Refactor most probable string
Change-Id: I96597decf5e36d9ce088c34427915f2379255054
This commit is contained in:
parent
52a0d491b4
commit
20b6775acc
4 changed files with 97 additions and 66 deletions
|
@ -14,7 +14,7 @@
|
|||
* limitations under the License.
|
||||
*/
|
||||
|
||||
#include <cstring> // for memset()
|
||||
#include <cstring> // for memset() and memcpy()
|
||||
#include <sstream> // for debug prints
|
||||
|
||||
#define LOG_TAG "LatinIME: proximity_info_state.cpp"
|
||||
|
@ -59,12 +59,15 @@ void ProximityInfoState::initInputParams(const int pointerId, const float maxPoi
|
|||
int pushTouchPointStartIndex = 0;
|
||||
int lastSavedInputSize = 0;
|
||||
mMaxPointToKeyLength = maxPointToKeyLength;
|
||||
mSampledInputSize = 0;
|
||||
mMostProbableStringProbability = 0.0f;
|
||||
|
||||
if (mIsContinuationPossible && mSampledInputIndice.size() > 1) {
|
||||
// Just update difference.
|
||||
// Two points prior is never skipped. Thus, we pop 2 input point data here.
|
||||
pushTouchPointStartIndex = mSampledInputIndice[mSampledInputIndice.size() - 2];
|
||||
popInputData();
|
||||
popInputData();
|
||||
// Previous two points are never skipped. Thus, we pop 2 input point data here.
|
||||
pushTouchPointStartIndex = ProximityInfoStateUtils::trimLastTwoTouchPoints(
|
||||
&mSampledInputXs, &mSampledInputYs, &mSampledTimes, &mSampledLengthCache,
|
||||
&mSampledInputIndice);
|
||||
lastSavedInputSize = mSampledInputXs.size();
|
||||
} else {
|
||||
// Clear all data.
|
||||
|
@ -81,11 +84,11 @@ void ProximityInfoState::initInputParams(const int pointerId, const float maxPoi
|
|||
mCharProbabilities.clear();
|
||||
mDirections.clear();
|
||||
}
|
||||
|
||||
if (DEBUG_GEO_FULL) {
|
||||
AKLOGI("Init ProximityInfoState: reused points = %d, last input size = %d",
|
||||
pushTouchPointStartIndex, lastSavedInputSize);
|
||||
}
|
||||
mSampledInputSize = 0;
|
||||
|
||||
if (xCoordinates && yCoordinates) {
|
||||
mSampledInputSize = ProximityInfoStateUtils::updateTouchPoints(
|
||||
|
@ -121,6 +124,9 @@ void ProximityInfoState::initInputParams(const int pointerId, const float maxPoi
|
|||
ProximityInfoStateUtils::updateSampledSearchKeysVector(mProximityInfo,
|
||||
mSampledInputSize, lastSavedInputSize, &mSampledLengthCache,
|
||||
&mSampledNearKeysVector, &mSampledSearchKeysVector);
|
||||
mMostProbableStringProbability = ProximityInfoStateUtils::getMostProbableString(
|
||||
mProximityInfo, mSampledInputSize, &mCharProbabilities, mMostProbableString);
|
||||
|
||||
}
|
||||
}
|
||||
|
||||
|
@ -132,8 +138,6 @@ void ProximityInfoState::initInputParams(const int pointerId, const float maxPoi
|
|||
// end
|
||||
///////////////////////
|
||||
|
||||
memset(mNormalizedSquaredDistances, NOT_A_DISTANCE, sizeof(mNormalizedSquaredDistances));
|
||||
memset(mPrimaryInputWord, 0, sizeof(mPrimaryInputWord));
|
||||
mTouchPositionCorrectionEnabled = mSampledInputSize > 0 && mHasTouchPositionCorrectionData
|
||||
&& xCoordinates && yCoordinates;
|
||||
if (!isGeometric && pointerId == 0) {
|
||||
|
@ -142,8 +146,7 @@ void ProximityInfoState::initInputParams(const int pointerId, const float maxPoi
