1u3brUdCQAAAACAW+L2hXzRokUaPHiwRo0apR9//FHVqlVTs2bNdPr0advRAAAAAADIMLcv5JMnT1avXr3Uo0cPVaxYUW+//bZy5cql9957z3Y0AAAAAAAyzMt2gJu5evWqtm/fruHDhzuHeXh4qHHjxoqMjEz2NVeuXNGVK1ecz2NiYiRJsbGxzmHXE65lUeK0uTFLcq7HX82mJClLLeO161duOj6ruXs+KQ0Zr7n3Orx+7a9sSpK81PJJ0vWr7p2RfKlLLWP8Ffdeh7bzSWnI+Jd7v9fYzielIeNl916H19093yX3/xlfs5wxtXxX49x/HV6Js/v3a2r5/oqz+/e/lHrGy3HXsylJ8lLLd8nN80nSxYvx2ZAkZTdmTPzaGHPT1zhMalNY9Mcff6ho0aL67rvvVKdOHefwIUOGaOPGjdqyZUuS14wePVovv/xydsYEAAAAACCJY8eOqVixYimOd+s95BkxfPhwDR482Pk8ISFB586dU8GCBeVwOG55/rGxsQoNDdWxY8cUEBBwy/PLCu6ekXy3zt0zuns+yf0zuns+yf0zku/WuXtGd88nuX9Gd88nuX9Gd88nuX9G8t06d8/o7vmkzM9ojNGFCxcUEhJy0+ncupAXKlRInp6eOnXqlMvwU6dOKTg4ONnX+Pr6ytfX12VYvnz5Mj1bQECA225Midw9I/lunbtndPd8kvtndPd8kvtnJN+tc/eM7p5Pcv+M7p5Pcv+M7p5Pcv+M5Lt17p7R3fNJmZsxMDAw1Wnc+qJuPj4+Cg8P17p165zDEhIStG7dOpdD2AEAAAAA+Ldx6z3kkjR48GB169ZNtWrV0t13362pU6cqLi5OPXr0sB0NAAAAAIAMc/tC3qFDB505c0YjR47UyZMnVb16da1atUp33HGHlTy+vr4aNWpUksPi3Ym7ZyTfrXP3jO6eT3L/jO6eT3L/jOS7de6e0d3zSe6f0d3zSe6f0d3zSe6fkXy3zt0zuns+yV5Gt77KOgAAAAAAOZVbn0MOAAAAAEBORSEHAAAAAMACCjkAAAAAABZQyAEAAAAAsIBCnowZM2aoZMmS8vPzU+3atbV169abTr9kyRJVqFBBfn5+qlKlir788sssy7Zp0ya1atVKISEhcjgcWr58eaqv2bBhg2rWrClfX1+VKVNGc+fOzbJ848aN01133aW8efMqKChIbdu21b59+1J9XXauw5kzZ6pq1aoKCAhQQECA6tSpo5UrV7pNvtGjR8vhcLg8KlSo4Db5JOn48eN67LHHVLBgQfn7+6tKlSratm3bTV+TndthyZIlk6xDh8Ohvn37pvia7FyH8fHxGjFihMLCwuTv76/SpUvrlVdeUWrX2MzOdXjhwgUNHDhQJUqUkL+/v+rWrasffvjBWr7U3vuMMRo5cqSKFCkif39/NW7cWAcOHEh1vul9v7+VjEuXLlXTpk1VsGBBORwO7dy5M03zzaxt82b5rl27pqFDh6pKlSrKnTu3QkJC1LVrV/3xxx+pzjc71+Ho0aNVoUIF5c6dW/nz51fjxo21ZcuWbMuYns/gp556Sg6HQ1OnTnWbfN27d0/yvti8efNsy5eWjJK0d+9etW7dWoGBgcqdO7fuuusuHT169KbzzY7fE0nJfrY4HA698cYbN51vdq7Dixcvql+/fipWrJj8/f1VsWJFvf3226nON7vW4alTp9S9e3eFhIQoV65cat68eZrerzMrX1r+Vv3rr7/Ut29fFSxYUHny5NHDDz+sU6dO3XS+Gf0cyki+WbNmqWHDhgoICJDD4VB0dHSa5p1Z22FqGc+dO6dnnnlG5cuXl7+/v4oXL67+/fsrJibmpvPNznX45JNPqnTp0vL391fhwoXVpk0b/frrr9mSL7kZ4wYLFy40Pj4+5r333jO//PKL6dWrl8mXL585depUstNv3rzZeHp6mtdff93s2bPHvPTSS8bb29v8/PPPWZLvyy+/NC+++KJZunSpkWSWLVt20+l/++03kytXLjN48GCzZ88eM336dOPp6WlWrVqVJfmaNWtmIiIizO7du83OnTvNgw8+aIoXL24uXryY4muyex1+9tln5osvvjD79+83+/btMy+88ILx9vY2u3fvdot8o0aNMpUqVTInTpxwPs6cOZPi9Nmd79y5c6ZEiRKme/fuZsuWLea3334zq1evNgcPHkzxNdm9HZ4+fdpl/a1Zs8ZIMuvXr092+uxeh6+99popWLCgWbFihYmKijJLliwxefLkMdOmTUvxNdm9Dtu3b28qVqxoNm7caA4cOGBGjRplAgICzO+//24lX2rvfePHjzeBgYFm+fLl5qeffjKtW7c2YWFh5vLlyynOM73v97eacf78+ebll182s2fPNpLMjh07Up1nZm6bN8sXHR1tGjdubBYtWmR+/fVXExkZae6++24THh5+03lm9zr84IMPzJo1a8yhQ4fM7t27Tc+ePU1AQIA5ffp0tmRM62fw0qVLTbVq1UxISIiZMmXKTeeZnfm6detmmjdv7vL+eO7cuWzLl5aMBw8eNAUKFDDPP/+8+fHHH83BgwfNp59+etPlZdfviTHGZd2dOHHCvPfee8bhcJhDhw6lOM/sXoe9evUypUuXNuvXrzdRUVHmnXfeMZ6enubTTz9NcZ7ZtQ4TEhLMPffcY+rVq2e2bt1qfv31V9O7d+9s/VsxLX+rPvXUUyY0NNSsW7fObNu2zdxzzz2mbt26N51vRj6HMppvypQpZty4cWbcuHFGkjl//nyq883M7TC1jD///LNp166d+eyzz8zBgwfNunXrTNmyZc3DDz980/lm5zp85513zMaNG01UVJTZvn27adWqlQkNDTXXr1/P8nz/RCH/h7vvvtv07dvX+Tw+Pt6EhISYcePGJTt9+/btTcuWLV2