code: def _make_parallel_py_environment(
      self,
      constructor=None,
      num_envs=2,
      start_serially=True,
      blocking=True,
  ):
      self._set_default_specs()
      constructor = constructor or functools.partial(
          random_py_environment.RandomPyEnvironment,
          self.observation_spec,
          self.action_spec,
      )
      return parallel_py_environment.ParallelPyEnvironment(
          env_constructors=[constructor] * num_envs,
          blocking=blocking,
          start_serially=start_serially,
      )
  
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 2 for calling the ParallelPyEnvironmentTest obj's underlying member method code with example usage: obj._make_parallel_py_environment(constructor, num_envs, start_serially, blocking) and returns: parallel_py_environment