code: def _decompress_dist(fname):
      env = os.environ
      if "PADDLE_TRAINERS_NUM" in env and "PADDLE_TRAINER_ID" in env:
          trainer_id = int(env["PADDLE_TRAINER_ID"])
          num_trainers = int(env["PADDLE_TRAINERS_NUM"])
          if num_trainers <= 1:
              _decompress(fname)
          else:
              lock_path = fname + ".decompress.lock"
              from paddle.distributed import ParallelEnv
  
              unique_endpoints = _get_unique_endpoints(
                  ParallelEnv().trainer_endpoints[:]
              )
              # NOTE(dkp): _decompress_dist always performed after
              # _download_dist, in _download_dist sub-trainers is waiting
              # for download lock file release with sleeping, if decompress
              # prograss is very fast and finished with in the sleeping gap
              # time, e.g in tiny dataset such as coco_ce, spine_coco, main
              # trainer may finish decompress and release lock file, so we
              # only craete lock file in main trainer and all sub-trainer
              # wait 1s for main trainer to create lock file, for 1s is
              # twice as sleeping gap, this waiting time can keep all
              # trainer pipeline in order
              # **change this if you have more elegent methods**
              if ParallelEnv().current_endpoint in unique_endpoints:
                  with open(lock_path, "w"):  # touch
                      os.utime(lock_path, None)
                  _decompress(fname)
                  os.remove(lock_path)
              else:
                  time.sleep(1)
                  while os.path.exists(lock_path):
                      time.sleep(0.5)
      else:
          _decompress(fname)
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  import os
  import os.path
  import sys
  import yaml
  import time
  import shutil
  import requests
  import tqdm
  import hashlib
  import base64
  import binascii
  import tarfile
  import zipfile
  import errno
  from paddle.utils.download import _get_unique_endpoints
  from ppdet.core.workspace import BASE_KEY
  from .logger import setup_logger
  from .voc_utils import create_list
label_desc: Use image node_id 17 for calling a global function with example usage: _decompress_dist(fname) without return types