code: def test_default(art_warning):
      try:
          # Small data for testing
          x = np.array(
              [[0.37, 0.68, 0.63, 0.48, 0.48, 0.18, 0.19]],
              dtype=ART_NUMPY_DTYPE,
          )
  
          # Create filter
          audio_filter = LFilterPyTorch()
  
          # Apply filter
          result = audio_filter(x)
  
          # Test
          assert result[1] is None
          np.testing.assert_array_almost_equal(x, result[0], decimal=0)
  
      except ARTTestException as e:
          art_warning(e)
  
file_path: adversarial-robustness-toolbox/tests/preprocessing/audio/test_l_filter_pytorch.py
imports: from __future__ import absolute_import, division, print_function, unicode_literals
  import logging
  import numpy
  import pytest
  from art.preprocessing.audio import LFilterPyTorch
  from art.config import ART_NUMPY_DTYPE
  from tests.utils import ARTTestException
label_desc: Use image node_id 2 for calling a global function with example usage: test_default(art_warning) without return types