code: def testSingleDeterministicPassAsDatasetWithNumSteps(
      self, drop_remainder
  ):
      replay_buffer = self._create_rb_and_add_3N_episodes(
          drop_remainder=drop_remainder
      )
      with self.cached_session() as session:
          pass
      itr = iterator_from_dataset(
          replay_buffer,
          num_steps=5,
          single_deterministic_pass=True,
          session=session,
      )
  
      tf.nest.map_structure(
          self.assertAllEqual, {"a": _a([1, 10, 100, 2, 20])}, next(itr)
      )
      tf.nest.map_structure(
          self.assertAllEqual,
          {"a": _a([200, 3, 30, 300, -1])},
          next(itr),
      )
      if not drop_remainder:
          tf.nest.map_structure(
              self.assertAllEqual, {"a": _a([-10, -100])}, next(itr)
          )
      with self.assertRaises(
          (tf.errors.OutOfRangeError, StopIteration)
      ):
          next(itr)
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from absl.testing import parameterized
  import numpy
  import tensorflow
  from tf_agents import specs
  from tf_agents.replay_buffers import episodic_replay_buffer
  from tf_agents.utils import common
  from tf_agents.utils import test_utils
  from tensorflow.python.ops import list_ops
label_desc: Use image node_id 32 for calling the EpisodicReplayBufferTest obj's underlying member method code with example usage: obj.testSingleDeterministicPassAsDatasetWithNumSteps(drop_remainder) without return types