jupyter-labs-eda-dataviz.ipynb.jupyterlite.ipynb

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  "cells": [
    {
      "cell_type": "markdown",
      "source": "<p style=\"text-align:center\">\n    <a href=\"https://skills.network/?utm_medium=Exinfluencer&utm_source=Exinfluencer&utm_content=000026UJ&utm_term=10006555&utm_id=NA-SkillsNetwork-Channel-SkillsNetworkCoursesIBMDS0321ENSkillsNetwork26802033-2022-01-01\" target=\"_blank\">\n    <img src=\"https://cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud/assets/logos/SN_web_lightmode.png\" width=\"200\" alt=\"Skills Network Logo\"  />\n    </a>\n</p>\n",
      "metadata": {}
    },
    {
      "cell_type": "markdown",
      "source": "# **SpaceX  Falcon 9 First Stage Landing Prediction**\n",
      "metadata": {}
    },
    {
      "cell_type": "markdown",
      "source": "## Assignment: Exploring and Preparing Data\n",
      "metadata": {}
    },
    {
      "cell_type": "markdown",
      "source": "Estimated time needed: **70** minutes\n",
      "metadata": {}
    },
    {
      "cell_type": "markdown",
      "source": "In this assignment, we will predict if the Falcon 9 first stage will land successfully. SpaceX advertises Falcon 9 rocket launches on its website with a cost of 62 million dollars; other providers cost upward of 165 million dollars each, much of the savings is due to the fact that SpaceX can reuse the first stage.\n\nIn this lab, you will perform Exploratory Data Analysis and Feature Engineering.\n",
      "metadata": {}
    },
    {
      "cell_type": "markdown",
      "source": "Falcon 9 first stage will land successfully\n",
      "metadata": {}
    },
    {
      "cell_type": "markdown",
      "source": "![](https://cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud/IBMDeveloperSkillsNetwork-DS0701EN-SkillsNetwork/api/Images/landing_1.gif)\n",
      "metadata": {}
    },
    {
      "cell_type": "markdown",
      "source": "Several examples of an unsuccessful landing are shown here:\n",
      "metadata": {}
    },
    {
      "cell_type": "markdown",
      "source": "![](https://cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud/IBMDeveloperSkillsNetwork-DS0701EN-SkillsNetwork/api/Images/crash.gif)\n",
      "metadata": {}
    },
    {
      "cell_type": "markdown",
      "source": "Most unsuccessful landings are planned. Space X performs a controlled landing in the oceans.\n",
      "metadata": {}
    },
    {
      "cell_type": "markdown",
      "source": "## Objectives\n\nPerform exploratory Data Analysis and Feature Engineering using `Pandas` and `Matplotlib`\n\n*   Exploratory Data Analysis\n*   Preparing Data  Feature Engineering\n",
      "metadata": {}
    },
    {
      "cell_type": "markdown",
      "source": "### Import Libraries and Define Auxiliary Functions\n",
      "metadata": {}
    },
    {
      "cell_type": "markdown",
      "source": "We will import the following libraries the lab\n",
      "metadata": {}
    },
    {
      "cell_type": "code",
      "source": "import piplite\nawait piplite.install(['numpy'])\nawait piplite.install(['pandas'])\nawait piplite.install(['seaborn'])",
      "metadata": {
        "trusted": true
      },
      "outputs": [],
      "execution_count": 1
    },
    {
      "cell_type": "code",
      "source": "# pandas is a software library written for the Python programming language for data manipulation and analysis.\nimport pandas as pd\n#NumPy is a library for the Python programming language, adding support for large, multi-dimensional arrays and matrices, along with a large collection of high-level mathematical functions to operate on these arrays\nimport numpy as np\n# Matplotlib is a plotting library for python and pyplot gives us a MatLab like plotting framework. We will use this in our plotter function to plot data.\nimport matplotlib.pyplot as plt\n#Seaborn is a Python data visualization library based on matplotlib. It provides a high-level interface for drawing attractive and informative statistical graphics\nimport seaborn as sns",
      "metadata": {
        "trusted": true
      },
      "outputs": [],
      "execution_count": 2
    },
    {
      "cell_type": "markdown",
      "source": "First, let's read the SpaceX dataset into a Pandas dataframe and print its summary\n",
      "metadata": {}
    },
    {
      "cell_type": "code",
      "source": "from js import fetch\nimport io\n\nURL = \"https://cf-courses-data.s3.us.cloud-object-storage.appdomain.cloud/IBM-DS0321EN-SkillsNetwork/datasets/dataset_part_2.csv\"\nresp = await fetch(URL)\ndataset_part_2_csv = io.BytesIO((await resp.arrayBuffer()).to_py())\ndf=pd.read_csv(dataset_part_2_csv)\ndf.head(5)",
      "metadata": {
        "trusted": true
      },
      "outputs": [
        {
          "execution_count": 3,
          "output_type": "execute_result",
          "data": {
            "text/plain": "   FlightNumber        Date BoosterVersion  PayloadMass Orbit    LaunchSite  \\\n0             1  2010-06-04       Falcon 9  6104.959412   LEO  CCAFS SLC 40   \n1             2  2012-05-22       Falcon 9   525.000000   LEO  CCAFS SLC 40   \n2             3  2013-03-01       Falcon 9   677.000000   ISS  CCAFS SLC 40   \n3             4  2013-09-29       Falcon 9   500.000000    PO   VAFB SLC 4E   \n4             5  2013-12-03       Falcon 9  3170.000000   GTO  CCAFS SLC 40   \n\n       Outcome  Flights  GridFins  Reused   Legs LandingPad  Block  \\\n0    None None        1     False   False  False        NaN    1.0   \n1    None None        1     False   False  False        NaN    1.0   \n2    None None        1     False   False  False        NaN    1.0   \n3  False Ocean        1     False   False  False        NaN    1.0   \n4    None None        1     False   False  False        NaN    1.0   \n\n   ReusedCount Serial   Longitude   Latitude  Class  \n0            0  B0003  -80.577366  28.561857      0  \n1            0  B0005  -80.577366  28.561857      0  \n2            0  B0007  -80.577366  28.561857      0  \n3            0  B1003 -120.610829  34.632093      0  \n4            0  B1004  -80.577366  28.561857      0  ",
            "text/html": "<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>FlightNumber</th>\n      <th>Date</th>\n      <th>BoosterVersion</th>\n      <th>PayloadMass</th>\n      <th>Orbit</th>\n      <th>LaunchSite</th>\n      <th>Outcome</th>\n      <th>Flights</th>\n      <th>GridFins</th>\n      <th>Reused</th>\n      <th>Legs</th>\n      <th>LandingPad</th>\n      <th>Block</th>\n      <th>ReusedCount</th>\n      <th>Serial</th>\n      <th>Longitude</th>\n      <th>Latitude</th>\n      <th>Class</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1</td>\n      <td>2010-06-04</td>\n      <td>Falcon 9</td>\n      <td>6104.959412</td>\n      <td>LEO</td>\n      <td>CCAFS SLC 40</td>\n      <td>None None</td>\n      <td>1</td>\n      <td>False</td>\n      <td>False</td>\n      <td>False</td>\n      <td>NaN</td>\n      <td>1.0</td>\n      <td>0</td>\n      <td>B0003</td>\n      <td>-80.577366</td>\n      <td>28.561857</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2</td>\n      <td>2012-05-22</td>\n      <td>Falcon 9</td>\n      <td>525.000000</td>\n      <td>LEO</td>\n      <td>CCAFS SLC 40</td>\n      <td>None None</td>\n      <td>1</td>\n      <td>False</td>\n      <td>False</td>\n      <td>False</td>\n      <td>NaN</td>\n      <td>1.0</td>\n      <td>0</td>\n      <td>B0005</td>\n      <td>-80.577366</td>\n      <td>28.561857</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>3</td>\n      <td>2013-03-01</td>\n      <td>Falcon 9</td>\n      <td>677.000000</td>\n      <td>ISS</td>\n      <td>CCAFS SLC 40</td>\n      <td>None None</td>\n      <td>1</td>\n      <td>False</td>\n      <td>False</td>\n      <td>False</td>\n      <td>NaN</td>\n      <td>1.0</td>\n      <td>0</td>\n      <td>B0007</td>\n      <td>-80.577366</td>\n      <td>28.561857</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>4</td>\n      <td>2013-09-29</td>\n      <td>Falcon 9</td>\n      <td>500.000000</td>\n      <td>PO</td>\n      <td>VAFB SLC 4E</td>\n      <td>False Ocean</td>\n      <td>1</td>\n      <td>False</td>\n      <td>False</td>\n      <td>False</td>\n      <td>NaN</td>\n      <td>1.0</td>\n      <td>0</td>\n      <td>B1003</td>\n      <td>-120.610829</td>\n      <td>34.632093</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>5</td>\n      <td>2013-12-03</td>\n      <td>Falcon 9</td>\n      <td>3170.000000</td>\n      <td>GTO</td>\n      <td>CCAFS SLC 40</td>\n      <td>None None</td>\n      <td>1</td>\n      <td>False</td>\n      <td>False</td>\n      <td>False</td>\n      <td>NaN</td>\n      <td>1.0</td>\n      <td>0</td>\n      <td>B1004</td>\n      <td>-80.577366</td>\n      <td>28.561857</td>\n      <td>0</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
          },
          "metadata": {}
        }
      ],
      "execution_count": 3
    },
    {
      "cell_type": "markdown",
      "source": "First, let's try to see how the `FlightNumber` (indicating the continuous launch attempts.) and `Payload` variables would affect the launch outcome.\n\nWe can plot out the <code>FlightNumber</code> vs. <code>PayloadMass</code>and overlay the outcome of the launch. We see that as the flight number increases, the first stage is more likely to land successfully. The payload mass is also important; it seems the more massive the payload, the less likely the first stage will return.\n",
      "metadata": {}
    },
    {
