Sebastian Junges
7 years ago
2 changed files with 640 additions and 608 deletions
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#pragma once |
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#include "storm/api/storm.h" |
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#include "storm/utility/resources.h" |
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#include "storm/utility/file.h" |
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#include "storm/utility/storm-version.h" |
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#include "storm/utility/macros.h" |
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#include "storm/utility/initialize.h" |
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#include "storm/utility/Stopwatch.h" |
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#include <type_traits> |
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#include "storm/storage/SymbolicModelDescription.h" |
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#include "storm/models/ModelBase.h" |
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#include "storm/exceptions/OptionParserException.h" |
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#include "storm/modelchecker/results/SymbolicQualitativeCheckResult.h" |
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#include "storm/models/sparse/StandardRewardModel.h" |
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#include "storm/models/symbolic/StandardRewardModel.h" |
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#include "storm/settings/SettingsManager.h" |
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#include "storm/settings/modules/ResourceSettings.h" |
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#include "storm/settings/modules/JitBuilderSettings.h" |
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#include "storm/settings/modules/DebugSettings.h" |
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#include "storm/settings/modules/IOSettings.h" |
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#include "storm/settings/modules/CoreSettings.h" |
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#include "storm/settings/modules/ResourceSettings.h" |
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#include "storm/settings/modules/JaniExportSettings.h" |
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#include "storm/utility/Stopwatch.h" |
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namespace storm { |
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namespace cli { |
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struct SymbolicInput { |
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// The symbolic model description. |
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boost::optional<storm::storage::SymbolicModelDescription> model; |
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// The properties to check. |
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std::vector<storm::jani::Property> properties; |
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}; |
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void parseSymbolicModelDescription(storm::settings::modules::IOSettings const& ioSettings, SymbolicInput& input) { |
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if (ioSettings.isPrismOrJaniInputSet()) { |
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if (ioSettings.isPrismInputSet()) { |
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input.model = storm::api::parseProgram(ioSettings.getPrismInputFilename()); |
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} else { |
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auto janiInput = storm::api::parseJaniModel(ioSettings.getJaniInputFilename()); |
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input.model = janiInput.first; |
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auto const& janiPropertyInput = janiInput.second; |
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if (ioSettings.isJaniPropertiesSet()) { |
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for (auto const& propName : ioSettings.getJaniProperties()) { |
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auto propertyIt = janiPropertyInput.find(propName); |
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STORM_LOG_THROW(propertyIt != janiPropertyInput.end(), storm::exceptions::InvalidArgumentException, "No JANI property with name '" << propName << "' is known."); |
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input.properties.emplace_back(propertyIt->second); |
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} |
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} |
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} |
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} |
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} |
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void parseProperties(storm::settings::modules::IOSettings const& ioSettings, SymbolicInput& input, boost::optional<std::set<std::string>> const& propertyFilter) { |
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if (ioSettings.isPropertySet()) { |
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std::vector<storm::jani::Property> newProperties; |
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if (input.model) { |
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newProperties = storm::api::parsePropertiesForSymbolicModelDescription(ioSettings.getProperty(), input.model.get(), propertyFilter); |
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} else { |
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newProperties = storm::api::parseProperties(ioSettings.getProperty(), propertyFilter); |
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} |
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input.properties.insert(input.properties.end(), newProperties.begin(), newProperties.end()); |
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} |
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} |
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SymbolicInput parseSymbolicInput() { |
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auto ioSettings = storm::settings::getModule<storm::settings::modules::IOSettings>(); |
