code: def read_args(arg_list, arg_dict, arg_names, default_values):
      param_map = {
          "min_count": "minCount",
          "word_ngrams": "wordNgrams",
          "lr_update_rate": "lrUpdateRate",
          "label_prefix": "label",
          "pretrained_vectors": "pretrainedVectors",
      }
  
      ret = {}
      manually_set_args = set()
      for arg_name, arg_value in chain(
          zip(arg_names, arg_list), arg_dict.items()
      ):
          if arg_name in param_map:
              arg_name = param_map[arg_name]
          if arg_name not in arg_names:
              raise TypeError(
                  "unexpected keyword argument '%s'" % arg_name
              )
          if arg_name in ret:
              raise TypeError(
                  "multiple values for argument '%s'" % arg_name
              )
          ret[arg_name] = arg_value
          manually_set_args.add(arg_name)
  
      for arg_name, arg_value in default_values.items():
          if arg_name not in ret:
              ret[arg_name] = arg_value
  
      return (ret, manually_set_args)
  
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from __future__ import unicode_literals
  import fasttext_pybind
  import numpy
  import multiprocessing
  import sys
  from itertools import chain
label_desc: Use image node_id 6 for calling a global function with example usage: read_args(arg_list, arg_dict, arg_names, default_values) and returns: ret,  manually_set_args