G1a5d2zz55JNZmtMYk6ZCPmTIEFOpUiWXYR06dDDNmjXLwmT/5/Tp00aS2bhxY4rT2FyHifLnz2/efffdZMdld75Ro0aZatWqpXn67M43dOhQc99996XrNba3wwEDBpjSpUubhISEZMdn9zps2bKlefzxx12GtWvXznTu3DnF12TnOrx06ZLx9PQ0K1ascBles2ZN8+KLL1rPl9wfeMHBweaNN95wDouOjja+vr7mo48+SnE+6X2/v5WMN4qKikpzIc+qbTMtnx9bt241ksyRI0dSnMbWOkwUExNjJJm1a9dme8aU8v3++++maNGiZvfu3aZEiRKpFvLszNetWzfTpk2bdM0nu3/GHTp0MI899li65mPz96RNmzbmgQceuOk02b0OK1WqZMaMGeMy7Gbv38Zk3zrct2+fkeSyEyQ+Pt4ULlzYzJ49O9vzGZP0b9Xo6Gjj7e1tlixZ4pxm7969RpKJjIxMdh4Z/RzKSL4brV+/Ps2FPCu3w7T8vb948WLj4+Njrl27lux4W+sw0U8//WQkpbiDKSvzccj6Da5evart27ercePGzmEeHh5q3LixIiMjk31NZGSky/SS1KxZsxSnz2628yUemlKgQIEUp7GZMT4+XgsXLlRcXJzq1KnjNvkOHDigkJAQlSpVSp07d77poXrZne+zzz5TrVq19MgjjygoKEg1atTQ7Nmzb/oamz/jq1ev6v3339fjjz8uh8PhFvnq1q2rdevWaf/+/ZKkn376Sd9++61atGiR4muyM+P169cVHx8vPz8/l+H+/v769ttvref7p6ioKJ08edJl+YGBgapdu3aKy8/I+70NNtdrTEyMHA6H8uXLl+x42+vw6tWrmjVrlgIDA1WtWjW3yJiQkKAuXbro+eefV6VKlVKd3sY63LBhg4KCglS+fHk9/fTTOnv2rNvkS0hI0BdffKFy5cqpWbNmCgoKUu3atVM9Pc/W78mpU6f0xRdfqGfPnilOY+NnXLduXX322Wc6fvy4jDFav3699u/fr6ZNm6b4muxah1euXJEkl88XDw8P+fr6pvj5ktX5/vm36vbt23Xt2jWX5VWoUEHFixdPcXkZ+RzKaL6MyOrtMC0ZY2JiFBAQIC8vr2TH21yHcXFxioiIUFhYmEJDQ7M9H4X8Bn/++afi4+N1xx13uAy/4447dPLkyWRfc/LkyXRNn91SyhcbG6vLly9n6bITEhI0cOBA3XvvvapcuXK6M2blOvz555+VJ08e+fr66qmnntKyZctUsWJFt8hXu3ZtzZ07V6tWrdLMmTMVFRWlevXq6cKFC26R77ffftPMmTNVtmxZrV69Wk8//bT69++vefPmpfgam9vh8uXLFR0dre7du6c7X1atw2HDhqljx46qUKGCvL29VaNGDQ0cOFCdO3dOd8asWId58+ZVnTp19Morr+iPP/5QfHy83n//fUVGRurEiRPW8yW37MTl/XP5Kf0MM/J+b4Otz5i//vpLQ4cOVadOnRQQEJDsNLbW4YoVK5QnTx75+flpypQpWrNmjQoVKuQWGSdMmCAvLy/1798/TdNnd77mzZtr/vz5WrdunSZMmKCNGzeqRYsWio+Pd4t8p0+f1sWLFzV+/Hg1b95cX331lR566CG1a9dOGzduTPF1tn5P5s2bp7x586pdu3YpTmPj92T69OmqWLGiihUrJh8fHzVv3lwzZsxQ/fr1U3xNdq3DxGI7fPhwnT9/XlevXtWECRP0+++/p/j5kpX5kvtb9eTJk/Lx8Unyz8jU+kDiNJmZMa1/S6cmK7fDtGT8888/9corr6h3794pzsfGOnzrrbeUJ08e5cmTRytXrtSaNWvk4+OTrfkkKfl/UQCZoG/fvtq9e/dN/+NpS/ny5bVz507FxMTo448/Vrdu3bRx48YUS3l2unEvadWqVVW7dm2VKFFCixcvvul/4bNLQkKCatWqpbFjx0qSatSood27d+vtt99Wt27dLKdLas6cOWrRooVCQkJsR3FavHixPvjgA3344YeqVKmSdu7cqYEDByokJMRt1uGCBQv0+OOPq2jRovL09FTNmjXVqVMnbd++3XY0ZLFr166pffv2MsZo5syZtuMkcf/992vnzp36888/NXv2bLVv315btmxRUFCQ1Vzbt2/XtGnT9OOPP6Z4NI5tHTt2dH5dpUoVVa1aVaVLl9aGDRvUqFEji8n+lpCQIElq06aNBg0aJEmqXr26vvvuO7399ttq0KCBzXhJvPfee+rcuXOSo4lsmz59ur7//nt99tlnKlGihDZt2qS+ffsqJCQkyV7m7Obt7a2lS5eqZ8+eKlCggDw9PdW4cWO1aNEi1QubZgV3/ltVcv98UuoZY2Nj1bJlS1WsWFGjR4/O3nC6eb7OnTurSZMmOnHihCZOnKj27dtr8+bN2f47zR7yGxQqVEienp5JrqJ46tQpBQcHJ/ua4ODgdE2f3VLKFxAQIH9//yxbbr9+/bRixQqtX79exYoVy1DGrFyHPj4+KlOmjMLDwzVu3DhVq1ZN06ZNc5t8N8qXL5/KlSungwcPJjs+u/MVKVIkyT8u7rzzzpseVm9rOzxy5IjWrl2rJ5544qbTZfc6fP755517yatUqaIuXbpo0KBBGjduXLozZtU6LF26tDZu3KiLFy/q2LFj2rp1q65du6ZSpUq5Rb5/Ljtxef9cfko/w4y839uQ3dtmYhk/cuSI1qxZk+LeccneOsydO7fKlCmje+65R3PmzJGXl5fmzJljPeM333yj06dPq3jx4vLy8pKXl5eOHDmiZ599ViVLlrSeLzmlSpVSoUKFUvx8ye58hQoVkpeXV6Z9xmTlOvzmm2+0b9++VD9fsnsdXr58WS+88IImT56sVq1aqWrVqurXr586dOigiRMnpvi67FyH4eHh2rlzp6Kjo3XixAmtWrVKZ8+eTfHzJavypfS3anBwsK5evZrkyuWp9YHEaTIrY3r+lk5NVm2HqWW8cOGCmjdvrrx582rZsmXy9vZOcV421mFgYKDKli2r+vXr6+OPP9avv/6qZcuWZVu+RBTyG/j4+Cg8PFzr1q1zDktISNC6detSPL+4Tp06LtNL0po1a1KcPrtldz5jjPr166dly5bp66+/VlhYmNtlTE5CQoLzvKZ/sp3v4sWLOnTokIoUKZLs+OzOd++99ya5dcT+/ftVokSJFF9jax1GREQoKChILVu2vOl02Z3v0qVL8vBwffv19PR07h1yh4yJcufOrSJFiuj8+fNavXq12rRp41b5JCksLEzBwcEuy4+NjdWWLVtSXH5G3u9tyM71mljGDxw4oLVr16pgwYI3nd5d1uHN3r+zM2OXLl20a9cu7dy50/kICQnR888/r9WrV1vPl5zff/9dZ8+eTfHzJbvz+fj46K677vpXfMbMmTNH4eHhKV6/IFF2r8Nr167p2rVr/4rPmMDAQBUuXFgHDhzQtm3bUvx8yex8qf2tGh4eLm9vb5fl7du3T0ePHk1xeRn5HMpovozI7O0wLRljY2PVtGlT+fj46LPPPkt1r7PtdWj+vth5ip8nmZkvuYXjBgsXLjS+vr5m7ty5Zs+ePaZ3794mX7585uTJk8YYY7p06WKGDRvmnH7z5s3Gy8vLTJw40ezdu9eMGjUqS2+XdOHCBbNjxw6zY8cOI8lMnjzZ7Nixw3kV3GHDhpkuXbo4p0+8FdHzzz9v9u7da2bMmJGlt0p6+umnTWBgoNmwYYPLbUEuXbrknMb2Ohw2bJjzNge7du0yw4YNMw6Hw3z11Vduke/ZZ581GzZsMFFRUWbz5s2mcePGplChQs7b+tjOt3XrVuPl5WVee+01c+DAAfPBBx+YXLlymffff985je3t0Ji/rx5avHhxM3To0CTjbK/Dbt26maJFizpve7Z06VJTqFAhM2TIEOc0ttfhqlWrzMqVK81vv/1mvvrqK1OtWjVTu3Ztc/XqVSv5UnvvGz9+vMmXL5/59NNPza5du0ybNm2S3IrkgQceMNOnT3c+T+39PrMznj171uzYscN88cUXRpJZuHCh2bFjhzlx4oRzHlm5bd4s39WrV03r1q1NsWLFzM6dO13ev69cueKch811ePHiRTN8+HATGRlpDh8+bLZt22Z69OhhfH19Xa7YnJUZU/sZ/1NyV1m3le/ChQvmueeeM5GRkSYqKsqsXbvW1KxZ05QtW9b89ddf2ZIvtYzG/H3LOG9vbzNr1ixz4MAB5y0Uv/nmG+c8bP2eJIqJiTG5cuUyM2fOTHYettdhgwYNTKVKlcz69evNb7/9ZiIiIoyfn5956623nPOwuQ4XL15s1q9fbw4dOmSWL19uSpQoYdq1a+cyj6zMl5a/VZ966ilTvHhx8/XXX5tt27aZOnXqmDp16rjMp3z58mbp0qXO52n5HMqsfCdOnDA7duxw3kZz06ZNZseOHebs2bPOabJyO0wtY0xMjKldu7apUqWKOXjwoMs0N95WzNY6PHTokBk7dqzZtm2bOXLkiNm8ebNp1aqVKVCggMtt4LIq3z9RyJMxffp0U7x4cePj42Puvvtu8/333zvHNWjQwHTr1s1l+sWLF5ty5coZHx8fU6lSJfPFF19kWbbE2xv885GYqVu3bqZBgwZJXlO9enXj4+NjSpUqZSIiIrIsX3LZJLks0/Y6fPzxx02JEiWMj4+PKVy4sGnUqJGzjLtDvg4dOpgiRYoYHx8fU7RoUdOhQweXWzDYzmeMMZ9//rmpXLmy8fX1NRUqVDCzZs1yGW97OzTGmNWrVxtJZt++fUnG2V6HsbGxZsCAAaZ48eLGz8/PlCpVyrz44osuxcf2Oly0aJEpVaqU8fHxMcHBwaZv374mOjraWr7U3vsSEhLMiBEjzB133GF8fX1No0aNkvzsS5QoYUaNGuUy7Gbv95mdMSIiItnxN2bKym3zZvkSb8WW3GP9+vXOedhch5cvXzYPPfSQCQkJMT4+PqZIkSKmdevWZuvWrS7zyMqMqf2M/ym5Qm4r36VLl0zTpk1N4cKFjbe3tylRooTp1atXkj/Gbf+eGGPMnDlzTJkyZYyfn5+pVq2aWb58ucs8bP2eJHrnnXeMv7+/y3vijWyvwxMnTpju3bubkJAQ4+fnZ8qXL28mTZrkcutPm+tw2rRpplixYsbb29sUL17cvPTSSy6ff1mdLy1/q16+fNn06dPH5M+f3+TKlcs89NBDLv88TZzPja9Jy+dQZuUbNWpUqtNk5XaYWsaUtgFJJioqymU+Ntbh8ePHTYsWLUxQUJDx9vY2xYoVM48++qj59ddfk8wnK/L9k+P/LwwAAAAAAGQjziEHAAAAAMACCjkAAAAAABZQyAEAAAAAsIBCDgAAAACABRRyAAAAAAAsoJADAAAAAGABhRwAAAAAAAso5AAAAAAAWEAhBwDgNjdr1iyFhobKw8NDU6dOTfPrunfvrrZt22ZZLgAAcjoKOQAAmSClcrphwwY5HA5FR0dne6a0iI2NVb9+/TR06FAdP35cvXv3TjLN4cOH5XA4tHPnzmzJVLJkSTkcDjkcDvn7+6tkyZJq3769vv7662xZPgAA2YVCDgBADnDt2rUMve7o0aO6du2aWrZsqSJFiihXrlyZnCxjxowZoxMnTmjfvn2aP3++8uXLp8aNG+u1116zHQ0AgExDIQcAIJt98sknqlSpknx9fVWyZElNmjTJZbzD4dDy5ctdhuXLl09z586V9H97rBctWqQGDRrIz89PH3zwQbLLOnr0qNq0aaM8efIoICBA7du316lTpyRJc+fOVZUqVSRJpUqVksPh0OHDh5PMIywsTJJUo0YNORwONWzY0GX8xIkTVaRIERUsWFB9+/Z1+efAlStX9Nxzz6lo0aLKnTu3ateurQ0bNqS6jvLmzavg4GAVL15c9evX16xZszRixAiNHDlS+/btkyTFx8erZ8+eCgsLk7+/v8qXL69p06Y557Fp0yZ5e3vr5MmTLvMeOHCg6tWrl2oGAACyGoUcAIBstH37drVv314dO3bUzz//rNGjR2vEiBHOsp0ew4YN04ABA7R37141a9YsyfiEhAS1adNG586d08aNG7VmzRr99ttv6tChgySpQ4cOWrt2rSRp69atOnHihEJDQ5PMZ+vWrZKktWvX6sSJE1q6dKlz3Pr163Xo0CGtX79e8+bN09y5c12+l379+ikyMlILFy7Url279Mgjj6h58+Y6cOBAur/fAQMGyBijTz/91Pn9FStWTEuWLNGePXs0cuRIvfDCC1q8eLEkqX79+ipVqpQWLFjgnMe1a9f0wQcf6PHHH0/38gEAyGxetgMAAJBTrFixQnny5HEZFh8f7/J88uTJatSokUaMGCFJKleunPbs2aM33nhD3bt3T9fyBg4cqHbt2qU4ft26dfr5558VFRXlLNrz589XpUqV9MMPP+iuu+5SwYIFJUmFCxdWcHBwsvMpXLiwJKlgwYJJpsmfP7/+97//ydPTUxUqVFDLli21bt069erVS0ePHlVERISOHj2qkJAQSdJzzz2nVatWKSIiQmPHjk3X91ugQAEFBQU59+J7e3vr5Zdfdo4PCwtTZGSkFi9erPbt20uSevbsqYiICD3//POSpM8//1x//fWXczwAADaxhxwAgExy//33a+fOnS6Pd99912WavXv36t5773UZdu+99+rAgQNJyntqatWqddPxe/fuVWhoqMte74oVKypfvnzau3dvupaVkkqVKsnT09P5vEiRIjp9+rQk6eeff1Z8fLzKlSunPHnyOB8bN27UoUOHMrQ8Y4wcDofz+YwZMxQeHq7ChQsrT548mjVrlo4ePeoc3717dx08eFDff/+9pL8P02/fvr1y586doeUDAJCZ2EMOAEAmyZ07t8qUKeMy7Pfff0/3fBwOh4wxLsOSu2ibO5RKb29vl+cOh0MJCQmSpIsXL8rT01Pbt293Ke2SkhxJkBZnz57VmTNnnOe0L1y4UM8995wmTZqkOnXqKG/evHrjjTe0ZcsW52uCgoLUqlUrRUREKCwsTCtXrkzTOewAAGQHCjkAANnozjvv1ObNm12Gbd68WeXKlXOW1sKFC+vEiRPO8QcOHNClS5cytKxjx47p2LFjzr3ke/bsUXR0tCpWrJjm+fj4+EhKevh9amrUqKH4+HidPn06Uy6iNm3aNHl4eDhvL7d582bVrVtXffr0cU6T3J73J554Qp06dVKxYsVUunTpJEcoAABgC4UcAIBs9Oyzz+quu+7SK6+8og4dOigyMlL/+9//9NZbbzmneeCBB/S///1PderUUXx8vIYOHZpkT3RaNG7cWFWqVFHnzp01depUXb9+XX369FGDBg1SPdz9RkFBQfL399eqVatUrFgx+fn5KTAwMNXXlStXTp07d1bXrl01adIk1ahRQ2fOnNG6detUtWpVtWzZMsXXXrhwQSdPntS1a9cUFRWl999/X++++67GjRvnPAqhbNmymj9/vlavXq2wsDAtWLBAP/zwg3MPeqJmzZopICBAr776qsaMGZPm7xsAgKzGOeQAAGSjmjVravHixVq4cKEqV66skSNHasyYMS4XdJs0aZJCQ0NVr149Pfroo3ruuecydH9wh8OhTz/9VPnz51f9+vXVuHFjlSpVSosWLUrXfLy8vPTmm2/qnXfeUUhIiNq0aZPm10ZERKhr16569tlnVb58ebVt21Y//PCDihcvftPXjRw5UkWKFFGZMmXUpUsXxcTEaN26dRo6dKhzmieffFLt2rVThw4dVLt2bZ09e9Zlb3kiDw8Pde/eXfHx8eratWvav3EAALKYw/zzJDUAAIAcpmfPnjpz5ow+++wz21EAAHDikHUAAJBjxcTE6Oeff9aHH35IGQcAuB0KOQAAyLHatGmjrVu36qmnnlKTJk1sxwEAwAWHrAMAAAAAYAEXdQMAAAAAwAIKOQAAAAAAFlDIAQAAAACwgEIOAAAAAIAFFHIAAAAAACygkAMAAAAAYAGFHAAAAAAACyjkAAAAAABY8P8AHSKZdLhnEowAAAAASUVORK5CYII=",
            "text/plain": [
              "<Figure size 1200x600 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "# Convert 'START_DATE' to datetime\n",
        "data['START_DATE'] = pd.to_datetime(data['START_DATE'])\n",
        "\n",
        "# Extract the hour from 'START_DATE'\n",
        "data['Hour'] = data['START_DATE'].dt.hour\n",
        "\n",
        "# Plot the number of rides at each time of the day\n",
        "plt.figure(figsize=(12, 6))\n",
        "sns.countplot(x='Hour', data=data, palette='viridis')\n",
        "plt.title('Number of Rides at Each Time of the Day')\n",
        "plt.xlabel('Hour of the Day')\n",
        "plt.ylabel('Number of Rides')\n",
