How to use the beamngpy.BeamNGpy function in beamngpy

def beamng():
    beamng = BeamNGpy('localhost', 64256)
    return beamng

def beamng():
    beamng = BeamNGpy('localhost', 64256)
    return beamng

def beamng():
    beamng = BeamNGpy('localhost', 64256)
    return beamng

def main():
    beamng = BeamNGpy('localhost', 64256)

    scenario = Scenario('GridMap', 'road_test')
    road_a = Road('track_editor_C_center', rid='circle_road', looped=True)
    nodes = [
        (-25, 300, 0, 5),
        (25, 300, 0, 6),
        (25, 350, 0, 4),
        (-25, 350, 0, 5),
    ]
    road_a.nodes.extend(nodes)
    scenario.add_road(road_a)

    road_b = Road('track_editor_C_center', rid='center_road')
    nodes = [
        (0, 325, 0, 5),
        (50, 375, 0, 5),

setup_logging()

    # Plotting code setting up a 3x2 figure
    fig = plt.figure(1, figsize=(10, 5))
    axarr = fig.subplots(2, 3)

    a_colour = axarr[0, 0]
    b_colour = axarr[1, 0]
    a_depth = axarr[0, 1]
    b_depth = axarr[1, 1]
    a_annot = axarr[0, 2]
    b_annot = axarr[1, 2]

    plt.ion()

    beamng = BeamNGpy('localhost', 64256)

    # Create a scenario in west_coast_usa
    scenario = Scenario('west_coast_usa', 'research_test',
                        description='Random driving for research')

    # Set up first vehicle, with two cameras, gforces sensor, lidar, electrical
    # sensors, and damage sensors
    vehicle = Vehicle('ego_vehicle', model='etk800',
                      licence='RED', color='Red')

    # Set up sensors
    pos = (-0.3, 1, 1.0)
    direction = (0, 1, 0)
    fov = 120
    resolution = (512, 512)
    front_camera = Camera(pos, direction, fov, resolution,

def main():
    setup_logging()

    beamng = BeamNGpy('localhost', 64256)
    scenario = Scenario('west_coast_usa', 'lidar_tour',
                        description='Tour through the west coast gathering '
                                    'Lidar data')

    vehicle = Vehicle('ego_vehicle', model='etk800', licence='LIDAR')
    lidar = Lidar()
    vehicle.attach_sensor('lidar', lidar)

    scenario.add_vehicle(vehicle, pos=(-717.121, 101, 118.675), rot=(0, 0, 45))
    scenario.make(beamng)

    bng = beamng.open(launch=True)
    try:
        bng.load_scenario(scenario)

        window = open_window(SIZE, SIZE)

def main():
    setup_logging()

    beamng = BeamNGpy('localhost', 64256)
    scenario = Scenario('west_coast_usa', 'ai_sine')

    vehicle = Vehicle('ego_vehicle', model='etk800', licence='AI')

    orig = (-769.1, 400.8, 142.8)

    scenario.add_vehicle(vehicle, pos=orig, rot=(0, 0, 180))
    scenario.make(beamng)

    script = list()
    for i in range(3600):
        node = {
            #  Calculate the position as a sinus curve that makes the vehicle
            #  drive from left to right. The z-coordinate is not calculated in
            #  any way because `ai_set_script` by default makes the polyline to
            #  follow cling to the ground, meaning the z-coordinate will be