code: def testGetEpisodeListsOneRow(self):
      spec = self.default_specs()
      replay_table = episodic_table.EpisodicTable(spec, capacity=3)
      test_values = self.np_values(spec, 5)
      self.evaluate(tf.compat.v1.global_variables_initializer())
      self.evaluate(replay_table.append(1, test_values))
      # Get the episode lists we just added. The returned value should look like:
      # {'action': <tensorlist>, 'camera': <tensorlist>, 'lidar': <tensorlist>}
      episode_lists = replay_table.get_episode_lists(1)
      for episode_list_slot in tf.nest.flatten(episode_lists):
          self.assertEqual(episode_list_slot.shape.rank, 0)
      episode_tensors = tf.nest.map_structure(
          replay_table._stack_tensor_list,
          replay_table.slots,
          episode_lists,
      )
      self.assertAllClose(self.evaluate(episode_tensors), test_values)
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import os
  import numpy
  import tensorflow
  from tf_agents import specs
  from tf_agents.replay_buffers import episodic_table
  from tensorflow.python.framework import test_util
label_desc: Use image node_id 10 for calling the EpisodicTableTest obj's underlying member method code with example usage: obj.testGetEpisodeListsOneRow() without return types