code: def test_simple_model_comparison_regression_random_state(
      diabetes_split_dataset_and_model,
  ):
      # Arrange
      train_ds, test_ds, clf = diabetes_split_dataset_and_model
      (
          y_pred_train,
          y_pred_test,
          y_proba_train,
          y_proba_test,
      ) = _dummify_model(train_ds, test_ds, clf)
      check = SimpleModelComparison(strategy="uniform", random_state=0)
      # Act X
      result = check.run(
          train_ds,
          test_ds,
          y_pred_train=y_pred_train,
          y_pred_test=y_pred_test,
          y_proba_train=y_proba_train,
          y_proba_test=y_proba_test,
      ).value
      # Assert
      assert_regression(result)
  
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 6 for calling a global function with example usage: test_simple_model_comparison_regression_random_state(diabetes_split_dataset_and_model) without return types