        "plt.show()\n",
        "\n",
        "\n",
        "\n",
        "\n",
        "\n"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "The overall trend indicates that the majority of rides occur between 12:00 and 18:00, with the highest peak observed at 20:00. Conversely, the periods between 1:00 to 2:00 and 5:00 to 6:00 experience the least ride activity. Notably, there are no recorded rides at 4:00. This information can guide operational decisions, such as optimizing driver availability during peak hours and potentially offering incentives for drivers during periods of lower demand. Adjusting marketing strategies and service promotions to align with these peak and off-peak hours can enhance the efficiency of the ride-sharing service.\n"
      ],
      "metadata": {
        "id": "zegtYEhZMpdZ"
      },
      "id": "zegtYEhZMpdZ"
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "7030b3b3-e2a3-4412-9204-e2a7c9cfdd7e",
      "metadata": {
        "id": "7030b3b3-e2a3-4412-9204-e2a7c9cfdd7e",
        "outputId": "081b3071-2a10-4446-9c41-114e9758b4cf"
      },
      "outputs": [
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "/tmp/ipykernel_732/2295248649.py:12: FutureWarning: \n",
            "\n",
            "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `x` variable to `hue` and set `legend=False` for the same effect.\n",
            "\n",
            "  sns.countplot(x='Day_Type', data=data, palette='Set2')\n"
          ]
        },
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 1000x600 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "# Convert 'START_DATE' to datetime\n",
        "data['START_DATE'] = pd.to_datetime(data['START_DATE'])\n",
        "\n",
        "# Extract the day of the week from 'START_DATE'\n",
        "data['Day_of_Week'] = data['START_DATE'].dt.day_name()\n",
        "\n",
        "# Map weekdays and weekends\n",
        "data['Day_Type'] = data['START_DATE'].dt.dayofweek.map({0: 'Weekday', 1: 'Weekday', 2: 'Weekday', 3: 'Weekday', 4: 'Weekday', 5: 'Weekend', 6: 'Weekend'})\n",
        "\n",
        "# Plot the number of rides on weekends vs. weekdays\n",
        "plt.figure(figsize=(10, 6))\n",
        "sns.countplot(x='Day_Type', data=data, palette='Set2')\n",
        "plt.title('Number of Rides on Weekends vs. Weekdays')\n",
        "plt.xlabel('Day Type')\n",
        "plt.ylabel('Number of Rides')\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "It was obvious that the number of rides for weekdays will be higher than the number of rides on weekends.\n"
      ],
      "metadata": {
        "id": "yW5-QIcANZWi"
      },
      "id": "yW5-QIcANZWi"
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "5ee49912-aa1e-40d0-abf7-a817a6d27ae0",
      "metadata": {
        "id": "5ee49912-aa1e-40d0-abf7-a817a6d27ae0",
