code: def _return_compare_model_args():
      """Returns cross_validation, log_experiment parameters respectively"""
      parametrize_list = [
          (False, False),
          (False, True),
          (True, False),
          (True, True),
      ]
      return parametrize_list
  
imports: import random
  import numpy
  import pandas
  from pandas.testing import assert_frame_equal
  from sktime.forecasting.base import ForecastingHorizon
  from pycaret.containers.models.time_series import get_all_model_containers
  from pycaret.datasets import get_data
  from pycaret.time_series import TSForecastingExperiment
  from pycaret.utils.time_series import SeasonalPeriod
label_desc: Use image node_id 12 for calling a global function with example usage: _return_compare_model_args() and returns: parametrize_list