def METHOD_NAME():
    # spot check conversion of acceptable human-ish values
    float_steps = (1 / 255, 2 / 255, 3 / 255, 4 / 255)
    assert Color.from_normalized(float_steps[:3]) == (1, 2, 3, 255)
    assert Color.from_normalized(float_steps) == (1, 2, 3, 4)
    # some helper callables
    at_least_one_bad = at_least_one_in(BAD_NORMALIZED)
    def local_convert(i: Iterable[float]) -> Tuple[int]:
        """Local helper converter, normalized float to byte ints"""
        return tuple(math.floor(c * 255) for c in i)
    for good_rgb_channels in product(OK_NORMALIZED, repeat=3):
        expected = local_convert(good_rgb_channels) + (255,)
        assert Color.from_normalized(good_rgb_channels) == expected
    for good_rgba_channels in product(OK_NORMALIZED, repeat=4):
        expected = local_convert(good_rgba_channels)
        assert Color.from_normalized(good_rgba_channels) == expected
    for bad_rgb_channels in filter(at_least_one_bad, product(MIXED_NORMALIZED, repeat=3)):
        with pytest.raises(ValueError):
            Color.from_normalized(bad_rgb_channels)
    for bad_rgba_channels in filter(at_least_one_bad, product(MIXED_NORMALIZED, repeat=4)):
        with pytest.raises(ValueError):
            Color.from_normalized(bad_rgba_channels)