am 34c65320: Merge "Use std::min() and std::max()"
* commit '34c653204cf9f5655700c94df47852e7b59ff742': Use std::min() and std::max()main
commit
cd58af7ea8
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@ -344,9 +344,6 @@ static inline void prof_out(void) {
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#define MAX_POINTER_COUNT 1
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#define MAX_POINTER_COUNT_G 2
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template<typename T> AK_FORCE_INLINE const T &min(const T &a, const T &b) { return a < b ? a : b; }
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template<typename T> AK_FORCE_INLINE const T &max(const T &a, const T &b) { return a > b ? a : b; }
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// DEBUG
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#define INPUTLENGTH_FOR_DEBUG (-1)
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#define MIN_OUTPUT_INDEX_FOR_DEBUG (-1)
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@ -17,6 +17,7 @@
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#ifndef LATINIME_DIC_NODE_PRIORITY_QUEUE_H
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#define LATINIME_DIC_NODE_PRIORITY_QUEUE_H
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#include <algorithm>
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#include <queue>
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#include <vector>
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@ -49,7 +50,7 @@ class DicNodePriorityQueue : public DicNodeReleaseListener {
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AK_FORCE_INLINE void setMaxSize(const int maxSize) {
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ASSERT(maxSize <= mCapacity);
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mMaxSize = min(maxSize, mCapacity);
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mMaxSize = std::min(maxSize, mCapacity);
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}
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AK_FORCE_INLINE void clearAndResizeToCapacity() {
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@ -16,6 +16,7 @@
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#include "suggest/core/dicnode/dic_node_utils.h"
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#include <algorithm>
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#include <cstring>
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#include "suggest/core/dicnode/dic_node.h"
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@ -117,7 +118,7 @@ namespace latinime {
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}
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actualLength0 = i + 1;
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}
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actualLength0 = min(actualLength0, MAX_WORD_LENGTH);
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actualLength0 = std::min(actualLength0, MAX_WORD_LENGTH);
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memmove(dest, src0, actualLength0 * sizeof(dest[0]));
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if (!src1 || length1 == 0) {
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return actualLength0;
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@ -129,7 +130,7 @@ namespace latinime {
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}
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actualLength1 = i + 1;
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}
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actualLength1 = min(actualLength1, MAX_WORD_LENGTH - actualLength0);
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actualLength1 = std::min(actualLength1, MAX_WORD_LENGTH - actualLength0);
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memmove(&dest[actualLength0], src1, actualLength1 * sizeof(dest[0]));
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return actualLength0 + actualLength1;
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}
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@ -17,6 +17,7 @@
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#ifndef LATINIME_DIC_NODES_CACHE_H
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#define LATINIME_DIC_NODES_CACHE_H
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#include <algorithm>
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#include <stdint.h>
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#include "defines.h"
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@ -51,7 +52,7 @@ class DicNodesCache {
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// We want to use the max capacity for the current active dic node queue.
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mActiveDicNodes->clearAndResizeToCapacity();
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// nextActiveSize is used to limit the next iteration's active dic node size.
