code: def test_unstack_actions(self):
      num_envs = 2
      env = self._make_parallel_py_environment(num_envs=num_envs)
      action_spec = env.action_spec()
      rng = np.random.RandomState()
      batched_action = np.array(
          [
              array_spec.sample_bounded_spec(action_spec, rng)
              for _ in range(num_envs)
          ]
      )
  
      # Test that actions are correctly unstacked when just batched in np.array.
      unstacked_actions = env._unstack_actions(batched_action)
      for action in unstacked_actions:
          self.assertAllEqual(action_spec.shape, action.shape)
      env.close()
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import collections
  import functools
  import time
  import numpy
  import tensorflow
  from tf_agents.environments import parallel_py_environment
  from tf_agents.environments import py_environment
  from tf_agents.environments import random_py_environment
  from tf_agents.specs import array_spec
  from tf_agents.system import system_multiprocessing
  from tf_agents.trajectories import time_step
label_desc: Use image node_id 9 for calling the ParallelPyEnvironmentTest obj's underlying member method code with example usage: obj.test_unstack_actions() without return types