RM: added into dispatcher strucure
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@ -9,10 +9,11 @@
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//sets relations of speed for the different layers
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map<int,float> DestructionPower_Properties::SpeedTable =
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{
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{0,0.99}
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{0,0.99},
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{1,0.7},
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{2,0.7}
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};
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bool DestructionPower::PreProcessing(coor mySize,const vector<Part*>* partArray)
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{
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cout << "DestructionPower Preprocessing... ";
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@ -55,7 +56,7 @@ void DestructionPower::DestructionOfSurrounding(const coor constraintCoordinate)
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m_constraintMatrix[constraintCoordinate.col][constraintCoordinate.row].DestructionArray[i] /=divisor;
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else
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//create default destructionPower //TODO find some better solution for default
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m_constraintMatrix[constraintCoordinate.col][constraintCoordinate.row].DestructionArray[i] =1-m_constraintMatrix[constraintCoordinate.col][constraintCoordinate.row].SpeedTable[i];
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m_constraintMatrix[constraintCoordinate.col][constraintCoordinate.row].DestructionArray[i] = m_constraintMatrix[constraintCoordinate.col][constraintCoordinate.row].SpeedTable[i];
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}
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}
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@ -102,6 +103,6 @@ DestructionPower_Properties::DestructionPower_Properties() {
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{
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DestructionArray.emplace_back((DestructionPower_Properties::SpeedTable[i]*DESTRUCTION_INIT));
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DestructionArray.back()<0.99 ? DestructionArray.back()*=aging:DestructionArray.back();
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DestructionArray.back()<0.8 ? DestructionArray.back()=aging*DestructionArray.back()+(float)0.01:DestructionArray.back();
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}
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}
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@ -3,8 +3,8 @@
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//
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#pragma once
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#define DESTRUCTION_COUNT 1
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//TODO!! increase Destructioncount
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#define DESTRUCTION_COUNT 2
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#include "DestructionPower_Properties.h"
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#include "../AbstraktionLayer_Base.h"
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@ -71,7 +71,7 @@ HistogramComparer localImage;
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calcHist(&hsv_img1, 1, channels, Mat(), hist_img1, 2, histSize, ranges, true, false);
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// normalize(hist_img1, hist_img1, 0, 1, NORM_MINMAX, -1, Mat());
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ref_partArray[iterator]->m_aHistogram.image=hsv_img1;
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ref_partArray[iterator]->m_Histogram.image=hsv_img1;
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iterator++;
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}
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@ -89,7 +89,7 @@ bool AbstractionLayer_Histogram::EvaluateQuality (const coor constraintCoordinat
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//evaluateQuality = evaluateProbabilaty
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for(int i = 0;i < qVector.size();i++)
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{
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if(PlaceOfPartGood(constraintCoordinate, qVector[i].second->m_aHistogram.image))
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if(PlaceOfPartGood(constraintCoordinate, qVector[i].second->m_Histogram.image))
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{
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qVector[i].first=1;
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@ -147,7 +147,7 @@ bool HistogramComparer::CompareHistogram(Mat hist_img1,Mat hist_img2)
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bool AbstractionLayer_Histogram::SetConstraintOnPosition(const coor constraintCoordinate, const AbstractionLayer_Histogram_Properties constraint)
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{
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m_constraintMatrix[constraintCoordinate.col+1][constraintCoordinate.row+1].image=constraint.image;
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m_constraintMatrix[constraintCoordinate.col][constraintCoordinate.row].image=constraint.image;
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//m_constraintMatrix[constraintCoordinate.col+1][constraintCoordinate.row+1].m_connections=constraint.m_connections;
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}
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@ -156,5 +156,5 @@ bool AbstractionLayer_Histogram::SetConstraintOnPosition(const coor constraintCo
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bool AbstractionLayer_Histogram::RemoveConstraintOnPosition(const coor constraintCoordinate)
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{
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Mat dummy(1,1,0);
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m_constraintMatrix[constraintCoordinate.col+1][constraintCoordinate.row+1].image = dummy;
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m_constraintMatrix[constraintCoordinate.col][constraintCoordinate.row].image = dummy;
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}
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@ -46,7 +46,8 @@ void Puzzle::putIntoBox()
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for(int rotations=0;rotations<4;rotations++)
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{
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tmpPart.m_a1.shift(1);
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//TODO! add all other layers with their rotaionvariance here
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//TODO! add all other layer with their rotaionvariance into "tmpPart"
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//if it piece is roation invariant no need to do anything
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myBox.emplace_back(tmpPart);
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}
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@ -65,6 +66,8 @@ void Puzzle::shuffle()
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void Puzzle::removeConstrains(coor removeCoordinates)
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{
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this->a1.RemoveConstraintOnPosition(removeCoordinates);
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this->a3.RemoveConstraintOnPosition(removeCoordinates);
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//TODO!! Add other layer remove here
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}
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void Puzzle::setConstraints(coor setConstraints, Part* constraintPiece)
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{
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@ -75,6 +78,10 @@ void Puzzle::setConstraints(coor setConstraints, Part* constraintPiece)
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//a1
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this->a1.SetConstraintOnPosition(setConstraints,constraintPiece->m_a1);
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//a3
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this->a3.SetConstraintOnPosition(setConstraints,constraintPiece->m_Histogram);
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//TODO!! Add other layer remove here
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}
