Refactor most probable string
Change-Id: I96597decf5e36d9ce088c34427915f2379255054main
parent
52a0d491b4
commit
20b6775acc
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@ -14,7 +14,7 @@
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* limitations under the License.
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*/
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#include <cstring> // for memset()
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#include <cstring> // for memset() and memcpy()
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#include <sstream> // for debug prints
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#define LOG_TAG "LatinIME: proximity_info_state.cpp"
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@ -59,12 +59,15 @@ void ProximityInfoState::initInputParams(const int pointerId, const float maxPoi
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int pushTouchPointStartIndex = 0;
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int lastSavedInputSize = 0;
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mMaxPointToKeyLength = maxPointToKeyLength;
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mSampledInputSize = 0;
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mMostProbableStringProbability = 0.0f;
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if (mIsContinuationPossible && mSampledInputIndice.size() > 1) {
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// Just update difference.
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// Two points prior is never skipped. Thus, we pop 2 input point data here.
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pushTouchPointStartIndex = mSampledInputIndice[mSampledInputIndice.size() - 2];
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popInputData();
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popInputData();
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// Previous two points are never skipped. Thus, we pop 2 input point data here.
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pushTouchPointStartIndex = ProximityInfoStateUtils::trimLastTwoTouchPoints(
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&mSampledInputXs, &mSampledInputYs, &mSampledTimes, &mSampledLengthCache,
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&mSampledInputIndice);
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lastSavedInputSize = mSampledInputXs.size();
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} else {
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// Clear all data.
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@ -81,11 +84,11 @@ void ProximityInfoState::initInputParams(const int pointerId, const float maxPoi
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mCharProbabilities.clear();
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mDirections.clear();
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}
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if (DEBUG_GEO_FULL) {
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AKLOGI("Init ProximityInfoState: reused points = %d, last input size = %d",
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pushTouchPointStartIndex, lastSavedInputSize);
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}
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mSampledInputSize = 0;
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if (xCoordinates && yCoordinates) {
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mSampledInputSize = ProximityInfoStateUtils::updateTouchPoints(
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@ -121,6 +124,9 @@ void ProximityInfoState::initInputParams(const int pointerId, const float maxPoi
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ProximityInfoStateUtils::updateSampledSearchKeysVector(mProximityInfo,
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mSampledInputSize, lastSavedInputSize, &mSampledLengthCache,
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&mSampledNearKeysVector, &mSampledSearchKeysVector);
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mMostProbableStringProbability = ProximityInfoStateUtils::getMostProbableString(
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mProximityInfo, mSampledInputSize, &mCharProbabilities, mMostProbableString);
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}
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}
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@ -132,8 +138,6 @@ void ProximityInfoState::initInputParams(const int pointerId, const float maxPoi
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// end
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///////////////////////
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memset(mNormalizedSquaredDistances, NOT_A_DISTANCE, sizeof(mNormalizedSquaredDistances));
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memset(mPrimaryInputWord, 0, sizeof(mPrimaryInputWord));
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mTouchPositionCorrectionEnabled = mSampledInputSize > 0 && mHasTouchPositionCorrectionData
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&& xCoordinates && yCoordinates;
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if (!isGeometric && pointerId == 0) {
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@ -142,8 +146,7 @@ void ProximityInfoState::initInputParams(const int pointerId, const float maxPoi
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if (mTouchPositionCorrectionEnabled) {
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ProximityInfoStateUtils::initNormalizedSquaredDistances(
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mProximityInfo, inputSize, xCoordinates, yCoordinates, mInputProximities,
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hasInputCoordinates(), &mSampledInputXs, &mSampledInputYs,
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mNormalizedSquaredDistances);
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&mSampledInputXs, &mSampledInputYs, mNormalizedSquaredDistances);
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}
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}
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if (DEBUG_GEO_FULL) {
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@ -278,16 +281,10 @@ int ProximityInfoState::getAllPossibleChars(
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}
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bool ProximityInfoState::isKeyInSerchKeysAfterIndex(const int index, const int keyId) const {
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ASSERT(keyId >= 0);
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ASSERT(index >= 0 && index < mSampledInputSize);
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ASSERT(keyId >= 0 && index >= 0 && index < mSampledInputSize);
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return mSampledSearchKeysVector[index].test(keyId);
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}
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void ProximityInfoState::popInputData() {
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ProximityInfoStateUtils::popInputData(&mSampledInputXs, &mSampledInputYs, &mSampledTimes,
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&mSampledLengthCache, &mSampledInputIndice);
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}
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float ProximityInfoState::getDirection(const int index0, const int index1) const {
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return ProximityInfoStateUtils::getDirection(
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&mSampledInputXs, &mSampledInputYs, index0, index1);
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@ -313,33 +310,9 @@ float ProximityInfoState::getLineToKeyDistance(
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keyX, keyY, x0, y0, x1, y1, extend);
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}
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// Get a word that is detected by tracing the most probable string into codePointBuf and
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// returns probability of generating the word.
