Merge "Use SuggestionResults to get suggestion."
commit
618a949f9d
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@ -199,47 +199,30 @@ static void latinime_BinaryDictionary_getSuggestions(JNIEnv *env, jclass clazz,
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ASSERT(false);
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return;
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}
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int outputCodePoints[outputCodePointsLength];
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int scores[scoresLength];
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const jsize spaceIndicesLength = env->GetArrayLength(outSpaceIndicesArray);
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int spaceIndices[spaceIndicesLength];
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const jsize outputTypesLength = env->GetArrayLength(outTypesArray);
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int outputTypes[outputTypesLength];
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const jsize outputAutoCommitFirstWordConfidenceLength =
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env->GetArrayLength(outAutoCommitFirstWordConfidenceArray);
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// We only use the first result, as obviously we will only ever autocommit the first one
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ASSERT(outputAutoCommitFirstWordConfidenceLength == 1);
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int outputAutoCommitFirstWordConfidence[outputAutoCommitFirstWordConfidenceLength];
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memset(outputCodePoints, 0, sizeof(outputCodePoints));
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memset(scores, 0, sizeof(scores));
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memset(spaceIndices, 0, sizeof(spaceIndices));
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memset(outputTypes, 0, sizeof(outputTypes));
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memset(outputAutoCommitFirstWordConfidence, 0, sizeof(outputAutoCommitFirstWordConfidence));
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if (givenSuggestOptions.isGesture() || inputSize > 0) {
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// TODO: Use SuggestionResults to return suggestions.
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count = dictionary->getSuggestions(pInfo, traverseSession, xCoordinates, yCoordinates,
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times, pointerIds, inputCodePoints, inputSize, prevWordCodePoints,
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prevWordCodePointsLength, &givenSuggestOptions, outputCodePoints,
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scores, spaceIndices, outputTypes, outputAutoCommitFirstWordConfidence);
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} else {
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SuggestionResults suggestionResults(MAX_RESULTS);
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dictionary->getPredictions(prevWordCodePoints, prevWordCodePointsLength,
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&suggestionResults);
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suggestionResults.outputSuggestions(env, outSuggestionCount, outCodePointsArray,
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outScoresArray, outSpaceIndicesArray, outTypesArray,
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outAutoCommitFirstWordConfidenceArray);
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if (outputAutoCommitFirstWordConfidenceLength != 1) {
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// We only use the first result, as obviously we will only ever autocommit the first one
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AKLOGE("Invalid outputAutoCommitFirstWordConfidenceLength: %d",
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outputAutoCommitFirstWordConfidenceLength);
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ASSERT(false);
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return;
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}
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// Copy back the output values
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env->SetIntArrayRegion(outSuggestionCount, 0, 1 /* len */, &count);
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env->SetIntArrayRegion(outCodePointsArray, 0, outputCodePointsLength, outputCodePoints);
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env->SetIntArrayRegion(outScoresArray, 0, scoresLength, scores);
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env->SetIntArrayRegion(outSpaceIndicesArray, 0, spaceIndicesLength, spaceIndices);
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env->SetIntArrayRegion(outTypesArray, 0, outputTypesLength, outputTypes);
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env->SetIntArrayRegion(outAutoCommitFirstWordConfidenceArray, 0,
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outputAutoCommitFirstWordConfidenceLength, outputAutoCommitFirstWordConfidence);
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SuggestionResults suggestionResults(MAX_RESULTS);
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if (givenSuggestOptions.isGesture() || inputSize > 0) {
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// TODO: Use SuggestionResults to return suggestions.
