old_contents: # -*- coding: utf-8 -*-
  from ..summary import Summary
  from .base_summarization_method import BaseSummarizationMethod
  from .lang_model_ranking_method import LangModelRankingMethod
  
  class LangModelSummarizationMethod(BaseSummarizationMethod):
      '''
      Rank iUnits based on the LM-based method used in iUnit ranking,
      and put the iUnits in the first layer in the ranking order.
      '''
  
      def __init__(self, parser, min_count=3, smoothing=1):
          '''
          parser: must have "word_tokenize" method
          min_count: minumum frequncy for words to be used
          smoothing: added to the frequency of each word for smoothing
          '''
          self.ranking = LangModelRankingMethod(parser, min_count, smoothing)
  
      def init(self, tasks):
          '''
          Count the frequency of words
          '''
          print "Initializing ..."
          self.ranking.init(tasks)
  
      def summarize(self, task):
          '''
          Output iUnits in order of the log odds ratio in the first layer
          '''
          print "Processing %s" % task.query.qid
          iunit_score_list = self.ranking.rank(task)
          return Summary(task.query.qid, [iunit for iunit, score in iunit_score_list])
  
new_contents: # -*- coding: utf-8 -*-
  from ..summary import Summary
  from .base_summarization_method import BaseSummarizationMethod
  from .lang_model_ranking_method import LangModelRankingMethod
  
  class LangModelSummarizationMethod(BaseSummarizationMethod):
      '''
      Rank iUnits based on the LM-based method used in iUnit ranking,
      and put the iUnits in the first layer in the ranking order.
      '''
  
      def __init__(self, parser, min_count=3, smoothing=1):
          '''
          parser: must have "word_tokenize" method
          min_count: minumum frequncy for words to be used
          smoothing: added to the frequency of each word for smoothing
          '''
          self.ranking = LangModelRankingMethod(parser, min_count, smoothing)
  
      def init(self, tasks):
          '''
          Count the frequency of words
          '''
          # duplicate message
          #print "Initializing ..."
          self.ranking.init(tasks)
  
      def summarize(self, task):
          '''
          Output iUnits in order of the log odds ratio in the first layer
          '''
          print "Processing %s" % task.query.qid
          iunit_score_list = self.ranking.rank(task)
          return Summary(task.query.qid, [iunit for iunit, score in iunit_score_list])
  
subject: remove redundant init message