code: def test_check_params(art_warning):
      try:
          with pytest.raises(ValueError):
              _ = LFilterPyTorch(
                  numerator_coef=np.array([0.1, 0.2, -0.1, -0.2]),
                  denominator_coef=[0.0, 0.1, 0.3, 0.4],
              )
  
          with pytest.raises(ValueError):
              _ = LFilterPyTorch(
                  numerator_coef=np.array([0.1, 0.2, -0.1, -0.2]),
                  denominator_coef=np.array([0.0, 0.1, 0.3, 0.4]),
              )
  
          with pytest.raises(ValueError):
              _ = LFilterPyTorch(
                  numerator_coef=[0.1, 0.2, -0.1, -0.2],
                  denominator_coef=np.array([1.0, 0.1, 0.3, 0.4]),
              )
  
          with pytest.raises(ValueError):
              _ = LFilterPyTorch(
                  numerator_coef=np.array([0.1, 0.2, -0.1, -0.2]),
                  denominator_coef=np.array([1.0, 0.1, 0.3, 0.4, 0.2]),
              )
  
          with pytest.raises(ValueError):
              _ = LFilterPyTorch(
                  numerator_coef=np.array([0.1, 0.2, -0.1, -0.2]),
                  denominator_coef=np.array([1.0, 0.1, 0.3, 0.4]),
                  verbose="True",
              )
  
      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 6 for calling a global function with example usage: test_check_params(art_warning) without return types