code: def test_missing_dependency_error():
      class DummyDataset(Dataset):
          def __init__(self):
              super().__init__(
                  root="root", dependencies=("fake_dependency",)
              )
  
          def _resources(self):
              pass
  
          def _datapipe(self, resource_dps):
              pass
  
          def __len__(self):
              pass
  
      with pytest.raises(
          ModuleNotFoundError,
          match="depends on the third-party package 'fake_dependency'",
      ):
          DummyDataset()
  
imports: import gzip
  import pathlib
  import sys
  import numpy
  import pytest
  import torch
  from datasets_utils import make_fake_flo_file, make_tar
  from torchdata.datapipes.iter import FileOpener, TarArchiveLoader
  from torchvision.datasets._optical_flow import _read_flo
  from torchvision.datasets.utils import _decompress
  from torchvision.prototype.datasets.utils import Dataset, GDriveResource, HttpResource, OnlineResource
  from torchvision.prototype.datasets.utils._internal import fromfile, read_flo
label_desc: Use image node_id 3 for calling a global function with example usage: test_missing_dependency_error() without return types