Use std::min() and std::max()

Change-Id: I2992fa16692ace2a6febedc4393812faf763638f
This commit is contained in:
Ken Wakasa 2014-03-06 23:12:07 +09:00
parent eba0af1237
commit cf612a3abf
17 changed files with 63 additions and 46 deletions

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@ -344,9 +344,6 @@ static inline void prof_out(void) {
#define MAX_POINTER_COUNT 1
#define MAX_POINTER_COUNT_G 2
template<typename T> AK_FORCE_INLINE const T &min(const T &a, const T &b) { return a < b ? a : b; }
template<typename T> AK_FORCE_INLINE const T &max(const T &a, const T &b) { return a > b ? a : b; }
// DEBUG
#define INPUTLENGTH_FOR_DEBUG (-1)
#define MIN_OUTPUT_INDEX_FOR_DEBUG (-1)

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@ -17,6 +17,7 @@
#ifndef LATINIME_DIC_NODE_PRIORITY_QUEUE_H
#define LATINIME_DIC_NODE_PRIORITY_QUEUE_H
#include <algorithm>
#include <queue>
#include <vector>
@ -49,7 +50,7 @@ class DicNodePriorityQueue : public DicNodeReleaseListener {
AK_FORCE_INLINE void setMaxSize(const int maxSize) {
ASSERT(maxSize <= mCapacity);
mMaxSize = min(maxSize, mCapacity);
mMaxSize = std::min(maxSize, mCapacity);
}
AK_FORCE_INLINE void clearAndResizeToCapacity() {

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@ -16,6 +16,7 @@
#include "suggest/core/dicnode/dic_node_utils.h"
#include <algorithm>
#include <cstring>
#include "suggest/core/dicnode/dic_node.h"
@ -117,7 +118,7 @@ namespace latinime {
}
actualLength0 = i + 1;
}
actualLength0 = min(actualLength0, MAX_WORD_LENGTH);
actualLength0 = std::min(actualLength0, MAX_WORD_LENGTH);
memmove(dest, src0, actualLength0 * sizeof(dest[0]));
if (!src1 || length1 == 0) {
return actualLength0;
@ -129,7 +130,7 @@ namespace latinime {
}
actualLength1 = i + 1;
}
actualLength1 = min(actualLength1, MAX_WORD_LENGTH - actualLength0);
actualLength1 = std::min(actualLength1, MAX_WORD_LENGTH - actualLength0);
memmove(&dest[actualLength0], src1, actualLength1 * sizeof(dest[0]));
return actualLength0 + actualLength1;
}

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@ -17,6 +17,7 @@
#ifndef LATINIME_DIC_NODES_CACHE_H
#define LATINIME_DIC_NODES_CACHE_H
#include <algorithm>
#include <stdint.h>
#include "defines.h"
@ -51,7 +52,7 @@ class DicNodesCache {
// We want to use the max capacity for the current active dic node queue.
mActiveDicNodes->clearAndResizeToCapacity();
// nextActiveSize is used to limit the next iteration's active dic node size.
const int nextActiveSizeFittingToTheCapacity = min(nextActiveSize, getCacheCapacity());
const int nextActiveSizeFittingToTheCapacity = std::min(nextActiveSize, getCacheCapacity());
mNextActiveDicNodes->clearAndResize(nextActiveSizeFittingToTheCapacity);
mTerminalDicNodes->clearAndResize(terminalSize);
// 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 @@
#ifndef LATINIME_DIC_NODE_STATE_OUTPUT_H
#define LATINIME_DIC_NODE_STATE_OUTPUT_H
#include <algorithm>
#include <cstring> // for memmove()
#include <stdint.h>
@ -49,7 +50,8 @@ class DicNodeStateOutput {
void addMergedNodeCodePoints(const uint16_t mergedNodeCodePointCount,
const int *const mergedNodeCodePoints) {
if (mergedNodeCodePoints) {
const int additionalCodePointCount = min(static_cast<int>(mergedNodeCodePointCount),
const int additionalCodePointCount = std::min(
static_cast<int>(mergedNodeCodePointCount),
MAX_WORD_LENGTH - mOutputtedCodePointCount);
memmove(&mCodePointsBuf[mOutputtedCodePointCount], mergedNodeCodePoints,
additionalCodePointCount * sizeof(mCodePointsBuf[0]));

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@ -17,6 +17,7 @@
#ifndef LATINIME_DIC_NODE_STATE_PREVWORD_H
#define LATINIME_DIC_NODE_STATE_PREVWORD_H
#include <algorithm>
#include <cstring> // for memset() and memmove()
#include <stdint.h>
@ -69,7 +70,7 @@ class DicNodeStatePrevWord {
const int prevWordNodePos, const int *const src0, const int16_t length0,
const int *const src1, const int16_t length1,
const int prevWordSecondWordFirstInputIndex, const int lastInputIndex) {
mPrevWordCount = min(prevWordCount, static_cast<int16_t>(MAX_RESULTS));
mPrevWordCount = std::min(prevWordCount, static_cast<int16_t>(MAX_RESULTS));
mPrevWordProbability = prevWordProbability;
mPrevWordPtNodePos = prevWordNodePos;
int twoWordsLen =

