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Implemented mdp building and checking 

Former-commit-id: f1af701571
main
TimQu 11 years ago
parent
6206147e1a
commit
c9c6d1e199
4 changed files with 341 additions and 39 deletions
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  1. 336
      src/modelchecker/reachability/SparseDtmcRegionModelChecker.cpp
  2. 30
      src/modelchecker/reachability/SparseDtmcRegionModelChecker.h
  3. 8
      src/utility/regions.cpp
  4. 6
      src/utility/regions.h

336
src/modelchecker/reachability/SparseDtmcRegionModelChecker.cpp
View File

@ -53,6 +53,16 @@ namespace storm {
template<typename ParametricType, typename ConstantType>
void SparseDtmcRegionModelChecker<ParametricType, ConstantType>::ParameterRegion::setCheckResult(RegionCheckResult checkResult) {
//a few sanity checks
STORM_LOG_THROW((this->checkResult==RegionCheckResult::UNKNOWN || checkResult!=RegionCheckResult::UNKNOWN),storm::exceptions::InvalidArgumentException, "Tried to change the check result of a region from something known to UNKNOWN ");
STORM_LOG_THROW((this->checkResult!=RegionCheckResult::EXISTSSAT || checkResult!=RegionCheckResult::EXISTSUNSAT),storm::exceptions::InvalidArgumentException, "Tried to change the check result of a region from EXISTSSAT to EXISTSUNSAT");
STORM_LOG_THROW((this->checkResult!=RegionCheckResult::EXISTSSAT || checkResult!=RegionCheckResult::ALLUNSAT),storm::exceptions::InvalidArgumentException, "Tried to change the check result of a region from EXISTSSAT to ALLUNSAT");
STORM_LOG_THROW((this->checkResult!=RegionCheckResult::EXISTSUNSAT || checkResult!=RegionCheckResult::EXISTSSAT),storm::exceptions::InvalidArgumentException, "Tried to change the check result of a region from EXISTSUNSAT to EXISTSSAT");
STORM_LOG_THROW((this->checkResult!=RegionCheckResult::EXISTSUNSAT || checkResult!=RegionCheckResult::ALLSAT),storm::exceptions::InvalidArgumentException, "Tried to change the check result of a region from EXISTSUNSAT to ALLSAT");
STORM_LOG_THROW((this->checkResult!=RegionCheckResult::EXISTSBOTH || checkResult!=RegionCheckResult::ALLSAT),storm::exceptions::InvalidArgumentException, "Tried to change the check result of a region from EXISTSBOTH to ALLSAT");
STORM_LOG_THROW((this->checkResult!=RegionCheckResult::EXISTSBOTH || checkResult!=RegionCheckResult::ALLUNSAT),storm::exceptions::InvalidArgumentException, "Tried to change the check result of a region from EXISTSBOTH to ALLUNSAT");
STORM_LOG_THROW((this->checkResult!=RegionCheckResult::ALLSAT || checkResult==RegionCheckResult::ALLSAT),storm::exceptions::InvalidArgumentException, "Tried to change the check result of a region from ALLSAT to something else");
STORM_LOG_THROW((this->checkResult!=RegionCheckResult::ALLUNSAT || checkResult==RegionCheckResult::ALLUNSAT),storm::exceptions::InvalidArgumentException, "Tried to change the check result of a region from ALLUNSAT to something else");
this->checkResult = checkResult;
}
@ -92,7 +102,7 @@ namespace storm {
std::size_t const numOfVertices=std::pow(2,numOfVariables);
std::vector<std::map<VariableType, BoundType>> resultingVector(numOfVertices,std::map<VariableType, BoundType>());
if(numOfVertices==1){
