code: def _distributed_train_model(self, opt):
      with testing_utils.tempdir() as tmpdir:
          if "model_file" not in opt:
              opt["model_file"] = os.path.join(tmpdir, "model")
          if "dict_file" not in opt:
              opt["dict_file"] = os.path.join(tmpdir, "model.dict")
  
          parser = mp_train.setup_args()
          # TODO: Kill this after dictionaries build correctly
          popt = self._forced_parse(parser, opt)
  
          # we need a prebuilt dictionary
          parser = build_dict.setup_args()
          build_dict.build_dict(popt)
  
          valid, test = mp_train.launch_and_train(popt, 31338)
  
      return (valid, test)
  
imports: import unittest
  from parlai.core.agents import create_agent
  import parlai.utils.testing
  import parlai.scripts.multiprocessing_train
  import parlai.scripts.build_dict
  import os
  import copy
label_desc: Use image node_id 3 for calling the TestDistributed obj's underlying member method code with example usage: obj._distributed_train_model(opt) and returns: valid,  test