code: def testGetAddMultiple(self):
      spec = self.default_specs()
      replay_table = episodic_table.EpisodicTable(spec, capacity=4)
  
      batch_size = 2
      input_values = self.np_values(spec, batch_size)
      expected_values = self.np_values(spec)
      empty_values = self.np_values(spec, 0)
      tensors = tf.nest.map_structure(
          lambda x: tf.convert_to_tensor(value=x, dtype=tf.float32),
          input_values,
      )
  
      write_op = replay_table.add([0, 1], tensors)
      values_0 = replay_table.get_episode_values(0)
      values_1 = replay_table.get_episode_values(1)
      # This should be empty
      values_2 = replay_table.get_episode_values(2)
      self.evaluate(tf.compat.v1.global_variables_initializer())
      self.evaluate(write_op)
      tf.nest.map_structure(
          self.assertAllClose, expected_values, self.evaluate(values_0)
      )
      tf.nest.map_structure(
          self.assertAllClose, expected_values, self.evaluate(values_1)
      )
      tf.nest.map_structure(
          self.assertAllClose, empty_values, self.evaluate(values_2)
      )
  
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 5 for calling the EpisodicTableTest obj's underlying member method code with example usage: obj.testGetAddMultiple() without return types