code: def test_queue_table(self):
      table_name = "test_queue_table"
      queue_table = reverb.Table.queue(table_name, 3)
      reverb_server = reverb.Server([queue_table])
      data_spec = tensor_spec.TensorSpec((), dtype=tf.int64)
      replay = reverb_replay_buffer.ReverbReplayBuffer(
          data_spec,
          table_name,
          local_server=reverb_server,
          sequence_length=1,
          dataset_buffer_size=1,
      )
  
      with replay.py_client.trajectory_writer(
          num_keep_alive_refs=1
      ) as writer:
          for i in range(3):
              writer.append(i)
              trajectory = writer.history[-1:]
              writer.create_item(
                  table_name, trajectory=trajectory, priority=1
              )
  
      dataset = replay.as_dataset(
          sample_batch_size=1, num_steps=None, num_parallel_calls=1
      )
  
      iterator = iter(dataset)
      for i in range(3):
          sample = next(iterator)[0]
          self.assertEqual(sample, i)
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import contextlib
  import functools
  import time
  from absl.testing import parameterized
  import mock
  import reverb
  from six.moves import range
  import tensorflow
  from tf_agents.drivers import py_driver
  from tf_agents.environments import parallel_py_environment
  from tf_agents.environments import test_envs
  from tf_agents.policies import random_py_policy
  from tf_agents.replay_buffers import reverb_replay_buffer
  from tf_agents.replay_buffers import reverb_utils
  from tf_agents.specs import tensor_spec
  from tf_agents.system import system_multiprocessing
  from tf_agents.trajectories import time_step
  from tf_agents.utils import test_utils
label_desc: Use image node_id 1 for calling the ReverbTableTests obj's underlying member method code with example usage: obj.test_queue_table() without return types