MLE_MiniProject_EDA.ipynb

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      "source": [
        "# Mini Project: Exploratory Data Analysis\n",
        "\n",
        "## Notes\n",
        "\n",
        "- Need to cover Seaborn in curriculum"
      ],
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        "# Exploratory Data Analysis: Unveiling Insights from the NYC Taxi Dataset\n",
        "\n",
        "Data has become the lifeblood of the modern world, permeating every aspect of our lives and transforming the way we make decisions. In this era of vast information, the ability to extract meaningful insights from raw data has emerged as a crucial skill. Enter exploratory data analysis (EDA), a powerful approach that allows us to unravel hidden patterns, detect anomalies, and generate valuable knowledge from the vast volumes of data at our disposal.\n",
        "\n",
        "Exploratory data analysis serves as the initial step in any data-driven investigation, offering a comprehensive understanding of the dataset's structure, distributions, and relationships between variables. By applying statistical and visual techniques, analysts gain a deeper insight into the data, paving the way for more accurate predictions, informed decision-making, and the discovery of actionable insights.\n",
        "\n",
        "To illustrate the significance of exploratory data analysis, we delve into one of the most popular and widely studied datasets in the field—the [NYC Taxi Dataset](https://www.nyc.gov/site/tlc/about/tlc-trip-record-data.page). As the name suggests, this dataset captures detailed information about taxi trips within the bustling city of New York. The NYC Taxi Dataset is an ideal choice for learning and practicing EDA techniques due to its richness, complexity, and real-world applicability.\n",
        "\n",
        "The dataset encompasses a vast range of attributes, including pickup and drop-off locations, timestamps, trip durations, passenger counts, payment information, and much more. By exploring this data, we can gain valuable insights into the dynamics of taxi usage, understand travel patterns across different neighborhoods, identify peak hours of demand, analyze fare structures, and even uncover interesting anecdotes about the city's vibrant life.\n",
        "\n",
        "The NYC Taxi Dataset is an excellent resource for aspiring ML practitioners to develop their EDA skills. Its scale, complexity, and real-world relevance make it an engaging playground for uncovering hidden patterns, generating hypotheses, and forming data-driven narratives.\n",
        "\n",
        "In this mini project, we will dive deep into the NYC Taxi Dataset. We will leverage various EDA techniques to unveil meaningful insights, visualize data distributions, identify outliers, and pose insightful questions that will fuel further analysis and exploration. By the end of this colab, students will have a solid foundation in exploratory data analysis and be equipped to tackle real-world data challenges with confidence."
      ],
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    {
      "cell_type": "code",
      "source": [
        "import pandas as pd\n",
        "import matplotlib.pyplot as plt\n",
        "import seaborn as sns"
      ],
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      "source": [
        "Load the NYC taxi dataset into a Pandas DataFrame and do a few basic checks to ensure the data is loaded properly. Note, there are several months of data that can be used. For simplicity, use the Yellow Taxi 2022-01 parquet file [here](https://d37ci6vzurychx.cloudfront.net/trip-data/yellow_tripdata_2022-01.parquet). Here are your tasks:\n",
        "\n",
        "  1. Load the `yellow_tripdata_2022-01.parquet` file into Pandas.\n",
        "  2. Print the first 5 rows of data. Study the schema and make sure you understand what each of the fields mean by referencing the [documentation](https://www.nyc.gov/assets/tlc/downloads/pdf/data_dictionary_trip_records_yellow.pdf).\n",
        "  3. How many rows are in the dataset? How many unique columns are in the dataset?\n",
        "  4. Which columns have NULL values and how many NULL values are present in each of these columns?\n",
        "  5. Generate summary statistics using Pandas' [describe method](https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.describe.html). Do you notice anything unusual in the dataset? Find at least one anomoly and try to come up with a hypothesis to explain it.  \n",
        "  6. Drop all rows with NULL values and store the result. We'll ignore NULL valued rows in this mini-project.\n"
      ],
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      "source": [
        "# Load parquet file into a Pandas DataFrame\n",
        "df = pd.read_parquet('https://d37ci6vzurychx.cloudfront.net/trip-data/yellow_tripdata_2022-01.parquet')"
      ],
      "metadata": {
        "id": "db--eb8zlNNg"
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      "cell_type": "code",
      "source": [
        "# Display the first few rows of the dataset\n",
        "df.head()"
      ],
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              "   VendorID tpep_pickup_datetime tpep_dropoff_datetime  passenger_count  \\\n",
              "0         1  2022-01-01 00:35:40   2022-01-01 00:53:29              2.0   \n",
              "1         1  2022-01-01 00:33:43   2022-01-01 00:42:07              1.0   \n",
              "2         2  2022-01-01 00:53:21   2022-01-01 01:02:19              1.0   \n",
              "3         2  2022-01-01 00:25:21   2022-01-01 00:35:23              1.0   \n",
              "4         2  2022-01-01 00:36:48   2022-01-01 01:14:20              1.0   \n",
              "\n",
              "   trip_distance  RatecodeID store_and_fwd_flag  PULocationID  DOLocationID  \\\n",
              "0           3.80         1.0                  N           142           236   \n",
              "1           2.10         1.0                  N           236            42   \n",
              "2           0.97         1.0                  N           166           166   \n",
              "3           1.09         1.0                  N           114            68   \n",
              "4           4.30         1.0                  N            68           163   \n",
              "\n",
              "   payment_type  fare_amount  extra  mta_tax  tip_amount  tolls_amount  \\\n",
              "0             1         14.5    3.0      0.5        3.65           0.0   \n",
              "1             1          8.0    0.5      0.5        4.00           0.0   \n",
              "2             1          7.5    0.5      0.5        1.76           0.0   \n",
              "3             2          8.0    0.5      0.5        0.00           0.0   \n",
              "4             1         23.5    0.5      0.5        3.00           0.0   \n",
              "\n",
              "   improvement_surcharge  total_amount  congestion_surcharge  airport_fee  \n",
              "0                    0.3         21.95                   2.5          0.0  \n",
              "1                    0.3         13.30                   0.0          0.0  \n",
              "2                    0.3         10.56                   0.0          0.0  \n",
              "3                    0.3         11.80                   2.5          0.0  \n",
              "4                    0.3         30.30                   2.5          0.0  "
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      "source": [
        "# Display the shape of the dataset\n",
        "df.shape"
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              "(2463931, 19)"
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      "source": [
        "# Check for missing values\n",
        "df.isnull().sum()"
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          "data": {
            "text/plain": [
              "VendorID                     0\n",
              "tpep_pickup_datetime         0\n",
              "tpep_dropoff_datetime        0\n",
              "passenger_count          71503\n",
              "trip_distance                0\n",
              "RatecodeID               71503\n",
              "store_and_fwd_flag       71503\n",
              "PULocationID                 0\n",
              "DOLocationID                 0\n",
              "payment_type                 0\n",
              "fare_amount                  0\n",
              "extra                        0\n",
              "mta_tax                      0\n",
              "tip_amount                   0\n",
              "tolls_amount                 0\n",
              "improvement_surcharge        0\n",
              "total_amount                 0\n",
              "congestion_surcharge     71503\n",
              "airport_fee              71503\n",
              "dtype: int64"
            ]
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          "metadata": {},
          "execution_count": 5
        }
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      "source": [
        "# Summary statistics of the dataset\n",
        "df.describe()"
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              "           VendorID  passenger_count  trip_distance    RatecodeID  \\\n",
              "count  2.463931e+06     2.392428e+06   2.463931e+06  2.392428e+06   \n",
              "mean   1.707819e+00     1.389453e+00   5.372751e+00  1.415507e+00   \n",
              "std    5.021375e-01     9.829686e-01   5.478714e+02  5.917573e+00   \n",
              "min    1.000000e+00     0.000000e+00   0.000000e+00  1.000000e+00   \n",
              "25%    1.000000e+00     1.000000e+00   1.040000e+00  1.000000e+00   \n",
              "50%    2.000000e+00     1.000000e+00   1.740000e+00  1.000000e+00   \n",
              "75%    2.000000e+00     1.000000e+00   3.130000e+00  1.000000e+00   \n",
              "max    6.000000e+00     9.000000e+00   3.061593e+05  9.900000e+01   \n",
              "\n",
              "       PULocationID  DOLocationID  payment_type   fare_amount         extra  \\\n",
              "count  2.463931e+06  2.463931e+06  2.463931e+06  2.463931e+06  2.463931e+06   \n",
              "mean   1.660768e+02  1.635807e+02  1.194449e+00  1.294648e+01  1.006710e+00   \n",
              "std    6.546806e+01  7.079016e+01  5.001778e-01  2.558149e+02  1.236226e+00   \n",
              "min    1.000000e+00  1.000000e+00  0.000000e+00 -4.800000e+02 -4.500000e+00   \n",
              "25%    1.320000e+02  1.130000e+02  1.000000e+00  6.500000e+00  0.000000e+00   \n",
              "50%    1.620000e+02  1.620000e+02  1.000000e+00  9.000000e+00  5.000000e-01   \n",
              "75%    2.340000e+02  2.360000e+02  1.000000e+00  1.400000e+01  2.500000e+00   \n",
              "max    2.650000e+02  2.650000e+02  5.000000e+00  4.010923e+05  3.350000e+01   \n",
              "\n",
              "            mta_tax    tip_amount  tolls_amount  improvement_surcharge  \\\n",
              "count  2.463931e+06  2.463931e+06  2.463931e+06           2.463931e+06   \n",
              "mean   4.914539e-01  2.385696e+00  3.749773e-01           2.967234e-01   \n",
              "std    8.291560e-02  2.830698e+00  1.680538e+00           4.374741e-02   \n",
              "min   -5.000000e-01 -1.252200e+02 -3.140000e+01          -3.000000e-01   \n",
              "25%    5.000000e-01  7.200000e-01  0.000000e+00           3.000000e-01   \n",
              "50%    5.000000e-01  2.000000e+00  0.000000e+00           3.000000e-01   \n",
              "75%    5.000000e-01  3.000000e+00  0.000000e+00           3.000000e-01   \n",
              "max    1.659000e+01  8.888800e+02  1.933000e+02           3.000000e-01   \n",
              "\n",
              "       total_amount  congestion_surcharge   airport_fee  \n",
              "count  2.463931e+06          2.392428e+06  2.392428e+06  \n",
              "mean   1.916937e+01          2.282322e+00  8.249935e-02  \n",
              "std    2.559641e+02          7.432040e-01  3.125554e-01  \n",
              "min   -4.803000e+02         -2.500000e+00 -1.250000e+00  \n",
              "25%    1.130000e+01          2.500000e+00  0.000000e+00  \n",
              "50%    1.469000e+01          2.500000e+00  0.000000e+00  \n",
              "75%    2.002000e+01          2.500000e+00  0.000000e+00  \n",
              "max    4.010956e+05          2.500000e+00  1.250000e+00  "
            ],
            "text/html": [
              "\n",
              "  <div id=\"df-7374ab22-820e-4b18-828b-878479a69078\">\n",
              "    <div class=\"colab-df-container\">\n",
              "      <div>\n",
              "<style scoped>\n",
              "    .dataframe tbody tr th:only-of-type {\n",
              "        vertical-align: middle;\n",
              "    }\n",
              "\n",
              "    .dataframe tbody tr th {\n",
              "        vertical-align: top;\n",
              "    }\n",
              "\n",
              "    .dataframe thead th {\n",
              "        text-align: right;\n",
              "    }\n",
              "</style>\n",
              "<table border=\"1\" class=\"dataframe\">\n",
              "  <thead>\n",
              "    <tr style=\"text-align: right;\">\n",
              "      <th></th>\n",
              "      <th>VendorID</th>\n",
              "      <th>passenger_count</th>\n",
              "      <th>trip_distance</th>\n",
              "      <th>RatecodeID</th>\n",
              "      <th>PULocationID</th>\n",
              "      <th>DOLocationID</th>\n",
              "      <th>payment_type</th>\n",
              "      <th>fare_amount</th>\n",
              "      <th>extra</th>\n",
              "      <th>mta_tax</th>\n",
              "      <th>tip_amount</th>\n",
              "      <th>tolls_amount</th>\n",
              "      <th>improvement_surcharge</th>\n",
              "      <th>total_amount</th>\n",
              "      <th>congestion_surcharge</th>\n",
              "      <th>airport_fee</th>\n",
              "    </tr>\n",
              "  </thead>\n",
              "  <tbody>\n",
              "    <tr>\n",
              "      <th>count</th>\n",
              "      <td>2.463931e+06</td>\n",
              "      <td>2.392428e+06</td>\n",
              "      <td>2.463931e+06</td>\n",
              "      <td>2.392428e+06</td>\n",
              "      <td>2.463931e+06</td>\n",
              "      <td>2.463931e+06</td>\n",
              "      <td>2.463931e+06</td>\n",
              "      <td>2.463931e+06</td>\n",
              "      <td>2.463931e+06</td>\n",
              "      <td>2.463931e+06</td>\n",
              "      <td>2.463931e+06</td>\n",
              "      <td>2.463931e+06</td>\n",
              "      <td>2.463931e+06</td>\n",
              "      <td>2.463931e+06</td>\n",
              "      <td>2.392428e+06</td>\n",
              "      <td>2.392428e+06</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>mean</th>\n",
              "      <td>1.707819e+00</td>\n",
              "      <td>1.389453e+00</td>\n",
              "      <td>5.372751e+00</td>\n",
              "      <td>1.415507e+00</td>\n",
              "      <td>1.660768e+02</td>\n",
              "      <td>1.635807e+02</td>\n",
              "      <td>1.194449e+00</td>\n",
              "      <td>1.294648e+01</td>\n",
              "      <td>1.006710e+00</td>\n",
              "      <td>4.914539e-01</td>\n",
              "      <td>2.385696e+00</td>\n",
              "      <td>3.749773e-01</td>\n",
              "      <td>2.967234e-01</td>\n",
              "      <td>1.916937e+01</td>\n",
              "      <td>2.282322e+00</td>\n",
              "      <td>8.249935e-02</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>std</th>\n",
              "      <td>5.021375e-01</td>\n",
              "      <td>9.829686e-01</td>\n",
              "      <td>5.478714e+02</td>\n",
              "      <td>5.917573e+00</td>\n",
              "      <td>6.546806e+01</td>\n",
              "      <td>7.079016e+01</td>\n",
              "      <td>5.001778e-01</td>\n",
              "      <td>2.558149e+02</td>\n",
              "      <td>1.236226e+00</td>\n",
              "      <td>8.291560e-02</td>\n",
              "      <td>2.830698e+00</td>\n",
              "      <td>1.680538e+00</td>\n",
              "      <td>4.374741e-02</td>\n",
              "      <td>2.559641e+02</td>\n",
              "      <td>7.432040e-01</td>\n",
              "      <td>3.125554e-01</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>min</th>\n",
              "      <td>1.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>1.000000e+00</td>\n",
              "      <td>1.000000e+00</td>\n",
              "      <td>1.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>-4.800000e+02</td>\n",
              "      <td>-4.500000e+00</td>\n",
              "      <td>-5.000000e-01</td>\n",
              "      <td>-1.252200e+02</td>\n",
              "      <td>-3.140000e+01</td>\n",
              "      <td>-3.000000e-01</td>\n",
              "      <td>-4.803000e+02</td>\n",
              "      <td>-2.500000e+00</td>\n",
              "      <td>-1.250000e+00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>25%</th>\n",
              "      <td>1.000000e+00</td>\n",
              "      <td>1.000000e+00</td>\n",
              "      <td>1.040000e+00</td>\n",
              "      <td>1.000000e+00</td>\n",
              "      <td>1.320000e+02</td>\n",
              "      <td>1.130000e+02</td>\n",
              "      <td>1.000000e+00</td>\n",
              "      <td>6.500000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>5.000000e-01</td>\n",
              "      <td>7.200000e-01</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>3.000000e-01</td>\n",
              "      <td>1.130000e+01</td>\n",
              "      <td>2.500000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>50%</th>\n",
              "      <td>2.000000e+00</td>\n",
              "      <td>1.000000e+00</td>\n",
              "      <td>1.740000e+00</td>\n",
              "      <td>1.000000e+00</td>\n",
              "      <td>1.620000e+02</td>\n",
              "      <td>1.620000e+02</td>\n",
              "      <td>1.000000e+00</td>\n",
              "      <td>9.000000e+00</td>\n",
              "      <td>5.000000e-01</td>\n",
              "      <td>5.000000e-01</td>\n",
              "      <td>2.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>3.000000e-01</td>\n",
              "      <td>1.469000e+01</td>\n",
              "      <td>2.500000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>75%</th>\n",
              "      <td>2.000000e+00</td>\n",
              "      <td>1.000000e+00</td>\n",
              "      <td>3.130000e+00</td>\n",
              "      <td>1.000000e+00</td>\n",
              "      <td>2.340000e+02</td>\n",
              "      <td>2.360000e+02</td>\n",
              "      <td>1.000000e+00</td>\n",
              "      <td>1.400000e+01</td>\n",
              "      <td>2.500000e+00</td>\n",
              "      <td>5.000000e-01</td>\n",
              "      <td>3.000000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "      <td>3.000000e-01</td>\n",
              "      <td>2.002000e+01</td>\n",
              "      <td>2.500000e+00</td>\n",
              "      <td>0.000000e+00</td>\n",
              "    </tr>\n",
              "    <tr>\n",
              "      <th>max</th>\n",
              "      <td>6.000000e+00</td>\n",
              "      <td>9.000000e+00</td>\n",
              "      <td>3.061593e+05</td>\n",
              "      <td>9.900000e+01</td>\n",
              "      <td>2.650000e+02</td>\n",
              "      <td>2.650000e+02</td>\n",
              "      <td>5.000000e+00</td>\n",
              "      <td>4.010923e+05</td>\n",
              "      <td>3.350000e+01</td>\n",
              "      <td>1.659000e+01</td>\n",
              "      <td>8.888800e+02</td>\n",
              "      <td>1.933000e+02</td>\n",
              "      <td>3.000000e-01</td>\n",
              "      <td>4.010956e+05</td>\n",
              "      <td>2.500000e+00</td>\n",
              "      <td>1.250000e+00</td>\n",
              "    </tr>\n",
              "  </tbody>\n",
              "</table>\n",
              "</div>\n",
              "      <button class=\"colab-df-convert\" onclick=\"convertToInteractive('df-7374ab22-820e-4b18-828b-878479a69078')\"\n",
              "              title=\"Convert this dataframe to an interactive table.\"\n",
              "              style=\"display:none;\">\n",
              "        \n",
              "  <svg xmlns=\"http://www.w3.org/2000/svg\" height=\"24px\"viewBox=\"0 0 24 24\"\n",
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              "  </svg>\n",
              "      </button>\n",
              "      \n",
              "  <style>\n",
              "    .colab-df-container {\n",
              "      display:flex;\n",
              "      flex-wrap:wrap;\n",
              "      gap: 12px;\n",
              "    }\n",
              "\n",
              "    .colab-df-convert {\n",
              "      background-color: #E8F0FE;\n",
              "      border: none;\n",
              "      border-radius: 50%;\n",
              "      cursor: pointer;\n",
              "      display: none;\n",
              "      fill: #1967D2;\n",
              "      height: 32px;\n",
              "      padding: 0 0 0 0;\n",
              "      width: 32px;\n",
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              "\n",
              "    .colab-df-convert:hover {\n",
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              "      box-shadow: 0px 1px 2px rgba(60, 64, 67, 0.3), 0px 1px 3px 1px rgba(60, 64, 67, 0.15);\n",
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              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert {\n",
              "      background-color: #3B4455;\n",
              "      fill: #D2E3FC;\n",
              "    }\n",
              "\n",
              "    [theme=dark] .colab-df-convert:hover {\n",
              "      background-color: #434B5C;\n",
              "      box-shadow: 0px 1px 3px 1px rgba(0, 0, 0, 0.15);\n",
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              "\n",
              "      <script>\n",
              "        const buttonEl =\n",
              "          document.querySelector('#df-7374ab22-820e-4b18-828b-878479a69078 button.colab-df-convert');\n",
              "        buttonEl.style.display =\n",
              "          google.colab.kernel.accessAllowed ? 'block' : 'none';\n",
              "\n",
              "        async function convertToInteractive(key) {\n",
              "          const element = document.querySelector('#df-7374ab22-820e-4b18-828b-878479a69078');\n",
              "          const dataTable =\n",
              "            await google.colab.kernel.invokeFunction('convertToInteractive',\n",
              "                                                     [key], {});\n",
              "          if (!dataTable) return;\n",
              "\n",
              "          const docLinkHtml = 'Like what you see? Visit the ' +\n",
              "            '<a target=\"_blank\" href=https://colab.research.google.com/notebooks/data_table.ipynb>data table notebook</a>'\n",
              "            + ' to learn more about interactive tables.';\n",
              "          element.innerHTML = '';\n",
              "          dataTable['output_type'] = 'display_data';\n",
              "          await google.colab.output.renderOutput(dataTable, element);\n",
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              "          element.appendChild(docLink);\n",
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              "  </div>\n",
              "  "
            ]
          },
          "metadata": {},
          "execution_count": 7
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Drop rows with missing values.\n",
        "df.dropna(inplace=True)\n",
        "df.shape"
      ],
      "metadata": {
        "id": "VP3EWMIEo4sp",
        "colab": {
          "base_uri": "https://localhost:8080/"
        },
        "outputId": "0e453935-044b-45c5-da79-8bfe4676dbef"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "execute_result",
          "data": {
            "text/plain": [
              "(2392428, 25)"
            ]
          },
          "metadata": {},
          "execution_count": 16
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Feature engineering is a critical process in machine learning that involves selecting, transforming, and creating features from raw data to improve the performance and accuracy of predictive models. While machine learning algorithms have the capability to automatically learn patterns from data, the quality and relevance of the features used as inputs greatly influence the model's ability to generalize and make accurate predictions. Feature engineering, therefore, plays a crucial role in extracting meaningful information and representing it in a format that best captures the underlying relationships within the data.\n",
        "\n",
        "Here are your tasks:\n",
        "\n",
        "  1. Create a new feature that calculates the trip duration in minutes.\n",
        "  2. Create additional features for the pick-up day of week and pick-up hour.\n",
        "  3. Use the Seaborn library to create a [line plot](https://seaborn.pydata.org/generated/seaborn.lineplot.html) depicting the number of trips as a function of the hour of day. What's the busiest time of day?\n",
        "  4. Create another lineplot depicting the number of trips as a function of the day of week. What day of the week is the least busy?"
