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introduce bounded globally mc for MDPs

tempestpy_adaptions
Stefan Pranger 2 months ago
parent
0d60b468e1
commit
6a79986980
2 changed files with 47 additions and 18 deletions
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  1. 52
      src/storm/modelchecker/prctl/SparseMdpPrctlModelChecker.cpp
  2. 13
      src/storm/modelchecker/prctl/SparseMdpPrctlModelChecker.h

52
src/storm/modelchecker/prctl/SparseMdpPrctlModelChecker.cpp
View File

@ -45,7 +45,7 @@ namespace storm {
template<typename SparseMdpModelType>
bool SparseMdpPrctlModelChecker<SparseMdpModelType>::canHandleStatic(CheckTask<storm::logic::Formula, ValueType> const& checkTask, bool* requiresSingleInitialState) {
storm::logic::Formula const& formula = checkTask.getFormula();
if (formula.isInFragment(storm::logic::prctlstar().setLongRunAverageRewardFormulasAllowed(true).setLongRunAverageProbabilitiesAllowed(true).setConditionalProbabilityFormulasAllowed(true).setOnlyEventuallyFormuluasInConditionalFormulasAllowed(true).setTotalRewardFormulasAllowed(true).setRewardBoundedUntilFormulasAllowed(true).setRewardBoundedCumulativeRewardFormulasAllowed(true).setMultiDimensionalBoundedUntilFormulasAllowed(true).setMultiDimensionalCumulativeRewardFormulasAllowed(true).setTimeOperatorsAllowed(true).setReachbilityTimeFormulasAllowed(true).setRewardAccumulationAllowed(true))) {
if (formula.isInFragment(storm::logic::prctlstar().setLongRunAverageRewardFormulasAllowed(true).setLongRunAverageProbabilitiesAllowed(true).setConditionalProbabilityFormulasAllowed(true).setOnlyEventuallyFormuluasInConditionalFormulasAllowed(true).setTotalRewardFormulasAllowed(true).setRewardBoundedUntilFormulasAllowed(true).setRewardBoundedCumulativeRewardFormulasAllowed(true).setMultiDimensionalBoundedUntilFormulasAllowed(true).setBoundedGloballyFormulasAllowed(true).setMultiDimensionalCumulativeRewardFormulasAllowed(true).setTimeOperatorsAllowed(true).setReachbilityTimeFormulasAllowed(true).setRewardAccumulationAllowed(true))) {
return true;
} else if (checkTask.isOnlyInitialStatesRelevantSet()) {
auto multiObjectiveFragment = storm::logic::multiObjective().setCumulativeRewardFormulasAllowed(true).setTimeBoundedCumulativeRewardFormulasAllowed(true).setStepBoundedCumulativeRewardFormulasAllowed(true).setRewardBoundedCumulativeRewardFormulasAllowed(true).setTimeBoundedUntilFormulasAllowed(true).setStepBoundedUntilFormulasAllowed(true).setRewardBoundedUntilFormulasAllowed(true).setMultiDimensionalBoundedUntilFormulasAllowed(true).setMultiDimensionalCumulativeRewardFormulasAllowed(true).setRewardAccumulationAllowed(true);
@ -69,6 +69,34 @@ namespace storm {
}
}
template<typename SparseMdpModelType>
std::unique_ptr<CheckResult> SparseMdpPrctlModelChecker<SparseMdpModelType>::computeBoundedGloballyProbabilities(Environment const& env, CheckTask<storm::logic::BoundedGloballyFormula, ValueType> const& checkTask) {
storm::logic::BoundedGloballyFormula const& pathFormula = checkTask.getFormula();
STORM_LOG_THROW(checkTask.isOptimizationDirectionSet(), storm::exceptions::InvalidPropertyException, "Formula needs to specify whether minimal or maximal values are to be computed on nondeterministic model.");
STORM_LOG_THROW(pathFormula.hasUpperBound(), storm::exceptions::InvalidPropertyException, "Formula needs to have (a single) upper step bound.");
STORM_LOG_THROW(pathFormula.hasIntegerLowerBound(), storm::exceptions::InvalidPropertyException, "Formula lower step bound must be discrete/integral.");
STORM_LOG_THROW(pathFormula.hasIntegerUpperBound(), storm::exceptions::InvalidPropertyException, "Formula needs to have discrete upper time bound.");
std::unique_ptr<CheckResult> subResultPointer = this->check(env, pathFormula.getSubformula());
ExplicitQualitativeCheckResult const& subResult = subResultPointer->asExplicitQualitativeCheckResult();
storm::modelchecker::helper::SparseNondeterministicStepBoundedHorizonHelper<ValueType> helper;
std::vector<ValueType> numericResult;
//This works only with empty vectors, no nullptr
storm::storage::BitVector resultMaybeStates;
std::vector<ValueType> choiceValues;
storm::storage::BitVector allStatesBv = storm::storage::BitVector(this->getModel().getTransitionMatrix().getRowGroupCount(), true);
numericResult = helper.compute(env, storm::solver::SolveGoal<ValueType>(this->getModel(), checkTask), this->getModel().getTransitionMatrix(), this->getModel().getBackwardTransitions(), allStatesBv, ~subResult.getTruthValuesVector(), pathFormula.getNonStrictLowerBound<uint64_t>(), pathFormula.getNonStrictUpperBound<uint64_t>(), resultMaybeStates, choiceValues, checkTask.getHint());
// flip directions TODO
std::unique_ptr<CheckResult> result(new ExplicitQuantitativeCheckResult<ValueType>(std::move(numericResult)));
if(checkTask.isShieldingTask()) {
auto shield = tempest::shields::createShield<ValueType>(std::make_shared<storm::models::sparse::Mdp<ValueType>>(this->getModel()), std::move(choiceValues), checkTask.getShieldingExpression(), checkTask.getOptimizationDirection(), std::move(resultMaybeStates), storm::storage::BitVector(resultMaybeStates.size(), true));
result->asExplicitQuantitativeCheckResult<ValueType>().setShield(std::move(shield));
}
return result;
}
template<typename SparseMdpModelType>
std::unique_ptr<CheckResult> SparseMdpPrctlModelChecker<SparseMdpModelType>::computeBoundedUntilProbabilities(Environment const& env, CheckTask<storm::logic::BoundedUntilFormula, ValueType> const& checkTask) {
