def METHOD_NAME(art_warning, video_batch, length, channels_first):
    try:
        cutout = CutoutTensorFlowV2(length=length, channels_first=channels_first)
        count = np.not_equal(cutout(video_batch)[0], video_batch).sum()
        n = video_batch.shape[0]
        frames = video_batch.shape[1]
        if channels_first:
            channels = video_batch.shape[2]
        else:
            channels = video_batch.shape[-1]
        assert count <= n * frames * channels * length * length
    except ARTTestException as e:
        art_warning(e)