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am 1599feda: am dc2fb6bc: Merge "Pass the type from native code all the way to Java." into jb-mr1-dev 

* commit '1599feda42e0f0881368b948222a0667a09de728':
  Pass the type from native code all the way to Java.
main
Jean Chalard 2012-08-10 01:30:01 -07:00 committed by Android Git Automerger
parent b2bcac76e9 1599feda42
commit fdbc75e5d4
3 changed files with 23 additions and 17 deletions
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5
java/src/com/android/inputmethod/latin/BinaryDictionary.java
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@ -144,9 +144,10 @@ public class BinaryDictionary extends Dictionary {
++len; ++len;
} }
if (len > 0) { if (len > 0) {
final int score = SuggestedWordInfo.KIND_WHITELIST == mOutputTypes[j]
? SuggestedWordInfo.MAX_SCORE : mOutputScores[j];
suggestions.add(new SuggestedWordInfo( suggestions.add(new SuggestedWordInfo(
new String(mOutputChars, start, len), new String(mOutputChars, start, len), score, mOutputTypes[j], mDictType));
mOutputScores[j], SuggestedWordInfo.KIND_CORRECTION, mDictType));
} }
} }
return suggestions; return suggestions;

18
native/jni/src/unigram_dictionary.cpp
View File

@ -63,8 +63,8 @@ static inline unsigned int getCodesBufferSize(const int *codes, const int codesS
// TODO: This needs to take a const unsigned short* and not tinker with its contents // TODO: This needs to take a const unsigned short* and not tinker with its contents
static inline void addWord( static inline void addWord(
unsigned short *word, int length, int frequency, WordsPriorityQueue *queue) { unsigned short *word, int length, int frequency, WordsPriorityQueue *queue, int type) {
queue->push(frequency, word, length); queue->push(frequency, word, length, type);
} }
// Return the replacement code point for a digraph, or 0 if none. // Return the replacement code point for a digraph, or 0 if none.
@ -213,8 +213,8 @@ int UnigramDictionary::getSuggestions(ProximityInfo *proximityInfo,
AKLOGI("Max normalized score = %f", ns); AKLOGI("Max normalized score = %f", ns);
} }
const int suggestedWordsCount = const int suggestedWordsCount =
queuePool.getMasterQueue()->outputSuggestions( queuePool.getMasterQueue()->outputSuggestions(masterCorrection.getPrimaryInputWord(),
masterCorrection.getPrimaryInputWord(), codesSize, frequencies, outWords); codesSize, frequencies, outWords, outputTypes);
if (DEBUG_DICT) { if (DEBUG_DICT) {
float ns = queuePool.getMasterQueue()->getHighestNormalizedScore( float ns = queuePool.getMasterQueue()->getHighestNormalizedScore(
@ -391,7 +391,8 @@ inline void UnigramDictionary::onTerminal(const int probability,
const int finalProbability = const int finalProbability =
correction->getFinalProbability(probability, &wordPointer, &wordLength); correction->getFinalProbability(probability, &wordPointer, &wordLength);
if (finalProbability != NOT_A_PROBABILITY) { if (finalProbability != NOT_A_PROBABILITY) {
addWord(wordPointer, wordLength, finalProbability, masterQueue); addWord(wordPointer, wordLength, finalProbability, masterQueue,
Dictionary::KIND_CORRECTION);
const int shortcutProbability = finalProbability > 0 ? finalProbability - 1 : 0; const int shortcutProbability = finalProbability > 0 ? finalProbability - 1 : 0;
// Please note that the shortcut candidates will be added to the master queue only. // Please note that the shortcut candidates will be added to the master queue only.
@ -409,7 +410,7 @@ inline void UnigramDictionary::onTerminal(const int probability,
const int shortcutTargetStringLength = iterator.getNextShortcutTarget( const int shortcutTargetStringLength = iterator.getNextShortcutTarget(
MAX_WORD_LENGTH_INTERNAL, shortcutTarget); MAX_WORD_LENGTH_INTERNAL, shortcutTarget);
addWord(shortcutTarget, shortcutTargetStringLength, shortcutProbability, addWord(shortcutTarget, shortcutTargetStringLength, shortcutProbability,
masterQueue); masterQueue, Dictionary::KIND_CORRECTION);
} }
} }
} }
@ -424,7 +425,7 @@ inline void UnigramDictionary::onTerminal(const int probability,
} }
const int finalProbability = correction->getFinalProbabilityForSubQueue( const int finalProbability = correction->getFinalProbabilityForSubQueue(
probability, &wordPointer, &wordLength, inputIndex); probability, &wordPointer, &wordLength, inputIndex);
addWord(wordPointer, wordLength, finalProbability, subQueue); addWord(wordPointer, wordLength, finalProbability, subQueue, Dictionary::KIND_CORRECTION);
} }
} }
@ -572,7 +573,8 @@ int UnigramDictionary::getSubStringSuggestion(
AKLOGI("Split two words: freq = %d, length = %d, %d, isSpace ? %d", pairFreq, AKLOGI("Split two words: freq = %d, length = %d, %d, isSpace ? %d", pairFreq,
inputLength, tempOutputWordLength, isSpaceProximity); inputLength, tempOutputWordLength, isSpaceProximity);
} }
addWord(outputWord, tempOutputWordLength, pairFreq, queuePool->getMasterQueue()); addWord(outputWord, tempOutputWordLength, pairFreq, queuePool->getMasterQueue(),
Dictionary::KIND_CORRECTION);
} }
return FLAG_MULTIPLE_SUGGEST_CONTINUE; return FLAG_MULTIPLE_SUGGEST_CONTINUE;
} }

