code: def test_priority_extracted_gt_decompressed(self, tmp_path):
      archive, _ = self._make_tar(tmp_path, remove=False)
  
      resource = self.DummyResource(file_name=archive.name)
  
      dp = resource.load(tmp_path)
      # If the archive had been selected, this would be a `TarArchiveReader`
      assert isinstance(dp, FileOpener)
  
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 8 for calling the TestOnlineResource obj's underlying member method code with example usage: obj.test_priority_extracted_gt_decompressed(tmp_path) without return types