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// Parse the property filter, if any is given. |
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boost::optional<std::set<std::string>> propertyFilter = storm::api::parsePropertyFilter(ioSettings.getPropertyFilter()); |
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SymbolicInput input; |
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parseSymbolicModelDescription(ioSettings, input); |
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parseProperties(ioSettings, input, propertyFilter); |
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return input; |
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} |
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SymbolicInput preprocessSymbolicInput(SymbolicInput const& input) { |
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auto ioSettings = storm::settings::getModule<storm::settings::modules::IOSettings>(); |
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auto coreSettings = storm::settings::getModule<storm::settings::modules::CoreSettings>(); |
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SymbolicInput output = input; |
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// Substitute constant definitions in symbolic input. |
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std::string constantDefinitionString = ioSettings.getConstantDefinitionString(); |
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std::map<storm::expressions::Variable, storm::expressions::Expression> constantDefinitions; |
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if (output.model) { |
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constantDefinitions = output.model.get().parseConstantDefinitions(constantDefinitionString); |
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output.model = output.model.get().preprocess(constantDefinitions); |
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} |
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if (!output.properties.empty()) { |
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output.properties = storm::api::substituteConstantsInProperties(output.properties, constantDefinitions); |
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} |
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// Check whether conversion for PRISM to JANI is requested or necessary. |
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if (input.model && input.model.get().isPrismProgram()) { |
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bool transformToJani = ioSettings.isPrismToJaniSet(); |
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bool transformToJaniForJit = coreSettings.getEngine() == storm::settings::modules::CoreSettings::Engine::Sparse && ioSettings.isJitSet(); |
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STORM_LOG_WARN_COND(transformToJani || !transformToJaniForJit, "The JIT-based model builder is only available for JANI models, automatically converting the PRISM input model."); |
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transformToJani |= transformToJaniForJit; |
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if (transformToJani) { |
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storm::prism::Program const& model = output.model.get().asPrismProgram(); |
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auto modelAndRenaming = model.toJaniWithLabelRenaming(true); |
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output.model = modelAndRenaming.first; |
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if (!modelAndRenaming.second.empty()) { |
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std::map<std::string, std::string> const& labelRenaming = modelAndRenaming.second; |
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std::vector<storm::jani::Property> amendedProperties; |
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for (auto const& property : output.properties) { |
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amendedProperties.emplace_back(property.substituteLabels(labelRenaming)); |
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} |
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output.properties = std::move(amendedProperties); |
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} |
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} |
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} |
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return output; |
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} |
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void exportSymbolicInput(SymbolicInput const& input) { |
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auto ioSettings = storm::settings::getModule<storm::settings::modules::IOSettings>(); |
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if (input.model && input.model.get().isJaniModel()) { |
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storm::storage::SymbolicModelDescription const& model = input.model.get(); |
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if (ioSettings.isExportJaniDotSet()) { |
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storm::api::exportJaniModelAsDot(model.asJaniModel(), ioSettings.getExportJaniDotFilename()); |
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} |
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if (model.isJaniModel() && storm::settings::getModule<storm::settings::modules::JaniExportSettings>().isJaniFileSet()) { |
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storm::api::exportJaniModel(model.asJaniModel(), input.properties, storm::settings::getModule<storm::settings::modules::JaniExportSettings>().getJaniFilename()); |
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} |
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} |
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} |
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SymbolicInput parseAndPreprocessSymbolicInput() { |
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SymbolicInput input = parseSymbolicInput(); |
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input = preprocessSymbolicInput(input); |
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exportSymbolicInput(input); |
