tempest/src/storm/modelchecker/prctl/SymbolicMdpPrctlModelChecker.cpp

#include "storm/modelchecker/prctl/SymbolicMdpPrctlModelChecker.h"

#include "storm/modelchecker/prctl/helper/SymbolicMdpPrctlHelper.h"

#include "storm/modelchecker/results/SymbolicQualitativeCheckResult.h"
#include "storm/modelchecker/results/SymbolicQuantitativeCheckResult.h"

#include "storm/logic/FragmentSpecification.h"

#include "storm/models/symbolic/StandardRewardModel.h"

#include "storm/utility/macros.h"
#include "storm/utility/graph.h"
#include "storm/utility/FilteredRewardModel.h"

#include "storm/settings/modules/GeneralSettings.h"

#include "storm/exceptions/InvalidStateException.h"
#include "storm/exceptions/InvalidPropertyException.h"

#include "storm/exceptions/InvalidArgumentException.h"

namespace storm {
    namespace modelchecker {
        
        template<typename ModelType>
        SymbolicMdpPrctlModelChecker<ModelType>::SymbolicMdpPrctlModelChecker(ModelType const& model) : SymbolicPropositionalModelChecker<ModelType>(model) {
            // Intentionally left empty.
        }
        
        template<typename ModelType>
        bool SymbolicMdpPrctlModelChecker<ModelType>::canHandleStatic(CheckTask<storm::logic::Formula, ValueType> const& checkTask) {
            storm::logic::Formula const& formula = checkTask.getFormula();
            return formula.isInFragment(storm::logic::prctl().setLongRunAverageRewardFormulasAllowed(false).setTimeOperatorsAllowed(true).setReachbilityTimeFormulasAllowed(true).setRewardAccumulationAllowed(true));
        }
        
        template<typename ModelType>
        bool SymbolicMdpPrctlModelChecker<ModelType>::canHandle(CheckTask<storm::logic::Formula, ValueType> const& checkTask) const {
            return canHandleStatic(checkTask);
        }
        
        template<typename ModelType>
        std::unique_ptr<CheckResult> SymbolicMdpPrctlModelChecker<ModelType>::computeUntilProbabilities(Environment const& env, CheckTask<storm::logic::UntilFormula, ValueType> const& checkTask) {
            storm::logic::UntilFormula 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.");
            std::unique_ptr<CheckResult> leftResultPointer = this->check(env, pathFormula.getLeftSubformula());
            std::unique_ptr<CheckResult> rightResultPointer = this->check(env, pathFormula.getRightSubformula());
            SymbolicQualitativeCheckResult<DdType> const& leftResult = leftResultPointer->asSymbolicQualitativeCheckResult<DdType>();
            SymbolicQualitativeCheckResult<DdType> const& rightResult = rightResultPointer->asSymbolicQualitativeCheckResult<DdType>();
            return storm::modelchecker::helper::SymbolicMdpPrctlHelper<DdType, ValueType>::computeUntilProbabilities(env, checkTask.getOptimizationDirection(), this->getModel(), this->getModel().getTransitionMatrix(), leftResult.getTruthValuesVector(), rightResult.getTruthValuesVector(), checkTask.isQualitativeSet());
        }
        
        template<typename ModelType>
        std::unique_ptr<CheckResult> SymbolicMdpPrctlModelChecker<ModelType>::computeGloballyProbabilities(Environment const& env, CheckTask<storm::logic::GloballyFormula, ValueType> const& checkTask) {
            storm::logic::GloballyFormula const& pathFormula = checkTask.getFormula();
            STORM_LOG_THROW(checkTask.isOptimizationDirectionSet(), storm::exceptions::InvalidArgumentException, "Formula needs to specify whether minimal or maximal values are to be computed on nondeterministic model.");
            std::unique_ptr<CheckResult> subResultPointer = this->check(env, pathFormula.getSubformula());
            SymbolicQualitativeCheckResult<DdType> const& subResult = subResultPointer->asSymbolicQualitativeCheckResult<DdType>();
            return storm::modelchecker::helper::SymbolicMdpPrctlHelper<DdType, ValueType>::computeGloballyProbabilities(env, checkTask.getOptimizationDirection(), this->getModel(), this->getModel().getTransitionMatrix(), subResult.getTruthValuesVector(), checkTask.isQualitativeSet());
        }
        
