class_docstr: Wrapper class for data config YAML
class_docstr_tok: ["Wrapper","class","for","data","config","YAML"]
docstr: Prepend target lang ID token as the prev_output_tokens BOS (e.g. for
  to-many multilingual setting). No change needed during inference.
  This option is deprecated and replaced by prepend_tgt_lang_tag_as_bos.
docstr_tok: ["Prepend","target","lang","ID","token","as","the","prev_output_tokens","BOS","(","e.g",".","for","to-many","multilingual","setting",")",".","No","change","needed","during","inference",".","This","option","is","deprecated","and","replaced","by","prepend_tgt_lang_tag_as_bos","."]
code: def prepend_tgt_lang_tag_no_change(self) -> bool:
      """Prepend target lang ID token as the prev_output_tokens BOS (e.g. for
      to-many multilingual setting). No change needed during inference.
      This option is deprecated and replaced by prepend_tgt_lang_tag_as_bos.
      """
      value = self.config.get("prepend_tgt_lang_tag_no_change", None)
      if value is None:
          return self.config.get("prepend_tgt_lang_tag_as_bos", False)
      return value
  
imports: import logging
  from pathlib import Path
  from typing import Dict, List, NamedTuple, Optional
  import torch
  from fairseq.data import ConcatDataset, Dictionary, ResamplingDataset
  from fairseq.data import data_utils
  from fairseq.data.audio.speech_to_text_dataset import S2TDataConfig, SpeechToTextDataset, SpeechToTextDatasetCreator
label_desc: Use image node_id 4 for calling the S2TJointDataConfig obj's underlying member method code with example usage: obj.prepend_tgt_lang_tag_no_change() and returns: value, self