diff options
Diffstat (limited to 'native/jni/src/unigram_dictionary.cpp')
| -rw-r--r-- | native/jni/src/unigram_dictionary.cpp | 10 |
1 files changed, 5 insertions, 5 deletions
diff --git a/native/jni/src/unigram_dictionary.cpp b/native/jni/src/unigram_dictionary.cpp index 43fe892be..ee8c49703 100644 --- a/native/jni/src/unigram_dictionary.cpp +++ b/native/jni/src/unigram_dictionary.cpp @@ -202,7 +202,7 @@ int UnigramDictionary::getSuggestions(ProximityInfo *proximityInfo, PROF_START(20); if (DEBUG_DICT) { - double ns = queuePool->getMasterQueue()->getHighestNormalizedScore( + float ns = queuePool->getMasterQueue()->getHighestNormalizedScore( proximityInfo->getPrimaryInputWord(), codesSize, 0, 0, 0); ns += 0; AKLOGI("Max normalized score = %f", ns); @@ -212,7 +212,7 @@ int UnigramDictionary::getSuggestions(ProximityInfo *proximityInfo, proximityInfo->getPrimaryInputWord(), codesSize, frequencies, outWords); if (DEBUG_DICT) { - double ns = queuePool->getMasterQueue()->getHighestNormalizedScore( + float ns = queuePool->getMasterQueue()->getHighestNormalizedScore( proximityInfo->getPrimaryInputWord(), codesSize, 0, 0, 0); ns += 0; AKLOGI("Returning %d words", suggestedWordsCount); @@ -255,7 +255,7 @@ void UnigramDictionary::getWordSuggestions(ProximityInfo *proximityInfo, bool hasAutoCorrectionCandidate = false; WordsPriorityQueue* masterQueue = queuePool->getMasterQueue(); if (masterQueue->size() > 0) { - double nsForMaster = masterQueue->getHighestNormalizedScore( + float nsForMaster = masterQueue->getHighestNormalizedScore( proximityInfo->getPrimaryInputWord(), inputLength, 0, 0, 0); hasAutoCorrectionCandidate = (nsForMaster > START_TWO_WORDS_CORRECTION_THRESHOLD); } @@ -284,7 +284,7 @@ void UnigramDictionary::getWordSuggestions(ProximityInfo *proximityInfo, const int score = sw->mScore; const unsigned short* word = sw->mWord; const int wordLength = sw->mWordLength; - double ns = Correction::RankingAlgorithm::calcNormalizedScore( + float ns = Correction::RankingAlgorithm::calcNormalizedScore( proximityInfo->getPrimaryInputWord(), i, word, wordLength, score); ns += 0; AKLOGI("--- TOP SUB WORDS for %d --- %d %f [%d]", i, score, ns, @@ -452,7 +452,7 @@ bool UnigramDictionary::getSubStringSuggestion( return false; } int score = 0; - const double ns = queue->getHighestNormalizedScore( + const float ns = queue->getHighestNormalizedScore( proximityInfo->getPrimaryInputWord(), inputWordLength, &tempOutputWord, &score, &nextWordLength); if (DEBUG_DICT) { |