code: def test_output_shape_and_variables_are_correct(self, trainable):
      reverb = self.reverb_class(
          trainable=trainable, **self.construct_args
      )
      if trainable:
          output = reverb(self.audio)
      else:
          output = reverb(self.audio, **self.call_args)
  
      self.assertListEqual(
          list(self.audio.shape), output.shape.as_list()
      )
      self.assertEqual(reverb.trainable, trainable)
      self.assertEmpty(reverb.non_trainable_variables)
      assert_variables = (
          self.assertNotEmpty if trainable else self.assertEmpty
      )
      assert_variables(reverb.trainable_variables)
  
imports: from absl.testing import parameterized
  from ddsp import effects
  import tensorflow.compat.v2
label_desc: Use image node_id 2 for calling the ReverbTest obj's underlying member method code with example usage: obj.test_output_shape_and_variables_are_correct(trainable) without return types