|
|||
if (mTouchPositionCorrectionEnabled) {
|
||||
ProximityInfoStateUtils::initNormalizedSquaredDistances(
|
||||
mProximityInfo, inputSize, xCoordinates, yCoordinates, mInputProximities,
|
||||
hasInputCoordinates(), &mSampledInputXs, &mSampledInputYs,
|
||||
mNormalizedSquaredDistances);
|
||||
&mSampledInputXs, &mSampledInputYs, mNormalizedSquaredDistances);
|
||||
}
|
||||
}
|
||||
if (DEBUG_GEO_FULL) {
|
||||
|
@ -278,16 +281,10 @@ int ProximityInfoState::getAllPossibleChars(
|
|||
}
|
||||
|
||||
bool ProximityInfoState::isKeyInSerchKeysAfterIndex(const int index, const int keyId) const {
|
||||
ASSERT(keyId >= 0);
|
||||
ASSERT(index >= 0 && index < mSampledInputSize);
|
||||
ASSERT(keyId >= 0 && index >= 0 && index < mSampledInputSize);
|
||||
return mSampledSearchKeysVector[index].test(keyId);
|
||||
}
|
||||
|
||||
void ProximityInfoState::popInputData() {
|
||||
ProximityInfoStateUtils::popInputData(&mSampledInputXs, &mSampledInputYs, &mSampledTimes,
|
||||
&mSampledLengthCache, &mSampledInputIndice);
|
||||
}
|
||||
|
||||
float ProximityInfoState::getDirection(const int index0, const int index1) const {
|
||||
return ProximityInfoStateUtils::getDirection(
|
||||
&mSampledInputXs, &mSampledInputYs, index0, index1);
|
||||
|
@ -313,33 +310,9 @@ float ProximityInfoState::getLineToKeyDistance(
|
|||
keyX, keyY, x0, y0, x1, y1, extend);
|
||||
}
|
||||
|
||||
// Get a word that is detected by tracing the most probable string into codePointBuf and
|
||||
// returns probability of generating the word.
|
||||
float ProximityInfoState::getMostProbableString(int *const codePointBuf) const {
|
||||
static const float DEMOTION_LOG_PROBABILITY = 0.3f;
|
||||
int index = 0;
|
||||
float sumLogProbability = 0.0f;
|
||||
// TODO: Current implementation is greedy algorithm. DP would be efficient for many cases.
|
||||
for (int i = 0; i < mSampledInputSize && index < MAX_WORD_LENGTH - 1; ++i) {
|
||||
float minLogProbability = static_cast<float>(MAX_POINT_TO_KEY_LENGTH);
|
||||
int character = NOT_AN_INDEX;
|
||||
for (hash_map_compat<int, float>::const_iterator it = mCharProbabilities[i].begin();
|
||||
it != mCharProbabilities[i].end(); ++it) {
|
||||
const float logProbability = (it->first != NOT_AN_INDEX)
|
||||
? it->second + DEMOTION_LOG_PROBABILITY : it->second;
|
||||
if (logProbability < minLogProbability) {
|
||||
minLogProbability = logProbability;
|
||||
character = it->first;
|
||||
}
|
||||
}
|
||||
if (character != NOT_AN_INDEX) {
|
||||
codePointBuf[index] = mProximityInfo->getCodePointOf(character);
|
||||
index++;
|
||||
}
|
||||
sumLogProbability += minLogProbability;
|
||||
}
|
||||
codePointBuf[index] = '\0';
|
||||
return sumLogProbability;
|
||||
memcpy(codePointBuf, mMostProbableString, sizeof(mMostProbableString));
|
||||
return mMostProbableStringProbability;
|
||||
}
|
||||
|
||||
bool ProximityInfoState::hasSpaceProximity(const int index) const {
|
||||
|
|
|
@ -54,10 +54,12 @@ class ProximityInfoState {
|
|||
mSampledInputIndice(), mSampledLengthCache(), mBeelineSpeedPercentiles(),
|
||||
mSampledDistanceCache_G(), mSpeedRates(), mDirections(), mCharProbabilities(),
