code: def required_data_names(
      cls, train: bool = True, inference: bool = False
  ) -> Tuple[str, ...]:
      if not inference:
          retval = ("speech", "speech_ref1")
      else:
          # Recognition mode
          retval = ("speech",)
      return retval
  
imports: import argparse
  import copy
  import logging
  from typing import Callable, Collection, Dict, List, Optional, Tuple
  import numpy
  import torch
  from typeguard import check_argument_types, check_return_type
  from espnet2.asr.ctc import CTC
  from espnet2.asr.espnet_model import ESPnetASRModel
  from espnet2.diar.espnet_model import ESPnetDiarizationModel
  from espnet2.enh.espnet_enh_s2t_model import ESPnetEnhS2TModel
  from espnet2.enh.espnet_model import ESPnetEnhancementModel
  from espnet2.tasks.abs_task import AbsTask
  from espnet2.tasks.asr import ASRTask
  from espnet2.tasks.asr import decoder_choices
  from espnet2.tasks.asr import encoder_choices
  from espnet2.tasks.asr import frontend_choices, normalize_choices
  from espnet2.tasks.asr import postencoder_choices
  from espnet2.tasks.asr import preencoder_choices
  from espnet2.tasks.asr import specaug_choices
  from espnet2.tasks.diar import DiarizationTask
  from espnet2.tasks.diar import attractor_choices
  from espnet2.tasks.diar import decoder_choices
  from espnet2.tasks.diar import encoder_choices
  from espnet2.tasks.diar import frontend_choices
  from espnet2.tasks.diar import label_aggregator_choices
  from espnet2.tasks.diar import normalize_choices
  from espnet2.tasks.diar import specaug_choices
  from espnet2.tasks.enh import EnhancementTask
  from espnet2.tasks.enh import decoder_choices
  from espnet2.tasks.enh import encoder_choices
  from espnet2.tasks.enh import mask_module_choices
  from espnet2.tasks.enh import separator_choices
  from espnet2.tasks.st import STTask
  from espnet2.tasks.st import decoder_choices
  from espnet2.tasks.st import encoder_choices
  from espnet2.tasks.st import extra_asr_decoder_choices
  from espnet2.tasks.st import extra_mt_decoder_choices
  from espnet2.tasks.st import postencoder_choices
  from espnet2.tasks.st import preencoder_choices
  from espnet2.text.phoneme_tokenizer import g2p_choices
  from espnet2.torch_utils.initialize import initialize
  from espnet2.train.collate_fn import CommonCollateFn
  from espnet2.train.preprocessor import CommonPreprocessor, CommonPreprocessor_multi, MutliTokenizerCommonPreprocessor
  from espnet2.train.trainer import Trainer
  from espnet2.utils.get_default_kwargs import get_default_kwargs
  from espnet2.utils.nested_dict_action import NestedDictAction
  from espnet2.utils.types import int_or_none, str2bool, str_or_none
label_desc: Use image node_id 4 for calling the EnhS2TTask obj's underlying member method code with example usage: obj.required_data_names(cls, train, inference) and returns: retval