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@ -17,6 +17,7 @@
#ifndef LATINIME_DIC_NODE_STATE_SCORING_H
#define LATINIME_DIC_NODE_STATE_SCORING_H
#include <algorithm>
#include <stdint.h>
#include "defines.h"
@ -199,7 +200,7 @@ class DicNodeStateScoring {
mNormalizedCompoundDistance = mSpatialDistance + mLanguageDistance;
} else {
mNormalizedCompoundDistance = (mSpatialDistance + mLanguageDistance)
/ static_cast<float>(max(1, totalInputIndex));
/ static_cast<float>(std::max(1, totalInputIndex));
}
}
};

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@ -14,12 +14,13 @@
* limitations under the License.
*/
#include <cstring>
#define LOG_TAG "LatinIME: bigram_dictionary.cpp"
#include "bigram_dictionary.h"
#include <algorithm>
#include <cstring>
#include "defines.h"
#include "suggest/core/dictionary/binary_dictionary_bigrams_iterator.h"
#include "suggest/core/dictionary/dictionary.h"
@ -142,7 +143,7 @@ int BigramDictionary::getPredictions(const int *prevWord, const int prevWordLeng
outBigramCodePoints, outputTypes);
++bigramCount;
}
return min(bigramCount, MAX_RESULTS);
return std::min(bigramCount, MAX_RESULTS);
}
// Returns a pointer to the start of the bigram list.

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@ -18,6 +18,7 @@
#include "suggest/core/layout/proximity_info.h"
#include <algorithm>
#include <cstring>
#include <cmath>
@ -63,7 +64,7 @@ ProximityInfo::ProximityInfo(JNIEnv *env, const jstring localeJStr,
static_cast<float>(mostCommonKeyWidth))),
CELL_WIDTH((keyboardWidth + gridWidth - 1) / gridWidth),
CELL_HEIGHT((keyboardHeight + gridHeight - 1) / gridHeight),
KEY_COUNT(min(keyCount, MAX_KEY_COUNT_IN_A_KEYBOARD)),
KEY_COUNT(std::min(keyCount, MAX_KEY_COUNT_IN_A_KEYBOARD)),
KEYBOARD_WIDTH(keyboardWidth), KEYBOARD_HEIGHT(keyboardHeight),
KEYBOARD_HYPOTENUSE(hypotf(KEYBOARD_WIDTH, KEYBOARD_HEIGHT)),
HAS_TOUCH_POSITION_CORRECTION_DATA(keyCount > 0 && keyXCoordinates && keyYCoordinates

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@ -18,6 +18,7 @@
#include "suggest/core/layout/proximity_info_state.h"
#include <algorithm>
#include <cstring> // for memset() and memmove()
#include <sstream> // for debug prints
#include <vector>
@ -171,7 +172,7 @@ float ProximityInfoState::getPointToKeyLength(
const int keyId = mProximityInfo->getKeyIndexOf(codePoint);
if (keyId != NOT_AN_INDEX) {
const int index = inputIndex * mProximityInfo->getKeyCount() + keyId;
return min(mSampledNormalizedSquaredLengthCache[index], mMaxPointToKeyLength);
return std::min(mSampledNormalizedSquaredLengthCache[index], mMaxPointToKeyLength);
}
if (CharUtils::isIntentionalOmissionCodePoint(codePoint)) {
return 0.0f;

