code: def setup_task(cls, args, **kwargs):
      data_cfg = data_cfg = S2SDataConfig(
          Path(args.data) / args.config_yaml
      )
      tgt_dict = None
      infer_tgt_lang_id = None
      if args.target_is_code:
          if data_cfg.prepend_tgt_lang_tag_as_bos:
              # dictionary with language tags
              dict_path = Path(args.data) / data_cfg.vocab_filename
              if not dict_path.is_file():
                  raise FileNotFoundError(
                      f"Dict has to be provided when setting prepend_tgt_lang_tag_as_bos: true, but dict not found: {dict_path}"
                  )
              tgt_dict = Dictionary.load(dict_path.as_posix())
  
              # target langauge for inference
              if args.infer_target_lang != "":
                  tgt_lang_tag = (
                      SpeechToTextDataset.LANG_TAG_TEMPLATE.format(
                          args.infer_target_lang
                      )
                  )
                  infer_tgt_lang_id = tgt_dict.index(tgt_lang_tag)
                  assert infer_tgt_lang_id != tgt_dict.unk()
          else:
              assert args.target_code_size is not None
  
              tgt_dict = Dictionary()
              for i in range(args.target_code_size):
                  tgt_dict.add_symbol(str(i))
          logger.info(f"dictionary size: " f"{len(tgt_dict):,}")
  
      if getattr(args, "train_subset", None) is not None:
          if not all(
              s.startswith("train")
              for s in args.train_subset.split(",")
          ):
              raise ValueError(
                  'Train splits should be named like "train*".'
              )
  
      assert args.n_frames_per_step >= 1
      assert (
          not args.eval_inference
          or (args.target_is_code and args.vocoder == "code_hifigan")
          or (
              not args.target_is_code and args.vocoder != "code_hifigan"
          )
      )
  
      return cls(args, tgt_dict, infer_tgt_lang_id=infer_tgt_lang_id)
  
imports: import json
  import logging
  import math
  from argparse import Namespace
  from pathlib import Path
  from typing import List
  import torch
  import torch.nn
  from fairseq import utils
  from fairseq.data import Dictionary
  from fairseq.data.audio.data_cfg import MultitaskConfig, S2SDataConfig
  from fairseq.data.audio.speech_to_speech_dataset import SpeechToSpeechDatasetCreator
  from fairseq.data.audio.speech_to_text_dataset import SpeechToTextDataset, TextTargetMultitaskData
  from fairseq.tasks import LegacyFairseqTask, register_task
  from fairseq.tasks.speech_to_text import DummyMultiTask
  from fairseq.tasks.text_to_speech import batch_mel_cepstral_distortion
label_desc: Use image node_id 3 for calling the SpeechToSpeechTask obj's underlying member method code with example usage: obj.setup_task(cls, args) and returns: cls