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return input; |
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} |
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std::vector<std::shared_ptr<storm::logic::Formula const>> createFormulasToRespect(std::vector<storm::jani::Property> const& properties) { |
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std::vector<std::shared_ptr<storm::logic::Formula const>> result = storm::api::extractFormulasFromProperties(properties); |
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for (auto const& property : properties) { |
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if (!property.getFilter().getStatesFormula()->isInitialFormula()) { |
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result.push_back(property.getFilter().getStatesFormula()); |
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} |
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} |
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return result; |
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} |
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template <storm::dd::DdType DdType, typename ValueType> |
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std::shared_ptr<storm::models::ModelBase> buildModelDd(SymbolicInput const& input) { |
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return storm::api::buildSymbolicModel<DdType, ValueType>(input.model.get(), createFormulasToRespect(input.properties)); |
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} |
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template <typename ValueType> |
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std::shared_ptr<storm::models::ModelBase> buildModelSparse(SymbolicInput const& input, storm::settings::modules::IOSettings const& ioSettings) { |
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auto counterexampleGeneratorSettings = storm::settings::getModule<storm::settings::modules::CounterexampleGeneratorSettings>(); |
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storm::builder::BuilderOptions options(createFormulasToRespect(input.properties)); |
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options.setBuildChoiceLabels(ioSettings.isBuildChoiceLabelsSet()); |
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options.setBuildChoiceOrigins(counterexampleGeneratorSettings.isMinimalCommandSetGenerationSet()); |
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options.setBuildAllLabels(ioSettings.isBuildFullModelSet()); |
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options.setBuildAllRewardModels(ioSettings.isBuildFullModelSet()); |
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if (ioSettings.isBuildFullModelSet()) { |
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options.clearTerminalStates(); |
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} |
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return storm::api::buildSparseModel<ValueType>(input.model.get(), options, ioSettings.isJitSet(), storm::settings::getModule<storm::settings::modules::JitBuilderSettings>().isDoctorSet()); |
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} |
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template <typename ValueType> |
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std::shared_ptr<storm::models::ModelBase> buildModelExplicit(storm::settings::modules::IOSettings const& ioSettings) { |
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std::shared_ptr<storm::models::ModelBase> result; |
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if (ioSettings.isExplicitSet()) { |
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result = storm::api::buildExplicitModel<ValueType>(ioSettings.getTransitionFilename(), ioSettings.getLabelingFilename(), ioSettings.isStateRewardsSet() ? boost::optional<std::string>(ioSettings.getStateRewardsFilename()) : boost::none, ioSettings.isTransitionRewardsSet() ? boost::optional<std::string>(ioSettings.getTransitionRewardsFilename()) : boost::none, ioSettings.isChoiceLabelingSet() ? boost::optional<std::string>(ioSettings.getChoiceLabelingFilename()) : boost::none); |
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} else if (ioSettings.isExplicitDRNSet()) { |
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result = storm::api::buildExplicitDRNModel<ValueType>(ioSettings.getExplicitDRNFilename()); |
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} else { |
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STORM_LOG_THROW(ioSettings.isExplicitIMCASet(), storm::exceptions::InvalidSettingsException, "Unexpected explicit model input type."); |
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result = storm::api::buildExplicitIMCAModel<ValueType>(ioSettings.getExplicitIMCAFilename()); |
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} |
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return result; |
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} |
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template <storm::dd::DdType DdType, typename ValueType> |
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std::shared_ptr<storm::models::ModelBase> buildModel(storm::settings::modules::CoreSettings::Engine const& engine, SymbolicInput const& input, storm::settings::modules::IOSettings const& ioSettings) { |
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storm::utility::Stopwatch modelBuildingWatch(true); |
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std::shared_ptr<storm::models::ModelBase> result; |
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if (input.model) { |
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if (engine == storm::settings::modules::CoreSettings::Engine::Dd || engine == storm::settings::modules::CoreSettings::Engine::Hybrid) { |
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result = buildModelDd<DdType, ValueType>(input); |
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} else if (engine == storm::settings::modules::CoreSettings::Engine::Sparse) { |
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result = buildModelSparse<ValueType>(input, ioSettings); |
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} |