17
native/jni/src/words_priority_queue.h
View File

@ -33,12 +33,14 @@ class WordsPriorityQueue {
unsigned short mWord[MAX_WORD_LENGTH_INTERNAL]; unsigned short mWord[MAX_WORD_LENGTH_INTERNAL];
int mWordLength; int mWordLength;
bool mUsed; bool mUsed;
int mType;
void setParams(int score, unsigned short *word, int wordLength) { void setParams(int score, unsigned short *word, int wordLength, int type) {
mScore = score; mScore = score;
mWordLength = wordLength; mWordLength = wordLength;
memcpy(mWord, word, sizeof(unsigned short) * wordLength); memcpy(mWord, word, sizeof(unsigned short) * wordLength);
mUsed = true; mUsed = true;
mType = type;
} }
}; };
@ -56,7 +58,7 @@ class WordsPriorityQueue {
delete[] mSuggestedWords; delete[] mSuggestedWords;
} }
void push(int score, unsigned short *word, int wordLength) { void push(int score, unsigned short *word, int wordLength, int type) {
SuggestedWord *sw = 0; SuggestedWord *sw = 0;
if (mSuggestions.size() >= MAX_WORDS) { if (mSuggestions.size() >= MAX_WORDS) {
sw = mSuggestions.top(); sw = mSuggestions.top();
@ -69,9 +71,9 @@ class WordsPriorityQueue {
} }
} }
if (sw == 0) { if (sw == 0) {
sw = getFreeSuggestedWord(score, word, wordLength); sw = getFreeSuggestedWord(score, word, wordLength, type);
} else { } else {
sw->setParams(score, word, wordLength); sw->setParams(score, word, wordLength, type);
} }
if (sw == 0) { if (sw == 0) {
AKLOGE("SuggestedWord is accidentally null."); AKLOGE("SuggestedWord is accidentally null.");
@ -94,7 +96,7 @@ class WordsPriorityQueue {
} }
int outputSuggestions(const unsigned short *before, const int beforeLength, int outputSuggestions(const unsigned short *before, const int beforeLength,
int *frequencies, unsigned short *outputChars) { int *frequencies, unsigned short *outputChars, int* outputTypes) {
mHighestSuggestedWord = 0; mHighestSuggestedWord = 0;
const unsigned int size = min( const unsigned int size = min(
MAX_WORDS, static_cast<unsigned int>(mSuggestions.size())); MAX_WORDS, static_cast<unsigned int>(mSuggestions.size()));
@ -140,6 +142,7 @@ class WordsPriorityQueue {
const unsigned int wordLength = sw->mWordLength; const unsigned int wordLength = sw->mWordLength;
char *targetAdr = (char*) outputChars + i * MAX_WORD_LENGTH * sizeof(short); char *targetAdr = (char*) outputChars + i * MAX_WORD_LENGTH * sizeof(short);
frequencies[i] = sw->mScore; frequencies[i] = sw->mScore;
outputTypes[i] = sw->mType;
memcpy(targetAdr, sw->mWord, (wordLength) * sizeof(short)); memcpy(targetAdr, sw->mWord, (wordLength) * sizeof(short));
if (wordLength < MAX_WORD_LENGTH) { if (wordLength < MAX_WORD_LENGTH) {
((unsigned short*) targetAdr)[wordLength] = 0; ((unsigned short*) targetAdr)[wordLength] = 0;
@ -191,10 +194,10 @@ class WordsPriorityQueue {
}; };
SuggestedWord *getFreeSuggestedWord(int score, unsigned short *word, SuggestedWord *getFreeSuggestedWord(int score, unsigned short *word,
int wordLength) { int wordLength, int type) {
for (unsigned int i = 0; i < MAX_WORD_LENGTH; ++i) { for (unsigned int i = 0; i < MAX_WORD_LENGTH; ++i) {
if (!mSuggestedWords[i].mUsed) { if (!mSuggestedWords[i].mUsed) {
mSuggestedWords[i].setParams(score, word, wordLength); mSuggestedWords[i].setParams(score, word, wordLength, type);
return &mSuggestedWords[i]; return &mSuggestedWords[i];
} }
} }