def METHOD_NAME() -> None:
    instru = p.Instrumentation(p.Scalar(), 3, b=p.Choice([0, 1, 2, 3]), a=p.TransitionChoice([0, 1, 2, 3]))
    np.testing.assert_equal(instru.dimension, 6)
    instru2 = p.Instrumentation(p.Scalar(), 3, b=p.Choice([0, 1, 2, 3]), a=p.TransitionChoice([0, 1, 2, 3]))
    np.testing.assert_equal(instru2.dimension, 6)
    data = instru2.spawn_child(new_value=((4, 3), dict(a=0, b=3))).get_standardized_data(reference=instru2)
    np.testing.assert_array_almost_equal(data, [4, -1.1503, 0, 0, 0, 0.5878], decimal=4)
    child = instru.spawn_child()
    with p.helpers.deterministic_sampling(child):
        args, kwargs = child.set_standardized_data(data).value
    assert (args, kwargs) == ((4.0, 3), {"a": 0, "b": 3})
    assert "3),Dict(a=TransitionChoice(choices=Tuple(0,1,2,3)," in repr(
        instru
    ), f"Erroneous representation {instru}"
    # check deterministic
    data = np.array([0.0, 0, 0, 0, 0, 0])
    total = 0
    for _ in range(24):
        child = instru.spawn_child()
        with p.helpers.deterministic_sampling(child):
            total += child.set_standardized_data(data).kwargs["b"]
    np.testing.assert_equal(total, 0)
    # check stochastic
    for _ in range(24):
        total += instru.spawn_child().set_standardized_data(data).kwargs["b"]
    assert total != 0
    # check duplicate
    # instru2 = mvar.Instrumentation(*instru.args, **instru.kwargs)  # TODO: OUCH SILENT FAIL
    instru2.copy()
    data = np.random.normal(0, 1, size=6)
    values: tp.List[tp.Any] = []
    for val_instru in [instru, instru2]:
        child = val_instru.spawn_child()
        with p.helpers.deterministic_sampling(child):
            values.append(child.set_standardized_data(data).value)
    assert values[0] == values[1]
    # check naming
    instru_str = (
        "Instrumentation(Tuple(Scalar[sigma=Scalar{exp=2.03}],3),"
        "Dict(a=TransitionChoice(choices=Tuple(0,1,2,3),"
        "indices=Array{Cd(0,4),Add,Int},transitions=[1. 1.]),"
        "b=Choice(choices=Tuple(0,1,2,3),indices=Array{(1,4),SoftmaxSampling})))"
    )
    assert instru.name == instru_str
    assert instru.set_name("blublu").name == "blublu"