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Transform formulas to deterministic-time as well

tempestpy_adaptions
Matthias Volk 6 years ago
parent
374071670a
commit
bcde728c3c
1 changed files with 53 additions and 27 deletions
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  1. 80
      src/storm-pars-cli/storm-pars.cpp

80
src/storm-pars-cli/storm-pars.cpp
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@ -45,6 +45,16 @@ namespace storm {
bool graphPreserving;
bool exact;
};
struct PreprocessResult {
PreprocessResult(std::shared_ptr<storm::models::ModelBase> const& model, bool changed) : changed(changed), model(model) {
// Intentionally left empty.
}
bool changed;
std::shared_ptr<storm::models::ModelBase> model;
boost::optional<std::vector<std::shared_ptr<storm::logic::Formula const>>> formulas;
};
template <typename ValueType>
std::vector<storm::storage::ParameterRegion<ValueType>> parseRegions(std::shared_ptr<storm::models::ModelBase> const& model) {
@ -127,72 +137,76 @@ namespace storm {
}
template <typename ValueType>
std::pair<std::shared_ptr<storm::models::ModelBase>, bool> preprocessSparseModel(std::shared_ptr<storm::models::sparse::Model<ValueType>> const& model, SymbolicInput const& input) {
PreprocessResult preprocessSparseModel(std::shared_ptr<storm::models::sparse::Model<ValueType>> const& model, SymbolicInput const& input) {
auto generalSettings = storm::settings::getModule<storm::settings::modules::GeneralSettings>();
auto bisimulationSettings = storm::settings::getModule<storm::settings::modules::BisimulationSettings>();
auto parametricSettings = storm::settings::getModule<storm::settings::modules::ParametricSettings>();
std::pair<std::shared_ptr<storm::models::ModelBase>, bool> result = std::make_pair(model, false);
PreprocessResult result(model, false);
if (result.first->isOfType(storm::models::ModelType::MarkovAutomaton)) {
result.first = storm::cli::preprocessSparseMarkovAutomaton(result.first->template as<storm::models::sparse::MarkovAutomaton<ValueType>>());
result.second = true;
if (result.model->isOfType(storm::models::ModelType::MarkovAutomaton)) {
result.model = storm::cli::preprocessSparseMarkovAutomaton(result.model->template as<storm::models::sparse::MarkovAutomaton<ValueType>>());
result.changed = true;
}
if (generalSettings.isBisimulationSet()) {
result.first = storm::cli::preprocessSparseModelBisimulation(result.first->template as<storm::models::sparse::Model<ValueType>>(), input, bisimulationSettings);
result.second = true;
result.model = storm::cli::preprocessSparseModelBisimulation(result.model->template as<storm::models::sparse::Model<ValueType>>(), input, bisimulationSettings);
result.changed = true;
}
if (parametricSettings.transformContinuousModel() && (result.first->isOfType(storm::models::ModelType::Ctmc) || result.first->isOfType(storm::models::ModelType::MarkovAutomaton))) {
result.first = storm::api::transformContinuousToDiscreteTimeSparseModel(std::move(*result.first->template as<storm::models::sparse::Model<ValueType>>()), storm::api::extractFormulasFromProperties(input.properties)).first;
result.second = true;
if (parametricSettings.transformContinuousModel() && (model->isOfType(storm::models::ModelType::Ctmc) || model->isOfType(storm::models::ModelType::MarkovAutomaton))) {
auto transformResult = storm::api::transformContinuousToDiscreteTimeSparseModel(std::move(*model->template as<storm::models::sparse::Model<ValueType>>()), storm::api::extractFormulasFromProperties(input.properties));
result.model = transformResult.first;
// Set transformed properties as new properties in input
result.formulas = transformResult.second;
result.changed = true;
}
return result;
}
template <storm::dd::DdType DdType, typename ValueType>
std::pair<std::shared_ptr<storm::models::ModelBase>, bool> preprocessDdModel(std::shared_ptr<storm::models::symbolic::Model<DdType, ValueType>> const& model, SymbolicInput const& input) {
PreprocessResult preprocessDdModel(std::shared_ptr<storm::models::symbolic::Model<DdType, ValueType>> const& model, SymbolicInput const& input) {
auto coreSettings = storm::settings::getModule<storm::settings::modules::CoreSettings>();