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} else if (ioSettings.isExplicitSet() || ioSettings.isExplicitDRNSet() || ioSettings.isExplicitIMCASet()) { |
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STORM_LOG_THROW(engine == storm::settings::modules::CoreSettings::Engine::Sparse, storm::exceptions::InvalidSettingsException, "Can only use sparse engine with explicit input."); |
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result = buildModelExplicit<ValueType>(ioSettings); |
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} |
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modelBuildingWatch.stop(); |
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if (result) { |
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STORM_PRINT_AND_LOG("Time for model construction: " << modelBuildingWatch << "." << std::endl << std::endl); |
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} |
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return result; |
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} |
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template <typename ValueType> |
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std::shared_ptr<storm::models::sparse::Model<ValueType>> preprocessSparseMarkovAutomaton(std::shared_ptr<storm::models::sparse::MarkovAutomaton<ValueType>> const& model) { |
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std::shared_ptr<storm::models::sparse::Model<ValueType>> result = model; |
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model->close(); |
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if (model->hasOnlyTrivialNondeterminism()) { |
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result = model->convertToCTMC(); |
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} |
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return result; |
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} |
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template <typename ValueType> |
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std::shared_ptr<storm::models::sparse::Model<ValueType>> preprocessSparseModelBisimulation(std::shared_ptr<storm::models::sparse::Model<ValueType>> const& model, SymbolicInput const& input, storm::settings::modules::BisimulationSettings const& bisimulationSettings) { |
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storm::storage::BisimulationType bisimType = storm::storage::BisimulationType::Strong; |
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if (bisimulationSettings.isWeakBisimulationSet()) { |
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bisimType = storm::storage::BisimulationType::Weak; |
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} |
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STORM_LOG_INFO("Performing bisimulation minimization..."); |
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return storm::api::performBisimulationMinimization<ValueType>(model, createFormulasToRespect(input.properties), bisimType); |
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} |
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template <typename ValueType> |
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std::pair<std::shared_ptr<storm::models::sparse::Model<ValueType>>, bool> preprocessSparseModel(std::shared_ptr<storm::models::sparse::Model<ValueType>> const& model, SymbolicInput const& input) { |
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auto generalSettings = storm::settings::getModule<storm::settings::modules::GeneralSettings>(); |
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auto bisimulationSettings = storm::settings::getModule<storm::settings::modules::BisimulationSettings>(); |
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auto ioSettings = storm::settings::getModule<storm::settings::modules::IOSettings>(); |
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std::pair<std::shared_ptr<storm::models::sparse::Model<ValueType>>, bool> result = std::make_pair(model, false); |
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if (result.first->isOfType(storm::models::ModelType::MarkovAutomaton)) { |
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result.first = preprocessSparseMarkovAutomaton(result.first->template as<storm::models::sparse::MarkovAutomaton<ValueType>>()); |
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result.second = true; |
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} |
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if (generalSettings.isBisimulationSet()) { |
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result.first = preprocessSparseModelBisimulation(result.first, input, bisimulationSettings); |
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result.second = true; |
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} |
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return result; |
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} |
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template <typename ValueType> |
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void exportSparseModel(std::shared_ptr<storm::models::sparse::Model<ValueType>> const& model, SymbolicInput const& input) { |
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auto ioSettings = storm::settings::getModule<storm::settings::modules::IOSettings>(); |
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if (ioSettings.isExportExplicitSet()) { |
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storm::api::exportSparseModelAsDrn(model, ioSettings.getExportExplicitFilename(), input.model ? input.model.get().getParameterNames() : std::vector<std::string>()); |
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} |
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if (ioSettings.isExportDotSet()) { |
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storm::api::exportSparseModelAsDot(model, ioSettings.getExportDotFilename()); |
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} |
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} |
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template <storm::dd::DdType DdType, typename ValueType> |
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void exportDdModel(std::shared_ptr<storm::models::symbolic::Model<DdType, ValueType>> const& model, SymbolicInput const& input) { |
