code: def _build_args(args, manually_set_args):
      args["model"] = _parse_model_string(args["model"])
      args["loss"] = _parse_loss_string(args["loss"])
      if type(args["autotuneModelSize"]) == int:
          args["autotuneModelSize"] = str(args["autotuneModelSize"])
  
      a = fasttext.args()
      for k, v in args.items():
          setattr(a, k, v)
          if k in manually_set_args:
              a.setManual(k)
      a.output = ""  # User should use save_model
      a.saveOutput = 0  # Never use this
      if a.wordNgrams <= 1 and a.maxn == 0:
          a.bucket = 0
      return a
  
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 3 for calling a global function with example usage: _build_args(args, manually_set_args) and returns: a