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dictionary->getSuggestions(pInfo, traverseSession, xCoordinates, yCoordinates,
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times, pointerIds, inputCodePoints, inputSize, prevWordCodePoints,
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prevWordCodePointsLength, &givenSuggestOptions, &suggestionResults);
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} else {
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dictionary->getPredictions(prevWordCodePoints, prevWordCodePointsLength,
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&suggestionResults);
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}
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suggestionResults.outputSuggestions(env, outSuggestionCount, outCodePointsArray,
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outScoresArray, outSpaceIndicesArray, outTypesArray,
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outAutoCommitFirstWordConfidenceArray);
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}
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static jint latinime_BinaryDictionary_getProbability(JNIEnv *env, jclass clazz, jlong dict,
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@ -103,7 +103,8 @@ AK_FORCE_INLINE static int intArrayToCharArray(const int *const source, const in
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#define AKLOGI(fmt, ...) __android_log_print(ANDROID_LOG_INFO, LOG_TAG, fmt, ##__VA_ARGS__)
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#endif // defined(HOST_TOOL)
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#define DUMP_RESULT(words, frequencies) do { dumpResult(words, frequencies); } while (0)
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#define DUMP_SUGGESTION(words, frequencies, index, score) \
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do { dumpWordInfo(words, frequencies, index, score); } while (0)
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#define DUMP_WORD(word, length) do { dumpWord(word, length); } while (0)
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#define INTS_TO_CHARS(input, length, output, outlength) do { \
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intArrayToCharArray(input, length, output, outlength); } while (0)
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@ -165,7 +166,7 @@ static inline void showStackTrace() {
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#else // defined(FLAG_DO_PROFILE) || defined(FLAG_DBG)
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#define AKLOGE(fmt, ...)
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#define AKLOGI(fmt, ...)
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#define DUMP_RESULT(words, frequencies)
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#define DUMP_SUGGESTION(words, frequencies, index, score)
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#define DUMP_WORD(word, length)
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#undef DO_ASSERT_TEST
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#define ASSERT(success)
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@ -22,6 +22,7 @@
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#include "defines.h"
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#include "suggest/core/policy/dictionary_header_structure_policy.h"
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#include "suggest/core/result/suggestion_results.h"
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#include "suggest/core/session/dic_traverse_session.h"
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#include "suggest/core/suggest.h"
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#include "suggest/core/suggest_options.h"
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@ -43,34 +44,25 @@ Dictionary::Dictionary(JNIEnv *env, DictionaryStructureWithBufferPolicy::Structu
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logDictionaryInfo(env);
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}
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int Dictionary::getSuggestions(ProximityInfo *proximityInfo, DicTraverseSession *traverseSession,
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void Dictionary::getSuggestions(ProximityInfo *proximityInfo, DicTraverseSession *traverseSession,
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int *xcoordinates, int *ycoordinates, int *times, int *pointerIds, int *inputCodePoints,
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int inputSize, int *prevWordCodePoints, int prevWordLength,
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const SuggestOptions *const suggestOptions, int *outWords, int *outputScores,
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int *spaceIndices, int *outputTypes, int *outputAutoCommitFirstWordConfidence) const {
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const SuggestOptions *const suggestOptions,
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SuggestionResults *const outSuggestionResults) const {
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TimeKeeper::setCurrentTime();
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int result = 0;
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DicTraverseSession::initSessionInstance(
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traverseSession, this, prevWordCodePoints, prevWordLength, suggestOptions);
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if (suggestOptions->isGesture()) {
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DicTraverseSession::initSessionInstance(
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traverseSession, this, prevWordCodePoints, prevWordLength, suggestOptions);
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result = mGestureSuggest->getSuggestions(proximityInfo, traverseSession, xcoordinates,
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ycoordinates, times, pointerIds, inputCodePoints, inputSize, outWords,
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outputScores, spaceIndices, outputTypes, outputAutoCommitFirstWordConfidence);
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if (DEBUG_DICT) {
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DUMP_RESULT(outWords, outputScores);
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}
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return result;
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} else {
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DicTraverseSession::initSessionInstance(
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traverseSession, this, prevWordCodePoints, prevWordLength, suggestOptions);
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result = mTypingSuggest->getSuggestions(proximityInfo, traverseSession, xcoordinates,
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mGestureSuggest->getSuggestions(proximityInfo, traverseSession, xcoordinates,
