code: def test_dataset_load():
      dataloader = load_dataset(object_type="DataLoader", n_samples=100)
      assert_that(dataloader, instance_of(DataLoader))
      assert_that(MNIST_DIR.exists() and MNIST_DIR.is_dir())
      assert_that(dataloader.dataset._check_exists() is 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 1 for calling a global function with example usage: test_dataset_load() without return types