class_docstr: Tests for TFRecordObserver class and dataset/spec file functions.
class_docstr_tok: ["Tests","for","TFRecordObserver","class","and","dataset\/spec","file","functions","."]
code: def test_with_dynamic_step_driver(self):
      env = driver_test_utils.PyEnvironmentMock()
      tf_env = tf_py_environment.TFPyEnvironment(env)
      policy = driver_test_utils.TFPolicyMock(
          tf_env.time_step_spec(), tf_env.action_spec()
      )
  
      trajectory_spec = trajectory.from_transition(
          tf_env.time_step_spec(),
          policy.policy_step_spec,
          tf_env.time_step_spec(),
      )
  
      tfrecord_observer = example_encoding_dataset.TFRecordObserver(
          self.dataset_path, trajectory_spec
      )
      driver = dynamic_step_driver.DynamicStepDriver(
          tf_env,
          policy,
          observers=[common.function(tfrecord_observer)],
          num_steps=10,
      )
      self.evaluate(tf.compat.v1.global_variables_initializer())
  
      time_step = self.evaluate(tf_env.reset())
      initial_policy_state = policy.get_initial_state(batch_size=1)
      self.evaluate(
          common.function(driver.run)(time_step, initial_policy_state)
      )
      tfrecord_observer.flush()
      tfrecord_observer.close()
  
      dataset = example_encoding_dataset.load_tfrecord_dataset(
          [self.dataset_path], buffer_size=2, as_trajectories=True
      )
      iterator = eager_utils.dataset_iterator(dataset)
      sample = self.evaluate(eager_utils.get_next(iterator))
      self.assertIsInstance(sample, trajectory.Trajectory)
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import collections
  import os
  import numpy
  import tensorflow
  from tf_agents.drivers import dynamic_step_driver
  from tf_agents.drivers import py_driver
  from tf_agents.drivers import test_utils
  from tf_agents.drivers import tf_driver
  from tf_agents.environments import tf_py_environment
  from tf_agents.specs import tensor_spec
  from tf_agents.trajectories import trajectory
  from tf_agents.utils import common
  from tf_agents.utils import eager_utils
  from tf_agents.utils import example_encoding_dataset
  from tf_agents.utils import test_utils
label_desc: Use image node_id 8 for calling the TFRecordsUtilsTest obj's underlying member method code with example usage: obj.test_with_dynamic_step_driver() without return types