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ycoordinates, times, pointerIds, inputCodePoints, inputSize,
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outWords, outputScores, spaceIndices, outputTypes,
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outputAutoCommitFirstWordConfidence);
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if (DEBUG_DICT) {
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DUMP_RESULT(outWords, outputScores);
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outSuggestionResults);
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} else {
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mTypingSuggest->getSuggestions(proximityInfo, traverseSession, xcoordinates,
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ycoordinates, times, pointerIds, inputCodePoints, inputSize,
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outSuggestionResults);
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}
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return result;
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if (DEBUG_DICT) {
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outSuggestionResults->dumpSuggestions();
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}
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}
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@ -62,11 +62,11 @@ class Dictionary {
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Dictionary(JNIEnv *env, DictionaryStructureWithBufferPolicy::StructurePolicyPtr
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dictionaryStructureWithBufferPolicy);
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int getSuggestions(ProximityInfo *proximityInfo, DicTraverseSession *traverseSession,
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void getSuggestions(ProximityInfo *proximityInfo, DicTraverseSession *traverseSession,
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int *xcoordinates, int *ycoordinates, int *times, int *pointerIds, int *inputCodePoints,
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int inputSize, int *prevWordCodePoints, int prevWordLength,
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const SuggestOptions *const suggestOptions, int *outWords, int *outputScores,
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int *spaceIndices, int *outputTypes, int *outputAutoCommitFirstWordConfidence) const;
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const SuggestOptions *const suggestOptions,
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SuggestionResults *const outSuggestionResults) const;
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void getPredictions(const int *word, int length,
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SuggestionResults *const outSuggestionResults) const;
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@ -23,6 +23,7 @@ namespace latinime {
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class DicNode;
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class DicTraverseSession;
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class SuggestionResults;
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// This class basically tweaks suggestions and distances apart from CompoundDistance
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class Scoring {
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@ -30,11 +31,8 @@ class Scoring {
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virtual int calculateFinalScore(const float compoundDistance, const int inputSize,
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const ErrorTypeUtils::ErrorType containedErrorTypes, const bool forceCommit,
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const bool boostExactMatches) const = 0;
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virtual bool getMostProbableString(const DicTraverseSession *const traverseSession,
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const int terminalSize, const float languageWeight, int *const outputCodePoints,
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int *const type, int *const freq) const = 0;
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virtual void safetyNetForMostProbableString(const int scoreCount,
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const int maxScore, int *const outputCodePoints, int *const scores) const = 0;
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virtual void getMostProbableString(const DicTraverseSession *const traverseSession,
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const float languageWeight, SuggestionResults *const outSuggestionResults) const = 0;
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virtual float getAdjustedLanguageWeight(DicTraverseSession *const traverseSession,
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DicNode *const terminals, const int size) const = 0;
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virtual float getDoubleLetterDemotionDistanceCost(
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@ -54,13 +54,23 @@ void SuggestionResults::outputSuggestions(JNIEnv *env, jintArray outSuggestionCo
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void SuggestionResults::addPrediction(const int *const codePoints, const int codePointCount,
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const int probability) {
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if (codePointCount <= 0 || codePointCount > MAX_WORD_LENGTH
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|| probability == NOT_A_PROBABILITY) {
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if (probability == NOT_A_PROBABILITY) {
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// Invalid word.
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return;
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}
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// Use probability as a score of the word.
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const int score = probability;
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addSuggestion(codePoints, codePointCount, probability, Dictionary::KIND_PREDICTION,
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NOT_AN_INDEX, NOT_A_FIRST_WORD_CONFIDENCE);
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}
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void SuggestionResults::addSuggestion(const int *const codePoints, const int codePointCount,
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const int score, const int type, const int indexToPartialCommit,
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const int autocimmitFirstWordConfindence) {
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if (codePointCount <= 0 || codePointCount > MAX_WORD_LENGTH) {
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// Invalid word.
