code: def test_numpy_array(self, dtype, num_channels):
      np_audio = _create_np_audio(num_channels, np.int64)
  
      self.assertFeature(
          feature=features.Audio(
              sample_rate=1000, shape=_shape_for_channels(num_channels)
          ),
          shape=_shape_for_channels(num_channels),
          dtype=dtype,
          tests=[
              testing.FeatureExpectationItem(
                  value=np_audio,
                  expected=np_audio,
              ),
          ],
          test_attributes=dict(
              _file_format=None,
              sample_rate=1000,
          ),
      )
  
imports: import array
  import pathlib
  import tempfile
  from absl.testing import parameterized
  import numpy
  import pydub
  import tensorflow
  from tensorflow_datasets import testing
  from tensorflow_datasets.core import features
label_desc: Use image node_id 1 for calling the AudioFeatureTest obj's underlying member method code with example usage: obj.test_numpy_array(dtype, num_channels) without return types