0028ed3627
Change-Id: I93ed4d88ede4058f081dd8d634b00dfff4e96d07
230 lines
7.4 KiB
C++
230 lines
7.4 KiB
C++
/*
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* Copyright (C) 2011 The Android Open Source Project
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*
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* Licensed under the Apache License, Version 2.0 (the "License");
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* you may not use this file except in compliance with the License.
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* You may obtain a copy of the License at
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*
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* http://www.apache.org/licenses/LICENSE-2.0
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*
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* Unless required by applicable law or agreed to in writing, software
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* distributed under the License is distributed on an "AS IS" BASIS,
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* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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* See the License for the specific language governing permissions and
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* limitations under the License.
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*/
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#ifndef LATINIME_WORDS_PRIORITY_QUEUE_H
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#define LATINIME_WORDS_PRIORITY_QUEUE_H
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#include <cstring> // for memcpy()
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#include <iostream>
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#include <queue>
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#include "defines.h"
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namespace latinime {
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class WordsPriorityQueue {
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public:
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class SuggestedWord {
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public:
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int mScore;
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unsigned short mWord[MAX_WORD_LENGTH_INTERNAL];
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int mWordLength;
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bool mUsed;
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void setParams(int score, unsigned short* word, int wordLength) {
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mScore = score;
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mWordLength = wordLength;
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memcpy(mWord, word, sizeof(unsigned short) * wordLength);
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mUsed = true;
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}
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};
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WordsPriorityQueue(int maxWords, int maxWordLength) :
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MAX_WORDS((unsigned int) maxWords), MAX_WORD_LENGTH(
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(unsigned int) maxWordLength) {
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mSuggestedWords = new SuggestedWord[maxWordLength];
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for (int i = 0; i < maxWordLength; ++i) {
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mSuggestedWords[i].mUsed = false;
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}
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mHighestSuggestedWord = 0;
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}
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~WordsPriorityQueue() {
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delete[] mSuggestedWords;
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}
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void push(int score, unsigned short* word, int wordLength) {
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SuggestedWord* sw = 0;
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if (mSuggestions.size() >= MAX_WORDS) {
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sw = mSuggestions.top();
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const int minScore = sw->mScore;
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if (minScore >= score) {
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return;
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} else {
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sw->mUsed = false;
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mSuggestions.pop();
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}
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}
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if (sw == 0) {
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sw = getFreeSuggestedWord(score, word, wordLength);
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} else {
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sw->setParams(score, word, wordLength);
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}
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if (sw == 0) {
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AKLOGE("SuggestedWord is accidentally null.");
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return;
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}
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if (DEBUG_WORDS_PRIORITY_QUEUE) {
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AKLOGI("Push word. %d, %d", score, wordLength);
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DUMP_WORD(word, wordLength);
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}
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mSuggestions.push(sw);
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if (!mHighestSuggestedWord || mHighestSuggestedWord->mScore < sw->mScore) {
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mHighestSuggestedWord = sw;
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}
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}
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SuggestedWord* top() {
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if (mSuggestions.empty()) return 0;
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SuggestedWord* sw = mSuggestions.top();
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return sw;
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}
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int outputSuggestions(const unsigned short* before, const int beforeLength,
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int *frequencies, unsigned short *outputChars) {
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mHighestSuggestedWord = 0;
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const unsigned int size = min(
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MAX_WORDS, static_cast<unsigned int>(mSuggestions.size()));
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SuggestedWord* swBuffer[size];
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int index = size - 1;
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while (!mSuggestions.empty() && index >= 0) {
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SuggestedWord* sw = mSuggestions.top();
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if (DEBUG_WORDS_PRIORITY_QUEUE) {
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AKLOGI("dump word. %d", sw->mScore);
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DUMP_WORD(sw->mWord, sw->mWordLength);
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}
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swBuffer[index] = sw;
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mSuggestions.pop();
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--index;
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}
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if (size >= 2) {
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SuggestedWord* nsMaxSw = 0;
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unsigned int maxIndex = 0;
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float maxNs = 0;