storm::logic::BoundedUntilFormula const& pathFormula = checkTask.getFormula();
@ -103,9 +131,9 @@ namespace storm {
std::unique_ptr<CheckResult> result(new ExplicitQuantitativeCheckResult<ValueType>(std::move(numericResult)));
if(checkTask.isShieldingTask()) {
auto shield = tempest::shields::createShield<ValueType>(std::make_shared<storm::models::sparse::Mdp<ValueType>>(this->getModel()), std::move(choiceValues), checkTask.getShieldingExpression(), checkTask.getOptimizationDirection(), std::move(resultMaybeStates), storm::storage::BitVector(resultMaybeStates.size(), true));
result->asExplicitQuantitativeCheckResult<ValueType>().setShield(std::move(shield));
result->asExplicitQuantitativeCheckResult<ValueType>().setShield(std::move(shield));
}
return result;
}
}
@ -120,7 +148,7 @@ namespace storm {
std::unique_ptr<CheckResult> result(new ExplicitQuantitativeCheckResult<ValueType>(std::move(ret.values)));
if(checkTask.isShieldingTask()) {
auto shield = tempest::shields::createShield<ValueType>(std::make_shared<storm::models::sparse::Mdp<ValueType>>(this->getModel()), std::move(ret.choiceValues), checkTask.getShieldingExpression(), checkTask.getOptimizationDirection(), std::move(ret.maybeStates), storm::storage::BitVector(ret.maybeStates.size(), true));
result->asExplicitQuantitativeCheckResult<ValueType>().setShield(std::move(shield));
result->asExplicitQuantitativeCheckResult<ValueType>().setShield(std::move(shield));
}
if (checkTask.isProduceSchedulersSet() && ret.scheduler) {
result->asExplicitQuantitativeCheckResult<ValueType>().setScheduler(std::move(ret.scheduler));
@ -139,10 +167,10 @@ namespace storm {
auto ret = storm::modelchecker::helper::SparseMdpPrctlHelper<ValueType>::computeUntilProbabilities(env, storm::solver::SolveGoal<ValueType>(this->getModel(), checkTask), this->getModel().getTransitionMatrix(), this->getModel().getBackwardTransitions(), leftResult.getTruthValuesVector(), rightResult.getTruthValuesVector(), checkTask.isQualitativeSet(), checkTask.isProduceSchedulersSet(), checkTask.getHint());
std::unique_ptr<CheckResult> result(new ExplicitQuantitativeCheckResult<ValueType>(std::move(ret.values)));
if(checkTask.isShieldingTask()) {
auto shield = tempest::shields::createShield<ValueType>(std::make_shared<storm::models::sparse::Mdp<ValueType>>(this->getModel()), std::move(ret.choiceValues), checkTask.getShieldingExpression(), checkTask.getOptimizationDirection(), storm::storage::BitVector(this->getModel().getTransitionMatrix().getRowGroupCount(), true), storm::storage::BitVector(this->getModel().getTransitionMatrix().getRowGroupCount(), true));
result->asExplicitQuantitativeCheckResult<ValueType>().setShield(std::move(shield));
}
result->asExplicitQuantitativeCheckResult<ValueType>().setShield(std::move(shield));
}
if (checkTask.isProduceSchedulersSet() && ret.scheduler) {
result->asExplicitQuantitativeCheckResult<ValueType>().setScheduler(std::move(ret.scheduler));
}
@ -160,9 +188,9 @@ namespace storm {
std::unique_ptr<CheckResult> result(new ExplicitQuantitativeCheckResult<ValueType>(std::move(ret.values)));
if(checkTask.isShieldingTask()) {
auto shield = tempest::shields::createShield<ValueType>(std::make_shared<storm::models::sparse::Mdp<ValueType>>(this->getModel()), std::move(ret.choiceValues), checkTask.getShieldingExpression(), checkTask.getOptimizationDirection(),subResult.getTruthValuesVector(), storm::storage::BitVector(ret.maybeStates.size(), true));
result->asExplicitQuantitativeCheckResult<ValueType>().setShield(std::move(shield));
}
result->asExplicitQuantitativeCheckResult<ValueType>().setShield(std::move(shield));
}
if (checkTask.isProduceSchedulersSet() && ret.scheduler) {
result->asExplicitQuantitativeCheckResult<ValueType>().setScheduler(std::move(ret.scheduler));
}
@ -313,7 +341,7 @@ namespace storm {
if(checkTask.isShieldingTask()) {
storm::storage::BitVector allStatesBv = storm::storage::BitVector(this->getModel().getTransitionMatrix().getRowGroupCount(), true);
auto shield = tempest::shields::createQuantitativeShield<ValueType>(std::make_shared<storm::models::sparse::Mdp<ValueType>>(this->getModel()), helper.getChoiceValues(), checkTask.getShieldingExpression(), checkTask.getOptimizationDirection(), allStatesBv, allStatesBv);
result->asExplicitQuantitativeCheckResult<ValueType>().setShield(std::move(shield));
result->asExplicitQuantitativeCheckResult<ValueType>().setShield(std::move(shield));
} else if (checkTask.isProduceSchedulersSet()) {
result->asExplicitQuantitativeCheckResult<ValueType>().setScheduler(std::make_unique<storm::storage::Scheduler<ValueType>>(helper.extractScheduler()));
}
@ -326,7 +354,7 @@ namespace storm {
auto rewardModel = storm::utility::createFilteredRewardModel(this->getModel(), checkTask);
storm::modelchecker::helper::SparseNondeterministicInfiniteHorizonHelper<ValueType> helper(this->getModel().getTransitionMatrix());
storm::modelchecker::helper::setInformationFromCheckTaskNondeterministic(helper, checkTask, this->getModel());
auto values = helper.computeLongRunAverageRewards(env, rewardModel.get());
auto values = helper.computeLongRunAverageRewards(env, rewardModel.get());
std::unique_ptr<CheckResult> result(new ExplicitQuantitativeCheckResult<ValueType>(std::move(values)));
if (checkTask.isProduceSchedulersSet()) {
result->asExplicitQuantitativeCheckResult<ValueType>().setScheduler(std::make_unique<storm::storage::Scheduler<ValueType>>(helper.extractScheduler()));

