code: def test_can_instantiate_and_run_scalar(self):
      df = deep_factorized.NoisyDeepFactorized(num_filters=(2, 3, 4))
      self.assertEqual(df.batch_shape, ())
      self.assertEqual(df.event_shape, ())
      self.assertEqual(df.base.num_filters, (2, 3, 4))
      self.assertEqual(df.base.init_scale, 10)
      x = tf.random.normal((10,))
      df.prob(x)
  
imports: from absl.testing import parameterized
  import tensorflow
  import tensorflow_probability
  from tensorflow_compression.python.distributions import deep_factorized
  from tensorflow_compression.python.distributions import helpers
label_desc: Use image node_id 2 for calling the NoisyDeepFactorizedTest obj's underlying member method code with example usage: obj.test_can_instantiate_and_run_scalar() without return types