code: def testMismatchedBatchShape(
      self, overall_observation_shape, overall_reward_shape
  ):
      observation_distribution = tfd.Independent(
          tfd.Normal(
              tf.zeros(overall_observation_shape),
              tf.ones(overall_observation_shape),
          )
      )
      reward_distribution = tfd.Independent(
          tfd.Normal(
              tf.zeros(overall_reward_shape),
              tf.ones(overall_reward_shape),
          )
      )
      with self.assertRaisesRegexp(
          ValueError,
          "`reward_distribution` and `observation_distribution` must have the "
          "same batch shape",
      ):
          random_bandit_environment.RandomBanditEnvironment(
              observation_distribution, reward_distribution
          )
  
file_path: agents/tf_agents/bandits/environments/random_bandit_environment_test.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from absl.testing import parameterized
  import numpy
  import tensorflow
  import tensorflow_probability
  from tf_agents.bandits.environments import random_bandit_environment
  from tf_agents.specs import tensor_spec
label_desc: Use image node_id 4 for calling the RandomBanditEnvironmentTest obj's underlying member method code with example usage: obj.testMismatchedBatchShape(overall_observation_shape, overall_reward_shape) without return types