Added SetBestOrMoreLayersArithmetical and CalculateNewCombinedQuality

This commit is contained in:
d-kaselautzke 2018-01-05 01:18:23 +01:00
parent 4f9f43991c
commit 9d98ed83fa
2 changed files with 101 additions and 68 deletions

View File

@ -1,11 +1,11 @@
#include "../../header.h"
void status(vector<LogEntry>& log, vector<Part*>& p_Box);
bool setBestOrMoreLayers(vector<LogEntry>& log);
bool SetBestOrMoreLayersArithmetical(vector<LogEntry>& log, qualityVector* cqVector);
void calculateTrueDestructionPower(vector<LogEntry>& log, Puzzle& puzzleMat, float Layerworth);
void sort(vector<LogEntry>& log);
void cut(vector<LogEntry>& log, Part* cutID);
float capLogElements(vector<LogEntry>& log);
void calculateNewCombinedProbabilityForPuzzlePiecesArithmetic(vector<LogEntry>& log);
void CalculateNewCombinedQuality(vector<LogEntry>& log, qualityVector& qVector, qualityVector* cqVector);
bool next(vector<LogEntry>& log, vector<Part*>& p_Box,Puzzle& puzzleMat)
{
@ -21,7 +21,7 @@ bool next(vector<LogEntry>& log, vector<Part*>& p_Box,Puzzle& puzzleMat)
else if(log.back().PieceCollector.size() > 1)
{
//moreLayers is 0, setbest is 1
if (setBestOrMoreLayers(log)) setsolution(log, p_Box, puzzleMat);
if (SetBestOrMoreLayersArithmetical(log, &puzzleMat.combinedQualityVector)) setsolution(log, p_Box, puzzleMat);
else solve(log, p_Box, puzzleMat);
}
//case last log exactly one solution
@ -87,7 +87,7 @@ void solve(vector<LogEntry>& log, vector<Part*>& p_Box, Puzzle& puzzleMat)
capLogElements(log);
float worth = capLogElements(log);
calculateTrueDestructionPower(log,puzzleMat, worth);
calculateNewCombinedProbabilityForPuzzlePiecesArithmetic(log);
CalculateNewCombinedQuality(log, log.back().PieceCollector, &puzzleMat.combinedQualityVector);
}
@ -244,85 +244,116 @@ void cut(vector<LogEntry>& log, Part* cutID)
log.back().PieceCollector.erase(it++);
}
//partdavid
bool setBestOrMoreLayers(vector<LogEntry>& log)
// -------------------- Part David: SetBest and CalculateCombinedQuality --------------------
// pruefen, ob mehr als X combinedQualities ueber dem Grenzwert sind. Wenn nur noch Y Pieces ueber bleiben, dann setBest!
// geeignete Threshold values muessen noch getestet werden
bool SetBestOrMoreLayersArithmetical(vector<LogEntry>& log, qualityVector* cqVector)
{
int countBest = 0;
float tempBest = 0.0;
float threshold = 1.0, tempBest = 0.0;
unsigned int countHigherThreshold = 0;
// count how many Pieces are greater than the threshold value
for(auto it:log.back().PieceCollector)
if(cqVector->empty())
{
// check Probability of current Puzzle Piece in this vector
if (it.first >= 0.90) // 0.90 as threshold
countBest++;
cerr << "combinedQualityVector is empty." << endl; // should not be empty => backtrack?
return false; // Warning: can only return true or false. What return for error?
}
else
if (it.first > tempBest)
tempBest = it.first;
{
switch(log.back().abstractionLevel)
{
case 1: threshold = 0.90; break;
case 2: threshold = 0.80; break;
case 3: threshold = 0.75; break;
case 4: threshold = 0.66; break;
case 5: threshold = 0.60; break;
default: threshold = 0.5; break;
}
// check Quality of current Puzzle Piece in combinedQualityVector with Threshold value
for (qualityVector::iterator it = cqVector->begin(); it != cqVector->end(); it++)
{
if ((cqVector->back().first / log.back().abstractionLevel) >= threshold) // const threshold values
{
// count how many Pieces are greater than the threshold value
countHigherThreshold++;
}
else
{
if ((cqVector->back().first / log.back().abstractionLevel) > tempBest)
{
tempBest = cqVector->back().first; // could be used, for additional constraints
}
}
}
// return true if only one piece is left
