332 lines
12 KiB
C++
Executable File
332 lines
12 KiB
C++
Executable File
#include "../../header.h"
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bool SetBestOrMoreLayersArithmetical(vector<LogEntry>& log, qualityVector& cqVector);
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void calculateTrueDestructionPower(vector<LogEntry>& log, Puzzle& puzzleMat, float Layerworth);
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void cut(vector<LogEntry>& log, int& cutID);
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float capLogElements(vector<LogEntry>& log);
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void CalculateNewCombinedQuality(vector<LogEntry>& log, qualityVector& qVector, qualityVector& cqVector);
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bool next(vector<LogEntry>& log,Puzzle& puzzleMat)
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{
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//last log element is set, create new log element or log not yet started
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if(!(log.size()) || log.back().isSet())
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if((puzzleMat.allSet()))
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return false; //puzzle solved
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else createNextLogElement(log,puzzleMat);
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//last log element is empty, backtrack
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else if(!(log.back().PieceCollector.size()))
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{
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if(!(backtrack(log,puzzleMat)))
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return false;
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}
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//case last log element has multiple entries
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else if(log.back().PieceCollector.size() > 1)
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//moreLayers is 0, setbest is 1
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if (SetBestOrMoreLayersArithmetical(log, puzzleMat.combinedQualityVector)) setsolution(log, puzzleMat);
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else solve(log, puzzleMat);
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//case last log exactly one solution
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else if(log.back().PieceCollector.size() == 1)
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if(log.back().hasRandomed())
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if(log.back().abstractionLevel < 2)//do 2 at least two best abstractions to check if part is okay
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solve(log,puzzleMat);
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else
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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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{
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log.emplace_back(LogEntry(coor(0, 0)));
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log.back().myCoor = calculateNextCoor(log, puzzleMat);
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puzzleMat.dp.DestructionOfSurrounding(log.back().myCoor);//calculate dp from surrounding
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//get all not set pieces
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for(auto it:puzzleMat.p_myBox)
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if(!it->set)
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log.back().PieceCollector.emplace_back(pair<float,Part*>(0,it));
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solve(log,puzzleMat);
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}
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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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unsigned int col= log.rbegin()[1].myCoor.col;
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unsigned int row= log.rbegin()[1].myCoor.row;
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if(row<puzzleMat.getSizeAsCoor().row-1) row++;
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else if(col<puzzleMat.getSizeAsCoor().col-1){ row=0; col++;}
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return {col,row};
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}
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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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default:
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break;
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}
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float worth = capLogElements(log);
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calculateTrueDestructionPower(log,puzzleMat, worth);
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CalculateNewCombinedQuality(log, log.back().PieceCollector, puzzleMat.combinedQualityVector);
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}
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//removes from box and makes log "set"
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void setsolution(vector<LogEntry>& log, Puzzle& puzzleMat)
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{
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//advance number of randomed part count
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if(log.back().PieceCollector.size()>1) log.back().advanceRandomed();
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//'set=true' all 4 rotations of pieces in puzzleBox
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for(int i=0;i<puzzleMat.p_myBox.size();i++)
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if(puzzleMat.p_myBox[i]->GetPartID()==log.back().PieceCollector.begin()->second->GetPartID())
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puzzleMat.p_myBox[i]->set=true;
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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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bool backtrack(vector<LogEntry>& log, Puzzle& puzzleMat)
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{
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if(log.empty())
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{
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cout << "Puzzle not solveable!" << endl;
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return false;
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}
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puzzleMat.combinedQualityVector.clear(); //remove all data from temp quality save
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//if more pieces possible, tset piece as not logged
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if((log.back().PieceCollector.size())>1)
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{
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for(int i=0;i<puzzleMat.p_myBox.size();i++)
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if(puzzleMat.p_myBox[i]->GetPartID()==log.back().PieceCollector.begin()->second->GetPartID())//sets all with partid
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puzzleMat.p_myBox[i]->set=false;
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log.back().PieceCollector.erase(log.back().PieceCollector.begin());
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if(log.back().PieceCollector.size()==1)
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log.back().decreaseRandomed();
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setsolution(log,puzzleMat);
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return true;
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}
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//else remove log element and backtrack once more
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else
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{
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puzzleMat.removeConstrains(log.back().myCoor); //this should remove constraints from all layers
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if((log.back().PieceCollector.size()))
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for(int i=0;i<puzzleMat.p_myBox.size();i++)
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if(puzzleMat.p_myBox[i]->GetPartID()==log.back().PieceCollector.begin()->second->GetPartID())//sets all with partid
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puzzleMat.p_myBox[i]->set=false;
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log.pop_back();
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if(!backtrack(log,puzzleMat))
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return false;
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return true;
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}
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}
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//this is addon stuff that should later all be extracted into a sererate cpp as it is not core dispatcher functionality
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void calculateTrueDestructionPower(vector<LogEntry>& log, Puzzle& puzzleMat, float Layerworth) {
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float destructionPower = sqrt(
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Layerworth * puzzleMat.dp.m_constraintMatrix[0][0].SpeedTable[log.back().abstractionLevel]);