      ],
      "metadata": {
        "id": "u2i5l3QNFAf3"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Create a new column for trip duration in minutes\n",
        "df['pickup_datetime'] = pd.to_datetime(df['tpep_pickup_datetime'])\n",
        "df['dropoff_datetime'] = pd.to_datetime(df['tpep_dropoff_datetime'])\n",
        "df['trip_duration'] = (df['dropoff_datetime'] - df['pickup_datetime']).dt.total_seconds() / 60"
      ],
      "metadata": {
        "id": "Wef2rR1Npl8f"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Create new columns for pickup hour and day of week\n",
        "df['pickup_hour'] = df['pickup_datetime'].dt.hour\n",
        "df['pickup_day'] = df['pickup_datetime'].dt.dayofweek"
      ],
      "metadata": {
        "id": "d13PYaN2FPFt"
      },
      "execution_count": null,
      "outputs": []
    },
    {
      "cell_type": "code",
      "source": [
        "# Create a lineplot displaying the number of trips by pickup hour\n",
        "plt.figure(figsize=(10, 6))\n",
        "sns.lineplot(data=df.groupby('pickup_hour').size())\n",
        "plt.title('Trips by Hour')\n",
        "plt.xlabel('Hour of Day')\n",
        "plt.ylabel('Number of Trips')\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 564
        },
        "id": "-Bf7bnS9uU-h",
        "outputId": "71afe06a-2fef-4c23-a555-8798bd2cdf05"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "code",
      "source": [
        "# Create a lineplot displaying the number of trips by pickup day\n",
        "plt.figure(figsize=(10, 6))\n",
        "sns.lineplot(data=df.groupby('pickup_day').size())\n",
        "plt.title('Trips by Day of Week')\n",
        "plt.xlabel('Day of Week')\n",
        "plt.ylabel('Number of Trips')\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 564
        },
        "id": "iGjHC9lHuO8r",
        "outputId": "3d6842c4-ec7d-4c82-a1b8-3bda3c3e0f7b"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x600 with 1 Axes>"
            ],
            "image/png": 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EGM8884yRnZ1dZux///tfo3fv3oa3t7fh7e1ttGrVyhg7dqyxY8cOx5hz/ZlLSUkxGjZsaLRu3dpIT0+v0NclIuLsLIbxh7kHIiIiVWDRokX069ePb775huuuu87sOA7XXnstmzZtIiUlxewoZYwbN44PP/yQ1NRUvLy8zI4jIiIm0Ro2ERGps44cOcLs2bPPu2V+dcvPz+fzzz9n+PDhKmsiInWc1rCJiEids2fPHpYtW8YHH3yAq6trmYO2zZSWlsavv/7Kt99+y7Fjx3jggQfMjiQiIiZTYRMRkTonISGB2267jSZNmvDJJ58QGhpqdiQAtm7dys0330xISAivv/56md0YRUSkbtIaNhERERERESelNWwiIiIiIiJOSoVNRERERETESWkNWzWy2+0cPnyYevXqYbFYzI4jIiIiIiImMQyDEydO0KhRI6zWP7+PpsJWjQ4fPkx4eLjZMURERERExEkcOHCAsLCwP72uwlaN6tWrB5T+R/H19TU5jYiIiIiImCUnJ4fw8HBHR/gzKmzV6Mw0SF9fXxU2ERERERE571IpbToiIiIiIiLipFTYREREREREnJQKm4iIiIiIiJNSYRMREREREXFSKmwiIiIiIiJOSoVNRERERETESamwiYiIiIiIOCkVNhERERERESelwiYiIiIiIuKkVNhERERERESclAqbiIiIiIiIk1JhExERERERcVIqbCIiIiIiIk5KhU1ERERERMRJqbCJiIiIiIg4KRU2ERERERERJ6XCVgcZhsHWwzl8snwvhmGYHUdERERERP6Ei9kBpPrlFZUw9K1lFJbY6RMVRPNgH7MjiYiIiIjIOegOWx3k5eZCt4j6ACxOTjc5jYiIiIiI/BkVtjoqLioYgAQVNhERERERp6XCVkfFtywtbCt2Z5JfVGJyGhERERERORcVtjqqZYN6NPB1J6+ohDV7j5sdR0REREREzkGFrY6yWCy/mxaZZnIaERERERE5FxW2OuzMtMjFyRkmJxERERERkXNRYavDekcGYbXAjqMnOJKdZ3YcERERERH5AxW2Oszfy42O4f4ALNFdNhERERERp6PCVsdpe38REREREeelwlbHnVnHtmRnOsUldpPTiIiIiIjI76mw1XEdw/zx83QlJ7+YDQezzY4jIiIiIiK/o8JWx9msFnpHBQGaFikiIiIi4mxU2IT46DPb+6uwiYiIiIg4ExU2cWw8suFgFsdzC01OIyIiIiIiZ6iwCaF+HrQKrYdhwNIUbe8vIiIiIuIsVNgEgLhobe8vIiIiIuJsVNgEKLuOzTAMk9OIiIiIiAiosMlpXZvVx9PVRtqJArannjA7joiIiIiIoMImp7m72IhtEQhoWqSIiIiIiLNQYRMHbe8vIiIiIuJcVNjE4czGI6v3ZpJbUGxyGhERERERUWETh2aBXjQJ8KKoxGDF7mNmxxERERERqfNU2MTBYrEQFx0EaB2biIiIiIgzUGGTMuKjQwAVNhERERERZ6DCJmXEtgjExWph37FT7M3INTuOiIiIiEidpsImZfi4u9C1WX0AFu/UXTYRERERETOpsMlZzkyL1Pb+IiIiIiLmUmGTs5zZeGT5rmMUFttNTiMiIiIiUnepsMlZ2jT0JbieO6cKS1izL9PsOCIiIiIidZYKm5zFYrHQJ0rb+4uIiIiImM3UwvbOO+/QoUMHfH198fX1JTY2ljlz5gCwd+9eLBbLOR/ffPON4z3279/P4MGD8fLyIiQkhIcffpji4uIyn2fRokV06dIFd3d3IiMjmTZt2llZ3nrrLZo1a4aHhwc9evRg1apVZa7n5+czduxYAgMD8fHxYfjw4Rw9erTyvylOIj46GICEHSpsIiIiIiJmMbWwhYWF8cILL5CUlMSaNWu49NJLGTJkCFu2bCE8PJwjR46UeTzzzDP4+PgwaNAgAEpKShg8eDCFhYUsX76cTz75hGnTpjFx4kTH59izZw+DBw+mX79+rF+/ngcffJA77riDefPmOcbMmDGD8ePH89RTT7F27Vo6duzIwIEDSUtLc4wZN24cP/30E9988w0JCQkcPnyYYcOGVd83q5r1iQrGYoHtqSc4mpNvdhwRERERkTrJYhiGYXaI3wsICOCll15i9OjRZ13r3LkzXbp04cMPPwRgzpw5XHXVVRw+fJgGDRoAMHXqVB599FHS09Nxc3Pj0UcfZfbs2WzevNnxPiNGjCArK4u5c+cC0KNHD7p168abb74JgN1uJzw8nPvuu4/HHnuM7OxsgoODmT59Otdddx0A27dvp3Xr1iQmJtKzZ89yfW05OTn4+fmRnZ2Nr6/vhX+TqsmQN5ey4WA2L13Xgb91DTc7joiIiIhIrVHebuA0a9hKSkr46quvyM3NJTY29qzrSUlJrF+/vkyRS0xMpH379o6yBjBw4EBycnLYsmWLY0z//v3LvNfAgQNJTEwEoLCwkKSkpDJjrFYr/fv3d4xJSkqiqKiozJhWrVrRpEkTx5hzKSgoICcnp8yjJjkzLXLxzgyTk4iIiIiI1E2mF7ZNmzbh4+ODu7s7d999N99//z1t2rQ5a9yHH35I69at6dWrl+O51NTUMmUNcHycmpr6l2NycnLIy8sjIyODkpKSc475/Xu4ubnh7+//p2POZdKkSfj5+Tke4eE16y5V3OnCtmRnOiV2p7oRKyIiIiJSJ5he2Fq2bMn69etZuXIl99xzD6NGjWLr1q1lxuTl5TF9+vRzTpN0ZhMmTCA7O9vxOHDggNmRKqRTuD/1PFzIOlXEpkPZZscREREREalzTC9sbm5uREZGEhMTw6RJk+jYsSOvvfZamTHffvstp06dYuTIkWWeDw0NPWunxjMfh4aG/uUYX19fPD09CQoKwmaznXPM79+jsLCQrKysPx1zLu7u7o4dMM88ahIXm5Xekae399dukSIiIiIi1c70wvZHdrudgoKCMs99+OGHXHPNNQQHB5d5PjY2lk2bNpXZzXH+/Pn4+vo6plXGxsayYMGCMq+bP3++Y52cm5sbMTExZcbY7XYWLFjgGBMTE4Orq2uZMTt27GD//v3nXG9Xmzi2909OO89IERERERGpbC5mfvIJEyYwaNAgmjRpwokTJ5g+fTqLFi0qs+V+SkoKixcv5ueffz7r9QMGDKBNmzbceuutTJ48mdTUVJ544gnGjh2Lu7s7AHfffTdvvvkmjzzyCLfffjsLFy7k66+/Zvbs2Y73GT9+PKNGjaJr1650796dKVOmkJuby2233QaAn58fo0ePZvz48QQEBODr68t9991HbGxsuXeIrKnOrGNbfyCL7FNF+Hm5mpxIRERERKTuMLWwpaWlMXLkSI4cOYKfnx8dOnRg3rx5XH755Y4xH330EWFhYQwYMOCs19tsNmbNmsU999xDbGws3t7ejBo1imeffdYxJiIigtmzZzNu3Dhee+01wsLC+OCDDxg4cKBjzA033EB6ejoTJ04kNTWVTp06MXfu3DIbkbz66qtYrVaGDx9OQUEBAwcO5O23366i74zzaOTvSVSIDzvTTrI0JYPBHRqaHUlEREREpM5wunPYarOadg7bGc/P2soHS/dwQ9dwXryug9lxRERERERqvBp3Dps4rzjHOrZ01O9FRERERKqPCpucV/eIADxcraTm5LMz7aTZcURERERE6gwVNjkvD1cbPSICAW3vLyIiIiJSnVTYpFzifzctUkREREREqocKm5TLmXVsq/Zkcqqw2OQ0IiIiIiJ1gwqblEuLYG8a+3tSWGJn5e5Ms+OIiIiIiNQJKmxSLhaLhfiWmhYpIiIiIlKdVNik3OKiSgvbYhU2EREREZFqocIm5dYrMhAXq4XdGbkcyDxldhwRERERkVpPhU3KzdfDlS5N6gOaFikiIiIiUh1U2KRCtI5NRERERKT6qLBJhZxZx5a46xiFxXaT04iIiIiI1G4qbFIhbRv5EujtxsmCYtbuP252HBERERGRWk2FTSrEarU4DtHWbpEiIiIiIlVLhU0qLC46CNA6NhERERGRqqbCJhXW5/Q6ti2Hc0g/UWByGhERERGR2kuFTSosyMeddo19AViyU3fZRERERESqigqbXJD4aG3vLyIiIiJS1VTY5IKc2d5/yc4M7HbD5DQiIiIiIrWTCptckC5N6+Pj7kJmbiGbD2ebHUdEREREpFZSYZML4mqzcklkIKDt/UVEREREqooKm1ywOK1jExERERGpUipscsHOrGNbuz+LnPwik9OIiIiIVJ6c/CKOZOeZHUMEF7MDSM0VHuBF82BvdqfnsjwlgyvaNTQ7koiIiMgFsdsNth7JISE5nYQd6STtPw7Ap7d355LIIJPTSV2mwiYXJT46mN3puSQkp6uwiYiISI1yPLeQJSkZLNqRxuLkDDJOFpw15omZm5n7YB/cXWwmJBRRYZOLFBcdzMfL9rI4OQPDMLBYLGZHEhERETmnErvBxoNZLNqRTkJyOhsOZmH87nQiLzcbvVoEEd8ymK5N6zPyo1Xsycjl/cW7uffSKPOCS52mwiYXpWdEIG4uVg5l5bEr/SSRIfXMjiQiIiLikHYinyXJGSxKTmfJznSyTpVdd98qtB7x0cGnS1oAbi7/2+LhicGteeCr9byxMIUhnRoTHuBV3fFFVNjk4ni62egREcCSnRkkJGeosImIiIipikrsrNufxaIdaSQkp7PlcE6Z6/U8XOgTFUTf6BDiooMJ9fP40/e6pmMjZqw+wPJdx3jqxy18OKqrZhNJtVNhk4sWHx18urClM7p3hNlxREREpI45nJXn2CxkWUoGJwqKy1xv39iPvi2DiY8OplO4Py628m2UbrFYeHZIOwa9tpiF29OYv/UoA9qGVsWXIPKnVNjkosVHB/P87G2s3H2M/KISPFy1KFdERESqTkFxCav3HCchufQuWvLRk2Wu1/dyJS46mL4tg+kTFUyQj/sFf67IEB/G9GnO24t28cxPW+kdFYSXm36EluqjP21y0SJDfGjo58GR7HxW7skk/vSB2iIiIiKVZf+xUyxKTiNhRzrLdx0jr6jEcc1qgU7h/sRHh9C3ZTDtGvths1be1MX7Lo3ih/WHOZSVx5sLU3jkilaV9t4i56PCJhfNYrEQHx3MV6sPkLAjXYVNRERELlpeYQkrdh8rneqYnM6ejNwy14PruRN/+i5a78gg/L3cqiyLp5uNp69py5hP1/D+kt0M69JY6/al2qiwSaWIO13YFu9MNzuKiIiI1ECGYbAr/aRjy/2VezIpLLY7rrtYLcQ0rU/fliHERwfTumG9at0A5PI2DbisVQgLtqfx5MwtTB/TQxuQSLVQYZNKcUlkEDarhZS0kxzKyqOxv6fZkURERMTJnSwoZllKhmPDkENZeWWuN/b3dKxF69UikHoeriYlLfX0NW1ZmpJB4u5j/LjhMEM6NTY1j9QNKmxSKfw8Xekc7s+afcdZnJzOjd2bmB1JREREnIxhGGw7cuL0NMc01uw9TrH9fydXu9ms9Gge4Jjq2CLYx6nuYoUHeHHfpZH83y/JPD97G/1aheBrcomU2k+FTSpNXHQwa/YdJ2GHCpuIiIiUyj5VxJKU0jtoCcnppJ0oKHO9WaCXY5pjj+YBTr8D45i45ny39hC7M3J55Zdknr6mrdmRpJZz7v9FSI0SHx3MK/OTWZaSQVGJHddynnEiIiIitYfdbrDpULZjs5B1+4/zu5toeLra6NUikPiWwcRFBdMsyNu8sBfA3cXGs0PaccuHK/k0cS9/6xpG20Z+ZseSWkyFTSpNu8Z+1Pdy5fipItYfyKJbswCzI4mIiEg1yDhZwJKdpXfRFu/MIDO3sMz1qBCf0wdXh9C1Wf0af2Zr76ggrurQkFkbj/DEzM389+5eWCvxGAGR31Nhk0pjs1roExXMjxsOk7AjXYVNRESkliousbP+QBYJyeks2pHOpkPZZa77uLvQOzKo9C5adHCt3IzsyavasGhHOuv2Z/H1mgOM0HIQqSIqbFKp4qJLC9vinek8NLCl2XFERESkkqRm57P49DTHJTvTyckvLnO9TUPf03fRgunStH6tXxrRwNeDcZdH89ysrbwwdzsD2oYS4F11Z8FJ3aXCJpUqLioIgE2Hsjl2soBAH3eTE4mIiMiFKCy2s2ZfpmPL/e2pJ8pc9/dypU9UaUGLiwoixNfDpKTmGRXblG/WHGB76gkmz93OC8M7mB1JaiEVNqlUIb4etGnoy9YjOSxNydD5JCIiIjXIgcxTjs1ClqdkkFtY4rhmsUDHMH/io4OJbxlMxzB/bHV83ZaLzcrzQ9tx3dREvlp9gL91DSemaX2zY0kto8ImlS4uOpitR3JI2JGuwiYiIuLE8otKWLknk4Qd6SxKTmN3em6Z60E+bsRFl95F6xMVrCl/59C1WQDXdw3j6zUHeWLmZn669xJcavl0UKleKmxS6eKjg5masIvFO9Ox2w3tmiQiIuIkDMNgT0auY7OQFbuPUVBsd1y3WS3ENKlP/Om1aG0a+urf8XJ4bFBrftl6lG1Hcvg0cR+3944wO5LUIipsUulimtbH281GxslCth7JoV1jnU0iIiJiltyCYhJ3HWNRchoJyekcyMwrcz3U18OxWUivyCD8PF1NSlpzBXi78cjAVjz+/SZemZ/MVR0a1sk1fVI1VNik0rm5WIltEcSv246SkJyuwiYiIlKNDMMg+ehJFu0oLWir92ZSVPK/k6tdbRa6RwSUrkWLDiG6gQ8Wi+6iXawR3cKZseYAGw5k8fzsbbx+Y2ezI0ktocImVSI+urSwLU5OZ2y/SLPjiIiI1GrZeUUsT8lg0Y7SDUNSc/LLXA8P8KRvdAjx0cHEtgjE210/AlY2q9XCv4e245o3l/LjhsPc0C2cSyKDzI4ltYD+1ypVIj46BNhC0r7jnMgvop6HpleIiIhUFrvdYOuRHMddtLX7syix/+8umruLldgWgafvogUTEeStu2jVoF1jP0bGNmPa8r08+cNm5jzQB3cXm9mxpIZTYZMq0STQi4ggb/Zk5JK46xgD2oaaHUlERKRGy8wtZMnO0jPRFu9MJ+NkYZnrLYK9iY8OIb5lMD0iAvBwVVEww/gB0czaeITd6bl8sGSPZhrJRVNhkyoTFxXk2IlKhU1ERKRiSuwG6w9kOc5F23gwC+N/N9HwdrPRKzLIcRctPMDLvLDi4OvhyhODW/PgjPW8sXAn13RspP82clFU2KTKxLcM5pPEfSQkp2MYhqZiiIiInEdaTr6joC3ZmUF2XlGZ661C6zm23O/aNAA3F5335YyGdGrEV6v3s2J3Js/8tJUPRnU1O5LUYCpsUmV6Ng/EzWbl4PE89mTk0jzYx+xIIiIiTqWoxE7SvuOlJW1HOluP5JS57uvhQp+o0oIWFx1MqJ+2iq8JLBYLzw9txxVTlvDrtqP8uvUo/ds0MDuW1FAqbFJlvNxc6BZRn2Upx0hITldhExERAQ5l5ZGwI52E5DSWpRzjZEFxmesdwvwc0xw7hfvjYtNdtJooMqQed/RpztSEXTz90xYuiQzC003rCqXiVNikSsVFBbMs5RiLk9O57ZIIs+OIiIhUu/yiElbvzTxd0tLZmXayzPUAbzfiooKIbxlMn6hggnzcTUoqle3+yyL5cf0hDh7P463fUnhoYEuzI0kNpMImVSq+ZTCT5mwncfcx8otKtGOViIjUCXtPb7qVkJxO4q5j5BWVOK5ZLdC5SX3io4Pp2zKYdo38sFq1zrs28nJz4alr2nLXZ0m8u3gX13ZpTAvNOJIKUmGTKtWyQT0a+LpzNKeANXuP0ztKB0iKiEjtc6qwmBW7jznuou09dqrM9ZB67qXTHFsG0ycyGD8vnU9aVwxo04B+LYP5bUc6T/2whc9Gd9dGbFIhKmxSpSwWC3FRwXyTdJCE5DQVNhERqVUycwv5YMluPlm+l9zC/91Fc7Fa6NqsPvHRIfRtGUyr0Hr6Ib2OslgsPHNNO5a/msDSlAxmbTzC1R0bmR1LahAVNqly8S3PFLZ0/jXY7DQiIiIXLzO3kPdPF7VTp4taY39Px5b7vVoEUs9Dd9GkVJNAL8b2i+SV+ck8N2srfVsG68+HlJsKm1S53pFBWC2QfPQkR7LzaOjnaXYkERGRC3LsZAHvL9nDp4n/K2ptG/nywGVRXN6mge6iyZ+6M6453687xJ6MXF6dv5OJV7cxO5LUENonVqqcv5cbHcP9AVicnG5uGBERkQuQcbKAST9vo8/k35iasItThSW0a+zL+yO7Muu+3gxoG6qyJn/Jw9XGM9e0BeCTxL1sPZxznleIlFJhk2oRFxUMwOLkDJOTiIiIlF/GyQL+8/M2+rz4G+8u3s2pwhLaN/bjg5Fd+ene3rqrJhUSFx3M4PYNKbEbPPnDZux2w+xIUgNoSqRUi/iWwby2YCdLdqZTXGLXIaAiIuLU0k8U8N7iXXy+Yr9jS/4OYX482D+Kfi1DVNLkgj15VRsW7Ugjad9xvk06yPXdws2OJE5OhU2qRccwf/w8XcnOK2LDwSximgaYHUlEROQsaSfyeS9hN5+v3Ed+kR2AjmF+PNg/mr4tg1XU5KKF+nkw7vJonp+9jUlztnF5mwbU93YzO5Y4Md3mkGphs1ocW/onaFqkiIg4mbQT+Tw3ayt9XvyND5buIb/ITsdwfz6+rRszx15Cv1a6qyaVZ1SvZrRsUI/jp4qYPG+H2XHEyamwSbWJjy5dx5agjUdERMRJpOXk8+xPpUXtw6V7KCi20yncn2m3dWPmP3pp+qNUCVebleevbQfAV6v3s3b/cZMTiTPTlEipNmc2Htl4MIvjuYW6/S8iIqY5mpPPO4t28eWq/RQUl0597NzEnwf7RxMXFaSSJlWuW7MArosJ49ukgzw5czM/jL1Ea/zlnFTYpNqE+nnQKrQe21NPsCQlg2s6NjI7koiI1DGp2flMTdjF9FX7KTxd1GKa1ueBy6Loo6Im1WzCoFbM33qULYdz+HzFPv5+SYTZkcQJqcZLtYqLPrO9v6ZFiohI9UnNzuepHzYT99JvTFu+l8JiO12b1ufz0T349u5Y4qK1oYhUv0Afdx4e2BKAl39JJu1EvsmJxBmpsEm1+v06NsPQ2SMiIlK1jmTnMfGHzcRN/o1PEvdRWGynW7P6fHFHD765O5beuqsmJruxexM6hvlxoqCY/8zeZnYccUKaEinVqmuz+ni62kg/UcC2Iydo08jX7EgiIlILHc7K451Fu5ix+gCFJaVTH7s3C+DB/lHEtghUSROnYbNaeH5oe655aykz1x/m+m7h9GoRZHYscSK6wybVyt3FRmyLQAAW79S0SBERqVyHsvJ4YuYm+r60iM9W7KOwxE73iACmj+nBjLt60itSd9TE+bQP8+PWnk0BeHLmZsf6ShFQYRMTOKZF7lBhExGRynHw+Cke/34TfV/6jc9X7KewxE6PiAC+HNOTr++KpVcLFTVxbv8c0JIgHzd2pefy4dI9ZscRJ6IpkVLtzmw8smZfJrkFxXi764+hiIhcmIPHT/HWb7v4NukARSWla6NjmwfyQP8oejYPNDmdSPn5ebry+JWtGf/1Bl5fsJOrOzYkrL6X2bHECZh6h+2dd96hQ4cO+Pr64uvrS2xsLHPmzCkzJjExkUsvvRRvb298fX2Ji4sjLy/PcT0zM5Obb74ZX19f/P39GT16NCdPnizzHhs3bqRPnz54eHgQHh7O5MmTz8ryzTff0KpVKzw8PGjfvj0///xzmeuGYTBx4kQaNmyIp6cn/fv3Z+fOnZX43ag7mgV60STAi6ISg8Rdx8yOIyIiNdCBzFNM+G4j/f5vEV+u2k9RiUGvFoHMuLMnX97ZU2VNaqRrOzeme0QAeUUlPPvTVrPjiJMwtbCFhYXxwgsvkJSUxJo1a7j00ksZMmQIW7ZsAUrL2hVXXMGAAQNYtWoVq1ev5t5778Vq/V/sm2++mS1btjB//nxmzZrF4sWLufPOOx3Xc3JyGDBgAE2bNiUpKYmXXnqJp59+mvfee88xZvny5dx4442MHj2adevWMXToUIYOHcrmzZsdYyZPnszrr7/O1KlTWblyJd7e3gwcOJD8fG2/WlEWi4W46NLFtFrHJiIiFXEg8xSP/fdMUSu9q3ZJZCBf3xXL9DE96aGiJjWYxWLh+aHtcLFa+GXrURZuP2p2JHECFsPJ9lYPCAjgpZdeYvTo0fTs2ZPLL7+c55577pxjt23bRps2bVi9ejVdu3YFYO7cuVx55ZUcPHiQRo0a8c477/Cvf/2L1NRU3NzcAHjssceYOXMm27dvB+CGG24gNzeXWbNmOd67Z8+edOrUialTp2IYBo0aNeKf//wnDz30EADZ2dk0aNCAadOmMWLEiHJ9bTk5Ofj5+ZGdnY2vb93eHXH+1qOM+XQNTQO9SHi4n9lxRETEye0/doq3fkvhv2sPUmwv/dGld2QQD/SPoluzAJPTiVSuST9v493FuwkP8GT+uHg8XG1mR5IqUN5u4DSbjpSUlPDVV1+Rm5tLbGwsaWlprFy5kpCQEHr16kWDBg2Ij49n6dKljtckJibi7+/vKGsA/fv3x2q1snLlSseYuLg4R1kDGDhwIDt27OD48eOOMf379y+TZ+DAgSQmJgKwZ88eUlNTy4zx8/OjR48ejjHnUlBQQE5OTpmHlIptEYirzcK+Y6fYm5FrdhwREXFS+4+d4pFvN9Dv5UXMWHOAYrtBn6ggvr07ls/v6KGyJrXS/ZdF0dDPgwOZebz9W4rZccRkphe2TZs24ePjg7u7O3fffTfff/89bdq0Yffu3QA8/fTTjBkzhrlz59KlSxcuu+wyx9qx1NRUQkJCyryfi4sLAQEBpKamOsY0aNCgzJgzH59vzO+v//515xpzLpMmTcLPz8/xCA8PL/83ppbzcXchpml9QNMiRUTkbHszcnnom9Ki9vWag5TYDeKig/nvPb34bHQPuqqoSS3m7e7CU1e3AWBqwm726JfbdZrpha1ly5asX7+elStXcs899zBq1Ci2bt2K3V56/sRdd93FbbfdRufOnXn11Vdp2bIlH330kcmpy2fChAlkZ2c7HgcOHDA7klOJjy4t29reX0REztibkcs/v97AZa8k8G1SaVGLjw7mu3/04tPbuzt+2SdS2w1sG0p8dDCFJXYm/rAZJ1vFJNXI9P3U3dzciIyMBCAmJobVq1fz2muv8dhjjwHQpk2bMuNbt27N/v37AQgNDSUtLa3M9eLiYjIzMwkNDXWMOXq07ILNMx+fb8zvr595rmHDhmXGdOrU6U+/Nnd3d9zd3c/zHai74qKDeHEuJO4+RkFxCe4ump8tIlJX7cnI5Y2FO/lh/WFKTq9R69symAcui6JzE5U0qXssFgvPXNOWAVMWs2RnBj9vSmVwh4bnf6HUOqbfYfsju91OQUEBzZo1o1GjRuzYsaPM9eTkZJo2LT0JPjY2lqysLJKSkhzXFy5ciN1up0ePHo4xixcvpqioyDFm/vz5tGzZkvr16zvGLFiwoMznmT9/PrGxsQBEREQQGhpaZkxOTg4rV650jJGKa9PQl+B67pwqLCFp73Gz44iIiAl2p59k/Iz1XPbyIr5be4gSu0G/lsHMHHsJ027rrrImdVqzIG/+0bcFAM/O2sLJgmKTE4kZTC1sEyZMYPHixezdu5dNmzYxYcIEFi1axM0334zFYuHhhx/m9ddf59tvvyUlJYUnn3yS7du3M3r0aKD0btsVV1zBmDFjWLVqFcuWLePee+9lxIgRNGrUCICbbroJNzc3Ro8ezZYtW5gxYwavvfYa48ePd+R44IEHmDt3Li+//DLbt2/n6aefZs2aNdx7771A6W84HnzwQZ5//nl+/PFHNm3axMiRI2nUqBFDhw6t9u9bbWGxWOgTVbq9f4LWsYmI1Cm70k8ybsZ6+r+SwHfrDmE34NJWIfww9hI+vq07ncL9zY4o4hTujm9B00AvjuYUMGV+stlxxASmTolMS0tj5MiRHDlyBD8/Pzp06MC8efO4/PLLAXjwwQfJz89n3LhxZGZm0rFjR+bPn0+LFi0c7/HFF19w7733ctlll2G1Whk+fDivv/6647qfnx+//PILY8eOJSYmhqCgICZOnFjmrLZevXoxffp0nnjiCR5//HGioqKYOXMm7dq1c4x55JFHyM3N5c477yQrK4vevXszd+5cPDw8quE7VXvFRwfz3dpDJOxIZ8Kg1mbHERGRKpaSdpI3F+7kxw2HOT3zkctahfBA/yg6hPmbmk3EGXm42njmmrb8/ePVfLx8L9d1DaNVaN0+Hqqucbpz2GozncN2tszcQmKen49hwMrHL6OBrwqwiEhtlJJ2gtcXpPDTxsOc+cmjf+sGPHBZFO3D/MwNJ1ID3PN5EnM2p9K1aX2+visWq9VidiS5SOXtBqZvOiJ1W4C3Gx0a+7HhYDaLk9P5W1cdfSAiUpvsPHqC1xemMOt3Re3yNqVFrV1jFTWR8nryqjYkJKezZt9x/rv2oH5mqkOcbtMRqXvio4MBSEjWOjYRkdoi+egJ7p2+lgFTFvPThtKyNqBNA2bd15v3R3ZVWROpoEb+njzYPwqASXO2k3Wq0OREUl1U2MR0cacL29KUDMdWziIiUjPtSD3B2OlrGThlMbM2HsEwYGDbBsy+vzfvqaiJXJTbLokguoEPmbmFvDRvx/lfILWCpkSK6TqF+1PPw4WsU0VsPJilLZxFRGqgHakneH3BTmZvOuJ47oq2odx/WRRtGmndtkhlcLVZeW5IO254bwXTV+3nb13DtaNqHaA7bGI6F5uV3pGl2/svTs4wOY2IiFTE9tQc/vFFEgOnLHaUtUHtQpnzQB+m3hqjsiZSyXo0D2RYl8YYBjwxc5NmJ9UBKmziFP63ji3N5CQiIlIeWw/ncPdnSVwxZQk/b0oFYHD7hsx9sA/v3BJD64YqaiJVZcKg1vh6uLD5UA5frNxndhypYpoSKU7hzDq29QeyyD5VhJ+Xq8mJRETkXLYczub1BTuZt+UoABYLXNm+IfdfGkXL0HompxOpG4LrufPwwJY8+cMWXpq3g0HtGhJcz93sWFJFdIdNnEIjf0+iQnywG6Wbj4iIiHPZfCibOz9dw+DXlzJvy1EsFriqQ0PmPRjHWzd1UVkTqWY39WhK+8Z+nMgvZtLP28yOI1VIhU2chqZFiog4n82Hshnz6RquemMpv2wtLWpXd2zELw/G8eZNXYhuoKImYgab1cLzQ9thscB36w6xYvcxsyNJFVFhE6dxZlrk4uQMDEMLaEVEzLT5UDZ3fFJa1OafLmrXdGzE/HFxvHFjZ6JU1ERM1zHcn5t7NAHgyZmbKSqxm5xIqoLWsInT6B4RgIerldScfJKPntT0GhERE2w6mM1rC5L5dVvpbAfr6aJ276VRRIb4mJxORP7o4QGtmLMplZ1pJ/lo6R7uim9hdiSpZLrDJk7Dw9VGj4hAABYnp5ucRkSkbtlwIIvbp63m6jeX8uu2NKwWuLZzY+aPj2fKiM4qayJOys/LlQlXtgZgyq87OZyVZ3IiqWwqbOJU/reOTYVNRKQ6rD+QxW0fr2LIW8tYuL20qA3r3Jhfx8fz6g2daBGsoibi7IZ3aUz3ZgHkFZXw7E9bzY4jlUxTIsWpxLcMhlmwak8mpwqL8XLTH1ERkaqwbv9xXluwk0U7Sn9BZrXA0M6NubdfJM1V0kRqFIvFwrND2zL49aXM3ZLKbzvS6NcyxOxYUkn007A4leZB3jT29+RQVh4rd2fSr5X+shERqUxr9x/ntV93OmYy2KwWhnZqzL2XRhIR5G1yOhG5UK1Cfbn9kma8v2QPT/2whdhxgXi42syOJZVAUyLFqVgsltK7bGhapIhIZUrad5yRH61i2NvLSUhOx2a1cF1MGAvGx/Py9R1V1kRqgQf6RxPq68H+zFO8s2iX2XGkkqiwidOJizqzvb8Km4jIxUral8mtH65k+DvLWXy6qF3fNYyF/4zn//7WkWYqaiK1ho+7CxOvbgPAOwm72JuRa3IiqQyaEilOp1dkIC5WC7szcjmQeYrwAC+zI4mI1Dhr9mYy5dedLE3JAMDFamF4lzDG9oukSaD+XhWprQa1C6VPVBBLdmYw8cctfHJbNywWi9mx5CLoDps4HV8PV7o0qQ9oWqSISEWt2pPJzR+s4LqpiSxNycDFamFEt3B+e6gvL17XQWVNpJazWCw8O6QdbjYri5PTmbs51exIcpFU2MQpaR2biEjFrNx9jJveX8H17yayLOUYLlYLN3YvLWovDO+g2QoidUhEkDd39y09QPuZn7ZysqDY5ERyMVTYxCmdOY9teUoGhcV2k9OIiDivFbuPceN7K7jhvRUs33UMV5uFG7s34beH+jJpmIqaSF31j74taBLgRWpOPq8v2Gl2HLkIWsMmTqlNQ18Cvd04llvI2v3H6dk80OxIIiJOJXHXMV5bkMyK3ZkAuNos/K1rOP/o24Kw+ippInWdh6uNZ65py23TVvPR0j0M7xJGy9B6ZseSC6A7bOKUrFYLcdGaFiki8nuGYbB8VwY3vJvIje+vYMXuTFxtFm7p2YRFD/fjP9e2V1kTEYd+rUIY2LYBxXaDJ2duxjAMsyPJBVBhE6cVFx0EaHt/ERHDMFieksEN763gpvdXsnJPJm42K7f2bErCw/14fmh7Gvt7mh1TRJzQxKvb4ulqY9XeTL5be8jsOHIBNCVSnFaf0+exbTmcQ9qJfELqeZicSESkepXeUTvGlF+TWb33OABuNisjuodzT98WNPRTSRORv9bY35MH+kfxwpzt/OfnbfRv3QA/L1ezY0kF6A6bOK0gH3faNfYFYElyhslpRESqj2EYLN2Zwd+mJnLzBytZvfc4bi5WRsU2JeGRvjw7pJ3KmoiU2+2XRBAZ4sOx3EL+75cdZseRClJhE6d2ZrfIxTs1LVJEaj/DMFiyM53rpiZyy4crWbOvtKj9vVczFj/cj2dU1ETkAri5WHluSDsAPl+5j40Hs8wNJBWiwiZOLT46BIAlOzOw27VQVkRqJ8MwSEhOZ/g7y7n1w1Uk/a6oLXmkH09f05ZQP00LF5ELF9sikGs7N8Yw4ImZmynRz1U1htawiVPr3MQfH3cXMnML2Xw4mw5h/mZHEhGpNGeK2msLdrJufxYA7i5WburRhLvjW9DAVyVNRCrPhCtb8eu2o2w8mM2Xq/ZzS8+mZkeSctAdNnFqrjYrl0SWnsGWsEPTIkWkdjAMg992pHHt28v5+8erWbc/C3cXK6N7R7DkkX48dXVblTURqXQh9Tx4aEBLACbP3U7GyQKTE0l5qLCJ04vTOjYRqUW2Hclh6NvLue3j1aw/kIWHq5U7ekew5NF+PHlVG0JU1ESkCt3SsyltG/mSk1/MpJ+3mx1HyqHChS0vL49Tp045Pt63bx9Tpkzhl19+qdRgImfEnd7ef+3+LLLzikxOIyJy4VKz8xn50So2nC5qY/pEsOSRS3niqjY6ukREqoXNauH5oe2wWOC/aw+yak+m2ZHkPCpc2IYMGcKnn34KQFZWFj169ODll19myJAhvPPOO5UeUCQ8wIvmwd6U2EsPjhURqYnyi0q467M1pJ8ooGWDeix55FL+NbgNwfXczY4mInVM5yb1ubF7EwCenLmZohK7yYnkr1S4sK1du5Y+ffoA8O2339KgQQP27dvHp59+yuuvv17pAUVA2/uLSM1mGAYTvtvEhoPZ+Hu58v7IripqImKqRwa2JMDbjR1HTzBt2V6z48hfqHBhO3XqFPXq1QPgl19+YdiwYVitVnr27Mm+ffsqPaAI/K+wJexIxzC0Da2I1CzvL9nN9+sOYbNaePumLjQJ9DI7kojUcf5ebjw2qBUAr/6azJHsPJMTyZ+pcGGLjIxk5syZHDhwgHnz5jFgwAAA0tLS8PX1rfSAIgA9IgJxc7FyODufXeknzY4jIlJuv+1IY9Kc0oX9T13dhl6RQSYnEhEpdV2XMLo2rc+pwhKem7XV7DjyJypc2CZOnMhDDz1Es2bN6N69O7GxsUDp3bbOnTtXekARAE83Gz0iAgBYpO39RaSG2JV+kvu/XIdhwI3dw7lVZx6JiBOxWi08N7QdNquFnzelkpCsn7GcUYUL23XXXcf+/ftZs2YN8+bNczx/2WWX8eqrr1ZqOJHf+986Nm08IiLOLzuviDGfrOFEfjHdmtXnmWvaYbFYzI4lIlJG64a+/L1XMwCe+mEz+UUl5gaSs1zQOWyhoaF07tyZQ4cOceDAAQC6d+9Oq1atKjWcyO+dKWwrdx/TXyYi4tRK7Ab3f7mO3Rm5NPLz4J1bYnBz0dGnIuKcHuwfRQNfd/YeO8W7CbvNjiN/UOF/PYqLi3nyySfx8/OjWbNmNGvWDD8/P5544gmKinRGllSdyBAfGvp5UFBsZ8XuY2bHERH5Uy/O3U5CcjoerlbeG9mVIB/tCCkizquehytPXtUGgLcWpbDvWK7JieT3KlzY7rvvPt577z0mT57MunXrWLduHZMnT+bDDz/k/vvvr4qMIgBYLJb/TYtM1rRIEXFO3609yHuLS39D/X9/60i7xn4mJxIROb/B7RvSOzKIwmI7T/+4RbtyO5EKF7bp06czbdo07rrrLjp06ECHDh246667+PDDD5k+fXpVZBRxcGzvn5xmchIRkbOtP5DFY99tAuDefpFc1aGRyYlERMrHYrHw7JC2uNms/LYjnXlbjpodSU6rcGFzd3enWbNmZz0fERGBm5tbZWQS+VO9IoOwWS3sSs/l4PFTZscREXFIy8nnrs/WUFhsp3/rBoy/PNrsSCIiFdI82Ie74psD8OxPW8gtKDY5kcAFFLZ7772X5557joKCAsdzBQUF/Pvf/+bee++t1HAif+Tn6UrncH9A0yJFxHnkF5Vw52dJHM0pICrEh1dv6IjVqh0hRaTmGdsvkvAATw5n5/P6wp1mxxEuoLCtW7eOWbNmERYWRv/+/enfvz9hYWH89NNPbNiwgWHDhjkeIlUhzrGOTWeFiIj5DMPg8e83sf5AFn6ernwwqiv1PFzNjiUickE8XG08fXVbAD5csoedR0+YnEhcKvoCf39/hg8fXua58PDwSgskcj7x0cG8Mj+ZZSkZFJXYcbVpq2wRMc+HS/fw3dpD2KwW3r65C00Dvc2OJCJyUS5r3YDL2zRg/tajPDFzM1/d2VPnSJqowoXt448/roocIuXWrrEf9b1cOX6qiHX7s+geEWB2JBGpoxKS0/nPz9sAeGJway6JDDI5kYhI5Xjq6jYs2ZnOyj2ZzFx/iGs7h5kdqc7SrQmpcWxWC32iNC1SRMy1O/0k901fi92A67uG8fdezcyOJCJSacLqe3H/ZVEA/Hv2drLzdN6yWcpV2Lp06cLx48cB6Ny5M126dPnTh0h1+N/2/ipsIlL9cvKLuOPTNeTkFxPTtD7PDW2n6UIiUuvc0bs5LYK9yThZwCu/7DA7Tp1VrimRQ4YMwd3dHYChQ4dWZR6RcukTXTrtaNOhbDJOFhDk425yIhGpK0rsBg98uY7d6bk09PNg6i0xuLvYzI4lIlLp3FysPDekHTd9sJLPVuzjuphw2of5mR2rzilXYXvqqacAKCkpoV+/fnTo0AF/f/+qzCXyl0LqedCmoS9bj+SwdGcGQzs3NjuSiNQRL83bwW870nF3sfLerV0JrqdfGIlI7dUrMoghnRrxw/rDPPHDZr6/p5eOLalmFVrDZrPZGDBggGN6pIiZtL2/iFS3H9YfYmrCLgAmX9dBv2kWkTrhX1e2pp67CxsOZPHV6gNmx6lzKrzpSLt27di9e3dVZBGpkDPr2BbvTMduN0xOIyK13caDWTzy7UYA7unbgiGddGdfROqGEF8Pxg+IBuDFuds5drLA5ER1S4UL2/PPP89DDz3ErFmzOHLkCDk5OWUeItUlpml9vN1sZJwsZOsR/dkTkaqTlpPPnZ8mUVBs57JWITw0oKXZkUREqtWtPZvSpqEv2XlFvDBnu9lx6pRyF7Znn32W3NxcrrzySjZs2MA111xDWFgY9evXp379+vj7+1O/fv2qzCpShpuLldgWpZuPaLdIEakqBcUl3P15Eqk5+USG+DBlRCdsWr8hInWMi83K89e2A+CbpIOs2ZtpcqK6w2IYRrnmktlsNo4cOcK2bdv+clx8fHylBKuNcnJy8PPzIzs7G19fX7Pj1AqfrdjHkzM30z0igK/vijU7jojUMoZh8Mi3G/km6SC+Hi78cG9vIoK8zY4lImKaCd9t5MtVB2gVWo9Z9/XGxaZjnS9UebtBuXaJhNJ/tECFTJxL/OkDtNfuO86J/CLqebianEhEapOPl+3lm6SDWC3w5k1dVNZEpM57ZGAr5m5OZXvqCaYt38sdfZqbHanWq1Al1qGg4myaBHoREeRNsd1g+a5jZscRkVpkyc50np+9FYB/DW7j2JlWRKQuq+/txmODWgHw6vxkUrPzTU5U+1WosEVHRxMQEPCXD5HqFhdVuo5N2/uLSGXZm5HLvdPXYTfgupgwbr+kmdmRREScxt9iwunSxJ/cwhKeO/2LLak65Z4SCfDMM8/g56czZ8S5xLcM5pPEfSQkp2MYhu4Ei8hFOZFfxB2friE7r4jOTfz597Xt9PeKiMjvWK0WnhvajqvfWMrsjUcY0S2dPlGahVBVKlTYRowYQUhISFVlEbkgPZsH4mazcvB4HrszcmkR7GN2JBGpoUrsBg9+tZ6UtJOE+nrw7i0xuLvYzI4lIuJ02jbyY1SvZny8bC8Tf9jC3Af76O/LKlLuKZH67aI4Ky83F7pFlB4poWmRInIxXv5lBwu2p+HuYuXdW2MI8fUwO5KIiNMaf3k0IfXc2ZORy3sJu82OU2uVu7CVc/d/EVPEn94MQOexiciF+nHDYd5etAuAydd1oGO4v7mBREScXD0PV564qg0Ab/6WwoHMUyYnqp3KXdjsdrumQ4rTOrN724rdx8gvKjE5jYjUNJsPZfPItxsAuCu+OUM6NTY5kYhIzXB1h4b0ahFIQbGdp37cops8VUAn3Umt0LJBPRr4upNfZGf13kyz44hIDZJ+ooAxn64hv8hOv5bBPDKwldmRRERqDIvFwrND2uFqs7Bwexrztx41O1Kto8ImtYLFYiHu9O5EWscmIuVVUFzC3Z8ncSQ7n+bB3rx2Y2dsVq3ZFhGpiMgQH+6MKz1A+5mftnKqsNjkRLWLCpvUGvEttY5NRMrPMAwmztxC0r7j1PNw4YORXfH1cDU7lohIjXRvvyga+3tyKCuPNxemmB2nVilXYevSpQvHjx8H4Nlnn+XUKS0oFOfTOzIIqwWSj57kcFae2XFExMl9snwvM9YcwGqBN2/qQnMdCSIicsE83Ww8fU1bAN5fspuUtBMmJ6o9ylXYtm3bRm5uLlB6ePbJkyerNJTIhfD3cnPs6rZkp+6yicifW5aSwXOztwEwYVBrx06zIiJy4S5v04D+rUMoKjF4cqY2IKks5To4u1OnTtx222307t0bwzD4v//7P3x8zv2byIkTJ1ZqQJGKiI8OZt3+LBKS07mhWxOz44iIE9p3LJex09dSYjcY1rkxd/SJMDuSiEit8dTVbVmakkHi7mP8uOGwdt2tBBajHNV3x44dPPXUU+zatYu1a9fSpk0bXFzO7noWi4W1a9dWSdDaICcnBz8/P7Kzs/H19TU7Tq20dv9xhr29HF8PF9Y+eTkuNi3TFJH/OVlQzLC3l5F89CQdw/2ZcWdPPFxtZscSEalV3vothZfm7SC4njsL/hmv9cF/orzdoFx32Fq2bMlXX30FgNVqZcGCBTqTTZxSxzB//Dxdyc4rYsPBLGKaBpgdSUSchN1uMG7GepKPniSknjvv3RqjsiYiUgXu6BPBf5MOsjsjl1d+SXasbZMLU+HbDzpAW5yZzWqhd1QQAAk7tI5NRP7n1V+Tmb/1KG4uVt4b2ZUGvh5mRxIRqZXcXWw8O6QdAJ8m7mXzoWyTE9VsFzRfbNeuXdx3333079+f/v37c//997Nr164Kv88777xDhw4d8PX1xdfXl9jYWObMmeO43rdvXywWS5nH3XffXeY99u/fz+DBg/Hy8iIkJISHH36Y4uKyZz8sWrSILl264O7uTmRkJNOmTTsry1tvvUWzZs3w8PCgR48erFq1qsz1/Px8xo4dS2BgID4+PgwfPpyjR3UwoDM6s3lAws4Mk5OIiLOYtfEwb5zeZvqFYe3pdHqDIhERqRq9o4K4umMj7AY8MXMzdrs2ILlQFS5s8+bNo02bNqxatYoOHTrQoUMHVq5cSdu2bZk/f36F3issLIwXXniBpKQk1qxZw6WXXsqQIUPYsmWLY8yYMWM4cuSI4zF58mTHtZKSEgYPHkxhYSHLly/nk08+Ydq0aWU2PtmzZw+DBw+mX79+rF+/ngcffJA77riDefPmOcbMmDGD8ePH89RTT7F27Vo6duzIwIEDSUtLc4wZN24cP/30E9988w0JCQkcPnyYYcOGVfTbJ9XgzAHaGw9mkZlbaHIaETHb5kPZPPTNBgDG9IlgWJcwkxOJiNQNTwxujY+7C+sPZPH1mgNmx6mxyrXpyO917tyZgQMH8sILL5R5/rHHHuOXX3656E1HAgICeOmllxg9ejR9+/alU6dOTJky5Zxj58yZw1VXXcXhw4dp0KABAFOnTuXRRx8lPT0dNzc3Hn30UWbPns3mzZsdrxsxYgRZWVnMnTsXgB49etCtWzfefPNNoHTaZ3h4OPfddx+PPfYY2dnZBAcHM336dK677joAtm/fTuvWrUlMTKRnz57l+tq06Uj1uWLKYrannuD1GztzTcdGZscREZNknCzgmjeWcjg7n/joYD76ezdsVovZsURE6owPl+7huVlb8fdyZeE/+xLg7WZ2JKdR3m5Q4Tts27ZtY/To0Wc9f/vtt7N169aKvp1DSUkJX331Fbm5ucTGxjqe/+KLLwgKCqJdu3ZMmDChzKHdiYmJtG/f3lHWAAYOHEhOTo7jLl1iYiL9+/cv87kGDhxIYmIiAIWFhSQlJZUZY7Va6d+/v2NMUlISRUVFZca0atWKJk2aOMacS0FBATk5OWUeUj0c0yK1jk2kziostnPP50kczs6neZA3r9/YWWVNRKSajYptSqvQemSdKuLFOdvNjlMjVbiwBQcHs379+rOeX79+/QVtRrJp0yZ8fHxwd3fn7rvv5vvvv6dNmzYA3HTTTXz++ef89ttvTJgwgc8++4xbbrnF8drU1NQyZQ1wfJyamvqXY3JycsjLyyMjI4OSkpJzjvn9e7i5ueHv7/+nY85l0qRJ+Pn5OR7h4eEV+M7IxYg7XdgW70zXoY0idZBhGDz14xZW7z1OPXcX3h/VFT9PbSstIlLdXGxW/n1t6QYkM9YcIGlfpsmJap5ybev/e2PGjOHOO+9k9+7d9OrVC4Bly5bx4osvMn78+AoHaNmyJevXryc7O5tvv/2WUaNGkZCQQJs2bbjzzjsd49q3b0/Dhg257LLL2LVrFy1atKjw56puEyZMKPM9ycnJUWmrJl2b1cfT1Ub6iQK2HTlBm0aagipSl3y+Yh9frtqPxQKv39iZFsE+ZkcSEamzYpoGcH3XML5ec5AnZm7hp3sv0Vm5FVDhwvbkk09Sr149Xn75ZSZMmABAo0aNePrpp7n//vsrHMDNzY3IyEgAYmJiWL16Na+99hrvvvvuWWN79OgBQEpKCi1atCA0NPSs3RzP7NwYGhrq+L9/3M3x6NGj+Pr64unpic1mw2aznXPM79+jsLCQrKysMnfZfj/mXNzd3XF3dy/Pt0EqmbuLjdgWgSzcnkZCcroKm0gdsnxXBk//VDpF/7ErWtGvlY6iEREx22ODWvPL1qNsO5LDp4n7uL13hNmRaowKV1uLxcK4ceM4ePAg2dnZZGdnc/DgQR544AEslotfG2C32ykoKDjntTNTMRs2bAhAbGwsmzZtKrOb4/z58/H19XVMq4yNjWXBggVl3mf+/PmOdXJubm7ExMSUGWO321mwYIFjTExMDK6urmXG7Nixg/3795dZbyfO5cw6tsXJWscmUlccyDzF2C/WUmI3uLZzY+6Ma252JBERAQK83Xj0ilYAvDI/maM5+SYnqjkqfIft9+rVq3dRn3zChAkMGjSIJk2acOLECaZPn86iRYuYN28eu3btYvr06Vx55ZUEBgayceNGxo0bR1xcHB06dABgwIABtGnThltvvZXJkyeTmprKE088wdixYx13tu6++27efPNNHnnkEW6//XYWLlzI119/zezZsx05xo8fz6hRo+jatSvdu3dnypQp5ObmcttttwHg5+fH6NGjGT9+PAEBAfj6+nLfffcRGxtb7h0ipfqdWce2Zl8muQXFeLtf1B93EXFyuQXFjPl0DcdPFdEhzI9Jw9pXyi8SRUSkctzQNZwZqw+w/kAWz8/exhs3djY7Uo1g6k+waWlpjBw5kiNHjuDn50eHDh2YN28el19+OQcOHODXX391lKfw8HCGDx/OE0884Xi9zWZj1qxZ3HPPPcTGxuLt7c2oUaN49tlnHWMiIiKYPXs248aN47XXXiMsLIwPPviAgQMHOsbccMMNpKenM3HiRFJTU+nUqRNz584tsxHJq6++itVqZfjw4RQUFDBw4EDefvvt6vlGyQVpFuhFkwAv9meeInHXMfq3aXD+F4lIjWS3G4z/ej3bU08QXM+d927tioerzexYIiLyO1arheeHtuOaN5fy04bDjOgWziWRQWbHcnoVPodNLpzOYat+T87czGcr9nFrz6Y8N7Sd2XFEpIq8Mj+Z1xfsxM1m5au7etKlSX2zI4mIyJ94+sctTFu+l+bB3sx5oA/uLnXzF2xVdg6bSE3y++39RaR2mrPpCK8v2AnAf4a1V1kTEXFy4wdEE+Tjzu70XD5YssfsOE6vQoWtqKiIyy67jJ07d1ZVHpFKFdsiEFebhX3HTrE3I9fsOCJSybYezmH81xsAGN07gutiwkxOJCIi5+Pr4cqTV7UG4I2FOzmQecrkRM6tQoXN1dWVjRs3VlUWkUrn4+5CTNPS37YnaLdIkVrl2MkCxny6hryiEvpEBTFhUCuzI4mISDld07ERsc0DyS+y88zpo1jk3Co8JfKWW27hww8/rIosIlUiPrr0DCZt7y9SexQW27nni7UcysqjWaAXb97YRYewiojUIBaLheeGtsXFauHXbUeZv/Xo+V9UR1V4l8ji4mI++ugjfv31V2JiYvD29i5z/ZVXXqm0cCKVIS46iBfnwvJdxygoLqmzC1tFapNnftrCqj2Z+Li78MGorvh5uZodSUREKigypB5j4przzqJdPP3jFnpHBuHppp/T/qjChW3z5s106dIFgOTk5DLXdN6NOKM2DX0JrudO+okCkvYep5e2jxWp0T5fsY8vVu7HYoHXb+xEZMjFnQkqIiLmue/SSH5cf5hDWXm89VsKDw1saXYkp1Phwvbbb79VRQ6RKmOxWIiLCua/aw+SkJyuwiZSg63YfYynf9wCwMMDW3JpK52vKCJSk3m5uTDx6jbc9VkS7y7exbVdGtMi2MfsWE7lgif8p6SkMG/ePPLy8gDQcW7izOKiS0uaNh4RqbkOZJ7iH1+spdhucE3HRtwT38LsSCIiUgkGtGnApa1CKCoxmPjDZvWKP6hwYTt27BiXXXYZ0dHRXHnllRw5