code: def test_full_suite_execution_mnist_tf():
      suite = full_suite(
          imaginery_kwarg="just to make sure all checks have kwargs in the init"
      )
      mnist_visiondata_train = mnist_tensorflow.load_dataset(train=True)
      mnist_visiondata_test = mnist_tensorflow.load_dataset(train=False)
      arguments = (
          dict(
              train_dataset=mnist_visiondata_train,
              test_dataset=mnist_visiondata_test,
          ),
      )
  
      for args in arguments:
          result = suite.run(**args)
          length = get_expected_results_length(suite, args)
          validate_suite_result(result, length)
  
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 7 for calling a global function with example usage: test_full_suite_execution_mnist_tf() without return types