code: def post_processing(
      word_boundary: str,
      sil_token: str,
      sil_prob: float,
      input_text: str,
      output_text: str,
      output_vocab: Optional[str],
      reduce_vocab: str2bool = False,
  ):
      assert sil_prob >= 0.0 and sil_prob <= 1.0
      vocab_set = set()
  
      input_f = Path(input_text).open("r", encoding="utf-8")
  
      output_p = Path(output_text)
      output_p.parent.mkdir(parents=True, exist_ok=True)
      output_f = output_p.open("w", encoding="utf-8")
  
      for line in input_f:
          line = line.rstrip()
          line_list = line.split(word_boundary)
  
          if reduce_vocab:
              bad_word_set = set(r"'")
              line_list = filter_line(line_list, bad_word_set)
              line_list = remove_digits(line_list)
  
          if sil_prob > 0.0:
              line_list = insert_silence(line_list, sil_prob, sil_token)
  
          output_f.write(f"{' '.join(line_list)}\n")
  
          for token in line_list:
              vocab_set.add(token)
  
      if output_vocab:
          output_vp = Path(output_vocab)
          output_vp.parent.mkdir(parents=True, exist_ok=True)
          output_v = output_vp.open("w", encoding="utf-8")
  
          for token in vocab_set:
              output_v.write(f"{token}\n")
  
file_path: espnet/egs2/esc50/asr1/pyscripts/text/post_processing.py
imports: import argparse
  import sys
  from pathlib import Path
  from typing import List, Optional
  import numpy
  from espnet2.utils.types import str2bool
  from espnet.utils.cli_utils import get_commandline_args
label_desc: Use image node_id 5 for calling a global function with example usage: post_processing(word_boundary, sil_token, sil_prob, input_text, output_text, output_vocab, reduce_vocab) without return types