code: def testBuildsDistribution(self):
      expected_distribution = tfd.Categorical(
          [0.2, 0.3, 0.5], validate_args=True
      )
      input_param_spec = tensor_spec.TensorSpec((3,), dtype=tf.float32)
      sample_spec = tensor_spec.TensorSpec((1,), dtype=tf.int32)
  
      spec = distribution_spec.DistributionSpec(
          tfd.Categorical,
          input_param_spec,
          sample_spec=sample_spec,
          **expected_distribution.parameters,
      )
  
      self.assertEqual(
          expected_distribution.parameters["logits"],
          spec.distribution_parameters["logits"],
      )
  
      distribution = spec.build_distribution(logits=[0.1, 0.4, 0.5])
  
      self.assertTrue(isinstance(distribution, tfd.Categorical))
      self.assertTrue(distribution.parameters["validate_args"])
      self.assertEqual(
          [0.1, 0.4, 0.5], distribution.parameters["logits"]
      )
  
file_path: agents/tf_agents/specs/distribution_spec_test.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import tensorflow
  import tensorflow_probability
  from tf_agents.specs import distribution_spec
  from tf_agents.specs import tensor_spec
label_desc: Use image node_id 1 for calling the DistributionSpecTest obj's underlying member method code with example usage: obj.testBuildsDistribution() without return types