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float ProximityInfoState::getMostProbableString(int *const codePointBuf) const {
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static const float DEMOTION_LOG_PROBABILITY = 0.3f;
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int index = 0;
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float sumLogProbability = 0.0f;
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// TODO: Current implementation is greedy algorithm. DP would be efficient for many cases.
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for (int i = 0; i < mSampledInputSize && index < MAX_WORD_LENGTH - 1; ++i) {
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float minLogProbability = static_cast<float>(MAX_POINT_TO_KEY_LENGTH);
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int character = NOT_AN_INDEX;
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for (hash_map_compat<int, float>::const_iterator it = mCharProbabilities[i].begin();
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it != mCharProbabilities[i].end(); ++it) {
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const float logProbability = (it->first != NOT_AN_INDEX)
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? it->second + DEMOTION_LOG_PROBABILITY : it->second;
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if (logProbability < minLogProbability) {
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minLogProbability = logProbability;
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character = it->first;
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}
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}
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if (character != NOT_AN_INDEX) {
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codePointBuf[index] = mProximityInfo->getCodePointOf(character);
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index++;
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}
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sumLogProbability += minLogProbability;
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}
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codePointBuf[index] = '\0';
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return sumLogProbability;
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memcpy(codePointBuf, mMostProbableString, sizeof(mMostProbableString));
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return mMostProbableStringProbability;
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}
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bool ProximityInfoState::hasSpaceProximity(const int index) const {
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@ -54,10 +54,12 @@ class ProximityInfoState {
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mSampledInputIndice(), mSampledLengthCache(), mBeelineSpeedPercentiles(),
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mSampledDistanceCache_G(), mSpeedRates(), mDirections(), mCharProbabilities(),
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mSampledNearKeysVector(), mSampledSearchKeysVector(),
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mTouchPositionCorrectionEnabled(false), mSampledInputSize(0) {
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mTouchPositionCorrectionEnabled(false), mSampledInputSize(0),
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mMostProbableStringProbability(0.0f) {
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memset(mInputProximities, 0, sizeof(mInputProximities));
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memset(mNormalizedSquaredDistances, 0, sizeof(mNormalizedSquaredDistances));
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memset(mPrimaryInputWord, 0, sizeof(mPrimaryInputWord));
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memset(mMostProbableString, 0, sizeof(mMostProbableString));
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}
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// Non virtual inline destructor -- never inherit this class
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@ -67,6 +69,21 @@ class ProximityInfoState {
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return getProximityCodePointsAt(index)[0];
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}
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inline bool sameAsTyped(const int *word, int length) const {
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if (length != mSampledInputSize) {
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return false;
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}
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const int *inputProximities = mInputProximities;
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while (length--) {
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if (*inputProximities != *word) {
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return false;
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}
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inputProximities += MAX_PROXIMITY_CHARS_SIZE;
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word++;
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}
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return true;
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}
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AK_FORCE_INLINE bool existsCodePointInProximityAt(const int index, const int c) const {
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const int *codePoints = getProximityCodePointsAt(index);
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int i = 0;
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@ -107,21 +124,6 @@ class ProximityInfoState {
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return mTouchPositionCorrectionEnabled;
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}
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inline bool sameAsTyped(const int *word, int length) const {
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if (length != mSampledInputSize) {
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return false;
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}
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const int *inputProximities = mInputProximities;
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while (length--) {
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if (*inputProximities != *word) {
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return false;
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}
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inputProximities += MAX_PROXIMITY_CHARS_SIZE;
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word++;
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}
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return true;
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}
