code: def test_iterable_visiondata_with_shuffle():
      assert_that(
          calling(load_dataset).with_args(
              object_type="DataLoader",
              use_iterable_dataset=True,
              shuffle=True,
              n_samples=100,
          ),
          raises(
              ValueError,
              r"DataLoader with IterableDataset: expected unspecified shuffle option, but got shuffle=True",
          ),
      )
  
file_path: deepchecks/tests/vision/datasets/test_mnist_torch.py
imports: import time
  from hamcrest import assert_that, calling, equal_to, instance_of, is_not, raises
  from torch.utils.data import DataLoader
  from deepchecks.vision import VisionData
  from deepchecks.vision.datasets.classification.mnist_torch import MNIST_DIR, MODEL_PATH, MnistModel, load_dataset, load_model
label_desc: Use image node_id 7 for calling a global function with example usage: test_iterable_visiondata_with_shuffle() without return types