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@ -241,7 +241,7 @@ namespace latinime {
// Calculate velocity by using distances and durations of
// ProximityInfoParams::NUM_POINTS_FOR_SPEED_CALCULATION points for both forward and
// backward.
const int forwardNumPoints = min(inputSize - 1,
const int forwardNumPoints = std::min(inputSize - 1,
index + ProximityInfoParams::NUM_POINTS_FOR_SPEED_CALCULATION);
for (int j = index; j < forwardNumPoints; ++j) {
if (i < sampledInputSize - 1 && j >= (*sampledInputIndice)[i + 1]) {
@ -251,7 +251,7 @@ namespace latinime {
xCoordinates[j + 1], yCoordinates[j + 1]);
duration += times[j + 1] - times[j];
}
const int backwardNumPoints = max(0,
const int backwardNumPoints = std::max(0,
index - ProximityInfoParams::NUM_POINTS_FOR_SPEED_CALCULATION);
for (int j = index - 1; j >= backwardNumPoints; --j) {
if (i > 0 && j < (*sampledInputIndice)[i - 1]) {
@ -273,7 +273,7 @@ namespace latinime {
// Direction calculation.
sampledDirections->resize(sampledInputSize - 1);
for (int i = max(0, lastSavedInputSize - 1); i < sampledInputSize - 1; ++i) {
for (int i = std::max(0, lastSavedInputSize - 1); i < sampledInputSize - 1; ++i) {
(*sampledDirections)[i] = getDirection(sampledInputXs, sampledInputYs, i, i + 1);
}
return averageSpeed;
@ -610,7 +610,7 @@ namespace latinime {
const int inputIndex, const int keyId) {
if (keyId != NOT_AN_INDEX) {
const int index = inputIndex * keyCount + keyId;
return min((*sampledNormalizedSquaredLengthCache)[index], maxPointToKeyLength);
return std::min((*sampledNormalizedSquaredLengthCache)[index], maxPointToKeyLength);
}
// If the char is not a key on the keyboard then return the max length.
return static_cast<float>(MAX_VALUE_FOR_WEIGHTING);
@ -651,13 +651,13 @@ namespace latinime {
}
if (i == 0) {
skipProbability *= min(1.0f,
skipProbability *= std::min(1.0f,
nearestKeyDistance * ProximityInfoParams::NEAREST_DISTANCE_WEIGHT
+ ProximityInfoParams::NEAREST_DISTANCE_BIAS);
// Promote the first point
skipProbability *= ProximityInfoParams::SKIP_FIRST_POINT_PROBABILITY;
} else if (i == sampledInputSize - 1) {
skipProbability *= min(1.0f,
skipProbability *= std::min(1.0f,
nearestKeyDistance * ProximityInfoParams::NEAREST_DISTANCE_WEIGHT_FOR_LAST
+ ProximityInfoParams::NEAREST_DISTANCE_BIAS_FOR_LAST);
// Promote the last point
@ -668,17 +668,17 @@ namespace latinime {
&& speedRate
< (*sampledSpeedRates)[i + 1] - ProximityInfoParams::SPEED_MARGIN) {
if (currentAngle < ProximityInfoParams::CORNER_ANGLE_THRESHOLD) {
skipProbability *= min(1.0f, speedRate
skipProbability *= std::min(1.0f, speedRate
* ProximityInfoParams::SLOW_STRAIGHT_WEIGHT_FOR_SKIP_PROBABILITY);
} else {
// If the angle is small enough, we promote this point more. (e.g. pit vs put)
skipProbability *= min(1.0f,
skipProbability *= std::min(1.0f,
speedRate * ProximityInfoParams::SPEED_WEIGHT_FOR_SKIP_PROBABILITY
+ ProximityInfoParams::MIN_SPEED_RATE_FOR_SKIP_PROBABILITY);
}
}
skipProbability *= min(1.0f,
skipProbability *= std::min(1.0f,
speedRate * nearestKeyDistance * ProximityInfoParams::NEAREST_DISTANCE_WEIGHT
+ ProximityInfoParams::NEAREST_DISTANCE_BIAS);
@ -708,10 +708,10 @@ namespace latinime {
// (1.0f - skipProbability).
const float inputCharProbability = 1.0f - skipProbability;
const float speedxAngleRate = min(speedRate * currentAngle / M_PI_F
const float speedxAngleRate = std::min(speedRate * currentAngle / M_PI_F
* ProximityInfoParams::SPEEDxANGLE_WEIGHT_FOR_STANDARD_DEVIATION,
ProximityInfoParams::MAX_SPEEDxANGLE_RATE_FOR_STANDARD_DEVIATION);
const float speedxNearestKeyDistanceRate = min(speedRate * nearestKeyDistance
const float speedxNearestKeyDistanceRate = std::min(speedRate * nearestKeyDistance
* ProximityInfoParams::SPEEDxNEAREST_WEIGHT_FOR_STANDARD_DEVIATION,
ProximityInfoParams::MAX_SPEEDxNEAREST_RATE_FOR_STANDARD_DEVIATION);
const float sigma = speedxAngleRate + speedxNearestKeyDistanceRate
@ -828,7 +828,7 @@ namespace latinime {
// Decrease key probabilities of points which don't have the highest probability of that key
// among nearby points. Probabilities of the first point and the last point are not suppressed.
for (int i = max(start, 1); i < sampledInputSize; ++i) {
for (int i = std::max(start, 1); i < sampledInputSize; ++i) {
for (int j = i + 1; j < sampledInputSize; ++j) {
if (!suppressCharProbabilities(
mostCommonKeyWidth, sampledInputSize, sampledLengthCache, i, j,
@ -836,7 +836,7 @@ namespace latinime {
break;
}
}
for (int j = i - 1; j >= max(start, 0); --j) {
for (int j = i - 1; j >= std::max(start, 0); --j) {
if (!suppressCharProbabilities(
mostCommonKeyWidth, sampledInputSize, sampledLengthCache, i, j,
charProbabilities)) {
@ -879,7 +879,7 @@ namespace latinime {
if (i >= lastSavedInputSize) {
(*sampledSearchKeySets)[i].reset();
}
for (int j = max(i, lastSavedInputSize); j < sampledInputSize; ++j) {
for (int j = std::max(i, lastSavedInputSize); j < sampledInputSize; ++j) {
// TODO: Investigate if this is required. This may not fail.
if ((*sampledLengthCache)[j] - (*sampledLengthCache)[i] >= readForwordLength) {
break;
@ -930,7 +930,7 @@ namespace latinime {
(*charProbabilities)[index0][NOT_AN_INDEX] += suppression;
// Add the probability of the same key nearby index1
const float probabilityGain = min(suppression
const float probabilityGain = std::min(suppression
* ProximityInfoParams::SUPPRESSION_WEIGHT_FOR_PROBABILITY_GAIN,
(*charProbabilities)[index1][NOT_AN_INDEX]
* ProximityInfoParams::SKIP_PROBABALITY_WEIGHT_FOR_PROBABILITY_GAIN);