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AKLOGE("Invalid word is added to the suggestion results. codePointCount: %d",
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codePointCount);
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return;
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}
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if (getSuggestionCount() >= mMaxSuggestionCount) {
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const SuggestedWord &mWorstSuggestion = mSuggestedWords.top();
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if (score > mWorstSuggestion.getScore() || (score == mWorstSuggestion.getScore()
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@ -70,8 +80,31 @@ void SuggestionResults::addPrediction(const int *const codePoints, const int cod
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return;
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}
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}
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mSuggestedWords.push(SuggestedWord(codePoints, codePointCount, score,
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Dictionary::KIND_PREDICTION, NOT_AN_INDEX, NOT_A_FIRST_WORD_CONFIDENCE));
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mSuggestedWords.push(SuggestedWord(codePoints, codePointCount, score, type,
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indexToPartialCommit, autocimmitFirstWordConfindence));
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}
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void SuggestionResults::getSortedScores(int *const outScores) const {
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auto copyOfSuggestedWords = mSuggestedWords;
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while (!copyOfSuggestedWords.empty()) {
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const SuggestedWord &suggestedWord = copyOfSuggestedWords.top();
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outScores[copyOfSuggestedWords.size() - 1] = suggestedWord.getScore();
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copyOfSuggestedWords.pop();
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}
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}
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void SuggestionResults::dumpSuggestions() const {
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std::vector<SuggestedWord> suggestedWords;
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auto copyOfSuggestedWords = mSuggestedWords;
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while (!copyOfSuggestedWords.empty()) {
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suggestedWords.push_back(copyOfSuggestedWords.top());
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copyOfSuggestedWords.pop();
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}
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int index = 0;
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for (auto it = suggestedWords.rbegin(); it != suggestedWords.rend(); ++it) {
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DUMP_SUGGESTION(it->getCodePoint(), it->getCodePointCount(), index, it->getScore());
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index++;
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}
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}
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} // namespace latinime
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@ -35,8 +35,12 @@ class SuggestionResults {
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void outputSuggestions(JNIEnv *env, jintArray outSuggestionCount, jintArray outCodePointsArray,
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jintArray outScoresArray, jintArray outSpaceIndicesArray, jintArray outTypesArray,
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jintArray outAutoCommitFirstWordConfidenceArray);
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void addPrediction(const int *const codePoints, const int codePointCount, const int score);
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void addSuggestion(const int *const codePoints, const int codePointCount,
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const int score, const int type, const int indexToPartialCommit,
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const int autocimmitFirstWordConfindence);
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void getSortedScores(int *const outScores) const;
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void dumpSuggestions() const;
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int getSuggestionCount() const {
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return mSuggestedWords.size();
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@ -24,6 +24,7 @@
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#include "suggest/core/dictionary/dictionary.h"
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#include "suggest/core/dictionary/error_type_utils.h"
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#include "suggest/core/policy/scoring.h"
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#include "suggest/core/result/suggestion_results.h"
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#include "suggest/core/session/dic_traverse_session.h"
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namespace latinime {
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@ -31,10 +32,9 @@ namespace latinime {
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const int SuggestionsOutputUtils::MIN_LEN_FOR_MULTI_WORD_AUTOCORRECT = 16;
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// TODO: Split this method.