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bool isUsed() const {
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return mSampledInputSize > 0;
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}
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@ -208,14 +210,9 @@ class ProximityInfoState {
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// Defined here //
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/////////////////////////////////////////
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bool hasInputCoordinates() const {
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return mSampledInputXs.size() > 0 && mSampledInputYs.size() > 0;
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}
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inline const int *getProximityCodePointsAt(const int index) const {
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return ProximityInfoStateUtils::getProximityCodePointsAt(mInputProximities, index);
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}
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void popInputData();
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// const
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const ProximityInfo *mProximityInfo;
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@ -255,6 +252,8 @@ class ProximityInfoState {
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int mNormalizedSquaredDistances[MAX_PROXIMITY_CHARS_SIZE * MAX_WORD_LENGTH];
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int mSampledInputSize;
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int mPrimaryInputWord[MAX_WORD_LENGTH];
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float mMostProbableStringProbability;
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int mMostProbableString[MAX_WORD_LENGTH];
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};
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} // namespace latinime
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#endif // LATINIME_PROXIMITY_INFO_STATE_H
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@ -15,6 +15,7 @@
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*/
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#include <cmath>
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#include <cstring> // for memset()
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#include <sstream> // for debug prints
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#include <vector>
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@ -26,6 +27,17 @@
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namespace latinime {
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/* static */ int ProximityInfoStateUtils::trimLastTwoTouchPoints(std::vector<int> *sampledInputXs,
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std::vector<int> *sampledInputYs, std::vector<int> *sampledInputTimes,
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std::vector<int> *sampledLengthCache, std::vector<int> *sampledInputIndice) {
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const int nextStartIndex = (*sampledInputIndice)[sampledInputIndice->size() - 2];
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popInputData(sampledInputXs, sampledInputYs, sampledInputTimes, sampledLengthCache,
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sampledInputIndice);
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popInputData(sampledInputXs, sampledInputYs, sampledInputTimes, sampledLengthCache,
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sampledInputIndice);
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return nextStartIndex;
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}
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/* static */ int ProximityInfoStateUtils::updateTouchPoints(const int mostCommonKeyWidth,
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const ProximityInfo *const proximityInfo, const int maxPointToKeyLength,
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const int *const inputProximities, const int *const inputXCoordinates,
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@ -133,6 +145,7 @@ namespace latinime {
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/* static */ void ProximityInfoStateUtils::initPrimaryInputWord(
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const int inputSize, const int *const inputProximities, int *primaryInputWord) {
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memset(primaryInputWord, 0, sizeof(primaryInputWord[0]) * MAX_WORD_LENGTH);
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for (int i = 0; i < inputSize; ++i) {
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primaryInputWord[i] = getPrimaryCodePointAt(inputProximities, i);
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}
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@ -171,10 +184,13 @@ namespace latinime {
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/* static */ void ProximityInfoStateUtils::initNormalizedSquaredDistances(
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const ProximityInfo *const proximityInfo, const int inputSize,
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const int *inputXCoordinates, const int *inputYCoordinates,
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const int *const inputProximities, const bool hasInputCoordinates,
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const int *const inputProximities,
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const std::vector<int> *const sampledInputXs,
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const std::vector<int> *const sampledInputYs,
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int *normalizedSquaredDistances) {
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memset(normalizedSquaredDistances, NOT_A_DISTANCE,
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sizeof(normalizedSquaredDistances[0]) * MAX_PROXIMITY_CHARS_SIZE * MAX_WORD_LENGTH);
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const bool hasInputCoordinates = sampledInputXs->size() > 0 && sampledInputYs->size() > 0;
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for (int i = 0; i < inputSize; ++i) {
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const int *proximityCodePoints = getProximityCodePointsAt(inputProximities, i);
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const int primaryKey = proximityCodePoints[0];
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@ -1011,6 +1027,40 @@ namespace latinime {
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return true;
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}
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// Get a word that is detected by tracing the most probable string into codePointBuf and
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// returns probability of generating the word.