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const int nextActiveSizeFittingToTheCapacity = min(nextActiveSize, getCacheCapacity());
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const int nextActiveSizeFittingToTheCapacity = std::min(nextActiveSize, getCacheCapacity());
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mNextActiveDicNodes->clearAndResize(nextActiveSizeFittingToTheCapacity);
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mTerminalDicNodes->clearAndResize(terminalSize);
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// We want to use the max capacity for the cached dic nodes that will be used for the
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@ -17,6 +17,7 @@
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#ifndef LATINIME_DIC_NODE_STATE_OUTPUT_H
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#define LATINIME_DIC_NODE_STATE_OUTPUT_H
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#include <algorithm>
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#include <cstring> // for memmove()
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#include <stdint.h>
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@ -49,7 +50,8 @@ class DicNodeStateOutput {
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void addMergedNodeCodePoints(const uint16_t mergedNodeCodePointCount,
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const int *const mergedNodeCodePoints) {
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if (mergedNodeCodePoints) {
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const int additionalCodePointCount = min(static_cast<int>(mergedNodeCodePointCount),
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const int additionalCodePointCount = std::min(
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static_cast<int>(mergedNodeCodePointCount),
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MAX_WORD_LENGTH - mOutputtedCodePointCount);
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memmove(&mCodePointsBuf[mOutputtedCodePointCount], mergedNodeCodePoints,
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additionalCodePointCount * sizeof(mCodePointsBuf[0]));
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@ -17,6 +17,7 @@
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#ifndef LATINIME_DIC_NODE_STATE_PREVWORD_H
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#define LATINIME_DIC_NODE_STATE_PREVWORD_H
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#include <algorithm>
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#include <cstring> // for memset() and memmove()
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#include <stdint.h>
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@ -69,7 +70,7 @@ class DicNodeStatePrevWord {
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const int prevWordNodePos, const int *const src0, const int16_t length0,
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const int *const src1, const int16_t length1,
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const int prevWordSecondWordFirstInputIndex, const int lastInputIndex) {
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mPrevWordCount = min(prevWordCount, static_cast<int16_t>(MAX_RESULTS));
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mPrevWordCount = std::min(prevWordCount, static_cast<int16_t>(MAX_RESULTS));
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mPrevWordProbability = prevWordProbability;
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mPrevWordPtNodePos = prevWordNodePos;
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int twoWordsLen =
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@ -17,6 +17,7 @@
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#ifndef LATINIME_DIC_NODE_STATE_SCORING_H
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#define LATINIME_DIC_NODE_STATE_SCORING_H
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#include <algorithm>
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#include <stdint.h>
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#include "defines.h"
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@ -199,7 +200,7 @@ class DicNodeStateScoring {
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mNormalizedCompoundDistance = mSpatialDistance + mLanguageDistance;
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} else {
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mNormalizedCompoundDistance = (mSpatialDistance + mLanguageDistance)
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/ static_cast<float>(max(1, totalInputIndex));
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/ static_cast<float>(std::max(1, totalInputIndex));
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}
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}
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};
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@ -14,12 +14,13 @@
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* limitations under the License.
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*/
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#include <cstring>
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#define LOG_TAG "LatinIME: bigram_dictionary.cpp"
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#include "bigram_dictionary.h"
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#include <algorithm>
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#include <cstring>
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#include "defines.h"
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#include "suggest/core/dictionary/binary_dictionary_bigrams_iterator.h"
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#include "suggest/core/dictionary/dictionary.h"
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@ -142,7 +143,7 @@ int BigramDictionary::getPredictions(const int *prevWord, const int prevWordLeng
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outBigramCodePoints, outputTypes);
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++bigramCount;
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}
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return min(bigramCount, MAX_RESULTS);
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return std::min(bigramCount, MAX_RESULTS);
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}
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// Returns a pointer to the start of the bigram list.
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@ -18,6 +18,7 @@
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#include "suggest/core/layout/proximity_info.h"
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#include <algorithm>
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#include <cstring>
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#include <cmath>
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@ -63,7 +64,7 @@ ProximityInfo::ProximityInfo(JNIEnv *env, const jstring localeJStr,
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static_cast<float>(mostCommonKeyWidth))),
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CELL_WIDTH((keyboardWidth + gridWidth - 1) / gridWidth),
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CELL_HEIGHT((keyboardHeight + gridHeight - 1) / gridHeight),
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KEY_COUNT(min(keyCount, MAX_KEY_COUNT_IN_A_KEYBOARD)),
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KEY_COUNT(std::min(keyCount, MAX_KEY_COUNT_IN_A_KEYBOARD)),
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KEYBOARD_WIDTH(keyboardWidth), KEYBOARD_HEIGHT(keyboardHeight),
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KEYBOARD_HYPOTENUSE(hypotf(KEYBOARD_WIDTH, KEYBOARD_HEIGHT)),
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HAS_TOUCH_POSITION_CORRECTION_DATA(keyCount > 0 && keyXCoordinates && keyYCoordinates
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@ -18,6 +18,7 @@
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#include "suggest/core/layout/proximity_info_state.h"
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#include <algorithm>
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#include <cstring> // for memset() and memmove()
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#include <sstream> // for debug prints
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#include <vector>
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@ -171,7 +172,7 @@ float ProximityInfoState::getPointToKeyLength(
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const int keyId = mProximityInfo->getKeyIndexOf(codePoint);
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if (keyId != NOT_AN_INDEX) {
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const int index = inputIndex * mProximityInfo->getKeyCount() + keyId;
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return min(mSampledNormalizedSquaredLengthCache[index], mMaxPointToKeyLength);
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return std::min(mSampledNormalizedSquaredLengthCache[index], mMaxPointToKeyLength);
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}
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if (CharUtils::isIntentionalOmissionCodePoint(codePoint)) {
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return 0.0f;
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@ -241,7 +241,7 @@ namespace latinime {
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// Calculate velocity by using distances and durations of
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// ProximityInfoParams::NUM_POINTS_FOR_SPEED_CALCULATION points for both forward and
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// backward.