|
||||
mSampledNearKeysVector(), mSampledSearchKeysVector(),
|
||||
mTouchPositionCorrectionEnabled(false), mSampledInputSize(0) {
|
||||
mTouchPositionCorrectionEnabled(false), mSampledInputSize(0),
|
||||
mMostProbableStringProbability(0.0f) {
|
||||
memset(mInputProximities, 0, sizeof(mInputProximities));
|
||||
memset(mNormalizedSquaredDistances, 0, sizeof(mNormalizedSquaredDistances));
|
||||
memset(mPrimaryInputWord, 0, sizeof(mPrimaryInputWord));
|
||||
memset(mMostProbableString, 0, sizeof(mMostProbableString));
|
||||
}
|
||||
|
||||
// Non virtual inline destructor -- never inherit this class
|
||||
|
@ -67,6 +69,21 @@ class ProximityInfoState {
|
|||
return getProximityCodePointsAt(index)[0];
|
||||
}
|
||||
|
||||
inline bool sameAsTyped(const int *word, int length) const {
|
||||
if (length != mSampledInputSize) {
|
||||
return false;
|
||||
}
|
||||
const int *inputProximities = mInputProximities;
|
||||
while (length--) {
|
||||
if (*inputProximities != *word) {
|
||||
return false;
|
||||
}
|
||||
inputProximities += MAX_PROXIMITY_CHARS_SIZE;
|
||||
word++;
|
||||
}
|
||||
return true;
|
||||
}
|
||||
|
||||
AK_FORCE_INLINE bool existsCodePointInProximityAt(const int index, const int c) const {
|
||||
const int *codePoints = getProximityCodePointsAt(index);
|
||||
int i = 0;
|
||||
|
@ -107,21 +124,6 @@ class ProximityInfoState {
|
|||
return mTouchPositionCorrectionEnabled;
|
||||
}
|
||||
|
||||
inline bool sameAsTyped(const int *word, int length) const {
|
||||
if (length != mSampledInputSize) {
|
||||
return false;
|
||||
}
|
||||
const int *inputProximities = mInputProximities;
|
||||
while (length--) {
|
||||
if (*inputProximities != *word) {
|
||||
return false;
|
||||
}
|
||||
inputProximities += MAX_PROXIMITY_CHARS_SIZE;
|
||||
word++;
|
||||
}
|
||||
return true;
|
||||
}
|
||||
|
||||
bool isUsed() const {
|
||||
return mSampledInputSize > 0;
|
||||
}
|
||||
|
@ -208,14 +210,9 @@ class ProximityInfoState {
|
|||
// Defined here //
|
||||
/////////////////////////////////////////
|
||||
|
||||
bool hasInputCoordinates() const {
|
||||
return mSampledInputXs.size() > 0 && mSampledInputYs.size() > 0;
|
||||
}
|
||||
|
||||
inline const int *getProximityCodePointsAt(const int index) const {
|
||||
return ProximityInfoStateUtils::getProximityCodePointsAt(mInputProximities, index);
|
||||
}
|
||||
void popInputData();
|
||||
|
||||
// const
|
||||
const ProximityInfo *mProximityInfo;
|
||||
|
@ -255,6 +252,8 @@ class ProximityInfoState {
|
|||
int mNormalizedSquaredDistances[MAX_PROXIMITY_CHARS_SIZE * MAX_WORD_LENGTH];
|
||||
int mSampledInputSize;
|
||||
int mPrimaryInputWord[MAX_WORD_LENGTH];
|
||||
float mMostProbableStringProbability;
|
||||
int mMostProbableString[MAX_WORD_LENGTH];
|
||||
};
|
||||
} // namespace latinime
|
||||
#endif // LATINIME_PROXIMITY_INFO_STATE_H
|
||||
|
|
|
@ -15,6 +15,7 @@
|
|||
*/
|
||||
|
||||
#include <cmath>
|
||||
#include <cstring> // for memset()
|
||||
#include <sstream> // for debug prints
|
||||
#include <vector>
|
||||
|
||||
|
@ -26,6 +27,17 @@
|
|||
|
||||
namespace latinime {
|
||||
|
||||