        "outputId": "742cfcf1-5c4e-4b92-866a-93eb6a5579fe"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 1200x800 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "\n",
        "data['START_DATE'] = pd.to_datetime(data['START_DATE'])\n",
        "\n",
        "# Create a new column for the hour of the day\n",
        "data['Hour'] = data['START_DATE'].dt.hour\n",
        "\n",
        "# Map weekdays\n",
        "data['Day_Type'] = data['START_DATE'].dt.dayofweek.map({0: 'Monday', 1: 'Tuesday', 2: 'Wednesday', 3: 'Thursday', 4: 'Friday'})\n",
        "\n",
        "# Plot the distribution of rides during different times of the day for weekdays\n",
        "plt.figure(figsize=(12, 8))\n",
        "sns.lineplot(x=data[data['Day_Type'] != 'Weekend']['Hour'].value_counts().sort_index().index,\n",
        "             y=data[data['Day_Type'] != 'Weekend']['Hour'].value_counts().sort_index().values,\n",
        "             label='Weekdays', color='blue')\n",
        "\n",
        "plt.title('Distribution of Rides During Different Times of the Day on Weekdays')\n",
        "plt.xlabel('Hour of the Day')\n",
        "plt.ylabel('Number of Rides')\n",
        "plt.legend()\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "During weekdays, there is a noticeable surge in the number of rides starting at 6:00 AM, indicating the peak of morning commuting hours when people are likely heading to work. This trend continues until around 12:00 PM. Another significant increase in rides occurs from 12:00 PM to 2:00 PM, possibly reflecting lunchtime or midday activities. There's a subsequent rise in rides starting around 6:00 PM, suggesting the evening rush hour as individuals leave work. However, the number of rides starts to decrease after 8:00 PM, indicating a decline in activity during late evening hours. This pattern aligns with typical workday commuting behaviors.\n"
      ],
      "metadata": {
        "id": "mGbM922_ZPh4"
      },
      "id": "mGbM922_ZPh4"
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "190059ff-efea-49cd-a078-b8c6aacfa54e",
      "metadata": {
        "id": "190059ff-efea-49cd-a078-b8c6aacfa54e",
        "outputId": "57ff7b28-70ba-4d4e-e90a-bdc80780071e"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 1200x800 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "# Map weekdays\n",
        "data['Day_Type'] = data['START_DATE'].dt.dayofweek.map({0: 'Monday', 1: 'Tuesday', 2: 'Wednesday', 3: 'Thursday', 4: 'Friday', 5: 'Saturday', 6: 'Sunday'})\n",
        "\n",
        "# Plot the distribution of rides during different times of the day for weekends\n",
        "plt.figure(figsize=(12, 8))\n",
        "sns.lineplot(x=data[data['Day_Type'].isin(['Saturday', 'Sunday'])]['Hour'].value_counts().sort_index().index,\n",
        "             y=data[data['Day_Type'].isin(['Saturday', 'Sunday'])]['Hour'].value_counts().sort_index().values,\n",
        "             label='Weekends', color='orange')\n",
