code: def test_condition_ratio_not_less_than_not_passed(
      diabetes_split_dataset_and_model,
  ):
      # Arrange
      train_ds, test_ds, clf = diabetes_split_dataset_and_model
      check = SimpleModelComparison().add_condition_gain_greater_than(
          0.4
      )
  
      # Act
      check_result = check.run(train_ds, test_ds, clf)
      condition_result = check_result.conditions_results
  
      # Assert
      assert_that(
          condition_result,
          has_items(
              equal_condition_result(
                  is_pass=False,
                  name="Model performance gain over simple model is greater than 40%",
                  details="Found failed metrics: {'Neg RMSE': '24.32%'}",
              )
          ),
      )
  
imports: from hamcrest import assert_that, calling, close_to, equal_to, greater_than, has_entries, has_entry, has_items, has_length, is_, raises
  from sklearn.metrics import f1_score, get_scorer, make_scorer, recall_score
  from deepchecks.core.errors import DeepchecksValueError
  from deepchecks.tabular.checks.model_evaluation import SimpleModelComparison
  from deepchecks.tabular.metric_utils.scorers import get_default_scorers
  from deepchecks.tabular.utils.task_type import TaskType
  from tests.base.utils import equal_condition_result
label_desc: Use image node_id 13 for calling a global function with example usage: test_condition_ratio_not_less_than_not_passed(diabetes_split_dataset_and_model) without return types