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/* static */ int SuggestionsOutputUtils::outputSuggestions(
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/* static */ void SuggestionsOutputUtils::outputSuggestions(
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const Scoring *const scoringPolicy, DicTraverseSession *traverseSession,
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int *outputScores, int *outputCodePoints, int *outputIndicesToPartialCommit,
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int *outputTypes, int *outputAutoCommitFirstWordConfidence) {
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SuggestionResults *const outSuggestionResults) {
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#if DEBUG_EVALUATE_MOST_PROBABLE_STRING
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const int terminalSize = 0;
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#else
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@ -49,18 +49,6 @@ const int SuggestionsOutputUtils::MIN_LEN_FOR_MULTI_WORD_AUTOCORRECT = 16;
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const float languageWeight = scoringPolicy->getAdjustedLanguageWeight(
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traverseSession, terminals, terminalSize);
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int outputWordIndex = 0;
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// Insert most probable word at index == 0 as long as there is one terminal at least
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const bool hasMostProbableString =
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scoringPolicy->getMostProbableString(traverseSession, terminalSize, languageWeight,
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&outputCodePoints[0], &outputTypes[0], &outputScores[0]);
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if (hasMostProbableString) {
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outputIndicesToPartialCommit[outputWordIndex] = NOT_AN_INDEX;
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++outputWordIndex;
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}
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int maxScore = S_INT_MIN;
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// Force autocorrection for obvious long multi-word suggestions when the top suggestion is
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// a long multiple words suggestion.
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// TODO: Implement a smarter auto-commit method for handling multi-word suggestions.
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@ -75,16 +63,12 @@ const int SuggestionsOutputUtils::MIN_LEN_FOR_MULTI_WORD_AUTOCORRECT = 16;
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// TODO: have partial commit work even with multiple pointers.
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const bool outputSecondWordFirstLetterInputIndex =
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traverseSession->isOnlyOnePointerUsed(0 /* pointerId */);
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if (terminalSize > 0) {
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// If we have no suggestions, don't write this
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outputAutoCommitFirstWordConfidence[0] =
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computeFirstWordConfidence(&terminals[0]);
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}
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const bool boostExactMatches = traverseSession->getDictionaryStructurePolicy()->
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getHeaderStructurePolicy()->shouldBoostExactMatches();
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int codePoints[MAX_WORD_LENGTH];
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// Output suggestion results here
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for (int terminalIndex = 0; terminalIndex < terminalSize && outputWordIndex < MAX_RESULTS;
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++terminalIndex) {
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for (int terminalIndex = 0; terminalIndex < terminalSize; ++terminalIndex) {
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DicNode *terminalDicNode = &terminals[terminalIndex];
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if (DEBUG_GEO_FULL) {
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terminalDicNode->dump("OUT:");
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@ -118,25 +102,18 @@ const int SuggestionsOutputUtils::MIN_LEN_FOR_MULTI_WORD_AUTOCORRECT = 16;
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(forceCommitMultiWords && terminalDicNode->hasMultipleWords())
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|| (isValidWord && scoringPolicy->doesAutoCorrectValidWord()),
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boostExactMatches);
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if (maxScore < finalScore && isValidWord) {
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maxScore = finalScore;
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}
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// Don't output invalid words. However, we still need to submit their shortcuts if any.
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if (isValidWord) {
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outputTypes[outputWordIndex] = Dictionary::KIND_CORRECTION | outputTypeFlags;
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outputScores[outputWordIndex] = finalScore;
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if (outputSecondWordFirstLetterInputIndex) {
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outputIndicesToPartialCommit[outputWordIndex] =
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terminalDicNode->outputResult(codePoints);
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const int indexToPartialCommit = outputSecondWordFirstLetterInputIndex ?
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terminalDicNode->getSecondWordFirstInputIndex(
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traverseSession->getProximityInfoState(0));
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} else {
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outputIndicesToPartialCommit[outputWordIndex] = NOT_AN_INDEX;
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}
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// Populate the outputChars array with the suggested word.
