#include "gtest/gtest.h" #include "storm-config.h" #include "src/settings/SettingMemento.h" #include "src/parser/PrismParser.h" #include "src/parser/FormulaParser.h" #include "src/logic/Formulas.h" #include "src/builder/DdPrismModelBuilder.h" #include "src/storage/dd/DdType.h" #include "src/utility/solver.h" #include "src/models/symbolic/StandardRewardModel.h" #include "src/modelchecker/csl/HybridCtmcCslModelChecker.h" #include "src/modelchecker/results/HybridQuantitativeCheckResult.h" #include "src/modelchecker/results/SymbolicQualitativeCheckResult.h" #include "src/modelchecker/results/SymbolicQuantitativeCheckResult.h" #include "src/settings/SettingsManager.h" #include "src/settings/modules/GeneralSettings.h" #include "src/settings/modules/GmmxxEquationSolverSettings.h" #include "src/settings/modules/NativeEquationSolverSettings.h" TEST(GmmxxHybridCtmcCslModelCheckerTest, Cluster_Cudd) { // Set the PRISM compatibility mode temporarily. It is set to its old value once the returned object is destructed. std::unique_ptr enablePrismCompatibility = storm::settings::mutableGeneralSettings().overridePrismCompatibilityMode(true); // Parse the model description. storm::prism::Program program = storm::parser::PrismParser::parse(STORM_CPP_TESTS_BASE_PATH "/functional/builder/cluster2.sm"); storm::parser::FormulaParser formulaParser(program.getManager().getSharedPointer()); std::shared_ptr formula(nullptr); // Build the model. #ifdef WINDOWS storm::builder::DdPrismModelBuilder::Options options; #else typename storm::builder::DdPrismModelBuilder::Options options; #endif options.buildAllRewardModels = false; options.rewardModelsToBuild.insert("num_repairs"); std::shared_ptr> model = storm::builder::DdPrismModelBuilder().translateProgram(program, options); ASSERT_EQ(storm::models::ModelType::Ctmc, model->getType()); std::shared_ptr> ctmc = model->as>(); // Create model checker. storm::modelchecker::HybridCtmcCslModelChecker modelchecker(*ctmc, std::unique_ptr>(new storm::utility::solver::GmmxxLinearEquationSolverFactory())); // Start checking properties. formula = formulaParser.parseSingleFormulaFromString("P=? [ F<=100 !\"minimum\"]"); std::unique_ptr checkResult = modelchecker.check(*formula); ASSERT_TRUE(checkResult->isHybridQuantitativeCheckResult()); checkResult->filter(storm::modelchecker::SymbolicQualitativeCheckResult(ctmc->getReachableStates(), ctmc->getInitialStates())); storm::modelchecker::HybridQuantitativeCheckResult quantitativeCheckResult1 = checkResult->asHybridQuantitativeCheckResult(); EXPECT_NEAR(5.5461254704419085E-5, quantitativeCheckResult1.getMin(), storm::settings::generalSettings().getPrecision()); EXPECT_NEAR(5.5461254704419085E-5, quantitativeCheckResult1.getMax(), storm::settings::generalSettings().getPrecision()); formula = formulaParser.parseSingleFormulaFromString("P=? [ F[100,100] !\"minimum\"]"); checkResult = modelchecker.check(*formula); ASSERT_TRUE(checkResult->isHybridQuantitativeCheckResult()); checkResult->filter(storm::modelchecker::SymbolicQualitativeCheckResult(ctmc->getReachableStates(), ctmc->getInitialStates())); storm::modelchecker::HybridQuantitativeCheckResult quantitativeCheckResult2 = checkResult->asHybridQuantitativeCheckResult(); EXPECT_NEAR(2.3397873548343415E-6, quantitativeCheckResult2.getMin(), storm::settings::generalSettings().getPrecision()); EXPECT_NEAR(2.3397873548343415E-6, quantitativeCheckResult2.getMax(), storm::settings::generalSettings().getPrecision()); formula = formulaParser.parseSingleFormulaFromString("P=? [ F[100,2000] !