code: def testCreateEpisodeId(self):
      spec = [
          specs.TensorSpec([3], tf.float32, "action"),
          [
              specs.TensorSpec([5], tf.float32, "lidar"),
              specs.TensorSpec([3, 2], tf.float32, "camera"),
          ],
      ]
      replay_buffer = episodic_replay_buffer.EpisodicReplayBuffer(
          spec, capacity=2
      )
      replay_buffer_stateful_0 = (
          episodic_replay_buffer.StatefulEpisodicReplayBuffer(
              replay_buffer
          )
      )
      replay_buffer_stateful_1 = (
          episodic_replay_buffer.StatefulEpisodicReplayBuffer(
              replay_buffer
          )
      )
  
      episode_0 = replay_buffer_stateful_0.episode_ids
      episode_1 = replay_buffer_stateful_1.episode_ids
  
      self.evaluate(tf.compat.v1.local_variables_initializer())
      self.assertIsNot(episode_0, episode_1)
      self.assertEqual(self.evaluate(episode_0), -1)
      self.assertEqual(self.evaluate(episode_1), -1)
  
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 3 for calling the StatefulEpisodicReplayBufferTest obj's underlying member method code with example usage: obj.testCreateEpisodeId() without return types