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for (unsigned int i = 0; i < size; ++i) {
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SuggestedWord* tempSw = swBuffer[i];
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if (!tempSw) {
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continue;
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}
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const float tempNs = getNormalizedScore(tempSw, before, beforeLength, 0, 0, 0);
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if (tempNs >= maxNs) {
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maxNs = tempNs;
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maxIndex = i;
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nsMaxSw = tempSw;
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}
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}
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if (maxIndex > 0 && nsMaxSw) {
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memmove(&swBuffer[1], &swBuffer[0], maxIndex * sizeof(SuggestedWord*));
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swBuffer[0] = nsMaxSw;
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}
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}
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for (unsigned int i = 0; i < size; ++i) {
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SuggestedWord* sw = swBuffer[i];
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if (!sw) {
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AKLOGE("SuggestedWord is null %d", i);
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continue;
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}
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const unsigned int wordLength = sw->mWordLength;
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char* targetAdr = (char*) outputChars + i * MAX_WORD_LENGTH * sizeof(short);
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frequencies[i] = sw->mScore;
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memcpy(targetAdr, sw->mWord, (wordLength) * sizeof(short));
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if (wordLength < MAX_WORD_LENGTH) {
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((unsigned short*) targetAdr)[wordLength] = 0;
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}
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sw->mUsed = false;
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}
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return size;
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}
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int size() const {
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return mSuggestions.size();
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}
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void clear() {
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mHighestSuggestedWord = 0;
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while (!mSuggestions.empty()) {
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SuggestedWord* sw = mSuggestions.top();
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if (DEBUG_WORDS_PRIORITY_QUEUE) {
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AKLOGI("Clear word. %d", sw->mScore);
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DUMP_WORD(sw->mWord, sw->mWordLength);
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}
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sw->mUsed = false;
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mSuggestions.pop();
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}
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}
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void dumpTopWord() {
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if (size() <= 0) {
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return;
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}
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DUMP_WORD(mHighestSuggestedWord->mWord, mHighestSuggestedWord->mWordLength);
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}
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float getHighestNormalizedScore(const unsigned short* before, const int beforeLength,
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unsigned short** outWord, int *outScore, int *outLength) {
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if (!mHighestSuggestedWord) {
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return 0.0;
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}
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return getNormalizedScore(
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mHighestSuggestedWord, before, beforeLength, outWord, outScore, outLength);
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}
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private:
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struct wordComparator {
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bool operator ()(SuggestedWord * left, SuggestedWord * right) {
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return left->mScore > right->mScore;
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}
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};
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SuggestedWord* getFreeSuggestedWord(int score, unsigned short* word,
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int wordLength) {
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for (unsigned int i = 0; i < MAX_WORD_LENGTH; ++i) {
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if (!mSuggestedWords[i].mUsed) {
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mSuggestedWords[i].setParams(score, word, wordLength);
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return &mSuggestedWords[i];
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}
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}
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return 0;
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}
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static float getNormalizedScore(SuggestedWord* sw, const unsigned short* before,
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const int beforeLength, unsigned short** outWord, int *outScore, int *outLength) {
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const int score = sw->mScore;
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unsigned short* word = sw->mWord;
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const int wordLength = sw->mWordLength;
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if (outScore) {
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*outScore = score;
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}
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if (outWord) {
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*outWord = word;
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}
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if (outLength) {
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*outLength = wordLength;
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}
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return Correction::RankingAlgorithm::calcNormalizedScore(
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before, beforeLength, word, wordLength, score);
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}
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typedef std::priority_queue<SuggestedWord*, std::vector<SuggestedWord*>,
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wordComparator> Suggestions;
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Suggestions mSuggestions;
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const unsigned int MAX_WORDS;
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const unsigned int MAX_WORD_LENGTH;
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SuggestedWord* mSuggestedWords;
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SuggestedWord* mHighestSuggestedWord;
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};
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}
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#endif // LATINIME_WORDS_PRIORITY_QUEUE_H
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