/* static */ int ProximityInfoStateUtils::trimLastTwoTouchPoints(std::vector<int> *sampledInputXs,
|
||||
std::vector<int> *sampledInputYs, std::vector<int> *sampledInputTimes,
|
||||
std::vector<int> *sampledLengthCache, std::vector<int> *sampledInputIndice) {
|
||||
const int nextStartIndex = (*sampledInputIndice)[sampledInputIndice->size() - 2];
|
||||
popInputData(sampledInputXs, sampledInputYs, sampledInputTimes, sampledLengthCache,
|
||||
sampledInputIndice);
|
||||
popInputData(sampledInputXs, sampledInputYs, sampledInputTimes, sampledLengthCache,
|
||||
sampledInputIndice);
|
||||
return nextStartIndex;
|
||||
}
|
||||
|
||||
/* static */ int ProximityInfoStateUtils::updateTouchPoints(const int mostCommonKeyWidth,
|
||||
const ProximityInfo *const proximityInfo, const int maxPointToKeyLength,
|
||||
const int *const inputProximities, const int *const inputXCoordinates,
|
||||
|
@ -133,6 +145,7 @@ namespace latinime {
|
|||
|
||||
/* static */ void ProximityInfoStateUtils::initPrimaryInputWord(
|
||||
const int inputSize, const int *const inputProximities, int *primaryInputWord) {
|
||||
memset(primaryInputWord, 0, sizeof(primaryInputWord[0]) * MAX_WORD_LENGTH);
|
||||
for (int i = 0; i < inputSize; ++i) {
|
||||
primaryInputWord[i] = getPrimaryCodePointAt(inputProximities, i);
|
||||
}
|
||||
|
@ -171,10 +184,13 @@ namespace latinime {
|
|||
/* static */ void ProximityInfoStateUtils::initNormalizedSquaredDistances(
|
||||
const ProximityInfo *const proximityInfo, const int inputSize,
|
||||
const int *inputXCoordinates, const int *inputYCoordinates,
|
||||
const int *const inputProximities, const bool hasInputCoordinates,
|
||||
const int *const inputProximities,
|
||||
const std::vector<int> *const sampledInputXs,
|
||||
const std::vector<int> *const sampledInputYs,
|
||||
int *normalizedSquaredDistances) {
|
||||
memset(normalizedSquaredDistances, NOT_A_DISTANCE,
|
||||
sizeof(normalizedSquaredDistances[0]) * MAX_PROXIMITY_CHARS_SIZE * MAX_WORD_LENGTH);
|
||||
const bool hasInputCoordinates = sampledInputXs->size() > 0 && sampledInputYs->size() > 0;
|
||||
for (int i = 0; i < inputSize; ++i) {
|
||||
const int *proximityCodePoints = getProximityCodePointsAt(inputProximities, i);
|
||||
const int primaryKey = proximityCodePoints[0];
|
||||
|
@ -1011,6 +1027,40 @@ namespace latinime {
|
|||
return true;
|
||||
}
|
||||
|
||||
// Get a word that is detected by tracing the most probable string into codePointBuf and
|
||||
// returns probability of generating the word.
|
||||
/* static */ float ProximityInfoStateUtils::getMostProbableString(
|
||||
const ProximityInfo *const proximityInfo, const int sampledInputSize,
|
||||
const std::vector<hash_map_compat<int, float> > *const charProbabilities,
|
||||
int *const codePointBuf) {
|
||||
ASSERT(charProbabilities->size() >= 0 && sampledInputSize >= 0);
|
||||
memset(codePointBuf, 0, sizeof(codePointBuf[0]) * MAX_WORD_LENGTH);
|
||||
static const float DEMOTION_LOG_PROBABILITY = 0.3f;
|
||||
int index = 0;
|
||||
float sumLogProbability = 0.0f;
|
||||
// TODO: Current implementation is greedy algorithm. DP would be efficient for many cases.
