code: def test_different_names_type_specs_equal(self):
      dist_1 = AutoNormal([0.0, 2.0], scale=1.0, name="FirstNormal")
      dist_2 = AutoNormal([1.0, 3.0], scale=2.0, name="SecondNormal")
      self.assertEqual(dist_1._type_spec, dist_2._type_spec)
  
imports: import functools
  import os
  from absl import flags
  from absl.testing import parameterized
  import tensorflow.compat.v2
  from tensorflow_probability.python.bijectors import bijector
  from tensorflow_probability.python.bijectors import reshape
  from tensorflow_probability.python.bijectors import scale
  from tensorflow_probability.python.bijectors import shift
  from tensorflow_probability.python.bijectors import transform_diagonal
  from tensorflow_probability.python.distributions import independent
  from tensorflow_probability.python.distributions import normal
  from tensorflow_probability.python.distributions import transformed_distribution
  from tensorflow_probability.python.experimental.distributions import mvn_precision_factor_linop
  from tensorflow_probability.python.internal import auto_composite_tensor
  from tensorflow_probability.python.internal import tensor_util
  from tensorflow_probability.python.internal import test_util
  from absl.testing import absltest
label_desc: Use image node_id 17 for calling the AutoCompositeTensorTest obj's underlying member method code with example usage: obj.test_different_names_type_specs_equal() without return types