code: def testBatchSize(self):
      batch_size = 3
      obs_spec = array_spec.BoundedArraySpec((2, 3), np.int32, -10, 10)
      env = random_py_environment.RandomPyEnvironment(
          obs_spec, batch_size=batch_size
      )
  
      time_step = env.step([0])  # pytype: disable=wrong-arg-types
      self.assertEqual(time_step.observation.shape, (3, 2, 3))
      self.assertEqual(time_step.reward.shape[0], batch_size)
      self.assertEqual(time_step.discount.shape[0], batch_size)
  
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 7 for calling the RandomPyEnvironmentTest obj's underlying member method code with example usage: obj.testBatchSize() without return types