code: def pmap(fun, iterable):
      pool = Pool()
      results = pool.map(fun, iterable)
      pool.close()
      return results
  
file_path: DeepSpeech/training/deepspeech_training/util/evaluate_tools.py
imports: from __future__ import absolute_import, division, print_function
  import json
  from multiprocessing.dummy import Pool
  import numpy
  from attrdict import AttrDict
  from .flags import FLAGS
  from .text import levenshtein
  from .io import open_remote
label_desc: Use image node_id 1 for calling a global function with example usage: pmap(fun, iterable) and returns: results