def METHOD_NAME(art_warning, image_dl_estimator_for_attack):
    try:
        classifier = image_dl_estimator_for_attack(OverTheAirFlickeringPyTorch)
        with pytest.raises(ValueError):
            _ = OverTheAirFlickeringPyTorch(classifier, eps_step="test")
        with pytest.raises(ValueError):
            _ = OverTheAirFlickeringPyTorch(classifier, eps_step=-0.5)
        with pytest.raises(ValueError):
            _ = OverTheAirFlickeringPyTorch(classifier, max_iter="test")
        with pytest.raises(ValueError):
            _ = OverTheAirFlickeringPyTorch(classifier, max_iter=-5)
        with pytest.raises(ValueError):
            _ = OverTheAirFlickeringPyTorch(classifier, beta_0="test")
        with pytest.raises(ValueError):
            _ = OverTheAirFlickeringPyTorch(classifier, beta_0=-0.5)
        with pytest.raises(ValueError):
            _ = OverTheAirFlickeringPyTorch(classifier, beta_1="test")
        with pytest.raises(ValueError):
            _ = OverTheAirFlickeringPyTorch(classifier, beta_1=-0.5)
        with pytest.raises(ValueError):
            _ = OverTheAirFlickeringPyTorch(classifier, beta_2="test")
        with pytest.raises(ValueError):
            _ = OverTheAirFlickeringPyTorch(classifier, beta_2=-0.5)
        with pytest.raises(ValueError):
            _ = OverTheAirFlickeringPyTorch(classifier, loss_margin="test")
        with pytest.raises(ValueError):
            _ = OverTheAirFlickeringPyTorch(classifier, loss_margin=-0.5)
        with pytest.raises(ValueError):
            _ = OverTheAirFlickeringPyTorch(classifier, batch_size="test")
        with pytest.raises(ValueError):
            _ = OverTheAirFlickeringPyTorch(classifier, batch_size=-5)
        with pytest.raises(ValueError):
            _ = OverTheAirFlickeringPyTorch(classifier, start_frame_index="test")
        with pytest.raises(ValueError):
            _ = OverTheAirFlickeringPyTorch(classifier, start_frame_index=-0.5)
        with pytest.raises(ValueError):
            _ = OverTheAirFlickeringPyTorch(classifier, num_frames=5.0)
        with pytest.raises(ValueError):
            _ = OverTheAirFlickeringPyTorch(classifier, num_frames=-5)
        with pytest.raises(ValueError):
            _ = OverTheAirFlickeringPyTorch(classifier, round_samples="test")
        with pytest.raises(ValueError):
            _ = OverTheAirFlickeringPyTorch(classifier, round_samples=-5)
    except ARTTestException as e:
        art_warning(e)