484 lines
28 KiB
484 lines
28 KiB
#ifndef STORM_UTILITY_CLI_H_
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#define STORM_UTILITY_CLI_H_
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#include <iostream>
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#include <iomanip>
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#include <fstream>
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#include <cstdio>
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#include <sstream>
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#include <memory>
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#include "initialize.h"
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#include "storm-config.h"
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// Headers that provide auxiliary functionality.
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#include "src/utility/storm-version.h"
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#include "src/utility/OsDetection.h"
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#include "src/settings/SettingsManager.h"
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// Headers related to parsing.
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#include "src/parser/AutoParser.h"
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#include "src/parser/PrismParser.h"
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#include "src/parser/FormulaParser.h"
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// Formula headers.
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#include "src/logic/Formulas.h"
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// Model headers.
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#include "src/models/ModelBase.h"
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#include "src/models/sparse/Model.h"
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#include "src/models/symbolic/Model.h"
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// Headers of builders.
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#include "src/builder/ExplicitPrismModelBuilder.h"
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#include "src/builder/DdPrismModelBuilder.h"
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// Headers for model processing.
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#include "src/storage/DeterministicModelBisimulationDecomposition.h"
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// Headers for model checking.
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#include "src/modelchecker/prctl/SparseDtmcPrctlModelChecker.h"
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#include "src/modelchecker/reachability/SparseDtmcEliminationModelChecker.h"
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#include "src/modelchecker/prctl/SparseMdpPrctlModelChecker.h"
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#include "src/modelchecker/csl/SparseCtmcCslModelChecker.h"
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#include "src/modelchecker/prctl/HybridDtmcPrctlModelChecker.h"
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#include "src/modelchecker/csl/HybridCtmcCslModelChecker.h"
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#include "src/modelchecker/prctl/HybridMdpPrctlModelChecker.h"
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#include "src/modelchecker/results/ExplicitQualitativeCheckResult.h"
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#include "src/modelchecker/results/SymbolicQualitativeCheckResult.h"
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// Headers for counterexample generation.
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#include "src/counterexamples/MILPMinimalLabelSetGenerator.h"
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#include "src/counterexamples/SMTMinimalCommandSetGenerator.h"
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// Headers related to exception handling.
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#include "src/exceptions/InvalidStateException.h"
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#include "src/exceptions/InvalidArgumentException.h"
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#include "src/exceptions/InvalidSettingsException.h"
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#include "src/exceptions/InvalidTypeException.h"
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#include "src/exceptions/NotImplementedException.h"
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namespace storm {
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namespace utility {
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namespace cli {
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std::string getCurrentWorkingDirectory();
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void printHeader(const int argc, const char* argv[]);
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void printUsage();
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/*!
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* Parses the given command line arguments.
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*
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* @param argc The argc argument of main().
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* @param argv The argv argument of main().
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* @return True iff the program should continue to run after parsing the options.
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*/
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bool parseOptions(const int argc, const char* argv[]);
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template<typename ValueType>
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std::shared_ptr<storm::models::sparse::Model<ValueType>> buildExplicitModel(std::string const& transitionsFile, std::string const& labelingFile, boost::optional<std::string> const& stateRewardsFile = boost::optional<std::string>(), boost::optional<std::string> const& transitionRewardsFile = boost::optional<std::string>()) {
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return storm::parser::AutoParser::parseModel(transitionsFile, labelingFile, stateRewardsFile ? stateRewardsFile.get() : "", transitionRewardsFile ? transitionRewardsFile.get() : "");
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}
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template<typename ValueType>
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std::shared_ptr<storm::models::ModelBase> buildSymbolicModel(storm::prism::Program const& program, boost::optional<std::shared_ptr<storm::logic::Formula>> const& formula) {
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std::shared_ptr<storm::models::ModelBase> result(nullptr);
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storm::settings::modules::GeneralSettings settings = storm::settings::generalSettings();
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// Get the string that assigns values to the unknown currently undefined constants in the model.
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std::string constants = settings.getConstantDefinitionString();
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bool buildRewards = false;
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boost::optional<std::string> rewardModelName;
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if (formula || settings.isSymbolicRewardModelNameSet()) {
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buildRewards = formula.get()->isRewardOperatorFormula() || formula.get()->isRewardPathFormula();
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if (settings.isSymbolicRewardModelNameSet()) {
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rewardModelName = settings.getSymbolicRewardModelName();
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}
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}
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// Customize and perform model-building.