\"minimum\"]"); checkResult = modelchecker.check(*formula); ASSERT_TRUE(checkResult->isHybridQuantitativeCheckResult()); checkResult->filter(storm::modelchecker::SymbolicQualitativeCheckResult(ctmc->getReachableStates(), ctmc->getInitialStates())); storm::modelchecker::HybridQuantitativeCheckResult quantitativeCheckResult3 = checkResult->asHybridQuantitativeCheckResult(); EXPECT_NEAR(0.001105335651670241, quantitativeCheckResult3.getMin(), storm::settings::generalSettings().getPrecision()); EXPECT_NEAR(0.001105335651670241, quantitativeCheckResult3.getMax(), storm::settings::generalSettings().getPrecision()); formula = formulaParser.parseSingleFormulaFromString("P=? [ \"minimum\" U<=10 \"premium\"]"); checkResult = modelchecker.check(*formula); ASSERT_TRUE(checkResult->isHybridQuantitativeCheckResult()); checkResult->filter(storm::modelchecker::SymbolicQualitativeCheckResult(ctmc->getReachableStates(), ctmc->getInitialStates())); storm::modelchecker::HybridQuantitativeCheckResult quantitativeCheckResult4 = checkResult->asHybridQuantitativeCheckResult(); EXPECT_NEAR(1, quantitativeCheckResult4.getMin(), storm::settings::generalSettings().getPrecision()); EXPECT_NEAR(1, quantitativeCheckResult4.getMax(), storm::settings::generalSettings().getPrecision()); formula = formulaParser.parseSingleFormulaFromString("P=? [ !\"minimum\" U[1,inf] \"minimum\"]"); checkResult = modelchecker.check(*formula); ASSERT_TRUE(checkResult->isHybridQuantitativeCheckResult()); checkResult->filter(storm::modelchecker::SymbolicQualitativeCheckResult(ctmc->getReachableStates(), ctmc->getInitialStates())); storm::modelchecker::HybridQuantitativeCheckResult quantitativeCheckResult5 = checkResult->asHybridQuantitativeCheckResult(); EXPECT_NEAR(0, quantitativeCheckResult5.getMin(), storm::settings::generalSettings().getPrecision()); EXPECT_NEAR(0, quantitativeCheckResult5.getMax(), storm::settings::generalSettings().getPrecision()); formula = formulaParser.parseSingleFormulaFromString("P=? [ \"minimum\" U[1,inf] !\"minimum\"]"); checkResult = modelchecker.check(*formula); ASSERT_TRUE(checkResult->isHybridQuantitativeCheckResult()); checkResult->filter(storm::modelchecker::SymbolicQualitativeCheckResult(ctmc->getReachableStates(), ctmc->getInitialStates())); storm::modelchecker::HybridQuantitativeCheckResult quantitativeCheckResult6 = checkResult->asHybridQuantitativeCheckResult(); EXPECT_NEAR(0.9999999033633374, quantitativeCheckResult6.getMin(), storm::settings::generalSettings().getPrecision()); EXPECT_NEAR(0.9999999033633374, quantitativeCheckResult6.getMax(), storm::settings::generalSettings().getPrecision()); formula = formulaParser.parseSingleFormulaFromString("R=? [C<=100]"); checkResult = modelchecker.check(*formula); ASSERT_TRUE(checkResult->isHybridQuantitativeCheckResult()); checkResult->filter(storm::modelchecker::SymbolicQualitativeCheckResult(ctmc->getReachableStates(), ctmc->getInitialStates())); storm::modelchecker::HybridQuantitativeCheckResult quantitativeCheckResult7 = checkResult->asHybridQuantitativeCheckResult(); EXPECT_NEAR(0.8602815057967503, quantitativeCheckResult7.getMin(), storm::settings::generalSettings().getPrecision()); EXPECT_NEAR(0.8602815057967503, quantitativeCheckResult7.getMax(), storm::settings::generalSettings().getPrecision()); formula = formulaParser.parseSingleFormulaFromString("LRA=? [\"minimum\"]"); checkResult = modelchecker.check(*formula); checkResult->filter(storm::modelchecker::SymbolicQualitativeCheckResult(ctmc->getReachableStates(), ctmc->getInitialStates())); storm::modelchecker::HybridQuantitativeCheckResult quantitativeCheckResult8 = checkResult->asHybridQuantitativeCheckResult(); EXPECT_NEAR(0.99999766034263426, quantitativeCheckResult8.getMin(), storm::settings::generalSettings().getPrecision()); EXPECT_NEAR(0.99999766034263426, quantitativeCheckResult8.getMax(), storm::settings::generalSettings().getPrecision()); } TEST(GmmxxHybridCtmcCslModelCheckerTest, Cluster_Sylvan) { // Set the PRISM compatibility mode temporarily. It is set to its old value once the returned object is destructed. std::unique_ptr enablePrismCompatibility = storm::settings::mutableGeneralSettings().overridePrismCompatibilityMode(true); // Parse the model description. storm::prism::Program program = storm::parser::PrismParser::parse(STORM_CPP_TESTS_BASE_PATH "/functional/builder/cluster2.sm"); storm::parser::FormulaParser formulaParser(program.getManager().getSharedPointer()); std::shared_ptr formula(nullptr); // Build the model. #ifdef WINDOWS storm::builder::DdPrismModelBuilder::Options options; #else typename storm::builder::DdPrismModelBuilder::Options options; #endif options.buildAllRewardModels = false; options.rewardModelsToBuild.insert("num_repairs"); std::shared_ptr> model = storm::builder::DdPrismModelBuilder().translateProgram(program, options); ASSERT_EQ(storm::models::ModelType::Ctmc, model->getType()); std::shared_ptr> ctmc = model->as>(); // Create model checker. storm::modelchecker::HybridCtmcCslModelChecker modelchecker(*ctmc, std::unique_ptr>(new storm::utility::solver::GmmxxLinearEquationSolverFactory())); // Start checking properties. formula = formulaParser.parseSingleFormulaFromString("P=? [ F<=100 !\"minimum\"]"); std::unique_ptr checkResult = modelchecker.check(*formula); ASSERT_TRUE(checkResult->isHybridQuantitativeCheckResult()); checkResult->filter(storm::modelchecker::SymbolicQualitativeCheckResult(ctmc->getReachableStates(), ctmc->getInitialStates())); storm::modelchecker::HybridQuantitativeCheckResult quantitativeCheckResult1 = checkResult->asHybridQuantitativeCheckResult(); EXPECT_NEAR(5.5461254704419085E-5, quantitativeCheckResult1.getMin(), storm::settings::generalSettings().getPrecision()); EXPECT_NEAR(5.5461254704419085E-5, quantitativeCheckResult1.getMax(), storm::settings::generalSettings().getPrecision()); formula = formulaParser.parseSingleFormulaFromString("P=? [ F[100,100] !\"minimum\"]"); checkResult = modelchecker.check(*formula); ASSERT_TRUE(checkResult->isHybridQuantitativeCheckResult()); checkResult->filter(storm::modelchecker::SymbolicQualitativeCheckResult(ctmc->getReachableStates(), ctmc->getInitialStates())); storm::modelchecker::HybridQuantitativeCheckResult quantitativeCheckResult2 = checkResult->asHybridQuantitativeCheckResult(); EXPECT_NEAR(2.3397873548343415E-6, quantitativeCheckResult2.getMin(), storm::settings::generalSettings().getPrecision()); EXPECT_NEAR(2.3397873548343415E-6, quantitativeCheckResult2.getMax(), storm::settings::generalSettings().getPrecision()); formula = formulaParser.parseSingleFormulaFromString("P=? [ F[100,2000] !