if (1 == countBest)
if (1 == countHigherThreshold)
{
return true;
}
//else if (countBest > 1 && countBest < 10) // TODO: add possible constraints
else
{
return false;
}
}
void calculateNewCombinedProbabilityForPuzzlePiecesArithmetic(vector<LogEntry>& log)
{
float totalValue = 0.0;
int i;
for(int i; i < log.back().PieceCollector.size(); i++);
// sum Probability of current Puzzle Piece in PieceCollector vector
//totalValue += *(log.back().PieceCollector.);
//return totalValue / i;
}
/*
//PartDavid
void calculateNewCombinedProbabilityForPuzzlePiecesTopK(vector<LogEntry>& log, int executedLayers)
{
float TopK[executedLayers][2] = {0.0}; // in Log speichern?
float sumTopK[executedLayers] = {0.0};
float HighestProbability = 0.0;
// searching for Top2 probability values in PieceCollector for each layer
for (int currentLayer = 0; currentLayer < executedLayers; currentLayer++)
{
// searching for Top2 probabilities in currentLayer
for(int i = 0; i < log.back().PieceCollector.size() && log.back().abstractionLevel == currentLayer; i++)
{
if (*(log.back().PieceCollector[i]) > TopK[currentLayer][0])
{
TopK[currentLayer][0] = *log.back().PieceCollector[i];
}
else if (*(log.back().PieceCollector[i]) > TopK[currentLayer][1])
}
// jede Quality vom Piececollector zu einer combinedQuality aufsummieren (von jedem bereits verwendetem Layer)
// Achtung: Es muss noch der Mittelwert gebildet werden => SetBestOrMoreLayersArithmetical
void CalculateNewCombinedQuality(vector<LogEntry>& log, qualityVector& qVector, qualityVector* cqVector)
{
bool summarizedVectors = false;
int countSummarizedVectors = 0;
// check if both qualityVectors are not empty
if(qVector.empty())
{
TopK[currentLayer][1] = *log.back().PieceCollector[i];
cerr << "qualityVector is empty." << endl; // should not be empty => backtrack?
return;
}
else if(cqVector->empty())
{
cerr << "combinedQualityVector is empty." << endl; // should not be empty => backtrack?
return;
}
else
{
// Spezialfall fuer 0 Ueberlegen
}
}
sumTopK[currentLayer] = TopK[currentLayer][0] + TopK[currentLayer][1];
}
for (unsigned int i = 0; i < cqVector->size(); i++)
{
summarizedVectors = false;
// searching for highest probability for designated Position
for (int currentLayer = 0; currentLayer < executedLayers; currentLayer++)
for (unsigned int j = 0; j < qVector.size(); j++)
{
if (sumTopK[currentLayer+1] > sumTopK[currentLayer])
// search same PuzzlePart of qualityVector and combinedQualityVector
if (&cqVector->at(i).second == &qVector.at(j).second)
{
HighestProbability = sumTopK[currentLayer+1];
}
// sum Quality of PieceCollector (qualityVector) to combinedQualityVector
cqVector->at(j).first += qVector.at(i).first;
countSummarizedVectors++;
summarizedVectors = true;
continue; // skip remaining for loop => save time!
}
}
*/
// remove element at poisition X in combinedQualityVector, because it was not summarized
if (!summarizedVectors)
{
// inefficient way to delete element X
//cqVector->erase(cqVector->begin()+i);
// efficient way, but no sorted cqVector => wayne
swap(cqVector->at(i), cqVector->back());
cqVector->pop_back();
}
}
// cqVector should have the same size now as newest qVector
if (cqVector->size() != qVector.size())
{
cerr << "Size of combinedQualityVector doenst match with size of qualityVector!" << endl;
cout << "Size of combinedQualityVector: " << cqVector->size() << endl;
cout << "Size of qualityVector: " << qVector.size() << endl;
cout << "Size of countSummarizedVectors: " << countSummarizedVectors << endl;
}
}
}

View File

@ -65,6 +65,8 @@ public:
vector<Part> myBox;
vector<Part*> p_myBox;
qualityVector combinedQualityVector;
private:
unsigned int rows;