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// Intentionally left empty. |
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} |
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template <storm::dd::DdType DdType, typename ValueType> |
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void exportModel(std::shared_ptr<storm::models::ModelBase> const& model, SymbolicInput const& input) { |
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if (model->isSparseModel()) { |
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exportSparseModel<ValueType>(model->as<storm::models::sparse::Model<ValueType>>(), input); |
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} else { |
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exportDdModel<DdType, ValueType>(model->as<storm::models::symbolic::Model<DdType, ValueType>>(), input); |
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} |
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} |
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template <storm::dd::DdType DdType, typename ValueType> |
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std::pair<std::shared_ptr<storm::models::ModelBase>, bool> preprocessDdModel(std::shared_ptr<storm::models::symbolic::Model<DdType, ValueType>> const& model, SymbolicInput const& input) { |
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return std::make_pair(model, false); |
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} |
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template <storm::dd::DdType DdType, typename ValueType> |
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std::pair<std::shared_ptr<storm::models::ModelBase>, bool> preprocessModel(std::shared_ptr<storm::models::ModelBase> const& model, SymbolicInput const& input) { |
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storm::utility::Stopwatch preprocessingWatch(true); |
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std::pair<std::shared_ptr<storm::models::ModelBase>, bool> result = std::make_pair(model, false); |
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if (model->isSparseModel()) { |
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result = preprocessSparseModel<ValueType>(result.first->as<storm::models::sparse::Model<ValueType>>(), input); |
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} else { |
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STORM_LOG_ASSERT(model->isSymbolicModel(), "Unexpected model type."); |
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result = preprocessDdModel<DdType, ValueType>(result.first->as<storm::models::symbolic::Model<DdType, ValueType>>(), input); |
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} |
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if (result.second) { |
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STORM_PRINT_AND_LOG(std::endl << "Time for model preprocessing: " << preprocessingWatch << "." << std::endl << std::endl); |
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} |
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return result; |
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} |
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void printComputingCounterexample(storm::jani::Property const& property) { |
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STORM_PRINT_AND_LOG("Computing counterexample for property " << *property.getRawFormula() << " ..." << std::endl); |
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} |
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void printCounterexample(std::shared_ptr<storm::counterexamples::Counterexample> const& counterexample, storm::utility::Stopwatch* watch = nullptr) { |
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if (counterexample) { |
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STORM_PRINT_AND_LOG(*counterexample << std::endl); |
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if (watch) { |
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STORM_PRINT_AND_LOG("Time for computation: " << *watch << "." << std::endl); |
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} |
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} else { |
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STORM_PRINT_AND_LOG(" failed." << std::endl); |
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} |
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} |
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template <typename ValueType> |
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void generateCounterexamples(std::shared_ptr<storm::models::ModelBase> const& model, SymbolicInput const& input) { |
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STORM_LOG_THROW(false, storm::exceptions::NotSupportedException, "Counterexample generation is not supported for this data-type."); |
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} |
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template <> |
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void generateCounterexamples<double>(std::shared_ptr<storm::models::ModelBase> const& model, SymbolicInput const& input) { |
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typedef double ValueType; |
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STORM_LOG_THROW(model->isSparseModel(), storm::exceptions::NotSupportedException, "Counterexample generation is currently only supported for sparse models."); |
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auto sparseModel = model->as<storm::models::sparse::Model<ValueType>>(); |
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STORM_LOG_THROW(sparseModel->isOfType(storm::models::ModelType::Mdp), storm::exceptions::NotSupportedException, "Counterexample is currently only supported for MDPs."); |
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auto mdp = sparseModel->template as<storm::models::sparse::Mdp<ValueType>>(); |
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auto counterexampleSettings = storm::settings::getModule<storm::settings::modules::CounterexampleGeneratorSettings>(); |
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if (counterexampleSettings.isMinimalCommandSetGenerationSet()) { |