      "cell_type": "code",
      "source": "## Exploratory Data Analysis\n",
      "metadata": {},
      "outputs": [],
      "execution_count": null
    },
    {
      "cell_type": "code",
      "source": "sns.catplot(y=\"PayloadMass\", x=\"FlightNumber\", hue=\"Class\", data=df, aspect = 5)\nplt.xlabel(\"Flight Number\",fontsize=20)\nplt.ylabel(\"Pay load Mass (kg)\",fontsize=20)\nplt.show()",
      "metadata": {
        "trusted": true
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
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          },
          "metadata": {}
        }
      ],
      "execution_count": 4
    },
    {
      "cell_type": "markdown",
      "source": "We see that different launch sites have different success rates.  <code>CCAFS LC-40</code>, has a success rate of 60 %, while  <code>KSC LC-39A</code> and <code>VAFB SLC 4E</code> has a success rate of 77%.\n",
      "metadata": {}
    },
    {
      "cell_type": "markdown",
      "source": "Next, let's drill down to each site visualize its detailed launch records.\n",
      "metadata": {}
    },
    {
      "cell_type": "code",
      "source": "### TASK 1: Visualize the relationship between Flight Number and Launch Site\nsns.catplot(data=df, x=\"FlightNumber\", y=\"LaunchSite\", hue=\"Class\")\nplt.xlabel(\"Flight Number\")\nplt.ylabel(\"Launch Site\")\nplt.title(\"The relationship between Flight Number and Launch Site\")\nplt.show()",
      "metadata": {
        "trusted": true
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": "<Figure size 558.875x500 with 1 Axes>",
            "image/png": 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"
          },
          "metadata": {}
        }
      ],
      "execution_count": 8
    },
    {
      "cell_type": "markdown",
      "source": "Use the function <code>catplot</code> to plot <code>FlightNumber</code> vs <code>LaunchSite</code>, set the  parameter <code>x</code>  parameter to <code>FlightNumber</code>,set the  <code>y</code> to <code>Launch Site</code> and set the parameter <code>hue</code> to <code>'class'</code>\n",
      "metadata": {}
    },
    {
      "cell_type": "code",
      "source": "# Plot a scatter point chart with x axis to be Flight Number and y axis to be the launch site, and hue to be the class value\nsns.scatterplot(data=df, x=\"FlightNumber\", y=\"LaunchSite\", hue=\"Class\")\nplt.xlabel(\"Flight Number\")\nplt.ylabel(\"Launch Site\")\nplt.title(\"The relationship between Flight Number and Launch Site\")\nplt.show()",
      "metadata": {
        "trusted": true
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": "<Figure size 640x480 with 1 Axes>",
            "image/png": 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"
          },
          "metadata": {}
        }
      ],
      "execution_count": 10
    },
    {
      "cell_type": "markdown",
      "source": "Now try to explain the patterns you found in the Flight Number vs. Launch Site scatter point plots.\n",
      "metadata": {}
    },
    {
      "cell_type": "code",
      "source": "### TASK 2: Visualize the relationship between Payload and Launch Site\nsns.catplot(data=df, x=\"PayloadMass\", y=\"LaunchSite\", hue=\"Class\")\nplt.xlabel(\"Payload Mass\")\nplt.ylabel(\"Launch Site\")\nplt.title(\"The relationship between Payload Mass and Launch Site\")\nplt.show()",
      "metadata": {
        "trusted": true
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": "<Figure size 558.875x500 with 1 Axes>",
            "image/png": 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"
          },
          "metadata": {}
        }
      ],
      "execution_count": 12
    },
    {
      "cell_type": "markdown",
      "source": "We also want to observe if there is any relationship between launch sites and their payload mass.\n",
      "metadata": {}
    },
    {
      "cell_type": "code",
      "source": "# Plot a scatter point chart with x axis to be Pay Load Mass (kg) and y axis to be the launch site, and hue to be the class value\nsns.scatterplot(data=df, x=\"PayloadMass\", y=\"LaunchSite\", hue=\"Class\")\nplt.xlabel(\"Payload Mass\")\nplt.ylabel(\"Launch Site\")\nplt.title(\"The relationship between Payload Mass and Launch Site\")\nplt.show()",
      "metadata": {
        "trusted": true
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": "<Figure size 640x480 with 1 Axes>",
            "image/png": 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"
          },
          "metadata": {}
        }
      ],
      "execution_count": 13
    },
    {
      "cell_type": "markdown",
      "source": "Now if you observe Payload Vs. Launch Site scatter point chart you will find for the VAFB-SLC  launchsite there are no  rockets  launched for  heavypayload mass(greater than 10000).\n",
      "metadata": {}
    },
    {
      "cell_type": "code",
      "source": "df.head(1)",
      "metadata": {
        "trusted": true
      },
      "outputs": [
        {
          "execution_count": 14,
          "output_type": "execute_result",
          "data": {
            "text/plain": "   FlightNumber        Date BoosterVersion  PayloadMass Orbit    LaunchSite  \\\n0             1  2010-06-04       Falcon 9  6104.959412   LEO  CCAFS SLC 40   \n\n     Outcome  Flights  GridFins  Reused   Legs LandingPad  Block  ReusedCount  \\\n0  None None        1     False   False  False        NaN    1.0            0   \n\n  Serial  Longitude   Latitude  Class  \n0  B0003 -80.577366  28.561857      0  ",
            "text/html": "<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>FlightNumber</th>\n      <th>Date</th>\n      <th>BoosterVersion</th>\n      <th>PayloadMass</th>\n      <th>Orbit</th>\n      <th>LaunchSite</th>\n      <th>Outcome</th>\n      <th>Flights</th>\n      <th>GridFins</th>\n      <th>Reused</th>\n      <th>Legs</th>\n      <th>LandingPad</th>\n      <th>Block</th>\n      <th>ReusedCount</th>\n      <th>Serial</th>\n      <th>Longitude</th>\n      <th>Latitude</th>\n      <th>Class</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1</td>\n      <td>2010-06-04</td>\n      <td>Falcon 9</td>\n      <td>6104.959412</td>\n      <td>LEO</td>\n      <td>CCAFS SLC 40</td>\n      <td>None None</td>\n      <td>1</td>\n      <td>False</td>\n      <td>False</td>\n      <td>False</td>\n      <td>NaN</td>\n      <td>1.0</td>\n      <td>0</td>\n      <td>B0003</td>\n      <td>-80.577366</td>\n      <td>28.561857</td>\n      <td>0</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
          },
          "metadata": {}
        }
      ],
      "execution_count": 14
    },
    {
      "cell_type": "code",
      "source": "### TASK  3: Visualize the relationship between success rate of each orbit type\norbit_success_data = df.groupby('Orbit')['Class'].mean().to_frame()\nsns.barplot(data=orbit_success_data, x=\"Orbit\", y=\"Class\")\nplt.xlabel(\"Orbit\")\nplt.ylabel(\"Success Rate\")\nplt.title(\"The relationship between success rate of each orbit type\")\nplt.show()",
      "metadata": {
        "trusted": true
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": "<Figure size 640x480 with 1 Axes>",
            "image/png": 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"
          },
          "metadata": {}
        }
      ],
      "execution_count": 29
    },
    {
      "cell_type": "markdown",
      "source": "Next, we want to visually check if there are any relationship between success rate and orbit type.\n",
      "metadata": {}
    },
    {
      "cell_type": "markdown",
      "source": "Let's create a `bar chart` for the sucess rate of each orbit\n",
      "metadata": {}
    },
    {
      "cell_type": "code",
      "source": "# HINT use groupby method on Orbit column and get the mean of Class column",
      "metadata": {},
      "outputs": [],
      "execution_count": null
    },
    {
      "cell_type": "markdown",
      "source": "Analyze the ploted bar chart try to find which orbits have high sucess rate.\n",
      "metadata": {}
    },
    {
      "cell_type": "code",
      "source": "### TASK  4: Visualize the relationship between FlightNumber and Orbit type\nsns.catplot(data=df, x=\"FlightNumber\", y=\"Orbit\", hue=\"Class\")\nplt.xlabel(\"Flight Number\")\nplt.ylabel(\"Orbit\")\nplt.title(\"The relationship between Flight Number and Orbit type\")\nplt.show()",
      "metadata": {
        "trusted": true
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": "<Figure size 558.875x500 with 1 Axes>",
            "image/png": 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"
          },
          "metadata": {}
        }
      ],
      "execution_count": 30
    },
    {
      "cell_type": "markdown",
      "source": "For each orbit, we want to see if there is any relationship between FlightNumber and Orbit type.\n",
      "metadata": {}
    },
    {
      "cell_type": "code",
      "source": "# Plot a scatter point chart with x axis to be FlightNumber and y axis to be the Orbit, and hue to be the class value\nsns.scatterplot(data=df, x=\"FlightNumber\", y=\"Orbit\", hue=\"Class\")\nplt.xlabel(\"Flight Number\")\nplt.ylabel(\"Orbit\")\nplt.title(\"The relationship between Flight Number and Orbit type\")\nplt.show()",
      "metadata": {
        "trusted": true
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": "<Figure size 640x480 with 1 Axes>",
            "image/png": 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"
          },
          "metadata": {}
        }
      ],
      "execution_count": 31
    },
    {
