code: def test_suite(diabetes_split_dataset_and_model):
      train, test, clf = diabetes_split_dataset_and_model
      (
          y_pred_train,
          y_pred_test,
          y_proba_train,
          y_proba_test,
      ) = _dummify_model(train, test, clf)
  
      args = dict(
          train_dataset=train,
          test_dataset=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,
      )
      suite = full_suite()
      result = suite.run(**args)
      length = get_expected_results_length(suite, args)
      validate_suite_result(result, length)
  
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 11 for calling a global function with example usage: test_suite(diabetes_split_dataset_and_model) without return types