code: def __init__(
      self,
      *,
      file_name: str,
      sha256: Optional[str] = None,
      preprocess: Optional[
          Union[
              Literal["decompress", "extract"],
              Callable[[pathlib.Path], None],
          ]
      ] = None,
  ) -> None:
      self.file_name = file_name
      self.sha256 = sha256
  
      if isinstance(preprocess, str):
          if preprocess == "decompress":
              preprocess = self._decompress
          elif preprocess == "extract":
              preprocess = self._extract
          else:
              raise ValueError(
                  f"Only `'decompress'` or `'extract'` are valid if `preprocess` is passed as string,"
                  f"but got {preprocess} instead."
              )
      self._preprocess = preprocess
  
imports: import abc
  import hashlib
  import itertools
  import pathlib
  from typing import Any, Callable, IO, Literal, NoReturn, Optional, Sequence, Set, Tuple, Union
  from urllib.parse import urlparse
  from torchdata.datapipes.iter import FileLister, FileOpener, IterableWrapper, IterDataPipe, RarArchiveLoader, TarArchiveLoader, ZipArchiveLoader
  from torchvision.datasets.utils import _decompress, _detect_file_type, _get_google_drive_file_id, _get_redirect_url, download_file_from_google_drive, download_url, extract_archive
label_desc: Use image node_id 1 to create a new OnlineResource object from inherited base classes: abc with example: obj = OnlineResource()