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if (settings.getEngine() == storm::settings::modules::GeneralSettings::Engine::Sparse) {
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typename storm::builder::ExplicitPrismModelBuilder<ValueType>::Options options;
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if (formula) {
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options = typename storm::builder::ExplicitPrismModelBuilder<ValueType>::Options(*formula.get());
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}
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options.addConstantDefinitionsFromString(program, settings.getConstantDefinitionString());
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options.buildRewards = buildRewards;
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options.rewardModelName = rewardModelName;
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// Generate command labels if we are going to build a counterexample later.
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if (storm::settings::counterexampleGeneratorSettings().isMinimalCommandSetGenerationSet()) {
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options.buildCommandLabels = true;
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}
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result = storm::builder::ExplicitPrismModelBuilder<ValueType>::translateProgram(program, options);
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} else if (settings.getEngine() == storm::settings::modules::GeneralSettings::Engine::Dd || settings.getEngine() == storm::settings::modules::GeneralSettings::Engine::Hybrid) {
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typename storm::builder::DdPrismModelBuilder<storm::dd::DdType::CUDD>::Options options;
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if (formula) {
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options = typename storm::builder::DdPrismModelBuilder<storm::dd::DdType::CUDD>::Options(*formula.get());
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}
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options.addConstantDefinitionsFromString(program, settings.getConstantDefinitionString());
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options.buildRewards = buildRewards;
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options.rewardModelName = rewardModelName;
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result = storm::builder::DdPrismModelBuilder<storm::dd::DdType::CUDD>::translateProgram(program, options);
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}
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// Then, build the model from the symbolic description.
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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::ModelBase> preprocessModel(std::shared_ptr<storm::models::ModelBase> model, boost::optional<std::shared_ptr<storm::logic::Formula>> const& formula) {
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if (storm::settings::generalSettings().isBisimulationSet()) {
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STORM_LOG_THROW(model->isSparseModel(), storm::exceptions::InvalidSettingsException, "Bisimulation minimization is currently only available for sparse models.");
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std::shared_ptr<storm::models::sparse::Model<ValueType>> sparseModel = model->template as<storm::models::sparse::Model<ValueType>>();
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STORM_LOG_THROW(model->getType() == storm::models::ModelType::Dtmc || model->getType() == storm::models::ModelType::Ctmc, storm::exceptions::InvalidSettingsException, "Bisimulation minimization is currently only available for DTMCs.");
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std::shared_ptr<storm::models::sparse::Dtmc<ValueType>> dtmc = sparseModel->template as<storm::models::sparse::Dtmc<ValueType>>();
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if (dtmc->hasTransitionRewards()) {
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dtmc->convertTransitionRewardsToStateRewards();
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}
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std::cout << "Performing bisimulation minimization... ";
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typename storm::storage::DeterministicModelBisimulationDecomposition<ValueType>::Options options;
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if (formula) {
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options = typename storm::storage::DeterministicModelBisimulationDecomposition<ValueType>::Options(*sparseModel, *formula.get());
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}
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if (storm::settings::bisimulationSettings().isWeakBisimulationSet()) {
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options.weak = true;
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options.bounded = false;
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}
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storm::storage::DeterministicModelBisimulationDecomposition<ValueType> bisimulationDecomposition(*dtmc, options);
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model = bisimulationDecomposition.getQuotient();
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std::cout << "done." << std::endl << std::endl;
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}
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return model;
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}
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template<typename ValueType>
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void generateCounterexample(storm::prism::Program const& program, std::shared_ptr<storm::models::sparse::Model<ValueType>> model, std::shared_ptr<storm::logic::Formula> formula) {
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if (storm::settings::counterexampleGeneratorSettings().isMinimalCommandSetGenerationSet()) {
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STORM_LOG_THROW(model->getType() == storm::models::ModelType::Mdp, storm::exceptions::InvalidTypeException, "Minimal command set generation is only available for MDPs.");
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STORM_LOG_THROW(storm::settings::generalSettings().isSymbolicSet(), storm::exceptions::InvalidSettingsException, "Minimal command set generation is only available for symbolic models.");
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std::shared_ptr<storm::models::sparse::Mdp<ValueType>> mdp = model->template as<storm::models::sparse::Mdp<ValueType>>();
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// Determine whether we are required to use the MILP-version or the SAT-version.
