code: def testFirstObservationIsPreservedAfterTwoSteps(
      self, batch_py_env, isolation
  ):
      py_env = self._get_py_env(batch_py_env, isolation)
      tf_env = tf_py_environment.TFPyEnvironment(
          py_env, isolation=isolation
      )
      time_step = tf_env.current_time_step()
      with tf.control_dependencies([time_step.step_type]):
          action = tf.constant([1])
      next_time_step = tf_env.step(action)
      with tf.control_dependencies([next_time_step.step_type]):
          action = tf.constant([2])
      _, observation = self.evaluate(
          [tf_env.step(action), time_step.observation]
      )
  
      self.assertEqual(np.array([0]), observation)
  
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 13 for calling the TFPYEnvironmentTest obj's underlying member method code with example usage: obj.testFirstObservationIsPreservedAfterTwoSteps(batch_py_env, isolation) without return types