//no variables are given, the returned vector will still contain an empty map
//no variables are given, the returned vector should still contain an empty map
return resultingVector;
}
@ -119,12 +129,16 @@ namespace storm {
switch (this->checkResult) {
case RegionCheckResult::UNKNOWN:
return "unknown";
case RegionCheckResult::EXISTSSAT:
return "ExistsSat";
case RegionCheckResult::EXISTSUNSAT:
return "ExistsUnsat";
case RegionCheckResult::EXISTSBOTH:
return "ExistsBoth";
case RegionCheckResult::ALLSAT:
return "allSat";
case RegionCheckResult::ALLUNSAT:
return "allUnsat";
case RegionCheckResult::INCONCLUSIVE:
return "Inconclusive";
}
STORM_LOG_THROW(false, storm::exceptions::UnexpectedException, "Could not identify check result")
return "ERROR";
@ -234,7 +248,9 @@ namespace storm {
//eliminate the remaining states to get the reachability probability function
this->sparseTransitions = flexibleTransitions.getSparseMatrix();
this->sparseBackwardTransitions = this->sparseTransitions.transpose();
std::chrono::high_resolution_clock::time_point timeComputeReachProbFunctionStart = std::chrono::high_resolution_clock::now();
this->reachProbFunction = computeReachProbFunction(this->subsystem, this->flexibleTransitions, this->flexibleBackwardTransitions, this->sparseTransitions, this->sparseBackwardTransitions, this->oneStepProbabilities, this->initialState);
std::chrono::high_resolution_clock::time_point timeComputeReachProbFunctionEnd = std::chrono::high_resolution_clock::now();
// std::cout << std::endl <<"the resulting reach prob function is " << std::endl << this->reachProbFunction << std::endl << std::endl;
std::chrono::high_resolution_clock::time_point timeInitialStateEliminationEnd = std::chrono::high_resolution_clock::now();
@ -242,7 +258,18 @@ namespace storm {
std::chrono::high_resolution_clock::time_point timePreprocessingEnd = std::chrono::high_resolution_clock::now();
this->timePreprocessing= timePreprocessingEnd - timePreprocessingStart;
this->timeInitialStateElimination = timeInitialStateEliminationEnd-timeInitialStateEliminationStart;
this->timeComputeReachProbFunction = timeComputeReachProbFunctionEnd-timeComputeReachProbFunctionStart;
this->numOfCheckedRegions=0;
this->numOfRegionsSolvedThroughSampling=0;
this->numOfRegionsSolvedThroughApproximation=0;
this->numOfRegionsSolvedThroughSubsystemSmt=0;
this->numOfRegionsSolvedThroughFullSmt=0;
this->timeCheckRegion=std::chrono::high_resolution_clock::duration::zero();
this->timeSampling=std::chrono::high_resolution_clock::duration::zero();
this->timeApproximation=std::chrono::high_resolution_clock::duration::zero();
this->timeMDPBuild=std::chrono::high_resolution_clock::duration::zero();
this->timeSubsystemSmt=std::chrono::high_resolution_clock::duration::zero();
this->timeFullSmt=std::chrono::high_resolution_clock::duration::zero();
}
template<typename ParametricType, typename ConstantType>
@ -350,17 +377,35 @@ namespace storm {
STORM_LOG_THROW(this->probabilityOperatorFormula!=nullptr, storm::exceptions::InvalidStateException, "Tried to analyze a region although no property has been specified" );
STORM_LOG_DEBUG("Analyzing the region " << region.toString());
std::cout << "Analyzing the region " << region.toString() << std::endl;
//switches for the different steps.
