def insert_table(world: scenario_gazebo.World) -> scenario_gazebo.Model:

    # Insert objects from Fuel
    uri = lambda org, name: f"https://fuel.ignitionrobotics.org/{org}/models/{name}"

    # Download the cube SDF file
    bucket_sdf = scenario_gazebo.get_model_file_from_fuel(
        uri=uri(org="OpenRobotics", name="Table"), use_cache=False
    )

    # Assign a custom name to the model
    model_name = "table"

    # Insert the model
    assert world.insert_model(bucket_sdf, scenario_core.Pose_identity(), model_name)

    # Return the model
    return world.get_model(model_name=model_name)
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def get_model(gazebo: scenario.GazeboSimulator,
              gym_ignition_models_name: str) -> scenario.Model:

    # Get the world and cast it to a Gazebo world
    world = gazebo.get_world().to_gazebo()

    assert world.set_physics_engine(scenario.PhysicsEngine_dart)

    model_urdf = gym_ignition_models.get_model_file(gym_ignition_models_name)

    assert world.insert_model(model_urdf, core.Pose_identity(),
                              gym_ignition_models_name)

    # Get the model and cast it to a Gazebo model
    model = world.get_model(gym_ignition_models_name).to_gazebo()
    assert model.id() != 0
    assert model.valid()

    return model
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def test_download_model_from_fuel(gazebo: scenario.GazeboSimulator):

    assert gazebo.initialize()

    # Get the default world
    world = gazebo.get_world()

    # Download a model from Fuel (testing a name with spaces)
    model_name = "Electrical Box"
    model_sdf = scenario.get_model_file_from_fuel(
        f"https://fuel.ignitionrobotics.org/openrobotics/models/{model_name}", False
    )
    assert model_sdf

    assert world.insert_model(model_sdf, core.Pose_identity())
    assert model_name in world.model_names()

    # Insert another model changing its name
    other_model_name = "my_box"
    other_model_pose = core.Pose([3.0, 0.0, 0.0], [1.0, 0, 0, 0])
    assert world.insert_model(model_sdf, other_model_pose, other_model_name)
    assert other_model_name in world.model_names()

    assert gazebo.run()
def test_computed_torque_fixed_base(gazebo: scenario.GazeboSimulator):

    assert gazebo.initialize()
    step_size = gazebo.step_size()

    # Get the default world
    world = gazebo.get_world()

    # Insert the physics
    assert world.set_physics_engine(scenario.PhysicsEngine_dart)

    # Get the panda urdf
    panda_urdf = gym_ignition_models.get_model_file("panda")

    # Insert the panda arm
    model_name = "panda"
    assert world.insert_model(panda_urdf, core.Pose_identity(), model_name)

    # import time
    # gazebo.gui()
    # time.sleep(3)
    # gazebo.run(paused=True)

    # Get the model
    panda = world.get_model(model_name).to_gazebo()

    # Set the controller period
    panda.set_controller_period(step_size)

    # Insert the controller
    assert panda.insert_model_plugin(*controllers.ComputedTorqueFixedBase(
        kp=[10.0] * panda.dofs(),
        ki=[0.0] * panda.dofs(),
        kd=[3.0] * panda.dofs(),
        urdf=panda_urdf,
        joints=panda.joint_names(),
    ).args())

    # Set the references
    assert panda.set_joint_position_targets([0.0] * panda.dofs())
    assert panda.set_joint_velocity_targets([0.0] * panda.dofs())
    assert panda.set_joint_acceleration_targets([0.0] * panda.dofs())

    joints_no_fingers = [
        j for j in panda.joint_names() if j.startswith("panda_joint")
    ]
    nr_of_joints = len(joints_no_fingers)
    assert nr_of_joints > 0

    # Reset the joints state
    q0 = [np.deg2rad(45)] * nr_of_joints
    dq0 = [0.1] * nr_of_joints
    assert panda.reset_joint_positions(q0, joints_no_fingers)
    assert panda.reset_joint_velocities(dq0, joints_no_fingers)

    assert gazebo.run(True)
    assert panda.joint_positions(joints_no_fingers) == pytest.approx(q0)
    assert panda.joint_velocities(joints_no_fingers) == pytest.approx(dq0)

