old_contents: # -*- coding: utf-8 -*-
  """
  Thai National Corpus word frequency
  
  Credit: Korakot Chaovavanich‎
  https://www.facebook.com/photo.php?fbid=363640477387469&set=gm.434330506948445&type=3&permPage=1
  """
  import re
  from typing import List, Tuple
  
  import requests
  from pythainlp.corpus import get_corpus
  
  __all__ = ["word_freq", "word_freqs"]
  
  _FILENAME = "tnc_freq.txt"
  
  
  def word_freq(word: str, domain: str = "all") -> int:
      """
      **Not officially supported.**
      Get word frequency of a word by domain.
      This function will make a query to the server of Thai National Corpus.
      Internet connection is required.
  
      **IMPORTANT:** Currently (as of 29 April 2019) it is likely to return 0,
      regardless of the word, as the service URL has been changed and the code
      is not updated yet.
      New URL is http://www.arts.chula.ac.th/~ling/tnc3/
  
      :param string word: word
      :param string domain: domain
      """
      listdomain = {
          "all": "",
          "imaginative": "1",
          "natural-pure-science": "2",
          "applied-science": "3",
          "social-science": "4",
          "world-affairs-history": "5",
          "commerce-finance": "6",
          "arts": "7",
          "belief-thought": "8",
          "leisure": "9",
          "others": "0",
      }
      url = "http://www.arts.chula.ac.th/~ling/tnc3/"
      data = {"genre[]": "", "domain[]": listdomain[domain], "sortby": "perc", "p": word}
  
      r = requests.post(url, data=data)
  
      pat = re.compile(r'TOTAL</font>.*?#ffffff">(.*?)</font>', flags=re.DOTALL)
      match = pat.search(r.text)
  
      n = 0
      if match:
          n = int(match.group(1).strip())
  
      return n
  
  
  def word_freqs() -> List[Tuple[str, int]]:
      """
      Get word frequency from Thai National Corpus (TNC)
      """
      lines = list(get_corpus(_FILENAME))
      word_freqs = []
      for line in lines:
          word_freq = line.split("\t")
          if len(word_freq) >= 2:
              word_freqs.append((word_freq[0], int(word_freq[1])))
  
      return word_freqs
  
new_contents: # -*- coding: utf-8 -*-
  """
  Thai National Corpus word frequency
  
  Credit: Korakot Chaovavanich‎
  https://www.facebook.com/photo.php?fbid=363640477387469&set=gm.434330506948445&type=3&permPage=1
  """
  import re
  from typing import List, Tuple
  
  import requests
  from pythainlp.corpus import get_corpus
  
  __all__ = ["word_freq", "word_freqs"]
  
  _FILENAME = "tnc_freq.txt"
  
  
  def word_freq(word: str, domain: str = "all") -> int:
      """
  
      .. note::
      
          **Not officially supported.**
          Get word frequency of a word by domain.
          This function will make a query to the server of
          Thai National Corpus.
          Internet connection is required.
  
      .. warning::
          Currently (as of 29 April 2019) it is likely to return 0,
          regardless of the word, as the service URL has been changed
          and the code is not updated yet.
          New URL is http://www.arts.chula.ac.th/~ling/tnc3/
  
      :param string word: word
      :param string domain: domain
      """
      listdomain = {
          "all": "",
          "imaginative": "1",
          "natural-pure-science": "2",
          "applied-science": "3",
          "social-science": "4",
          "world-affairs-history": "5",
          "commerce-finance": "6",
          "arts": "7",
          "belief-thought": "8",
          "leisure": "9",
          "others": "0",
      }
      url = "http://www.arts.chula.ac.th/~ling/tnc3/"
      data = {"genre[]": "", "domain[]": listdomain[domain], "sortby": "perc", "p": word}
  
      r = requests.post(url, data=data)
  
      pat = re.compile(r'TOTAL</font>.*?#ffffff">(.*?)</font>', flags=re.DOTALL)
      match = pat.search(r.text)
  
      n = 0
      if match:
          n = int(match.group(1).strip())
  
      return n
  
  
  def word_freqs() -> List[Tuple[str, int]]:
      """
      Get word frequency from Thai National Corpus (TNC)
      """
      lines = list(get_corpus(_FILENAME))
      word_freqs = []
      for line in lines:
          word_freq = line.split("\t")
          if len(word_freq) >= 2:
              word_freqs.append((word_freq[0], int(word_freq[1])))
  
      return word_freqs
  
subject: add special directive for warning notes