text: # -*- coding: UTF-8 -*-
  """
  Software: LingFeat - Comprehensive Linguistic Features for Readability Assessment
  Page: ShaF.py (Shallow Features)
  License: CC-BY-SA 4.0
  
  Original Author: Bruce W. Lee (이웅성) @brucewlee
  Affiliation 1: LXPER AI, Seoul, South Korea
  Affiliation 2: University of Pennsylvania, PA, USA
  Contributing Author: -
  Affiliation : -
  
  
  References:
  >>> Shallow features inspired by 
  Publication 1: Feng, Lijun, Noémie Elhadad, and Matt Huenerfauth. "Cognitively motivated features for readability assessment." Proceedings of the 12th Conference of the European Chapter of the ACL (EACL 2009). 2009.
  """
  import math
  from ..utils import count_syllables
  
  def retrieve(origin_doc, token_list, n_token, n_sent):
      total_count_char = len(origin_doc.replace(" ",""))
      total_count_tokn = n_token
      total_count_syll = 0
      for token in token_list:
          total_count_syll += count_syllables(token)
      result = {
          "TokSenM_S":float(n_token*n_sent),
          "TokSenS_S":float(math.sqrt(n_token*n_sent)),
          "TokSenL_S":float(math.log(n_token)/math.log(n_sent)),
          "as_Token_C":float(total_count_tokn/n_sent),
          "as_Sylla_C":float(total_count_syll/n_sent),  
          "at_Sylla_C":float(total_count_syll/n_token),       
          "as_Chara_C":float(total_count_char/n_sent),   
          "at_Chara_C":float(total_count_char/n_token),
      }
      return result