code: def test_compress_video_call(art_warning):
      try:
          test_input = np.arange(12).reshape((1, 3, 1, 2, 2))
          video_compression = VideoCompressionPyTorch(
              video_format="mp4",
              constant_rate_factor=50,
              channels_first=True,
          )
  
          assert np.any(
              np.not_equal(video_compression(test_input)[0], test_input)
          )
      except ARTTestException as e:
          art_warning(e)
  
file_path: adversarial-robustness-toolbox/tests/defences/preprocessor/test_video_compression_pytorch.py
imports: from __future__ import absolute_import, division, print_function, unicode_literals
  import logging
  import numpy
  import pytest
  from numpy.testing import assert_array_equal
  from art.defences.preprocessor import VideoCompressionPyTorch
  from tests.utils import ARTTestException
label_desc: Use image node_id 3 for calling a global function with example usage: test_compress_video_call(art_warning) without return types