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const int startIndex = outputWordIndex * MAX_WORD_LENGTH;
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terminalDicNode->outputResult(&outputCodePoints[startIndex]);
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++outputWordIndex;
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traverseSession->getProximityInfoState(0)) :
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NOT_AN_INDEX;
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outSuggestionResults->addSuggestion(codePoints,
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terminalDicNode->getTotalNodeCodePointCount(),
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finalScore, Dictionary::KIND_CORRECTION | outputTypeFlags,
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indexToPartialCommit, computeFirstWordConfidence(terminalDicNode));
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}
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if (!terminalDicNode->hasMultipleWords()) {
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@ -152,28 +129,11 @@ const int SuggestionsOutputUtils::MIN_LEN_FOR_MULTI_WORD_AUTOCORRECT = 16;
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traverseSession->getInputSize(),
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terminalDicNode->getContainedErrorTypes(),
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true /* forceCommit */, boostExactMatches) : finalScore;
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const int updatedOutputWordIndex = outputShortcuts(&shortcutIt,
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outputWordIndex, shortcutBaseScore, outputCodePoints, outputScores, outputTypes,
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sameAsTyped);
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const int secondWordFirstInputIndex = terminalDicNode->getSecondWordFirstInputIndex(
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traverseSession->getProximityInfoState(0));
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for (int i = outputWordIndex; i < updatedOutputWordIndex; ++i) {
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if (outputSecondWordFirstLetterInputIndex) {
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outputIndicesToPartialCommit[i] = secondWordFirstInputIndex;
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} else {
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outputIndicesToPartialCommit[i] = NOT_AN_INDEX;
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}
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}
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outputWordIndex = updatedOutputWordIndex;
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outputShortcuts(&shortcutIt, shortcutBaseScore, sameAsTyped, outSuggestionResults);
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}
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DicNode::managedDelete(terminalDicNode);
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}
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if (hasMostProbableString) {
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scoringPolicy->safetyNetForMostProbableString(outputWordIndex, maxScore,
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&outputCodePoints[0], outputScores);
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}
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return outputWordIndex;
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scoringPolicy->getMostProbableString(traverseSession, languageWeight, outSuggestionResults);
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}
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/* static */ int SuggestionsOutputUtils::computeFirstWordConfidence(
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@ -228,12 +188,11 @@ const int SuggestionsOutputUtils::MIN_LEN_FOR_MULTI_WORD_AUTOCORRECT = 16;
|
|||
return distanceContribution + lengthContribution + spaceContribution;
|
||||
}
|
||||
|
||||
/* static */ int SuggestionsOutputUtils::outputShortcuts(
|
||||
BinaryDictionaryShortcutIterator *const shortcutIt,
|
||||
int outputWordIndex, const int finalScore, int *const outputCodePoints,
|
||||
int *const outputScores, int *const outputTypes, const bool sameAsTyped) {
|
||||
/* static */ void SuggestionsOutputUtils::outputShortcuts(
|
||||
BinaryDictionaryShortcutIterator *const shortcutIt, const int finalScore,
|
||||
const bool sameAsTyped, SuggestionResults *const outSuggestionResults) {
|
||||
int shortcutTarget[MAX_WORD_LENGTH];
|
||||
while (shortcutIt->hasNextShortcutTarget() && outputWordIndex < MAX_RESULTS) {
|
||||
while (shortcutIt->hasNextShortcutTarget()) {
|
||||
bool isWhilelist;
|
||||
int shortcutTargetStringLength;
|
||||
shortcutIt->nextShortcutTarget(MAX_WORD_LENGTH, shortcutTarget,
|
||||
|
@ -250,15 +209,9 @@ const int SuggestionsOutputUtils::MIN_LEN_FOR_MULTI_WORD_AUTOCORRECT = 16;
|
|||
shortcutScore = std::max(S_INT_MIN + 1, shortcutScore) - 1;
|
||||
kind = Dictionary::KIND_SHORTCUT;
|
||||
}
|
||||
outputTypes[outputWordIndex] = kind;
|
||||
outputScores[outputWordIndex] = shortcutScore;
|
||||
outputScores[outputWordIndex] = std::max(S_INT_MIN + 1, shortcutScore) - 1;
|
||||
const int startIndex2 = outputWordIndex * MAX_WORD_LENGTH;
|
||||
// Copy shortcut target code points to the output buffer.
