code: def testRewardCheckerSizeMismatch(self):
      # Ensure custom scalar reward with batch_size greater than 1 raises
      # ValueError
      obs_spec = array_spec.BoundedArraySpec((2, 3), np.int32, -10, 10)
      env = random_py_environment.RandomPyEnvironment(
          obs_spec, reward_fn=lambda *_: 1.0, batch_size=5
      )
      env.reset()
      env._done = False
      with self.assertRaises(ValueError):
          env.step([0])
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from absl.testing import parameterized
  import numpy
  from tf_agents.environments import random_py_environment
  from tf_agents.specs import array_spec
  from tf_agents.utils import test_utils
label_desc: Use image node_id 10 for calling the RandomPyEnvironmentTest obj's underlying member method code with example usage: obj.testRewardCheckerSizeMismatch() without return types