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bool useMILP = storm::settings::counterexampleGeneratorSettings().isUseMilpBasedMinimalCommandSetGenerationSet();
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if (useMILP) {
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storm::counterexamples::MILPMinimalLabelSetGenerator<ValueType>::computeCounterexample(program, *mdp, formula);
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} else {
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storm::counterexamples::SMTMinimalCommandSetGenerator<ValueType>::computeCounterexample(program, storm::settings::generalSettings().getConstantDefinitionString(), *mdp, formula);
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}
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} else {
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STORM_LOG_THROW(false, storm::exceptions::InvalidSettingsException, "No suitable counterexample representation selected.");
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}
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}
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#ifdef STORM_HAVE_CARL
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template<>
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inline void generateCounterexample(storm::prism::Program const& program, std::shared_ptr<storm::models::sparse::Model<storm::RationalFunction>> model, std::shared_ptr<storm::logic::Formula> formula) {
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STORM_LOG_THROW(false, storm::exceptions::InvalidSettingsException, "Unable to generate counterexample for parametric model.");
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}
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#endif
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template<typename ValueType>
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void verifySparseModel(boost::optional<storm::prism::Program> const& program, std::shared_ptr<storm::models::sparse::Model<ValueType>> model, std::shared_ptr<storm::logic::Formula> formula) {
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storm::settings::modules::GeneralSettings const& settings = storm::settings::generalSettings();
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// If we were requested to generate a counterexample, we now do so.
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if (settings.isCounterexampleSet()) {
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STORM_LOG_THROW(program, storm::exceptions::InvalidSettingsException, "Unable to generate counterexample for non-symbolic model.");
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generateCounterexample<ValueType>(program.get(), model, formula);
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} else {
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std::cout << std::endl << "Model checking property: " << *formula << " ...";
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std::unique_ptr<storm::modelchecker::CheckResult> result;
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if (model->getType() == storm::models::ModelType::Dtmc) {
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std::shared_ptr<storm::models::sparse::Dtmc<ValueType>> dtmc = model->template as<storm::models::sparse::Dtmc<ValueType>>();
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storm::modelchecker::SparseDtmcPrctlModelChecker<ValueType> modelchecker(*dtmc);
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if (modelchecker.canHandle(*formula.get())) {
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result = modelchecker.check(*formula.get());
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} else {
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storm::modelchecker::SparseDtmcEliminationModelChecker<ValueType> modelchecker2(*dtmc);
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if (modelchecker2.canHandle(*formula.get())) {
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result = modelchecker2.check(*formula.get());
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}
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}
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} else if (model->getType() == storm::models::ModelType::Mdp) {
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std::shared_ptr<storm::models::sparse::Mdp<ValueType>> mdp = model->template as<storm::models::sparse::Mdp<ValueType>>();
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#ifdef STORM_HAVE_CUDA
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if (settings.isCudaSet()) {
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storm::modelchecker::TopologicalValueIterationMdpPrctlModelChecker<ValueType> modelchecker(*mdp);
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result = modelchecker.check(*formula.get());
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} else {
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storm::modelchecker::SparseMdpPrctlModelChecker<ValueType> modelchecker(*mdp);
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result = modelchecker.check(*formula.get());
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}
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#else
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storm::modelchecker::SparseMdpPrctlModelChecker<ValueType> modelchecker(*mdp);
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result = modelchecker.check(*formula.get());
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#endif
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} else if (model->getType() == storm::models::ModelType::Ctmc) {
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std::shared_ptr<storm::models::sparse::Ctmc<ValueType>> ctmc = model->template as<storm::models::sparse::Ctmc<ValueType>>();
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storm::modelchecker::SparseCtmcCslModelChecker<ValueType> modelchecker(*ctmc);
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result = modelchecker.check(*formula.get());
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}
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if (result) {
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std::cout << " done." << std::endl;
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std::cout << "Result (initial states): ";
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result->filter(storm::modelchecker::ExplicitQualitativeCheckResult(model->getInitialStates()));
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std::cout << *result << std::endl;
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} else {
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std::cout << " skipped, because the modelling formalism is currently unsupported." << std::endl;
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}
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}
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}
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#ifdef STORM_HAVE_CARL
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inline void exportParametricResultToFile(storm::RationalFunction const& result, storm::models::sparse::Dtmc<storm::RationalFunction>::ConstraintCollector const& constraintCollector, std::string const& path) {
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std::ofstream filestream;
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filestream.open(path);
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// TODO: add checks.