|
||||
memmove(&outputCodePoints[startIndex2], shortcutTarget,
|
||||
shortcutTargetStringLength * sizeof(shortcutTarget[0]));
|
||||
++outputWordIndex;
|
||||
outSuggestionResults->addSuggestion(shortcutTarget, shortcutTargetStringLength,
|
||||
std::max(S_INT_MIN + 1, shortcutScore) - 1, kind, NOT_AN_INDEX,
|
||||
NOT_A_FIRST_WORD_CONFIDENCE);
|
||||
}
|
||||
return outputWordIndex;
|
||||
}
|
||||
} // namespace latinime
|
||||
|
|
|
@ -25,16 +25,15 @@ class BinaryDictionaryShortcutIterator;
|
|||
class DicNode;
|
||||
class DicTraverseSession;
|
||||
class Scoring;
|
||||
class SuggestionResults;
|
||||
|
||||
class SuggestionsOutputUtils {
|
||||
public:
|
||||
/**
|
||||
* Outputs the final list of suggestions (i.e., terminal nodes).
|
||||
*/
|
||||
static int outputSuggestions(const Scoring *const scoringPolicy,
|
||||
DicTraverseSession *traverseSession, int *outputScores, int *outputCodePoints,
|
||||
int *outputIndicesToPartialCommit, int *outputTypes,
|
||||
int *outputAutoCommitFirstWordConfidence);
|
||||
static void outputSuggestions(const Scoring *const scoringPolicy,
|
||||
DicTraverseSession *traverseSession, SuggestionResults *const outSuggestionResults);
|
||||
|
||||
private:
|
||||
DISALLOW_IMPLICIT_CONSTRUCTORS(SuggestionsOutputUtils);
|
||||
|
@ -44,9 +43,9 @@ class SuggestionsOutputUtils {
|
|||
|
||||
static int computeFirstWordConfidence(const DicNode *const terminalDicNode);
|
||||
|
||||
static int outputShortcuts(BinaryDictionaryShortcutIterator *const shortcutIt,
|
||||
int outputWordIndex, const int finalScore, int *const outputCodePoints,
|
||||
int *const outputScores, int *const outputTypes, const bool sameAsTyped);
|
||||
static void outputShortcuts(BinaryDictionaryShortcutIterator *const shortcutIt,
|
||||
const int finalScore, const bool sameAsTyped,
|
||||
SuggestionResults *const outSuggestionResults);
|
||||
};
|
||||
} // namespace latinime
|
||||
#endif // LATINIME_SUGGESTIONS_OUTPUT_UTILS
|
||||
|
|
|
@ -42,10 +42,9 @@ const int Suggest::MIN_CONTINUOUS_SUGGESTION_INPUT_SIZE = 2;
|
|||
* automatically activated for sequential calls that share the same starting input.
|
||||
* TODO: Stop detecting continuous suggestion. Start using traverseSession instead.