|
||||
for (int i = 0; i < sampledInputSize && index < MAX_WORD_LENGTH - 1; ++i) {
|
||||
float minLogProbability = static_cast<float>(MAX_POINT_TO_KEY_LENGTH);
|
||||
int character = NOT_AN_INDEX;
|
||||
for (hash_map_compat<int, float>::const_iterator it = (*charProbabilities)[i].begin();
|
||||
it != (*charProbabilities)[i].end(); ++it) {
|
||||
const float logProbability = (it->first != NOT_AN_INDEX)
|
||||
? it->second + DEMOTION_LOG_PROBABILITY : it->second;
|
||||
if (logProbability < minLogProbability) {
|
||||
minLogProbability = logProbability;
|
||||
character = it->first;
|
||||
}
|
||||
}
|
||||
if (character != NOT_AN_INDEX) {
|
||||
codePointBuf[index] = proximityInfo->getCodePointOf(character);
|
||||
index++;
|
||||
}
|
||||
sumLogProbability += minLogProbability;
|
||||
}
|
||||
codePointBuf[index] = '\0';
|
||||
return sumLogProbability;
|
||||
}
|
||||
|
||||
/* static */ void ProximityInfoStateUtils::dump(const bool isGeometric, const int inputSize,
|
||||
const int *const inputXCoordinates, const int *const inputYCoordinates,
|
||||
const int sampledInputSize, const std::vector<int> *const sampledInputXs,
|
||||
|
|
|
@ -32,6 +32,9 @@ class ProximityInfoStateUtils {
|
|||
typedef hash_map_compat<int, float> NearKeysDistanceMap;
|
||||
typedef std::bitset<MAX_KEY_COUNT_IN_A_KEYBOARD> NearKeycodesSet;
|
||||
|
||||
static int trimLastTwoTouchPoints(std::vector<int> *sampledInputXs,
|
||||
std::vector<int> *sampledInputYs, std::vector<int> *sampledInputTimes,
|
||||
std::vector<int> *sampledLengthCache, std::vector<int> *sampledInputIndice);
|
||||
static int updateTouchPoints(const int mostCommonKeyWidth,
|
||||
const ProximityInfo *const proximityInfo, const int maxPointToKeyLength,
|
||||
const int *const inputProximities,
|
||||
|
@ -96,7 +99,7 @@ class ProximityInfoStateUtils {
|
|||
static void initNormalizedSquaredDistances(
|
||||
const ProximityInfo *const proximityInfo, const int inputSize,
|
||||
const int *inputXCoordinates, const int *inputYCoordinates,
|
||||
const int *const inputProximities, const bool hasInputCoordinates,
|
||||
const int *const inputProximities,
|
||||
const std::vector<int> *const sampledInputXs,
|
||||
const std::vector<int> *const sampledInputYs,
|
||||
int *normalizedSquaredDistances);
|
||||
|
@ -113,6 +116,12 @@ class ProximityInfoStateUtils {
|
|||
const std::vector<int> *const sampledInputYs,
|
||||
const std::vector<int> *const sampledTimes,
|
||||
const std::vector<int> *const sampledInputIndices);
|
||||
// TODO: Move to most_probable_string_utils.h
|
||||
static float getMostProbableString(
|
||||
const ProximityInfo *const proximityInfo, const int sampledInputSize,
|
||||
const std::vector<hash_map_compat<int, float> > *const charProbabilities,
|
||||
int *const codePointBuf);
|
||||
|
||||
private:
|
||||
DISALLOW_IMPLICIT_CONSTRUCTORS(ProximityInfoStateUtils);
|
||||
|
||||
|
|
Loading…
Reference in a new issue