bool doSampling=true;
bool doApproximation=this->hasOnlyLinearFunctions; // this approach is only correct if the model has only linear functions
bool doSampling=true;
bool doSubsystemSmt=false; //this->hasOnlyLinearFunctions; // this approach is only correct if the model has only linear functions
bool doFullSmt=false; //true;
bool doFullSmt=true;
std::chrono::high_resolution_clock::time_point timeApproximationStart = std::chrono::high_resolution_clock::now();
std::vector<ConstantType> lowerBounds;
std::vector<ConstantType> upperBounds;
if(doApproximation){
STORM_LOG_DEBUG("Checking approximative probabilities...");
std::cout << " Checking approximative probabilities..." << std::endl;
if(checkApproximativeProbabilities(region, lowerBounds, upperBounds)){
++this->numOfRegionsSolvedThroughApproximation;
STORM_LOG_DEBUG("Result '" << region.checkResultToString() <<"' obtained through approximation.");
doSampling=false;
doSubsystemSmt=false;
doFullSmt=false;
}
}
std::chrono::high_resolution_clock::time_point timeApproximationEnd = std::chrono::high_resolution_clock::now();
std::chrono::high_resolution_clock::time_point timeSamplingStart = std::chrono::high_resolution_clock::now();
if(doSampling){
STORM_LOG_DEBUG("Testing Sample points...");
if(testSamplePoints(region)){
STORM_LOG_DEBUG("Checking sample points...");
std::cout << " Checking sample points..." << std::endl;
if(checkSamplePoints(region)){
++this->numOfRegionsSolvedThroughSampling;
STORM_LOG_DEBUG("Result '" << region.checkResultToString() <<"' obtained through sampling.");
doApproximation=false;
@ -370,12 +415,6 @@ namespace storm {
}
std::chrono::high_resolution_clock::time_point timeSamplingEnd = std::chrono::high_resolution_clock::now();
std::chrono::high_resolution_clock::time_point timeApproximationStart = std::chrono::high_resolution_clock::now();
if(doApproximation){
STORM_LOG_WARN("Approximation approach not yet implemented");
}
std::chrono::high_resolution_clock::time_point timeApproximationEnd = std::chrono::high_resolution_clock::now();
std::chrono::high_resolution_clock::time_point timeSubsystemSmtStart = std::chrono::high_resolution_clock::now();
if(doSubsystemSmt){
STORM_LOG_WARN("SubsystemSmt approach not yet implemented");
@ -392,11 +431,11 @@ namespace storm {
//some information for statistics...
std::chrono::high_resolution_clock::time_point timeCheckRegionEnd = std::chrono::high_resolution_clock::now();
this->timeCheckRegion = timeCheckRegionEnd-timeCheckRegionStart;
this->timeSampling = timeSamplingEnd - timeSamplingStart;
this->timeApproximation = timeApproximationEnd - timeApproximationStart;
this->timeSubsystemSmt = timeSubsystemSmtEnd - timeSubsystemSmtStart;
this->timeFullSmt = timeFullSmtEnd - timeFullSmtStart;
this->timeCheckRegion += timeCheckRegionEnd-timeCheckRegionStart;
this->timeSampling += timeSamplingEnd - timeSamplingStart;
this->timeApproximation += timeApproximationEnd - timeApproximationStart;
this->timeSubsystemSmt += timeSubsystemSmtEnd - timeSubsystemSmtStart;
this->timeFullSmt += timeFullSmtEnd - timeFullSmtStart;
}
@ -408,41 +447,254 @@ namespace storm {
}
template<typename ParametricType, typename ConstantType>
bool SparseDtmcRegionModelChecker<ParametricType, ConstantType>::testSamplePoints(ParameterRegion& region) {
bool SparseDtmcRegionModelChecker<ParametricType, ConstantType>::checkSamplePoints(ParameterRegion& region) {
auto samplingPoints = region.getVerticesOfRegion(region.getVariables()); //only test the 4 corner points (for now)
bool regionHasSatPoint = !region.getSatPoint().empty();
bool regionHasUnSatPoint = !region.getUnSatPoint().empty();
for (auto const& point : samplingPoints){
// check whether the property is satisfied or not at the given point
if(this->valueIsInBoundOfFormula(storm::utility::regions::evaluateFunction<ParametricType, ConstantType>(this->reachProbFunction, point))){
if (!regionHasSatPoint){
if (region.getCheckResult()!=RegionCheckResult::EXISTSSAT){
region.setSatPoint(point);
regionHasSatPoint=true;
if(regionHasUnSatPoint){
region.setCheckResult(RegionCheckResult::INCONCLUSIVE);
if(region.getCheckResult()==RegionCheckResult::EXISTSUNSAT){
region.setCheckResult(RegionCheckResult::EXISTSBOTH);
return true;
}
region.setCheckResult(RegionCheckResult::EXISTSSAT);
}
}
else{
if (!regionHasUnSatPoint){
