code: def testContinuePreviusRun(self):
      env = tf_py_environment.TFPyEnvironment(
          driver_test_utils.PyEnvironmentMock()
      )
      policy = driver_test_utils.TFPolicyMock(
          env.time_step_spec(), env.action_spec()
      )
  
      num_episodes_observer = driver_test_utils.NumEpisodesObserver()
      num_steps_observer = driver_test_utils.NumStepsObserver()
  
      driver = dynamic_episode_driver.DynamicEpisodeDriver(
          env,
          policy,
          observers=[num_episodes_observer, num_steps_observer],
      )
      time_step, policy_state = driver.run()
      time_step, policy_state = driver.run(time_step, policy_state)
  
      self.evaluate(tf.compat.v1.global_variables_initializer())
  
      time_step, policy_state = self.evaluate([time_step, policy_state])
  
      self.assertEqual(time_step.step_type, 0)
      self.assertEqual(policy_state, [3])
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import numpy
  import tensorflow
  from tf_agents.bandits.environments import environment_utilities
  from tf_agents.bandits.environments import stationary_stochastic_py_environment
  from tf_agents.drivers import dynamic_episode_driver
  from tf_agents.drivers import test_utils
  from tf_agents.environments import tf_py_environment
  from tf_agents.policies import random_tf_policy
  from tf_agents.replay_buffers import tf_uniform_replay_buffer
  from tf_agents.utils import test_utils
label_desc: Use image node_id 2 for calling the DynamicEpisodeDriverTest obj's underlying member method code with example usage: obj.testContinuePreviusRun() without return types