am 20b6775a: Refactor most probable string

# Via Satoshi Kataoka
* commit '20b6775acc957896bdb038dfd99794d6cd7cea5a':
  Refactor most probable string
main
Satoshi Kataoka 2013-01-24 16:14:26 -08:00 committed by Android Git Automerger
commit 794c5586bd
4 changed files with 97 additions and 66 deletions

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@ -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 {

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@ -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

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@ -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,

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@ -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);