code: def filter(self, scored_list):
          '''
          Filtering with std.
  
          Args:
              scored_list:    The list of scoring.
  
          Retruns:
              The list of filtered result.
  
          '''
          if len(scored_list) > 0:
              avg = np.mean([s[1] for s in scored_list])
              std = np.std([s[1] for s in scored_list])
          else:
              avg = 0
              std = 0
          limiter = avg + 0.5 * std
          mean_scored = [(sent_idx, score) for (sent_idx, score) in scored_list if score > limiter]
          return mean_scoref filter(self, scored_list):
          '''
          Filtering with std.
  
          Args:
              scored_list:    The list of scoring.
  
          Retruns:
              The list of filtered result.
  
          '''
          if len(scored_list) > 0:
              avg = np.mean([s[1] for s in scored_list])
              std = np.std([s[1] for s in scored_list])
          else:
              avg = 0
              std = 0
          limiter = avg + 0.5 * std
          mean_scored = [(sent_idx, score) for (sent_idx, score) in scored_list if score > limiter]
          return mean_scored
docs: Filtering with std.
  
          Args:
              scored_list:    The list of scoring.
  
          Retruns:
              The list of filtered result.