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STORM_LOG_THROW(input.model && input.model.get().isPrismProgram(), storm::exceptions::NotSupportedException, "Minimal command set counterexamples are only supported for PRISM model input."); |
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storm::prism::Program const& program = input.model.get().asPrismProgram(); |
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bool useMilp = counterexampleSettings.isUseMilpBasedMinimalCommandSetGenerationSet(); |
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for (auto const& property : input.properties) { |
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std::shared_ptr<storm::counterexamples::Counterexample> counterexample; |
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printComputingCounterexample(property); |
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storm::utility::Stopwatch watch(true); |
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if (useMilp) { |
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counterexample = storm::api::computePrismHighLevelCounterexampleMilp(program, mdp, property.getRawFormula()); |
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} else { |
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counterexample = storm::api::computePrismHighLevelCounterexampleMaxSmt(program, mdp, property.getRawFormula()); |
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} |
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watch.stop(); |
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printCounterexample(counterexample, &watch); |
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} |
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} else { |
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STORM_LOG_THROW(false, storm::exceptions::NotSupportedException, "The selected counterexample formalism is unsupported."); |
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} |
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} |
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template<typename ValueType> |
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void printFilteredResult(std::unique_ptr<storm::modelchecker::CheckResult> const& result, storm::modelchecker::FilterType ft) { |
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if (result->isQuantitative()) { |
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switch (ft) { |
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case storm::modelchecker::FilterType::VALUES: |
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STORM_PRINT_AND_LOG(*result); |
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break; |
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case storm::modelchecker::FilterType::SUM: |
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STORM_PRINT_AND_LOG(result->asQuantitativeCheckResult<ValueType>().sum()); |
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break; |
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case storm::modelchecker::FilterType::AVG: |
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STORM_PRINT_AND_LOG(result->asQuantitativeCheckResult<ValueType>().average()); |
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break; |
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case storm::modelchecker::FilterType::MIN: |
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STORM_PRINT_AND_LOG(result->asQuantitativeCheckResult<ValueType>().getMin()); |
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break; |
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case storm::modelchecker::FilterType::MAX: |
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STORM_PRINT_AND_LOG(result->asQuantitativeCheckResult<ValueType>().getMax()); |
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break; |
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case storm::modelchecker::FilterType::ARGMIN: |
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case storm::modelchecker::FilterType::ARGMAX: |
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STORM_LOG_THROW(false, storm::exceptions::NotSupportedException, "Outputting states is not supported."); |
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case storm::modelchecker::FilterType::EXISTS: |
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case storm::modelchecker::FilterType::FORALL: |
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case storm::modelchecker::FilterType::COUNT: |
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STORM_LOG_THROW(false, storm::exceptions::InvalidArgumentException, "Filter type only defined for qualitative results."); |
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} |
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} else { |
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switch (ft) { |
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case storm::modelchecker::FilterType::VALUES: |
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STORM_PRINT_AND_LOG(*result << std::endl); |
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break; |
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case storm::modelchecker::FilterType::EXISTS: |
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STORM_PRINT_AND_LOG(result->asQualitativeCheckResult().existsTrue()); |
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break; |
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case storm::modelchecker::FilterType::FORALL: |
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STORM_PRINT_AND_LOG(result->asQualitativeCheckResult().forallTrue()); |
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break; |
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case storm::modelchecker::FilterType::COUNT: |
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STORM_PRINT_AND_LOG(result->asQualitativeCheckResult().count()); |
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break; |
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case storm::modelchecker::FilterType::ARGMIN: |
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case storm::modelchecker::FilterType::ARGMAX: |
|||
STORM_LOG_THROW(false, storm::exceptions::NotSupportedException, "Outputting states is not supported."); |
|||
