code: def async_download_file_from_s3(
      opts: argparse.Namespace,
      tar_file_name: str,
      cache_loc: str,
      *args,
      **kwargs,
  ) -> None:
      """Helper function to download the files asynchronously from S3.
  
      Args:
          opts: command-line arguments
          tar_file_name: Name of the tar file
          cache_loc: Caching location on the local machine
      """
      # async download files form s3
      local_path = get_local_path(
          opts=opts,
          path=tar_file_name,
          cache_loc=cache_loc,
          quiet_download=True,
          force_delete=False,
          use_start_rank=False,
          sync_ranks=False,
      )
  
      # now extract the tar file and save the content as each separate file
      folder_name = local_path.replace(".tar.gz", "")
      with tarfile.open(local_path, "r:gz") as tar_file:
          tar_file.extractall(folder_name)
  
      # delete the tar file, to save space
      if os.path.isfile(local_path):
          os.remove(local_path)
  
imports: import argparse
  import glob
  import io
  import os
  import pickle
  import tarfile
  from multiprocessing.pool import Pool
  from typing import AnyStr, Dict, Tuple
  import numpy
  import torch
  from PIL import Image, ImageFile
  from data.datasets import DATASET_REGISTRY
  from data.datasets.multi_modal_img_text.base_multi_modal_img_text import BaseMultiModalImgText
  from utils import logger, resources
  from utils.ddp_utils import dist_barrier
  from utils.download_utils import get_local_path
label_desc: Use image node_id 4 for calling a global function with example usage: async_download_file_from_s3(opts, tar_file_name, cache_loc) without return types