code: def test_normalize_multichannel_conditionally(self):
      sample_rate = 16000
      augmenter = Normalize(apply_to="only_too_loud_sounds", p=1.0)
  
      samples = np.array(
          [
              [0.9, 0.5, -0.25, -0.125, 0.0],
              [0.95, 0.5, -0.25, -0.125, 0.0],
          ],
          dtype=np.float32,
      )
      processed_samples = augmenter(
          samples=samples, sample_rate=sample_rate
      )
      assert_array_equal(processed_samples, samples)
      assert processed_samples.dtype == np.float32
  
      samples_too_loud = np.array(
          [
              [0.9, 0.5, -0.25, -0.125, 0.0],
              [1.2, 0.5, -0.25, -0.125, 0.0],
          ],
          dtype=np.float32,
      )
      processed_samples = augmenter(
          samples=samples_too_loud, sample_rate=sample_rate
      )
      assert_array_equal(processed_samples, samples_too_loud / 1.2)
      assert processed_samples.dtype == np.float32
  
file_path: audiomentations/tests/test_normalize.py
imports: import numpy
  from numpy.testing import assert_array_equal
  from audiomentations import Normalize
label_desc: Use image node_id 5 for calling the TestNormalize obj's underlying member method code with example usage: obj.test_normalize_multichannel_conditionally() without return types