code: def extract_single_zip_file(
      archive_path: str,
      cache_dir: Union[str, Path],
      member_path: Optional[str] = None,
  ) -> Path:
      cache_dir = Path(cache_dir)
      cached_archive_path = cached_path(
          archive_path, cache_dir=cache_dir
      )
      dataset_cache = (
          flair.cache_root / cache_dir
          if flair.cache_root not in cache_dir.parents
          else cache_dir
      )
      if member_path is not None:
          output_path = dataset_cache / member_path
          if output_path.exists():
              return output_path
      with zipfile.ZipFile(cached_archive_path, "r") as archive:
          if member_path is None:
              members_list = archive.namelist()
              member_path = get_the_only_file_in_the_archive(
                  members_list, archive_path
              )
          output_path = dataset_cache / member_path
  
          if not output_path.exists():
              archive.extract(member_path, dataset_cache)
          return output_path
  
imports: import base64
  import functools
  import io
  import logging
  import mmap
  import os
  import re
  import shutil
  import tempfile
  import typing
  import warnings
  import zipfile
  from pathlib import Path
  from typing import Optional, Sequence, Tuple, Union, cast
  from urllib.parse import urlparse
  import boto3
  import requests
  import torch
  from botocore import UNSIGNED
  from botocore.config import Config
  from tqdm import tqdm
  import flair
label_desc: Use image node_id 11 for calling a global function with example usage: extract_single_zip_file(archive_path, cache_dir, member_path) and returns: output_path, output_path