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@ -17,6 +17,8 @@
#ifndef LATINIME_TOUCH_POSITION_CORRECTION_UTILS_H
#define LATINIME_TOUCH_POSITION_CORRECTION_UTILS_H
#include <algorithm>
#include "defines.h"
#include "suggest/core/layout/proximity_info_params.h"
@ -34,7 +36,7 @@ class TouchPositionCorrectionUtils {
static const float R2 = 1.0f;
const float x = normalizedSquaredDistance;
if (!isTouchPositionCorrectionEnabled) {
return min(C, x);
return std::min(C, x);
}
// factor is a piecewise linear function like:

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@ -16,6 +16,8 @@
#include "suggest/core/result/suggestions_output_utils.h"
#include <algorithm>
#include "suggest/core/dicnode/dic_node.h"
#include "suggest/core/dicnode/dic_node_utils.h"
#include "suggest/core/dictionary/binary_dictionary_shortcut_iterator.h"
@ -36,7 +38,7 @@ const int SuggestionsOutputUtils::MIN_LEN_FOR_MULTI_WORD_AUTOCORRECT = 16;
#if DEBUG_EVALUATE_MOST_PROBABLE_STRING
const int terminalSize = 0;
#else
const int terminalSize = min(MAX_RESULTS,
const int terminalSize = std::min(MAX_RESULTS,
static_cast<int>(traverseSession->getDicTraverseCache()->terminalSize()));
#endif
DicNode terminals[MAX_RESULTS]; // Avoiding non-POD variable length array
@ -245,12 +247,12 @@ const int SuggestionsOutputUtils::MIN_LEN_FOR_MULTI_WORD_AUTOCORRECT = 16;
// shortcut entry's score == its base entry's score - 1
shortcutScore = finalScore;
// Protection against int underflow
shortcutScore = max(S_INT_MIN + 1, shortcutScore) - 1;
shortcutScore = std::max(S_INT_MIN + 1, shortcutScore) - 1;
kind = Dictionary::KIND_SHORTCUT;
}
outputTypes[outputWordIndex] = kind;
outputScores[outputWordIndex] = shortcutScore;
outputScores[outputWordIndex] = max(S_INT_MIN + 1, shortcutScore) - 1;
outputScores[outputWordIndex] = std::max(S_INT_MIN + 1, shortcutScore) - 1;
const int startIndex2 = outputWordIndex * MAX_WORD_LENGTH;
DicNodeUtils::appendTwoWords(0, 0, shortcutTarget, shortcutTargetStringLength,
&outputCodePoints[startIndex2]);

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@ -16,6 +16,8 @@
#include "suggest/policyimpl/dictionary/header/header_policy.h"
#include <algorithm>
namespace latinime {
// Note that these are corresponding definitions in Java side in DictionaryHeader.
@ -72,7 +74,7 @@ void HeaderPolicy::readHeaderValueOrQuestionMark(const char *const key, int *out
outValue[1] = '\0';
return;
}
const int terminalIndex = min(static_cast<int>(it->second.size()), outValueSize - 1);
const int terminalIndex = std::min(static_cast<int>(it->second.size()), outValueSize - 1);
for (int i = 0; i < terminalIndex; ++i) {
outValue[i] = it->second[i];
}

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@ -16,6 +16,7 @@
#include "suggest/policyimpl/dictionary/utils/forgetting_curve_utils.h"
#include <algorithm>
#include <cmath>
#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);
}
}
}

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@ -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));

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@ -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;