code: def char_tokenize_line(line):
      words = tokenize_line(line)
      chars = []
      for word in words:
          if word in TAGS:
              chars.append(word)
          else:
              chars.extend(c for c in word)
      return chars
  
imports: import os
  import re
  from typing import Dict, List, Optional, Set
  from fairseq.data import dictionary
  from fairseq.file_io import PathManager
  from pytorch_translate import vocab_constants
label_desc: Use image node_id 4 for calling a global function with example usage: char_tokenize_line(line) and returns: chars