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Merge pull request 'Adapt Property Ctors with ShieldingExpression Parameter' (#44) from storm_prs_and_updates into main

Reviewed-on: https://git.pranger.xyz/TEMPEST/tempest-devel/pulls/44
tempestpy_adaptions
Stefan Pranger 3 years ago
parent
commit
f4fb0188be
  1. 10
      src/storm-gspn/builder/JaniGSPNBuilder.cpp
  2. 14
      src/storm-pars-cli/storm-pars.cpp

10
src/storm-gspn/builder/JaniGSPNBuilder.cpp

@ -139,7 +139,7 @@ namespace storm {
continue;
}
storm::expressions::Expression guard = expressionManager->boolean(true);
std::vector<storm::jani::Assignment> assignments;
for (auto const& inPlaceEntry : trans.getInputPlaces()) {
guard = guard && (vars[inPlaceEntry.first]->getExpressionVariable() >= inPlaceEntry.second);
@ -160,7 +160,7 @@ namespace storm {
std::shared_ptr<storm::jani::TemplateEdge> templateEdge = std::make_shared<storm::jani::TemplateEdge>(guard);
automaton.registerTemplateEdge(templateEdge);
storm::expressions::Expression rate = expressionManager->rational(trans.getRate());
if (trans.hasInfiniteServerSemantics() || (trans.hasKServerSemantics() && !trans.hasSingleServerSemantics())) {
STORM_LOG_THROW(trans.hasKServerSemantics() || !trans.getInputPlaces().empty(), storm::exceptions::InvalidModelException, "Unclear semantics: Found a transition with infinite-server semantics and without input place.");
@ -281,7 +281,7 @@ namespace storm {
auto reachFormula = std::make_shared<storm::logic::ProbabilityOperatorFormula>(
std::make_shared<storm::logic::EventuallyFormula>(atomicFormula, storm::logic::FormulaContext::Probability),
storm::logic::OperatorInformation(optimizationDirection));
standardProperties.emplace_back(dirShort + "PrReach" + name, reachFormula, emptySet, "The " + dirLong + " probability to eventually reach " + description + ".");
standardProperties.emplace_back(dirShort + "PrReach" + name, reachFormula, emptySet, nullptr, "The " + dirLong + " probability to eventually reach " + description + ".");
// Build time bounded reachability property
// Add variable for time bound
@ -295,7 +295,7 @@ namespace storm {
auto reachTimeBoundFormula = std::make_shared<storm::logic::ProbabilityOperatorFormula>(
std::make_shared<storm::logic::BoundedUntilFormula>(trueFormula, atomicFormula, boost::none, tb, tbr),
storm::logic::OperatorInformation(optimizationDirection));
standardProperties.emplace_back(dirShort + "PrReach" + name + "TB", reachTimeBoundFormula, emptySet, "The " + dirLong + " probability to reach " + description + " within 'TIME_BOUND' steps.");
standardProperties.emplace_back(dirShort + "PrReach" + name + "TB", reachTimeBoundFormula, emptySet, nullptr, "The " + dirLong + " probability to reach " + description + " within 'TIME_BOUND' steps.");
// Use complementary direction for expected time
dirShort = maximal ? "Min" : "Max";
@ -306,7 +306,7 @@ namespace storm {
auto expTimeFormula = std::make_shared<storm::logic::TimeOperatorFormula>(
std::make_shared<storm::logic::EventuallyFormula>(atomicFormula, storm::logic::FormulaContext::Time),
storm::logic::OperatorInformation(optimizationDirection));
standardProperties.emplace_back(dirShort + "ExpTime" + name, expTimeFormula, emptySet, "The " + dirLong + " expected time to reach " + description + ".");
standardProperties.emplace_back(dirShort + "ExpTime" + name, expTimeFormula, emptySet, nullptr, "The " + dirLong + " expected time to reach " + description + ".");
return standardProperties;
}

14
src/storm-pars-cli/storm-pars.cpp

@ -280,7 +280,7 @@ namespace storm {
result.model = storm::pars::simplifyModel<ValueType>(result.model, input);
result.changed = 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;
@ -302,7 +302,7 @@ namespace storm {
result.formulas = eliminationResult.second;
result.changed = 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;
@ -322,7 +322,7 @@ namespace storm {
template <storm::dd::DdType DdType, typename ValueType>
PreprocessResult preprocessDdModel(std::shared_ptr<storm::models::symbolic::Model<DdType, ValueType>> const& model, SymbolicInput const& input, storm::cli::ModelProcessingInformation const& mpi) {
auto bisimulationSettings = storm::settings::getModule<storm::settings::modules::BisimulationSettings>();
PreprocessResult result(model, false);
if (mpi.engine == storm::utility::Engine::Hybrid) {
@ -668,7 +668,7 @@ namespace storm {
}
}
}
template <typename ValueType>
void verifyRegionsWithSparseEngine(std::shared_ptr<storm::models::sparse::Model<ValueType>> const& model, SymbolicInput const& input, std::vector<storm::storage::ParameterRegion<ValueType>> const& regions, storm::api::MonotonicitySetting monotonicitySettings = storm::api::MonotonicitySetting(), uint64_t monThresh = 0) {
STORM_LOG_ASSERT(!regions.empty(), "Can not analyze an empty set of regions.");
@ -822,7 +822,7 @@ namespace storm {
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()));
newProperties.push_back(storm::jani::Property(property.getName(), formula, property.getUndefinedConstants(), nullptr, property.getComment()));
}
input.properties = newProperties;
}
@ -870,11 +870,11 @@ namespace storm {
void processOptions() {
// Start by setting some urgent options (log levels, resources, etc.)
storm::cli::setUrgentOptions();
auto coreSettings = storm::settings::getModule<storm::settings::modules::CoreSettings>();
auto engine = coreSettings.getEngine();
STORM_LOG_WARN_COND(engine != storm::utility::Engine::Dd || engine != storm::utility::Engine::Hybrid || coreSettings.getDdLibraryType() == storm::dd::DdType::Sylvan, "The selected DD library does not support parametric models. Switching to Sylvan...");
// Parse and preprocess symbolic input (PRISM, JANI, properties, etc.)
auto symbolicInput = storm::cli::parseSymbolicInput();
storm::cli::ModelProcessingInformation mpi;

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