code: def _open_openml_url(
      openml_path: str,
      data_home: Optional[str],
      n_retries: int = 3,
      delay: float = 1.0,
  ):
      """
      Returns a resource from OpenML.org. Caches it to data_home if required.
  
      Parameters
      ----------
      openml_path : str
          OpenML URL that will be accessed. This will be prefixes with
          _OPENML_PREFIX.
  
      data_home : str
          Directory to which the files will be cached. If None, no caching will
          be applied.
  
      n_retries : int, default=3
          Number of retries when HTTP errors are encountered. Error with status
          code 412 won't be retried as they represent OpenML generic errors.
  
      delay : float, default=1.0
          Number of seconds between retries.
  
      Returns
      -------
      result : stream
          A stream to the OpenML resource.
      """
  
      def is_gzip_encoded(_fsrc):
          return _fsrc.info().get("Content-Encoding", "") == "gzip"
  
      req = Request(_OPENML_PREFIX + openml_path)
      req.add_header("Accept-encoding", "gzip")
  
      if data_home is None:
          fsrc = _retry_on_network_error(
              n_retries, delay, req.full_url
          )(urlopen)(req)
          if is_gzip_encoded(fsrc):
              return gzip.GzipFile(fileobj=fsrc, mode="rb")
          return fsrc
  
      local_path = _get_local_path(openml_path, data_home)
      dir_name, file_name = os.path.split(local_path)
      if not os.path.exists(local_path):
          os.makedirs(dir_name, exist_ok=True)
          try:
              # Create a tmpdir as a subfolder of dir_name where the final file will
              # be moved to if the download is successful. This guarantees that the
              # renaming operation to the final location is atomic to ensure the
              # concurrence safety of the dataset caching mechanism.
              with TemporaryDirectory(dir=dir_name) as tmpdir:
                  with closing(
                      _retry_on_network_error(
                          n_retries, delay, req.full_url
                      )(urlopen)(req)
                  ) as fsrc:
                      opener: Callable
                      if is_gzip_encoded(fsrc):
                          opener = open
                      else:
                          opener = gzip.GzipFile
                      with opener(
                          os.path.join(tmpdir, file_name), "wb"
                      ) as fdst:
                          shutil.copyfileobj(fsrc, fdst)
                  shutil.move(fdst.name, local_path)
          except Exception:
              if os.path.exists(local_path):
                  os.unlink(local_path)
              raise
  
      # XXX: First time, decompression will not be necessary (by using fsrc), but
      # it will happen nonetheless
      return gzip.GzipFile(local_path, "rb")
  
imports: import gzip
  import hashlib
  import json
  import os
  import shutil
  import time
  from contextlib import closing
  from functools import wraps
  from os.path import join
  from tempfile import TemporaryDirectory
  from typing import Any, Callable, Dict, List, Optional, Tuple, Union
  from urllib.error import HTTPError, URLError
  from urllib.request import Request, urlopen
  from warnings import warn
  import numpy
  from ..utils import Bunch, check_pandas_support
  from ..utils._param_validation import Integral, Interval, Real, StrOptions, validate_params
  from .None import get_data_home
  from ._arff_parser import load_arff_from_gzip_file
label_desc: Use image node_id 4 for calling a global function with example usage: _open_openml_url(openml_path, data_home, n_retries, delay) and returns: gzip, unknown, fsrc, gzip