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added and finalized methods for rpatlMC

tempestpy_adaptions
Stefan Pranger 4 years ago
parent
f72f83f23e
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ea90c1ac7d
2 changed files with 47 additions and 32 deletions
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  1. 65
      src/storm/modelchecker/rpatl/SparseSmgRpatlModelChecker.cpp
  2. 14
      src/storm/modelchecker/rpatl/SparseSmgRpatlModelChecker.h

65
src/storm/modelchecker/rpatl/SparseSmgRpatlModelChecker.cpp
View File

@ -2,6 +2,8 @@
#include <vector>
#include <memory>
#include <algorithm>
#include <boost/variant/get.hpp>
#include "storm/utility/macros.h"
#include "storm/utility/FilteredRewardModel.h"
@ -14,6 +16,10 @@
#include "storm/modelchecker/helper/utility/SetInformationFromCheckTask.h"
#include "storm/logic/FragmentSpecification.h"
#include "storm/logic/Coalition.h"
#include "storm/storage/BitVector.h"
#include "storm/environment/solver/MultiplierEnvironment.h"
#include "storm/models/sparse/StandardRewardModel.h"
@ -30,10 +36,11 @@ namespace storm {
// Intentionally left empty.
}
template<typename SparseSmgModelType>
bool SparseSmgRpatlModelChecker<SparseSmgModelType>::canHandleStatic(CheckTask<storm::logic::Formula, ValueType> const& checkTask, bool* requiresSingleInitialState) {
storm::logic::Formula const& formula = checkTask.getFormula();
if (formula.isInFragment(storm::logic::rpatl().setCoalitionOperatorsAllowed(true).setRewardOperatorsAllowed(true).setLongRunAverageRewardFormulasAllowed(true).setLongRunAverageProbabilitiesAllowed(true).setLongRunAverageOperatorsAllowed(true))) {
return true;
} else {
@ -51,21 +58,22 @@ namespace storm {
}
}
template<typename SparseSmgModelType>
std::unique_ptr<CheckResult> SparseSmgRpatlModelChecker<SparseSmgModelType>::checkGameFormula(Environment const& env, CheckTask<storm::logic::GameFormula, ValueType> const& checkTask) {
STORM_LOG_DEBUG("checkGameFormula matrix: " << this->getModel().getTransitionMatrix().getDimensionsAsString());
STORM_LOG_DEBUG("checkGameFormula playerindices:");
STORM_LOG_DEBUG("checkGameFormula matrix: \n" << this->getModel().getTransitionMatrix());
// TODO set min max row groups w.r.t. coalition
Environment solverEnv = env;
coalitionIndicator(solverEnv, checkTask);
storm::logic::GameFormula const& gameFormula = checkTask.getFormula();
storm::logic::Formula const& subFormula = gameFormula.getSubformula();
STORM_LOG_DEBUG(gameFormula);
if (subFormula.isRewardOperatorFormula()) {
return this->checkRewardOperatorFormula(env, checkTask.substituteFormula(subFormula.asRewardOperatorFormula()));
return this->checkRewardOperatorFormula(solverEnv, checkTask.substituteFormula(subFormula.asRewardOperatorFormula()));
} else if (subFormula.isLongRunAverageOperatorFormula()) {
return this->checkLongRunAverageOperatorFormula(env, checkTask.substituteFormula(subFormula.asLongRunAverageOperatorFormula()));
return this->checkLongRunAverageOperatorFormula(solverEnv, checkTask.substituteFormula(subFormula.asLongRunAverageOperatorFormula()));
}
STORM_LOG_THROW(false, storm::exceptions::NotImplementedException, "checkGameFormula NYI");
STORM_LOG_THROW(false, storm::exceptions::NotImplementedException, "Cannot check this property (yet).");
}
template<typename ModelType>
@ -73,26 +81,26 @@ namespace storm {
storm::logic::RewardOperatorFormula const& formula = checkTask.getFormula();
std::unique_ptr<CheckResult> result = this->computeRewards(env, formula.getMeasureType(), checkTask.substituteFormula(formula.getSubformula()));
return nullptr;
return result;
}
template<typename ModelType>
std::unique_ptr<CheckResult> AbstractModelChecker<ModelType>::computeRewards(Environment const& env, storm::logic::RewardMeasureType rewardMeasureType, CheckTask<storm::logic::Formula, ValueType> const& checkTask) {
storm::logic::Formula const& rewardFormula = checkTask.getFormula();
if (rewardFormula.isLongRunAverageRewardFormula()) {
return this->computeLongRunAverageRewards(env, rewardMeasureType, checkTask.substituteFormula(rewardFormula.asLongRunAverageRewardFormula()));
}
STORM_LOG_THROW(false, storm::exceptions::InvalidArgumentException, "The given formula '" << rewardFormula << "' is invalid.");
std::unique_ptr<CheckResult> SparseSmgRpatlModelChecker<ModelType>::checkLongRunAverageOperatorFormula(Environment const& env, CheckTask<storm::logic::LongRunAverageOperatorFormula, ValueType> const& checkTask) {
storm::logic::LongRunAverageOperatorFormula const& formula = checkTask.getFormula();
std::unique_ptr<CheckResult> result = this->computeLongRunAverageProbabilities(env, checkTask.substituteFormula(formula.getSubformula().asStateFormula()));
return result;
}
template<typename ModelType>
std::unique_ptr<CheckResult> AbstractModelChecker<ModelType>::checkLongRunAverageOperatorFormula(Environment const& env, CheckTask<storm::logic::LongRunAverageOperatorFormula, ValueType> const& checkTask) {
storm::logic::LongRunAverageOperatorFormula const& formula = checkTask.getFormula();
//STORM_LOG_THROW(formula.getSubformula().isStateFormula(), storm::exceptions::InvalidArgumentException, "The given formula is invalid.");
std::unique_ptr<CheckResult> result = this->computeLongRunAverageProbabilities(env, checkTask.substituteFormula(formula.getSubformula().asStateFormula()));
return result; //TODO check bounds.
template<typename ModelType>
std::unique_ptr<CheckResult> SparseSmgRpatlModelChecker<ModelType>::computeRewards(Environment const& env, storm::logic::RewardMeasureType rewardMeasureType, CheckTask<storm::logic::Formula, ValueType> const& checkTask) {
storm::logic::Formula const& rewardFormula = checkTask.getFormula();
if (rewardFormula.isLongRunAverageRewardFormula()) {
return this->computeLongRunAverageRewards(env, rewardMeasureType, checkTask.substituteFormula(rewardFormula.asLongRunAverageRewardFormula()));
}
STORM_LOG_THROW(false, storm::exceptions::InvalidArgumentException, "The given formula '" << rewardFormula << "' cannot (yet) be handled.");
}
template<typename SparseSmgModelType>
@ -107,9 +115,15 @@ namespace storm {
storm::modelchecker::helper::setInformationFromCheckTaskNondeterministic(helper, checkTask, this->getModel());
auto values = helper.computeLongRunAverageRewards(env, rewardModel.get());
//std::unique_ptr<CheckResult> result(new ExplicitQuantitativeCheckResult<ValueType>(std::move(values));
//return result;
STORM_LOG_THROW(false, storm::exceptions::NotImplementedException, "NYI");
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()));
}
return result;
}
template<typename SparseSmgModelType>
void SparseSmgRpatlModelChecker<SparseSmgModelType>::coalitionIndicator(Environment& env, CheckTask<storm::logic::GameFormula, ValueType> const& checkTask) {
storm::storage::BitVector coalitionIndicators(this->getModel().getTransitionMatrix().getRowGroupCount());
@ -143,7 +157,6 @@ namespace storm {
template class SparseSmgRpatlModelChecker<storm::models::sparse::Smg<double>>;
#ifdef STORM_HAVE_CARL
template class SparseSmgRpatlModelChecker<storm::models::sparse::Smg<storm::RationalNumber>>;
//template class SparseSmgRpatlModelChecker<storm::models::sparse::Smg<storm::RationalFunction>>; TODO are we going to need this?
#endif
}
}