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/* static */ float ProximityInfoStateUtils::getMostProbableString(
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const ProximityInfo *const proximityInfo, const int sampledInputSize,
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const std::vector<hash_map_compat<int, float> > *const charProbabilities,
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int *const codePointBuf) {
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ASSERT(charProbabilities->size() >= 0 && sampledInputSize >= 0);
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memset(codePointBuf, 0, sizeof(codePointBuf[0]) * MAX_WORD_LENGTH);
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static const float DEMOTION_LOG_PROBABILITY = 0.3f;
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int index = 0;
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float sumLogProbability = 0.0f;
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// TODO: Current implementation is greedy algorithm. DP would be efficient for many cases.
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for (int i = 0; i < sampledInputSize && index < MAX_WORD_LENGTH - 1; ++i) {
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float minLogProbability = static_cast<float>(MAX_POINT_TO_KEY_LENGTH);
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int character = NOT_AN_INDEX;
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for (hash_map_compat<int, float>::const_iterator it = (*charProbabilities)[i].begin();
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it != (*charProbabilities)[i].end(); ++it) {
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const float logProbability = (it->first != NOT_AN_INDEX)
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? it->second + DEMOTION_LOG_PROBABILITY : it->second;
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if (logProbability < minLogProbability) {
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minLogProbability = logProbability;
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character = it->first;
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}
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}
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if (character != NOT_AN_INDEX) {
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codePointBuf[index] = proximityInfo->getCodePointOf(character);
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index++;
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}
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sumLogProbability += minLogProbability;
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}
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codePointBuf[index] = '\0';
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return sumLogProbability;
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}
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/* static */ void ProximityInfoStateUtils::dump(const bool isGeometric, const int inputSize,
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const int *const inputXCoordinates, const int *const inputYCoordinates,
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const int sampledInputSize, const std::vector<int> *const sampledInputXs,
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@ -32,6 +32,9 @@ class ProximityInfoStateUtils {
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typedef hash_map_compat<int, float> NearKeysDistanceMap;
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typedef std::bitset<MAX_KEY_COUNT_IN_A_KEYBOARD> NearKeycodesSet;
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static int trimLastTwoTouchPoints(std::vector<int> *sampledInputXs,
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std::vector<int> *sampledInputYs, std::vector<int> *sampledInputTimes,
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std::vector<int> *sampledLengthCache, std::vector<int> *sampledInputIndice);
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static int updateTouchPoints(const int mostCommonKeyWidth,
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const ProximityInfo *const proximityInfo, const int maxPointToKeyLength,
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const int *const inputProximities,
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@ -96,7 +99,7 @@ class ProximityInfoStateUtils {
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static void initNormalizedSquaredDistances(
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const ProximityInfo *const proximityInfo, const int inputSize,
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const int *inputXCoordinates, const int *inputYCoordinates,
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const int *const inputProximities, const bool hasInputCoordinates,
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const int *const inputProximities,
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const std::vector<int> *const sampledInputXs,
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const std::vector<int> *const sampledInputYs,
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int *normalizedSquaredDistances);
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@ -113,6 +116,12 @@ class ProximityInfoStateUtils {
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const std::vector<int> *const sampledInputYs,
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const std::vector<int> *const sampledTimes,
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const std::vector<int> *const sampledInputIndices);
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// TODO: Move to most_probable_string_utils.h
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static float getMostProbableString(
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const ProximityInfo *const proximityInfo, const int sampledInputSize,
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const std::vector<hash_map_compat<int, float> > *const charProbabilities,
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int *const codePointBuf);
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private:
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DISALLOW_IMPLICIT_CONSTRUCTORS(ProximityInfoStateUtils);
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