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 os
  import re
  
  from pythainlp.corpus import download as download_data
  from pythainlp.corpus import get_corpus
  from pythainlp.tools import get_full_data_path
  import requests
  __all__ = ["word_freq", "word_freqs"]
  
  
  def word_freq(word, domain="all"):
      """
      Get word frequency of a word.
      This function will make a query to the server of Thai National Corpus.
      Internet connection is required.
      """
      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/TNCII/corp.php"
      data = {"genre[]": "", "domain[]": listdomain[domain], "sortby": "perc", "p": word}
  
      r = requests.post(url, data=data)
  
      pat = re.compile(r'TOTAL</font>(?s).*?#ffffff">(.*?)</font>')
      match = pat.search(r.text)
  
      n = 0
      if match:
          n = int(match.group(1).strip())
  
      return n
  
  
  def word_freqs():
      """
      ดึงข้อมูลความถี่คำของ Thai National Corpus มาใช้งาน
      โดยจะได้ข้อมูลในรูปแบบ List[Tuple] [(word,frequency),...]
      """
      with open(get_corpus("tnc_freq.txt"), "r", encoding="utf-8") as f:
          lines = f.read().splitlines()
      f.close()
  
      listword = []
      for line in lines:
          listindata = line.split("	")
          listword.append((listindata[0], int(listindata[1])))
  
      return listword
  
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 os
  import re
  
  from pythainlp.corpus import download as download_data
  from pythainlp.corpus import get_corpus
  from pythainlp.tools import get_full_data_path
  import requests
  __all__ = ["word_freq", "word_freqs"]
  
  
  def word_freq(word, domain="all"):
      """
      Get word frequency of a word.
      This function will make a query to the server of Thai National Corpus.
      Internet connection is required.
      """
      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/TNCII/corp.php"
      data = {"genre[]": "", "domain[]": listdomain[domain], "sortby": "perc", "p": word}
  
      r = requests.post(url, data=data)
  
      pat = re.compile(r'TOTAL</font>(?s).*?#ffffff">(.*?)</font>')
      match = pat.search(r.text)
  
      n = 0
      if match:
          n = int(match.group(1).strip())
  
      return n
  
  
  def word_freqs():
      """
      ดึงข้อมูลความถี่คำของ Thai National Corpus มาใช้งาน
      โดยจะได้ข้อมูลในรูปแบบ List[Tuple] [(word,frequency),...]
      """
      with open(str(get_corpus("tnc_freq.txt")), "r", encoding="utf-8") as f:
          lines = f.read().splitlines()
      f.close()
  
      listword = []
      for line in lines:
          listindata = line.split("	")
          listword.append((listindata[0], int(listindata[1])))
  
      return listword
  
subject: fix path tnc