      "cell_type": "markdown",
      "source": "You should see that in the LEO orbit the Success appears related to the number of flights; on the other hand, there seems to be no relationship between flight number when in GTO orbit.\n",
      "metadata": {}
    },
    {
      "cell_type": "code",
      "source": "### TASK  5: Visualize the relationship between Payload and Orbit type\nsns.catplot(data=df, x=\"PayloadMass\", y=\"Orbit\", hue=\"Class\")\nplt.xlabel(\"Payload Mass\")\nplt.ylabel(\"Orbit\")\nplt.title(\"The relationship between Payload Mass and Orbit type\")\nplt.show()",
      "metadata": {
        "trusted": true
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": "<Figure size 558.875x500 with 1 Axes>",
            "image/png": 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"
          },
          "metadata": {}
        }
      ],
      "execution_count": 32
    },
    {
      "cell_type": "markdown",
      "source": "Similarly, we can plot the Payload vs. Orbit scatter point charts to reveal the relationship between Payload and Orbit type\n",
      "metadata": {}
    },
    {
      "cell_type": "code",
      "source": "# Plot a scatter point chart with x axis to be Payload and y axis to be the Orbit, and hue to be the class value\nsns.scatterplot(data=df, x=\"PayloadMass\", y=\"Orbit\", hue=\"Class\")\nplt.xlabel(\"Payload Mass\")\nplt.ylabel(\"Orbit\")\nplt.title(\"The relationship between Payload Mass and Orbit type\")\nplt.show()",
      "metadata": {
        "trusted": true
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": "<Figure size 640x480 with 1 Axes>",
            "image/png": 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u7s7jjz9OUlISf/zxh7X8wljOnj1LQkICrVq1sh673O0BPP744zb7ufjGjfyoW7cu9evXt56J/Oabb+jevbvd5SpH8eV1rAICAgBYtGiR3aX0XFfyfrtUDAkJCZw+fZrWrVuzb98+m8uIAHXq1LG+RgHCwsKoWbOmzWtn4cKFNGvWzObselhYmN1lN0fOnz8PgJ+f3yXb+fn5WT9rLvToo486bO/m5sbgwYOtjz08PBg8eDAnT55k48aNl43LWb169cLT05MZM2ZYyxYtWsTp06cdjuu9+IzgY489Bvz3Wv3hhx/IycmhV69eNu/5iIgIatSoka/PpZJEyVQpV7lyZZvHuYMZc8fM7N69G7AkQ2FhYTbL559/Tnp6ut2HjSMXn652drvbtm3jzjvvJCAgAH9/f8LCwqxvyPzEc7GDBw8CULNmTbu62rVrWxO9C13u2PXu3ZuWLVvy4IMPUq5cOfr06cOsWbMcftBfbluXUqNGDbuymJiYfM9lc/H6vr6+lC9f3rp+7nN166232j1Xixcv5uTJk5fdR7ly5ahRo4Y1cVq5ciWtWrXi5ptv5tixY+zbt49Vq1aRk5Nj/aI6deoU586dY8qUKXb7HThwIIB137t372bbtm127WJiYmza5br4eIPlmOfneIMlAf3tt99YsmQJGzdu5OTJkzz99NPW+vy+Pnv37o3ZbLZ+wSQkJLBgwQLrNAJ5OXjwIDVq1LC7iSP38mju6xlgwYIFNGvWDE9PT4KDgwkLC2PSpEk2cRw8eBAXFxebBBMcvx/y45577mH27Nns2bOH1atXc8899+TZNj/HKjo6mpEjR/L5558TGhpK+/btmThxot2xzO/77WKrVq2iXbt21rGSYWFh1rFWF3+e5Oe1k/v8XCw/xzM3icpNqvJy/vx5u4TLzc2NSpUqOWxfoUIFu8Houe+Popj3KjAwkK5du9qMp5sxYwYVK1a0/tNzoYuPX7Vq1XBxcbH5XDIMgxo1ati973fs2JGvz6WSRGOmSjlXV1eH5YZhAFg/iMaPH5/nLd/5mTfm4rECzmz33LlztG7dGn9/f8aMGUO1atXw9PRk06ZNPPPMM0U2fcDljp2XlxcrVqxg2bJl/Pzzz/z6669899133HrrrSxevNhm/cttqzjlHs+vvvqKiIgIu3o3t/x9DNx0000sWbKE1NRUNm7cyEsvvcR1111HYGAgK1euZMeOHfj6+tKwYUOb/d57773079/f4TZzx1rl5ORQr1493n33XYftIiMjbR47e7xr1KhBu3btHNZdyeszKCiILl26MGPGDF566SW+//570tPTHf6nfjVWrlxJt27duPnmm/nkk08oX7487u7uTJ061W6QeEHq27cvo0eP5qGHHiIkJITbb7/dYbsrOVbvvPMOAwYM4Mcff2Tx4sU8/vjj1vE0lSpVuqL324X27t1L27ZtqVWrFu+++y6RkZF4eHiwcOFC3nvvPbvPk8J+r1avXh03NzebGzMulp6ezs6dO2ncuLFNudlsLta7pC/n/vvvZ/bs2axevZp69eoxf/58hgwZkq+YL/7nIicnB5PJxC+//OLwOSlt85kpmSrjcv9T9ff3z/PLo6i3u3z5cuLj4/nhhx+4+eabreW5d1Jd6FL/3V8oKioKgJ07d9rV/fvvv4SGhl7RLca5XFxcaNu2LW3btuXdd9/ljTfe4Pnnn2fZsmUFdjxzzxxdaNeuXfmeLX337t20adPG+jgpKYnjx4/TqVMn4L/nKjw8/LIxX+p4t2rViqlTpzJz5kyys7Np0aIFLi4u3HTTTdZkqkWLFtYPxty7yrKzsy+732rVqrF582batm2b7+e8sFzJ6xMsXzDdu3fnr7/+YsaMGTRs2NA6kDkvUVFRbNmyhZycHJsvotzLYrmv5zlz5uDp6cmiRYswm83WdlOnTrXbXk5ODnv37rU5e+Lo/ZAflStXpmXLlixfvtx62diRKz1W9erVo169erzwwgusXr2ali1bMnnyZOtEoVfzfvvpp59IT09n/vz5NmednLlMFBUV5fB9mZ/j6ePjQ5s2bVi6dCkHDx60PpcXmjVrFunp6XTp0iXfMR07dsxuqoRdu3YBXPKz4krfT5dq36FDB8LCwpgxYwY33ngjKSkp3HfffQ7b7t692+aKxp49e8jJybHGWq1aNQzDIDo62nqGrTQruSmwFIhGjRpRrVo1JkyYQFJSkl29o9u6C3u7uV+2F/4nmJGRwSeffGLX1sfHJ1+X/cqXL8/111/P9OnTOXfunLX8n3/+YfHixdbE4kqcOXPGriz3LNzFt+s7Y968eRw9etT6eP369axbt46OHTvma/0pU6aQmZlpfTxp0iSysrKs67dv3x5/f3/eeOMNm3a5Lnyucj+oLzyGuXIv37311lvUr1/fOg6mVatWLFmyhA0bNtiMRXF1daVHjx7MmTPH4VQPF+63V69eHD16lM8++8yuXWpqqt0l2sJ0Ja9PgI4dOxIaGspbb73FH3/8ka+zUp06dSIuLo7vvvvOWpaVlcVHH32Er6+vdbyVq6srJpPJZpqBAwcO2N3dmPtcf/jhhzblzvx6wOuvv87LL79sHeviSH6PVWJiIllZWTZl9erVw8XFxfpeutr3m6MYEhIS7BLOK9GpUyfWrl3L+vXrrWWnTp2yGS90KS+88AKGYTBgwABSU1Nt6vbv38/TTz9N+fLlbcZAXU5WVpbNVAoZGRl8+umnhIWF0ahRozzXu9R7Oq/2ebV1c3Oz3kk4bdo06tWrZz27fLHcKRlyffTRR8B/r9W77roLV1dXXn31VbuzgoZhEB8fn694SwqdmSrjXFxc+Pzzz+nYsSN169Zl4MCBVKxYkaNHj7Js2TL8/f356aefinS7LVq0ICgoiP79+/P4449jMpn46quvHJ5mb9SoEd999x0jR46kSZMm+Pr60rVrV4fbHT9+PB07dqR58+Y88MAD1qkRAgICrmpG7zFjxrBixQo6d+5MVFQUJ0+e5JNPPqFSpUrcdNNNV7y9vFSvXp2bbrqJRx99lPT0dN5//31CQkJsxvBcSkZGBm3btqVXr17s3LmTTz75hJtuuolu3boBlrOHkyZN4r777uOGG26gT58+hIWFcejQIX7++WdatmzJxx9/DGD9UH788cdp3749rq6u9OnTxxpnREQEO3futPmCvfnmm3nmmWcAbJIpsEwZsWzZMm688UYeeugh6tSpw5kzZ9i0aRO///679Qv0vvvuY9asWTzyyCMsW7aMli1bkp2dzb///susWbNYtGiR3SWRwnIlr0+wDBzv06cPH3/8Ma6urjaDyvPy8MMP8+mnnzJgwAA2btxIlSpV+P7771m1ahXvv/++dSxN586deffdd+nQoQP33HMPJ0+eZOLEiVSvXt3mMtL1119P3759+eSTT0hISKBFixYsWbLE4Zxz+dW6detLDqKH/B+rpUuXMmzYMHr27ElMTAxZWVl89dVX1oQbrv79dvvtt+Ph4UHXrl0ZPHgwSUlJfPbZZ4SHh3P8+PGr6vvTTz/NV199RYcOHRg+fLh1aoTcM4qXc/PNNzNhwgRGjhxJ/fr1GTBgAOXLl+fff/+1/hLCwoULLzlh58UqVKjAW2+9xYEDB4iJieG7774jNjaWKVOmXHJC4Eu9p/NqP2nSJF5//XWqV69OeHi4zZio+++/nw8//JBly5ZZp5FxZP/+/XTr1o0OHTqwZs0a67QduZPBVqtWjddff53Ro0dz4MAB7rjjDvz8/Ni/fz9z587l4Ycf5qmnnsr38Sl2RXz3oFyB/EyNcPGtxo5ujTUMy63Jd911lxESEmKYzWYjKirK6NWrl7FkyZJLxpDXfq5ku46mRli1apXRrFkzw8vLy6hQoYLx9NNPG4sWLbK7pTwpKcm45557jMDAQAOwTi2QVz9///13o2XLloaXl5fh7+9vdO3a1Xo7f67cW3cvvgX74jiXLFlidO/e3ahQoYLh4eFhVKhQwejbt6+xa9euyx4fR/HlNTXC+PHjjXfeeceIjIw0zGaz0apVK+vtw5eSG+8ff/xhPPzww0ZQUJDh6+tr9OvXz2Z6iAtjbd++vREQEGB4enoa1apVMwYMGGBs2LDB2iYrK8t47LHHjLCwMMNkMtm9/nr27GkAxnfffWcty8jIMLy9vQ0PDw8jNTXVbr8nTpwwhg4dakRGRhru7u5GRESE0bZtW2PKlCk27TIyMoy33nrLqFu3rmE2m42goCCjUaNGxquvvmokJCRY2wHG0KFD7fYTFRVlc4u2Ixce80vJ7+sz1/r16w3AuP322x1u7+KpEQzDclwGDhxohIaGGh4eHka9evXsXs+GYRhffPGFUaNGDcNsNhu1atUypk6dan0NXyg1NdV4/PHHjZCQEMPHx8fo2rWrcfjw4SueGuFSHE2NkJ9jtW/fPmPQoEFGtWrVDE9PTyM4ONho06aN8fvvv1u3k5/3W17mz59v1K9f3/D09DSqVKlivPXWW8aXX35p97kTFRVldO7c2W59R8/Pli1bjNatWxuenp5GxYoVjddee8344osvLjs1woVWrFhhdO/e3QgNDTXc3d2NypUrGw899JBx4MABu7aOju2F8dWtW9fYsGGD0bx5c8PT09OIiooyPv74Y5t2jj53LveevlhcXJzRuXNnw8/PzwAcTpNQt25dw8XFxWZKl1y5r83t27cbd999t+Hn52cEBQUZw4YNc/j5MGfOHOOmm24yfHx8DB8fH6NWrVrG0KFDjZ07d14yzpLGZBglYISsyDXowIEDREdHM378+NL1H5jY2bx5M9dffz3/+9//8hxDIlJWNGzYkODgYJYsWWJX98orr/Dqq69y6tQpQkNDiyG64qExUyIiTvrss8/w9fW1+8kdkbJmw4YNxMbGcv/99xd3KCWKxkyJiFyln376ie3btzNlyhSGDRt2VXeMipQG//zzDxs3buSdd96hfPny9O7du7hDKlGUTImIXKXHHnuMEydO0KlTJ1599dXiDkek0Hz//feMGTOGmjVr8u233+b5u5PXKo2ZEhEREXGCxkyJiIiIOEHJlIiIiIgTNGbqKuTk5HDs2DH8/PyK/acvREREJH8Mw+D8+fNUqFChQH8HUcnUVTh27JjdD6+KiIhI6XD48GEqVapUYNtTMnUVcn/q4fDhw/j7+xdzNCIiIpIfiYmJREZGWr/HC4qSqauQe2nP399fyZSIiEgpU9BDdDQAXURERMQJSqZEREREnKBkSkRERMQJGjMlIiJyDcnOziYzM7O4wyg0Hh4eBTrtQX4omRIREbkGGIZBXFwc586dK+5QCpWLiwvR0dF4eHgU2T6VTImIiFwDchOp8PBwvL29y+Sk07mTah8/fpzKlSsXWR+VTImIiJRx2dnZ1kQqJCSkuMMpVGFhYRw7doysrCzc3d2LZJ8agC4iIlLG5Y6R8vb2LuZICl/u5b3s7Owi26eSKRERkWtEWby0d7Hi6KMu85Vw2dk5xCdnABDi44GrawHnvylnICsdzH5g9i2YbaYnQfp5cDODd3DBbFMscrIh+TRggHcYuLoWeQjZmekYiccAE6aAiri6Fc1pdBGRkqpUnZkaMGAAd9xxh8O6KlWqYDKZ7JY333zTpt306dNp0qQJ3t7e+Pn50bp1axYsWFAE0V+5o+dSmbhsL3dPXsPdk9cwcflejp1LLZiNp5yBXYvhm17w+a3ww8NwfAtkpFz9NjNSLNv44WHLNr/pZdlHypmCiflal3AE/nwPpnaAL9vDirfh3OEiDSEnfh8uy8fh9vUduM24E5c/3iLnzP4ijUFEShaTycS8efOKO4xiVaqSqcsZM2YMx48ft1kee+wxa/1TTz3F4MGD6d27N1u2bGH9+vXcdNNNdO/enY8//rgYI7d37Fwqfaes5d3fd3HoTAqHzqTw7m+76DNlrfMJVfp5WDcZvukJR/6CxGOw82eY0hoOr7367R5eZ9nGzp8t2zzyl2Uf6yZbzlbJ1Us4CtO7wtLX4Mw+OHsA/ngTpnW2JFlFICd+Hy5f3YFp1XuW/Z/Zh2nleFy+vksJlUgZFhcXx2OPPUbVqlUxm81ERkbStWtXlixZUtyhlRhlKpny8/MjIiLCZvHx8QFg7dq1vPPOO4wfP56nnnqK6tWrU7t2bcaOHcuIESMYOXIkhw8X7X/5eTEMg1//iePQGfuzRIfOpLB4+wkMw7j6HSSfghXjHew4B34aDufjrnybicdh/mOWbVxsxXhIPnnl25T/7PzFkkRd7NxB+Gcu5Dg47gUoJysL/plj2d/FzuzD9O/CQt2/iBSPAwcO0KhRI5YuXcr48ePZunUrv/76K23atGHo0KHFHV6JUaaSqUv59ttv8fX1ZfDgwXZ1Tz75JJmZmcyZM8fhuunp6SQmJtoshelcaiY//J332YY5G4+QkOLE7LUndzhOegDOHYLUs1e+zbSzkJBHMmrkwIkdV75NsUg9B1u+zbt+y8yre86uQPb547js+DHPetP2H8g8d7xQYxCRojdkyBBMJhPr16+nR48exMTEULduXUaOHMnatY6vZDzzzDPExMTg7e1N1apVefHFF21mXN+8eTNt2rTBz88Pf39/GjVqxIYNGwA4ePAgXbt2JSgoCB8fH+rWrcvChSX/n7UyNQD9mWee4YUXXrAp++WXX2jVqhW7du2iWrVqDmdErVChAv7+/uzatcvhdseNG8err75aKDE74mIy4XGJgeYebi6YXJy4W8H1MrPCmq5iUPPl1nEruployxyTy6WfMzcPKOS7V0wmF3C9xEBzVw9MLkU/GF5ECs+ZM2f49ddfGTt2rPUqz4UCAwMdrufn58e0adOoUKECW7du5aGHHsLPz4+nn34agH79+tGwYUMmTZqEq6srsbGx1vmghg4dSkZGBitWrMDHx4ft27fj61tAN0cVojKVTI0aNYoBAwbYlFWsWNH699VeGhs9ejQjR460Pk5MTCQyMvKqtpUfAV7u3N+8CpsOxTqs79+iCgFeTtxBFRpjudMuK92+rlxd8A668m16B1vWPbHNvs7NbNmnXB1Pf2j6MBxc7bi+ycOFftekW2BFjIb3Yzq6yWG90bA/bv7hhRqDiBStPXv2YBgGtWrVuqL1LjypUaVKFZ566ilmzpxpTaYOHTrEqFGjrNutUaOGtf2hQ4fo0aMH9erVA6Bq1arOdqNIlKnLfKGhoVSvXt1m8fLyAiAmJoZ9+/aRkZFht96xY8dITEwkJsbxF77ZbMbf399mKWzNq4VwY7T9F+SN0cE0c1B+RXzLQbeJ9mczPHzgjkngE3bl2/QJs6zrcdF/LyaTZV++5a4+XoHKzSG6tX15ZDOoekuRhJBTtQ1GpaZ25UbUTeRUbl4kMYhI0bnaExDfffcdLVu2JCIiAl9fX1544QUOHTpkrR85ciQPPvgg7dq1480332Tv3r3Wuscff5zXX3+dli1b8vLLL7Nlyxan+1EUylQydSl9+vQhKSmJTz/91K5uwoQJuLu706NHj2KIzLFy/p581Lchn/dvTJua4dxaK5zP+zfmo74NCff3dG7j7p5QsyM8sgoaD7J8Gbd53vK43HVOBH2dZRttnrdss/Egy+OaHS37lKvnFwF3TYF7ZkFMe6hxG/T5BnpNB//yRRKCa3AVcu76DOPuqVDjdohpj9HrK3K6f4JrcFSRxCAiRadGjRqYTCb+/ffffK+zZs0a+vXrR6dOnViwYAF///03zz//vM2JjFdeeYVt27bRuXNnli5dSp06dZg7dy4ADz74IPv27eO+++5j69atNG7cmI8++qjA+1bQSt1lvoSEBGJjY23Kcn9n6Pz588TF2d6J5u3tjb+/P82bN2f48OGMGjWKjIwM7rjjDjIzM/n666/54IMPeP/99wv10t3VCPf3pJ2/JzdVDwXA070Ax6SYfS2X5TqOh+x0cPMCFydzaxdXCI6GVk9B86HgagbXUvcSK7n8IixL7hmqYkhQXYOrQHAVsqq2AxcTbp5+aKSUSNkUHBxM+/btmThxIo8//rjduKlz587ZjZtavXo1UVFRPP/889aygwft7wKOiYkhJiaGJ554gr59+zJ16lTuvPNOACIjI3nkkUd45JFHGD16NJ999pnNNEclUan7plu+fDkNGza0KXvggQcAeOmll3jppZds6gYPHszkyZMBeP/996lfvz6ffPIJL7zwAq6urtxwww3MmzePrl27Fk0HrkKBJlEXc3Ur+ITHxcX+cp8UnBJwls/Nu/AvdYtI8Zs4cSItW7akadOmjBkzhvr165OVlcVvv/3GpEmT2LHD9k7tGjVqcOjQIWbOnEmTJk34+eefrWedAFJTUxk1ahR333030dHRHDlyhL/++st6ZWjEiBF07NiRmJgYzp49y7Jly6hdu3aR9vlqlKpkatq0aUybNs2pbQwaNIhBgwYVTEAiIiJlWNWqVdm0aRNjx47lySef5Pjx44SFhdGoUSMmTZpk175bt2488cQTDBs2jPT0dDp37syLL77IK6+8AoCrqyvx8fHcf//9nDhxgtDQUO666y7rHfPZ2dkMHTqUI0eO4O/vT4cOHXjvvfeKsstXxWQ4NfvjtSkxMZGAgAASEhKKZDC6iIiIM9LS0ti/fz/R0dF4ehb/2e3CdKm+Ftb39zUzAF1ERESkMCiZEhEREXGCkikRERERJyiZEhEREXGCkikRERERJyiZEhEREXGCkikRERERJyiZEhEREXGCkikRERERJyiZEhEREXGCkikREREp8SZOnEiVKlXw9PTkxhtvZP369cUdkpWSKREREcm3hJQM9p5M4u9DZ9l7KomElIxC3+d3333HyJEjefnll9m0aRMNGjSgffv2nDx5stD3nR9uxR2AiIiIlA7HzqXyzJwtrNx92lp2c41Q3uxRnwqBXoW233fffZeHHnqIgQMHAjB58mR+/vlnvvzyS5599tlC229+6cyUiIiIXFZCSoZdIgWwYvdpnp2zpdDOUGVkZLBx40batWtnLXNxcaFdu3asWbOmUPZ5pZRMiYiIyGWdTsqwS6Ryrdh9mtNJhZNMnT59muzsbMqVK2dTXq5cOeLi4gpln1dKyZSIiIhcVmJa5iXrz1+mvixTMiUiIiKX5e/pfsl6v8vUX63Q0FBcXV05ceKETfmJEyeIiIgolH1eKSVTIiIiclmhvh7cXCPUYd3NNUIJ9fUolP16eHjQqFEjlixZYi3LyclhyZIlNG/evFD2eaWUTImIiMhlBXh78GaP+nYJ1c01QnmrR30CvAsnmQIYOXIkn332GdOnT2fHjh08+uijJCcnW+/uK26aGkFERETypUKgFx/1bcjppAzOp2Xi5+lOqK9HoSZSAL179+bUqVO89NJLxMXFcf311/Prr7/aDUovLkqmREREJN8CvAs/eXJk2LBhDBs2rMj3mx+lPpkaMGAA586dY968edas9eeff+bEiRMEBQXRoEEDXnrpJVq2bAnA5s2befHFF1m7di2JiYlERERw44038tFHHxEeHl7Mvbm8hNRM4pPSSUzLwt/TjVBfM/5ehTPoLz+S0jM5fT6DrKxMKrol4JF+BlcXV/AJBb/yYDKRk54MSScwpZ+HrFTwCgI3T86ZAjid7oopJ5OKrgl4pJ8GF3fSzcEcygzA3c2VEDMEZJ/lRKaZ+HRXcjAR7OdFOXMWbiknIC0RzH7gEwZegZagzsdB8mnIzgDvUPAtB+7mYjtGBSr5lKVvmangFQy+4eDhXdxRSXEyDDh/HFJOQ0625TXvFwGuxfe5UOpkZ0HS/39umEzgHWY5hi4aCSP5U+qTqQv16NGDjIwMpk+fTtWqVTlx4gRLliwhPj4egFOnTtG2bVu6dOnCokWLCAwM5MCBA8yfP5/k5ORijv7y4hJSeW7uPyz997/p82+rE86Y7tdRPqDwZp7Ny8nENN769V8CXdMYWnEfXsufhbQES6VfBNz1OdmhtXBJOIhp4VNw7G9LnYsbOY0GcrbOoyzecZZ+fpvwWvkqZCQB4B1YmaD2kxm6LAezuxuvdq3FwzNi2XcqBQB/Tzde7RBFu5NT8ds02bLNGrdDl/ch7Rx8dy+c2Wcpd/eCW56DhveCd3DRHZzCEL8HZg+EuC2Wx67u0ORhuGmEJamSa09WJhzbBN8PhMSjljKzP3R4E2p1Aa+A4o2vNEhPgj2/wYInIPWspcy3HNw1BSKbgbtn8cYnpYLJMAyjuINwRu6ZqWnTphEUFMTy5ctp3bq1w7bz5s2jZ8+epKam4uZ29XlkYmIiAQEBJCQk4O/vf9XbuRIJKRkMnxnL8l2n7Ora1Q7nnV7XE1CEZ6hSMrIYu2AHC/85zi89vIiY3cW+kas7xkPLMc0eAPG77bfR7Akya3Qi4Kvb7Nd192Zvz99o++VBGkUF0a52OG/9utOmyZx+VWj0azfLf5MAVW+FKi1g6ev227t7Klx311X0tIRIPAZf3AYJR+zrbn0RWo4A1zL1v5HkR/w+mNQMstLt6wYshCotiz6m0uboRvjsVvtyFzd4dA2ExRR9TIUgLS2N/fv3Ex0djadn2U4QL9XXwvr+LjPnMH19ffH19WXevHmkpzv4YAEiIiLIyspi7ty5lLYc8nRyhsNECuD3HSeJT3Lc50KL53wGszYe5r6GwYRtfM9xo+xMTLFfQ0hVh9Xemz4jIPuM43UzUwg5tIgbKgex8eBZakbYv+jfW5tIYv0L7uTYtxQi6jve3tLX4PwJx3WlQfwex4kUwOoPIel40cYjxc8wYOssx4kUWF7zuWdaxLH0JPjjbcd1OVmw4QvIvnYnopT8KzPJlJubG9OmTWP69OkEBgbSsmVLnnvuObZs2WJt06xZM5577jnuueceQkND6dixI+PHj7ebCOxi6enpJCYm2ixFLTH10m/oy81MW9CS0rPIzDaoEeSCa/zOvBue2AYBkY7rMpIs45ryEBgfS8VAy1insykZmN1sX667TyWT6l/ddqXMVMuYh4ud2Qc5pfhD8dQljnFaAmSmFV0sUjJkZ1jOquTl9E7L+0HylpEMp/7Nuz5ui46h5EuZSabAMmbq2LFjzJ8/nw4dOrB8+XJuuOEGpk2bZm0zduxY4uLimDx5MnXr1mXy5MnUqlWLrVu35rndcePGERAQYF0iI/NIDgrR5WaWvdzMtAXNx+yKm4uJfQk5ZAdVy7thaE3LJSpH3L3ANe87QhKCryMu0fJfd6CXO+lZOTb10SHeeJ0/cNE2PS3/sV8sMApcSvGA3JDqedeZ/cCtbJ+2FwdcPfI+EwsQXBXcin4sZani4Q3Bl3hvhdWxfE6JXEaZSqYAPD09ue2223jxxRdZvXo1AwYM4OWXX7ZpExISQs+ePZkwYQI7duygQoUKTJgwIc9tjh49moSEBOty+PDhwu6GnRBfD5pVdTyAulWNUEJ8ivY21VBfM92vr8hXf5/lVKMnHDdyccW44X44ucNhder1g0g05XHN2s3MmahObDh4lvqVAth7yv4GgRHNAvDf8uV/BVEt4eR2x9u75TnwKxnzkVyV0BjLoH5Hbnw07zopu0wmuL5v3nfttXkBvIOKNqbSxuwHrZ92XOfiCk0f1F2Rki9lLpm6WJ06dS55p56HhwfVqlW7ZBuz2Yy/v7/NUtSCvD14t9f13Bht++HYolpIoc8864iP2Y2nO9SkUVQwX+3z4Wy7d8D9glv0vYKg73fk+JbDuHMyhNX8r85kwqjfh+N1BjHngCcJN78CbhdMXeATxsk7ZvLC8gSurxTAhB51+XrtAWu1p7sLYztVoc6x7yHp/y/RVm4Bd35qGYTuV/6/bbm6Q+tnoEa7QjkORSagItw/3/YMlckFGvbXB/61LCAS7p0D3iH/lbl7QcfxUOH6YgurVAmvDd0/AQ+f/8q8gqDPtxBUpdjCktKlzNzN98UXX9CzZ08GDRpE/fr18fPzY8OGDTz22GN07tyZL774ggULFjBz5kz69OlDTEwMhmHw008/8eyzzzJ16lTuu+++fO2zOO7my3UmOYP45HQSUzMJ8HInxNdMUDFMnpYrd96rnKx0Krmdxz31JK6ubpZb9X0jwNWN7NRETMknMaUnQEaKZQ4qdy/OEEh8hgsuWelUdD+Pe8oJTK4epHuGciDDHzc3N0LNEGCc40SGmdNpJrIMF8IDvAj3yMQjJQ5Sz1lu//YOA5+Q/+bcST4FWWmWW5x9ytBcTOdPWPqWkWyZW8s3zPLftVy7crL/f261U5bB0n7//5rXLf35l5Vh+ccs6YTln5QLPr/KCt3NZ1FY399l5pXi6+vLjTfeyHvvvcfevXvJzMwkMjKShx56iOeeew6wnKXy9vbmySef5PDhw5jNZmrUqMHnn3+e70SquAX7eBBcxJf0LiXAy/3/p2TwBUKAKnZtXL38wcv+RRvy/4tFGGC5688bqGPT0o8KQIWLN+DjYA4dkwn8K1iWssivXOm+XCkFz8XVcuYyoGJxR1J6uXlAYKRlEbkKpf7MVHEozjNTIiIiV6o0n5lasWIF48ePZ+PGjRw/fpy5c+dyxx135Nle80yJiIhIyZZ6Fk7vgiMb4PTuQp/PLDk5mQYNGjBx4sRC3Y8zysxlPhERESlkCUfhx2GWSZJzVWsL3T4qtEvNHTt2pGPHjoWy7YKiM1MiIiJyealn7RMpgL1LYP5j1/SM+0qmRERE5PKST9knUrn2LrHUX6OUTImIiMjlpV3mp9QuV1+GKZkSERGRy/O8zN1vl6svw5RMiYiIyOX5hFkGmztSra2l/hqlZEpEREQuzyvIctfexQlV7t18XoXzW5BJSUnExsYSGxsLwP79+4mNjeXQoUOFsr+roakRREREJH8CKsLdX1gGm6clWi7t+YQVWiIFsGHDBtq0aWN9PHLkSAD69+/PtGnTCm2/V0LJlIiIiOSfV1ChJk8Xu+WWWyjpP9aiy3wiIiIiTlAyJSIiIuIEJVMiIiIiTlAyJSIiIuIEJVMiIiLXiJI+kLsgFEcflUyJiIiUce7u7gCkpKQUcySFLyMjAwBXV9ci26emRhARESnjXF1dCQwM5OTJkwB4e3tjMpmKOaqCl5OTw6lTp/D29sbNrehSHCVTIiIi14CIiAgAa0JVVrm4uFC5cuUiTRaVTImIiFwDTCYT5cuXJzw8nMzMzOIOp9B4eHjg4lK0o5iUTImIiFxDXF1di3Q80bVAA9BFREREnKBkSkRERMQJSqZKOMMwyMrJISsn55qYH0REnJeTXvZvfxcpScpUMjVgwABMJhMmkwkPDw+qV6/OmDFjyMrKAiA7O5v33nuPevXq4enpSVBQEB07dmTVqlXFHLm9xNRMdsYlsm7/GWZvOMLQGZt45vstbD58jrMpGcUdnoiUMJnnjmEc24zx85O4/PAAxppJ5JzeW9xhiVwTytwA9A4dOjB16lTS09NZuHAhQ4cOxd3dnWeffZY+ffrw+++/M378eNq2bUtiYiITJ07klltuYfbs2dxxxx3FHT4A59My+X7jYaJDfXn95+3sPZVsrZu18QiPtK7KI62rEejtUYxRikhJkZkQh9uexZgWDLeWmXYuxPTnBIz7f8JUrk4xRidS9pW5ZMpsNlvn0nj00UeZO3cu8+fPp2rVqnz//ffMnz+frl27WttPmTKF+Ph4HnzwQW677TZ8fHyKK3Srk+fTWbf/LHtOJtskUrkm/7GPrg0qKJkSEQDcMhIxLRxpX5F8Gn59hsxuk3APqlT0gYlcI8rUZT5HvLy8yMjI4JtvviEmJsYmkcr15JNPEh8fz2+//eZwG+np6SQmJtoshWnFrlPcViecnzYfy7PN3E1HCzUGESlFjqyHnGyHVab9K3DNTCrigESuLWU2mTIMg99//51FixZx6623smvXLmrXru2wbW75rl27HNaPGzeOgIAA6xIZGVlocQOkpGfj7upCWpbjD0eApPSsQo1BREqRDPsz2DZyyu4EjSIlQZlLphYsWICvry+enp507NiR3r1788orrwBX/0vSo0ePJiEhwbocPny4ACO21yomlA0HztI6JizPNl0bVCjUGESkFKncPO+60Bhy3H2LLhaRa1CZGzPVpk0bJk2ahIeHBxUqVLD+0GFMTAw7duxwuE5ueUxMjMN6s9mM2WwunIAdqBjoxdmUdO5vXoXVe+NJybA9Q9U4Koga4fpwFBGLbHMQrvV6Y9r6nW2FyQWjw1u4hUQXT2Ai14gyd2bKx8eH6tWrU7lyZZtfjO7Tpw+7d+/mp59+slvnnXfeISQkhNtuu60oQ81TiK+Zl7rWJTEtk8/7N6ZzvfIEertTKciL5zvVZmK/Gwj39yzuMEWkhHALjiSnzQsYXT6A0BjwDMSodivGA7+RFV63uMMTKfPK3JmpvPTp04fZs2fTv39/u6kR5s+fz+zZs0vEnXy5wv086VK/AqfOp/FSlzpk5uTg4eZCqI8ZF5ei+yVsESkdXIMrQ/AAsqJvwWRkY7h54RZYAffiDkzkGnDNJFMmk4lZs2bx/vvv89577zFkyBA8PT1p3rw5y5cvp2XLlsUdokNhfjoDJSL55xZSpbhDELnmmAz9RskVS0xMJCAggISEBPz9/Ys7HBEREcmHwvr+LnNjpkRERESKkpIpEREREScomRIRERFxgpIpEREREScomRIRERFxgpIpEREREScomRIRERFxgpIpEREREScomRIRERFxgpIpEREREScomRIRERFxgpIpEREREScomRIRERFxgpIpEREREScomRIRERFxgpIpEREREScomRIRERFxgpIpEREREScomRIRERFxgpIpEREREScomRIRERFxgpIpERERESe4FXcA+RUXF8e4ceP4+eefOXLkCAEBAVSvXp17772XqVOn8tdff+W5buvWrVm+fDkAq1ev5vXXX2fNmjWkpqZSo0YNBg4cyPDhw3F1dS2i3kiBSk+GlHgwssDNC4wccrLSSHHx4Sz+eLm7Eupr5nRSOknpWbi5mAj28cDbI4+Xf2oCpJ4BE5CdBZjAwwf8y+cvnpwcSIqDrDRw9QDfCHB1IzM7m1PnM8jIysHs7oKbi4nsrGyCcs7gQQYmVw8ycSUnPZkcN2/cAiJwd8vnazIzBZJPk5OdSZbJE0wGJgzOGP6k5rjh7uqCn6cbCamZgIHZzZW0rBwMwyDAy51Ab4//7/tZSD0HJhN4BoFXgM1uElMziE/OICvbwOzuQvkAT9wv8745kZhGakY27q4uhPmZ8XD773+4zOxsziVn4JtxCjcjAzcPT0y+5eHCbWamQOJxyM4EN0/L8+Bmzt9xEREpAqUimdq3bx8tW7YkMDCQN954g3r16mE2m9m6dStTpkxh2LBh3H777QAcPnyYpk2b8vvvv1O3bl0APDwsXxRz586lV69eDBw4kGXLlhEYGMjvv//O008/zZo1a5g1axYmk6nY+ilX4exBWDIGts+DnCwoVxduHoXL1u/xTThMUquxLE0oT3iwP6//vIM9J5NwdzXRtX4Fnrw9hopB3v9tKzsLzuyDswfAxQX+XQibv7V8mQdUgnavQrW24B2UdzzJp+GfH2DF25B8CjwDocUw0uvfx8frzjF19UGS0rOI8Dczs191yh/4AfPaDy1JjHcI7k0eAp9QWP0Rya1fJj26Nb6BoZc+BglHYOkb8M8sXLIz8QiNIaHL5/x5yotxS3dz5GwqXu6u3HVDRW6rUw5XE0xZuZ8/95zGMKBRVBDje9QlOucwpoWj4NBqy3artoGOb0FoDFk5BgfjU/hj10k+XbGPE4np+JrduK9ZFANbViHc39M+rNRM/tx9inG//GuNoW/TSAa3rkY5f09OJqZx6sRRKh39Ba+/3rMcO68gcpo/hssN94FvuOX5XTYWtv1gSabCasKtL0KFhpbnRESkBDAZhmEUdxCX06FDB7Zt28a///6Lj4+PXb1hGNYk6MCBA0RHR/P3339z/fXXW9skJycTFRVF69atmTNnjs36P/30E926dWPmzJn07t37svEkJiYSEBBAQkIC/v7+znVOrl7iUZjayZL8XMjkAr2/ggVPQMoZUgcuofnUk5xLybRpVjXUh28eakZEwP8nAmf2wek9cHI77F0K+/+w32f3T6BBX0uydbGsNPjzfVg+zq4qo8F9fOg6gI9XnwDggabhPOn2Hd6bPrPfTtOHID0JNn9LYpdPMercSYB3Hmdizh+H6d3h9E5rkVGxCfPqvMsTPx22a968Wgi31ynHqz9tt5a5u5pYOjCSyO9utySOF/IMgMErOGyEMffvY7z72y67bXa8LoJxd9X77+wWlvfkj7HHGPFdrF37FtWCmdDzehZtPkDP1Fn4rn3Xro3ReBCmm0fB/7rB6d32/e71NUQ1tySeIiL5VFjf3yV+zFR8fDyLFy9m6NChDhMpIF9nkxYvXkx8fDxPPfWUXV3Xrl2JiYnh22+/dTpeKUJHN9knUgBGDqz+GBreDzlZuP8xlvsbBts123c6mZ1xiZYHWWlweANsnAqhNRwnUgC/v2xJYBw5fwL+fM9hlceWr7mr5n8JUZ86Zrxjv3S8nY3ToE43APxXvIpL8gnH7QBO/muTSAHENRrJG8tPOmy+Zm88FQO9MF9wqa1znRBC//nSPpECSEvA2Pwd51Mz+HzlPofb/OWfOE4npdvGkJjGGwt3OGy/eu8ZTiam0Tw8C98NEx22MW2cZrl06yiRgv8/83facZ2ISBEr8cnUnj17MAyDmjVr2pSHhobi6+uLr68vzzzzzGW3s2uX5T/q2rVrO6yvVauWtc3F0tPTSUxMtFmkBNj5a951h9dBuToAuB1eQ+Py7g6brdj9/1/IaYngYoJzhyB+T97bTT4F6ecd16WetSRljhgGXmknrEmMT9Y5yMl23DY7E7IyLH8nHiMnLY/9AexdZh+iRxinzqc7aGyx52QSFQK9rI9vLO+G15GVebY37fkNc04KiWlZebbZdyrZNob0LE5eIoatRxMIIAmy8mhj5EDCUXDJYyRC3BbITHZcJyJSxEp8MpWX9evXExsbS926dUlPz/tD+2JXc1Vz3LhxBAQEWJfIyMgr3oYUgkuNmfEJ/S/p8Q7lXFqOw2blcy/xubpbkhhXD/C2P4tlZXLJe/Czm/24oQvluPuSkW2JI9v10m1x/f/kz8UVF/dLDLYOqGBX5OGSg8slTtYG+XiQdEFiFJ8GeIfk2d7wCcdw8cizHrC5xAfg4eaK6yWCCPM1k+VymUHkZj/LODiHdf5gKhVDPkXkGlDik6nq1atjMpnYudP2UkbVqlWpXr06Xl5eeaxpKyYmBoAdOxxfetixY4e1zcVGjx5NQkKCdTl82H4sihSD63pY7jpz5Pp7Yev3ACQ3HsIXsfZnMVxM0LZ2OcsDryAIjILaXcAcYPkid6Rmx7zH6fiEQvkGjusCKrEz2ZvcXH57ghmCqzpuG1YLzh0EICOmG9leeSc6VL/NkuBdIHj/fDrUdryOt4crQd4enLrgstzMrQmcqD8kz12YWgwjFXeaVXWcZAb7eFApyPZ9GOLjQfu65fKMoWZ5PzaddoWIeo53GljZchekKY+PqAZ9wDcsz5hFRIpSiU+mQkJCuO222/j4449JTr760/q33347wcHBvPPOO3Z18+fPZ/fu3fTt29fhumazGX9/f5tFSgD/CtB9kv0XbnRry5f0gZWkVe9MStUONmOEAFxdTHzU9wYi/C84OxJWEyo2stzN1n0iuHvbbje0BnR4M+9EyycU7v7SEteFvILI6PUNE1YnWIte+yOeE52+tE/MfMOh/VhY/RE5YXXIavsKvr620xPYHoPy0HM6uPw3lYBv7Jc83yqAGuG2Yww93V34qG9Djp61HRt15GwqR7xrk9P4Qfvtt3oKwmpRMcCLp9vXIjLYNmnyNbvxRf/GRFx0N5+P2Y3nO9WmRjlfuximDmxCxUAvqkZFcaTtJ+AXYbtPryDoOxMCKlqOp8tFUy9E3ghNHgRvDT4XkZKhVNzNt3fvXlq2bElQUBCvvPIK9evXx8XFhb/++ounnnqKfv36WZOkvO7mA/j+++/p06cPgwYNYtiwYfj7+7NkyRJGjRpF27Zt8z01gu7mK0EykiHpBBz40zJmqXJzDCObnMObSKvUnIOZQWR5BhHiYzkbs3bfGUJ8PGgaHUy4vyde7hd9UaectQx8Tj8PRjac2mmZM6pSE0sy5ZePuaYSjsKpHRC3FUJrQkQ9sv0qcjwxja1HEzhwOpm6FQKoFOiFb0Yc/gk78TizE1N4bQy/CmQe2kBOSA0IqYZ7QHncXC/zP09mKpyPwzi4CiPpFFRuRo6LB6dzfDmQ4c/fR5KoGORN3YoB7Iw7j9nNhYqBXqzdF092jsFNNUIp5+9JIMmWvu5dZhmrVLW15ezQ/881lZBimWNqz8kkth9PpHq4L/UrBlAxyDvPS3onEtM4cDqZTYfOUinIm+sjAykf4ImbqwvZOQYnz6dhTonD48xOzKe34xJeC9fy9S2JlMlk6VvCEcvzm3QSolpAQKTl8qbrpS89iohcrLC+v0tFMgVw/Phx3njjDeuknWazmTp16tCzZ0+GDBmCt7flLMKlkimAlStXMnbsWNasWUNaWpp10s4RI0bke9JOJVMiIiKlzzWfTJUkSqZERERKn2t2nikRERGRkkzJlIiIiIgTlEyJiIiIOEHJlIiIiIgTlEyJiIiIOEHJlIiIiIgTlEyJiIiIOEHJlIiIiIgTlEyJiIiIOEHJlIiIiIgTlEyJiIiIOEHJlIiIiIgTlEyJiIiIOEHJlIiIiIgTlEyJiIiIOEHJlIiIiIgTlEyJiIiIOEHJlIiIiIgTlEyJiIiIOEHJlIiIiIgTlEyJiIiIOEHJlIiIiIgTlEyJiIiIOKFYk6kBAwZgMpnslg4dOgCwefNmunXrRnh4OJ6enlSpUoXevXtz8uTJPLe5fPlyTCYT586dc1i/bds2evToQZUqVTCZTLz//vuF0LMClJ0F5w7Dzl/hry/hyAZIyrv/IiIiUrTcijuADh06MHXqVJsys9nMqVOnaNu2LV26dGHRokUEBgZy4MAB5s+fT3Jy8lXvLyUlhapVq9KzZ0+eeOIJZ8MvXDnZcGwTfH0XpJ//r7zCDdD7awioWHyxiYiICFACkimz2UxERIRd+bx580hISODzzz/Hzc0SZnR0NG3atHFqf02aNKFJkyYAPPvss05tq9AlHrVPpMCSYC19DTq/Cx7exRObiIiIACV4zFRERARZWVnMnTsXwzCKNZb09HQSExNtliJxcod9IpXrn+8hWZf7REREiluxJ1MLFizA19fXZnnjjTdo1qwZzz33HPfccw+hoaF07NiR8ePHc+LEiSKPcdy4cQQEBFiXyMjIotlx4vG867IzITujaOIQERGRPBV7MtWmTRtiY2NtlkceeQSAsWPHEhcXx+TJk6lbty6TJ0+mVq1abN26FYC6detaE7COHTsWWoyjR48mISHBuhw+fLjQ9mWjfL2863zDwcOnaOIQERGRPBX7mCkfHx+qV6+eZ31ISAg9e/akZ8+evPHGGzRs2JAJEyYwffp0Fi5cSGZmJgBeXl6FFqPZbMZsNhfa9vMUEAkVm8DRv+zr2r4MvuWLPiYRERGxUezJ1JXw8PCgWrVq1rv5oqKiijmiQuYbDr2mw7KxsHWW5dKebzlLIlWzI7gU+4lFERGRa16xJ1Pp6enExcXZlLm5ubF27VpmzpxJnz59iImJwTAMfvrpJxYuXGg3lYIjW7duxc/Pz/rYZDLRoEEDMjIy2L59OwAZGRkcPXqU2NhYfH19L3mGrNgEVITOE6D1M5Cdbrm051teiZSIiEgJUezJ1K+//kr58raXq2rWrMnChQvx9vbmySef5PDhw5jNZmrUqMHnn3/Offfdd9nt3nzzzTaPXV1dycrK4tixYzRs2NBaPmHCBCZMmEDr1q1Zvnx5gfSpwLl7Q1AZPwsnIiJSSpmM4p53oBRKTEwkICCAhIQE/P39izscERERyYfC+v7WtSIRERERJyiZEhEREXGCkikRERERJyiZEhEREXGCkikRERERJyiZEhEREXGCkikRERERJyiZEhEREXGCkikRERERJyiZEhEREXGCkikRERERJyiZEhEREXHCVSVTY8aMISUlxa48NTWVMWPGOB2UiIiISGlhMgzDuNKVXF1dOX78OOHh4Tbl8fHxhIeHk52dXWABlkSF9avTIiIiUngK6/v7qs5MGYaByWSyK9+8eTPBwcFOByUiIiJSWrhdSeOgoCBMJhMmk4mYmBibhCo7O5ukpCQeeeSRAg9SREREpKS6omTq/fffxzAMBg0axKuvvkpAQIC1zsPDgypVqtC8efMCD1JERESkpLqiZKp///4AREdH06JFC9zd3QslKBEREZHSIt/JVGJionWwVsOGDUlNTSU1NdVhWw3KFhERkWtFvpOpoKAg6x18gYGBDgeg5w5ML+t384mIiIjkyncytXTpUuudesuWLSu0gERERERKk6uaZ+pap3mmRERESp/C+v6+ogHoFzp79ixffPEFO3bsAKBOnToMHDhQ80wVpLQEyEwBNy/wCiz8/aWfh4xkcPUA7/9/HjNTLXGYXME3rPBjuJzk05CdCV4B4O5dvLFkpFiOjas7+IQWbywiIlJsrmrSzhUrVlClShU+/PBDzp49y9mzZ/nwww+Jjo5mxYoVBR0jAKdOneLRRx+lcuXKmM1mIiIiaN++PatWrQIsE4Z269aN8PBwPD09qVKlCr179+bkyZM225k+fTpNmjTB29sbPz8/WrduzYIFCwol5quWlgiH1sGs++GzW+G7e+HAKkhNKJz9ZaTA8c3ww2D4rA180wsOrIZTu2DhM5YY/tcNYr+B8ycKJ4bLSToJW2fDV3fA57fCgpGW+LIyiz6W7Cw4vQt+fgo+b2uJacssS4wiInLNuaozU0OHDqV3795MmjQJV1dXwDJp55AhQxg6dChbt24t0CABevToQUZGBtOnT6dq1aqcOHGCJUuWEB8fz6lTp2jbti1dunRh0aJFBAYGcuDAAebPn09ycrJ1G0899RQff/wxr7/+OnfccQeZmZl8/fXXdO/enQ8++IBhw4YVeNxXLDsLdv0CPzz8X1niMZi2Erp+AA36gpu5YPd5aA3MuBuMHMvjzFTITIbP7racqQJIPArzHoWYTtD9Q/ApwrNUKfGw6DlLMpVr87ewbS488BuUr190sQCc2gGft4OsNMvjxKPww0NwXQ/oOB58Qoo2HhERKVZXNWbKy8uL2NhYatasaVO+c+dOrr/++jynTLha586dIygoiOXLl9O6dWu7+nnz5tGzZ09SU1Nxc3OcH65du5bmzZvz4Ycf8thjj9nUPfnkk3z00Ufs3buXyMjIy8ZTqGOmzh2GyS0tl48u5u4NQ9dBYOWC21/icfiiHSQc+a+s+VA4+S/sXeJ4nQeXQKXGBRfD5RzfAp+2clxXuQX0+Qa8g4omltSzMPNeOPin4/rBK4s+uRMRkXwpUb/Nd8MNN1jHSl1ox44dNGjQwOmgLubr64uvry/z5s0jPT3drj4iIoKsrCzmzp1LXrnht99+i6+vL4MHD7are/LJJ8nMzGTOnDkO101PTycxMdFmKTQppx0nUmAZP5VUwJfZ0s7aJlIAlZrCvqV5r7Pjp4KN4XL2XiKWQ6vzPl6FIS0x70QKYPfiootFRERKhHxf5tuyZYv178cff5zhw4ezZ88emjVrBljO/EycOJE333yz4IN0c2PatGk89NBDTJ48mRtuuIHWrVvTp08f6tevT7NmzXjuuee45557eOSRR2jatCm33nor999/P+XKlQNg165dVKtWDQ8PD7vtV6hQAX9/f3bt2uVw/+PGjePVV18t8H455OJ6mfqrvmfAMZOD/Rk5lv1k5zEeyc2zYGO4nEtd1jS5gIM5zwqNyWR5jnLymEutqI+NiIgUu3xf5nNxccFkMuV55se6wUKctDMtLY2VK1eydu1afvnlF9avX8/nn3/OgAEDAIiPj2fp0qWsW7eOuXPncubMGVasWEG9evXo2LEjx44dY/PmzQ63HRAQQL9+/fjkk0/s6tLT023OiCUmJhIZGVk4l/kSj1kGgZ+Ps6/zDrZcRgqoVHD7SzoF/+sKJy8403h9P8t4oH8cn6nj0dVQrm7BxXA5p3bCxKaO62p1gTsng9mvaGJJT4J5Q2DHj47rh66HsJqO60REpFgV1mW+fCdTBw8ezPdGo6KirjqgK/Hggw/y22+/OYwtIyODhg0b0rhxY6ZPn87w4cP58ssviY+Ptzs7dezYMSpWrMh7773HiBEjLrvfQh0zZRiWy0hf3Wl7ZsjFDe6ZBVVvufzZqyt1LBamdfpvsLm7l2Uc0o9DLcndhVqOgJtGgFcRjVECy2W89Z/B0tdsy33CYNAiCKlWdLEAnNkHX7a3v3vvlueg2aPgqbnHRERKomKfZyo3QcrMzGTw4MG8+OKLREdHF1ggV6NOnTrMmzfPYZ2HhwfVqlWz3s3Xp08fPvzwQz799FO7AegTJkzA3d2dHj16FHbIl2cyQaUb4dG18PdXcDwWyl0HjfpDQOWCT6QAIurBI6ssd8sdXAXB1cC/Egz81TJeafuP4B0CNz4MITWKNpEC8AyAJg9A1Taw/lNLElOzo2UpyMH4+RVcFR5cCjt/gZ0LLfNvNR1sOW5KpERErjlXdTdfQEAAsbGxRZZMxcfH07NnTwYNGkT9+vXx8/Njw4YNPPbYY3Tu3Jk777yTmTNn0qdPH2JiYjAMg59++olnn32WqVOnct999wEwYsQIJk+ezNixY22mRhg3bhzvv/++XZKVlyKbAT0n23K5zdUTXAshibLbXw5kpYKrGVwvyLMzksHFHdzsx5sVuexMyM6w3NlYlGOlHDEMy00BJeXYiIjIJRX7makL3XHHHcybN48nnniiwAK5FF9fX2688Ubee+899u7dS2ZmJpGRkTz00EM899xzHD9+HG9vb5588kkOHz6M2WymRo0afP7559ZECuD999+nfv36fPLJJ7zwwgu4urpyww03MG/ePLp27VokfbkiLq7g4VOE+3NxvL+ijOFyXN0tS0lgMpWsYyMiIsXiqs5Mvf7667zzzjvceuutNG7cGB8f2y+Uxx9/vMACLIn023wiIiKlT7EPQL/QpS7vmUwm9u3b51RQJZ2SKRERkdKnRF3m279/PwCnT58GIDRUP/IqIiIi16YrngH93LlzDB06lNDQUMqVK0e5cuUIDQ1l2LBhJCQU4UzUIiIiIiXAFZ2ZOnPmDM2bN+fo0aP069eP2rVrA7B9+3amTZvGkiVLWL16NUFBRXzrvIiIiEgxuaJkasyYMXh4eLB3717rz7RcWHf77bczZswY3nvvvQINUkRERKSkuqLLfPPmzWPChAl2iRRYfmz47bffZu7cuQUWnIiIiEhJd0XJ1PHjx6lbN+/fZLvuuuuIi3Pwm3IiIiIiZdQVJVOhoaEcOHAgz/r9+/cTHBzsbEwiIiIipcYVJVPt27fn+eefJyMjw64uPT2dF198kQ4dOhRYcCIiIiIl3RVN2nnkyBEaN26M2Wxm6NCh1KpVC8Mw2LFjB5988gnp6els2LCByMjIwoy52GnSThERkdKnREzaWalSJdasWcOQIUMYPXo0uXmYyWTitttu4+OPPy7ziZSIiIjIha54BvTo6Gh++eUXzp49y+7duwGoXr26xkqJiIjINemqfk4GICgoiKZNmxZkLCIiIiKlzhX/nIyIiIiI/EfJlIiIiIgTlEyJiIiIOEHJlIiIiIgTlEyJiIiIOEHJlIiIiIgTlEyJiIiIOEHJlIiIiIgTlEyJiIiIOKHEJ1MDBgzgjjvusCtfvnw5JpOJc+fOWf92tMTFxVnXOXPmDCNGjCAqKgoPDw8qVKjAoEGDOHToUBH2KA9Z6XDuEBz9G+L+gfNxl19HREREit1V/5xMSbRz5067X4EODw8HLIlUs2bN8PDwYPLkydStW5cDBw7wwgsv0KRJE9asWUPVqlWLI2xIOQObZ8LS1yAzxVIWFA09p0FEfXAp8TmviIjINatMJVPh4eEEBgY6rHv++ec5duwYe/bsISIiAoDKlSuzaNEiatSowdChQ/nll1+KMNoLHFwFi0bblp3dD9O7wCOrICiqeOISERGRy7omTnnk5OQwc+ZM+vXrZ02kcnl5eTFkyBAWLVrEmTNnij64pJOWM1KOpJ+HvUuLNh4RERG5IqXizNSCBQvw9fW1KcvOzrZrV6lSJZvHUVFRbNu2jVOnTnHu3Dlq167tcPu1a9fGMAz27NlD06ZN7erT09NJT0+3Pk5MTLyabjiWnQmnd+ddf2QDNB5YcPsTERGRAlUqkqk2bdowadIkm7J169Zx77332pStXLkSPz8/62N3d3ebesMwrmr/48aN49VXX72qdS/L1Q2CoyF+r+P6Cg0KZ78iIiJSIEpFMuXj40P16tVtyo4cOWLXLjo62uGYqbCwMAIDA9mxY4fD7e/YsQOTyWS3j1yjR49m5MiR1seJiYlERkZeQQ8uwbcc3PI8zBlkX+fuDTVuL5j9iIiISKG4JsZMubi40KtXL7755hubqRIAUlNT+eSTT2jfvj3BwcEO1zebzfj7+9ssBaraLdDmeXD1+K/MLwL6zwf/SnmuJiIiIsWvVJyZyq+TJ0+SlpZmUxYSEoK7uztvvPEGS5Ys4bbbbuPtt9/muuuuY//+/bzwwgtkZmYyceLEYooa8A6B5sOgfm9IOgFuZvAJA7/yYDIVX1wiIiJyWWUqmapZs6Zd2Zo1a2jWrBkhISGsXbuWMWPGMHjwYOLi4ggODqZjx458/fXXVK5cuRgivoCHN3hEaRoEERGRUsZkXO2o7GtYYmIiAQEBJCQkFPwlPxERESkUhfX9fU2MmRIREREpLEqmRERERJygZEpERETECUqmRERERJygZEpERETECUqmRERERJygZEpERETECUqmRERERJygZEpERETECUqmRERERJygZEpERETECUqmRERERJygZEpERETECUqmRERERJygZEpERETECUqmRERERJygZEpERETECUqmRERERJygZEpERETECUqmRERERJygZEpERETECUqmRERERJygZEokL9lZ9mWGATkOyvMpKzvHiYBERKQkKrHJ1IABAzCZTDzyyCN2dUOHDsVkMjFgwACbthcvHTp0sFlv9erVdOrUiaCgIDw9PalXrx7vvvsu2dnZRdElKQ3Sk+DEdvjlGZh1H2ycBucOQWoCHN0EPz0Os+6HrXMg4Wi+NpmdY3AoPpkpK/by6IxNTFj0L3tPJZGWqdediEhZ4FbcAVxKZGQkM2fO5L333sPLywuAtLQ0vvnmGypXrmzTtkOHDkydOtWmzGw2W/+eO3cuvXr1YuDAgSxbtozAwEB+//13nn76adasWcOsWbMwmUyF3ykpuTKSYfs8+HHof2U7F4JPGPSdCTPuhtSzlvJ/f4bgqnD/fAiMvORmdxxPpPena0jOsCRPv20/weQ/9vF5/8bcVD0UN9cS+z+NiIjkQ4n+FL/hhhuIjIzkhx9+sJb98MMPVK5cmYYNG9q0NZvNRERE2CxBQUEAJCcn89BDD9GtWzemTJnC9ddfT5UqVXjwwQeZPn0633//PbNmzSrSvkkJlHQS5j9mX558Cpa+Dg3vtS0/sw9WfwhZ6Xlu8tT5dIbP/NuaSOXKyjF47Ju/OXE+73VFRKR0KNHJFMCgQYNszjh9+eWXDBw48Iq2sXjxYuLj43nqqafs6rp27UpMTAzffvttnuunp6eTmJhos0gZdHg9GHmMadq/HCJvtC//+2tIPp3nJs8kZ7D3VLLDuvPpWRw7l3oVgYqISElS4pOpe++9lz///JODBw9y8OBBVq1axb333mvXbsGCBfj6+tosb7zxBgC7du0CoHbt2g73UatWLWsbR8aNG0dAQIB1iYy89GUdKaUyU/KuMwzHiVZWGmDkuVp2zqUHnKdr3JSISKlXosdMAYSFhdG5c2emTZuGYRh07tyZ0NBQu3Zt2rRh0qRJNmXBwcE2jw0j7y+9Sxk9ejQjR460Pk5MTFRCVRY5OvOUK7w2JBy2L69xO5j981wt0NuDYB8PziRn2NW5uZioHOx9NZGKiEgJUuKTKbBc6hs2bBgAEydOdNjGx8eH6tWrO6yLiYkBYMeOHbRo0cKufseOHdSpUyfP/ZvNZpvB7FJG+UVAg76w+aJLvi6ucOsLsPhF23J3L2j3CnjmnUyV8/dkTPe6DPvmb7u6YbdWJ8RXrysRkdKuxF/mA8udehkZGWRmZtK+ffsrXv/2228nODiYd955x65u/vz57N69m759+xZEqFKaeQfDbWPgjkkQWgO8gixnnh5aDhUaQZOHIDDKUn5dT3h4BYTUuOQmXV1MtI4JY/bg5jSNDsLfy426FfyZcl8j7m9eBR9zqfh/RkRELqFUfJK7urqyY8cO69+OpKenExcXZ1Pm5uZGaGgoPj4+fPrpp/Tp04eHH36YYcOG4e/vz5IlSxg1ahR33303vXr1KvR+SCngGw7X3wPV21km5/Tw/e/MU7NH4boeYGSDOQDMPvnapJ+nO02ig5lyX2NSM7Mxu7kQ7KMzUiIiZUWpSKYA/P3zvpQC8Ouvv1K+fHmbspo1a/Lvv/8CcPfdd7Ns2TLGjh1Lq1atSEtLo0aNGjz//POMGDFCc0yJLd9w+zKTCfzKXfUmA709CLz6iEREpIQyGVc7KvsalpiYSEBAAAkJCZdN8kRERKRkKKzv71IxZkpERESkpFIyJSIiIuIEJVMiIiIiTlAyJSIiIuIEJVMiIiIiTlAyJSIiIuIEJVMiIiIiTlAyJSIiIuIEJVMiIiIiTlAyJSIiIuIEJVMiIiIiTlAyJSIiIuIEJVMiIiIiTlAyJSIiIuIEJVMiIiIiTlAyJSIiIuIEJVMiIiIiTlAyJSIiIuIEJVMiIiIiTlAyJSIiIuIEJVMiIiIiTlAyJSIiIuKEYk+munbtSocOHRzWrVy5EpPJxJYtWzCZTMTGxjpsN23aNEwmk93i6elp0+7w4cMMGjSIChUq4OHhQVRUFMOHDyc+Pr6guyUiIlJwMpLh7CE4sw+SThV3NAXCOLMf48R2jFO7yDl/wlp+Mv4MB+LiOXLqDGkpScUYYf65FXcADzzwAD169ODIkSNUqlTJpm7q1Kk0btwYf3//y27H39+fnTt32pSZTCbr3/v27aN58+bExMTw7bffEh0dzbZt2xg1ahS//PILa9euJTg4uGA6JSIiUlDOHYLfx8D2uZCTBeF1oNMEqHA9ePgUd3RXLDvhGC6nd2Fa/Byc2AYublCrK8atL3AgO5SB/9vMgfgUzG4u9GgQzmO3Vqd8SEBxh31JxX5mqkuXLoSFhTFt2jSb8qSkJGbPns0DDzyQr+2YTCYiIiJslnLlylnrhw4dioeHB4sXL6Z169ZUrlyZjh078vvvv3P06FGef/75guyWiIiI8xKPwfRu8M9sSyIFcHI7TO8MJ7YXb2xXyeXcAUxf32lJpABysjBtn4tpxt1UcYvnQHwKAOlZOXyzMY6HZsRy8szZYoz48oo9mXJzc+P+++9n2rRpGIZhLZ89ezbZ2dn07dvX6X2cOXOGRYsWMWTIELy8vGzqIiIi6NevH999953N/kVERIrd8Vg4u9++3DBg8fOQcqbIQ3JGzrmDsORVMHLsK8/uh2N/81Gf622K/zmWxMEzaUUT4FUq9mQKYNCgQezdu5c//vjDWjZ16lR69OhBQED+Tu0lJCTg6+trs3Ts2BGA3bt3YxgGtWvXdrhu7dq1OXv2LKdOOb4OnZ6eTmJios0iIiJS6HYtyrvuyHrITCm6WAqAKTsL0+F1eTfYu5TWNcPtitfvK9ljm4t9zBRArVq1aNGiBV9++SW33HILe/bsYeXKlYwZMybf2/Dz82PTpk02ZRefhbraM0/jxo3j1Vdfvap1RURErlpAZN51XsFgKhHnRK6AAd4hkHzacbVfBEnpmXbF5fzNhRyXc0rMs/DAAw8wZ84czp8/z9SpU6lWrRqtW7fO9/ouLi5Ur17dZqlYsSIA1atXx2QysWPHDofr7tixg6CgIMLCwhzWjx49moSEBOty+PDhK++giIjIlarTHS64mcpGsyHgW85xXQmV41cRo/GDjitNJqjbg7smrrEpdnc10bSq4+/nkqLEJFO9evXCxcWFb775hv/9738MGjTI5m48Z4SEhHDbbbfxySefkJqaalMXFxfHjBkz6N27d577M5vN+Pv72ywiIiKFzr8C3DnF/gxU1TbQ8F5wcS2euK6Sq4cXXN8XI/qikyUmF4wuH5Dp4Ufc+f/GR7m7mpjStx7lfEp2P0vEZT4AX19fevfuzejRo0lMTGTAgAF2bS6e+gCgbt26gOUSXlxcnF19eHg4Li4ufPzxx7Ro0YL27dvz+uuv20yNULFiRcaOHVvgfRIREXGKhw/U6gKPbYQDf0LqWajSCgIjwadkn63JiymoCkbXDzCSTsC+P8ArEKJbk2P241y2N98/dAMb9p8h3M+DxtGhRPh54OFVsqeAMBkl6Ba2NWvW0KJFCzp16sTPP/9sLT9w4ADR0dEO1zl8+DC///47AwcOdFh//PhxIiIiADh48CAvv/wyv/76K2fOnCEiIoI77riDl19+mZCQkHzHmZiYSEBAAAkJCTpLJSIiUkoU1vd3iUqmSgslUyIiIqVPYX1/l5gxUyIiIiKlkZIpEREREScomRIRERFxgpIpEREREScomRIRERFxgpIpEREREScomRIRERFxgpIpEREREScomRIRERFxgpIpEREREScomRIRERFxgpIpEREREScomRIRERFxgpIpEREREScomRIRERFxgpIpEREREScomRIRERFxgpIpEREREScomRIRERFxgpIpEREREScomRIRERFxgpIpEREREScomRIRERFxQplKpk6dOsWjjz5K5cqVMZvNRERE0L59e1atWmVts3r1ajp16kRQUBCenp7Uq1ePd999l+zs7GKMXKR0OJ+ayb5TSczecJg5Gw+z/3Qy59MyizssEZFi5VbcARSkHj16kJGRwfTp06latSonTpxgyZIlxMfHAzB37lx69erFwIEDWbZsGYGBgfz+++88/fTTrFmzhlmzZmEymYq5FyIl09mUDL78cz8fLd1jLTOZ4MnbYri3WRSB3h7FGJ2ISPExGYZhFHcQBeHcuXMEBQWxfPlyWrdubVefnJxMVFQUrVu3Zs6cOTZ1P/30E926dWPmzJn07t37svtKTEwkICCAhIQE/P39C6wPIiXZqj2n6ff5Ood1sx9pTpMqwUUckYjIlSms7+8yc5nP19cXX19f5s2bR3p6ul394sWLiY+P56mnnrKr69q1KzExMXz77bcOt52enk5iYqLNInItSUrLYtLyPXnWf/rHPlIzdKlcRK5NZSaZcnNzY9q0aUyfPp3AwEBatmzJc889x5YtWwDYtWsXALVr13a4fq1ataxtLjZu3DgCAgKsS2RkZOF0QqSESs/K5uR5+39Scp1ITCM9S8mUiFybykwyBZYxU8eOHWP+/Pl06NCB5cuXc8MNNzBt2jRrm6u5qjl69GgSEhKsy+HDhwswapGSz9fsxo1VQ/Ksb1EtBB9zmRqCKSKSb2UqmQLw9PTktttu48UXX2T16tUMGDCAl19+mZiYGAB27NjhcL0dO3ZY21zMbDbj7+9vs4hcS8zurgxsUQWzm/1HhreHK32bVsbdtcx9nIiI5EuZ//SrU6cOycnJ3H777QQHB/POO+/YtZk/fz67d++mb9++xRChSOlQOdib7x9tQb2KAdayhpUD+f6RFkQGexdjZCIixavMnJePj4+nZ8+eDBo0iPr16+Pn58eGDRt4++236d69Oz4+Pnz66af06dOHhx9+mGHDhuHv78+SJUsYNWoUd999N7169SruboiUWG6uLtSrGMD0QU1ISMnCZIIAL3eCfDQlgohc28rM1Ajp6em88sorLF68mL1795KZmUlkZCQ9e/bkueeew8vLC4CVK1cyduxY1qxZQ1paGjVq1GDgwIGMGDECV1fXfO1LUyOIiIiUPoX1/V1mkqmipGRKRESk9NE8UyIiIiIlkJIpEREREScomRIRERFxgpIpEREREScomRIRERFxgpIpEREREScomRIRERFxgpIpEREREScomRIRERFxgpIpEREREScomRIRERFxgpIpEREREScomRIRERFxgpIpEREREScomRIRERFxgpIpEREREScomRIRERFxgpIpEREREScomRIRERFxgpIpEREREScomRIRERFxgpIpERERESe4FXcAIlLKZGdDyinABD6h4OJa3BGJiBSrUnFmKi4ujuHDh1O9enU8PT0pV64cLVu2ZNKkSaSkpABQpUoVTCaT3fLmm2/abGv69Ok0adIEb29v/Pz8aN26NQsWLCiObomUPucOw4q34cv2MLUD/PkeJBwp7qhERIpViT8ztW/fPlq2bElgYCBvvPEG9erVw2w2s3XrVqZMmULFihXp1q0bAGPGjOGhhx6yWd/Pz8/691NPPcXHH3/M66+/zh133EFmZiZff/013bt354MPPmDYsGFF2jeRUiXhCEzrDOcO/le29DWInQH9F0BAxeKLTUSkGJX4ZGrIkCG4ubmxYcMGfHx8rOVVq1ale/fuGIZhLfPz8yMiIsLhdtauXcs777zDhx9+yGOPPWYtHzt2LGlpaYwcOZLu3bsTGRlZeJ0RKa1ycuCfH2wTqVxn9sGuX6HJA0Ufl4hICVCiL/PFx8ezePFihg4dapNIXchkMuVrW99++y2+vr4MHjzYru7JJ58kMzOTOXPmOFw3PT2dxMREm0XkmpJ6FrbOyrt+8zeWNiIi16ASnUzt2bMHwzCoWbOmTXloaCi+vr74+vryzDPPWMufeeYZa3nusnLlSgB27dpFtWrV8PDwsNtPhQoV8Pf3Z9euXQ7jGDduHAEBAdZFZ6/kmmMygat73vWuHmDSQHQRuTaV6GQqL+vXryc2Npa6deuSnp5uLR81ahSxsbE2S+PGja31F14SvBKjR48mISHBuhw+fNjpPoiUKt7B0OThvOubPgye/kUXj4hICVKix0xVr14dk8nEzp07bcqrVq0KgJeXl015aGgo1atXd7itmJgY/vzzTzIyMuzOTh07dozExERiYmIcrms2mzGbzVfbDZGyoeotULkZHFprWx7dGio3L5aQRERKghJ9ZiokJITbbruNjz/+mOTkZKe21adPH5KSkvj000/t6iZMmIC7uzs9evRwah8iZZp/eeg5Dfp8CzVuh5j2cM8suOsz8HN844eIyLWgRJ+ZAvjkk09o2bIljRs35pVXXqF+/fq4uLjw119/8e+//9KoUSNr2/PnzxMXF2ezvre3N/7+/jRv3pzhw4czatQoMjIybKZG+OCDD3j//fc1FkrkcvzKQ63yUO1Wy2N3z+KNR0SkBDAZVzuQqAgdP36cN954g59//pkjR45gNpupU6cOPXv2ZMiQIXh7e1OlShUOHrS/bXvw4MFMnjzZ+vjLL7/kk08+Ydu2bbi6unLDDTcwatQounbtmu94EhMTCQgIICEhAX9/jRMREREpDQrr+7tUJFMljZIpERGR0qewvr9L9JgpERERkZJOyZSIiIiIE5RMiYiIiDhByZSIiIiIE5RMiYiIiDhByZSIiIiIE5RMiYiIiDhByZSIiIiIE5RMiYiIiDihxP82X0mUO2l8YmJiMUciIiIi+ZX7vV3QP/6iZOoqnD9/HkA/jCwiIlIKnT9/noCAgALbnn6b7yrk5ORw7Ngx/Pz8MJlMl22fmJhIZGQkhw8fviZ+y+9a6q/6Wjapr2WT+lp25be/hmFw/vx5KlSogItLwY100pmpq+Di4kKlSpWueD1/f/9r4kWd61rqr/paNqmvZZP6Wnblp78FeUYqlwagi4iIiDhByZSIiIiIE5RMFQGz2czLL7+M2Wwu7lCKxLXUX/W1bFJfyyb1tewq7v5qALqIiIiIE3RmSkRERMQJSqZEREREnKBkSkRERMQJSqZEREREnKBkqghMnDiRKlWq4OnpyY033sj69euLO6RLGjduHE2aNMHPz4/w8HDuuOMOdu7cadPGMAxeeuklypcvj5eXF+3atWP37t02bdLS0hg6dCghISH4+vrSo0cPTpw4YdPmzJkz9OvXD39/fwIDA3nggQdISkoq9D7m5c0338RkMjFixAhrWVnq69GjR7n33nsJCQnBy8uLevXqsWHDBmt9WelrdnY2L774ItHR0Xh5eVGtWjVee+01m9/jKs19XbFiBV27dqVChQqYTCbmzZtnU1+UfTt06BCdO3fG29ub8PBwRo0aRVZWVpH0NTMzk2eeeYZ69erh4+NDhQoVuP/++zl27FiZ6+vFHnnkEUwmE++//75NeVnq644dO+jWrRsBAQH4+PjQpEkTDh06VDL7akihmjlzpuHh4WF8+eWXxrZt24yHHnrICAwMNE6cOFHcoeWpffv2xtSpU41//vnHiI2NNTp16mRUrlzZSEpKsrZ58803jYCAAGPevHnG5s2bjW7duhnR0dFGamqqtc0jjzxiREZGGkuWLDE2bNhgNGvWzGjRooXNvjp06GA0aNDAWLt2rbFy5UqjevXqRt++fYusrxdav369UaVKFaN+/frG8OHDreVlpa9nzpwxoqKijAEDBhjr1q0z9u3bZyxatMjYs2dPmevr2LFjjZCQEGPBggXG/v37jdmzZxu+vr7GBx98UCb6unDhQuP55583fvjhBwMw5s6da1NfVH3LysoyrrvuOqNdu3bG33//bSxcuNAIDQ01Ro8eXSR9PXfunNGuXTvju+++M/79919jzZo1RtOmTY1GjRrZbKMs9PVCP/zwg9GgQQOjQoUKxnvvvVcm+7pnzx4jODjYGDVqlLFp0yZjz549xo8//mjz3VmS+qpkqpA1bdrUGDp0qPVxdna2UaFCBWPcuHHFGNWVOXnypAEYf/zxh2EYhpGTk2NEREQY48ePt7Y5d+6cYTabjW+//db62N3d3Zg9e7a1zY4dOwzAWLNmjWEYhrF9+3YDMP766y9rm19++cUwmUzG0aNHi6JrVufPnzdq1Khh/Pbbb0br1q2tyVRZ6uszzzxj3HTTTXnWl6W+du7c2Rg0aJBN2V133WX069fPMIyy1deLv4iKsm8LFy40XFxcjLi4OGubSZMmGf7+/kZ6enqh99WR9evXG4Bx8OBBwzDKXl+PHDliVKxY0fjnn3+MqKgom2SqLPW1d+/exr333pvnOiWtr7rMV4gyMjLYuHEj7dq1s5a5uLjQrl071qxZU4yRXZmEhAQAgoODAdi/fz9xcXE2/QoICODGG2+09mvjxo1kZmbatKlVqxaVK1e2tlmzZg2BgYE0btzY2qZdu3a4uLiwbt26Qu/XhYYOHUrnzp1t4oWy1df58+fTuHFjevbsSXh4OA0bNuSzzz6z1pelvrZo0YIlS5awa9cuADZv3syff/5Jx44dgbLV14sVZd/WrFlDvXr1KFeunLVN+/btSUxMZNu2bYXaz7wkJCRgMpkIDAwEylZfc3JyuO+++xg1ahR169a1qy8rfc3JyeHnn38mJiaG9u3bEx4ezo033mhzKbCk9VXJVCE6ffo02dnZNk8SQLly5YiLiyumqK5MTk4OI0aMoGXLllx33XUA1tgv1a+4uDg8PDysH2h5tQkPD7epd3NzIzg4uEiPz8yZM9m0aRPjxo2zqytLfd23bx+TJk2iRo0aLFq0iEcffZTHH3+c6dOnW2PMjftCpbGvzz77LH369KFWrVq4u7vTsGFDRowYQb9+/awx5sZ9odLY14sVZd/i4uIc7ufCOIpSWloazzzzDH379rX+2G1Z6utbb72Fm5sbjz/+uMP6stLXkydPkpSUxJtvvkmHDh1YvHgxd955J3fddRd//PGHNY6S1Fe3K+qhXHOGDh3KP//8w59//lncoRSKw4cPM3z4cH777Tc8PT2LO5xClZOTQ+PGjXnjjTcAaNiwIf/88w+TJ0+mf//+xRxdwZo1axYzZszgm2++oW7dusTGxjJixAgqVKhQ5voqFpmZmfTq1QvDMJg0aVJxh1PgNm7cyAcffMCmTZswmUzFHU6hysnJAaB79+488cQTAFx//fWsXr2ayZMn07p16+IMzyGdmSpEoaGhuLq62t1dcOLECSIiIoopqvwbNmwYCxYsYNmyZVSqVMlanhv7pfoVERFBRkYG586du2SbkydP2tRnZWVx5syZIjs+Gzdu5OTJk9xwww24ubnh5ubGH3/8wYcffoibm5v1P5Sy0Nfy5ctTp04dm7LatWtb744pS8/rqFGjrGen6tWrx3333ccTTzxhPftYlvp6saLsW0REhMP9XBhHUchNpA4ePMhvv/1mPSuVG0dZ6OvKlSs5efIklStXtn5WHTx4kCeffJIqVapY4ygLfQ0NDcXNze2yn1clqa9KpgqRh4cHjRo1YsmSJdaynJwclixZQvPmzYsxskszDINhw4Yxd+5cli5dSnR0tE19dHQ0ERERNv1KTExk3bp11n41atQId3d3mzY7d+7k0KFD1jbNmzfn3LlzbNy40dpm6dKl5OTkcOONNxZmF63atm3L1q1biY2NtS6NGzemX79+xMbGUrVq1TLT15YtW9pNcbFr1y6ioqKAsvW8pqSk4OJi+/Hm6upq/Y+3LPX1YkXZt+bNm7N161abL6zcZObiL8LCkptI7d69m99//52QkBCb+rLS1/vuu48tW7bYfFZVqFCBUaNGsWjRojLVVw8PD5o0aXLJz6sS19d8D1WXqzJz5kzDbDYb06ZNM7Zv3248/PDDRmBgoM2dAyXNo48+agQEBBjLly83jh8/bl1SUlKsbd58800jMDDQ+PHHH40tW7YY3bt3d3jrdeXKlY2lS5caGzZsMJo3b240b97cZl8dOnQwGjZsaKxbt874888/jRo1ahTb1Ai5LrybzzDKTl/Xr19vuLm5GWPHjjV2795tzJgxw/D29ja+/vrrMtfX/v37GxUrVrROjfDDDz8YoaGhxtNPP10m+nr+/Hnj77//Nv7++28DMN59913j77//tt7BVlR9y72t/PbbbzdiY2ONX3/91QgLCyvQW+gv1deMjAyjW7duRqVKlYzY2Fibz6sL78QqC3115OK7+cpSX3/44QfD3d3dmDJlirF7927jo48+MlxdXY2VK1eWyL4qmSoCH330kVG5cmXDw8PDaNq0qbF27driDumSAIfL1KlTrW1ycnKMF1980ShXrpxhNpuNtm3bGjt37rTZTmpqqjFkyBAjKCjI8Pb2Nu68807j+PHjNm3i4+ONvn37Gr6+voa/v78xcOBA4/z580XRzTxdnEyVpb7+9NNPxnXXXWeYzWajVq1axpQpU2zqy0pfExMTjeHDhxuVK1c2PD09japVqxrPP/+8zRdsae7rsmXLHL5H+/fvX+R9O3DggNGxY0fDy8vLCA0NNZ588kkjMzOzSPq6f//+PD+vli1bVqb66oijZKos9fWLL74wqlevbnh6ehoNGjQw5s2bV2L7ajKMC6YEFhEREZErojFTIiIiIk5QMiUiIiLiBCVTIiIiIk5QMiUiIiLiBCVTIiIiIk5QMiUiIiLiBCVTIiIiIk5QMiUipdaBAwcwmUzExsaWif2ISOmkZEpECs2AAQMwmUyYTCY8PDyoXr06Y8aMISsrq7hDK3C33HILJpOJN998066uc+fOmEwmXnnllaIPTEQKnZIpESlUHTp04Pjx4+zevZsnn3ySV155hfHjxxd3WIUiMjKSadOm2ZQdPXqUJUuWUL58+eIJSkQKnZIpESlUZrOZiIgIoqKiePTRR2nXrh3z588H4N1336VevXr4+PgQGRnJkCFDSEpKAiA5ORl/f3++//57m+3NmzcPHx8fzp8/73B/f/zxB02bNsVsNlO+fHmeffZZmzNhv/76KzfddBOBgYGEhITQpUsX9u7da7ON9evX07BhQzw9PWncuDF///13vvrapUsXTp8+zapVq6xl06dP5/bbbyc8PNym7VdffUXjxo3x8/MjIiKCe+65x+aX68+ePUu/fv0ICwvDy8uLGjVqMHXqVAAyMjIYNmwY5cuXx9PTk6ioKMaNG5evGEWk4CmZEpEi5eXlRUZGBgAuLi58+OGHbNu2jenTp7N06VKefvppAHx8fOjTp481gcg1depU7r77bvz8/Oy2ffToUTp16kSTJk3YvHkzkyZN4osvvuD111+3tklOTmbkyJFs2LCBJUuW4OLiwp133klOTg4ASUlJdOnShTp16rBx40ZeeeUVnnrqqXz1zcPDg379+tnEPG3aNAYNGmTXNjMzk9dee43Nmzczb948Dhw4wIABA6z1L774Itu3b+eXX35hx44dTJo0idDQUAA+/PBD5s+fz6xZs9i5cyczZsygSpUq+YpRRArBFf0ssojIFejfv7/RvXt3wzAMIycnx/jtt98Ms9lsPPXUUw7bz5492wgJCbE+XrduneHq6mocO3bMMAzDOHHihOHm5mYsX77cMAzD2L9/vwEYf//9t2EYhvHcc88ZNWvWNHJycqzbmDhxouHr62tkZ2c73OepU6cMwNi6dathGIbx6aefGiEhIUZqaqq1zaRJk2z240jr1q2N4cOHG7GxsYafn5+RlJRk/PHHH0Z4eLiRmZlpNGjQwHj55ZfzXP+vv/4yAOsv2nft2tUYOHCgw7aPPfaYceutt9r0U0SKj85MiUihWrBgAb6+vnh6etKxY0d69+5tHYj9+++/07ZtWypWrIifnx/33Xcf8fHxpKSkANC0aVPq1q3L9OnTAfj666+Jiori5ptvdrivHTt20Lx5c0wmk7WsZcuWJCUlceTIEQB2795N3759qVq1Kv7+/tYzOocOHbJuo379+nh6elq30bx583z3t0GDBtSoUYPvv/+eL7/8kvvuuw83Nze7dhs3bqRr165UrlwZPz8/WrdubRPHo48+ysyZM7n++ut5+umnWb16tXXdAQMGEBsbS82aNXn88cdZvHhxvuMTkYKnZEpEClWbNm2IjY1l9+7dpKamMn36dHx8fDhw4ABdunShfv36zJkzh40bNzJx4kQA62VAgAcffNA6qHvq1KkMHDjQJlm6Ul27duXMmTN89tlnrFu3jnXr1tnt01mDBg1i4sSJfP/99w4v8SUnJ9O+fXv8/f2ZMWMGf/31F3PnzrWJo2PHjhw8eJAnnniCY8eO0bZtW+vlxhtuuIH9+/fz2muvkZqaSq9evbj77rsLLH4RuTJKpkSkUPn4+FC9enUqV65sc4Zm48aN5OTk8M4779CsWTNiYmI4duyY3fr33nsvBw8e5MMPP2T79u30798/z33Vrl2bNWvWYBiGtWzVqlX4+flRqVIl4uPj2blzJy+88AJt27aldu3anD171m4bW7ZsIS0tzVq2du3aK+rzPffcw9atW7nuuuuoU6eOXf2///5LfHw8b775Jq1ataJWrVo2g89zhYWF0b9/f77++mvef/99pkyZYq3z9/end+/efPbZZ3z33XfMmTOHM2fOXFGcIlIwlEyJSLGoXr06mZmZfPTRR+zbt4+vvvqKyZMn27ULCgrirrvuYtSoUdx+++1UqlQpz20OGTKEw4cP89hjj/Hvv//y448/8vLLLzNy5EhcXFwICgoiJCSEKVOmsGfPHpYuXcrIkSNttnHPPfdgMpl46KGH2L59OwsXLmTChAlX1LegoCCOHz/OkiVLHNZXrlwZDw8Pa9/nz5/Pa6+9ZtPmpZde4scff2TPnj1s27aNBQsWULt2bcByF+S3337Lv//+y65du5g9ezYREREEBgZeUZwiUjCUTIlIsWjQoAHvvvsub731Ftdddx0zZszI8/b+Bx54gIyMDIeXzC5UsWJFFi5cyPr162nQoAGPPPIIDzzwAC+88AJguXtw5syZbNy4keuuu44nnnjCbs4rX19ffvrpJ7Zu3UrDhg15/vnneeutt664f4GBgfj4+DisCwsLY9q0acyePZs6derw5ptv2iVsHh4ejB49mvr163PzzTfj6urKzJkzAfDz8+Ptt9+mcePGNGnShAMHDrBw4UJcXPSRLlIcTMaF58NFREqgr776yjp2yMPDo7jDERGxYX+LiYhICZGSksLx48d58803GTx4sBIpESmRdE5YREqst99+m1q1ahEREcHo0aOLOxwREYd0mU9ERETECTozJSIiIuIEJVMiIiIiTlAyJSIiIuIEJVMiIiIiTlAyJSIiIuIEJVMiIiIiTlAyJSIiIuIEJVMiIiIiTlAyJSIiIuKE/wOy76RsHTnCVQAAAABJRU5ErkJggg=="
          },
          "metadata": {}
        }
      ],
      "execution_count": 33
    },
    {
      "cell_type": "markdown",
      "source": "With heavy payloads the successful landing or positive landing rate are more for Polar,LEO and ISS.\n\nHowever for GTO we cannot distinguish this well as both positive landing rate and negative landing(unsuccessful mission) are both there here.\n",
      "metadata": {}
    },
    {
      "cell_type": "code",
      "source": "### TASK  6: Visualize the launch success yearly trend",
      "metadata": {
        "trusted": true
      },
      "outputs": [],
      "execution_count": 34
    },
    {
      "cell_type": "markdown",
      "source": "You can plot a line chart with x axis to be <code>Year</code> and y axis to be average success rate, to get the average launch success trend.\n",
      "metadata": {}
    },
    {
      "cell_type": "markdown",
      "source": "The function will help you get the year from the date:\n",
      "metadata": {}
    },
    {
      "cell_type": "code",
      "source": "# A function to Extract years from the date \nyear=[]\ndef Extract_year():\n    for i in df[\"Date\"]:\n        year.append(i.split(\"-\")[0])\n    return year\nExtract_year()\ndf['Date'] = year\ndf.head()\n    ",
      "metadata": {
        "trusted": true
      },
      "outputs": [
        {
          "execution_count": 35,
          "output_type": "execute_result",
          "data": {
            "text/plain": "   FlightNumber  Date BoosterVersion  PayloadMass Orbit    LaunchSite  \\\n0             1  2010       Falcon 9  6104.959412   LEO  CCAFS SLC 40   \n1             2  2012       Falcon 9   525.000000   LEO  CCAFS SLC 40   \n2             3  2013       Falcon 9   677.000000   ISS  CCAFS SLC 40   \n3             4  2013       Falcon 9   500.000000    PO   VAFB SLC 4E   \n4             5  2013       Falcon 9  3170.000000   GTO  CCAFS SLC 40   \n\n       Outcome  Flights  GridFins  Reused   Legs LandingPad  Block  \\\n0    None None        1     False   False  False        NaN    1.0   \n1    None None        1     False   False  False        NaN    1.0   \n2    None None        1     False   False  False        NaN    1.0   \n3  False Ocean        1     False   False  False        NaN    1.0   \n4    None None        1     False   False  False        NaN    1.0   \n\n   ReusedCount Serial   Longitude   Latitude  Class  \n0            0  B0003  -80.577366  28.561857      0  \n1            0  B0005  -80.577366  28.561857      0  \n2            0  B0007  -80.577366  28.561857      0  \n3            0  B1003 -120.610829  34.632093      0  \n4            0  B1004  -80.577366  28.561857      0  ",
            "text/html": "<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>FlightNumber</th>\n      <th>Date</th>\n      <th>BoosterVersion</th>\n      <th>PayloadMass</th>\n      <th>Orbit</th>\n      <th>LaunchSite</th>\n      <th>Outcome</th>\n      <th>Flights</th>\n      <th>GridFins</th>\n      <th>Reused</th>\n      <th>Legs</th>\n      <th>LandingPad</th>\n      <th>Block</th>\n      <th>ReusedCount</th>\n      <th>Serial</th>\n      <th>Longitude</th>\n      <th>Latitude</th>\n      <th>Class</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1</td>\n      <td>2010</td>\n      <td>Falcon 9</td>\n      <td>6104.959412</td>\n      <td>LEO</td>\n      <td>CCAFS SLC 40</td>\n      <td>None None</td>\n      <td>1</td>\n      <td>False</td>\n      <td>False</td>\n      <td>False</td>\n      <td>NaN</td>\n      <td>1.0</td>\n      <td>0</td>\n      <td>B0003</td>\n      <td>-80.577366</td>\n      <td>28.561857</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2</td>\n      <td>2012</td>\n      <td>Falcon 9</td>\n      <td>525.000000</td>\n      <td>LEO</td>\n      <td>CCAFS SLC 40</td>\n      <td>None None</td>\n      <td>1</td>\n      <td>False</td>\n      <td>False</td>\n      <td>False</td>\n      <td>NaN</td>\n      <td>1.0</td>\n      <td>0</td>\n      <td>B0005</td>\n      <td>-80.577366</td>\n      <td>28.561857</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>3</td>\n      <td>2013</td>\n      <td>Falcon 9</td>\n      <td>677.000000</td>\n      <td>ISS</td>\n      <td>CCAFS SLC 40</td>\n      <td>None None</td>\n      <td>1</td>\n      <td>False</td>\n      <td>False</td>\n      <td>False</td>\n      <td>NaN</td>\n      <td>1.0</td>\n      <td>0</td>\n      <td>B0007</td>\n      <td>-80.577366</td>\n      <td>28.561857</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>4</td>\n      <td>2013</td>\n      <td>Falcon 9</td>\n      <td>500.000000</td>\n      <td>PO</td>\n      <td>VAFB SLC 4E</td>\n      <td>False Ocean</td>\n      <td>1</td>\n      <td>False</td>\n      <td>False</td>\n      <td>False</td>\n      <td>NaN</td>\n      <td>1.0</td>\n      <td>0</td>\n      <td>B1003</td>\n      <td>-120.610829</td>\n      <td>34.632093</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>5</td>\n      <td>2013</td>\n      <td>Falcon 9</td>\n      <td>3170.000000</td>\n      <td>GTO</td>\n      <td>CCAFS SLC 40</td>\n      <td>None None</td>\n      <td>1</td>\n      <td>False</td>\n      <td>False</td>\n      <td>False</td>\n      <td>NaN</td>\n      <td>1.0</td>\n      <td>0</td>\n      <td>B1004</td>\n      <td>-80.577366</td>\n      <td>28.561857</td>\n      <td>0</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
          },
          "metadata": {}
        }
      ],
      "execution_count": 35
    },
    {
      "cell_type": "code",
      "source": "# Plot a line chart with x axis to be the extracted year and y axis to be the success rate\nplt.figure(figsize=(15, 6))\nsns.lineplot(data=df, x=\"Date\", y=\"Class\")\nplt.xlabel(\"Year\")\nplt.ylabel(\"Success rate\")\nplt.title(\"The launch success yearly trend\")\nplt.show()",
      "metadata": {
        "trusted": true
      },
      "outputs": [
        {
          "output_type": "display_data",
          "data": {
            "text/plain": "<Figure size 1500x600 with 1 Axes>",
            "image/png": 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          },
          "metadata": {}
        }
      ],
      "execution_count": 40
    },
    {
      "cell_type": "markdown",
      "source": "you can observe that the sucess rate since 2013 kept increasing till 2020\n",
      "metadata": {}
    },
    {
      "cell_type": "code",
      "source": "## Features Engineering\n",
      "metadata": {},
      "outputs": [],
      "execution_count": null
    },
    {
      "cell_type": "markdown",
      "source": "By now, you should obtain some preliminary insights about how each important variable would affect the success rate, we will select the features that will be used in success prediction in the future module.\n",
      "metadata": {}
    },
    {
      "cell_type": "code",
      "source": "features = df[['FlightNumber', 'PayloadMass', 'Orbit', 'LaunchSite', 'Flights', 'GridFins', 'Reused', 'Legs', 'LandingPad', 'Block', 'ReusedCount', 'Serial']]\nfeatures.head()",
      "metadata": {
        "trusted": true
      },
      "outputs": [
        {
          "execution_count": 41,
          "output_type": "execute_result",
          "data": {
            "text/plain": "   FlightNumber  PayloadMass Orbit    LaunchSite  Flights  GridFins  Reused  \\\n0             1  6104.959412   LEO  CCAFS SLC 40        1     False   False   \n1             2   525.000000   LEO  CCAFS SLC 40        1     False   False   \n2             3   677.000000   ISS  CCAFS SLC 40        1     False   False   \n3             4   500.000000    PO   VAFB SLC 4E        1     False   False   \n4             5  3170.000000   GTO  CCAFS SLC 40        1     False   False   \n\n    Legs LandingPad  Block  ReusedCount Serial  \n0  False        NaN    1.0            0  B0003  \n1  False        NaN    1.0            0  B0005  \n2  False        NaN    1.0            0  B0007  \n3  False        NaN    1.0            0  B1003  \n4  False        NaN    1.0            0  B1004  ",