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//save destructionArray for when coor is done
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if(puzzleMat.tmp_destructionArray.empty())
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for(auto it:puzzleMat.dp.m_constraintMatrix[log.back().myCoor.col][log.back().myCoor.row].DestructionArray)
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puzzleMat.tmp_destructionArray.emplace_back(it);
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puzzleMat.tmp_destructionArray[log.back().abstractionLevel]=destructionPower;
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}
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// PART RAUER_WEIDINGER
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float capLogElements(vector<LogEntry>& log)
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{
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// Till Now only ground structure -> incorrect variable ans vector names
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double limit = 0.6;
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double diff = 0;
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int id=0;
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double maxdiff = 0;
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int vectorsizeBefore = 0;
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int vectorsizeAfter = 0;
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double destroyed = 0; // destroyed parts in %
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vectorsizeBefore = log.back().PieceCollector.size();
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sort(log.back().PieceCollector.begin(),log.back().PieceCollector.end()); // Sort the vector after probabilities
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reverse(log.back().PieceCollector.begin(),log.back().PieceCollector.end());
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for(;id<log.back().PieceCollector.size();id++)
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{
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if(log.back().PieceCollector[id].first < limit)
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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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while(id<(log.back().PieceCollector.size()-1)) //find maximum difference in function
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{
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if(!log.back().PieceCollector[id].first)
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break;
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diff = log.back().PieceCollector[id].first - log.back().PieceCollector[++id].first;
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if(diff > maxdiff)
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{
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maxdiff = diff;
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newid = id;
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}
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}
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cut(log,newid);
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vectorsizeAfter = log.back().PieceCollector.size();
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destroyed = ((double)vectorsizeBefore - (double)vectorsizeAfter) / (double)vectorsizeBefore;
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return (float)sqrt(destroyed*maxdiff);
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}
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void cut(vector<LogEntry>& log, int& cutID)
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{
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while(cutID<log.back().PieceCollector.size())
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log.back().PieceCollector.erase(log.back().PieceCollector.begin()+cutID);
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}
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// -------------------- Part David: SetBest and CalculateCombinedQuality --------------------
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// pruefen, ob mehr als X combinedQualities ueber dem Grenzwert sind. Wenn nur noch Y Pieces ueber bleiben, dann setBest!
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// geeignete Threshold values muessen noch getestet werden
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bool SetBestOrMoreLayersArithmetical(vector<LogEntry>& log, qualityVector& cqVector)
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{
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float threshold, tempBest = 0.0;
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unsigned int countHigherThreshold = 0;
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if(cqVector.empty())
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{
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//cerr << "combinedQualityVector is empty." << endl; // should not be empty => backtrack?
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return false; // Warning: can only return true or false. What return for error?
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}
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else
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{
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switch(log.back().abstractionLevel)
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{
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case 0: threshold = 0.90; break;
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case 1: threshold = 0.80; break;
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case 2: threshold = 0.75; break;
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case 3: threshold = 0.66; break;
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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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if ((cqVector.back().first / log.back().abstractionLevel) >= threshold) // const threshold values
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// count how many Pieces are greater than the threshold value
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countHigherThreshold++;
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else
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if ((cqVector.back().first / log.back().abstractionLevel) > tempBest)
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tempBest = cqVector.back().first; // could be used, for additional constraints
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// return true if only one piece is left
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if (1 == countHigherThreshold)
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{
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return true;
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}
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else
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{
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return false;
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}
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}
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}
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// jede Quality vom Piececollector zu einer combinedQuality aufsummieren (von jedem bereits verwendetem Layer)
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// Achtung: Es muss noch der Mittelwert gebildet werden => SetBestOrMoreLayersArithmetical
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void CalculateNewCombinedQuality(vector<LogEntry>& log, qualityVector& qVector, qualityVector& cqVector)
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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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{
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//cerr << "qualityVector is empty." << endl; // should not be empty => backtrack?
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return;
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}
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if(cqVector.empty())
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{
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//cout << "combinedQualityVector was initialized." << endl; //first layer stuff eh
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for(auto it:qVector)
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cqVector.emplace_back(it);
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}
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else
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{
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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->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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if (cqVector.size() != qVector.size()) {
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cerr << "Size of combinedQualityVector doenst match with size of qualityVector!" << endl;
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cout << "Size of combinedQualityVector: " << cqVector.size() << endl;
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cout << "Size of qualityVector: " << qVector.size() << endl;
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cout << "Size of countSummarizedVectors: " << countSummarizedVectors << endl;
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}
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}
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} |