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filestream << "!Parameters: ";
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std::set<storm::Variable> vars = result.gatherVariables();
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std::copy(vars.begin(), vars.end(), std::ostream_iterator<storm::Variable>(filestream, ", "));
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filestream << std::endl;
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filestream << "!Result: " << result << std::endl;
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filestream << "!Well-formed Constraints: " << std::endl;
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std::copy(constraintCollector.getWellformedConstraints().begin(), constraintCollector.getWellformedConstraints().end(), std::ostream_iterator<storm::ArithConstraint<storm::RationalFunction>>(filestream, "\n"));
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filestream << "!Graph-preserving Constraints: " << std::endl;
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std::copy(constraintCollector.getGraphPreservingConstraints().begin(), constraintCollector.getGraphPreservingConstraints().end(), std::ostream_iterator<storm::ArithConstraint<storm::RationalFunction>>(filestream, "\n"));
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filestream.close();
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}
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template<>
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inline void verifySparseModel(boost::optional<storm::prism::Program> const& program, std::shared_ptr<storm::models::sparse::Model<storm::RationalFunction>> model, std::shared_ptr<storm::logic::Formula> formula) {
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STORM_LOG_THROW(model->getType() == storm::models::ModelType::Dtmc, storm::exceptions::InvalidSettingsException, "Currently parametric verification is only available for DTMCs.");
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std::shared_ptr<storm::models::sparse::Dtmc<storm::RationalFunction>> dtmc = model->template as<storm::models::sparse::Dtmc<storm::RationalFunction>>();
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std::cout << std::endl << "Model checking property: " << *formula << " ...";
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std::unique_ptr<storm::modelchecker::CheckResult> result;
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storm::modelchecker::SparseDtmcEliminationModelChecker<storm::RationalFunction> modelchecker(*dtmc);
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if (modelchecker.canHandle(*formula.get())) {
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result = modelchecker.check(*formula.get());
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} else {
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STORM_LOG_THROW(false, storm::exceptions::InvalidSettingsException, "The parametric engine currently does not support this property.");
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}
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if (result) {
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std::cout << " done." << std::endl;
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std::cout << "Result (initial states): ";
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result->filter(storm::modelchecker::ExplicitQualitativeCheckResult(dtmc->getInitialStates()));
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std::cout << *result << std::endl;
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} else {
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std::cout << " skipped, because the modelling formalism is currently unsupported." << std::endl;
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}
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storm::settings::modules::ParametricSettings const& parametricSettings = storm::settings::parametricSettings();
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if (parametricSettings.exportResultToFile()) {
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exportParametricResultToFile(result->asExplicitQuantitativeCheckResult<storm::RationalFunction>()[*dtmc->getInitialStates().begin()], storm::models::sparse::Dtmc<storm::RationalFunction>::ConstraintCollector(*dtmc), parametricSettings.exportResultPath());
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}
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}
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#endif
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template<storm::dd::DdType DdType>
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void verifySymbolicModel(boost::optional<storm::prism::Program> const& program, std::shared_ptr<storm::models::symbolic::Model<DdType>> model, std::shared_ptr<storm::logic::Formula> formula) {
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std::cout << std::endl << "Model checking property: " << *formula << " ...";
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std::unique_ptr<storm::modelchecker::CheckResult> result;
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if (model->getType() == storm::models::ModelType::Dtmc) {
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std::shared_ptr<storm::models::symbolic::Dtmc<DdType>> dtmc = model->template as<storm::models::symbolic::Dtmc<DdType>>();
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storm::modelchecker::HybridDtmcPrctlModelChecker<DdType, double> modelchecker(*dtmc);
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if (modelchecker.canHandle(*formula.get())) {
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result = modelchecker.check(*formula.get());
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}
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} else if (model->getType() == storm::models::ModelType::Ctmc) {
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std::shared_ptr<storm::models::symbolic::Ctmc<DdType>> ctmc = model->template as<storm::models::symbolic::Ctmc<DdType>>();
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storm::modelchecker::HybridCtmcCslModelChecker<DdType, double> modelchecker(*ctmc);
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if (modelchecker.canHandle(*formula.get())) {