        template<typename ModelType>
        std::unique_ptr<CheckResult> SymbolicMdpPrctlModelChecker<ModelType>::computeNextProbabilities(Environment const& env, CheckTask<storm::logic::NextFormula, ValueType> const& checkTask) {
            storm::logic::NextFormula 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.");
            std::unique_ptr<CheckResult> subResultPointer = this->check(env, pathFormula.getSubformula());
            SymbolicQualitativeCheckResult<DdType> const& subResult = subResultPointer->asSymbolicQualitativeCheckResult<DdType>();
            return storm::modelchecker::helper::SymbolicMdpPrctlHelper<DdType, ValueType>::computeNextProbabilities(env, checkTask.getOptimizationDirection(), this->getModel(), this->getModel().getTransitionMatrix(), subResult.getTruthValuesVector());
        }
        
        template<typename ModelType>
        std::unique_ptr<CheckResult> SymbolicMdpPrctlModelChecker<ModelType>::computeBoundedUntilProbabilities(Environment const& env, CheckTask<storm::logic::BoundedUntilFormula, ValueType> const& checkTask) {
            storm::logic::BoundedUntilFormula const& pathFormula = checkTask.getFormula();
            STORM_LOG_THROW(checkTask.isOptimizationDirectionSet(), storm::exceptions::InvalidArgumentException, "Formula needs to specify whether minimal or maximal values are to be computed on nondeterministic model.");
            STORM_LOG_THROW(!pathFormula.hasLowerBound() && pathFormula.hasUpperBound(), storm::exceptions::InvalidPropertyException, "Formula needs to have single upper time bound.");
            STORM_LOG_THROW(pathFormula.hasIntegerUpperBound(), storm::exceptions::InvalidPropertyException, "Formula needs to have discrete upper time bound.");
            std::unique_ptr<CheckResult> leftResultPointer = this->check(env, pathFormula.getLeftSubformula());
            std::unique_ptr<CheckResult> rightResultPointer = this->check(env, pathFormula.getRightSubformula());
            SymbolicQualitativeCheckResult<DdType> const& leftResult = leftResultPointer->asSymbolicQualitativeCheckResult<DdType>();
            SymbolicQualitativeCheckResult<DdType> const& rightResult = rightResultPointer->asSymbolicQualitativeCheckResult<DdType>();
            return storm::modelchecker::helper::SymbolicMdpPrctlHelper<DdType, ValueType>::computeBoundedUntilProbabilities(env, checkTask.getOptimizationDirection(), this->getModel(), this->getModel().getTransitionMatrix(), leftResult.getTruthValuesVector(), rightResult.getTruthValuesVector(), pathFormula.getNonStrictUpperBound<uint64_t>());
        }
        
        template<typename ModelType>
        std::unique_ptr<CheckResult> SymbolicMdpPrctlModelChecker<ModelType>::computeCumulativeRewards(Environment const& env, storm::logic::RewardMeasureType, CheckTask<storm::logic::CumulativeRewardFormula, ValueType> const& checkTask) {
            storm::logic::CumulativeRewardFormula const& rewardPathFormula = checkTask.getFormula();
            STORM_LOG_THROW(checkTask.isOptimizationDirectionSet(), storm::exceptions::InvalidArgumentException, "Formula needs to specify whether minimal or maximal values are to be computed on nondeterministic model.");
            STORM_LOG_THROW(rewardPathFormula.hasIntegerBound(), storm::exceptions::InvalidPropertyException, "Formula needs to have a discrete time bound.");
            auto rewardModel = storm::utility::createFilteredRewardModel(this->getModel(), checkTask);
            return storm::modelchecker::helper::SymbolicMdpPrctlHelper<DdType, ValueType>::computeCumulativeRewards(env, checkTask.getOptimizationDirection(), this->getModel(), this->getModel().getTransitionMatrix(), rewardModel.get(), rewardPathFormula.getNonStrictBound<uint64_t>());
        }
        
