code: def test_distort_multichannel(self):
      sample_len = 32000
      samples_in = np.random.normal(0, 1, size=(2, sample_len)).astype(
          np.float32
      )
      sample_rate = 16000
      augmenter = ClippingDistortion(
          min_percentile_threshold=20,
          max_percentile_threshold=40,
          p=1.0,
      )
  
      samples_out = augmenter(
          samples=samples_in, sample_rate=sample_rate
      )
      assert samples_out.dtype == np.float32
      assert samples_out.shape == samples_in.shape
      assert np.sum(np.abs(samples_out)) < np.sum(np.abs(samples_in))
      assert np.amax(samples_out[0, :]) == pytest.approx(
          np.amax(samples_out[1, :])
      )
  
imports: import numpy
  import pytest
  from audiomentations import ClippingDistortion, Compose
label_desc: Use image node_id 2 for calling the TestClippingDistortion obj's underlying member method code with example usage: obj.test_distort_multichannel() without return types