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void Puzzle::createRandomPuzzle()
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@ -35,7 +35,10 @@ bool next(vector<LogEntry>& log,Puzzle& puzzleMat)
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setsolution(log,puzzleMat);
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else
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setsolution(log,puzzleMat);
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if(log.back().myCoor.row==26)
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cout << log.back().myCoor.row << ", " << log.back().myCoor.col << endl;
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return true;
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}
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void createNextLogElement(vector<LogEntry>& log, Puzzle& puzzleMat)
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@ -55,7 +58,6 @@ coor calculateNextCoor(vector<LogEntry>& log, Puzzle& puzzleMat)
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{
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//level 1:
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//go left to right, then increase current row
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if (log.size() == 1)
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return {0,0};
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@ -73,11 +75,15 @@ void solve(vector<LogEntry>& log,Puzzle& puzzleMat)
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{
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log.back().abstractionLevel = puzzleMat.dp.getNextAbstractionLayer(log.back().myCoor,log.back().abstractionLevel); //sets in abstractionLevel
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//status(log,p_Box,puzzleMat);
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//TODO!! Add more layers here
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switch(log.back().abstractionLevel)
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{
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case 0://pömpel
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puzzleMat.a1.EvaluateQuality(log.back().myCoor, log.back().PieceCollector);
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break;
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case 1://
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puzzleMat.a3.EvaluateQuality(log.back().myCoor,log.back().PieceCollector);
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break;
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case -1://random
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setsolution(log,puzzleMat);
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return;
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@ -105,6 +111,8 @@ void setsolution(vector<LogEntry>& log, Puzzle& puzzleMat)
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puzzleMat.combinedQualityVector.clear(); //clear data from temp variable
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//tell log entry that it is set
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log.back().Set();
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if(log.back().myCoor.row==27)
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cout << "hello" << endl;
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puzzleMat.setConstraints(log.back().myCoor,log.back().PieceCollector.begin()->second);
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//cout << "set:" << log.back().myCoor.col << "," << log.back().myCoor.row << endl;
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}
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@ -187,6 +195,9 @@ float capLogElements(vector<LogEntry>& log)
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break;
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}
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int newid=0;
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//check if all over
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if(id==log.back().PieceCollector.size())
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return 0;
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if(id>0)
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newid = --id; //set to the one just over limit
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@ -241,6 +252,7 @@ bool SetBestOrMoreLayersArithmetical(vector<LogEntry>& log, qualityVector& cqVec
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case 4: threshold = 0.60; break;
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default: threshold = 0.5; break;
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}
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//TODO!! add more layers here!
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// check Quality of current Puzzle Piece in combinedQualityVector with Threshold value
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for (qualityVector::iterator it = cqVector.begin(); it != cqVector.end(); it++)
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@ -269,6 +281,7 @@ void CalculateNewCombinedQuality(vector<LogEntry>& log, qualityVector& qVector,
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{
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bool summarizedVectors = false;
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int countSummarizedVectors = 0;
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bool removePart=true;
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// check if both qualityVectors are not empty
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if(qVector.empty())
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@ -287,19 +300,25 @@ void CalculateNewCombinedQuality(vector<LogEntry>& log, qualityVector& qVector,
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for (unsigned int i = 0; i < cqVector.size(); i++) {
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for (unsigned int j = 0; j < qVector.size(); j++) {
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// search same PuzzlePart of qualityVector and combinedQualityVector
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if (&cqVector.at(i).second == &qVector.at(j).second) {
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if (cqVector.at(i).second->GetPartID() == qVector.at(j).second->GetPartID() && cqVector.at(i).second->GetNumOfRotations() == qVector.at(j).second->GetNumOfRotations()) {
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// sum Quality of PieceCollector (qualityVector) to combinedQualityVector
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cqVector.at(j).first += qVector.at(i).first;
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countSummarizedVectors++;
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removePart=false;
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break; // skip remaining for loop => save time!
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}
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// remove element at poisition X in combinedQualityVector, because it was not summarized
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// inefficient way to delete element X
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//cqVector->erase(cqVector->begin()+i);
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// efficient way, but no sorted cqVector => wayne //echt? lol
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}
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if(removePart)
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{
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swap(cqVector.at(i), cqVector.back());
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cqVector.pop_back();
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}
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}
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// cqVector should have the same size now as newest qVector
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@ -43,7 +43,7 @@ public:
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bool set;
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AbstractionLayer_1_Properties m_a1;
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AbstractionLayer_Histogram_Properties m_aHistogram;
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AbstractionLayer_Histogram_Properties m_Histogram;
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private:
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int32_t m_partID;
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uint8_t m_numOfRotations;
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