14
src/storm/modelchecker/rpatl/SparseSmgRpatlModelChecker.h
View File

@ -25,12 +25,14 @@ namespace storm {
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;
virtual std::unique_ptr<CheckResult> checkGameFormula(Environment const& env, CheckTask<storm::logic::GameFormula, ValueType> const& checkTask) override;
virtual std::unique_ptr<CheckResult> checkRewardOperatorFormula(Environment const& env, CheckTask<storm::logic::RewardOperatorFormula, ValueType> const& checkTask) override;
virtual std::unique_ptr<CheckResult> computeLongRunAverageProbabilities(Environment const& env, CheckTask<storm::logic::StateFormula, ValueType> const& checkTask) override;
virtual std::unique_ptr<CheckResult> computeLongRunAverageRewards(Environment const& env, storm::logic::RewardMeasureType rewardMeasureType, CheckTask<storm::logic::LongRunAverageRewardFormula, ValueType> const& checkTask) override;
bool canHandle(CheckTask<storm::logic::Formula, ValueType> const& checkTask) const override;
std::unique_ptr<CheckResult> checkGameFormula(Environment const& env, CheckTask<storm::logic::GameFormula, ValueType> const& checkTask) override;
std::unique_ptr<CheckResult> checkRewardOperatorFormula(Environment const& env, CheckTask<storm::logic::RewardOperatorFormula, ValueType> const& checkTask) override;
std::unique_ptr<CheckResult> checkLongRunAverageOperatorFormula(Environment const& env, CheckTask<storm::logic::LongRunAverageOperatorFormula, ValueType> const& checkTask) override;
std::unique_ptr<CheckResult> computeRewards(Environment const& env, storm::logic::RewardMeasureType rewardMeasureType, CheckTask<storm::logic::Formula, ValueType> const& checkTask) override;
std::unique_ptr<CheckResult> computeLongRunAverageProbabilities(Environment const& env, CheckTask<storm::logic::StateFormula, ValueType> const& checkTask) override;
std::unique_ptr<CheckResult> computeLongRunAverageRewards(Environment const& env, storm::logic::RewardMeasureType rewardMeasureType, CheckTask<storm::logic::LongRunAverageRewardFormula, ValueType> const& checkTask) override;
void coalitionIndicator(Environment& env, CheckTask<storm::logic::GameFormula, ValueType> const& checkTask);
};

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