case storm::modelchecker::FilterType::SUM: |
|||
case storm::modelchecker::FilterType::AVG: |
|||
case storm::modelchecker::FilterType::MIN: |
|||
case storm::modelchecker::FilterType::MAX: |
|||
STORM_LOG_THROW(false, storm::exceptions::InvalidArgumentException, "Filter type only defined for quantitative results."); |
|||
} |
|||
} |
|||
STORM_PRINT_AND_LOG(std::endl); |
|||
} |
|||
|
|||
void printModelCheckingProperty(storm::jani::Property const& property) { |
|||
STORM_PRINT_AND_LOG(std::endl << "Model checking property " << *property.getRawFormula() << " ..." << std::endl); |
|||
} |
|||
|
|||
template<typename ValueType> |
|||
void printResult(std::unique_ptr<storm::modelchecker::CheckResult> const& result, storm::jani::Property const& property, storm::utility::Stopwatch* watch = nullptr) { |
|||
if (result) { |
|||
std::stringstream ss; |
|||
ss << "'" << *property.getFilter().getStatesFormula() << "'"; |
|||
STORM_PRINT_AND_LOG("Result (for " << (property.getFilter().getStatesFormula()->isInitialFormula() ? "initial" : ss.str()) << " states): "); |
|||
printFilteredResult<ValueType>(result, property.getFilter().getFilterType()); |
|||
if (watch) { |
|||
STORM_PRINT_AND_LOG("Time for model checking: " << *watch << "." << std::endl); |
|||
} |
|||
} else { |
|||
STORM_PRINT_AND_LOG(" failed, property is unsupported by selected engine/settings." << std::endl); |
|||
} |
|||
} |
|||
|
|||
struct PostprocessingIdentity { |
|||
void operator()(std::unique_ptr<storm::modelchecker::CheckResult> const&) { |
|||
// Intentionally left empty. |
|||
} |
|||
}; |
|||
|
|||
template<typename ValueType> |
|||
void verifyProperties(std::vector<storm::jani::Property> const& properties, std::function<std::unique_ptr<storm::modelchecker::CheckResult>(std::shared_ptr<storm::logic::Formula const> const& formula, std::shared_ptr<storm::logic::Formula const> const& states)> const& verificationCallback, std::function<void(std::unique_ptr<storm::modelchecker::CheckResult> const&)> const& postprocessingCallback = PostprocessingIdentity()) { |
|||
for (auto const& property : properties) { |
|||
printModelCheckingProperty(property); |
|||
storm::utility::Stopwatch watch(true); |
|||
std::unique_ptr<storm::modelchecker::CheckResult> result = verificationCallback(property.getRawFormula(), property.getFilter().getStatesFormula()); |
|||
watch.stop(); |
|||
postprocessingCallback(result); |
|||
printResult<ValueType>(result, property, &watch); |
|||
} |
|||
} |
|||
|
|||
template <storm::dd::DdType DdType, typename ValueType> |
|||
void verifyWithAbstractionRefinementEngine(SymbolicInput const& input) { |
|||
STORM_LOG_ASSERT(input.model, "Expected symbolic model description."); |
|||
verifyProperties<ValueType>(input.properties, [&input] (std::shared_ptr<storm::logic::Formula const> const& formula, std::shared_ptr<storm::logic::Formula const> const& states) { |
|||
STORM_LOG_THROW(states->isInitialFormula(), storm::exceptions::NotSupportedException, "Abstraction-refinement can only filter initial states."); |
|||
return storm::api::verifyWithAbstractionRefinementEngine<DdType, ValueType>(input.model.get(), storm::api::createTask<ValueType>(formula, true)); |
|||
}); |
|||
} |
|||
|
|||
template <typename ValueType> |
|||
void verifyWithExplorationEngine(SymbolicInput const& input) { |
|||
STORM_LOG_ASSERT(input.model, "Expected symbolic model description."); |
|||
STORM_LOG_THROW((std::is_same<ValueType, double>::value), storm::exceptions::NotSupportedException, "Exploration does not support other data-types than floating points."); |
|||
verifyProperties<ValueType>(input.properties, [&input] (std::shared_ptr<storm::logic::Formula const> const& formula, std::shared_ptr<storm::logic::Formula const> const& states) { |
|||
STORM_LOG_THROW(states->isInitialFormula(), storm::exceptions::NotSupportedException, "Exploration can only filter initial states."); |
|||
return storm::api::verifyWithExplorationEngine<ValueType>(input.model.get(), storm::api::createTask<ValueType>(formula, true)); |
|||
}); |
|||
} |
|||
|
|||
template <typename ValueType> |
|||
void verifyWithSparseEngine(std::shared_ptr<storm::models::ModelBase> const& model, SymbolicInput const& input) { |
|||
auto sparseModel = model->as<storm::models::sparse::Model<ValueType>>(); |
|||
verifyProperties<ValueType>(input.properties, |
|||
[&sparseModel] (std::shared_ptr<storm::logic::Formula const> const& formula, std::shared_ptr<storm::logic::Formula const> const& states) { |
|||
bool filterForInitialStates = states->isInitialFormula(); |
|||
auto task = storm::api::createTask<ValueType>(formula, filterForInitialStates); |
|||
std::unique_ptr<storm::modelchecker::CheckResult> result = storm::api::verifyWithSparseEngine<ValueType>(sparseModel, task); |
|||
|
|||
std::unique_ptr<storm::modelchecker::CheckResult> filter; |
|||
if (filterForInitialStates) { |
|||
filter = std::make_unique<storm::modelchecker::ExplicitQualitativeCheckResult>(sparseModel->getInitialStates()); |
|||
} else { |
|||
filter = storm::api::verifyWithSparseEngine<ValueType>(sparseModel, storm::api::createTask<ValueType>(states, false)); |
|||
} |
|||
if (result && filter) { |
|||
result->filter(filter->asQualitativeCheckResult()); |
|||
} |
|||
return result; |
|||
}); |
|||
} |
|||
|
|||
template <storm::dd::DdType DdType, typename ValueType> |
|||
void verifyWithHybridEngine(std::shared_ptr<storm::models::ModelBase> const& model, SymbolicInput const& input) { |
|||
verifyProperties<ValueType>(input.properties, [&model] (std::shared_ptr<storm::logic::Formula const> const& formula, std::shared_ptr<storm::logic::Formula const> const& states) { |
|||
bool filterForInitialStates = states->isInitialFormula(); |
|||
auto task = storm::api::createTask<ValueType>(formula, filterForInitialStates); |
|||
|
|||
auto symbolicModel = model->as<storm::models::symbolic::Model<DdType, ValueType>>(); |
|||
std::unique_ptr<storm::modelchecker::CheckResult> result = storm::api::verifyWithHybridEngine<DdType, ValueType>(symbolicModel, task); |
|||
|
|||
std::unique_ptr<storm::modelchecker::CheckResult> filter; |
|||
if (filterForInitialStates) { |
|||
filter = std::make_unique<storm::modelchecker::SymbolicQualitativeCheckResult<DdType>>(symbolicModel->getReachableStates(), symbolicModel->getInitialStates()); |
|||
} else { |
|||
