code: def test_distort(self):
      sample_len = 1024
      samples_in = np.random.normal(0, 1, size=sample_len).astype(
          np.float32
      )
      sample_rate = 16000
      augmenter = Compose(
          [
              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 len(samples_out) == sample_len
      assert sum(abs(samples_out)) < sum(abs(samples_in))
  
imports: import numpy
  import pytest
  from audiomentations import ClippingDistortion, Compose
label_desc: Use image node_id 1 for calling the TestClippingDistortion obj's underlying member method code with example usage: obj.test_distort() without return types