old_contents: from ...attrs import LIKE_NUM
  
  
  _num_words = [
      "không",
      "một",
      "hai",
      "ba",
      "bốn",
      "năm",
      "sáu",
      "bảy",
      "bẩy",
      "tám",
      "chín",
      "mười",
      "chục",
      "trăm",
      "nghìn",
      "tỷ",
  ]
  
  
  def like_num(text):
      if text.startswith(("+", "-", "±", "~")):
          text = text[1:]
      text = text.replace(",", "").replace(".", "")
      if text.isdigit():
          return True
      if text.count("/") == 1:
          num, denom = text.split("/")
          if num.isdigit() and denom.isdigit():
              return True
      if text.lower() in _num_words:
          return True
      return False
  
  
  LEX_ATTRS = {LIKE_NUM: like_num}
  
new_contents: from ...attrs import LIKE_NUM
  
  
  _num_words = [
      "không",    # Zero
      "một",      # One
      "mốt",      # Also one, irreplacable in niché cases for unit digit such as "51"="năm mươi mốt"
      "hai",      # Two
      "ba",       # Three
      "bốn",      # Four
      "tư",       # Also four, used in certain cases for unit digit such as "54"="năm mươi tư"
      "năm",      # Five
      "lăm",      # Also five, irreplacable in niché cases for unit digit such as "55"="năm mươi lăm"
      "sáu",      # Six
      "bảy",      # Seven
      "bẩy",      # Also seven, old fashioned
      "tám",      # Eight
      "chín",     # Nine
      "mười",     # Ten
      "chục",     # Also ten, used for counting in tens such as "20 eggs"="hai chục trứng"
      "trăm",     # Hundred
      "nghìn",    # Thousand
      "ngàn",     # Also thousand, used in the south
      "vạn",      # Ten thousand
      "triệu",    # Million
      "tỷ",       # Billion
      "tỉ"        # Also billion, used in combinatorics such as "tỉ_phú"="billionaire"
  ]
  
  
  def like_num(text):
      if text.startswith(("+", "-", "±", "~")):
          text = text[1:]
      text = text.replace(",", "").replace(".", "")
      if text.isdigit():
          return True
      if text.count("/") == 1:
          num, denom = text.split("/")
          if num.isdigit() and denom.isdigit():
              return True
      if text.lower() in _num_words:
          return True
      return False
  
  
  LEX_ATTRS = {LIKE_NUM: like_num}
  
subject: Add numbers and definitions (#10665)