filter = storm::api::verifyWithHybridEngine<DdType, ValueType>(symbolicModel, storm::api::createTask<ValueType>(states, false)); |
|||
} |
|||
if (result && filter) { |
|||
result->filter(filter->asQualitativeCheckResult()); |
|||
} |
|||
return result; |
|||
}); |
|||
} |
|||
|
|||
template <storm::dd::DdType DdType, typename ValueType> |
|||
void verifyWithDdEngine(std::shared_ptr<storm::models::ModelBase> const& model, SymbolicInput const& input) { |
|||
verifyProperties<ValueType>(input.properties, [&model] (std::shared_ptr<storm::logic::Formula const> const& formula, std::shared_ptr<storm::logic::Formula const> const& states) { |
|||
bool filterForInitialStates = states->isInitialFormula(); |
|||
auto task = storm::api::createTask<ValueType>(formula, filterForInitialStates); |
|||
|
|||
auto symbolicModel = model->as<storm::models::symbolic::Model<DdType, ValueType>>(); |
|||
std::unique_ptr<storm::modelchecker::CheckResult> result = storm::api::verifyWithDdEngine<DdType, ValueType>(model->as<storm::models::symbolic::Model<DdType, ValueType>>(), storm::api::createTask<ValueType>(formula, true)); |
|||
|
|||
std::unique_ptr<storm::modelchecker::CheckResult> filter; |
|||
if (filterForInitialStates) { |
|||
filter = std::make_unique<storm::modelchecker::SymbolicQualitativeCheckResult<DdType>>(symbolicModel->getReachableStates(), symbolicModel->getInitialStates()); |
|||
} else { |
|||
filter = storm::api::verifyWithDdEngine<DdType, ValueType>(symbolicModel, storm::api::createTask<ValueType>(states, false)); |
|||
} |
|||
if (result && filter) { |
|||
result->filter(filter->asQualitativeCheckResult()); |
|||
} |
|||
return result; |
|||
}); |
|||
} |
|||
|
|||
template <storm::dd::DdType DdType, typename ValueType> |
|||
typename std::enable_if<DdType != storm::dd::DdType::CUDD || std::is_same<ValueType, double>::value, void>::type verifySymbolicModel(std::shared_ptr<storm::models::ModelBase> const& model, SymbolicInput const& input, storm::settings::modules::CoreSettings const& coreSettings) { |
|||
bool hybrid = coreSettings.getEngine() == storm::settings::modules::CoreSettings::Engine::Hybrid; |
|||
if (hybrid) { |
|||
verifyWithHybridEngine<DdType, ValueType>(model, input); |
|||
} else { |
|||
verifyWithDdEngine<DdType, ValueType>(model, input); |
|||
} |
|||
} |
|||
|
|||
template <storm::dd::DdType DdType, typename ValueType> |
|||
typename std::enable_if<DdType == storm::dd::DdType::CUDD && !std::is_same<ValueType, double>::value, void>::type verifySymbolicModel(std::shared_ptr<storm::models::ModelBase> const& model, SymbolicInput const& input, storm::settings::modules::CoreSettings const& coreSettings) { |
|||
STORM_LOG_THROW(false, storm::exceptions::NotSupportedException, "CUDD does not support the selected data-type."); |
|||
} |
|||
|
|||
template <storm::dd::DdType DdType, typename ValueType> |
|||
void verifyModel(std::shared_ptr<storm::models::ModelBase> const& model, SymbolicInput const& input, storm::settings::modules::CoreSettings const& coreSettings) { |
|||
if (model->isSparseModel()) { |
|||
verifyWithSparseEngine<ValueType>(model, input); |
|||
} else { |
|||
STORM_LOG_ASSERT(model->isSymbolicModel(), "Unexpected model type."); |
|||
verifySymbolicModel<DdType, ValueType>(model, input, coreSettings); |
|||
} |
|||
} |
|||
|
|||
template <storm::dd::DdType DdType, typename ValueType> |
|||
std::shared_ptr<storm::models::ModelBase> buildPreprocessExportModelWithValueTypeAndDdlib(SymbolicInput const& input, storm::settings::modules::CoreSettings::Engine engine) { |
|||
auto ioSettings = storm::settings::getModule<storm::settings::modules::IOSettings>(); |
|||
std::shared_ptr<storm::models::ModelBase> model; |
|||
if (!ioSettings.isNoBuildModelSet()) { |
|||
model = buildModel<DdType, ValueType>(engine, input, ioSettings); |
|||
} |
|||
|
|||
if (model) { |
|||
model->printModelInformationToStream(std::cout); |
|||
} |
|||
|
|||
STORM_LOG_THROW(model || input.properties.empty(), storm::exceptions::InvalidSettingsException, "No input model."); |
|||
|
|||
if (model) { |
|||
auto preprocessingResult = preprocessModel<DdType, ValueType>(model, input); |
|||
if (preprocessingResult.second) { |
|||
model = preprocessingResult.first; |
|||
model->printModelInformationToStream(std::cout); |
|||
} |
|||
exportModel<DdType, ValueType>(model, input); |
|||
} |
|||
return model; |
|||
} |
|||
|
|||
template <storm::dd::DdType DdType, typename ValueType> |
|||
void processInputWithValueTypeAndDdlib(SymbolicInput const& input) { |
|||
auto coreSettings = storm::settings::getModule<storm::settings::modules::CoreSettings>(); |
|||
|
|||
// For several engines, no model building step is performed, but the verification is started right away. |
|||
storm::settings::modules::CoreSettings::Engine engine = coreSettings.getEngine(); |
|||
if (engine == storm::settings::modules::CoreSettings::Engine::AbstractionRefinement) { |
|||
verifyWithAbstractionRefinementEngine<DdType, ValueType>(input); |
|||
} else if (engine == storm::settings::modules::CoreSettings::Engine::Exploration) { |
|||
verifyWithExplorationEngine<ValueType>(input); |
|||
} else { |
|||
std::shared_ptr<storm::models::ModelBase> model = buildPreprocessExportModelWithValueTypeAndDdlib<DdType, ValueType>(input, engine); |
|||
|
|||
if (model) { |
|||
if (coreSettings.isCounterexampleSet()) { |
|||
auto ioSettings = storm::settings::getModule<storm::settings::modules::IOSettings>(); |
|||
generateCounterexamples<ValueType>(model, input); |
|||
} else { |
|||
auto ioSettings = storm::settings::getModule<storm::settings::modules::IOSettings>(); |
|||
verifyModel<DdType, ValueType>(model, input, coreSettings); |
|||
} |
|||
} |
|||
} |
|||
} |
|||
|
|||
template <typename ValueType> |
|||
void processInputWithValueType(SymbolicInput const& input) { |
|||
auto coreSettings = storm::settings::getModule<storm::settings::modules::CoreSettings>(); |
|||
|
|||
if (coreSettings.getDdLibraryType() == storm::dd::DdType::CUDD) { |
|||
processInputWithValueTypeAndDdlib<storm::dd::DdType::CUDD, ValueType>(input); |
|||
} else { |
|||
STORM_LOG_ASSERT(coreSettings.getDdLibraryType() == storm::dd::DdType::Sylvan, "Unknown DD library."); |
|||
processInputWithValueTypeAndDdlib<storm::dd::DdType::Sylvan, ValueType>(input); |
|||
} |
|||
} |
|||
|
|||
} |
|||
} |
|||
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