13
src/storm/modelchecker/prctl/SparseMdpPrctlModelChecker.h
View File

@ -7,26 +7,27 @@
#include "storm/shields/AbstractShield.h"
namespace storm {
class Environment;
namespace modelchecker {
template<class SparseMdpModelType>
class SparseMdpPrctlModelChecker : public SparsePropositionalModelChecker<SparseMdpModelType> {
public:
typedef typename SparseMdpModelType::ValueType ValueType;
typedef typename SparseMdpModelType::RewardModelType RewardModelType;
explicit SparseMdpPrctlModelChecker(SparseMdpModelType const& model);
/*!
* Returns false, if this task can certainly not be handled by this model checker (independent of the concrete model).
* @param requiresSingleInitialState if not nullptr, this flag is set to true iff checking this formula requires a model with a single initial state
*/
static bool canHandleStatic(CheckTask<storm::logic::Formula, ValueType> const& checkTask, bool* requiresSingleInitialState = nullptr);
// The implemented methods of the AbstractModelChecker interface.
virtual bool canHandle(CheckTask<storm::logic::Formula, ValueType> const& checkTask) const override;
std::unique_ptr<CheckResult> computeBoundedGloballyProbabilities(Environment const& env, CheckTask<storm::logic::BoundedGloballyFormula, ValueType> const& checkTask);
virtual std::unique_ptr<CheckResult> computeBoundedUntilProbabilities(Environment const& env, CheckTask<storm::logic::BoundedUntilFormula, ValueType> const& checkTask) override;
virtual std::unique_ptr<CheckResult> computeNextProbabilities(Environment const& env, CheckTask<storm::logic::NextFormula, ValueType> const& checkTask) override;
virtual std::unique_ptr<CheckResult> computeUntilProbabilities(Environment const& env, CheckTask<storm::logic::UntilFormula, ValueType> const& checkTask) override;
@ -43,7 +44,7 @@ namespace storm {
virtual std::unique_ptr<CheckResult> computeHOAPathProbabilities(Environment const& env, CheckTask<storm::logic::HOAPathFormula, ValueType> const& checkTask) override;
virtual std::unique_ptr<CheckResult> checkMultiObjectiveFormula(Environment const& env, CheckTask<storm::logic::MultiObjectiveFormula, ValueType> const& checkTask) override;
virtual std::unique_ptr<CheckResult> checkQuantileFormula(Environment const& env, CheckTask<storm::logic::QuantileFormula, ValueType> const& checkTask) override;
};
} // namespace modelchecker
} // namespace storm

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