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result = modelchecker.check(*formula.get());
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}
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} else if (model->getType() == storm::models::ModelType::Mdp) {
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std::shared_ptr<storm::models::symbolic::Mdp<DdType>> mdp = model->template as<storm::models::symbolic::Mdp<DdType>>();
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storm::modelchecker::HybridMdpPrctlModelChecker<DdType, double> modelchecker(*mdp);
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if (modelchecker.canHandle(*formula.get())) {
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result = modelchecker.check(*formula.get());
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}
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} else {
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STORM_LOG_THROW(false, storm::exceptions::NotImplementedException, "This functionality is not yet implemented.");
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}
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if (result) {
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std::cout << " done." << std::endl;
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std::cout << "Result (initial states): ";
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result->filter(storm::modelchecker::SymbolicQualitativeCheckResult<DdType>(model->getReachableStates(), model->getInitialStates()));
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std::cout << *result << std::endl;
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} else {
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std::cout << " skipped, because the modelling formalism is currently unsupported." << std::endl;
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}
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}
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template<typename ValueType>
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void buildAndCheckSymbolicModel(boost::optional<storm::prism::Program> const& program, boost::optional<std::shared_ptr<storm::logic::Formula>> formula) {
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// Now we are ready to actually build the model.
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STORM_LOG_THROW(program, storm::exceptions::InvalidStateException, "Program has not been successfully parsed.");
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std::shared_ptr<storm::models::ModelBase> model = buildSymbolicModel<ValueType>(program.get(), formula);
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STORM_LOG_THROW(model != nullptr, storm::exceptions::InvalidStateException, "Model could not be constructed for an unknown reason.");
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// Preprocess the model if needed.
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model = preprocessModel<ValueType>(model, formula);
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// Print some information about the model.
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model->printModelInformationToStream(std::cout);
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// Verify the model, if a formula was given.
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if (formula) {
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if (model->isSparseModel()) {
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verifySparseModel<ValueType>(program, model->as<storm::models::sparse::Model<ValueType>>(), formula.get());
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} else if (model->isSymbolicModel()) {
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if (storm::settings::generalSettings().getEngine() == storm::settings::modules::GeneralSettings::Engine::Hybrid) {
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verifySymbolicModel(program, model->as<storm::models::symbolic::Model<storm::dd::DdType::CUDD>>(), formula.get());
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} else {
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// Not handled yet.
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STORM_LOG_THROW(false, storm::exceptions::NotImplementedException, "This functionality is not yet implemented.");
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}
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} else {
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STORM_LOG_THROW(false, storm::exceptions::InvalidSettingsException, "Invalid input model type.");
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}
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}
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}
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template<typename ValueType>
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void buildAndCheckExplicitModel(boost::optional<std::shared_ptr<storm::logic::Formula>> formula) {
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storm::settings::modules::GeneralSettings const& settings = storm::settings::generalSettings();
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STORM_LOG_THROW(settings.isExplicitSet(), storm::exceptions::InvalidStateException, "Unable to build explicit model without model files.");
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std::shared_ptr<storm::models::ModelBase> model = buildExplicitModel<ValueType>(settings.getTransitionFilename(), settings.getLabelingFilename(), settings.isStateRewardsSet() ? settings.getStateRewardsFilename() : boost::optional<std::string>(), settings.isTransitionRewardsSet() ? settings.getTransitionRewardsFilename() : boost::optional<std::string>());
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// Preprocess the model if needed.
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model = preprocessModel<ValueType>(model, formula);
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// Print some information about the model.
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model->printModelInformationToStream(std::cout);
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// Verify the model, if a formula was given.
