code: def test_trim(self):
      sample_len = 1024
      samples1 = np.zeros((sample_len,), dtype=np.float32)
      samples2 = np.random.normal(0, 1, size=sample_len).astype(
          np.float32
      )
      sample_rate = 16000
      augmenter = Compose([Trim(top_db=20, p=1.0)])
      samples_in = np.hstack((samples1, samples2))
      assert len(samples_in) == sample_len * 2
      samples_out = augmenter(
          samples=samples_in, sample_rate=sample_rate
      )
  
      assert samples_out.dtype == np.float32
      assert len(samples_out) < sample_len * 2
  
imports: import numpy
  from audiomentations import Trim, Compose
label_desc: Use image node_id 1 for calling the TestTrim obj's underlying member method code with example usage: obj.test_trim() without return types