cgSA0aNH889//rPSA4pUhj5RwVgssD31BEdz8s2OIyIVlFtQzJhP15CZW0j7xn68OLyDpuGLiNQSFouFp69ui7uLlWUpx/hp4xGzIzmVChe2cePG4erqyv79+/Hy8nI8f8MNNzB37txKDSdSWQK83ejQ2A/QXTaRmsZuN3jomw1sTz1BkI87742M0aJ0EZFapkmgF/f2iwTg+VlbOZFfZHIi51HhwvbLL7/w4osvEhZW9nDSqKgo9u3bV2nBRCpbfHQwoO39RWqaNxamMGdzKm42K+/e2oWGfp5mRxIRkSpwZ3xzIoK8STtRwKvzd5odx2lUuLDl5uaWubN2RmZmJu7u7pUSSqQqxJ0ubEt2ZlBi19xokZpg7uZUXv21dEfi54e2I6ZpgMmJRESkqri72HjmmrYATFu+hy2Hs01O5BwqXNj69OnDp59+6vjYYrFgt9uZPHky/fr1q9RwIpWpU7g/9TxcyM4rYuPBLLPjiMh5bE/NYfzX6wH4e69mXN8t3NxAIiJS5eKigxncoSF2A56cuRm7fsle8cI2efJk3nvvPQYNGkRhYSGPPPII7dq1Y/Hixbz44otVkVGkUrjYrPSJ0m6RIjVBZm4hd3yyhlOFJfSODOKJwa3NjiQiItXkycFt8HazsXZ/Ft8mHTQ7jukqXNjatWtHcnIyvXv3ZsiQIeTm5jJs2DDWrVtHixbaYlmcW1yU1rGJOLuiEjv/+CKJg8fzaBroxZs3dcbFdsGn0IiISA0T6ufBuMujAZg0ZxvHcwtNTmSuCh+cDeDn58e//vWvys4iUuXOrGNbfyCLrFOF+Hu5mZxIRP7ouVlbWbE7E283G++P7Kr/nYqI1EGjejXj26SDbE89weR525k0rIPZkUxzQb+yPH78OP/3f//H6NGjGT16NC+//DKZmZmVnU2k0jXy9yQqxAe7AUtTMsyOIyJ/MH3lfj5N3IfFAlNGdCa6QT2zI4mIiAlcbVaeG9oOgC9XHWDt/uMmJzJPhQvb4sWLadasGa+//jrHjx/n+PHjvP7660RERLB48eKqyChSqbS9v4hzWrUnk4k/bAbgoQEtubxNA5MTiYiImbo1C+C6mNKjxJ6cuZniErvJicxR4cI2duxYbrjhBvbs2cN3333Hd999x+7duxkxYgRjx46tiowilerMtMiE5HQMQzsPiTiDg8dPcc/nSRTbDa7q0JB/9NWaaBERgQmDWuHn6cqWwzl8vqJunvlc4cKWkpLCP//5T2w2m+M5m83G+PHjSUlJqdRwIlWhe0QAHq5WjuYUkHz0pNlxROq8U4XF3PlpEsdyC2nbyJeXruuIxWIxO5aIiDiBQB93HrmiJQAv/5JMWk6+yYmqX4ULW5cuXdi2bdtZz2/bto2OHTtWSiiRquThaqNn80AAEpLTTE4jUrcZhsHD32xk65EcgnzceG9kVzzdbOd/oYiI1BkjujWhY7g/JwqK+c/PZ/eQ2q5cu0Ru3LjR8f/ff//9PPDAA6SkpNCzZ08AVqxYwVtvvcULL7xQNSlFKllcVDCLdqSzODmDO+M09UrELG8uTGH2piO42iy8c0sMjf09zY4kIiJOxma18PyQdlzz1lJmrj/M9d3C6dUiyOxY1cZilGMRj9VqxWKxnHe9j8VioaSkpNLC1TY5OTn4+fmRnZ2Nr6+v2XHqtF3pJ7ns5QTcbFbWP3U5Xm4XdMKFiFyEX7akcudnSQC8MKw9I7o3MTmRiIg4s4k/bObTxH20CPZmzgNxuLnU7DM6y9sNyvVT6p49eyotmIgzaB7kTWN/Tw5l5bFi9zEubaXd6ESq047UE4ybsR6AUbFNVdZEROS8/jmgJT9vOsKu9Fw+WLqbf/SNNDtStShXYWvatGlV5xCpVhaLhfiWwUxfuZ/FyRkqbCLV6HhuIWM+XUNuYQmxzQN54qo2ZkcSEZEawM/TlX8Nbs24GRt4Y0EK13RsRFh9L7NjVbkLmgd2+PBhli5dSlpaGnZ72fMQ7r///koJJlLV4qJKC1uCzmMTqTZFJXbGTl/L/sxThAd48vbNXXC11ewpLSIiUn2GdmrMV6sOsHJPJs/+tJX3RnY1O1KVq3BhmzZtGnfddRdubm4EBgaW2XrZYrGosEmN0SsyEBerhT0Zuew/doomgbX/NzQiZvv37G0s33UMbzcbH4zsRn1vN7MjiYhIDWKxWHhuaDuufG0Jv2w9yoJtR7msde2eKVXhX2s++eSTTJw4kezsbPbu3cuePXscj927d1dFRpEq4evhSpem9QFI2Km7bCJVbcbq/UxbvheAV2/oRMvQeuYGEhGRGim6QT1G94kA4OmftpBfVLs3PaxwYTt16hQjRozAatUUFqn54qODAVisaZEiVWrN3kyemLkZgPGXRzOgbajJiUREpCa7/9IoGvl5cCAzj7d/SzE7TpWqcOsaPXo033zzTVVkEal2Zwrb8pQMCovt5xktIhfiUFYed3+eRFGJwZXtQ7nv0rqxq5eIiFQdb3cXJl5dumnV1ITd7E4/aXKiqlOuc9h+r6SkhKuuuoq8vDzat2+Pq6trmeuvvPJKpQasTXQOm/Ox2w26/ftXjuUW8uWYnsS2CDQ7kkitkldYwnVTl7PlcA6tG/ry33tide6hiIhUCsMwuG3aahbtSKd3ZBCfje5eZn8NZ1ep57D93qRJk5g3bx4tW7YEOGvTEZGaxGq1EBcdzPfrDrF4Z7oKm0glMgyDh7/dwJbDOQR6u/H+yBiVNRERqTQWi4VnrmnL5a8uZmlKBrM3HeGqDo3MjlXpKvwv58svv8xHH33E3//+9yqII1L94qKD+H7dIRJ2pPPoFa3MjiNSa7y9aBezNh7BxWrhnVti6sRZOSIiUr2aBnoztm8kr/6azHOzttK3ZQg+7rXrl4MVXsPm7u7OJZdcUhVZREzRJ6p0HdvWIzmkncg3OY1I7fDr1qP83y87AHhmSFu6RwSYnEhERGqru+Kb0zTQi6M5BUyZn2x2nEpX4cL2wAMP8MYbb1RFFhFTBPm4076xHwBLkjNMTiNS8+08eoIHZ6zHMOCWnk24uUdTsyOJiEgt5uFq45lr2gLw8fK9bDuSY3KiylXh+4WrVq1i4cKFzJo1i7Zt25616ch3331XaeFEqktcdBCbDmWTkJzO8Jgws+OI1FhZpwq549M1nCwopmfzAJ66uq3ZkUREpA7o2zKEK9uH8vOmVJ6cuZmv74rFaq0d+2tU+A6bv78/w4YNIz4+nqCgIPz8/Mo8RGqi+OgQAJbsTKfEXqGNU0XktOISO/dOX8e+Y6cIq+/J2zfH4GrTmZ0iIlI9nryqDV5uNtbsO85/1x40O06lqfAdto8//rgqcoiYqnMTf3zcXTh+qojNh7LpGO5vdiSRGuc/P29naUoGXm423h/ZlQBvN7MjiYhIHdLQz5MH+0fxn5+3M2nOdi5v0wB/r5r/b5F+9SkCuNqsXBJZuqX/4uR0k9OI1DxfrznAR8v2APDK9R1p3VBnTYqISPW77ZIIohv4kJlbyOR5O8yOUykqXNgiIiJo3rz5nz5Eaqq46NLdIhNU2EQqJGnfcZ74fjMAD/aP4op2DU1OJCIidZWrzcrzQ9sD8OWq/aw/kGVuoEpQ4SmRDz74YJmPi4qKWLduHXPnzuXhhx+urFwi1S7u9Pb+6w5kkZ1XhJ+n63leISJHsvO467MkCkvsDGoXyv2XRpkdSURE6rjuEQEM69KY79Ye4omZm/hhbG9sNXgDkgoXtgceeOCcz7/11lusWbPmogOJmCU8wIsWwd7sSs9leUoGg9rrLoHIX8kvKuHOT5PIOFlAq9B6/N/fOtaaHblERKRmmzCoNb9uPcrmQzl8sXIfI2ObmR3pglXaGrZBgwbx3//+t7LeTsQUmhYpUj6GYfDofzey6VA29b1ceX9kV7zdK/w7QBERkSoRXM+dh69oBcBL83aQfqLA5EQXrtIK27fffktAQEBlvZ2IKeJPF7bFyekYhrb3F/kzUxN288P6w7hYLbx9cwzhAV5mRxIRESnjpu5N6BDmx4n8Yib9vM3sOBeswr8O7dy5MxbL/6a8GIZBamoq6enpvP3225UaTqS69YgIxM3FyuHsfFLSThLVoJ7ZkUSczsLtR5k8bzsAT13TltgWgSYnEhEROZvNauH5oe0Y8tYyvlt3iOu7hdOzec37N6vChW3o0KFlPrZarQQHB9O3b19atWpVWblETOHpZqNHRABLdmaQkJyuwibyBylpJ3jgy/UYBtzUowm39mxqdiQREZE/1SHMn5t7NOHzFft5cuZmZt/fBzeXmnWyWYUL21NPPVUVOUScRnx0sKOw3dFHR1WInJF9qogxnyZxoqCY7s0CePrqtmZHEhEROa+HB7RizqZUdqad5KNle7g7voXZkSqkZtVLkWpwZh3bqj2Z5BeVmJxGxDkUl9i598u17MnIpbG/J2/f0qXG/YZSRETqJj8vVx6/sjUAr/26k8NZeSYnqphy/2trtVqx2Wx/+XBx0Q5hUvNFhvjQyM+DgmI7K3YfMzuOiFN4Yc52luzMwNPVxnsjYwjycTc7koiISLkN69KY7s0CyCsq4dmftpodp0LK3bC+//77P72WmJjI66+/jt1ur5RQImayWCzERQfz1eoDJCSn07dliNmRREz136SDfLB0DwAvX9+Rto38TE4kIiJSMRaLheeGtuPqN5cS6udBcYkdF1vNmClS7sI2ZMiQs57bsWMHjz32GD/99BM333wzzz77bKWGEzFL/OnCtljnsUkdt3b/cSZ8twmA+y+N5EodKC8iIjVUy9B6LH20HyH1PMyOUiEXVCsPHz7MmDFjaN++PcXFxaxfv55PPvmEpk21W5jUDr0ig7BZLexKz+Xg8VNmxxExRWp2Pnd9lkRhiZ0BbRrwYP9osyOJiIhclJpW1qCChS07O5tHH32UyMhItmzZwoIFC/jpp59o165dVeUTMYWfpyudw/0BWJycYW4YERPkF5Vw12drSD9RQMsG9Xjlhk5YrZbzv1BEREQqVbkL2+TJk2nevDmzZs3iyy+/ZPny5fTp06cqs4mYKu70bpEJyWkmJxGpXoZhMOG7TWw4mI2/lyvvj+yKj7s2lRIRETGDxTAMozwDrVYrnp6e9O/fH5vN9qfjvvvuu0oLV9vk5OTg5+dHdnY2vr6+ZseR89hwIIshby2jnrsLaydejmsNWZgqcrHeW7yL//y8HZvVwme3d6dXZJDZkURERGqd8naDcv/KdOTIkVgsmg4jdUf7xn4EeLuRmVvIuv1ZdI8IMDuSSJX7bUcaL8zZDsDEq9qorImIiJis3IVt2rRpVRhDxPlYrRZ6Rwbx44bDJCSnqbBJrbcr/ST3f7kOuwEjuoUzMlYbSYmIiJhNc7xE/kL86XVs2nhEarvsvCLGfLKGE/nFdGtWn2eHtNOsChERESegwibyF/pEl04H23Qom4yTBSanEakaJXaD+79cx+6MXBr5efDOLTG4ueifBxEREWegf5FF/kJIPQ/aNCxdBLp0p+6ySe00ee52EpLT8XC18t7IrgT5uJsdSURERE5TYRM5j/9t759uchKRyvfd2oO8u3g3AC9d15F2jf1MTiQiIiK/p8Imch5n1rEt2ZmO3V6uUzBEaoT1B7J47LtNANzbL5KrOzYyOZGIiIj8kQqbyHnENK2Pt5uNjJOFbD2SY3YckUqRlpPPXZ+tobDYTv/WDRh/ebTZkUREROQcVNhEzsPNxUpsi9LNRzQtUmqD/KIS7vwsiaM5BUSF+PDqDR2xWrUjpIiIiDNSYRMph/iWWscmtYNhGDz+/SbWH8jCz9OVD0Z1pZ6Hq9mxRERE5E+osImUQ3xUaWFbu+84J/KLTE4jcuE+XLqH79Yewma18NZNXWga6G12JBEREfkLKmwi5dAk0IuIIG+K7QbLdx0zO47IBUlITuc/P28D4InBrekdFWRyIhERETkfFTaRcoqL0jo2qbn2ZORy3/S12A24vmsYf+/VzOxIIiIiUg4qbCLldGYd2+LkdAxD2/tLzZGTX8Qdn6wmJ7+YmKb1eW5oOywWbTIiIiJSE6iwiZRTz+aBuNmsHDyex+6MXLPjiJRLid3ggS/XsSs9l4Z+HrxzSxfcXWxmxxIREZFyUmETKScvNxe6RdQHIGGHpkVKzfDSvB38tiMddxcr793alZB6HmZHEhERkQpQYROpgPjo09Mid6qwifP7Yf0hpibsAmDydR1oH+ZnciIRERGpKBU2kQqIO13YVuw+Rn5RiclpRP7cxoNZPPLtRgDu6duCIZ0am5xIRERELoSphe2dd96hQ4cO+Pr64uvrS2xsLHPmzDlrnGEYDBo0CIvFwsyZM8tc279/P4MHD8bLy4uQkBAefvhhiouLy4xZtGgRXbp0wd3dncjISKZNm3bW53jrrbdo1qwZHh4e9OjRg1WrVpW5np+fz9ixYwkMDMTHx4fhw4dz9OjRi/4eSM3SskE9Gvi6k19kZ/XeTLPjiJxTWk4+d36aREGxnUtbhfDQgJZmRxIREZELZGphCwsL44UXXiApKYk1a9Zw6aWXMmTIELZs2VJm3JQpU865o1lJSQmDBw+msLCQ5cuX88knnzBt2jQmTpzoGLNnzx4GDx5Mv379WL9+PQ8++CB33HEH8+bNc4yZMWMG48eP56mnnmLt2rV07NiRgQMHkpaW5hgzbtw4fvrpJ7755hsSEhI4fPgww4YNq4Lvijgzi8VC3OlDtLWOTZxRQXEJd3+eRGpOPpEhPrw2ohM2q3aEFBERqakshpPtTx4QEMBLL73E6NGjAVi/fj1XXXUVa9asoWHDhnz//fcMHToUgDlz5nDVVVdx+PBhGjRoAMDUqVN59NFHSU9Px83NjUcffZTZs2ezefNmx+cYMWIEWVlZzJ07F4AePXrQrVs33nzzTQDsdjvh4eHcd999PPbYY2RnZxMcHMz06dO57rrrANi+fTutW7cmMTGRnj17lutry8nJwc/Pj+zsbHx9fSvl+yXVb9bGw9w7fR3RDXz4ZVy82XFEHAzD4JFvN/JN0kF8PVz44d7eRAR5mx1LREREzqG83cBp1rCVlJTw1VdfkZubS2xsLACnTp3ipptu4q233iI0NPSs1yQmJtK+fXtHWQMYOHAgOTk5jrt0iYmJ9O/fv8zrBg4cSGJiIgCFhYUkJSWVGWO1Wunfv79jTFJSEkVFRWXGtGrViiZNmjjGnEtBQQE5OTllHlLz9Y4MwmqB5KMnOZyVZ3YcEYePl+3lm6SDWC3w5k1dVNZERERqAdML26ZNm/Dx8cHd3Z27776b77//njZt2gCl0xB79erFkCFDzvna1NTUMmUNcHycmpr6l2NycnLIy8sjIyODkpKSc475/Xu4ubnh7+//p2POZdKkSfj5+Tke4eHh5/luSE3g7+VGx3B/oPQQbRFnsGRnOs/P3grA41e2dmyQIyIiIjWb6YWtZcuWrF+/npUrV3LPPfcwatQotm7dyo8//sjChQuZMmWK2REv2IQJE8jOznY8Dhw4YHYkqSTa3l+cyd6MXO6dvg67AcO7hDG6d4TZkURERKSSuJgdwM3NjcjISABiYmJYvXo1r732Gp6enuzateusu1rDhw+nT58+LFq0iNDQ0LN2czyzc+OZKZShoaFn7eZ49OhRfH198fT0xGazYbPZzjnm9+9RWFhIVlZWmTy/H3Mu7u7uuLu7l/+bITVGXHQwU37dyZKdGRSX2HGxmf67D6mjTuQXccena8jOK6JzE3/+fW27c27SJCIiIjWT0/2UabfbKSgo4LHHHmPjxo2sX7/e8QB49dVX+fjjjwGIjY1l06ZNZXZznD9/Pr6+vo5plbGxsSxYsKDM55g/f75jnZybmxsxMTFlxtjtdhYsWOAYExMTg6ura5kxO3bsYP/+/Y4xUrd0DPPHz9OVE/nFbDiYZXYcqaPsdoNxM9aTknaSUF8P3r0lBg9Xm9mxREREpBKZeodtwoQJDBo0iCZNmnDixAmmT5/OokWLmDdvHqGhoee8e9WkSRMiIkqn+wwYMIA2bdpw6623MnnyZFJTU3niiScYO3as487W3XffzZtvvskjjzzC7bffzsKFC/n666+ZPXu24z3Hjx/PqFGj6Nq1K927d2fKlCnk5uZy2223AeDn58fo0aMZP348AQEB+Pr6ct999xEbG1vuHSKldrFZLfSOCmL2xiMk7EgnpmmA2ZGkDnp5/g5+3ZaGm4uVd2+NIcTXw+xIIiIiUslMLWxpaWmMHDmSI0eO4OfnR4cOHZg3bx6XX355uV5vs9mYNWsW99xzD7GxsXh7ezNq1CieffZZx5iIiAhmz57NuHHjeO211wgLC+ODDz5g4MCBjjE33HAD6enpTJw4kdTUVDp16sTcuXPLbETy6quvYrVaGT58OAUFBQwcOJC333678r4ZUuPERweXFrbkdMbrYGKpZj9uOMxbv+0CYPLwDo6NcERERKR2cbpz2GozncNWuxzNyafHfxZgsUDSE5cT4O1mdiSpIzYfyua6qcvJL7JzV3xzJgxqbXYkERERqaAadw6bSE3TwNeDVqH1MIzSLdVFqkP6iQLGfLqG/CI7/VoG88jAVmZHEhERkSqkwiZyERzb+ydnmJxE6oKC4hLu/jyJI9n5NA/25rUbO2OzakdIERGR2kyFTeQixP3uPDbNLpaqZBgGE2duIWnfcep5uPDByK74eriaHUtERESqmAqbyEXo2qw+nq420k8UsO3ICbPjSC32yfK9zFhzAKsF3rixM82DfcyOJCIiItVAhU3kIri72IhtEQhAQrLWsUnVWJaSwXOztwEwYVBr+rYMMTmRiIiIVBcVNpGLdGYdW0Jy2nlGilTcvmO5jJ2+lhK7wbDOjbmjT4TZkURERKQaqbCJXKQzhS1p33FOFhSbnEZqk8zcQu74ZA1Zp4roGO7Pf4a1x2LRJiMiIiJ1iQqbyEVqFuRNkwAvikoMEncdMzuO1BJZpwq55YOV7Ew7SQNfd967NQYPV5vZsURERKSaqbCJVIL/be+vdWxy8bLzirj1w1VsPZJDkI8bX9zRkwa+HmbHEhEREROosIlUgjjHOjYVNrk4OflFjPxoFZsOZRPg7cb0MT2JDNGOkCIiInWVCptIJYhtEYirzcL+zFPszcg1O47UUCcLivn7R6vYcCALfy9XvrijB9EN6pkdS0REREykwiZSCXzcXYhpWh/QXTa5MKcKi7n949Ws3Z+Fr4cLn4/uQeuGvmbHEhEREZOpsIlUkvjo0rOxVNikovIKS7h92mpW7c2knocLn9/Rg3aN/cyOJSIiIk5AhU2kkpzZeCRx1zEKiktMTiM1RX5RCXd8upoVuzPxcXfh09u70yHM3+xYIiIi4iRU2EQqSeuG9Qiu505eUQlr9h43O47UAPlFJdz5WRLLUo7h7Wbjk9u70blJfbNjiYiIiBNRYROpJBaLhbgobe8v5VNQXMI/vljL4uR0PF1tfHxbd2KaBpgdS0RERJyMCptIJYqLDgK0jk3+WmGxnXunr2Ph9jQ8XK18+PeudI9QWRMREZGzqbCJVKI+UcFYLLA99QRHc/LNjiNOqKjEzv1frmP+1qO4u1j5YGQ3erUIMjuWiIiIOCkVNpFKFODtRofTu/vpLpv8UXGJnQdnrGfullTcbFbeG9mV3lEqayIiIvLnVNhEKtmZ3SJV2OT3SuwG//xmA7M3HsHVZmHqrV0cf1ZERERE/owKm0gli29Z+kP40p0ZlNgNk9OIMyixGzz87QZ+WH8YF6uFt27qwqWtGpgdS0RERGoAFTaRStYxzJ96Hi5k5xWx4WCW2XHEZHa7wYTvNvLd2kPYrBbeuLEzA9qGmh1LREREaggVNpFK5mKz0uf0uiRt71+32e0G/5q5ma/XHMRqgSk3dGJQ+4ZmxxIREZEaRIVNpAqcOY9N69jqLsMweOrHLXy5aj9WC7x6Qyeu7tjI7FgiIiJSw6iwiVSBuNObSWw4kEXWqUKT00h1MwyDZ2dt5bMV+7BY4KXrOjKkU2OzY4mIiEgNpMImUgUa+XsSFeKD3YClKRlmx5FqZBgGk+Zs5+NlewF4cVgHhseEmRtKREREaiwVNpEq4tjef4emRdYVhmEwed4O3lu8G4B/X9uO67uFm5xKREREajIVNpEqcmZ7/8U70zEMbe9fF7w6P5l3Fu0C4Nkhbbm5R1OTE4mIiEhNp8ImUkW6NQvAw9XK0ZwCdhw9YXYcqWKvL9jJ6wtTAJh4VRtGxjYzN5CIiIjUCipsIlXEw9VGz+aBgLb3r+3e+i2FV+YnA/D4la24vXeEyYlERESktlBhE6lC2t6/9ntv8S5emrcDgEeuaMmdcS1MTiQiIiK1iQqbSBU6s45t9Z7jnCosNjmNVLYPl+7hPz9vB2D85dH8o2+kyYlERESktlFhE6lCzYO8aezvSWGJnRW7j5kdRyrRp4l7eW7WVgDuvzSS+y+LMjmRiIiI1EYqbCJVyGKxOO6yaXv/2uOLlfuY+MMWAP7RtwXjLo82OZGIiIjUVipsIlXszHlsi3fqAO3aYMbq/fzr+80A3BnXnIcHtsRisZicSkRERGorFTaRKtarRSAuVgt7MnLZf+yU2XHkInybdJDHvtsEwG2XNGPCoFYqayIiIlKlVNhEqlg9D1e6NK0PQMJOTYusqWauO8TD327AMGBkbFMmXtVGZU1ERESqnAqbSDU4My1S69hqpp82HGb81+sxDLipRxOevrqtypqIiIhUCxU2kWpwprAl7sqgsNhuchqpiDmbjvDgjPXYDbihazjPD2mH1aqyJiIiItVDhU2kGrRp6Eugtxu5hSUk7Ttudhwpp1+2pHLfl+sosRsM69KYScPaq6yJiIhItVJhE6kGVquFuDPTIpM1LbImWLDtKGOnr6XYbjCkUyNeuq6jypqIiIhUOxU2kWri2N5fhc3pLdqRxj2fr6WoxOCqDg15+W8dsamsiYiIiAlU2ESqSe+oIAC2Hskh7US+yWnkzyzdmcGdnyVRWGJnULtQXr2hEy42/VUpIiIi5tBPISLVJMjHnfaN/QBYkqxDtJ3R8l0ZjP5kNYXFdi5v04DXRnTGVWVNRERETKSfRESqUVx06V02rWNzPit3H2P0tDUUFNu5tFUIb97UGTcX/RUpIiIi5tJPIyLVKD46BIAlO9MpsRsmp5EzkvZlctu01eQVlRAXHczbN3fB3cVmdiwRERERFTaR6tS5iT8+7i4cP1XE5kPZZscRYN3+44z6aDWnCkvoHRnEe7fG4OGqsiYiIiLOQYVNpBq52qxcEhkIaFqkM9h4MIuRH67iZEExPZsH8P7IriprIiIi4lRU2ESq2Zlpkdre31ybD2VzywcrOVFQTPdmAXz09254uqmsiYiIiHNRYROpZmc2Hll3IIvsvCKT09RNWw/ncMuHK8nJLyamaX0+uq0bXm4uZscSEREROYsKm0g1C6vvRYtgb0rsBstTtL1/dduReoJbPlxJ1qkiOoX7M+22bvi4q6yJiIiIc1JhEzFBXHQwoHVs1S0l7QQ3f7CCzNxCOoT58cnt3ann4Wp2LBEREZE/pcImYoL43xU2w9D2/tVhV/pJbnx/JRknC2nT0JdPb++On6fKmoiIiDg3FTYRE/SICMTNxcqR7HxS0k6aHafW25uRy03vryD9RAGtQuvxxR098PdyMzuWiIiIyHmpsImYwNPNRo+IAEDTIqvagcxT3PT+Co7mFBDdwIcv7uhBfW+VNREREakZVNhETBKvdWxV7uDxU4x4bwWHs/NpEezNF3f0JNDH3exYIiIiIuWmwiZikjOFbeWeTPIKS0xOU/sczsrjpvdXcigrj+ZB3nw5pifB9VTWREREpGZRYRMxSWSID438PCgstrNyzzGz49Qqqdn53PT+CvZnnqJpoBfTx/QkxNfD7FgiIiIiFabCJmISi8Wi7f2rQNqJ0rK299gpwup7Mn1MT0L9VNZERESkZlJhEzGR1rFVroyTBdz0/kp2Z+TS2N+TL8f0pLG/p9mxRERERC6YCpuIiXpFBmGzWtidnsuBzFNmx6nRMnMLufn9laSknaShnwfTx/QgPMDL7FgiIiIiF0WFTcREfp6udA73B2DxTt1lu1BZpwq5+YOV7Dh6gpB67kwf05Omgd5mxxIRERG5aCpsIiY7My1ysaZFXpDsU0Xc8uFKth3JIcjHnS/v7ElEkMqaiIiI1A4qbCImO7PxyLKUYxSV2E1OU7Pk5Bcx8qOVbD6UQ6C3G1+O6UGLYB+zY4mIiIhUGhU2EZO1b+xHgLcbJwuKWbc/y+w4NcaJ/CJGfbSKDQezqe/lyvQxPYlqUM/sWCIiIiKVSoVNxGRWq4XekUEAJCSnmZymZsgtKOa2j1ezbn8Wfp6ufH5HD1qGqqyJiIhI7aPCJuIEtL1/+Z0qLOa2aatZs+84vh4ufHFHD9o28jM7loiIiEiVUGETcQJ9okvvsG0+lEPGyQKT0zivvMIS7vhkDav2ZFLP3YXPRvegXWOVNREREam9VNhEnEBIPQ/aNPQFYIm29z+n/KIS7vxsDct3HcPbzca027vT8fSRCCIiIiK1lQqbiJOIb3lme/8Mk5M4n4LiEu7+PIklOzPwOl3WYprWNzuWiIiISJVTYRNxEnFR/zuPzW43TE7jPAqL7fzj87Us2pGOh6uVj/7ejW7NAsyOJSIiIlItVNhEnERM0/p4u9k4llvI1iM5ZsdxCkUldu77ci0Ltqfh7mLlo1Hd6Nk80OxYIiIiItVGhU3ESbi5WIltcWZ7f61jKy6x88BX65i35ShuLlbeH9mVXqePPxARERGpK0wtbO+88w4dOnTA19cXX19fYmNjmTNnjuP6XXfdRYsWLfD09CQ4OJghQ4awffv2Mu+xf/9+Bg8ejJeXFyEhITz88MMUFxeXGbNo0SK6dOmCu7s7kZGRTJs27awsb731Fs2aNcPDw4MePXqwatWqMtfz8/MZO3YsgYGB+Pj4MHz4cI4ePVp53wwR/reOLWFH3S5sxSV2xn29gZ83peJms/LuLTHEnT76QERERKQuMbWwhYWF8cILL5CUlMSaNWu49NJLGTJkCFu2bAEgJiaGjz/+mG3btjFv3jwMw2DAgAGUlJQAUFJSwuDBgyksLGT58uV88sknTJs2jYkTJzo+x549exg8eDD9+vVj/fr1PPjgg9xxxx3MmzfPMWbGjBmMHz+ep556irVr19KxY0cGDhxIWtr/DjEeN24cP/30E9988w0JCQkcPnyYYcOGVdN3SuqK+NPr2NbuP05OfpHJacxRYjd4+NuN/LThMK42C2/f3IV+rULMjiUiIiJiCothGE61u0FAQAAvvfQSo0ePPuvaxo0b6dixIykpKbRo0YI5c+Zw1VVXcfjwYRo0aADA1KlTefTRR0lPT8fNzY1HH32U2bNns3nzZsf7jBgxgqysLObOnQtAjx496NatG2+++SYAdrud8PBw7rvvPh577DGys7MJDg5m+vTpXHfddQBs376d1q1bk5iYSM+ePcv1teXk5ODn50d2dja+vr4X9X2S2qvf/y1iT0YuU2+J4Yp2oWbHqVZ2u8Ej/93It0kHsVktvHVTlzr3PRAREZG6obzdwGnWsJWUlPDVV1+Rm5tLbGzsWddzc3P5+OOPiYiIIDw8HIDExETat2/vKGsAAwcOJCcnx3GXLjExkf79+5d5r4EDB5KYmAhAYWEhSUlJZcZYrVb69+/vGJOUlERRUVGZMa1ataJJkyaOMedSUFBATk5OmYfI+cSfnvq3uI6dx2a3Gzz+/SZHWXt9RGeVNREREanzTC9smzZtwsfHB3d3d+6++26+//572rRp47j+9ttv4+Pjg4+PD3PmzGH+/Pm4ubkBkJqaWqasAY6PU1NT/3JMTk4OeXl5ZGRkUFJScs4xv38PNzc3/P39/3TMuUyaNAk/Pz/H40zRFPkrcdGnNx7ZkY6T3QCvMoZhMPHHzXy1+gBWC7x6QycGd2hodiwRERER05le2Fq2bMn69etZuXIl99xzD6NGjWLr1q2O6zfffDPr1q0jISGB6Ohorr/+evLz801MXH4TJkwgOzvb8Thw4IDZkaQG6Nk8EDeblUNZeezOyDU7TpUzDINnftrK5yv2Y7HAy9d35JqOjcyOJSIiIuIUTC9sbm5uREZGEhMTw6RJk+jYsSOvvfaa47qfnx9RUVHExcXx7bffsn37dr7//nsAQkNDz9qp8czHoaGhfznG19cXT09PgoKCsNls5xzz+/coLCwkKyvrT8eci7u7u2MHzDMPkfPxcnOhW0R9oPbvFmkYBs/P3sa05XsBeHF4B67tHGZuKBEREREnYnph+yO73U5BQcE5rxmGgWEYjuuxsbFs2rSpzG6O8+fPx9fX1zGtMjY2lgULFpR5n/nz5zvWybm5uRETE1NmjN1uZ8GCBY4xMTExuLq6lhmzY8cO9u/ff871diIX68w6ttp8HpthGLwwdzsfLt0DwKRh7bm+q6YNi4iIiPyei5mffMKECQwaNIgmTZpw4sQJpk+fzqJFi5g3bx67d+9mxowZDBgwgODgYA4ePMgLL7yAp6cnV155JQADBgygTZs23HrrrUyePJnU1FSeeOIJxo4di7u7OwB33303b775Jo888gi33347Cxcu5Ouvv2b27NmOHOPHj2fUqFF07dqV7t27M2XKFHJzc7ntttuA0rt8o0ePZvz48QQEBODr68t9991HbGxsuXeIFKmIuOhg/vPzdlbuOUZ+UQkerjazI1UqwzB4+Zdk3k3YDcBzQ9txY/cmJqcSERERcT6mFra0tDRGjhzJkSNH8PPzo0OHDsybN4/LL7+cw4cPs2TJEqZMmcLx48dp0KABcXFxLF++nJCQ0jOZbDYbs2bN4p577iE2NhZvb29GjRrFs88+6/gcERERzJ49m3HjxvHaa68RFhbGBx98wMCBAx1jbrjhBtLT05k4cSKpqal06tSJuXPnltmI5NVXX8VqtTJ8+HAKCgoYOHAgb7/9dvV9s6ROadmgHg183TmaU8CqPZm17tDo/2/vzqOiug/+j3+GGTaRRdwRxAW3REFUlghI0Cx61F/8NU2N1YBxiU2lRq2x2uaJOT2tWFsTY2K1MQZtojE2qdqnqVqrgNETFfDBfcEtMQriLouyzX3+8JGGRo2yeGfw/TpnzpE7M/d+hq9H5zPfe7/z9uZcvZt2TJL0xtBH9EJ0sMmJAAAAHJPDfQ9bQ8b3sOF+TP90j1ZnfaNxse312pBHvv8JTuLdLbn6wz+PSpJeG9xN4+I6mJwIAADgwXO672EDUF2/Bngd2+KM41VlbcagrpQ1AACA70FhAxxUbEgzuVik3IIinb1y3ew4tfb+Fyc0Z/1hSdK0pzrrJ/EdTU4EAADg+ChsgIPya+SmsCA/SdJWJ59lW7b9pH7z+SFJ0uQnOim5fyeTEwEAADgHChvgwBrC8v4f7vhKb/z3QUlSckKIXhlAWQMAALhXFDbAgd26jm3bsQuqqLSbnOb+fbzra/3X2v2SpAnxHfTzpzrLYrGYnAoAAMB5UNgABxYW6CdfT1cV3qhQzukrZse5L6uzTuuXa/ZJksbGtteMgV0pawAAAPeJwgY4MKuLRXGdmklyruvY/rr7G/3is70yDGl033Z6bXA3yhoAAEANUNgAB+dsy/uvyzmjaX/ZI8OQRkW31ayhj1DWAAAAaojCBji4WwuP7D1zVZeKy0xOc3ef783T1NV7ZDek5yOC9Ov/152yBgAAUAsUNsDBtfTxUNdW3jIM6Ytcx51l27A/X5NW/Y8q7YZ+2DtQs/9/D7m4UNYAAABqg8IGOAFHX97/XwfP6Wcf71al3dAPwtvod8+GUtYAAADqAIUNcAK3rmPbevSC7HbD5DTVpR0p0E9X7FZ5paGhYQH6/XNhslLWAAAA6gSFDXACfdo1kaerVReKSnUo/5rZcapsPXpeEz7MVlmlXYN7tNZbP6KsAQAA1CUKG+AE3G1W9e3YVNLNWTZHsP3YBY3/c5bKKux6+tGWmv98T9ms/JMCAABQl3h3BTiJfy/vX2ByEmnHiYsauzxTpRV2PdGthd4Z0UuulDUAAIA6xzsswEncWngk69RlFZVWmJYj89QljVmWqRvldj3epbkWjuwlNxv/lAAAANQH3mUBTqJdMy+19W+kCruhL49fNCVD9leXNfqDXSopq1Rcp2ZaPKq33G1WU7IAAAA8DChsgBOJN/G0yJzTVzT6g10qLqtU345NtSSxjzxcKWsAAAD1icIGOJF+3/o+NsN4cMv77/vmqhKX7lRhaYUi2/vr/STKGgAAwINAYQOcyGMdm8rVatHpS9d16mLJAznmgbNXNWrpTl27UaE+wU2UOjpCjdxsD+TYAAAADzsKG+BEGrvb1CfYX9LN70Crb4fzr2nU+zt19Xq5wtv6admYSHm5U9YAAAAeFAob4GS+fVpkfco9V6iRS3bqckm5wgJ9tXxMpBpT1gAAAB4oChvgZG4tPPLl8Ysqraisl2McKyjSiCU7dbG4TN3b+OjPY6Lk4+FaL8cCAADAnVHYACfTrbW3mnu763p5pbJOXa7z/Z+8UKwfL9mhC0Wl6tbaRx+NjZJvI8oaAACAGShsgJOxWCzq16l+Tov8+mKJfrxkhwoKS9WlpbdWjIuSXyO3Oj0GAAAA7h2FDXBC8V1uFra6XHjk9KUSjViyQ3lXbyikRWOtGB8lfy/KGgAAgJkobIATigtpJotFOpxfqPyrN2q9vzNXrmvEkh06c+W6OjT30srxUWrW2L0OkgIAAKA2KGyAE2ri5abQQD9J0tbc2s2y5V+9oR8v2aFvLl9Xu6aN9PH4aLXw9qiDlAAAAKgtChvgpOI7NZNUu+vYCq7d0IglO/TVxRIF+Xtq5fhotfShrAEAADgKChvgpG5dx7Yt94Iq7cZ9P/98YalGLNmhkxeK1cbPUx+Pj1aAn2ddxwQAAEAtUNgAJxUW6CdvD5uuXi/Xnm+u3NdzLxaV6sdLduj4+WIF+Hpo1UvRCmzSqH6CAgAAoMYobICTslldFHfrtMgj935a5OXiMo18f6dyC4rU0sddK8dHK8ifsgYAAOCIKGyAE4vv/H/L+9/jwiNXSm6WtcP5hWru7a6Px0erXTOv+owIAACAWqCwAU6s3/8Vtj2nr+hKSdldH3v1erleWLpLB/OuqVljN308Plodmjd+EDEBAABQQxQ2wIm19vVU55aNZTekbccu3PFxhTfKlfTBLu07c1X+Xm5aOT5aIS0oawAAAI6OwgY4uX6dbs6y3ek6tqLSCo1OzVTO6Svya+SqFeOi1Lml94OMCAAAgBqisAFO7tby/ltzz8swqi/vX1JWoTGpmcr+6rJ8PGz6aGyUurX2MSMmAAAAaoDCBji5iHb+8nB10blrpTpyrrBq+/WySo1Zlqldpy7J28Omj8ZFqXsbXxOTAgAA4H5R2AAn5+FqVXSHppL+fVrkjfJKjf9zlnacuKTG7jb9eUykQgP9TEwJAACAmqCwAQ3At5f3v1FeqZc+zNa2Yxfk5WbV8jERCm/bxOSEAAAAqAkKG9AA3FreP/PkZU34MFtbj56Xp6tVqS9Gqnewv8npAAAAUFMUNqAB6NDMS4FNPFVWaVfG0fPycHXR0tF9FNmesgYAAODMKGxAA2CxWKpm2dxtLno/MUJ9OzYzORUAAABqy2Z2AAB1Y3xcB10qKlPiY8HqG0JZAwAAaAgobEAD0b6Zlxa/0NvsGAAAAKhDnBIJAAAAAA6KwgYAAAAADorCBgAAAAAOisIGAAAAAA6KwgYAAAAADorCBgAAAAAOisIGAAAAAA6KwgYAAAAADorCBgAAAAAOisIGAAAAAA6KwgYAAAAADorCBgAAAAAOisIGAAAAAA6KwgYAAAAADorCBgAAAAAOisIGAAAAAA6KwgYAAAAADorCBgAAAAAOymZ2gIeJYRiSpGvXrpmcBAAAAICZbnWCWx3hTihsD1BhYaEkKSgoyOQkAAAAABxBYWGhfH1973i/xfi+Soc6Y7fbdfbsWXl7e8tisZia5dq1awoKCtLp06fl4+NjahbUHca14WFMGx7GtGFiXBsexrRhcqRxNQxDhYWFCggIkIvLna9UY4btAXJxcVFgYKDZMarx8fEx/S8r6h7j2vAwpg0PY9owMa4ND2PaMDnKuN5tZu0WFh0BAAAAAAdFYQMAAAAAB0Vhe0i5u7tr1qxZcnd3NzsK6hDj2vAwpg0PY9owMa4ND2PaMDnjuLLoCAAAAAA4KGbYAAAAAMBBUdgAAAAAwEFR2AAAAADAQVHYAAAAAMBBUdgeUgsXLlS7du3k4eGhqKgo7dq1y+xIqIWtW7dq6NChCggIkMVi0dq1a82OhFpKSUlRRESEvL291aJFCw0bNkxHjhwxOxZqYdGiRQoNDa36stbHHntM69evNzsW6tCcOXNksVg0efJks6OgFt544w1ZLJZqt65du5odC7V05swZjRo1Sk2bNpWnp6d69OihrKwss2PdEwrbQ+iTTz7R1KlTNWvWLO3evVthYWF6+umnVVBQYHY01FBxcbHCwsK0cOFCs6OgjmRkZGjixInasWOHNm3apPLycj311FMqLi42OxpqKDAwUHPmzFF2draysrLUv39/PfPMMzpw4IDZ0VAHMjMz9ac//UmhoaFmR0EdePTRR5WXl1d127Ztm9mRUAuXL19WTEyMXF1dtX79eh08eFDz5s1TkyZNzI52T1jW/yEUFRWliIgIvfvuu5Iku92uoKAg/exnP9OMGTNMTofaslgsWrNmjYYNG2Z2FNSh8+fPq0WLFsrIyFC/fv3MjoM64u/vr9///vcaO3as2VFQC0VFRerVq5f++Mc/6je/+Y169uyp+fPnmx0LNfTGG29o7dq1ysnJMTsK6siMGTO0fft2ffHFF2ZHqRFm2B4yZWVlys7O1hNPPFG1zcXFRU888YS+/PJLE5MBuJurV69KuvkGH86vsrJSq1atUnFxsR577DGz46CWJk6cqMGDB1f7vxXOLTc3VwEBAerQoYNGjhypr7/+2uxIqIW//e1v6tOnj5577jm1aNFC4eHhWrJkidmx7hmF7SFz4cIFVVZWqmXLltW2t2zZUvn5+SalAnA3drtdkydPVkxMjLp37252HNTCvn371LhxY7m7u+snP/mJ1qxZo0ceecTsWKiFVatWaffu3UpJSTE7CupIVFSUli1bpg0bNmjRokU6efKk4uLiVFhYaHY01NCJEye0aNEiderUSRs3btTLL7+sSZMmafny5WZHuyc2swMAAO5u4sSJ2r9/P9dQNABdunRRTk6Orl69qk8//VRJSUnKyMigtDmp06dP65VXXtGmTZvk4eFhdhzUkUGDBlX9OTQ0VFFRUQoODtbq1as5fdlJ2e129enTR7Nnz5YkhYeHa//+/Vq8eLGSkpJMTvf9mGF7yDRr1kxWq1Xnzp2rtv3cuXNq1aqVSakA3ElycrL+/ve/Ky0tTYGBgWbHQS25ubkpJCREvXv3VkpKisLCwvT222+bHQs1lJ2drYKCAvXq1Us2m002m00ZGRlasGCBbDabKisrzY6IOuDn56fOnTvr2LFjZkdBDbVu3fo7H4x169bNaU51pbA9ZNzc3NS7d29t3ry5apvdbtfmzZu5jgJwIIZhKDk5WWvWrNGWLVvUvn17syOhHtjtdpWWlpodAzU0YMAA7du3Tzk5OVW3Pn36aOTIkcrJyZHVajU7IupAUVGRjh8/rtatW5sdBTUUExPzna/GOXr0qIKDg01KdH84JfIhNHXqVCUlJalPnz6KjIzU/PnzVVxcrBdffNHsaKihoqKiap/8nTx5Ujk5OfL391fbtm1NTIaamjhxolauXKl169bJ29u76hpTX19feXp6mpwONTFz5kwNGjRIbdu2VWFhoVauXKn09HRt3LjR7GioIW9v7+9cV+rl5aWmTZtyvakTmzZtmoYOHarg4GCdPXtWs2bNktVq1YgRI8yOhhqaMmWK+vbtq9mzZ+tHP/qRdu3apffee0/vvfee2dHuCYXtITR8+HCdP39er7/+uvLz89WzZ09t2LDhOwuRwHlkZWUpISGh6uepU6dKkpKSkrRs2TKTUqE2Fi1aJEl6/PHHq21PTU3V6NGjH3wg1FpBQYESExOVl5cnX19fhYaGauPGjXryySfNjgbgW7755huNGDFCFy9eVPPmzRUbG6sdO3aoefPmZkdDDUVERGjNmjWaOXOmfv3rX6t9+/aaP3++Ro4caXa0e8L3sAEAAACAg+IaNgAAAABwUBQ2AAAAAHBQFDYAAAAAcFAUNgAAAABwUBQ2AAAAAHBQFDYAAAAAcFAUNgAAAABwUBQ2AAAAAHBQFDYAAB6Q7du3q0ePHnJ1ddWwYcPMjlNNu3btNH/+fLNjAAD+A4UNANAgjB49WhaLRRaLRa6urmrZsqWefPJJffDBB7Lb7WbHkyRNnTpVPXv21MmTJ7Vs2bLv3D9jxgx17dq12rbDhw/LYrFo9OjR1bYvW7ZM7u7uun79ej0mBgCYjcIGAGgwBg4cqLy8PJ06dUrr169XQkKCXnnlFQ0ZMkQVFRVmx9Px48fVv39/BQYGys/P7zv3JyQk6MiRI8rPz6/alpaWpqCgIKWnp1d7bFpamqKjo+Xp6VnPqQEAZqKwAQAaDHd3d7Vq1Upt2rRRr1699Mtf/lLr1q3T+vXrq81ovfnmm+rRo4e8vLwUFBSkn/70pyoqKpIkFRcXy8fHR59++mm1fa9du1ZeXl4qLCy87bFLS0s1adIktWjRQh4eHoqNjVVmZqYk6dSpU7JYLLp48aLGjBkji8Vy2xm22NhYubq6Vitn6enpmjhxoi5duqRTp05V256QkFB17GnTpqlNmzby8vJSVFTUdwretm3bFBcXJ09PTwUFBWnSpEkqLi6+4+/y/fffl5+fnzZv3nzHxwAA6h+FDQDQoPXv319hYWH661//WrXNxcVFCxYs0IEDB7R8+XJt2bJF06dPlyR5eXnp+eefV2pqarX9pKam6oc//KG8vb1ve5zp06frs88+0/Lly7V7926FhITo6aef1qVLlxQUFKS8vDz5+Pho/vz5ysvL0/Dhw7+zDy8vL0VERCgtLa1qW3p6ugYMGKCYmJiq7SdOnNDXX39dVdiSk5P15ZdfatWqVdq7d6+ee+45DRw4ULm5uZJuzuwNHDhQzz77rPbu3atPPvlE27ZtU3Jy8m1fy9y5czVjxgz985//1IABA+71Vw0AqA8GAAANQFJSkvHMM8/c9r7hw4cb3bp1u+Nz//KXvxhNmzat+nnnzp2G1Wo1zp49axiGYZw7d86w2WxGenr6bZ9fVFRkuLq6GitWrKjaVlZWZgQEBBhz586t2ubr62ukpqbe9XX86le/Mjp37mwYhmEcOHDA8PHxMSoqKozZs2cbiYmJhmEYxtKlSw0PDw/jxo0bxldffWVYrVbjzJkz1fYzYMAAY+bMmYZhGMbYsWONl156qdr9X3zxheHi4mJcv37dMAzDCA4ONt566y1j+vTpRuvWrY39+/ffNScA4MGwmV0YAQCob4ZhyGKxVP38r3/9SykpKTp8+LCuXbumiooK3bhxQyUlJWrUqJEiIyP16KOPavny5ZoxY4Y++ugjBQcHq1+/frfd//Hjx1VeXq6YmJiqba6uroqMjNShQ4fuK+vjjz+u3/72t8rLy1N6erpiY2NltVoVHx+vxYsXS7o569a3b1+5u7tr3759qqysVOfOnavtp7S0VE2bNpUk7dmzR3v37tWKFSuq/U7sdrtOnjypbt26SZLmzZun4uJiZWVlqUOHDveVGwBQPzglEgDQ4B06dEjt27eXdPN6siFDhig0NFSfffaZsrOztXDhQklSWVlZ1XPGjRtXdZ1ZamqqXnzxxWqlr77ExMTIzc1NaWlpSktLU3x8vCQpIiJCFy5c0IkTJ5Senq7+/ftLkoqKimS1WpWdna2cnJyq26FDh/T2229XPWbChAnV7t+zZ49yc3PVsWPHqmPHxcWpsrJSq1evrvfXCQC4N8ywAQAatC1btmjfvn2aMmWKJCk7O1t2u13z5s2Ti8vNzy1vV1BGjRql6dOna8GCBTp48KCSkpLueIyOHTvKzc1N27dvV3BwsCSpvLxcmZmZmjx58n3l9fT0rFo0JCMjQ6+++qqkmzN20dHRWrp0qU6fPl11/Vp4eLgqKytVUFCguLi42+6zV69eOnjwoEJCQu567MjISCUnJ2vgwIGy2WyaNm3afWUHANQ9ChsAoMEoLS1Vfn6+Kisrde7cOW3YsEEpKSkaMmSIEhMTJUkhISEqLy/XO++8o6FDh2r79u1Vpxp+W5MmTfSDH/xAr776qp566ikFBgbe8bheXl56+eWX9eqrr8rf319t27bV3LlzVVJSorFjx97360hISNBbb70l6WbZuiU+Pl5/+MMfqhYnkaTOnTtr5MiRSkxM1Lx58xQeHq7z589r8+bNCg0N1eDBg/WLX/xC0dHRSk5O1rhx4+Tl5aWDBw9q06ZNevfdd6sdu2/fvvrHP/6hQYMGyWaz3XfhBADULU6JBAA0GBs2bFDr1q3Vrl07DRw4UGlpaVqwYIHWrVsnq9UqSQoLC9Obb76p3/3ud+revbtWrFihlJSU2+5v7NixKisr05gxY7732HPmzNGzzz6rF154Qb169dKxY8e0ceNGNWnS5L5fR0JCggoLCxUTEyOb7d+frcbHx6uwsLBq+f9bUlNTlZiYqJ///Ofq0qWLhg0bpszMTLVt21aSFBoaqoyMDB09elRxcXEKDw/X66+/roCAgNsePzY2Vp9//rlee+01vfPOO/edHwBQdyyGYRhmhwAAwBF9+OGHmjJlis6ePSs3Nzez4wAAHkKcEgkAwH8oKSlRXl6e5syZowkTJlDWAACm4ZRIAAD+w9y5c9W1a1e1atVKM2fONDsOAOAhximRAAAAAOCgmGEDAAAAAAdFYQMAAAAAB0VhAwAAAAAHRWEDAAAAAAdFYQMAAAAAB0VhAwAAAAAHRWEDAAAAAAdFYQMAAAAAB/W/e8bmmxiMYxcAAAAASUVORK5CYII=\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "In the realm of machine learning, understanding the relationships between variables is crucial for building accurate and effective predictive models. One powerful tool for exploring these relationships is the correlation matrix. A correlation matrix provides a comprehensive overview of the pairwise correlations between variables in a dataset, allowing practitioners to quantify and visualize the strength and direction of these associations. This matrix is an essential component of exploratory data analysis and offers several key benefits:\n",
        "\n",
        "1. Relationship Assessment: The correlation matrix provides a quantitative measure of the relationship between variables. By calculating correlation coefficients, typically using methods like Pearson's correlation coefficient, analysts can determine if variables are positively correlated (increase together), negatively correlated (one increases as the other decreases), or uncorrelated (no systematic relationship). These measures offer insights into the direction and strength of the relationships, helping to identify important variables that may influence the target variable.\n",
        "\n",
        "2. Feature Selection: Correlation matrices are invaluable in feature selection, which involves identifying the most relevant variables for building predictive models. By examining the correlations between the target variable and other features, analysts can identify highly correlated variables that may be strong predictors. This knowledge enables informed decisions regarding which variables to include in the model, potentially reducing dimensionality, enhancing model efficiency, and preventing issues such as multicollinearity.\n",
        "\n",
        "3. Multicollinearity Detection: Multicollinearity occurs when two or more independent variables in a model are highly correlated. This can lead to problems such as instability in coefficient estimates, difficulty in interpreting feature importance, and reduced model robustness. By examining the correlation matrix, analysts can identify highly correlated variables and make informed decisions about which ones to include or exclude to mitigate multicollinearity. Removing redundant variables improves model interpretability and generalization.\n",
        "\n",
        "Here is your task:\n",
        "\n",
        "  1. Compute a correlation matrix between the variables 'trip_distance', 'fare_amount', 'tip_amount', 'total_amount', 'trip_duration' and use Seaborn to create a heatmap of the results. Which variables are strongly correlated?"
