code: def test_step_batched_action(self):
      self.evaluate(self.random_env.reset())
      random_action = self.evaluate(
          tensor_spec.sample_spec_nest(
              self.action_spec, outer_dims=(5,)
          )
      )
  
      self.evaluate(self.random_env.step(random_action))
  
file_path: agents/tf_agents/environments/random_tf_environment_test.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import numpy
  import tensorflow
  from tf_agents.environments import random_tf_environment
  from tf_agents.specs import tensor_spec
  from tf_agents.trajectories import time_step
  from tf_agents.utils import test_utils
label_desc: Use image node_id 5 for calling the RandomTFEnvironmentTest obj's underlying member method code with example usage: obj.test_step_batched_action() without return types