text: # -*- coding: utf-8 -*-
  # Copyright (c) 2017 Keith Ito
  #
  # Permission is hereby granted, free of charge, to any person obtaining a copy
  # of this software and associated documentation files (the "Software"), to deal
  # in the Software without restriction, including without limitation the rights
  # to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
  # copies of the Software, and to permit persons to whom the Software is
  # furnished to do so, subject to the following conditions:
  
  # The above copyright notice and this permission notice shall be included in
  # all copies or substantial portions of the Software.
  
  # THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
  # IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
  # FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
  # AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
  # LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
  # OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN
  # THE SOFTWARE.
  """Cleaner module for english."""
  
  
  # Regular expression matching whitespace:
  import re
  from unidecode import unidecode
  from tensorflow_tts.utils.number_norm import normalize_numbers
  
  
  _whitespace_re = re.compile(r'\s+')
  
  # List of (regular expression, replacement) pairs for abbreviations:
  _abbreviations = [(re.compile('\\b%s\\.' % x[0], re.IGNORECASE), x[1]) for x in [
      ('mrs', 'misess'),
      ('mr', 'mister'),
      ('dr', 'doctor'),
      ('st', 'saint'),
      ('co', 'company'),
      ('jr', 'junior'),
      ('maj', 'major'),
      ('gen', 'general'),
      ('drs', 'doctors'),
      ('rev', 'reverend'),
      ('lt', 'lieutenant'),
      ('hon', 'honorable'),
      ('sgt', 'sergeant'),
      ('capt', 'captain'),
      ('esq', 'esquire'),
      ('ltd', 'limited'),
      ('col', 'colonel'),
      ('ft', 'fort'),
  ]]
  
  
  def expand_abbreviations(text):
      for regex, replacement in _abbreviations:
          text = re.sub(regex, replacement, text)
      return text
  
  
  def expand_numbers(text):
      return normalize_numbers(text)
  
  
  def lowercase(text):
      return text.lower()
  
  
  def collapse_whitespace(text):
      return re.sub(_whitespace_re, ' ', text)
  
  
  def convert_to_ascii(text):
      return unidecode(text)
  
  
  def basic_cleaners(text):
      """Basic pipeline that lowercases and collapses whitespace without transliteration."""
      text = lowercase(text)
      text = collapse_whitespace(text)
      return text
  
  
  def transliteration_cleaners(text):
      """Pipeline for non-English text that transliterates to ASCII."""
      text = convert_to_ascii(text)
      text = lowercase(text)
      text = collapse_whitespace(text)
      return text
  
  
  def english_cleaners(text):
      """Pipeline for English text, including number and abbreviation expansion."""
      text = convert_to_ascii(text)
      text = lowercase(text)
      text = expand_numbers(text)
      text = expand_abbreviations(text)
      text = collapse_whitespace(text)
      return text
  