if (region.getCheckResult()!=RegionCheckResult::EXISTSUNSAT){
region.setUnSatPoint(point);
regionHasUnSatPoint=true;
if(regionHasSatPoint){
region.setCheckResult(RegionCheckResult::INCONCLUSIVE);
if(region.getCheckResult()==RegionCheckResult::EXISTSSAT){
region.setCheckResult(RegionCheckResult::EXISTSBOTH);
return true;
}
region.setCheckResult(RegionCheckResult::EXISTSUNSAT);
}
}
}
return false;
}
template<typename ParametricType, typename ConstantType>
bool SparseDtmcRegionModelChecker<ParametricType, ConstantType>::checkApproximativeProbabilities(ParameterRegion& region, std::vector<ConstantType>& lowerBounds, std::vector<ConstantType>& upperBounds) {
STORM_LOG_THROW(this->hasOnlyLinearFunctions, storm::exceptions::UnexpectedException, "Tried to generate bounds on the probability (only applicable if all functions are linear), but there are nonlinear functions.");
//build the mdp and a reachability formula and create a modelchecker
std::chrono::high_resolution_clock::time_point timeMDPBuildStart = std::chrono::high_resolution_clock::now();
storm::models::sparse::Mdp<ConstantType> mdp = buildMdpForApproximation(region);
std::chrono::high_resolution_clock::time_point timeMDPBuildEnd = std::chrono::high_resolution_clock::now();
this->timeMDPBuild += timeMDPBuildEnd-timeMDPBuildStart;
std::shared_ptr<storm::logic::Formula> targetFormulaPtr(new storm::logic::AtomicLabelFormula("target"));
storm::logic::EventuallyFormula eventuallyFormula(targetFormulaPtr);
storm::modelchecker::SparseMdpPrctlModelChecker<ConstantType> modelChecker(mdp);
//Decide whether we should compute lower or upper bounds first.
//This does not matter if the current result is unknown. However, let us assume that it is more likely that the final result will be ALLSAT. So we test this first.
storm::logic::OptimalityType firstOpType;
switch (this->probabilityOperatorFormula->getComparisonType()) {
case storm::logic::ComparisonType::Greater:
case storm::logic::ComparisonType::GreaterEqual:
switch (region.getCheckResult()){
case RegionCheckResult::EXISTSSAT:
case RegionCheckResult::UNKNOWN:
firstOpType=storm::logic::OptimalityType::Minimize;
break;
case RegionCheckResult::EXISTSUNSAT:
firstOpType=storm::logic::OptimalityType::Maximize;
break;
default:
STORM_LOG_THROW(false, storm::exceptions::UnexpectedException, "The checkresult of the current region should not be conclusive, i.e. it should be either EXISTSSAT or EXISTSUNSAT or UNKNOWN");
}
break;
case storm::logic::ComparisonType::Less:
case storm::logic::ComparisonType::LessEqual:
switch (region.getCheckResult()){
case RegionCheckResult::EXISTSSAT:
case RegionCheckResult::UNKNOWN:
firstOpType=storm::logic::OptimalityType::Maximize;
break;
case RegionCheckResult::EXISTSUNSAT:
firstOpType=storm::logic::OptimalityType::Minimize;
break;
default:
STORM_LOG_THROW(false, storm::exceptions::UnexpectedException, "The checkresult of the current region should not be conclusive, i.e. it should be either EXISTSSAT or EXISTSUNSAT or UNKNOWN");
}
break;
default:
STORM_LOG_THROW(false, storm::exceptions::InvalidArgumentException, "the comparison relation of the formula is not supported");
}
//one iteration for each opType \in {Maximize, Minimize}
storm::logic::OptimalityType opType=firstOpType;
for(int i=1; i<=2; ++i){
//perform model checking on the mdp
std::unique_ptr<storm::modelchecker::CheckResult> resultPtr = modelChecker.computeEventuallyProbabilities(eventuallyFormula,false,opType);
//check if the approximation yielded a conclusive result
if(opType==storm::logic::OptimalityType::Maximize){
upperBounds = resultPtr->asExplicitQuantitativeCheckResult<ConstantType>().getValueVector();
if(valueIsInBoundOfFormula(upperBounds[*mdp.getInitialStates().begin()])){
if((this->probabilityOperatorFormula->getComparisonType()== storm::logic::ComparisonType::Less) ||
(this->probabilityOperatorFormula->getComparisonType()== storm::logic::ComparisonType::LessEqual)){
region.setCheckResult(RegionCheckResult::ALLSAT);
return true;
}
}
else{
if((this->probabilityOperatorFormula->getComparisonType()== storm::logic::ComparisonType::Greater) ||
(this->probabilityOperatorFormula->getComparisonType()== storm::logic::ComparisonType::GreaterEqual)){
region.setCheckResult(RegionCheckResult::ALLUNSAT);
return true;
}
}
//flip the optype for the next iteration
opType=storm::logic::OptimalityType::Minimize;
