code: def setup_task(cls, args, **kwargs):
      # load dictionaries
      cls.source_lang = args.source_lang or "src"
      cls.target_lang = args.target_lang or "tgt"
  
      dicts = OrderedDict()
      dicts[
          cls.source_lang
      ] = pytorch_translate_dictionary.Dictionary.load(
          args.source_vocab_file
      )
      dicts[
          cls.target_lang
      ] = pytorch_translate_dictionary.Dictionary.load(
          args.target_vocab_file
      )
      print(
          f"| [{cls.source_lang}] dictionary: {len(dicts[cls.source_lang])} types"
      )
      print(
          f"| [{cls.target_lang}] dictionary: {len(dicts[cls.target_lang])} types"
      )
      # TODO: Handle task setup for evals
      return cls(args, dicts, training=True)
  
imports: import json
  from collections import OrderedDict
  from typing import Optional
  from fairseq import models
  from fairseq.data import BacktranslationDataset, LanguagePairDataset, RoundRobinZipDatasets, TransformEosDataset
  from fairseq.models import FairseqMultiModel
  from fairseq.tasks import register_task
  from pytorch_translate import beam_decode, constants, rnn
  from pytorch_translate.data import data, dictionary, utils, weighted_data
  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 5 for calling the PytorchTranslateSemiSupervised obj's underlying member method code with example usage: obj.setup_task(cls, args) and returns: cls