      ],
      "metadata": {
        "id": "yVQLUFXPGe4e"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Compute correlation matrix of numerical variables\n",
        "corr = df[['trip_distance', 'fare_amount', 'tip_amount', 'total_amount', 'trip_duration']].corr()\n",
        "\n",
        "# Create a heatmap of the correlation matrix\n",
        "sns.heatmap(corr, annot=True, cmap='coolwarm')\n",
        "plt.title('Correlation Matrix')\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 531
        },
        "id": "XCY8MrLAppQz",
        "outputId": "be43886d-1c2c-435b-b75a-24cce807d8ee"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 2 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "Pairplots, also known as scatterplot matrices, allow for the visualization of pairwise relationships between multiple variables simultaneously. Each subplot in the pairplot represents the scatterplot of one variable against another. Pairplots offer several advantages in EDA:\n",
        "\n",
        "  - Variable Relationships: Pairplots enable analysts to explore the relationships between variables, revealing patterns such as linear or nonlinear correlations, clusters, or other associations. These visual cues guide further analysis, feature selection, or modeling decisions.\n",
        "\n",
        "  - Multivariate Analysis: Pairplots help identify multivariate dependencies and interactions, highlighting how different variables jointly influence one another. This is particularly valuable in identifying potential confounding factors or discovering hidden interactions that may not be apparent when considering variables in isolation.\n",
        "\n",
        "  - Outlier Detection: Pairplots can reveal potential outliers by showing data points that deviate significantly from the general pattern observed between variables. Outliers can indicate data anomalies or influential observations that may impact model performance.\n",
        "\n",
        "  - Feature Importance: Pairplots provide an intuitive representation of the relative importance of different features. Variables exhibiting strong correlations or clear patterns may be more relevant for predictive modeling or feature selection.\n",
        "\n",
        "  - Data Quality: Pairplots can help identify data quality issues, such as data entry errors or measurement inconsistencies. Patterns that do not align with expectations or exhibit unusual trends may signal data problems that require further investigation or preprocessing.\n",
        "\n",
        "Here is your task:\n",
        "\n",
        "  1. Create a [pairplot matrix](https://seaborn.pydata.org/generated/seaborn.pairplot.html) using Seaborn to observation the relationship between the following variables: trip_distance, fare_amount, tip_amount, total_amount, trip_duration. Note, pairplots can be memory intensive. Try sampling the dataset using the [sample method](https://pandas.pydata.org/docs/reference/api/pandas.DataFrame.sample.html) in Pandas. Which variables appear to have a strong relationship? Which variables seem to have no relationship?"
      ],
      "metadata": {
        "id": "Eh6TJ8iRJHDm"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Create a scatter plot matrix of numerical variables. If memory issues try the df.sample method.\n",
        "sns.pairplot(df.sample(10000)[['trip_distance', 'fare_amount', 'tip_amount', 'total_amount', 'trip_duration']])\n",
        "plt.suptitle('Scatter Plot Matrix')\n",
        "plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "l_v24Ym3p8A-",
        "outputId": "94b5c11e-b276-4f41-8f82-3b1406f9b424"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1250x1250 with 30 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "A count plot is a type of categorical plot that displays the number of occurrences of each category in a dataset. It is particularly useful for visualizing the distribution and frequency of categorical variables. Here are some key uses and benefits of count plots:\n",
        "\n",
        "  - Categorical Variable Exploration: Count plots provide a quick and concise summary of the distribution of categorical variables. They allow analysts to understand the frequency or count of each category, revealing the proportions and imbalances within the dataset. This information is crucial for gaining insights into the composition and characteristics of categorical variables.\n",
        "\n",
        "  - Class Imbalance Assessment: In classification tasks, count plots help assess the balance or imbalance of different target classes. It provides a visual representation of the distribution of classes, highlighting any significant discrepancies in the sample sizes across categories. Identifying imbalanced classes is important in machine learning as it can affect model performance and bias the predictions towards the majority class.\n",
        "\n",
        "  - Data Quality Inspection: Count plots can be utilized to detect data quality issues in categorical variables. It allows analysts to identify unexpected or erroneous categories that may indicate data entry errors, missing data, or inconsistencies in the dataset. By observing the counts for each category, anomalies or discrepancies can be easily spotted, enabling data cleaning or further investigation if necessary.\n",
        "\n",
        "  - Feature Importance Evaluation: Count plots can provide insights into the importance or relevance of different categorical features in relation to the target variable. By visualizing the distribution of categories within each class or target level, analysts can determine which categories are more prevalent or have higher frequencies for specific outcomes. This understanding helps in assessing the discriminatory power of categorical features and their potential impact on predictive models.\n",
        "\n",
        "Here is your task:\n",
        "\n",
        "  1. Use Seaborn to create a [countplot](https://seaborn.pydata.org/generated/seaborn.countplot.html) for the variables PULocationID, and DOLocationID. Keep only the top 15 pick-up and drop-off locations. What's the most popular pick-up location?"
      ],
      "metadata": {
        "id": "OA1p83hesFkH"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Create a Seaborn countplot for PULocationID and DOLocationID. Only plot the top 15 categories by value counts.\n",
        "categorical_columns = ['PULocationID', 'DOLocationID']\n",
        "for column in categorical_columns:\n",
        "  # Calculate the value counts for the categorical variable\n",
        "  category_counts = df[column].value_counts()\n",
        "  # Select the top ten categories\n",
        "  top_ten_categories = category_counts.head(15).index\n",
        "  # Filter the DataFrame to include only the top ten categories\n",
        "  df_filtered = df[df[column].isin(top_ten_categories)]\n",
        "  plt.figure(figsize=(10, 6))\n",
        "  sns.countplot(data=df_filtered, x=column)\n",
        "  plt.suptitle(f\"Count of trips by {column}\")\n",
        "  plt.xticks(rotation=45)\n",
        "  plt.show()"
      ],
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "id": "eigDjtkTruQD",
        "outputId": "a81b3ba0-abfb-4633-bc01-6ab44a2e97a6"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x600 with 1 Axes>"
            ],
            "image/png": 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KlVKLFi00ZcoUXbhwQZUrV9b69ev15Zdfql69eqpataq13DfeeENvvfWWGjRooBdffFHbtm3TkiVL5O/vf8+1lilTRpMmTdLw4cNVoEAB5cqVS9WqVUtybJ06dVS1alX1799fR48eValSpbR06VL9+OOP6tq1q7Wl5UHWcDeFChVSmzZttGHDBgUEBGjq1Kk6deqUpk2bZo0pVqyYqlSpojJlyih79uzauHGjfvjhB6dLHtxJTEyMqlevrkaNGmnfvn369NNPVbFiRdWtW9dpXM6cOVWzZk3Nnj1bfn5+TuH7buLi4qzdKa9du6Zjx45p/vz52r59u6pWraopU6Y4je/bt6+2bNmiDz/8UGvXrlWDBg3k7e2tP/74Q998842KFi2qL7/88pb1nDlzRsOHD79lenBwsJo2bap+/fppyJAhqlmzpurWrWv1++yzz1oB1M3NTZMmTVKdOnVUunRptWrVSrlz59bevXu1a9cuLVmyRD4+PnrhhRc0cuRIxcbG6rHHHtPSpUt15MiRW9ZdpkwZSVL//v0VHh6ujBkzqk6dOlaQu7nvb7/9Vv/5z3/UuXNnZc+eXV9++aWOHDmi//3vf04nS7lfFy9etJ6TK1eu6ODBg5ozZ44OHTqk8PBwDRs2LNXWBQC35cIzVAJAurN//37Ttm1bkz9/fuPh4WGyZs1qnn/+efPxxx+ba9euWeNiY2PNkCFDTHBwsMmYMaPJmzev6devn9MYY66fLr5Pnz7G39/fZMqUyYSFhZmDBw/e9rT+GzZscLp/4qnNf/31V2taRESEqV27tsmaNauRdNdT/F+6dMl069bNBAUFmYwZM5qCBQuaUaNGOZ2+3ZiUndb/djXcro8b5918Wv/atWubJUuWmJIlSxpPT09TpEgRM3v2bKf7Dh8+3Dz33HPGz8/PeHt7myJFipj33nvP6VT9SUlc58qVK027du1MtmzZTJYsWUzTpk3N2bNnk7zP999/bySZdu3aJeuxMOb6aeUlWT+ZMmUy+fPnNw0aNDA//PCD0yn2bxQfH2+mTZtmnn/+eePj42O8vLzMU089ZYYMGWIuX758y/jKlSs7refGn+rVq1vjPvnkE1OkSBGTMWNGExAQYNq3b3/L6fuNMeaPP/4wL774osmaNavJnDmzKVmypPn444+t+X///bepX7++8fPzM76+vubVV181J06cSPJyFcOGDTOPPfaYcXNzc3qeb36tG2PMoUOHTMOGDY2fn5/x8vIyzz33nFm4cKHTmMTX/s2vhSNHjhhJZtq0aU6Pf1Kn9b/x8cmSJYspWLCgef31183SpUtveSwA4EFxGJPGjkQHAOD/5M+fX8WLF0/xxaEfpB9//FH16tXTqlWrrFPIAwBwrziGDQCAVPT555/riSee4GQUAIBUwTFsAACkgu+++07bt2/XokWLNH78+FQ9EyYA4NFFYAMAIBU0adJEWbJkUZs2bdShQwdXlwMASCc4hg0AAAAAbIpj2AAAAADApghsAAAAAGBTBDYAAAAAsCkCGwAAAADYFIENAAAAAGyKwAYAAAAANkVgAwAAAACbIrABAAAAgE0R2AAAAADApghsAAAAAGBTBDYAAAAAsCkCGwAAAADYFIENAAAAAGyKwAYAAAAANkVgAwAAAACbIrABAAAAgE0R2AAAAADApghsAAAAAGBTBDYAAAAAsCkCGwAAAADYFIENAAAAAGyKwAYAAAAANkVgAwAAAACbIrABAAAAgE0R2AAAAADApghsAAAAAGBTBDYAAAAAsCkCGwAAAADYFIENAAAAAGyKwAYAAAAANkVgAwAAAACbIrABAAAAgE0R2AAAAADApghsAAAAAGBTBDYAAAAAsCkCGwAAAADYFIENAAAAAGyKwAYAAAAANkVgAwAAAACbIrABAAAAgE25u7qAR0lCQoJOnDihrFmzyuFwuLocAAAAAC5ijNGlS5cUFBQkN7fbb0cjsD1EJ06cUN68eV1dBgAAAACbOH78uPLkyXPb+QS2hyhr1qySrj8pPj4+Lq4GAAAAgKtERkYqb968Vka4HQLbQ5S4G6SPjw+BDQAAAMBdD5XipCMAAAAAYFMENgAAAACwKQIbAAAAANgUgQ0AAAAAbIrABgAAAAA2RWADAAAAAJsisAEAAACATRHYAAAAAMCmCGwAAAAAYFMENgAAAACwKQIbAAAAANgUgQ0AAAAAbIrABgAAAAA2RWADAAAAAJsisAEAAACATRHYAAAAAMCmXBrYVq1apTp16igoKEgOh0Pz5s2z5sXGxqpPnz4qUaKEMmfOrKCgIDVv3lwnTpxwWsa5c+fUtGlT+fj4yM/PT23atNHly5edxmzfvl2VKlWSl5eX8ubNq5EjR95Sy+zZs1WkSBF5eXmpRIkS+umnn5zmG2M0aNAg5c6dW97e3goNDdWBAwdS78EAAAAAgJu4NLBFRUWpVKlSmjhx4i3zrly5os2bN2vgwIHavHmz5syZo3379qlu3bpO45o2bapdu3Zp2bJlWrhwoVatWqV27dpZ8yMjI1WjRg3ly5dPmzZt0qhRozR48GBNmTLFGrNmzRo1adJEbdq00ZYtW1SvXj3Vq1dPO3futMaMHDlSEyZM0OTJk7Vu3TplzpxZYWFhunbt2gN4ZAAAAABAchhjjKuLkCSHw6G5c+eqXr16tx2zYcMGPffcczp27Jgef/xx7dmzR8WKFdOGDRtUtmxZSdLixYtVq1Yt/f333woKCtKkSZPUv39/RUREyMPDQ5LUt29fzZs3T3v37pUkNW7cWFFRUVq4cKG1rvLly6t06dKaPHmyjDEKCgpSjx491LNnT0nSxYsXFRAQoOnTpys8PDxZPUZGRsrX11cXL16Uj4/PvTxMAAAAANKB5GYD94dY0327ePGiHA6H/Pz8JElr166Vn5+fFdYkKTQ0VG5ublq3bp3q16+vtWvX6oUXXrDCmiSFhYXpww8/1Pnz55UtWzatXbtW3bt3d1pXWFiYtYvmkSNHFBERodDQUGu+r6+vypUrp7Vr1yY7sAEAANxJ57nHXV3CXU2on9fVJQCPlDQT2K5du6Y+ffqoSZMmVgKNiIhQrly5nMa5u7sre/bsioiIsMYEBwc7jQkICLDmZcuWTREREda0G8fcuIwb75fUmKRER0crOjrauh0ZGZnsfgEAAAAgTZwlMjY2Vo0aNZIxRpMmTXJ1Ock2YsQI+fr6Wj958/KNFAAAAIDks31gSwxrx44d07Jly5z27wwMDNTp06edxsfFxencuXMKDAy0xpw6dcppTOLtu425cf6N90tqTFL69eunixcvWj/Hj9t/NwcAAAAA9mHrwJYY1g4cOKBffvlFOXLkcJofEhKiCxcuaNOmTda0FStWKCEhQeXKlbPGrFq1SrGxsdaYZcuWqXDhwsqWLZs1Zvny5U7LXrZsmUJCQiRJwcHBCgwMdBoTGRmpdevWWWOS4unpKR8fH6cfAAAAAEgulwa2y5cva+vWrdq6dauk6yf32Lp1q/766y/FxsaqYcOG2rhxo2bMmKH4+HhFREQoIiJCMTExkqSiRYuqZs2aatu2rdavX6/Vq1erU6dOCg8PV1BQkCTptddek4eHh9q0aaNdu3Zp1qxZGj9+vNNJRrp06aLFixdrzJgx2rt3rwYPHqyNGzeqU6dOkq6fwbJr164aPny45s+frx07dqh58+YKCgq641ktAQAAAOB+uPS0/r/99puqVq16y/QWLVpo8ODBt5wsJNGvv/6qKlWqSLp+4exOnTppwYIFcnNzU4MGDTRhwgRlyZLFGr99+3Z17NhRGzZskL+/v95++2316dPHaZmzZ8/WgAEDdPToURUsWFAjR45UrVq1rPnGGL377ruaMmWKLly4oIoVK+rTTz9VoUKFkt0vp/UHAAB3wlkigUdHcrOBba7D9iggsAEAgDshsAGPjuRmA1sfwwYAAAAAjzICGwAAAADYFIENAAAAAGyKwAYAAAAANkVgAwAAAACbIrABAAAAgE0R2AAAAADApghsAAAAAGBTBDYAAAAAsCkCGwAAAADYFIENAAAAAGyKwAYAAAAANkVgAwAAAACbIrABAAAAgE0R2AAAAADApghsAAAAAGBTBDYAAAAAsCkCGwAAAADYFIENAAAAAGyKwAYAAAAANkVgAwAAAACbIrABAAAAgE0R2AAAAADApghsAAAAAGBTBDYAAAAAsCkCGwAAAADYFIENAAAAAGyKwAYAAAAANkVgAwAAAACbIrABAAAAgE0R2AAAAADApghsAAAAAGBTBDYAAAAAsCkCGwAAAADYFIENAAAAAGyKwAYAAAAANkVgAwAAAACbIrABAAAAgE0R2AAAAADApghsAAAAAGBTBDYAAAAAsCkCGwAAAADYFIENAAAAAGyKwAYAAAAANkVgAwAAAACbIrABAAAAgE0R2AAAAADApghsAAAAAGBTBDYAAAAAsCkCGwAAAADYFIENAAAAAGyKwAYAAAAANuXu6gIAAACQ/sz54V9Xl5AsrzT0d3UJwB2xhQ0AAAAAbIrABgAAAAA2RWADAAAAAJsisAEAAACATRHYAAAAAMCmCGwAAAAAYFMENgAAAACwKQIbAAAAANgUgQ0AAAAAbMqlgW3VqlWqU6eOgoKC5HA4NG/ePKf5xhgNGjRIuXPnlre3t0JDQ3XgwAGnMefOnVPTpk3l4+MjPz8/tWnTRpcvX3Yas337dlWqVEleXl7KmzevRo4ceUsts2fPVpEiReTl5aUSJUrop59+SnEtAAAAAJCaXBrYoqKiVKpUKU2cODHJ+SNHjtSECRM0efJkrVu3TpkzZ1ZYWJiuXbtmjWnatKl27dqlZcuWaeHChVq1apXatWtnzY+MjFSNGjWUL18+bdq0SaNGjdLgwYM1ZcoUa8yaNWvUpEkTtWnTRlu2bFG9evVUr1497dy5M0W1AAAAAEBqchhjjKuLkCSHw6G5c+eqXr16kq5v0QoKClKPHj3Us2dPSdLFixcVEBCg6dOnKzw8XHv27FGxYsW0YcMGlS1bVpK0ePFi1apVS3///beCgoI0adIk9e/fXxEREfLw8JAk9e3bV/PmzdPevXslSY0bN1ZUVJQWLlxo1VO+fHmVLl1akydPTlYtyREZGSlfX19dvHhRPj4+qfK4AQCA9KPz3OOuLuGuJtTPm6xxc3749wFXkjpeaejv6hLwiEpuNrDtMWxHjhxRRESEQkNDrWm+vr4qV66c1q5dK0lau3at/Pz8rLAmSaGhoXJzc9O6deusMS+88IIV1iQpLCxM+/bt0/nz560xN64ncUziepJTCwAAAACkNndXF3A7ERERkqSAgACn6QEBAda8iIgI5cqVy2m+u7u7smfP7jQmODj4lmUkzsuWLZsiIiLuup671ZKU6OhoRUdHW7cjIyPv0DEAAAAAOLPtFrb0YMSIEfL19bV+8uZN3i4EAAAAACDZOLAFBgZKkk6dOuU0/dSpU9a8wMBAnT592ml+XFyczp075zQmqWXcuI7bjblx/t1qSUq/fv108eJF6+f4cfvvlw4AAADAPmwb2IKDgxUYGKjly5db0yIjI7Vu3TqFhIRIkkJCQnThwgVt2rTJGrNixQolJCSoXLly1phVq1YpNjbWGrNs2TIVLlxY2bJls8bcuJ7EMYnrSU4tSfH09JSPj4/TDwAAAAAkl0sD2+XLl7V161Zt3bpV0vWTe2zdulV//fWXHA6HunbtquHDh2v+/PnasWOHmjdvrqCgIOtMkkWLFlXNmjXVtm1brV+/XqtXr1anTp0UHh6uoKAgSdJrr70mDw8PtWnTRrt27dKsWbM0fvx4de/e3aqjS5cuWrx4scaMGaO9e/dq8ODB2rhxozp16iRJyaoFAAAAAFKbS086snHjRlWtWtW6nRiiWrRooenTp6t3796KiopSu3btdOHCBVWsWFGLFy+Wl5eXdZ8ZM2aoU6dOql69utzc3NSgQQNNmDDBmu/r66ulS5eqY8eOKlOmjPz9/TVo0CCna7VVqFBBM2fO1IABA/TOO++oYMGCmjdvnooXL26NSU4tAAAAAJCabHMdtkcB12EDAAB3wnXYHj6uwwZXSfPXYQMAAACARx2BDQAAAABsisAGAAAAADZFYAMAAAAAmyKwAQAAAIBNEdgAAAAAwKYIbAAAAABgUwQ2AAAAALApAhsAAAAA2BSBDQAAAABsisAGAAAAADZFYAMAAAAAmyKwAQAAAIBNEdgAAAAAwKYIbAAAAABgUwQ2AAAAALApAhsAAAAA2BSBDQAAAABsisAGAAAAADZFYAMAAAAAmyKwAQAAAIBNEdgAAAAAwKYIbAAAAABgUwQ2AAAAALApAhsAAAAA2BSBDQAAAABsisAGAAAAADZFYAMAAAAAmyKwAQAAAIBNEdgAAAAAwKYIbAAAAABgUwQ2AAAAALApAhsAAAAA2BSBDQAAAABsisAGAAAAADZFYAMAAAAAmyKwAQAAAIBNEdgAAAAAwKYIbAAAAABgUwQ2AAAAALApAhsAAAAA2BSBDQAAAABsisAGAAAAADZFYAMAAAAAmyKwAQAAAIBNEdgAAAAAwKYIbAAAAABgUwQ2AAAAALApAhsAAAAA2BSBDQAAAABsisAGAAAAADZFYAMAAAAAmyKwAQAAAIBNEdgAAAAAwKYIbAAAAABgUwQ2AAAAALApAhsAAAAA2BSBDQAAAABsisAGAAAAADZFYAMAAAAAmyKwAQAAAIBNEdgAAAAAwKZsHdji4+M1cOBABQcHy9vbW08++aSGDRsmY4w1xhijQYMGKXfu3PL29lZoaKgOHDjgtJxz586padOm8vHxkZ+fn9q0aaPLly87jdm+fbsqVaokLy8v5c2bVyNHjrylntmzZ6tIkSLy8vJSiRIl9NNPPz2YxgEAAABANg9sH374oSZNmqRPPvlEe/bs0YcffqiRI0fq448/tsaMHDlSEyZM0OTJk7Vu3TplzpxZYWFhunbtmjWmadOm2rVrl5YtW6aFCxdq1apVateunTU/MjJSNWrUUL58+bRp0yaNGjVKgwcP1pQpU6wxa9asUZMmTdSmTRtt2bJF9erVU7169bRz586H82AAAAAAeOQ4zI2bq2zmpZdeUkBAgP773/9a0xo0aCBvb2998803MsYoKChIPXr0UM+ePSVJFy9eVEBAgKZPn67w8HDt2bNHxYoV04YNG1S2bFlJ0uLFi1WrVi39/fffCgoK0qRJk9S/f39FRETIw8NDktS3b1/NmzdPe/fulSQ1btxYUVFRWrhwoVVL+fLlVbp0aU2ePDlZ/URGRsrX11cXL16Uj49PqjxGAAAg/eg897irS7irCfXzJmvcnB/+fcCVpI5XGvq7ugQ8opKbDWy9ha1ChQpavny59u/fL0natm2b/vjjD/3nP/+RJB05ckQREREKDQ217uPr66ty5cpp7dq1kqS1a9fKz8/PCmuSFBoaKjc3N61bt84a88ILL1hhTZLCwsK0b98+nT9/3hpz43oSxySuBwAAAABSm7urC7iTvn37KjIyUkWKFFGGDBkUHx+v9957T02bNpUkRURESJICAgKc7hcQEGDNi4iIUK5cuZzmu7u7K3v27E5jgoODb1lG4rxs2bIpIiLijutJSnR0tKKjo63bkZGRye4dAAAAAGy9he3777/XjBkzNHPmTG3evFlffvmlRo8erS+//NLVpSXLiBEj5Ovra/3kzZu8XQgAAAAAQLJ5YOvVq5f69u2r8PBwlShRQs2aNVO3bt00YsQISVJgYKAk6dSpU073O3XqlDUvMDBQp0+fdpofFxenc+fOOY1Jahk3ruN2YxLnJ6Vfv366ePGi9XP8uP33SwcAAABgH7YObFeuXJGbm3OJGTJkUEJCgiQpODhYgYGBWr58uTU/MjJS69atU0hIiCQpJCREFy5c0KZNm6wxK1asUEJCgsqVK2eNWbVqlWJjY60xy5YtU+HChZUtWzZrzI3rSRyTuJ6keHp6ysfHx+kHAAAAAJLL1oGtTp06eu+997Ro0SIdPXpUc+fO1dixY1W/fn1JksPhUNeuXTV8+HDNnz9fO3bsUPPmzRUUFKR69epJkooWLaqaNWuqbdu2Wr9+vVavXq1OnTopPDxcQUFBkqTXXntNHh4eatOmjXbt2qVZs2Zp/Pjx6t69u1VLly5dtHjxYo0ZM0Z79+7V4MGDtXHjRnXq1OmhPy4AAAAAHg22PunIxx9/rIEDB6pDhw46ffq0goKC9Oabb2rQoEHWmN69eysqKkrt2rXThQsXVLFiRS1evFheXl7WmBkzZqhTp06qXr263Nzc1KBBA02YMMGa7+vrq6VLl6pjx44qU6aM/P39NWjQIKdrtVWoUEEzZ87UgAED9M4776hgwYKaN2+eihcv/nAeDAAAAACPHFtfhy294TpsAADgTrgO28PHddjgKuniOmwAAAAA8CgjsAEAAACATRHYAAAAAMCmCGwAAAAAYFMENgAAAACwKQIbAAAAANgUgQ0AAAAAbMrWF84GkLp+mFbT1SXcVcNWi11dAgAAgG2whQ0AAAAAbIrABgAAAAA2RWADAAAAAJsisAEAAACATRHYAAAAAMCmCGwAAAAAYFMENgAAAACwKQIbAAAAANgUgQ0AAAAAbIrABgAAAAA2RWADAAAAAJtyd3UBAACp1dyari4hWabVX+zqEgAAqSBi9EFXl3BXgT0LuLoEW2ALGwAAAADYFIENAAAAAGyKwAYAAAAANsUxbAAA3EXt/33h6hLualGDN1xdAgDgAWALGwAAAADYFIENAAAAAGyKwAYAAAAANkVgAwAAAACbIrABAAAAgE0R2AAAAADApghsAAAAAGBTBDYAAAAAsCkCGwAAAADYFIENAAAAAGyKwAYAAAAANuXu6gIA4F5NmBHm6hLuqnPTJa4uAQAApGFsYQMAAAAAmyKwAQAAAIBN3VNgq1atmi5cuHDL9MjISFWrVu1+awIAAAAA6B4D22+//aaYmJhbpl+7dk2///77fRcFAAAAAEjhSUe2b99u/X/37t2KiIiwbsfHx2vx4sV67LHHUq86AAAAAHiEpSiwlS5dWg6HQw6HI8ldH729vfXxxx+nWnEAAAAA8ChLUWA7cuSIjDF64okntH79euXMmdOa5+HhoVy5cilDhgypXiQAAAAAPIpSFNjy5csnSUpISHggxTyqzkz6xtUl3FXO9q+7ugQAAADgkXPPF84+cOCAfv31V50+ffqWADdo0KD7LgwAAAAAHnX3FNg+//xztW/fXv7+/goMDJTD4bDmORwOAhsAAAAApIJ7CmzDhw/Xe++9pz59+qR2PQAAAACA/3NP12E7f/68Xn311dSuBQAAAABwg3sKbK+++qqWLl2a2rUAAAAAAG5wT7tEFihQQAMHDtSff/6pEiVKKGPGjE7zO3funCrFAQAAAMCj7J4C25QpU5QlSxatXLlSK1eudJrncDgIbAAAAACQCu4psB05ciS16wAAAAAA3OSejmEDAAAAADx497SFrXXr1necP3Xq1HsqBgAAALCjLV+cdnUJd/X0G7lcXQIegHsKbOfPn3e6HRsbq507d+rChQuqVq1aqhQGAAAAAI+6ewpsc+fOvWVaQkKC2rdvryeffPK+iwIAAAAApOIxbG5uburevbs++uij1FokAAAAADzSUvWkI4cOHVJcXFxqLhIAAAAAHln3tEtk9+7dnW4bY3Ty5EktWrRILVq0SJXCAAAAAOBRd0+BbcuWLU633dzclDNnTo0ZM+auZ5AEAAAAACTPPQW2X3/9NbXrAAAAAADc5J4CW6IzZ85o3759kqTChQsrZ86cqVIUAAAAAOAeTzoSFRWl1q1bK3fu3HrhhRf0wgsvKCgoSG3atNGVK1dStcB//vlHr7/+unLkyCFvb2+VKFFCGzdutOYbYzRo0CDlzp1b3t7eCg0N1YEDB5yWce7cOTVt2lQ+Pj7y8/NTmzZtdPnyZacx27dvV6VKleTl5aW8efNq5MiRt9Qye/ZsFSlSRF5eXipRooR++umnVO0VAAAAAG50T4Gte/fuWrlypRYsWKALFy7owoUL+vHHH7Vy5Ur16NEj1Yo7f/68nn/+eWXMmFE///yzdu/erTFjxihbtmzWmJEjR2rChAmaPHmy1q1bp8yZMyssLEzXrl2zxjRt2lS7du3SsmXLtHDhQq1atUrt2rWz5kdGRqpGjRrKly+fNm3apFGjRmnw4MGaMmWKNWbNmjVq0qSJ2rRpoy1btqhevXqqV6+edu7cmWr9AgAAAMCN7mmXyP/973/64YcfVKVKFWtarVq15O3trUaNGmnSpEmpUtyHH36ovHnzatq0ada04OBg6//GGI0bN04DBgzQyy+/LEn66quvFBAQoHnz5ik8PFx79uzR4sWLtWHDBpUtW1aS9PHHH6tWrVoaPXq0goKCNGPGDMXExGjq1Kny8PDQU089pa1bt2rs2LFWsBs/frxq1qypXr16SZKGDRumZcuW6ZNPPtHkyZNTpV8AAAAAuNE9bWG7cuWKAgICbpmeK1euVN0lcv78+SpbtqxeffVV5cqVS08//bQ+//xza/6RI0cUERGh0NBQa5qvr6/KlSuntWvXSpLWrl0rPz8/K6xJUmhoqNzc3LRu3TprzAsvvCAPDw9rTFhYmPbt26fz589bY25cT+KYxPUAAAAAQGq7p8AWEhKid99912m3w6tXr2rIkCEKCQlJteIOHz6sSZMmqWDBglqyZInat2+vzp0768svv5QkRURESNIt4TEgIMCaFxERoVy5cjnNd3d3V/bs2Z3GJLWMG9dxuzGJ85MSHR2tyMhIpx8AAAAASK572iVy3LhxqlmzpvLkyaNSpUpJkrZt2yZPT08tXbo01YpLSEhQ2bJl9f7770uSnn76ae3cuVOTJ09OExfoHjFihIYMGeLqMgAAAACkUfe0ha1EiRI6cOCARowYodKlS6t06dL64IMPdPDgQT311FOpVlzu3LlVrFgxp2lFixbVX3/9JUkKDAyUJJ06dcppzKlTp6x5gYGBOn36tNP8uLg4nTt3zmlMUsu4cR23G5M4Pyn9+vXTxYsXrZ/jx4/fvWkAAAAA+D/3tIVtxIgRCggIUNu2bZ2mT506VWfOnFGfPn1Spbjnn3/eus5bov379ytfvnySrp+AJDAwUMuXL1fp0qUlXT/j47p169S+fXtJ13ffvHDhgjZt2qQyZcpIklasWKGEhASVK1fOGtO/f3/FxsYqY8aMkqRly5apcOHC1hkpQ0JCtHz5cnXt2tWqZdmyZXfcBdTT01Oenp73/0AAAAAASNKpCb+5uoRkCehc5Z7ud09b2D777DMVKVLklulPPfVUqp4xsVu3bvrzzz/1/vvv6+DBg5o5c6amTJmijh07SpIcDoe6du2q4cOHa/78+dqxY4eaN2+uoKAg1atXT9L1LXI1a9ZU27ZttX79eq1evVqdOnVSeHi4goKCJEmvvfaaPDw81KZNG+3atUuzZs3S+PHj1b17d6uWLl26aPHixRozZoz27t2rwYMHa+PGjerUqVOq9QsAAAAAN7qnLWwRERHKnTv3LdNz5sypkydP3ndRiZ599lnNnTtX/fr109ChQxUcHKxx48apadOm1pjevXsrKipK7dq104ULF1SxYkUtXrxYXl5e1pgZM2aoU6dOql69utzc3NSgQQNNmDDBmu/r66ulS5eqY8eOKlOmjPz9/TVo0CCna7VVqFBBM2fO1IABA/TOO++oYMGCmjdvnooXL55q/QIAAADAje4psOXNm1erV692uiaaJK1evdraapVaXnrpJb300ku3ne9wODR06FANHTr0tmOyZ8+umTNn3nE9JUuW1O+//37HMa+++qpeffXVOxcMAAAAAKnkngJb27Zt1bVrV8XGxqpatWqSpOXLl6t3797q0aNHqhYIAAAAAI+qewpsvXr10tmzZ9WhQwfFxMRIkry8vNSnTx/169cvVQsEAAAAgEfVPQU2h8OhDz/8UAMHDtSePXvk7e2tggULckZEAAAAAEhF9xTYEmXJkkXPPvtsatUC2M7aKbc/ftJOQtotdHUJAAAAeADu6bT+AAAAAIAHj8AGAAAAADZFYAMAAAAAm7qvY9gAAEDaUueHOa4uIVkWNHzF1SUAgC0Q2AAAqa7W3OGuLuGufqo/wNUlAABwVwQ2AACQZtX/3x+uLuGu5jao6OoSAKRhBDakuhMTu7u6hLsK6jjW1SUAAAAAd8VJRwAAAADApghsAAAAAGBTBDYAAAAAsCkCGwAAAADYFIENAAAAAGyKwAYAAAAANkVgAwAAAACbIrABAAAAgE0R2AAAAADApghsAAAAAGBTBDYAAAAAsCkCGwAAAADYFIENAAAAAGyKwAYAAAAANkVgAwAAAACbIrABAAAAgE0R2AAAAADApghsAAAAAGBTBDYAAAAAsCkCGwAAAADYFIENAAAAAGyKwAYAAAAANkVgAwAAAACbIrABAAAAgE0R2AAAAADApghsAAAAAGBTBDYAAAAAsCkCGwAAAADYFIENAAAAAGyKwAYAAAAANkVgAwAAAACbIrABAAAAgE0R2AAAAADApghsAAAAAGBTBDYAAAAAsCkCGwAAAADYFIENAAAAAGyKwAYAAAAANkVgAwAAAACbIrABAAAAgE0R2AAAAADApghsAAAAAGBTBDYAAAAAsCkCGwAAAADYFIENAAAAAGyKwAYAAAAANkVgAwAAAACbIrABAAAAgE0R2AAAAADApghsAAAAAGBTBDYAAAAAsKk0Fdg++OADORwOde3a1Zp27do1dezYUTly5FCWLFnUoEEDnTp1yul+f/31l2rXrq1MmTIpV65c6tWrl+Li4pzG/Pbbb3rmmWfk6empAgUKaPr06besf+LEicqfP7+8vLxUrlw5rV+//kG0CQAAAACS0lBg27Bhgz777DOVLFnSaXq3bt20YMECzZ49WytXrtSJEyf0yiuvWPPj4+NVu3ZtxcTEaM2aNfryyy81ffp0DRo0yBpz5MgR1a5dW1WrVtXWrVvVtWtXvfHGG1qyZIk1ZtasWerevbveffddbd68WaVKlVJYWJhOnz794JsHAAAA8EhKE4Ht8uXLatq0qT7//HNly5bNmn7x4kX997//1dixY1WtWjWVKVNG06ZN05o1a/Tnn39KkpYuXardu3frm2++UenSpfWf//xHw4YN08SJExUTEyNJmjx5soKDgzVmzBgVLVpUnTp1UsOGDfXRRx9Z6xo7dqzatm2rVq1aqVixYpo8ebIyZcqkqVOnPtwHAwAAAMAjI00Eto4dO6p27doKDQ11mr5p0ybFxsY6TS9SpIgef/xxrV27VpK0du1alShRQgEBAdaYsLAwRUZGateuXdaYm5cdFhZmLSMmJkabNm1yGuPm5qbQ0FBrDAAAAACkNndXF3A33333nTZv3qwNGzbcMi8iIkIeHh7y8/Nzmh4QEKCIiAhrzI1hLXF+4rw7jYmMjNTVq1d1/vx5xcfHJzlm7969t609Ojpa0dHR1u3IyMi7dAsAAAAA/5+tt7AdP35cXbp00YwZM+Tl5eXqclJsxIgR8vX1tX7y5s3r6pIAAAAApCG2DmybNm3S6dOn9cwzz8jd3V3u7u5auXKlJkyYIHd3dwUEBCgmJkYXLlxwut+pU6cUGBgoSQoMDLzlrJGJt+82xsfHR97e3vL391eGDBmSHJO4jKT069dPFy9etH6OHz9+T48DAAAAgEeTrQNb9erVtWPHDm3dutX6KVu2rJo2bWr9P2PGjFq+fLl1n3379umvv/5SSEiIJCkkJEQ7duxwOpvjsmXL5OPjo2LFilljblxG4pjEZXh4eKhMmTJOYxISErR8+XJrTFI8PT3l4+Pj9AMAAAAAyWXrY9iyZs2q4sWLO03LnDmzcuTIYU1v06aNunfvruzZs8vHx0dvv/22QkJCVL58eUlSjRo1VKxYMTVr1kwjR45URESEBgwYoI4dO8rT01OS9NZbb+mTTz5R79691bp1a61YsULff/+9Fi1aZK23e/fuatGihcqWLavnnntO48aNU1RUlFq1avWQHg0AAAAAjxpbB7bk+Oijj+Tm5qYGDRooOjpaYWFh+vTTT635GTJk0MKFC9W+fXuFhIQoc+bMatGihYYOHWqNCQ4O1qJFi9StWzeNHz9eefLk0RdffKGwsDBrTOPGjXXmzBkNGjRIERERKl26tBYvXnzLiUgAAAAAILWkucD222+/Od328vLSxIkTNXHixNveJ1++fPrpp5/uuNwqVapoy5YtdxzTqVMnderUKdm1AgAAAMD9sPUxbAAAAADwKCOwAQAAAIBNEdgAAAAAwKYIbAAAAABgUwQ2AAAAALApAhsAAAAA2BSBDQAAAABsisAGAAAAADZFYAMAAAAAmyKwAQAAAIBNEdgAAAAAwKYIbAAAAABgUwQ2AAAAALApAhsAAAAA2BSBDQAAAABsisAGAAAAADZFYAMAAAAAmyKwAQAAAIBNEdgAAAAAwKYIbAAAAABgUwQ2AAAAALApAhsAAAAA2BSBDQAAAABsisAGAAAAADZFYAMAAAAAmyKwAQAAAIBNEdgAAAAAwKYIbAAAAABgUwQ2AAAAALApAhsAAAAA2BSBDQAAAABsisAGAAAAADZFYAMAAAAAmyKwAQAAAIBNEdgAAAAAwKYIbAAAAABgUwQ2AAAAALApAhsAAAAA2BSBDQAAAABsisAGAAAAADZFYAMAAAAAmyKwAQAAAIBNEdgAAAAAwKYIbAAAAABgUwQ2AAAAALApAhsAAAAA2BSBDQAAAABsisAGAAAAADZFYAMAAAAAmyKwAQAAAIBNEdgAAAAAwKYIbAAAAABgUwQ2AAAAALApAhsAAAAA2BSBDQAAAABsisAGAAAAADZFYAMAAAAAmyKwAQAAAIBNEdgAAAAAwKYIbAAAAABgUwQ2AAAAALApAhsAAAAA2JStA9uIESP07LPPKmvWrMqVK5fq1aunffv2OY25du2aOnbsqBw5cihLlixq0KCBTp065TTmr7/+Uu3atZUpUyblypVLvXr1UlxcnNOY3377Tc8884w8PT1VoEABTZ8+/ZZ6Jk6cqPz588vLy0vlypXT+vXrU71nAAAAAEhk68C2cuVKdezYUX/++aeWLVum2NhY1ahRQ1FRUdaYbt26acGCBZo9e7ZWrlypEydO6JVXXrHmx8fHq3bt2oqJidGaNWv05Zdfavr06Ro0aJA15siRI6pdu7aqVq2qrVu3qmvXrnrjjTe0ZMkSa8ysWbPUvXt3vfvuu9q8ebNKlSqlsLAwnT59+uE8GAAAAAAeOe6uLuBOFi9e7HR7+vTpypUrlzZt2qQXXnhBFy9e1H//+1/NnDlT1apVkyRNmzZNRYsW1Z9//qny5ctr6dKl2r17t3755RcFBASodOnSGjZsmPr06aPBgwfLw8NDkydPVnBwsMaMGSNJKlq0qP744w999NFHCgsLkySNHTtWbdu2VatWrSRJkydP1qJFizR16lT17dv3IT4qAAAAAB4Vtt7CdrOLFy9KkrJnzy5J2rRpk2JjYxUaGmqNKVKkiB5//HGtXbtWkrR27VqVKFFCAQEB1piwsDBFRkZq165d1pgbl5E4JnEZMTEx2rRpk9MYNzc3hYaGWmMAAAAAILXZegvbjRISEtS1a1c9//zzKl68uCQpIiJCHh4e8vPzcxobEBCgiIgIa8yNYS1xfuK8O42JjIzU1atXdf78ecXHxyc5Zu/evbetOTo6WtHR0dbtyMjIFHQMAAAA4FGXZrawdezYUTt37tR3333n6lKSbcSIEfL19bV+8ubN6+qSAAAAAKQhaSKwderUSQsXLtSvv/6qPHnyWNMDAwMVExOjCxcuOI0/deqUAgMDrTE3nzUy8fbdxvj4+Mjb21v+/v7KkCFDkmMSl5GUfv366eLFi9bP8ePHU9Y4AAAAgEearQObMUadOnXS3LlztWLFCgUHBzvNL1OmjDJmzKjly5db0/bt26e//vpLISEhkqSQkBDt2LHD6WyOy5Ytk4+Pj4oVK2aNuXEZiWMSl+Hh4aEyZco4jUlISNDy5cutMUnx9PSUj4+P0w8AAAAAJJetj2Hr2LGjZs6cqR9//FFZs2a1jjnz9fWVt7e3fH191aZNG3Xv3l3Zs2eXj4+P3n77bYWEhKh8+fKSpBo1aqhYsWJq1qyZRo4cqYiICA0YMEAdO3aUp6enJOmtt97SJ598ot69e6t169ZasWKFvv/+ey1atMiqpXv37mrRooXKli2r5557TuPGjVNUVJR11kgAAAAASG22DmyTJk2SJFWpUsVp+rRp09SyZUtJ0kcffSQ3Nzc1aNBA0dHRCgsL06effmqNzZAhgxYuXKj27dsrJCREmTNnVosWLTR06FBrTHBwsBYtWqRu3bpp/PjxypMnj7744gvrlP6S1LhxY505c0aDBg1SRESESpcurcWLF99yIhIAAAAASC22DmzGmLuO8fLy0sSJEzVx4sTbjsmXL59++umnOy6nSpUq2rJlyx3HdOrUSZ06dbprTQAAAACQGmx9DBsAAAAAPMoIbAAAAABgUwQ2AAAAALApAhsAAAAA2BSBDQAAAABsisAGAAAAADZFYAMAAAAAmyKwAQAAAIBNEdgAAAAAwKYIbAAAAABgUwQ2AAAAALApAhsAAAAA2BSBDQAAAABsisAGAAAAADZFYAMAAAAAmyKwAQAAAIBNEdgAAAAAwKYIbAAAAABgUwQ2AAAAALApAhsAAAAA2BSBDQAAAABsisAGAAAAADZFYAMAAAAAmyKwAQAAAIBNEdgAAAAAwKYIbAAAAABgUwQ2AAAAALApAhsAAAAA2BSBDQAAAABsisAGAAAAADZFYAMAAAAAmyKwAQAAAIBNEdgAAAAAwKYIbAAAAABgUwQ2AAAAALApAhsAAAAA2BSBDQAAAABsisAGAAAAADZFYAMAAAAAmyKwAQAAAIBNEdgAAAAAwKYIbAAAAABgUwQ2AAAAALApAhsAAAAA2BSBDQAAAABsisAGAAAAADZFYAMAAAAAmyKwAQAAAIBNEdgAAAAAwKYIbAAAAABgUwQ2AAAAALApAhsAAAAA2BSBDQAAAABsisAGAAAAADZFYAMAAAAAmyKwAQAAAIBNEdgAAAAAwKYIbAAAAABgUwQ2AAAAALApAhsAAAAA2BSBDQAAAABsisAGAAAAADZFYAMAAAAAmyKwpdDEiROVP39+eXl5qVy5clq/fr2rSwIAAACQThHYUmDWrFnq3r273n33XW3evFmlSpVSWFiYTp8+7erSAAAAAKRDBLYUGDt2rNq2batWrVqpWLFimjx5sjJlyqSpU6e6ujQAAAAA6ZC7qwtIK2JiYrRp0yb169fPmubm5qbQ0FCtXbs2yftER0crOjraun3x4kVJUmRkpNO4S1evPoCKU5fnTTXfyaWr0Xcf5GI3Pwe3E3U19gFXkjqS28+Vq3EPuJL7l9xeJOnalfTTT0wa6EVKfj+xV6494EruX0pea7FX7P8+nfzn5soDriR1JL+fqAdcyf1LyWst5sqlB1hJ6kj235w00IskRUZ6JGvc5av27ycy0ivZYy9ds38/mZL5Wrt0zf7vA5LkfVM/ib9Lxpg73s9h7jYCkqQTJ07oscce05o1axQSEmJN7927t1auXKl169bdcp/BgwdryJAhD7NMAAAAAGnI8ePHlSdPntvOZwvbA9SvXz91797dup2QkKBz584pR44ccjgcD2y9kZGRyps3r44fPy4fH58Htp6HIT31ItGPnaWnXiT6sbP01ItEP3aWnnqR6MfO0lMv0sPrxxijS5cuKSgo6I7jCGzJ5O/vrwwZMujUqVNO00+dOqXAwMAk7+Pp6SlPT0+naX5+fg+qxFv4+Piki18aKX31ItGPnaWnXiT6sbP01ItEP3aWnnqR6MfO0lMv0sPpx9fX965jOOlIMnl4eKhMmTJavny5NS0hIUHLly932kUSAAAAAFILW9hSoHv37mrRooXKli2r5557TuPGjVNUVJRatWrl6tIAAAAApEMEthRo3Lixzpw5o0GDBikiIkKlS5fW4sWLFRAQ4OrSnHh6eurdd9+9ZXfMtCg99SLRj52lp14k+rGz9NSLRD92lp56kejHztJTL5L9+uEskQAAAABgUxzDBgAAAAA2RWADAAAAAJsisAEAAACATRHYAAAAAMCmCGxIMzg/DgAAAB41BDbYXkJCgiTJ4XC4uJIHwxhDGLUpnhf7Sy/PEe8DeBj+/vtvbdiwwdVlpJpdu3Zp5MiRri4jVSQkJFifd2B/D/v9muuwpTOHDx/W/Pnzdfz4cdWvX19lypSRt7e3q8u6ZwcOHNBXX32l48ePq3r16qpVq5Zy5Mjh6rJSRXR0tDw9PRUXF6eMGTO6upxUYYxJF8E6Pj5eGTJkUHx8vNzd3ZWQkCA3N77fsouYmBh5eHhYv0Np+flJb+8DR48e1bJlyyRJAQEBqlu3rosruneJvbi5uSlv3ryqUaOGq0u6L9u3b1fDhg31yiuv6PHHH7fdNWRTaseOHQoJCdGVK1dUoUIFVaxY0dUl3bN9+/bpo48+0vHjx1WqVCm99957afpvaXp6H5CkQ4cO6auvvtK///6rYsWKqWPHjg/9+SGwpSM7duxQaGioypQpo3379mnOnDn68ccfVbJkSVeXdk927NihqlWrKjQ0VEePHtWmTZvk5+enOnXquLq0+7Zr1y4NHDhQly5dUoYMGfTOO++ofPny8vDwcHVp9+TgwYM6f/68nn322TT94VmS9u/fr4kTJ+qff/5Rjhw51L9/fz3++ONptq/9+/fr6NGjqlGjRroI1Hv37tUHH3ygEydOSJI+/vhjFS5cOE0+P+ntfSDxb1CJEiV09epVbdu2TS+//LIGDBigokWLurq8FEn8+1OwYEGdOXNGp06dUnh4uIYOHarcuXO7urwUO3jwoEJDQ9WsWTMNHz5c7u5p++Pftm3bVL58eTVo0ED79+/Xb7/9pooVK1pftqUlO3fuVNWqVVW1alU9/vjjmjBhgnXR5rQoPb0PSNe/6AgLC1OZMmXkcDg0ZcoUJSQk6O23336odaStv264rZMnT6px48bq0KGDFixYoEOHDilTpkxavXq107i0ssvNmTNn1Lx5c7Vv317fffed/vzzT/n7+2v79u2uLu2+HThwQBUqVFDOnDn19NNPK2vWrKpSpYref/99/fXXX64uL8X279+vkiVLqly5cvrtt9/k5uaWZnfr2LlzpypUqKBLly4pY8aMOnDggBo2bKhz586luTAgXX+tlSpVSjVr1tQPP/wgh8ORZt4DkrJz5049//zz8vb2VsmSJZUxY0ZVrlxZERERae75SW/vA2fPnlXTpk3VqlUr/fLLL1q2bJm+++47zZo1S/3799fmzZtdXWKyXb58WW+++aZee+01rV27Vn/88Ydmz56tOXPmqHXr1jp06JCrS0yxuXPnqkaNGhozZowcDocmTZqkd999V2PHjtWpU6dcXV6KbN68WRUrVlT37t31zTffqGbNmho9erQiIiLSXFi7cOGCWrdurdatW+v777/XpEmT1LVrV127ds3Vpd2T9PQ+IF1/n65bt65atmypBQsWaNasWXrttdcUFRX18IsxSBf++OMPU7x4cbN//35rWuPGjU3Pnj3N66+/bqZOnWr++usvF1aYMtu3bzeFCxc2GzdutKa1atXKtGjRwrz00kvm3XffNXv37nVhhfduwIABpkaNGk7TJkyYYHLkyGH69OljIiIiXFRZyp05c8a89NJLpnbt2ua1114z2bJlM8uXLzfGGBMfH+/i6lLmn3/+MaVLlza9e/e2pv3222+mePHiZtWqVS6s7N6cP3/eNGzY0DRo0MC8/fbbxs3NzcyaNcsYY0xCQoKLq0u5iIgIU65cOdOrVy9r2pEjR0zJkiXNzJkzjTFpq6/09D5gjDF79+41ZcuWNQcPHjTGGBMXF2cOHz5sihYtary9vc1LL71kYmNjXVxl8ly9etU888wz5rvvvnOavm/fPuPv72/q1atn4uLiXFTdvXnjjTfMm2++aRISEkyFChXMc889Z6pVq2ayZs1qqlatalavXu3qEpMlIiLC5MiRw/Ts2dOatmvXLlOkSBEzbtw4Y0zaeh84fvy4KVmypNPfmFatWpmQkBBTvnx507JlS7NmzRoXVpgy6el9ID4+3nTo0ME0adLEREdHW9ObNm1q/vOf/5gGDRqYPn36mL///vuh1JO2vpLEbZ0/f16nT5/WoUOHFB0drVGjRmnOnDmKjo7W2bNnNWnSJI0aNUpXrlxxdanJcvXqVcXFxWndunX6999/NWLECH3zzTfKly+f/P39tWbNGvXs2VP//vuvq0tNsatXr1r/j4uLkyS9/fbbeu+99/TJJ59o7ty5kpQmtlKdPHlSvr6+6tKli4YMGaJ69eqpYcOGWr58eZrb0rZ582b5+fmpTZs21laoypUrKyEhQbt27XJxdSl39uxZPfbYY2rZsqXef/999e7dW02aNNGsWbPS5Ja2PXv2yOFwqGnTpta0/PnzK2vWrNq/f7+ktHViovT0PiBdP65w+/bt2rlzpyRZx4Dmz59fs2bN0ooVKzRx4kQXV5k88fHxOnXqlPbt22dNi42NVaFChbR8+XItW7ZMI0aMcGGFyWf+72Q2mTNn1rVr1/Tbb78pa9asWrJkiZYvX67Dhw/rzJkzeu+991xdarLExsZq9uzZGjVqlDWtWLFiKlq0qGbMmCFJaer9zd3dXQcPHtRPP/2kw4cPa8iQIfr2228VGhqq1q1ba+3aterfv79rtujcg/T0PuDm5qZBgwbpjTfesHZT/+CDDzRz5kzlz59fJUuW1JQpU9ShQ4eHU9BDiYV4IE6cOGF27dpl3a5SpYrJnTu3qV69uvH09DQ///yzNe+DDz4wjz/+uDl27JgrSk2WqKgop28xWrZsaQoUKGCqV69uMmXKZObPn2/NmzFjhnnsscfM5s2bXVHqfZkwYYLJmjWr+eeff4wxxqnnIUOGmCxZsqSpraE7duyw/r9v3z7TsmVLky1bNrNs2TJjzPVvO+Pi4kxMTIyrSkyWXbt2ma+//tq6nfgtYLly5cyECRNuGZ8WtiDeuMX94sWLpk+fPsbNzc18++231vS4uDhz4cIFV5SXIufPn7e2EBpjrNdTnTp1zMCBA11VVopcvnzZ+n96ex84d+6cadasmalUqZIZPXq0+fHHH0327NlN+/btjTHGdOzY0bRu3drFVSbfmDFjTJ48ecyCBQusaYmvueHDh5ty5cqZs2fPppmtOatXrzYZM2Y0zz77rGnevLn1vmzM9fc+Dw8Ps27dOhdXmXKJPezYscPkypXLfPbZZy6uKOW++uor4+HhYWrVqmUyZcrk9D73zz//GIfDYebOneu6AlMgPbwPnD59Osnf6/3795tXXnnF6bP1+vXrjcPheChbQQlsadTff/9tcuTIYerXr+/0Qvn999/Njz/+aMqUKWP+/fdf60PnmjVrTIECBcy+fftcVfId7dixw9SuXdusXLnS6UPNzp07ze+//26KFClijh49ak3fvXu3KViwoFm/fr0ryk2Rs2fPmtOnT1u3o6KiTJUqVUz58uXNv//+a4y5vguOMcacPHnS5M2b18yZM8cltSbHzf3cbP/+/VZo++WXX4wxxvTs2dPMmDHDdh9uzp49a06dOmWMcd6N5sYwFhYWZkaPHm3dHjlypNNr0U4OHDhg5syZY65du5bk/EuXLlmhLXF3rx49epgPPvjAlrupJPZzc9i/8fkJDw833bp1s25/8MEHttyFde/eveb111+3vjS7fPlymn4f+Pfff82ePXuc/v4sX77cdOzY0fj7+5tixYqZd955x5rXunVr8+KLL7qi1Lv6+++/zdKlS8306dOt34OdO3eaxo0bm0qVKpklS5Y4jZ88ebIpWrSoiYqKckW5d5VUP5cuXTK9e/c2Pj4+pn79+k7jd+7caUqVKmXtxmY3if1MmzbN6ufmL8zOnj1rwsLCTOPGjY0x9t0tMqnnxpjrhxccOXLEPPvss+b48ePGmOtf4hw+fPiWXSbt5MbnJjE8r1ixIk2+Dxhz/bNo4cKFzcSJE5P8UvbMmTNOt3/55RdTokSJh/LlGoEtjfr111+Nu7u7qVatmmnevLn5888/rXkLFiwwRYsWdRrfs2dPU7ZsWXPu3LmHXepd7dy50/j5+Zk333wzyRf9pk2bTPHixZ22Dvbt29eUKFHijsHBDg4dOmSeeOIJM3DgQOubdGOMWbhwoalQoYKpXr26OXv2rDX93LlzpkiRIk7f6trJ7fq5WWJoy5Url3nppZeMw+Ew27Zte4iV3t2NvdxpH/TQ0FDz4YcfGmOMGThwoC17McaYbdu2mZw5c5q2bdve8tzc+OElMbR5enqaqlWrGofDYbZu3fqwy72rG/u50/PTqFEj07VrV2PM/39+7NbP1q1bjbe3t3E4HGbatGnGmOvPyaJFi0xISEiaex/Yvn27ee6550zhwoVNrly5nD6AXbt2zZw+fdrpvTw2Nta89tprpl+/fq4o9462b99uChUqZJ555hmTOXNmU7p0aeuD9PLly03dunXNs88+a22VjomJMb179zaVK1c2kZGRriw9STf38/TTTzuF0DZt2hiHw2H69+9vTp8+bS5cuGCGDh1qihcvbn15ZSdJ9XO7vTXmzZtnHA6HbcPN3Xo5efKkCQwMNP/73/+MMddD6dChQ02hQoXu+PfWVW7up1SpUlZoi46OTlPvA8YYs2fPHpMtWzbTvXv32+6NdnOI69u3r6lWrdpD+WxNYEujzp49a+rWrWs+++wz88wzz5imTZuanTt3GmOu7zpUtGhRU7FiRTNw4EDTpk0bkyNHDtt9iDHm+rfMNWrUsDaXG3P9l2bLli3WL0xCQoIpVKiQKVq0qGndurV5/fXXTY4cOcyWLVtcVHXyTZ482TgcDvP000+b9957z3rTjYuLM99995157rnnTHBwsFmyZIlZsWKFGTBggAkMDLTtrqs393Py5ElrXkJCgtM3hrt27TJ58+Y12bNnt+Vr7269JO6iFhISYiZPnmzGjx9vPD09zaZNm1xV8m0dO3bMPP74404n5LjZjc/Nv//+a4oWLWqyZ89uy/CZnH4St0a9/PLLZvjw4WbChAm2fH4Sw1rv3r1Nz549TaVKlaz3gfj4ePP999+bkJCQNPM+sHfvXuPv72/69u1r1q5da5YsWWKeeOIJ06dPH2PMrVs2du/ebQYOHGiyZctmdu/e7YqSb2vPnj3G39/fDBgwwBw7dswcPnzY+Pv7O+1+v3btWvPWW28Zd3d3U6pUKVO+fHmTLVs2W/79uV0/Nwb/I0eOmGHDhhlPT0+TP39+U7JkSZM7d25bHl5wu34WLlzoNC4+Pt4kJCSYqKgoU6pUKdOxY0fb7TGQnF5iY2NNhw4djL+/v3nxxRdNnTp1TEBAQJp6rd34u3MjO78PGHP9NdSuXTvTqlUr6/aqVavM1KlTzb59+8z58+edxh8+fNj079/f+Pr6PrS/oQS2NCguLs6cPn3aFCpUyPz9999mzpw55tlnnzVt27Y15cqVM02aNDG7du0ylStXNiEhIebVV191OtbNTq5du2YqVqxoNm/ebOLi4kxYWJh59tlnTdasWU358uXN5MmTjTHXdyNs3LixqV27tmnTpo0tf+GTsm3bNtOiRQszfPhwExQUZIYNG2bt/mTM9S1Rr732msmZM6cpVKiQeeqpp2z3gfNGSfVz8xtZQkKCSUhIMF27djUZM2Z0OsbNTpLTizHG1K1b1/j5+ZnMmTPbdhfcBQsWmFq1ahljrm8B6N+/v6lXr5554403zJdffmmNi4uLM/Hx8aZbt27G4XCY7du3u6rkO0puP8YY06JFC+NwOEzWrFlt9/xs3LjR+Pj4WLsEffvtt8bX19f88ccf1piEhASzdetW07RpU9u/D1y6dMk0atTIdOjQwZoWHx9v3n77bVO3bt1bxl++fNm0bt3a5MuXz3YfOi9cuGBq1aplbZ1NFBYWZj7//HMzatQos2fPHmPM9a0Fa9asMcOGDTOTJ082Bw4ccEXJd3S3fkaPHm327NljbdHZt2+f+frrr828efNsuYv33foZO3as2b17t7ly5YrT/NGjRzsdu2sHd+tlzJgxZvfu3SYhIcH8/fff5rPPPjP169c3/fv3t+XZsJPbT+Jzc+nSJdu+DySKi4szFStWtP6+VK5c2ZQpU8b4+vqaJ5980mkPsK1bt5rWrVubAgUKPNR+CGxpUOI3mE2bNjWLFy82xhizaNEi4+/vb7JkyWKmT59ujb127ZrTwex2ExERYXLmzGmWLl1qunXrZsLCwsy2bdvMzz//bHr16mUCAwOdTpBgjLHdN2d3snXrVlOwYEGTkJBghgwZYvLmzWvGjRtnXn75ZacTJezZs8f8888/t+wfbTe366d+/fpO+6nv27fP1K5d25bf2iZKbi+NGzc2Xl5etg2exlw/SUX58uWNMdd34axSpYrp0qWLefHFF03p0qWddkH5+++/zVtvvWXbP5zGpKyfLl26GHd3d2sPA7u4fPmyyZw5s9PxdcYYU716dVOtWrUk38fs/j5w6dIl06ZNGzNlyhSn6bNmzTIlSpQw0dHRt+yuFhERYduTp0yePNnpGLxhw4YZd3d3U7VqVVO0aFGTM2dO8/3337uwwpS5Wz+5cuVyOqGF3d2tn4CAAKsfu38uSOlrza7H4CVKyXNjjL3fBxK98sorZvz48WbgwIGmRo0a5uDBgyY2NtaMGzfOVKhQwQwZMsQYc30PlVWrVj30PSAIbGlY8+bNTd++fY0xxrRp08Zky5bNFCtWzLRu3TrNXFMlISHBhIeHm06dOpmXXnrJCqDGXL8+yeuvv27eeustEx0dbb2B2f2N7GY1atQwR44cMcZcP2FF5syZja+vr1OvaeGMg4lu18/NB+ZfunTJBdWlTHJ6+f333225a9qNli1bZqpVq2a++OIL8+KLL1rHfF24cMEKPzduZU/cndCuktNPYoA+fPjwQ7sOTkolvraM+f9ns/v8889NoUKFrC1oibtzGWP/97b4+HinrTGJ9SYGthvdePIou0nqcV61apV58sknzfz5862TidStW9eULVv2YZeXYvRjXynppUyZMg+7vBS7l+fG7p9vEut76623TOnSpU3Tpk1vOdtoz549TZEiRVz6xQDXYUuDzP9dX6RatWry9PRUhw4d9NNPP2nTpk0aPny4Vq5cqa+//lrXrl1zcaV353A41KNHD02bNk2LFi1STEyMNS9PnjwKCAjQ7t27lTFjRusaS3a91lJ8fHyS02NiYrRq1SpJ0r59+5QhQwZ5e3tr+/btOnHihKTr1/uwm5T2s23bNqsfScqSJctDqTM57qWXf/75R5JUsWJFPf744w+t1uS4uZ88efJo7969Gjt2rIwxeuyxxyRJvr6+atWqlbZv365t27ZZ4728vB5qvXdzL/1s375dkhQcHGzNt4Mbe8mXL5/1/wwZMkiSwsPDdfXqVU2dOlXS9d99O7+3RUVF6dKlS4qMjJSbm5vVU0JCglXvzddc7NGjh8LDw2/7e+cqib1cunTplnlPPPGEli5dqjp16ljXXKpUqZIyZMig2NjYh11qstCPffu5l17c3d1t2Yt0f8+NHT/f3Py+JkljxoyRMUYzZ87UsWPHnMbXqFFDnp6eSfb/sNjvUcRdJf6RDA4O1tChQzV37lwtWLBAwcHBql+/vkaPHq3evXvb7kPZ7ZQtW1Y///yzJGnKlClOFylOvFhp4oVl7Wr//v0aN26cTp48aU1LfOMtV66c3Nzc1LlzZ/3888/aunWrOnfurMGDB+u7776z3YcaKX31c6+9zJo1y3a9SEn3U6RIEU2ZMkX79+/X9u3btXbtWmteQECAypcvr+zZs7ui3Lu6135y5MjhinLv6OZebg5g8fHxypIli/r27avFixdr06ZNrigz2Xbv3q1XXnlFlStXdrowsTHG6UNYpkyZrPfod955R5MmTVL//v2tkGoHd+pFkh577DE98cQTkq5fzFiS9u7dq6eeesqWQZp+7NtPeupFejT6iY+PV6ZMmfTZZ5/pqaee0rfffqslS5ZYFyxfsmSJ/Pz85Onp6brCXbVpD/cvJibG/Pe//7XOUGP33WnuZuXKlSYoKMg899xzpk2bNqZZs2bG19fX1scOGXP9WlHZs2c3DofD9OvX75bjT6ZOnWocDofJnTu32bBhgzX9ww8/tN3B0cakr37SUy/G3L2fb7/91ri5uZmwsDDz7bffmgMHDpi+ffuaoKAgWx4/kJ76uVsvN9q4caN57LHHzMSJEx9ihSmza9cukyNHDtOtWzczY8YM0717d5MxY8Ykj3388ccfTfny5c0777xjPDw8bHfClJT0Ysz1v60DBgww/v7+1olH7IR+7NtPeurFmEenn8Tj7ePj483OnTvN008/bR5//HFTqlQpU6dOHePn5+fys10T2NI4u+8bnFJ79+41AwYMMKGhoaZ9+/a2D2uJZ0Fr2bKlmThxonE4HKZXr15OH9b27dtnBgwYYL3B2fk5S0/9pKdejEleP8Zcv5BnSEiICQgIMEWKFDGFChWy5clf0lM/ye3lRi1atDCFCxc2MTExtvuy7ezZs6ZGjRqmc+fOTtOrVKli3n77bWOM8xeEs2bNMg6Hw2TLls1s3LjxodZ6Nynt5ZdffjENGjQwefLksd3rzBj6sXM/6akXY+hnypQpZtCgQeaDDz4w+/bte6i1JsXdddv2kBrsuG/w/ShcuLCGDRtmHQ9h9/7c3NxUpkwZ5ciRQ40bN5a/v7/Cw8MlSb1795a/v78KFSqkfv36KVOmTJLseZxKovTUT3rqRUpeP5JUvXp1lS5dWufOnVNUVJTy5MljzbOT9NRPcnuRru9G5HA41L59e7377rvKmDGjq8q+rdjYWF24cEENGzaUdP14NTc3NwUHB+vcuXOSnH9XypQpo4oVK2rixIkqUaKES2q+nZT0YoxRcHCwSpQooffee0+FCxd2Wd23Qz/27Sc99SI9uv3Ex8crQ4YMatu2rSvLvZUr0yKQHtx8NrTvvvvOOBwO07NnT3P69GljzPUtN4cPH3ZFeSmWnvpJT70Yc+d+Eq/vFxsb63R2QjtLT/0kp5f4+Hhz6NAhV5SXYjfuEpx4qv4BAwaYZs2aOY1LPBusnc8KmdxeEnuw85Z2Y+jHzv2kp16MeXT7iYyMtP5vlz0g2MIG3KfMmTNLun5CATc3NzVu3FjGGL322mtyOBzq2rWrRo8erWPHjunrr7+2tubYVXrqJz31IqWsn6+++kqZMmWy9VbD9NRPSl9r3t7etu1FkgoWLCjp+rfQiVsBjTE6ffq0NWbEiBHy8PBQ165drf7tKLm9eHp6qnPnztaJE+yKfuzbT3rqRaIfd3d327xP2/uRBdKQDBkyyBijhIQEhYeHy+FwqFmzZpo/f74OHTqkDRs22D4Q3Cg99ZOeepGS14+dP0DfLD31k95ea25ubtZunIm3JWnQoEEaPny4tmzZYquzQd5Jcnqx+wfOG9GPfaWnXiT6sQN7HyAEpDEOh0MOh0PGGDVu3FiVKlXSmTNntHnzZpUuXdrV5aVYeuonPfUi0Y+dpadepP9/+m53d3flzZtXo0eP1siRI7Vx40aVKlXKxdWlTHrqRaIfO0tPvUj042r2io9AOpB40GqvXr3066+/auvWrbY7ED8l0lM/6akXiX7sLD31kvjtc8aMGfX555/Lx8dHf/zxh5555hkXV5Zy6akXiX7sLD31ItGPq7GFDXhAnnrqKW3evFklS5Z0dSmpIj31k556kejHztJTL2FhYZKkNWvWqGzZsi6u5v6kp14k+rGz9NSLRD+u4jCJ2wQBpKob949OD9JTP+mpF4l+7Cw99SJJUVFRaeZ4wrtJT71I9GNn6akXiX5cgcAGAAAAADbFLpEAAAAAYFMENgAAAACwKQIbAAAAANgUgQ0AAAAAbIrABgAAAAA2RWADAAAAAJsisAEAYHPTp0+Xn5+fq8sAALgAgQ0AkGa1bNlSDodDDodDGTNmVEBAgF588UVNnTpVCQkJTmPXrFmjWrVqKVu2bPLy8lKJEiU0duxYxcfHO41zOByaN2/eQ+zCWf78+TVu3DinaY0bN9b+/ftTdT1Hjx6Vw+HQ1q1bnW4n/mTNmlVPPfWUOnbsqAMHDqTqugEAyUdgAwCkaTVr1tTJkyd19OhR/fzzz6pataq6dOmil156SXFxcZKkuXPnqnLlysqTJ49+/fVX7d27V126dNHw4cMVHh4uY4yLu7gzb29v5cqV66Gs65dfftHJkye1bds2vf/++9qzZ49KlSql5cuXP5T1AwCcEdgAAGmap6enAgMD9dhjj+mZZ57RO++8ox9//FE///yzpk+frqioKLVt21Z169bVlClTVLp0aeXPn19vvPGGvvzyS/3www/6/vvvk7WuhIQEDR06VHny5JGnp6dKly6txYsXO435+++/1aRJE2XPnl2ZM2dW2bJltW7dOknSoUOH9PLLLysgIEBZsmTRs88+q19++cW6b5UqVXTs2DF169bN2tIlJb1L5KRJk/Tkk0/Kw8NDhQsX1tdff+003+Fw6IsvvlD9+vWVKVMmFSxYUPPnz79rjzly5FBgYKCeeOIJvfzyy/rll19Urlw5tWnT5patkQCAB4/ABgBId6pVq6ZSpUppzpw5Wrp0qc6ePauePXveMq5OnToqVKiQvv3222Qtd/z48RozZoxGjx6t7du3KywsTHXr1rV2Gbx8+bIqV66sf/75R/Pnz9e2bdvUu3dva/fMy5cvq1atWlq+fLm2bNmimjVrqk6dOvrrr78kSXPmzFGePHk0dOhQnTx5UidPnkyyjrlz56pLly7q0aOHdu7cqTfffFOtWrXSr7/+6jRuyJAhatSokbZv365atWqpadOmOnfuXLIfR0lyc3NTly5ddOzYMW3atClF9wUA3D8CGwAgXSpSpIiOHj1qHftVtGjR245L7vFho0ePVp8+fRQeHq7ChQvrww8/VOnSpa1jzmbOnKkzZ85o3rx5qlixogoUKKBGjRopJCREklSqVCm9+eabKl68uAoWLKhhw4bpySeftLZ8Zc+eXRkyZFDWrFkVGBiowMDA29bRsmVLdejQQYUKFVL37t31yiuvaPTo0U7jWrZsqSZNmqhAgQJ6//33dfnyZa1fvz5Zvd78GEnXj3MDADxcBDYAQLpkjLF2KUy8fT8iIyN14sQJPf/8807Tn3/+ee3Zs0eStHXrVj399NPKnj17ksu4fPmyevbsqaJFi8rPz09ZsmTRnj17rC1sybVnz5471pGoZMmS1v8zZ84sHx8fnT59OkXrkv7/Y3fj4wkAeDgIbACAdGnPnj0KDg5WoUKFrNu3G5c45n55e3vfcX7Pnj01d+5cvf/++/r999+1detWlShRQjExMamy/ptlzJjR6bbD4bjl7JnJkfjYBQcHp0pdAIDkI7ABANKdFStWaMeOHWrQoIFq1Kih7Nmza8yYMbeMmz9/vg4cOKAmTZrcdZk+Pj4KCgrS6tWrnaavXr1axYoVk3R9i9bWrVtve5zY6tWr1bJlS9WvX18lSpRQYGDgLbsZenh43PXkHkWLFr1jHakpISFBEyZMUHBwsJ5++ulUXz4A4M7cXV0AAAD3Izo6WhEREYqPj9epU6e0ePFijRgxQi+99JKaN2+uDBky6LPPPlN4eLjatWunTp06ycfHR8uXL1evXr3UsGFDNWrUyGmZR44csa5PlqhgwYLq1auX3n33XT355JMqXbq0pk2bpq1bt2rGjBmSpCZNmuj9999XvXr1NGLECOXOnVtbtmxRUFCQQkJCVLBgQc2ZM0d16tSRw+HQwIEDb9nilT9/fq1atUrh4eHy9PSUv7//LT336tVLjRo10tNPP63Q0FAtWLBAc+bMcTrj5L06e/asIiIidOXKFe3cuVPjxo3T+vXrtWjRImXIkOG+lw8ASBkCGwAgTVu8eLFy584td3d3ZcuWTaVKldKECRPUokULubld35GkYcOG+vXXX/Xee++pUqVKunbtmgoWLKj+/fura9eutxyb1b1791vW8/vvv6tz5866ePGievToodOnT6tYsWKaP3++ChYsKOn61rGlS5eqR48eqlWrluLi4lSsWDFNnDhRkjR27Fi1bt1aFSpUkL+/v/r06aPIyEin9QwdOlRvvvmmnnzySUVHRyd57F29evU0fvx4jR49Wl26dFFwcLCmTZumKlWq3PfjGRoaKknKlCmT8uXLp6pVq2rKlCkqUKDAfS8bAJByDmP3q4UCAAAAwCOKY9gAAAAAwKYIbAAAAABgUwQ2AAAAALApAhsAAAAA2BSBDQAAAABsisAGAAAAADZFYAMAAAAAmyKwAQAAAIBNEdgAAAAAwKYIbAAAAABgUwQ2AAAAALApAhsAAAAA2NT/A04rE6mO5HNNAAAAAElFTkSuQmCC\n"
          },
          "metadata": {}
        }
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "A box plot, also known as a box-and-whisker plot, is a powerful visualization tool for displaying the distribution, variability, and outliers within a numerical dataset. It provides a concise summary of key statistical measures and offers several important uses:\n",
        "\n",
        "  - Data Distribution and Skewness: Box plots offer a visual representation of the distribution of numerical data, providing insights into its central tendency, spread, and skewness. The box represents the interquartile range (IQR), which contains the middle 50% of the data, with the median indicated by a horizontal line within the box. By observing the length and symmetry of the box, analysts can assess whether the data is skewed or symmetrically distributed.\n",
        "\n",
        "  - Outlier Detection: Box plots are highly effective in identifying outliers, which are data points that deviate significantly from the rest of the distribution. The whiskers of the plot extend to the minimum and maximum non-outlier values, with any data points beyond the whiskers considered as potential outliers. Outliers can indicate data errors, anomalies, or important observations requiring further investigation.\n",
        "\n",
        "  - Comparing Groups or Categories: Box plots are useful for comparing the distributions of numerical data across different groups or categories. By creating side-by-side or grouped box plots, analysts can easily compare the central tendencies, spreads, and shapes of distributions between different groups. This allows for the identification of differences, similarities, or patterns within the data.\n",
        "\n",
        "  - Variability and Spread: Box plots provide insights into the variability and spread of the data. The length of the box indicates the spread of the middle 50% of the data, while the whiskers show the range of non-outlier values. By comparing the lengths of the boxes and whiskers, analysts can assess the relative variability between different groups or categories, aiding in the understanding of the data's dispersion.\n",
        "\n",
        "  - Skewedness and Symmetry: Box plots offer a visual assessment of the skewness or symmetry of the data distribution. A symmetrical distribution is represented by a box plot with an equal length on both sides of the median, while a skewed distribution is indicated by a longer box on one side. This visual cue helps in understanding the shape and characteristics of the data, assisting in further analysis and modeling decisions.\n",
        "\n",
        "  - Data Range and Quartiles: Box plots display the quartiles of the data distribution. The lower quartile (Q1) represents the 25th percentile, the upper quartile (Q3) represents the 75th percentile, and the interquartile range (IQR) is the range between Q1 and Q3. These quartiles provide a summary of the range and spread of the central portion of the data, aiding in the understanding of the data's variability and dispersion.\n",
        "\n",
        "Your task is:\n",
        "\n",
        "  1. Use Seaborn's [boxplot](https://seaborn.pydata.org/generated/seaborn.boxplot.html) to discern the relationship between payment_type and total_amount. Does anything look weird? Can you explain what's going on?"
      ],
      "metadata": {
        "id": "Bbl-WZtctVbH"
      }
    },
    {
      "cell_type": "code",
      "execution_count": null,
      "metadata": {
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 497
        },
        "id": "fM_2IGKrk8Vy",
        "outputId": "6cd0f111-e3f0-48d5-aedb-346944fdfa6a"
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 640x480 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ],
      "source": [
        "# Create a box plot of total amount by payment type. Do you see anything odd?\n",
        "sns.boxplot(x='payment_type', y='total_amount', data=df)\n",
        "plt.suptitle('Total Amount by Payment Type')\n",
        "plt.show()"
      ]
    },
    {
      "cell_type": "markdown",
      "source": [
        "A histogram is a graphical representation that displays the distribution of a continuous or discrete numerical variable. It provides insights into the underlying data distribution and helps uncover patterns, frequencies, and ranges within the dataset. Here are some key uses and benefits of histogram plots:\n",
        "\n",
        "  - Data Distribution: Histograms allow analysts to visualize the shape, central tendency, and spread of the data. They provide an overview of the data distribution, helping to identify if it follows a particular pattern, such as a normal distribution, skewed distribution, bimodal distribution, or multimodal distribution. Understanding the data distribution aids in selecting appropriate analysis techniques and understanding the characteristics of the data.\n",
        "\n",
        "  - Frequency Analysis: Histograms display the frequency or count of data points within predefined bins or intervals along the x-axis. By observing the height or count of each bin, analysts can identify the frequency of occurrence for different values or value ranges. This information helps assess the concentration of data points and identify peaks or modes in the distribution.\n",
        "\n",
        "  - Outlier Detection: Histograms can assist in identifying outliers, which are data points that significantly deviate from the rest of the distribution. Outliers may indicate data errors, unusual observations, or important anomalies requiring further investigation. By examining the tails or extreme values in the histogram, analysts can identify potential outliers that may require additional scrutiny.\n",
        "\n",
        "  - Data Range and Spread: Histograms provide insights into the range and spread of the data. The x-axis represents the variable's values, while the y-axis represents the frequency or count of occurrences. By observing the width and span of the histogram, analysts can assess the data's range and variability. This information helps understand the data's spread and aids in subsequent analysis or decision-making processes.\n",
        "\n",
        "  - Feature Engineering: Histograms can guide feature engineering processes by informing appropriate transformations, binning strategies, or encoding techniques for numerical variables. They assist in identifying nonlinear relationships or determining optimal cut-off points for converting continuous variables into categorical ones. Histograms also help identify data skewness and guide transformation methods to address the skew if necessary.\n",
        "\n",
        "  - Data Quality Inspection: Histograms can be useful in detecting data quality issues or anomalies. Unusual spikes, gaps, or unexpected patterns in the histogram may indicate data entry errors, measurement inconsistencies, or missing data. By observing the histogram, analysts can identify potential data quality issues that require further investigation or preprocessing.\n",
        "\n",
        "Your task is:\n",
        "\n",
        "  1. Use Seaborn's [histplot](https://seaborn.pydata.org/generated/seaborn.histplot.html) to explore the data distributions for fare_amount, trip_distance, and extra. Use kernel density estimators to better visualize the distribution. Use sampling if you run into any memory issues."
      ],
      "metadata": {
        "id": "CnV0dIHquPtf"
      }
    },
    {
      "cell_type": "code",
      "source": [
        "# Explore data distributions for 'fare_amount', 'trip_distance' and 'extra' using Seaborn's histplot. Sample the data if you run into memory issues.\n",
        "for column in ['fare_amount', 'trip_distance', 'extra']:\n",
        "    plt.figure(figsize=(10, 6))\n",
        "    sns.histplot(data=df.sample(10000), x=column, kde=True)\n",
        "    plt.suptitle(f\"Distribution of {column}\")\n",
        "    plt.show()"
      ],
      "metadata": {
        "id": "8HI3uXHCyI_B",
        "colab": {
          "base_uri": "https://localhost:8080/",
          "height": 1000
        },
        "outputId": "fc5fd142-a2c7-4248-e8c5-b146a97de77c"
      },
      "execution_count": null,
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        },
        {
          "output_type": "display_data",
          "data": {
            "text/plain": [
              "<Figure size 1000x600 with 1 Axes>"
            ],
            "image/png": 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\n"
          },
          "metadata": {}
        }
      ]
    }
  ]
}