if(i==1) std::cout << " Requiring a second model checker run (with Minimize)" << std::endl;
}
else if(opType==storm::logic::OptimalityType::Minimize){
lowerBounds = resultPtr->asExplicitQuantitativeCheckResult<ConstantType>().getValueVector();
if(valueIsInBoundOfFormula(lowerBounds[*mdp.getInitialStates().begin()])){
if((this->probabilityOperatorFormula->getComparisonType()== storm::logic::ComparisonType::Greater) ||
(this->probabilityOperatorFormula->getComparisonType()== storm::logic::ComparisonType::GreaterEqual)){
region.setCheckResult(RegionCheckResult::ALLSAT);
return true;
}
}
else{
if((this->probabilityOperatorFormula->getComparisonType()== storm::logic::ComparisonType::Less) ||
(this->probabilityOperatorFormula->getComparisonType()== storm::logic::ComparisonType::LessEqual)){
region.setCheckResult(RegionCheckResult::ALLUNSAT);
return true;
}
}
//flip the optype for the next iteration
opType=storm::logic::OptimalityType::Maximize;
if(i==1) std::cout << " Requiring a second model checker run (with Maximize)" << std::endl;
}
}
//if we reach this point than the result is still inconclusive.
return false;
}
template<typename ParametricType, typename ConstantType>
storm::models::sparse::Mdp<ConstantType> SparseDtmcRegionModelChecker<ParametricType, ConstantType>::buildMdpForApproximation(const ParameterRegion& region) {
//We are going to build a (non parametric) MDP which has an action for the lower bound and an action for the upper bound of every parameter
//The matrix (and the Choice labeling)
//the matrix this->sparseTransitions might have empty rows where states have been eliminated.
//The MDP matrix should not have such rows. We therefore leave them out, but we have to change the indices of the states accordingly.
//These changes are computed in advance
std::vector<storm::storage::sparse::state_type> newStateIndexMap(this->sparseTransitions.getRowCount(), this->sparseTransitions.getRowCount()); //initialize with some illegal index to easily check if a transition leads to an unselected state
storm::storage::sparse::state_type newStateIndex=0;
for(auto const& state : this->subsystem){
newStateIndexMap[state]=newStateIndex;
++newStateIndex;
}
//We need to add a target state to which the oneStepProbabilities will lead as well as a sink state to which the "missing" probability will lead
storm::storage::sparse::state_type numStates=newStateIndex+2;
storm::storage::sparse::state_type targetState=numStates-2;
storm::storage::sparse::state_type sinkState= numStates-1;
storm::storage::SparseMatrixBuilder<ConstantType> matrixBuilder(0, numStates, 0, true, true, numStates);
//std::vector<boost::container::flat_set<uint_fast64_t>> choiceLabeling;
//fill in the data row by row
storm::storage::sparse::state_type currentRow=0;
for(storm::storage::sparse::state_type oldStateIndex : this->subsystem){
//we first go through the row to find out a) which parameter occur in that row and b) at which point do we have to insert the selfloop
storm::storage::sparse::state_type selfloopIndex=0;
std::set<VariableType> occurringParameters;
for(auto const& entry: this->sparseTransitions.getRow(oldStateIndex)){
storm::utility::regions::gatherOccurringVariables(entry.getValue(), occurringParameters);
if(entry.getColumn()<=oldStateIndex){
if(entry.getColumn()==oldStateIndex){
//there already is a selfloop so we do not have to add one.
selfloopIndex=numStates; // --> selfloop will never be inserted
}
else {
++selfloopIndex;
}
}
STORM_LOG_THROW(newStateIndexMap[entry.getColumn()]!=this->sparseTransitions.getRowCount(), storm::exceptions::UnexpectedException, "There is a transition to a state that should have been eliminated.");
}
storm::utility::regions::gatherOccurringVariables(this->oneStepProbabilities[oldStateIndex], occurringParameters);
//we now add a row for every combination of lower and upper bound of the variables
auto const& substitutions = region.getVerticesOfRegion(occurringParameters);
STORM_LOG_ASSERT(!substitutions.empty(), "there are no substitutions, i.e., no vertices of the current region. this should not be possible");
matrixBuilder.newRowGroup(currentRow);
for(size_t substitutionIndex=0; substitutionIndex< substitutions.size(); ++substitutionIndex){
ConstantType missingProbability = storm::utility::one<ConstantType>();
if(selfloopIndex==0){ //add the selfloop first.