|
||||
*/
|
||||
int Suggest::getSuggestions(ProximityInfo *pInfo, void *traverseSession,
|
||||
void Suggest::getSuggestions(ProximityInfo *pInfo, void *traverseSession,
|
||||
int *inputXs, int *inputYs, int *times, int *pointerIds, int *inputCodePoints,
|
||||
int inputSize, int *outWords, int *outputScores, int *outputIndices,
|
||||
int *outputTypes, int *outputAutoCommitFirstWordConfidence) const {
|
||||
int inputSize, SuggestionResults *const outSuggestionResults) const {
|
||||
PROF_OPEN;
|
||||
PROF_START(0);
|
||||
const float maxSpatialDistance = TRAVERSAL->getMaxSpatialDistance();
|
||||
|
@ -66,11 +65,9 @@ int Suggest::getSuggestions(ProximityInfo *pInfo, void *traverseSession,
|
|||
}
|
||||
PROF_END(1);
|
||||
PROF_START(2);
|
||||
const int size = SuggestionsOutputUtils::outputSuggestions(SCORING, tSession, outputScores,
|
||||
outWords, outputIndices, outputTypes, outputAutoCommitFirstWordConfidence);
|
||||
SuggestionsOutputUtils::outputSuggestions(SCORING, tSession, outSuggestionResults);
|
||||
PROF_END(2);
|
||||
PROF_CLOSE;
|
||||
return size;
|
||||
}
|
||||
|
||||
/**
|
||||
|
|
|
@ -36,6 +36,7 @@ class DicNode;
|
|||
class DicTraverseSession;
|
||||
class ProximityInfo;
|
||||
class Scoring;
|
||||
class SuggestionResults;
|
||||
class Traversal;
|
||||
class Weighting;
|
||||
|
||||
|
@ -46,10 +47,9 @@ class Suggest : public SuggestInterface {
|
|||
SCORING(suggestPolicy ? suggestPolicy->getScoring() : nullptr),
|
||||
WEIGHTING(suggestPolicy ? suggestPolicy->getWeighting() : nullptr) {}
|
||||
AK_FORCE_INLINE virtual ~Suggest() {}
|
||||
int getSuggestions(ProximityInfo *pInfo, void *traverseSession, int *inputXs, int *inputYs,
|
||||
int *times, int *pointerIds, int *inputCodePoints, int inputSize, int *outWords,
|
||||
int *outputScores, int *outputIndices, int *outputTypes,
|
||||
int *outputAutoCommitFirstWordConfidence) const;
|
||||
void getSuggestions(ProximityInfo *pInfo, void *traverseSession, int *inputXs, int *inputYs,
|
||||
int *times, int *pointerIds, int *inputCodePoints, int inputSize,
|
||||
SuggestionResults *const outSuggestionResults) const;
|
||||
|
||||
private:
|
||||
DISALLOW_IMPLICIT_CONSTRUCTORS(Suggest);
|
||||
|
|
|
@ -22,13 +22,13 @@
|
|||
namespace latinime {
|
||||
|
||||
class ProximityInfo;
|
||||
class SuggestionResults;
|
||||
|
||||
class SuggestInterface {
|
||||
public:
|
||||
virtual int getSuggestions(ProximityInfo *pInfo, void *traverseSession, int *inputXs,
|
||||
virtual void getSuggestions(ProximityInfo *pInfo, void *traverseSession, int *inputXs,
|
||||
int *inputYs, int *times, int *pointerIds, int *inputCodePoints, int inputSize,
|
||||
int *outWords, int *outputScores, int *outputIndices, int *outputTypes,
|
||||
int *outputAutoCommitFirstWordConfidence) const = 0;
|
||||
SuggestionResults *const suggestionResults) const = 0;
|
||||
SuggestInterface() {}
|
||||
virtual ~SuggestInterface() {}
|
||||
private:
|
||||
|
|
|
@ -32,15 +32,8 @@ class TypingScoring : public Scoring {
|
|||
public:
|
||||
static const TypingScoring *getInstance() { return &sInstance; }
|
||||
|
||||
AK_FORCE_INLINE bool getMostProbableString(const DicTraverseSession *const traverseSession,
|
||||
const int terminalSize, const float languageWeight, int *const outputCodePoints,
|
||||
int *const type, int *const freq) const {
|
||||
return false;
|
||||
}
|
||||
|
||||
AK_FORCE_INLINE void safetyNetForMostProbableString(const int scoreCount, const int maxScore,
|
||||
int *const outputCodePoints, int *const scores) const {
|
||||
}
|
||||
AK_FORCE_INLINE void getMostProbableString(const DicTraverseSession *const traverseSession,
|
||||
const float languageWeight, SuggestionResults *const outSuggestionResults) const {}
|
||||
|
||||
AK_FORCE_INLINE float getAdjustedLanguageWeight(DicTraverseSession *const traverseSession,
|
||||
DicNode *const terminals, const int size) const {
|
||||
|
|
Loading…
Reference in New Issue