code: def add_args(parser):
      group = parser.add_argument_group("Generation")
      group.add_argument(
          "--word-reward",
          type=float,
          default=0.0,
          help=(
              "Value to add to (log-prob) score for each token except EOS. "
              "IMPORTANT NOTE: higher values of --length-penalty and --word-reward "
              "both encourage longer translations, while higher values of "
              "--unk-reward penalize UNKs more."
          ),
      )
      group.add_argument(
          "--model-weights",
          default="",
          help=(
              "Interpolation weights for ensembles. Comma-separated list of "
              "floats with length equal to the number of models in the ensemble."
          ),
      )
  
imports: import argparse
  import collections
  import os
  import pickle
  from typing import List, NamedTuple, Optional
  import numpy
  import torch
  from fairseq import data, iterative_refinement_generator, options, progress_bar, tasks, utils
  from fairseq.meters import StopwatchMeter, TimeMeter
  from fairseq.models import FairseqEncoderDecoderModel, FairseqMultiModel
  from fairseq.scoring import bleu
  from pytorch_translate import beam_decode, char_aware_hybrid, char_source_hybrid, char_source_model, char_source_transformer_model, hybrid_transformer_rnn, options, rnn, transformer, utils
  from pytorch_translate.constants import CHECKPOINT_PATHS_DELIMITER
  from pytorch_translate.data import data
  from pytorch_translate.dual_learning.dual_learning_models import DualLearningModel
  from pytorch_translate.research.beam_search import competing_completed
  from pytorch_translate.research.multisource import multisource_data, multisource_decode
  from pytorch_translate.tasks.pytorch_translate_multi_task import PyTorchTranslateMultiTask
  from pytorch_translate.tasks.pytorch_translate_task import PytorchTranslateTask
label_desc: Use image node_id 6 for calling a global function with example usage: add_args(parser) without return types