code: def test_regression_error_distribution(
      diabetes_split_dataset_and_model,
  ):
      # Arrange
      _, test, clf = diabetes_split_dataset_and_model
      check = RegressionErrorDistribution()
      # Act X
      result = check.run(test, clf)
      # Assert
      assert_that(
          result.value["Kurtosis Value"], close_to(0.028, 0.001)
      )
      assert_that(result.display, has_length(greater_than(0)))
  
file_path: deepchecks/tests/tabular/checks/model_evaluation/regression_error_distribution_test.py
imports: from hamcrest import assert_that, calling, close_to, greater_than, has_items, has_length, raises
  from deepchecks.core import ConditionCategory
  from deepchecks.core.errors import DeepchecksNotSupportedError, DeepchecksValueError, ModelValidationError
  from deepchecks.tabular.checks.model_evaluation import RegressionErrorDistribution
  from deepchecks.tabular.dataset import Dataset
  from tests.base.utils import equal_condition_result
label_desc: Use image node_id 4 for calling a global function with example usage: test_regression_error_distribution(diabetes_split_dataset_and_model) without return types