code: def _download_extract_downstream_data(input_file, proxies=None):
      # download archive to temp dir and extract to correct position
      full_path = Path(os.path.realpath(input_file))
      directory = full_path.parent
      taskname = directory.stem
      datadir = directory.parent
      logger.info(
          "downloading and extracting file {} to dir {}".format(
              taskname, datadir
          )
      )
      if "conll03-" in taskname:
          # conll03 is copyrighted, but luckily somebody put it on github. Kudos!
          if not os.path.exists(directory):
              os.makedirs(directory)
          for dataset in ["train", "dev", "test"]:
              if "de" in taskname:
                  _conll03get(dataset, directory, "de")
              elif "en" in taskname:
                  _conll03get(dataset, directory, "en")
              else:
                  logger.error(
                      "Cannot download {}. Unknown data source.".format(
                          taskname
                      )
                  )
      elif taskname not in DOWNSTREAM_TASK_MAP:
          logger.error(
              "Cannot download {}. Unknown data source.".format(
                  taskname
              )
          )
      else:
          if (
              os.name == "nt"
          ):  # make use of NamedTemporaryFile compatible with Windows
              delete_tmp_file = False
          else:
              delete_tmp_file = True
          with tempfile.NamedTemporaryFile(
              delete=delete_tmp_file
          ) as temp_file:
              http_get(
                  DOWNSTREAM_TASK_MAP[taskname],
                  temp_file,
                  proxies=proxies,
              )
              temp_file.flush()
              temp_file.seek(0)  # making tempfile accessible
  
              # checking files for correctness with md5sum.
              if "germeval14" in taskname:
                  if (
                      "2c9d5337d7a25b9a4bf6f5672dd091bc"
                      != _get_md5checksum(temp_file.name)
                  ):
                      logger.error(
                          f"Someone has changed the file for {taskname}. Please make sure the correct file is used and update the md5sum in farm/data_handler/utils.py"
                      )
              elif "germeval18" in taskname:
                  if (
                      "23244fa042dcc39e844635285c455205"
                      != _get_md5checksum(temp_file.name)
                  ):
                      logger.error(
                          f"Someone has changed the file for {taskname}. Please make sure the correct file is used and update the md5sum in farm/data_handler/utils.py"
                      )
              elif "gnad" in taskname:
                  if (
                      "ef62fe3f59c1ad54cf0271d8532b8f22"
                      != _get_md5checksum(temp_file.name)
                  ):
                      logger.error(
                          f"Someone has changed the file for {taskname}. Please make sure the correct file is used and update the md5sum in farm/data_handler/utils.py"
                      )
              elif "germeval17" in taskname:
                  if (
                      "f1bf67247dcfe7c3c919b7b20b3f736e"
                      != _get_md5checksum(temp_file.name)
                  ):
                      logger.error(
                          f"Someone has changed the file for {taskname}. Please make sure the correct file is used and update the md5sum in farm/data_handler/utils.py"
                      )
              tfile = tarfile.open(temp_file.name)
              tfile.extractall(datadir)
  
imports: import hashlib
  import json
  import logging
  import os
  import random
  import tarfile
  import tempfile
  import string
  import uuid
  from contextlib import ExitStack
  from itertools import islice
  from pathlib import Path
  import pandas
  from requests import get
  from tqdm import tqdm
  from typing import List
  from farm.file_utils import http_get
  from farm.modeling.tokenization import tokenize_with_metadata
label_desc: Use image node_id 11 for calling a global function with example usage: _download_extract_downstream_data(input_file, proxies) without return types