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const int forwardNumPoints = min(inputSize - 1,
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const int forwardNumPoints = std::min(inputSize - 1,
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index + ProximityInfoParams::NUM_POINTS_FOR_SPEED_CALCULATION);
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for (int j = index; j < forwardNumPoints; ++j) {
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if (i < sampledInputSize - 1 && j >= (*sampledInputIndice)[i + 1]) {
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@ -251,7 +251,7 @@ namespace latinime {
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xCoordinates[j + 1], yCoordinates[j + 1]);
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duration += times[j + 1] - times[j];
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}
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const int backwardNumPoints = max(0,
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const int backwardNumPoints = std::max(0,
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index - ProximityInfoParams::NUM_POINTS_FOR_SPEED_CALCULATION);
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for (int j = index - 1; j >= backwardNumPoints; --j) {
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if (i > 0 && j < (*sampledInputIndice)[i - 1]) {
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@ -273,7 +273,7 @@ namespace latinime {
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// Direction calculation.
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sampledDirections->resize(sampledInputSize - 1);
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for (int i = max(0, lastSavedInputSize - 1); i < sampledInputSize - 1; ++i) {
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for (int i = std::max(0, lastSavedInputSize - 1); i < sampledInputSize - 1; ++i) {
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(*sampledDirections)[i] = getDirection(sampledInputXs, sampledInputYs, i, i + 1);
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}
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return averageSpeed;
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@ -610,7 +610,7 @@ namespace latinime {
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const int inputIndex, const int keyId) {
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if (keyId != NOT_AN_INDEX) {
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const int index = inputIndex * keyCount + keyId;
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return min((*sampledNormalizedSquaredLengthCache)[index], maxPointToKeyLength);
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return std::min((*sampledNormalizedSquaredLengthCache)[index], maxPointToKeyLength);
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}
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// If the char is not a key on the keyboard then return the max length.
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return static_cast<float>(MAX_VALUE_FOR_WEIGHTING);
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@ -651,13 +651,13 @@ namespace latinime {
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}
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if (i == 0) {
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skipProbability *= min(1.0f,
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skipProbability *= std::min(1.0f,
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nearestKeyDistance * ProximityInfoParams::NEAREST_DISTANCE_WEIGHT
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+ ProximityInfoParams::NEAREST_DISTANCE_BIAS);
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// Promote the first point
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skipProbability *= ProximityInfoParams::SKIP_FIRST_POINT_PROBABILITY;
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} else if (i == sampledInputSize - 1) {
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skipProbability *= min(1.0f,
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skipProbability *= std::min(1.0f,
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nearestKeyDistance * ProximityInfoParams::NEAREST_DISTANCE_WEIGHT_FOR_LAST
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+ ProximityInfoParams::NEAREST_DISTANCE_BIAS_FOR_LAST);
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// Promote the last point
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@ -668,17 +668,17 @@ namespace latinime {
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&& speedRate
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< (*sampledSpeedRates)[i + 1] - ProximityInfoParams::SPEED_MARGIN) {
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if (currentAngle < ProximityInfoParams::CORNER_ANGLE_THRESHOLD) {
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skipProbability *= min(1.0f, speedRate
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skipProbability *= std::min(1.0f, speedRate
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* ProximityInfoParams::SLOW_STRAIGHT_WEIGHT_FOR_SKIP_PROBABILITY);
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} else {
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// If the angle is small enough, we promote this point more. (e.g. pit vs put)
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skipProbability *= min(1.0f,
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skipProbability *= std::min(1.0f,
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speedRate * ProximityInfoParams::SPEED_WEIGHT_FOR_SKIP_PROBABILITY
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+ ProximityInfoParams::MIN_SPEED_RATE_FOR_SKIP_PROBABILITY);
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}
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}
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skipProbability *= min(1.0f,
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skipProbability *= std::min(1.0f,
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speedRate * nearestKeyDistance * ProximityInfoParams::NEAREST_DISTANCE_WEIGHT
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+ ProximityInfoParams::NEAREST_DISTANCE_BIAS);
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@ -708,10 +708,10 @@ namespace latinime {
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// (1.0f - skipProbability).
