code: def _create_mock_checkpointer():
      mock_checkpointer = mock.Mock()
      test_dictionary = {"current_iteration": 1729, "logs": "logs"}
      mock_checkpointer.load_checkpoint.return_value = test_dictionary
      return mock_checkpointer
  
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.discrete_domains import logger
  import mock
  import numpy
  from tensor2tensor.rl import dopamine_connector
  import tensorflow.compat.v1
label_desc: Use image node_id 1 for calling a global function with example usage: _create_mock_checkpointer() and returns: mock_checkpointer