        template<typename ModelType>
        std::unique_ptr<CheckResult> SymbolicMdpPrctlModelChecker<ModelType>::computeInstantaneousRewards(Environment const& env, storm::logic::RewardMeasureType, CheckTask<storm::logic::InstantaneousRewardFormula, ValueType> const& checkTask) {
            storm::logic::InstantaneousRewardFormula const& rewardPathFormula = checkTask.getFormula();
            STORM_LOG_THROW(checkTask.isOptimizationDirectionSet(), storm::exceptions::InvalidArgumentException, "Formula needs to specify whether minimal or maximal values are to be computed on nondeterministic model.");
            STORM_LOG_THROW(rewardPathFormula.hasIntegerBound(), storm::exceptions::InvalidPropertyException, "Formula needs to have a discrete time bound.");
            return storm::modelchecker::helper::SymbolicMdpPrctlHelper<DdType, ValueType>::computeInstantaneousRewards(env, checkTask.getOptimizationDirection(), this->getModel(), this->getModel().getTransitionMatrix(), checkTask.isRewardModelSet() ? this->getModel().getRewardModel(checkTask.getRewardModel()) : this->getModel().getRewardModel(""), rewardPathFormula.getBound<uint64_t>());
        }
        
        template<typename ModelType>
        std::unique_ptr<CheckResult> SymbolicMdpPrctlModelChecker<ModelType>::computeReachabilityRewards(Environment const& env, storm::logic::RewardMeasureType, CheckTask<storm::logic::EventuallyFormula, ValueType> const& checkTask) {
            storm::logic::EventuallyFormula const& eventuallyFormula = 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.");
            std::unique_ptr<CheckResult> subResultPointer = this->check(env, eventuallyFormula.getSubformula());
            SymbolicQualitativeCheckResult<DdType> const& subResult = subResultPointer->asSymbolicQualitativeCheckResult<DdType>();
            auto rewardModel = storm::utility::createFilteredRewardModel(this->getModel(), checkTask);
            return storm::modelchecker::helper::SymbolicMdpPrctlHelper<DdType, ValueType>::computeReachabilityRewards(env, checkTask.getOptimizationDirection(), this->getModel(), this->getModel().getTransitionMatrix(), rewardModel.get(), subResult.getTruthValuesVector());
        }
        
        template<typename ModelType>
        std::unique_ptr<CheckResult> SymbolicMdpPrctlModelChecker<ModelType>::computeReachabilityTimes(Environment const& env, storm::logic::RewardMeasureType, CheckTask<storm::logic::EventuallyFormula, ValueType> const& checkTask) {
            storm::logic::EventuallyFormula const& eventuallyFormula = 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.");
            std::unique_ptr<CheckResult> subResultPointer = this->check(env, eventuallyFormula.getSubformula());
            SymbolicQualitativeCheckResult<DdType> const& subResult = subResultPointer->asSymbolicQualitativeCheckResult<DdType>();
            return storm::modelchecker::helper::SymbolicMdpPrctlHelper<DdType, ValueType>::computeReachabilityTimes(env, checkTask.getOptimizationDirection(), this->getModel(), this->getModel().getTransitionMatrix(), subResult.getTruthValuesVector());
        }

        template class SymbolicMdpPrctlModelChecker<storm::models::symbolic::Mdp<storm::dd::DdType::CUDD, double>>;
        template class SymbolicMdpPrctlModelChecker<storm::models::symbolic::Mdp<storm::dd::DdType::Sylvan, double>>;

        template class SymbolicMdpPrctlModelChecker<storm::models::symbolic::Mdp<storm::dd::DdType::Sylvan, storm::RationalNumber>>;
    }
}