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if (formula) {
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STORM_LOG_THROW(model->isSparseModel(), storm::exceptions::InvalidStateException, "Expected sparse model.");
|
|
verifySparseModel<ValueType>(boost::optional<storm::prism::Program>(), model->as<storm::models::sparse::Model<ValueType>>(), formula.get());
|
|
}
|
|
}
|
|
|
|
inline void processOptions() {
|
|
if (storm::settings::debugSettings().isLogfileSet()) {
|
|
initializeFileLogging();
|
|
}
|
|
|
|
storm::settings::modules::GeneralSettings const& settings = storm::settings::generalSettings();
|
|
|
|
// If we have to build the model from a symbolic representation, we need to parse the representation first.
|
|
boost::optional<storm::prism::Program> program;
|
|
if (settings.isSymbolicSet()) {
|
|
std::string const& programFile = settings.getSymbolicModelFilename();
|
|
program = storm::parser::PrismParser::parse(programFile);
|
|
}
|
|
|
|
// Then proceed to parsing the property (if given), since the model we are building may depend on the property.
|
|
std::vector<boost::optional<std::shared_ptr<storm::logic::Formula>>> formulas;
|
|
if (settings.isPropertySet()) {
|
|
boost::optional<std::shared_ptr<storm::logic::Formula>> formula;
|
|
if (program) {
|
|
storm::parser::FormulaParser formulaParser(program.get().getManager().getSharedPointer());
|
|
formula = formulaParser.parseFromString(settings.getProperty());
|
|
} else {
|
|
storm::parser::FormulaParser formulaParser;
|
|
formula = formulaParser.parseFromString(settings.getProperty());
|
|
}
|
|
formulas.push_back(formula);
|
|
}
|
|
else if (settings.isPropertyFileSet()) {
|
|
std::cout << "Reading properties from " << settings.getPropertiesFilename() << std::endl;
|
|
|
|
std::ifstream inputFileStream(settings.getPropertiesFilename(), std::ios::in);
|
|
|
|
std::vector<std::string> properties;
|
|
|
|
if (inputFileStream.good()) {
|
|
try {
|
|
while (inputFileStream.good()) {
|
|
std::string prop;
|
|
std::getline(inputFileStream, prop);
|
|
if (!prop.empty()) {
|
|
properties.push_back(prop);
|
|
}
|
|
}
|
|
}
|
|
catch (std::exception& e) {
|
|
inputFileStream.close();
|
|
throw e;
|
|
}
|
|
inputFileStream.close();
|
|
} else {
|
|
STORM_LOG_ERROR("Unable to read property file.");
|
|
}
|
|
|
|
for (std::string prop : properties) {
|
|
boost::optional<std::shared_ptr<storm::logic::Formula>> formula;
|
|
try {
|
|
if (program) {
|
|
storm::parser::FormulaParser formulaParser(program.get().getManager().getSharedPointer());
|
|
formula = formulaParser.parseFromString(prop);
|
|
} else {
|
|
storm::parser::FormulaParser formulaParser;
|
|
formula = formulaParser.parseFromString(prop);
|
|
}
|
|
formulas.push_back(formula);
|
|
}
|
|
catch (storm::exceptions::WrongFormatException &e) {
|
|
STORM_LOG_WARN("Unable to parse line as formula: " << prop);
|
|
}
|
|
}
|
|
std::cout << "Parsed " << formulas.size() << " properties from file " << settings.getPropertiesFilename() << std::endl;
|
|
}
|
|
|
|
for (boost::optional<std::shared_ptr<storm::logic::Formula>> formula : formulas) {
|
|
if (settings.isSymbolicSet()) {
|
|
#ifdef STORM_HAVE_CARL
|
|
if (settings.isParametricSet()) {
|
|
buildAndCheckSymbolicModel<storm::RationalFunction>(program.get(), formula);
|
|
} else {
|
|
#endif
|
|
buildAndCheckSymbolicModel<double>(program.get(), formula);
|
|
#ifdef STORM_HAVE_CARL
|
|
}
|
|
#endif
|
|
} else if (settings.isExplicitSet()) {
|
|
buildAndCheckExplicitModel<double>(formula);
|
|
} else {
|
|
STORM_LOG_THROW(false, storm::exceptions::InvalidSettingsException, "No input model.");
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
}
|
|
|
|
#endif
|