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const float inputCharProbability = 1.0f - skipProbability;
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const float speedxAngleRate = min(speedRate * currentAngle / M_PI_F
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const float speedxAngleRate = std::min(speedRate * currentAngle / M_PI_F
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* ProximityInfoParams::SPEEDxANGLE_WEIGHT_FOR_STANDARD_DEVIATION,
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ProximityInfoParams::MAX_SPEEDxANGLE_RATE_FOR_STANDARD_DEVIATION);
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const float speedxNearestKeyDistanceRate = min(speedRate * nearestKeyDistance
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const float speedxNearestKeyDistanceRate = std::min(speedRate * nearestKeyDistance
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* ProximityInfoParams::SPEEDxNEAREST_WEIGHT_FOR_STANDARD_DEVIATION,
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ProximityInfoParams::MAX_SPEEDxNEAREST_RATE_FOR_STANDARD_DEVIATION);
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const float sigma = speedxAngleRate + speedxNearestKeyDistanceRate
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@ -828,7 +828,7 @@ namespace latinime {
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// Decrease key probabilities of points which don't have the highest probability of that key
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// among nearby points. Probabilities of the first point and the last point are not suppressed.
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for (int i = max(start, 1); i < sampledInputSize; ++i) {
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for (int i = std::max(start, 1); i < sampledInputSize; ++i) {
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for (int j = i + 1; j < sampledInputSize; ++j) {
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if (!suppressCharProbabilities(
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mostCommonKeyWidth, sampledInputSize, sampledLengthCache, i, j,
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@ -836,7 +836,7 @@ namespace latinime {
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break;
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}
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}
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for (int j = i - 1; j >= max(start, 0); --j) {
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for (int j = i - 1; j >= std::max(start, 0); --j) {
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if (!suppressCharProbabilities(
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mostCommonKeyWidth, sampledInputSize, sampledLengthCache, i, j,
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charProbabilities)) {
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@ -879,7 +879,7 @@ namespace latinime {
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if (i >= lastSavedInputSize) {
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(*sampledSearchKeySets)[i].reset();
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}
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for (int j = max(i, lastSavedInputSize); j < sampledInputSize; ++j) {
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for (int j = std::max(i, lastSavedInputSize); j < sampledInputSize; ++j) {
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// TODO: Investigate if this is required. This may not fail.
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if ((*sampledLengthCache)[j] - (*sampledLengthCache)[i] >= readForwordLength) {
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break;
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@ -930,7 +930,7 @@ namespace latinime {
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(*charProbabilities)[index0][NOT_AN_INDEX] += suppression;
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// Add the probability of the same key nearby index1
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const float probabilityGain = min(suppression
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const float probabilityGain = std::min(suppression
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* ProximityInfoParams::SUPPRESSION_WEIGHT_FOR_PROBABILITY_GAIN,
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(*charProbabilities)[index1][NOT_AN_INDEX]
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* ProximityInfoParams::SKIP_PROBABALITY_WEIGHT_FOR_PROBABILITY_GAIN);
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@ -17,6 +17,8 @@
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#ifndef LATINIME_TOUCH_POSITION_CORRECTION_UTILS_H
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#define LATINIME_TOUCH_POSITION_CORRECTION_UTILS_H
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#include <algorithm>
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#include "defines.h"
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#include "suggest/core/layout/proximity_info_params.h"
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@ -34,7 +36,7 @@ class TouchPositionCorrectionUtils {
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static const float R2 = 1.0f;
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const float x = normalizedSquaredDistance;
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if (!isTouchPositionCorrectionEnabled) {
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return min(C, x);
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return std::min(C, x);
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}
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// factor is a piecewise linear function like:
