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9.1 KiB

#include "storm/modelchecker/rpatl/SparseSmgRpatlModelChecker.h"
#include <vector>
#include <memory>
#include "storm/utility/macros.h"
#include "storm/utility/FilteredRewardModel.h"
#include "storm/modelchecker/results/ExplicitQualitativeCheckResult.h"
#include "storm/modelchecker/results/ExplicitQuantitativeCheckResult.h"
#include "storm/modelchecker/results/ExplicitParetoCurveCheckResult.h"
#include "storm/modelchecker/helper/infinitehorizon/SparseNondeterministicGameInfiniteHorizonHelper.h"
#include "storm/modelchecker/helper/utility/SetInformationFromCheckTask.h"
#include "storm/logic/FragmentSpecification.h"
#include "storm/models/sparse/StandardRewardModel.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 SparseSmgModelType>
SparseSmgRpatlModelChecker<SparseSmgModelType>::SparseSmgRpatlModelChecker(SparseSmgModelType const& model) : SparsePropositionalModelChecker<SparseSmgModelType>(model) {
// 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 {
return false;
}
}
template<typename SparseSmgModelType>
bool SparseSmgRpatlModelChecker<SparseSmgModelType>::canHandle(CheckTask<storm::logic::Formula, ValueType> const& checkTask) const {
bool requiresSingleInitialState = false;
if (canHandleStatic(checkTask, &requiresSingleInitialState)) {
return !requiresSingleInitialState || this->getModel().getInitialStates().getNumberOfSetBits() == 1;
} else {
return false;
}
}
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
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()));
} else if (subFormula.isLongRunAverageOperatorFormula()) {
return this->checkLongRunAverageOperatorFormula(env, checkTask.substituteFormula(subFormula.asLongRunAverageOperatorFormula()));
}
STORM_LOG_THROW(false, storm::exceptions::NotImplementedException, "checkGameFormula NYI");
}
template<typename ModelType>
std::unique_ptr<CheckResult> SparseSmgRpatlModelChecker<ModelType>::checkRewardOperatorFormula(Environment const& env, CheckTask<storm::logic::RewardOperatorFormula, ValueType> const& checkTask) {
storm::logic::RewardOperatorFormula const& formula = checkTask.getFormula();
std::unique_ptr<CheckResult> result = this->computeRewards(env, formula.getMeasureType(), checkTask.substituteFormula(formula.getSubformula()));
return nullptr;
}
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.");
}
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 SparseSmgModelType>
std::unique_ptr<CheckResult> SparseSmgRpatlModelChecker<SparseSmgModelType>::computeLongRunAverageProbabilities(Environment const& env, CheckTask<storm::logic::StateFormula, ValueType> const& checkTask) {
STORM_LOG_THROW(false, storm::exceptions::NotImplementedException, "NYI");
}
template<typename SparseSmgModelType>
std::unique_ptr<CheckResult> SparseSmgRpatlModelChecker<SparseSmgModelType>::computeLongRunAverageRewards(Environment const& env, storm::logic::RewardMeasureType rewardMeasureType, CheckTask<storm::logic::LongRunAverageRewardFormula, ValueType> const& checkTask) {
auto rewardModel = storm::utility::createFilteredRewardModel(this->getModel(), checkTask);
storm::modelchecker::helper::SparseNondeterministicGameInfiniteHorizonHelper<ValueType> helper(this->getModel().getTransitionMatrix(), this->getModel().getPlayerActionIndices());
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");
template<typename SparseSmgModelType>
void SparseSmgRpatlModelChecker<SparseSmgModelType>::coalitionIndicator(Environment& env, CheckTask<storm::logic::GameFormula, ValueType> const& checkTask) {
storm::storage::BitVector coalitionIndicators(this->getModel().getTransitionMatrix().getRowGroupCount());
std::vector<boost::variant<std::string, uint_fast64_t>> formulaPlayerIds = checkTask.getFormula().getCoalition().getPlayerIds();
std::vector<uint_fast64_t> playerIds;
std::vector<std::pair<std::string, uint_fast64_t>> playerActionIndices = this->getModel().getPlayerActionIndices();
for(auto const& player : formulaPlayerIds) {
// If the player is given via the player name we have to look up its index
if(player.type() == typeid(std::string)) {
auto it = std::find_if(playerActionIndices.begin(), playerActionIndices.end(),
[&player](const std::pair<std::string, uint_fast64_t>& element){ return element.first == boost::get<std::string>(player); });
playerIds.push_back(it->second);
// If the player is given by its index we have to shift it to match internal mappings
} else if(player.type() == typeid(uint_fast64_t)) {
playerIds.push_back(boost::get<uint_fast64_t>(player) - 1);
}
}
for(uint i = 0; i < playerActionIndices.size(); i++) {
if(std::find(playerIds.begin(), playerIds.end(), playerActionIndices.at(i).second) != playerIds.end()) {
coalitionIndicators.set(i);
}
}
coalitionIndicators.complement();
env.solver().multiplier().setOptimizationDirectionOverride(coalitionIndicators);
}
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
}
}