        "\n",
        "plt.title('Distribution of Rides During Different Times of the Day on Weekends')\n",
        "plt.xlabel('Hour of the Day')\n",
        "plt.ylabel('Number of Rides')\n",
        "plt.legend()\n",
        "plt.show()\n"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "During weekends, there is a consistent low number of rides recorded, indicating a slower pace of activity compared to weekdays. The initial increase in rides around 11:00 suggests a gradual start to the day, possibly after leisurely mornings. A more significant rise in rides occurs around 13:00, possibly indicating the beginning of afternoon activities or outings. The decline in rides around 20:00 suggests a decrease in evening activities, and the subsequent increase around 22:00 might indicate a late-night resurgence in rides. Overall, the weekend pattern contrasts with weekdays, emphasizing a more relaxed and varied schedule with a distinct absence of the typical work-related commuting peaks.\n"
      ],
      "metadata": {
        "id": "-kFhYNlSa4Ht"
      },
      "id": "-kFhYNlSa4Ht"
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "94d5a7b4-f792-4a48-89af-5f3073632862",
      "metadata": {
        "id": "94d5a7b4-f792-4a48-89af-5f3073632862",
        "outputId": "042db729-00f0-4241-bd27-fd6659d3743f"
      },
      "outputs": [
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 1200x800 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "\n",
        "data['START_DATE'] = pd.to_datetime(data['START_DATE'])\n",
        "\n",
        "# Create a new column for the hour of the day\n",
        "data['Hour'] = data['START_DATE'].dt.hour\n",
        "\n",
        "# Map weekdays\n",
        "data['Day_Type'] = data['START_DATE'].dt.dayofweek.map({0: 'Monday', 1: 'Tuesday', 2: 'Wednesday', 3: 'Thursday', 4: 'Friday', 5: 'Saturday', 6: 'Sunday'})\n",
        "\n",
        "# Plot the distribution of rides during different times of the day for each purpose\n",
        "plt.figure(figsize=(12, 8))\n",
        "sns.countplot(x='Hour', hue='PURPOSE', data=data)\n",
        "plt.title('Distribution of Rides During Different Times of the Day for Each Purpose')\n",
        "plt.xlabel('Hour of the Day')\n",
        "plt.ylabel('Number of Rides')\n",
        "plt.legend(title='Purpose', loc='upper left', bbox_to_anchor=(1, 1))\n",
        "plt.show()\n"
      ]
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "id": "04aa522e-d425-4214-bb47-9d440b4dfb42",
      "metadata": {
        "id": "04aa522e-d425-4214-bb47-9d440b4dfb42",
        "outputId": "611242e4-5814-4789-e678-acd19b212641"
      },
      "outputs": [
        {
          "name": "stderr",
          "output_type": "stream",
          "text": [
            "/tmp/ipykernel_732/741949783.py:5: FutureWarning: \n",
            "\n",
