class_docstr: Class to mock the experiment logger.
class_docstr_tok: ["Class","to","mock","the","experiment","logger","."]
code: def __init__(self, test_cls=None, run_asserts=True, data=None):
      self._test_cls = test_cls
      self._run_asserts = run_asserts
      self._iter = 0
      self._calls_to_set = 0
      self._calls_to_log = 0
      self.data = 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 1 to create a new MockLogger object from inherited base classes: object with example: obj = MockLogger(test_cls, run_asserts, data)