code: def testGetEpisodeListsAllRows(self):
      spec = self.default_specs()
      replay_table = episodic_table.EpisodicTable(spec, capacity=3)
      empty_values = self.np_values(spec, 0)
      test_values = self.np_values(spec, 5)
      self.evaluate(tf.compat.v1.global_variables_initializer())
      self.evaluate(replay_table.append(1, test_values))
      # Get episode lists for all rows. The returned values should look like:
      # {'action': [<tensorlist for row 0>, <tensorlist for row 1>,
      #             <tensorlist for row 2>],
      #  ... }
      self._test_episode_lists(replay_table, empty_values, 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 12 for calling the EpisodicTableTest obj's underlying member method code with example usage: obj.testGetEpisodeListsAllRows() without return types