code: def testInitializeCheckpointingWhenCheckpointUnbundleSucceeds(
      self, mock_get_latest
  ):
      latest_checkpoint = 7
      mock_get_latest.return_value = latest_checkpoint
      logs_data = {"a": 1, "b": 2}
      current_iteration = 1729
      checkpoint_data = {
          "current_iteration": current_iteration,
          "logs": logs_data,
      }
      checkpoint_dir = os.path.join(self._test_subdir, "checkpoints")
      checkpoint = checkpointer.Checkpointer(checkpoint_dir, "ckpt")
      checkpoint.save_checkpoint(latest_checkpoint, checkpoint_data)
      mock_agent = mock.Mock()
      mock_agent.unbundle.return_value = True
      runner = run_experiment.Runner(
          self._test_subdir,
          lambda x, y, summary_writer: mock_agent,
          mock.Mock,
      )
      expected_iteration = current_iteration + 1
      self.assertEqual(expected_iteration, runner._start_iteration)
      self.assertDictEqual(logs_data, runner._logger.data)
      mock_agent.unbundle.assert_called_once_with(
          checkpoint_dir, latest_checkpoint, checkpoint_data
      )
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import os
  import shutil
  from absl import flags
  from dopamine.agents.dqn import dqn_agent
  from dopamine.agents.implicit_quantile import implicit_quantile_agent
  from dopamine.agents.rainbow import rainbow_agent
  from dopamine.discrete_domains import checkpointer
  from dopamine.discrete_domains import logger
  from dopamine.discrete_domains import run_experiment
  from dopamine.metrics import collector_dispatcher
  from dopamine.metrics import statistics_instance
  import gin.tf
  import mock
  import tensorflow
label_desc: Use image node_id 5 for calling the RunnerTest obj's underlying member method code with example usage: obj.testInitializeCheckpointingWhenCheckpointUnbundleSucceeds(mock_get_latest) without return types