matrixBuilder.addNextValue(currentRow, newStateIndexMap[oldStateIndex], storm::utility::zero<ConstantType>());
selfloopIndex=numStates; // --> selfloop will never be inserted again
}
for(auto const& entry : this->sparseTransitions.getRow(oldStateIndex)){
ConstantType value = storm::utility::regions::convertNumber<BoundType,ConstantType>(
storm::utility::regions::evaluateFunction<ParametricType,ConstantType>(entry.getValue(),substitutions[substitutionIndex])
);
missingProbability-=value;
storm::storage::sparse::state_type column = newStateIndexMap[entry.getColumn()];
matrixBuilder.addNextValue(currentRow, column, value);
--selfloopIndex;
if(selfloopIndex==0){ //add the selfloop now
matrixBuilder.addNextValue(currentRow, newStateIndexMap[oldStateIndex], storm::utility::zero<ConstantType>());
selfloopIndex=numStates; // --> selfloop will never be inserted again
}
}
if(!this->parametricTypeComparator.isZero(this->oneStepProbabilities[oldStateIndex])){ //transition to target state
ConstantType value = storm::utility::regions::convertNumber<BoundType,ConstantType>(
storm::utility::regions::evaluateFunction<ParametricType,ConstantType>(this->oneStepProbabilities[oldStateIndex],substitutions[substitutionIndex])
);
missingProbability-=value;
matrixBuilder.addNextValue(currentRow, targetState, value);
}
if(!this->constantTypeComparator.isZero(missingProbability)){ //transition to sink state
STORM_LOG_THROW((missingProbability> -storm::utility::regions::convertNumber<double, ConstantType>(storm::settings::generalSettings().getPrecision())), storm::exceptions::UnexpectedException, "The missing probability is negative.");
matrixBuilder.addNextValue(currentRow, sinkState, missingProbability);
}
//boost::container::flat_set<uint_fast64_t> label;
//label.insert(substitutionIndex);
//choiceLabeling.emplace_back(label);
++currentRow;
}
}
//add self loops on the additional states (i.e., target and sink)
//boost::container::flat_set<uint_fast64_t> labelAll;
//labelAll.insert(substitutions.size());
matrixBuilder.newRowGroup(currentRow);
matrixBuilder.addNextValue(currentRow, targetState, storm::utility::one<ConstantType>());
// choiceLabeling.emplace_back(labelAll);
++currentRow;
matrixBuilder.newRowGroup(currentRow);
matrixBuilder.addNextValue(currentRow, sinkState, storm::utility::one<ConstantType>());
// choiceLabeling.emplace_back(labelAll);
++currentRow;
//The labeling
storm::models::sparse::StateLabeling stateLabeling(numStates);
storm::storage::BitVector initLabel(numStates, false);
initLabel.set(newStateIndexMap[this->initialState], true);
stateLabeling.addLabel("init", std::move(initLabel));
storm::storage::BitVector targetLabel(numStates, false);
targetLabel.set(numStates-2, true);
stateLabeling.addLabel("target", std::move(targetLabel));
storm::storage::BitVector sinkLabel(numStates, false);
sinkLabel.set(numStates-1, true);
stateLabeling.addLabel("sink", std::move(sinkLabel));
// The MDP
boost::optional<std::vector<ConstantType>> noStateRewards;
boost::optional<storm::storage::SparseMatrix<ConstantType>> noTransitionRewards;
boost::optional<std::vector<boost::container::flat_set<uint_fast64_t>>> noChoiceLabeling;
return storm::models::sparse::Mdp<ConstantType>(matrixBuilder.build(), std::move(stateLabeling), std::move(noStateRewards), std::move(noTransitionRewards), std::move(noChoiceLabeling));
}
@ -947,8 +1199,13 @@ namespace storm {
std::chrono::milliseconds timePreprocessingInMilliseconds = std::chrono::duration_cast<std::chrono::milliseconds>(this->timePreprocessing);
std::chrono::milliseconds timeInitialStateEliminationInMilliseconds = std::chrono::duration_cast<std::chrono::milliseconds>(this->timeInitialStateElimination);
std::chrono::milliseconds timeComputeReachProbFunctionInMilliseconds = std::chrono::duration_cast<std::chrono::milliseconds>(this->timeComputeReachProbFunction);
std::chrono::milliseconds timeCheckRegionInMilliseconds = std::chrono::duration_cast<std::chrono::milliseconds>(this->timeCheckRegion);
std::chrono::milliseconds timeSammplingInMilliseconds = std::chrono::duration_cast<std::chrono::milliseconds>(this->timeSampling);
std::chrono::milliseconds timeApproximationInMilliseconds = std::chrono::duration_cast<std::chrono::milliseconds>(this->timeApproximation);
std::chrono::milliseconds timeMDPBuildInMilliseconds = std::chrono::duration_cast<std::chrono::milliseconds>(this->timeMDPBuild);
std::chrono::high_resolution_clock::duration timeOverall = timePreprocessing; // + ...