            "text/html": "<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>FlightNumber</th>\n      <th>PayloadMass</th>\n      <th>Orbit</th>\n      <th>LaunchSite</th>\n      <th>Flights</th>\n      <th>GridFins</th>\n      <th>Reused</th>\n      <th>Legs</th>\n      <th>LandingPad</th>\n      <th>Block</th>\n      <th>ReusedCount</th>\n      <th>Serial</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1</td>\n      <td>6104.959412</td>\n      <td>LEO</td>\n      <td>CCAFS SLC 40</td>\n      <td>1</td>\n      <td>False</td>\n      <td>False</td>\n      <td>False</td>\n      <td>NaN</td>\n      <td>1.0</td>\n      <td>0</td>\n      <td>B0003</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2</td>\n      <td>525.000000</td>\n      <td>LEO</td>\n      <td>CCAFS SLC 40</td>\n      <td>1</td>\n      <td>False</td>\n      <td>False</td>\n      <td>False</td>\n      <td>NaN</td>\n      <td>1.0</td>\n      <td>0</td>\n      <td>B0005</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>3</td>\n      <td>677.000000</td>\n      <td>ISS</td>\n      <td>CCAFS SLC 40</td>\n      <td>1</td>\n      <td>False</td>\n      <td>False</td>\n      <td>False</td>\n      <td>NaN</td>\n      <td>1.0</td>\n      <td>0</td>\n      <td>B0007</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>4</td>\n      <td>500.000000</td>\n      <td>PO</td>\n      <td>VAFB SLC 4E</td>\n      <td>1</td>\n      <td>False</td>\n      <td>False</td>\n      <td>False</td>\n      <td>NaN</td>\n      <td>1.0</td>\n      <td>0</td>\n      <td>B1003</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>5</td>\n      <td>3170.000000</td>\n      <td>GTO</td>\n      <td>CCAFS SLC 40</td>\n      <td>1</td>\n      <td>False</td>\n      <td>False</td>\n      <td>False</td>\n      <td>NaN</td>\n      <td>1.0</td>\n      <td>0</td>\n      <td>B1004</td>\n    </tr>\n  </tbody>\n</table>\n</div>"
          },
          "metadata": {}
        }
      ],
      "execution_count": 41
    },
    {
      "cell_type": "code",
      "source": "### TASK  7: Create dummy variables to categorical columns\nfeatures_one_hot = pd.get_dummies(features)\n# features_one_hot = pd.concat([features, features_one_hot], axis=1)\nfeatures_one_hot.head()",
      "metadata": {
        "trusted": true
      },
      "outputs": [
        {
          "execution_count": 75,
          "output_type": "execute_result",
          "data": {
            "text/plain": "   FlightNumber  PayloadMass  Flights  GridFins  Reused   Legs  Block  \\\n0             1  6104.959412        1     False   False  False    1.0   \n1             2   525.000000        1     False   False  False    1.0   \n2             3   677.000000        1     False   False  False    1.0   \n3             4   500.000000        1     False   False  False    1.0   \n4             5  3170.000000        1     False   False  False    1.0   \n\n   ReusedCount  Orbit_ES-L1  Orbit_GEO  ...  Serial_B1048  Serial_B1049  \\\n0            0            0          0  ...             0             0   \n1            0            0          0  ...             0             0   \n2            0            0          0  ...             0             0   \n3            0            0          0  ...             0             0   \n4            0            0          0  ...             0             0   \n\n   Serial_B1050  Serial_B1051  Serial_B1054  Serial_B1056  Serial_B1058  \\\n0             0             0             0             0             0   \n1             0             0             0             0             0   \n2             0             0             0             0             0   \n3             0             0             0             0             0   \n4             0             0             0             0             0   \n\n   Serial_B1059  Serial_B1060  Serial_B1062  \n0             0             0             0  \n1             0             0             0  \n2             0             0             0  \n3             0             0             0  \n4             0             0             0  \n\n[5 rows x 80 columns]",
            "text/html": "<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>FlightNumber</th>\n      <th>PayloadMass</th>\n      <th>Flights</th>\n      <th>GridFins</th>\n      <th>Reused</th>\n      <th>Legs</th>\n      <th>Block</th>\n      <th>ReusedCount</th>\n      <th>Orbit_ES-L1</th>\n      <th>Orbit_GEO</th>\n      <th>...</th>\n      <th>Serial_B1048</th>\n      <th>Serial_B1049</th>\n      <th>Serial_B1050</th>\n      <th>Serial_B1051</th>\n      <th>Serial_B1054</th>\n      <th>Serial_B1056</th>\n      <th>Serial_B1058</th>\n      <th>Serial_B1059</th>\n      <th>Serial_B1060</th>\n      <th>Serial_B1062</th>\n    </tr>\n  </thead>\n  <tbody>\n    <tr>\n      <th>0</th>\n      <td>1</td>\n      <td>6104.959412</td>\n      <td>1</td>\n      <td>False</td>\n      <td>False</td>\n      <td>False</td>\n      <td>1.0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>1</th>\n      <td>2</td>\n      <td>525.000000</td>\n      <td>1</td>\n      <td>False</td>\n      <td>False</td>\n      <td>False</td>\n      <td>1.0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>2</th>\n      <td>3</td>\n      <td>677.000000</td>\n      <td>1</td>\n      <td>False</td>\n      <td>False</td>\n      <td>False</td>\n      <td>1.0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>3</th>\n      <td>4</td>\n      <td>500.000000</td>\n      <td>1</td>\n      <td>False</td>\n      <td>False</td>\n      <td>False</td>\n      <td>1.0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n    <tr>\n      <th>4</th>\n      <td>5</td>\n      <td>3170.000000</td>\n      <td>1</td>\n      <td>False</td>\n      <td>False</td>\n      <td>False</td>\n      <td>1.0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>...</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n      <td>0</td>\n    </tr>\n  </tbody>\n</table>\n<p>5 rows × 80 columns</p>\n</div>"
          },
          "metadata": {}
        }
      ],
      "execution_count": 75
    },
    {
      "cell_type": "markdown",
      "source": "Use the function <code>get_dummies</code> and <code>features</code> dataframe to apply OneHotEncoder to the column <code>Orbits</code>, <code>LaunchSite</code>, <code>LandingPad</code>, and <code>Serial</code>. Assign the value to the variable <code>features_one_hot</code>, display the results using the method head. Your result dataframe must include all features including the encoded ones.\n",
      "metadata": {}
    },
    {
      "cell_type": "code",
      "source": "# HINT: Use get_dummies() function on the categorical columns",
      "metadata": {},
      "outputs": [],
      "execution_count": null
    },
    {
      "cell_type": "code",
      "source": "### TASK  8: Cast all numeric columns to `float64`\nint_columns = features_one_hot.columns\nfor column in features_one_hot.columns:\n    if column in ['Orbit', 'LaunchSite', 'LandingPad', 'Serial']:\n        pass\n    else:\n        features_one_hot[column] = features_one_hot[column].astype('float64')",
      "metadata": {
        "trusted": true
      },
      "outputs": [],
      "execution_count": 76
    },
    {
      "cell_type": "markdown",
      "source": "Now that our <code>features_one_hot</code> dataframe only contains numbers cast the entire dataframe to variable type <code>float64</code>\n",
      "metadata": {}
    },
    {
      "cell_type": "code",
      "source": "# HINT: use astype function",
      "metadata": {},
      "outputs": [],
      "execution_count": null
    },
    {
      "cell_type": "markdown",
      "source": "We can now export it to a <b>CSV</b> for the next section,but to make the answers consistent, in the next lab we will provide data in a pre-selected date range.\n",
      "metadata": {}
    },
    {
      "cell_type": "markdown",
      "source": "<code>features_one_hot.to_csv('dataset_part\\_3.csv', index=False)</code>\n",
      "metadata": {}
    },
    {
      "cell_type": "code",
      "source": "features_one_hot.to_csv('dataset_part_3.csv', index=False)",
      "metadata": {
        "trusted": true
      },
      "outputs": [],
      "execution_count": null
    },
    {
      "cell_type": "markdown",
      "source": "## Authors\n",
      "metadata": {}
    },
    {
      "cell_type": "markdown",
      "source": "[Pratiksha Verma](https://www.linkedin.com/in/pratiksha-verma-6487561b1/?utm_medium=Exinfluencer&utm_source=Exinfluencer&utm_content=000026UJ&utm_term=10006555&utm_id=NA-SkillsNetwork-Channel-SkillsNetworkCoursesIBMDS0321ENSkillsNetwork865-2022-01-01)\n",
      "metadata": {}
    },
    {
      "cell_type": "markdown",
      "source": "## Change Log\n",
      "metadata": {}
    },
    {
      "cell_type": "markdown",
      "source": "| Date (YYYY-MM-DD) | Version | Changed By      | Change Description      |\n| ----------------- | ------- | -------------   | ----------------------- |\n| 2022-11-09        | 1.0     | Pratiksha Verma | Converted initial version to Jupyterlite|\n",
      "metadata": {}
    },
    {
      "cell_type": "markdown",
      "source": "### <h3 align=\"center\"> IBM Corporation 2022. All rights reserved. <h3/>\n",
      "metadata": {}
    }
  ]
}