code: def test_can_instantiate_scalar(self):
      df = deep_factorized.DeepFactorized()
      self.assertEqual(df.batch_shape, ())
      self.assertEqual(df.event_shape, ())
      self.assertEqual(df.num_filters, (3, 3))
      self.assertEqual(df.init_scale, 10)
  
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 DeepFactorizedTest obj's underlying member method code with example usage: obj.test_can_instantiate_scalar() without return types