\"minimum\"]"); checkResult = modelchecker.check(*formula); ASSERT_TRUE(checkResult->isHybridQuantitativeCheckResult()); checkResult->filter(storm::modelchecker::SymbolicQualitativeCheckResult(ctmc->getReachableStates(), ctmc->getInitialStates())); storm::modelchecker::HybridQuantitativeCheckResult quantitativeCheckResult3 = checkResult->asHybridQuantitativeCheckResult(); EXPECT_NEAR(0.001105335651670241, quantitativeCheckResult3.getMin(), storm::settings::generalSettings().getPrecision()); EXPECT_NEAR(0.001105335651670241, quantitativeCheckResult3.getMax(), storm::settings::generalSettings().getPrecision()); formula = formulaParser.parseSingleFormulaFromString("P=? [ \"minimum\" U<=10 \"premium\"]"); checkResult = modelchecker.check(*formula); ASSERT_TRUE(checkResult->isHybridQuantitativeCheckResult()); checkResult->filter(storm::modelchecker::SymbolicQualitativeCheckResult(ctmc->getReachableStates(), ctmc->getInitialStates())); storm::modelchecker::HybridQuantitativeCheckResult quantitativeCheckResult4 = checkResult->asHybridQuantitativeCheckResult(); EXPECT_NEAR(1, quantitativeCheckResult4.getMin(), storm::settings::generalSettings().getPrecision()); EXPECT_NEAR(1, quantitativeCheckResult4.getMax(), storm::settings::generalSettings().getPrecision()); formula = formulaParser.parseSingleFormulaFromString("P=? [ !\"minimum\" U[1,inf] \"minimum\"]"); checkResult = modelchecker.check(*formula); ASSERT_TRUE(checkResult->isHybridQuantitativeCheckResult()); checkResult->filter(storm::modelchecker::SymbolicQualitativeCheckResult(ctmc->getReachableStates(), ctmc->getInitialStates())); storm::modelchecker::HybridQuantitativeCheckResult quantitativeCheckResult5 = checkResult->asHybridQuantitativeCheckResult(); EXPECT_NEAR(0, quantitativeCheckResult5.getMin(), storm::settings::generalSettings().getPrecision()); EXPECT_NEAR(0, quantitativeCheckResult5.getMax(), storm::settings::generalSettings().getPrecision()); formula = formulaParser.parseSingleFormulaFromString("P=? [ \"minimum\" U[1,inf] !\"minimum\"]"); checkResult = modelchecker.check(*formula); ASSERT_TRUE(checkResult->isHybridQuantitativeCheckResult()); checkResult->filter(storm::modelchecker::SymbolicQualitativeCheckResult(ctmc->getReachableStates(), ctmc->getInitialStates())); storm::modelchecker::HybridQuantitativeCheckResult quantitativeCheckResult6 = checkResult->asHybridQuantitativeCheckResult(); EXPECT_NEAR(0.9999999033633374, quantitativeCheckResult6.getMin(), storm::settings::generalSettings().getPrecision()); EXPECT_NEAR(0.9999999033633374, quantitativeCheckResult6.getMax(), storm::settings::generalSettings().getPrecision()); formula = formulaParser.parseSingleFormulaFromString("R=? [C<=100]"); checkResult = modelchecker.check(*formula); ASSERT_TRUE(checkResult->isHybridQuantitativeCheckResult()); checkResult->filter(storm::modelchecker::SymbolicQualitativeCheckResult(ctmc->getReachableStates(), ctmc->getInitialStates())); storm::modelchecker::HybridQuantitativeCheckResult quantitativeCheckResult7 = checkResult->asHybridQuantitativeCheckResult(); EXPECT_NEAR(0.8602815057967503, quantitativeCheckResult7.getMin(), storm::settings::generalSettings().getPrecision()); EXPECT_NEAR(0.8602815057967503, quantitativeCheckResult7.getMax(), storm::settings::generalSettings().getPrecision()); formula = formulaParser.parseSingleFormulaFromString("LRA=? [\"minimum\"]"); checkResult = modelchecker.check(*formula); checkResult->filter(storm::modelchecker::SymbolicQualitativeCheckResult(ctmc->getReachableStates(), ctmc->getInitialStates())); storm::modelchecker::HybridQuantitativeCheckResult quantitativeCheckResult8 = checkResult->asHybridQuantitativeCheckResult(); EXPECT_NEAR(0.99999766034263426, quantitativeCheckResult8.getMin(), storm::settings::generalSettings().getPrecision()); EXPECT_NEAR(0.99999766034263426, quantitativeCheckResult8.getMax(), storm::settings::generalSettings().getPrecision()); } TEST(GmmxxHybridCtmcCslModelCheckerTest, Embedded_Cudd) { // Set the PRISM compatibility mode temporarily. It is set to its old value once the returned object is destructed. std::unique_ptr enablePrismCompatibility = storm::settings::mutableGeneralSettings().overridePrismCompatibilityMode(true); // Parse the model description. storm::prism::Program program = storm::parser::PrismParser::parse(STORM_CPP_TESTS_BASE_PATH "/functional/builder/embedded2.sm"); storm::parser::FormulaParser formulaParser(program.getManager().getSharedPointer()); std::shared_ptr formula(nullptr); // Build the model. #ifdef WINDOWS storm::builder::DdPrismModelBuilder::Options options; #else typename storm::builder::DdPrismModelBuilder::Options options; #endif options.buildAllRewardModels = false; options.rewardModelsToBuild.insert("up"); std::shared_ptr> model = storm::builder::DdPrismModelBuilder().translateProgram(program, options); ASSERT_EQ(storm::models::ModelType::Ctmc, model->getType()); std::shared_ptr> ctmc = model->as>(); // Create model checker. storm::modelchecker::HybridCtmcCslModelChecker modelchecker(*ctmc, std::unique_ptr>(new storm::utility::solver::GmmxxLinearEquationSolverFactory())); // Start checking properties. formula = formulaParser.parseSingleFormulaFromString("P=? [ F<=10000 \"down\"]"); std::unique_ptr checkResult = modelchecker.check(*formula); ASSERT_TRUE(checkResult->isHybridQuantitativeCheckResult()); checkResult->filter(storm::modelchecker::SymbolicQualitativeCheckResult(ctmc->getReachableStates(), ctmc->getInitialStates())); storm::modelchecker::HybridQuantitativeCheckResult quantitativeCheckResult1 = checkResult->asHybridQuantitativeCheckResult(); EXPECT_NEAR(0.0019216435246119591, quantitativeCheckResult1.getMin(), storm::settings::generalSettings().getPrecision()); EXPECT_NEAR(0.0019216435246119591, quantitativeCheckResult1.getMax(), storm::settings::generalSettings().getPrecision()); formula = formulaParser.parseSingleFormulaFromString("P=? [ !\"down\" U<=10000 \"fail_actuators\"]"); checkResult = modelchecker.check(*formula); ASSERT_TRUE(checkResult->isHybridQuantitativeCheckResult()); checkResult->filter(storm::modelchecker::SymbolicQualitativeCheckResult(ctmc->getReachableStates(), ctmc->getInitialStates())); storm::modelchecker::HybridQuantitativeCheckResult quantitativeCheckResult2 = checkResult->asHybridQuantitativeCheckResult(); EXPECT_NEAR(3.7079151806696567E-6, quantitativeCheckResult2.getMin(), storm::settings::generalSettings().getPrecision()); EXPECT_NEAR(3.7079151806696567E-6, quantitativeCheckResult2.getMax(), storm::settings::generalSettings().getPrecision()); formula = formulaParser.parseSingleFormulaFromString("P=? [ !