            "Passing `palette` without assigning `hue` is deprecated and will be removed in v0.14.0. Assign the `y` variable to `hue` and set `legend=False` for the same effect.\n",
            "\n",
            "  sns.barplot(x='MILES', y='PURPOSE', data=average_distance_by_purpose, palette='viridis')\n"
          ]
        },
        {
          "data": {
            "image/png": 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",
            "text/plain": [
              "<Figure size 1200x800 with 1 Axes>"
            ]
          },
          "metadata": {},
          "output_type": "display_data"
        }
      ],
      "source": [
        "average_distance_by_purpose = data.groupby('PURPOSE')['MILES'].mean().reset_index()\n",
        "\n",
        "# Plot the average distance for each purpose\n",
        "plt.figure(figsize=(12, 8))\n",
        "sns.barplot(x='MILES', y='PURPOSE', data=average_distance_by_purpose, palette='viridis')\n",
        "plt.title('Average Distance Traveled for Different Purposes')\n",
        "plt.xlabel('Average Distance (Miles)')\n",
        "plt.ylabel('Purpose')\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "## INFERENCE\n",
        "Based on the observations, the analysis highlights distinct patterns in ride activity during weekdays and weekends, indicating a shift in user behavior. Weekdays witness a surge in rides during morning and evening commuting hours, aligning with typical workday schedules. In contrast, weekends show a consistent but lower ride activity, suggesting a more relaxed and varied schedule. The monthly analysis identifies December as the peak period for rides, potentially influenced by holiday festivities. The time-of-day analysis reveals peak ride times between 12:00 and 18:00, with the highest peak at 20:00, guiding operational decisions for driver availability and marketing strategies. The analysis of ride purposes emphasizes a strong association with business-related activities, opening opportunities for tailored services and corporate partnerships. Overall, recommendations include optimizing services during peak periods, targeted promotions, and adapting strategies based on observed trends for improved operational efficiency and customer satisfaction."
      ],
      "metadata": {
        "id": "jzCGE5qedbA0"
      },
      "id": "jzCGE5qedbA0"
    }
  ],
  "metadata": {
    "kernelspec": {
      "display_name": "Python 3 (ipykernel)",
      "language": "python",
      "name": "python3"
    },
    "language_info": {
      "codemirror_mode": {
        "name": "ipython",
        "version": 3
      },
      "file_extension": ".py",
      "mimetype": "text/x-python",
      "name": "python",
      "nbconvert_exporter": "python",
      "pygments_lexer": "ipython3",
      "version": "3.9.2"
    },
    "colab": {
      "provenance": [],
      "include_colab_link": true
    }
  },
  "nbformat": 4,
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