code: def _make_file(self, root, *, content, name="file.txt"):
      file = root / name
      with open(file, "w") as fh:
          fh.write(content)
  
      return file
  
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 1 for calling the TestOnlineResource obj's underlying member method code with example usage: obj._make_file(root) and returns: file