How to use the beamngpy.Scenario function in beamngpy

def test_damage(beamng):
    scenario = Scenario('smallgrid', 'damage_test')
    dummy = Vehicle('dummy', model='pickup')
    scenario.add_vehicle(dummy, pos=(0, 0, 0))
    scenario.make(beamng)

    vehicle = Vehicle('test_car', model='etk800')
    damage = Damage()
    vehicle.attach_sensor('damage', damage)

    with beamng as bng:
        bng.load_scenario(scenario)
        bng.start_scenario()

        scenario.add_vehicle(vehicle, pos=(0, 0, 32), rot=(-90, 0, 0),
                             cling=False)

        bng.step(600)

def test_vehicle_move(beamng):
    with beamng as bng:
        bng.set_deterministic()

        scenario = Scenario('smallgrid', 'move_test')
        vehicle = Vehicle('test_car', model='etk800')
        scenario.add_vehicle(vehicle, pos=(0, 0, 0), rot=(0, 0, 0))
        scenario.make(bng)
        bng.load_scenario(scenario)
        bng.start_scenario()
        bng.pause()
        vehicle.control(throttle=1)
        bng.step(120)
        vehicle.update_vehicle()
        assert np.linalg.norm(vehicle.state['pos']) > 1

    scenario.delete(beamng)

def test_electrics(beamng):
    scenario = Scenario('smallgrid', 'electrics_test')
    vehicle = Vehicle('test_car', model='etk800')

    electrics = Electrics()
    vehicle.attach_sensor('electrics', electrics)

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

    with beamng as bng:
        bng.load_scenario(scenario)
        bng.start_scenario()
        bng.step(120)

        vehicle.control(throttle=1.0)

        bng.step(360)

def test_new_scenario(beamng):
    with beamng as bng:
        scenario = Scenario('smallgrid', 'test_scenario')
        vehicle = Vehicle('test_car', model='etk800')
        scenario.add_vehicle(vehicle, pos=(0, 0, 0), rot=(0, 0, 0))
        scenario.make(bng)
        bng.load_scenario(scenario)
        assert bng.get_scenario_name() == 'test_scenario'

    scenario.delete(beamng)

    with beamng as bng:
        with pytest.raises(BNGValueError):
            bng.load_scenario(scenario)

def test_vehicle_spawn(beamng):
    scenario = Scenario('smallgrid', 'spawn_test')
    vehicle = Vehicle('irrelevant', model='pickup')
    scenario.add_vehicle(vehicle, pos=(0, 0, 0), rot=(0, 0, 0))
    scenario.make(beamng)

    with beamng as bng:
        bng.load_scenario(scenario)
        bng.start_scenario()

        other = Vehicle('relevant', model='etk800')
        scenario.add_vehicle(other, pos=(10, 10, 0), rot=(0, 0, 0))
        other.update_vehicle()
        assert 'pos' in other.state
        bng.step(120)
        scenario.remove_vehicle(other)
        bng.step(600)
        assert other.state is None

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,
                          colour=True, depth=True, annotation=True)
    pos = (0.0, 3, 1.0)
    direction = (0, -1, 0)

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)
        lidar_vis = LidarVisualiser(Lidar.max_points)

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
            #  filled in automatically.