code: def test_render(self):
      num_envs = 2
      env = self._make_parallel_py_environment(num_envs=num_envs)
      img = env.render("rgb_array")
      self.assertEqual(img.shape, (num_envs, 2, 2, 3))
      self.assertEqual(img.dtype, np.uint8)
      with self.assertRaisesRegex(
          NotImplementedError, "Only rgb_array"
      ):
          self.evaluate(env.render("human"))
  
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 12 for calling the ParallelPyEnvironmentTest obj's underlying member method code with example usage: obj.test_render() without return types