std::chrono::high_resolution_clock::duration timeOverall = timePreprocessing + timeCheckRegion; // + ...
std::chrono::milliseconds timeOverallInMilliseconds = std::chrono::duration_cast<std::chrono::milliseconds>(timeOverall);
std::size_t subsystemTransitions = this->sparseTransitions.getNonzeroEntryCount();
@ -963,12 +1220,21 @@ namespace storm {
outstream << "Model: " << this->model.getNumberOfStates() << " states, " << this->model.getNumberOfTransitions() << " transitions." << std::endl;
outstream << "Reduced model: " << this->subsystem.getNumberOfSetBits() << " states, " << subsystemTransitions << "transitions" << std::endl;
outstream << "Formula: " << *this->probabilityOperatorFormula << std::endl;
outstream << "All occuring functions in the model are " << (this->hasOnlyLinearFunctions ? "" : "not") << " linear" << std::endl;
outstream << "Number of checked regions: " << this->numOfCheckedRegions << std::endl;
outstream << (this->hasOnlyLinearFunctions ? "A" : "Not a") << "ll occuring functions in the model are linear" << std::endl;
outstream << "Number of checked regions: " << this->numOfCheckedRegions << " with..." << std::endl;
outstream << " " << this->numOfRegionsSolvedThroughSampling << " regions solved through sampling" << std::endl;
outstream << " " << this->numOfRegionsSolvedThroughApproximation << " regions solved through Approximation" << std::endl;
outstream << " " << this->numOfRegionsSolvedThroughSubsystemSmt << " regions solved through SubsystemSmt" << std::endl;
outstream << " " << this->numOfRegionsSolvedThroughFullSmt << " regions solved through FullSmt" << std::endl;
outstream << "Running times:" << std::endl;
outstream << " " << timeOverallInMilliseconds.count() << "ms overall" << std::endl;
outstream << " " << timePreprocessingInMilliseconds.count() << "ms Preprocessing including... " << std::endl;
outstream << " " << timeInitialStateEliminationInMilliseconds.count() << "ms Initial state elimination" << std::endl;
outstream << " " << timeInitialStateEliminationInMilliseconds.count() << "ms Initial state elimination including..." << std::endl;
outstream << " " << timeComputeReachProbFunctionInMilliseconds.count() << "ms to compute the reachability probability function" << std::endl;
outstream << " " << timeCheckRegionInMilliseconds.count() << "ms Region Check including... " << std::endl;
outstream << " " << timeSammplingInMilliseconds.count() << "ms Sampling " << std::endl;
outstream << " " << timeApproximationInMilliseconds.count() << "ms Approximation including... " << std::endl;
outstream << " " << timeMDPBuildInMilliseconds.count() << "ms to build the MDP" << std::endl;
//outstream << " " << timeInMilliseconds.count() << "ms " << std::endl;
outstream << "-----------------------------------------------" << std::endl;

30
src/modelchecker/reachability/SparseDtmcRegionModelChecker.h
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@ -27,9 +27,11 @@ namespace storm {
*/
enum class RegionCheckResult {
UNKNOWN, /*!< the result is unknown */
EXISTSSAT, /*!< the formula is satisfied for at least one parameter evaluation that lies in the given region */
EXISTSUNSAT, /*!< the formula is violated for at least one parameter evaluation that lies in the given region */
EXISTSBOTH, /*!< the formula is satisfied for some parameters but also violated for others */
ALLSAT, /*!< the formula is satisfied for all parameters in the given region */
ALLUNSAT, /*!< the formula is violated for all parameters in the given region */
INCONCLUSIVE /*!< the formula is satisfied for some parameters but also violated for others */
ALLUNSAT /*!< the formula is violated for all parameters in the given region */
};
class ParameterRegion{
@ -49,6 +51,8 @@ namespace storm {
* The second entry will map every variable to its lower bound, except the first one (i.e. *consVariables.begin())
* ...
