Package org.apache.lucene.search.spell

Examples of org.apache.lucene.search.spell.SuggestWordQueue.pop()

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      Token token = new Token(original, suggestion.getStartOffset(), suggestion.getEndOffset());

      // get top 'count' suggestions out of 'sugQueue.size()' candidates
      SuggestWord[] suggestions = new SuggestWord[Math.min(count, sugQueue.size())];
      // skip the first sugQueue.size() - count elements
      for (int k=0; k < sugQueue.size() - count; k++) sugQueue.pop();
      // now collect the top 'count' responses
      for (int k = Math.min(count, sugQueue.size()) - 1; k >= 0; k--)  {
        suggestions[k] = sugQueue.pop();
      }
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      SuggestWord[] suggestions = new SuggestWord[Math.min(count, sugQueue.size())];
      // skip the first sugQueue.size() - count elements
      for (int k=0; k < sugQueue.size() - count; k++) sugQueue.pop();
      // now collect the top 'count' responses
      for (int k = Math.min(count, sugQueue.size()) - 1; k >= 0; k--)  {
        suggestions[k] = sugQueue.pop();
      }

      if (extendedResults) {
        Integer o = origVsFreq.get(original);
        if (o != null) result.addFrequency(token, o);
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      Token token = new Token(original, suggestion.getStartOffset(), suggestion.getEndOffset());

      // get top 'count' suggestions out of 'sugQueue.size()' candidates
      SuggestWord[] suggestions = new SuggestWord[Math.min(count, sugQueue.size())];
      // skip the first sugQueue.size() - count elements
      for (int k=0; k < sugQueue.size() - count; k++) sugQueue.pop();
      // now collect the top 'count' responses
      for (int k = Math.min(count, sugQueue.size()) - 1; k >= 0; k--)  {
        suggestions[k] = sugQueue.pop();
      }
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      SuggestWord[] suggestions = new SuggestWord[Math.min(count, sugQueue.size())];
      // skip the first sugQueue.size() - count elements
      for (int k=0; k < sugQueue.size() - count; k++) sugQueue.pop();
      // now collect the top 'count' responses
      for (int k = Math.min(count, sugQueue.size()) - 1; k >= 0; k--)  {
        suggestions[k] = sugQueue.pop();
      }

      if (extendedResults) {
        Integer o = origVsFreq.get(original);
        if (o != null) result.addFrequency(token, o);
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        }

        // convert to array string
        String[] list = new String[sugQueue.size()];
        for (int i = sugQueue.size() - 1; i >= 0; i--) {
            list[i] = ((SuggestWord) sugQueue.pop()).string;
        }

        return list;
    }
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