code: def test_regression_error_absolute_kurtosis_not_greater_than_not_passed(
      diabetes_split_dataset_and_model,
  ):
      # Arrange
      _, test, clf = diabetes_split_dataset_and_model
      test = Dataset(
          test.data.copy(), label="target", label_type="regression"
      )
      test._data[
          test.label_name
      ] = 300  # pylint: disable=protected-access
      (
          y_pred_train,
          y_pred_test,
          y_proba_train,
          y_proba_test,
      ) = _dummify_model(test, None, clf)
  
      check = (
          RegressionErrorDistribution().add_condition_kurtosis_greater_than()
      )
  
      # Act
      result = check.conditions_decision(
          check.run(
              test,
              y_pred_train=y_pred_train,
              y_pred_test=y_pred_test,
              y_proba_train=y_proba_train,
              y_proba_test=y_proba_test,
          )
      )
  
      assert_that(
          result,
          has_items(
              equal_condition_result(
                  is_pass=False,
                  name="Kurtosis value higher than -0.1",
                  details="Found kurtosis value of -0.92572",
                  category=ConditionCategory.WARN,
              )
          ),
      )
  
imports: from hamcrest import assert_that, calling, close_to, has_items, raises
  from deepchecks.core.check_result import CheckResult
  from deepchecks.core.condition import ConditionCategory
  from deepchecks.core.errors import DeepchecksValueError, ValidationError
  from deepchecks.tabular.base_checks import TrainTestCheck
  from deepchecks.tabular.checks import SingleDatasetPerformance
  from deepchecks.tabular.checks.model_evaluation.regression_error_distribution import RegressionErrorDistribution
  from deepchecks.tabular.checks.model_evaluation.roc_report import RocReport
  from deepchecks.tabular.checks.model_evaluation.simple_model_comparison import SimpleModelComparison
  from deepchecks.tabular.context import Context
  from deepchecks.tabular.dataset import Dataset
  from deepchecks.tabular.suites.default_suites import full_suite
  from deepchecks.tabular.utils.task_type import TaskType
  from tests.base.utils import equal_condition_result
  from tests.common import get_expected_results_length, validate_suite_result
  from tests.tabular.checks.model_evaluation.simple_model_comparison_test import assert_regression
label_desc: Use image node_id 5 for calling a global function with example usage: test_regression_error_absolute_kurtosis_not_greater_than_not_passed(diabetes_split_dataset_and_model) without return types