* The last entry will map every variable to its upper bound
*
* If the given set of variables is empty, the returned vector will contain an empty map
*/
std::vector<std::map<VariableType, BoundType>> getVerticesOfRegion(std::set<VariableType> const& consideredVariables) const;
@ -216,11 +220,27 @@ namespace storm {
/*!
* Checks the value of the function at some sampling points within the given region
* may set the satPoint and unSatPoint of the regions if they are not yet specified and such points are found
* may also change the regioncheckresult of the region
* Also changes the regioncheckresult of the region to EXISTSSAT, EXISTSUNSAT, or EXISTSBOTH
*
* @return true if an unsat point as well as a sat point has been found during the process
*/
bool testSamplePoints(ParameterRegion& region);
bool checkSamplePoints(ParameterRegion& region);
/*!
* Builds an MDP that is used to compute bounds on the maximal/minimal reachability probability,
* If this approximation already yields that the property is satisfied/violated in the whole region,
* true is returned and the regioncheckresult of the region is changed accordingly.
* The computed bounds are stored in the given vectors.
* However, it only the lowerBounds (or upperBounds) need to be computed in order to get a conclusive result,
* the upperBounds (or lowerBounds) vector remains untouched.
*/
bool checkApproximativeProbabilities(ParameterRegion& region, std::vector<ConstantType>& lowerBounds, std::vector<ConstantType>& upperBounds);
/*!
* Actually builds the mdp that is used to obtain bounds on the maximal/minimal reachability probability
*/
storm::models::sparse::Mdp<ConstantType> buildMdpForApproximation(ParameterRegion const& region);
@ -269,9 +289,11 @@ namespace storm {
std::chrono::high_resolution_clock::duration timePreprocessing;
std::chrono::high_resolution_clock::duration timeInitialStateElimination;
std::chrono::high_resolution_clock::duration timeComputeReachProbFunction;
std::chrono::high_resolution_clock::duration timeCheckRegion;
std::chrono::high_resolution_clock::duration timeSampling;
std::chrono::high_resolution_clock::duration timeApproximation;
std::chrono::high_resolution_clock::duration timeMDPBuild;
std::chrono::high_resolution_clock::duration timeSubsystemSmt;
std::chrono::high_resolution_clock::duration timeFullSmt;
};

8
src/utility/regions.cpp
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@ -168,6 +168,11 @@ namespace storm {
return result;
}
template<>
void gatherOccurringVariables<storm::RationalFunction, storm::Variable>(storm::RationalFunction const& function, std::set<storm::Variable>& variableSet){
function.gatherVariables(variableSet);
}
//explicit instantiations
template double convertNumber<double, double>(double const& number, bool const& roundDown, double const& precision);
@ -183,6 +188,9 @@ namespace storm {
template std::string getVariableName<storm::Variable>(storm::Variable variable);
template bool functionIsLinear<storm::RationalFunction>(storm::RationalFunction const& function);
template void gatherOccurringVariables<storm::RationalFunction, storm::Variable>(storm::RationalFunction const& function, std::set<storm::Variable>& variableSet);
#endif
}
}

6
src/utility/regions.h
View File

@ -107,6 +107,12 @@ namespace storm {
template<typename ParametricType>
bool functionIsLinear(ParametricType const& function);
/*!
* Add all variables that occur in the given function to the the given set
*/
template<typename ParametricType, typename VariableType>
void gatherOccurringVariables(ParametricType const& function, std::set<VariableType>& variableSet);
}
}
}

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