auto generalSettings = storm::settings::getModule<storm::settings::modules::GeneralSettings>();
auto bisimulationSettings = storm::settings::getModule<storm::settings::modules::BisimulationSettings>();
std::pair<std::shared_ptr<storm::models::ModelBase>, bool> result = std::make_pair(model, false);
PreprocessResult result(model, false);
if (coreSettings.getEngine() == storm::settings::modules::CoreSettings::Engine::Hybrid) {
// Currently, hybrid engine for parametric models just refers to building the model symbolically.
STORM_LOG_INFO("Translating symbolic model to sparse model...");
result.first = storm::api::transformSymbolicToSparseModel(model);
result.second = true;
result.model = storm::api::transformSymbolicToSparseModel(model);
result.changed = true;
// Invoke preprocessing on the sparse model
auto sparsePreprocessingResult = storm::pars::preprocessSparseModel<ValueType>(result.first->as<storm::models::sparse::Model<ValueType>>(), input);
if (sparsePreprocessingResult.second) {
result.first = sparsePreprocessingResult.first;
PreprocessResult sparsePreprocessingResult = storm::pars::preprocessSparseModel<ValueType>(result.model->as<storm::models::sparse::Model<ValueType>>(), input);
if (sparsePreprocessingResult.changed) {
result.model = sparsePreprocessingResult.model;
result.formulas = sparsePreprocessingResult.formulas;
}
} else {
STORM_LOG_ASSERT(coreSettings.getEngine() == storm::settings::modules::CoreSettings::Engine::Dd, "Expected Dd engine.");
if (generalSettings.isBisimulationSet()) {
result.first = storm::cli::preprocessDdModelBisimulation(result.first->template as<storm::models::symbolic::Model<DdType, ValueType>>(), input, bisimulationSettings);
result.second = true;
result.model = storm::cli::preprocessDdModelBisimulation(result.model->template as<storm::models::symbolic::Model<DdType, ValueType>>(), input, bisimulationSettings);
result.changed = true;
}
}
return result;
}
template <storm::dd::DdType DdType, typename ValueType>
std::pair<std::shared_ptr<storm::models::ModelBase>, bool> preprocessModel(std::shared_ptr<storm::models::ModelBase> const& model, SymbolicInput const& input) {
PreprocessResult preprocessModel(std::shared_ptr<storm::models::ModelBase> const& model, SymbolicInput const& input) {
storm::utility::Stopwatch preprocessingWatch(true);
std::pair<std::shared_ptr<storm::models::ModelBase>, bool> result = std::make_pair(model, false);
PreprocessResult result(model, false);
if (model->isSparseModel()) {
result = storm::pars::preprocessSparseModel<ValueType>(result.first->as<storm::models::sparse::Model<ValueType>>(), input);
result = storm::pars::preprocessSparseModel<ValueType>(result.model->as<storm::models::sparse::Model<ValueType>>(), input);
} else {
STORM_LOG_ASSERT(model->isSymbolicModel(), "Unexpected model type.");
result = storm::pars::preprocessDdModel<DdType, ValueType>(result.first->as<storm::models::symbolic::Model<DdType, ValueType>>(), input);
result = storm::pars::preprocessDdModel<DdType, ValueType>(result.model->as<storm::models::symbolic::Model<DdType, ValueType>>(), input);
}
if (result.second) {
if (result.changed) {
STORM_PRINT_AND_LOG(std::endl << "Time for model preprocessing: " << preprocessingWatch << "." << std::endl << std::endl);
}
return result;
@ -536,8 +550,20 @@ namespace storm {
if (model) {
auto preprocessingResult = storm::pars::preprocessModel<DdType, ValueType>(model, input);
if (preprocessingResult.second) {
model = preprocessingResult.first;
if (preprocessingResult.changed) {
model = preprocessingResult.model;
if (preprocessingResult.formulas) {
std::vector<storm::jani::Property> newProperties;
for (size_t i = 0; i < preprocessingResult.formulas.get().size(); ++i) {
auto formula = preprocessingResult.formulas.get().at(i);
STORM_LOG_ASSERT(i < input.properties.size(), "Index " << i << " greater than number of properties.");
storm::jani::Property property = input.properties.at(i);
newProperties.push_back(storm::jani::Property(property.getName(), formula, property.getUndefinedConstants(), property.getComment()));
}
input.properties = newProperties;
}
model->printModelInformationToStream(std::cout);
}
}

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