code: def testRunExperimentWithInconsistentRange(
      self, mock_logger_constructor, mock_checkpointer_constructor
  ):
      experiment_logger = MockLogger()
      mock_logger_constructor.return_value = experiment_logger
      experiment_checkpointer = mock.Mock()
      mock_checkpointer_constructor.return_value = (
          experiment_checkpointer
      )
      runner = run_experiment.Runner(
          self._test_subdir,
          self._create_agent_fn,
          mock.Mock,
          num_iterations=0,
      )
      runner.run_experiment()
      self.assertEqual(
          0, experiment_checkpointer.save_checkpoint.call_count
      )
      self.assertEqual(0, experiment_logger._calls_to_set)
      self.assertEqual(0, experiment_logger._calls_to_log)
  
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 13 for calling the RunnerTest obj's underlying member method code with example usage: obj.testRunExperimentWithInconsistentRange(mock_logger_constructor, mock_checkpointer_constructor) without return types