code: def test_single_dataset(coco_visiondata_train, coco_visiondata_test):
      suite = full_suite()
      res_train = suite.run(
          coco_visiondata_train,
          coco_visiondata_test,
          max_samples=100,
          with_display=False,
          run_single_dataset="Train",
      )
      expected_train_headers = [
          "Class Performance",
          "Confusion Matrix",
          "Property Label Correlation Change",
          "Heatmap Comparison",
          "Image Dataset Drift",
          "Image Property Drift",
          "Image Property Outliers",
          "Label Property Outliers",
          "Mean Average Precision Report",
          "Mean Average Recall Report",
          "New Labels",
          "Property Label Correlation",
          "Simple Model Comparison",
          "Label Drift",
          "Prediction Drift",
          "Weak Segments Performance",
      ]
  
      res_test = suite.run(
          coco_visiondata_train,
          coco_visiondata_test,
          max_samples=100,
          with_display=False,
          run_single_dataset="Test",
      )
      res_full = suite.run(
          coco_visiondata_train,
          coco_visiondata_test,
          max_samples=100,
          with_display=False,
      )
      res_names = sorted(x.get_header() for x in res_train.results)
      assert_that(
          res_names, contains_inanyorder(*expected_train_headers)
      )
      assert_that(res_test.results, has_length(16))
      assert_that(res_full.results, has_length(23))
  
file_path: deepchecks/tests/vision/base/test_suite.py
imports: from collections import defaultdict
  from hamcrest import assert_that, calling, contains_inanyorder, has_length, instance_of, is_, raises
  from deepchecks.core import CheckResult, DatasetKind
  from deepchecks.core.errors import DatasetValidationError, DeepchecksNotSupportedError, DeepchecksValueError
  from deepchecks.vision.base_checks import SingleDatasetCheck, TrainTestCheck
  from deepchecks.vision.datasets.classification import mnist_tensorflow
  from deepchecks.vision.datasets.detection import coco_torch
  from deepchecks.vision.suite import Suite
  from deepchecks.vision.suites.default_suites import full_suite
  from tests.common import get_expected_results_length, validate_suite_result
label_desc: Use image node_id 9 for calling a global function with example usage: test_single_dataset(coco_visiondata_train, coco_visiondata_test) without return types