code: def test_gain_multichannel_with_wrong_dimension_ordering(self):
      samples = np.random.uniform(
          low=-0.5, high=0.5, size=(2000, 2)
      ).astype(np.float32)
  
      augment = Gain(min_gain_db=-6, max_gain_db=-6, p=1.0)
  
      with pytest.raises(WrongMultichannelAudioShape):
          augment(samples=samples, sample_rate=16000)
  
file_path: audiomentations/tests/test_gain.py
imports: import warnings
  import numpy
  import pytest
  from numpy.testing import assert_almost_equal
  from audiomentations import Gain
  from audiomentations.core.transforms_interface import WrongMultichannelAudioShape
label_desc: Use image node_id 3 for calling the TestGain obj's underlying member method code with example usage: obj.test_gain_multichannel_with_wrong_dimension_ordering() without return types