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|
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@ -16,6 +16,8 @@
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#include "suggest/core/result/suggestions_output_utils.h"
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#include <algorithm>
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#include "suggest/core/dicnode/dic_node.h"
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#include "suggest/core/dicnode/dic_node_utils.h"
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#include "suggest/core/dictionary/binary_dictionary_shortcut_iterator.h"
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@ -36,7 +38,7 @@ const int SuggestionsOutputUtils::MIN_LEN_FOR_MULTI_WORD_AUTOCORRECT = 16;
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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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const int terminalSize = min(MAX_RESULTS,
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const int terminalSize = std::min(MAX_RESULTS,
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static_cast<int>(traverseSession->getDicTraverseCache()->terminalSize()));
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#endif
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DicNode terminals[MAX_RESULTS]; // Avoiding non-POD variable length array
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@ -245,12 +247,12 @@ const int SuggestionsOutputUtils::MIN_LEN_FOR_MULTI_WORD_AUTOCORRECT = 16;
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// shortcut entry's score == its base entry's score - 1
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shortcutScore = finalScore;
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// Protection against int underflow
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shortcutScore = max(S_INT_MIN + 1, shortcutScore) - 1;
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shortcutScore = std::max(S_INT_MIN + 1, shortcutScore) - 1;
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kind = Dictionary::KIND_SHORTCUT;
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}
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outputTypes[outputWordIndex] = kind;
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outputScores[outputWordIndex] = shortcutScore;
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outputScores[outputWordIndex] = max(S_INT_MIN + 1, shortcutScore) - 1;
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outputScores[outputWordIndex] = std::max(S_INT_MIN + 1, shortcutScore) - 1;
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const int startIndex2 = outputWordIndex * MAX_WORD_LENGTH;
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DicNodeUtils::appendTwoWords(0, 0, shortcutTarget, shortcutTargetStringLength,
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&outputCodePoints[startIndex2]);
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|
|
|
@ -16,6 +16,8 @@
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#include "suggest/policyimpl/dictionary/header/header_policy.h"
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#include <algorithm>
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namespace latinime {
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// Note that these are corresponding definitions in Java side in DictionaryHeader.
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|
@ -72,7 +74,7 @@ void HeaderPolicy::readHeaderValueOrQuestionMark(const char *const key, int *out
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outValue[1] = '\0';
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return;
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}
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const int terminalIndex = min(static_cast<int>(it->second.size()), outValueSize - 1);
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const int terminalIndex = std::min(static_cast<int>(it->second.size()), outValueSize - 1);
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for (int i = 0; i < terminalIndex; ++i) {
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outValue[i] = it->second[i];
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}
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||||
|
|
|
@ -16,6 +16,7 @@
|
|||
|
||||
#include "suggest/policyimpl/dictionary/utils/forgetting_curve_utils.h"
|
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|
||||
#include <algorithm>
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#include <cmath>
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#include <stdlib.h>
|
||||
|
||||
|
@ -72,7 +73,7 @@ const ForgettingCurveUtils::ProbabilityTable ForgettingCurveUtils::sProbabilityT
|
|||
headerPolicy->getForgettingCurveDurationToLevelDown());
|
||||
return sProbabilityTable.getProbability(
|
||||
headerPolicy->getForgettingCurveProbabilityValuesTableId(), historicalInfo->getLevel(),
|
||||
min(max(elapsedTimeStepCount, 0), MAX_ELAPSED_TIME_STEP_COUNT));
|
||||
std::min(std::max(elapsedTimeStepCount, 0), MAX_ELAPSED_TIME_STEP_COUNT));
|
||||
}
|
||||
|
||||
/* static */ int ForgettingCurveUtils::getProbability(const int unigramProbability,
|
||||
|
@ -80,11 +81,11 @@ const ForgettingCurveUtils::ProbabilityTable ForgettingCurveUtils::sProbabilityT
|
|||
if (unigramProbability == NOT_A_PROBABILITY) {
|
||||
return NOT_A_PROBABILITY;
|
||||
} else if (bigramProbability == NOT_A_PROBABILITY) {
|
||||
return min(backoff(unigramProbability), MAX_PROBABILITY);
|
||||
return std::min(backoff(unigramProbability), MAX_PROBABILITY);
|
||||
} else {
|
||||
// TODO: Investigate better way to handle bigram probability.
