code: def _get_py_env(self, batch_py_env, isolation, batch_size=None):
      def _create_env():
          if batch_size is None:
              py_env = PYEnvironmentMock()
          else:
              py_env = [PYEnvironmentMock() for _ in range(batch_size)]
          if batch_py_env:
              py_env = batched_py_environment.BatchedPyEnvironment(
                  py_env if isinstance(py_env, list) else [py_env]
              )
          return py_env
  
      # If using isolation, we'll pass a callable
      return _create_env if isolation else _create_env()
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import threading
  from typing import Text
  from absl.testing import parameterized
  from absl.testing.absltest import mock
  import numpy
  import tensorflow
  from tf_agents import specs
  from tf_agents.environments import batched_py_environment
  from tf_agents.environments import py_environment
  from tf_agents.environments import suite_gym
  from tf_agents.environments import tf_py_environment
  from tf_agents.trajectories import time_step
  from tf_agents.utils import common
label_desc: Use image node_id 2 for calling the TFPYEnvironmentTest obj's underlying member method code with example usage: obj._get_py_env(batch_py_env, isolation, batch_size) and returns: unknown, py_env