code: def _regex_filter(sentence):
      return (
          not _is_match(sentence, _RE_GOOD_S_START)
          or not _is_match(sentence, _RE_GOOD_S_END)
          or _is_match(sentence, _RE_LABEL_COLON)
          or _is_match(sentence, _RE_DIGIT_SPACE_DIGIT)
          or _is_match(sentence, _RE_DQ_ONE)
          or _is_match(sentence, _RE_DQ_INITIAL)
          or _is_match(sentence, _RE_DQ_FINAL)
          or _is_match(sentence, _RE_DQ_LINE)
          or _is_match(sentence, _RE_DQ_MANY)
          or _is_match(sentence, _RE_SQ_MANY)
          or _is_match(sentence, _RE_CHARS_QQ)
          or _is_match(sentence, _RE_SPACE_PUNCT_SPACE)
          or _is_match(sentence, _RE_COPYRIGHT)
          or _is_match(sentence, _RE_UNMATCHED_PAREN_LEFT)
          or _is_match(sentence, _RE_UNMATCHED_PAREN_RIGHT)
          or _is_match(sentence, _RE_TAGLINE_CITY)
          or _is_match(sentence, _RE_CHARS_UPPER_UNDERSCORE)
      )
  
file_path: tensor2tensor/tensor2tensor/data_generators/cleaner_en_xx.py
imports: from __future__ import absolute_import
  from __future__ import division
  from __future__ import print_function
  from __future__ import unicode_literals
  import itertools
  import re
  from tensor2tensor.data_generators import text_encoder
  import tensorflow.compat.v1
label_desc: Use image node_id 4 for calling a global function with example usage: _regex_filter(sentence) and returns: unknown