|
||||
return min(max(unigramProbability, bigramProbability + MULTIPLIER_TWO_IN_PROBABILITY_SCALE),
|
||||
MAX_PROBABILITY);
|
||||
return std::min(std::max(unigramProbability,
|
||||
bigramProbability + MULTIPLIER_TWO_IN_PROBABILITY_SCALE), MAX_PROBABILITY);
|
||||
}
|
||||
}
|
||||
|
||||
|
@ -183,7 +184,7 @@ ForgettingCurveUtils::ProbabilityTable::ProbabilityTable() : mTables() {
|
|||
-1.0f * static_cast<float>(timeStepCount)
|
||||
/ static_cast<float>(MAX_ELAPSED_TIME_STEP_COUNT + 1));
|
||||
mTables[tableId][level][timeStepCount] =
|
||||
min(max(static_cast<int>(probability), 1), MAX_PROBABILITY);
|
||||
std::min(std::max(static_cast<int>(probability), 1), MAX_PROBABILITY);
|
||||
}
|
||||
}
|
||||
}
|
||||
|
|
|
@ -17,6 +17,8 @@
|
|||
#ifndef LATINIME_EDIT_DISTANCE_H
|
||||
#define LATINIME_EDIT_DISTANCE_H
|
||||
|
||||
#include <algorithm>
|
||||
|
||||
#include "defines.h"
|
||||
#include "suggest/policyimpl/utils/edit_distance_policy.h"
|
||||
|
||||
|
@ -38,13 +40,13 @@ class EditDistance {
|
|||
|
||||
for (int i = 0; i < beforeLength; ++i) {
|
||||
for (int j = 0; j < afterLength; ++j) {
|
||||
dp[(afterLength + 1) * (i + 1) + (j + 1)] = min(
|
||||
dp[(afterLength + 1) * (i + 1) + (j + 1)] = std::min(
|
||||
dp[(afterLength + 1) * i + (j + 1)] + policy->getInsertionCost(i, j),
|
||||
min(dp[(afterLength + 1) * (i + 1) + j] + policy->getDeletionCost(i, j),
|
||||
dp[(afterLength + 1) * i + j]
|
||||
+ policy->getSubstitutionCost(i, j)));
|
||||
std::min(
|
||||
dp[(afterLength + 1) * (i + 1) + j] + policy->getDeletionCost(i, j),
|
||||
dp[(afterLength + 1) * i + j] + policy->getSubstitutionCost(i, j)));
|
||||
if (policy->allowTransposition(i, j)) {
|
||||
dp[(afterLength + 1) * (i + 1) + (j + 1)] = min(
|
||||
dp[(afterLength + 1) * (i + 1) + (j + 1)] = std::min(
|
||||
dp[(afterLength + 1) * (i + 1) + (j + 1)],
|
||||
dp[(afterLength + 1) * (i - 1) + (j - 1)]
|
||||
+ policy->getTranspositionCost(i, j));
|
||||
|
|
|
@ -16,6 +16,7 @@
|
|||
|
||||
#include "utils/autocorrection_threshold_utils.h"
|
||||
|
||||
#include <algorithm>
|
||||
#include <cmath>
|
||||
|
||||
#include "defines.h"
|
||||
|
@ -99,7 +100,7 @@ const int AutocorrectionThresholdUtils::FULL_WORD_MULTIPLIER = 2;
|
|||
const float maxScore = score >= S_INT_MAX ? static_cast<float>(S_INT_MAX)
|
||||
: static_cast<float>(MAX_INITIAL_SCORE)
|
||||
* powf(static_cast<float>(TYPED_LETTER_MULTIPLIER),
|
||||
static_cast<float>(min(beforeLength, afterLength - spaceCount)))
|
||||
static_cast<float>(std::min(beforeLength, afterLength - spaceCount)))
|
||||
* static_cast<float>(FULL_WORD_MULTIPLIER);
|
||||
|
||||
return (static_cast<float>(score) / maxScore) * weight;
|
||||
|
|
Loading…
Reference in New Issue