    # Step the simulator for a couple of seconds
    for _ in range(3000):
        gazebo.run()

    # Check that the the references have been reached
    assert panda.joint_positions() == pytest.approx(
        panda.joint_position_targets(), abs=np.deg2rad(1))
    assert panda.joint_velocities() == pytest.approx(
        panda.joint_velocity_targets(), abs=0.05)

    # Apply an external force
    assert (panda.get_link("panda_link4").to_gazebo().apply_world_force(
        [100.0, 0, 0], 0.5))

    for _ in range(4000):
        assert gazebo.run()

    # Check that the the references have been reached
    assert panda.joint_positions() == pytest.approx(
        panda.joint_position_targets(), abs=np.deg2rad(1))
    assert panda.joint_velocities() == pytest.approx(
        panda.joint_velocity_targets(), abs=0.05)
def test_actuation_delay():

    # Get the simulator and the world
    gazebo, world = init_gazebo_sim(step_size=0.001,
                                    real_time_factor=1.0,
                                    steps_per_run=1)

    # Get the panda urdf
    panda_urdf = gym_ignition_models.get_model_file("panda")

    # Insert the panda arm
    model_name = "panda"
    assert world.insert_model(panda_urdf, scenario_core.Pose_identity(),
                              model_name)

    # Get the model
    panda = world.get_model(model_name)

    assert panda.valid()
    assert gazebo.run(paused=True)

    # Then, insert the actuation delay plugin.
    # IMPORTANT: it has to be added BEFORE switching to position control mode!
    actuation_delay = plugins.ActuationDelay(delay=50)
    assert panda.to_gazebo().insert_model_plugin(*actuation_delay.args())

    # Set the controller period equal to the physics step (1000Hz)
    panda.set_controller_period(gazebo.step_size())

    # Check that we have gains for all joints
    assert set(panda.joint_names()) == set(panda_pid_gains_1000Hz.keys())

    # Set the PID gains
    for joint_name, pid in panda_pid_gains_1000Hz.items():
        assert panda.get_joint(joint_name).set_pid(pid=pid)

    # Reset joint1 to its middle position
    joint1 = panda.get_joint("panda_joint1").to_gazebo()
    joint1_range = np.abs(joint1.position_limit().max -
                          joint1.position_limit().min)
    joint1_middle = joint1.position_limit().min + joint1_range / 2
    assert joint1.reset_position(joint1_middle)

    # Control the model in position. It sets the current position as new target.
    assert panda.set_joint_control_mode(
        scenario_core.JointControlMode_position)

    # Get the current positions
    q0 = panda.joint_positions()

    # Build a new reference for a single joint
    q0_j1 = joint1.position()
    q_j1 = (0.9 * joint1_range / 2 * np.sin(2 * np.pi * 0.33 * t)
            for t in np.arange(start=0, stop=10.0, step=gazebo.step_size()))

    # Create a queue
    queue = Queue(maxsize=actuation_delay.delay)

    for _ in range(actuation_delay.delay):

        # Start applying the new target
        j1_ref = q0_j1 + next(q_j1)
        assert joint1.set_position_target(position=j1_ref)

        # Store the references in the queue
        queue.put_nowait(j1_ref)

        assert gazebo.run()

        # Check that the robot didn't move
        assert panda.joint_positions() == pytest.approx(q0, abs=np.deg2rad(1))

    for _ in range(2_000):

        # Continue applying the
        j1_ref = q0_j1 + next(q_j1)
        assert joint1.set_position_target(position=j1_ref)

        assert gazebo.run()

        # Compare the current position with the delayed target (popping it)
        assert joint1.position() == pytest.approx(queue.get_nowait(),
                                                  abs=np.deg2rad(1))

        # Add the new target
        queue.put_nowait(j1_ref)