\"down\" U<=10000 \"fail_io\"]"); checkResult = modelchecker.check(*formula); ASSERT_TRUE(checkResult->isHybridQuantitativeCheckResult()); checkResult->filter(storm::modelchecker::SymbolicQualitativeCheckResult(ctmc->getReachableStates(), ctmc->getInitialStates())); storm::modelchecker::HybridQuantitativeCheckResult quantitativeCheckResult3 = checkResult->asHybridQuantitativeCheckResult(); EXPECT_NEAR(0.001556839327673734, quantitativeCheckResult3.getMin(), storm::settings::generalSettings().getPrecision()); EXPECT_NEAR(0.001556839327673734, quantitativeCheckResult3.getMax(), storm::settings::generalSettings().getPrecision()); formula = formulaParser.parseSingleFormulaFromString("P=? [ !\"down\" U<=10000 \"fail_sensors\"]"); checkResult = modelchecker.check(*formula); ASSERT_TRUE(checkResult->isHybridQuantitativeCheckResult()); checkResult->filter(storm::modelchecker::SymbolicQualitativeCheckResult(ctmc->getReachableStates(), ctmc->getInitialStates())); storm::modelchecker::HybridQuantitativeCheckResult quantitativeCheckResult4 = checkResult->asHybridQuantitativeCheckResult(); EXPECT_NEAR(4.429620626755424E-5, quantitativeCheckResult4.getMin(), storm::settings::generalSettings().getPrecision()); EXPECT_NEAR(4.429620626755424E-5, quantitativeCheckResult4.getMax(), storm::settings::generalSettings().getPrecision()); formula = formulaParser.parseSingleFormulaFromString("R=? [C<=10000]"); checkResult = modelchecker.check(*formula); ASSERT_TRUE(checkResult->isHybridQuantitativeCheckResult()); checkResult->filter(storm::modelchecker::SymbolicQualitativeCheckResult(ctmc->getReachableStates(), ctmc->getInitialStates())); storm::modelchecker::HybridQuantitativeCheckResult quantitativeCheckResult5 = checkResult->asHybridQuantitativeCheckResult(); EXPECT_NEAR(2.7745274082080154, quantitativeCheckResult5.getMin(), storm::settings::generalSettings().getPrecision()); EXPECT_NEAR(2.7745274082080154, quantitativeCheckResult5.getMax(), storm::settings::generalSettings().getPrecision()); formula = formulaParser.parseSingleFormulaFromString("LRA=? [\"fail_sensors\"]"); checkResult = modelchecker.check(*formula); checkResult->filter(storm::modelchecker::SymbolicQualitativeCheckResult(ctmc->getReachableStates(), ctmc->getInitialStates())); storm::modelchecker::HybridQuantitativeCheckResult quantitativeCheckResult6 = checkResult->asHybridQuantitativeCheckResult(); EXPECT_NEAR(0.934586179, quantitativeCheckResult6.getMin(), storm::settings::generalSettings().getPrecision()); EXPECT_NEAR(0.934586179, quantitativeCheckResult6.getMax(), storm::settings::generalSettings().getPrecision()); } TEST(GmmxxHybridCtmcCslModelCheckerTest, Embedded_Sylvan) { // Set the PRISM compatibility mode temporarily. It is set to its old value once the returned object is destructed. std::unique_ptr enablePrismCompatibility = storm::settings::mutableGeneralSettings().overridePrismCompatibilityMode(true); // Parse the model description. storm::prism::Program program = storm::parser::PrismParser::parse(STORM_CPP_TESTS_BASE_PATH "/functional/builder/embedded2.sm"); storm::parser::FormulaParser formulaParser(program.getManager().getSharedPointer()); std::shared_ptr formula(nullptr); // Build the model. #ifdef WINDOWS storm::builder::DdPrismModelBuilder::Options options; #else typename storm::builder::DdPrismModelBuilder::Options options; #endif options.buildAllRewardModels = false; options.rewardModelsToBuild.insert("up"); std::shared_ptr> model = storm::builder::DdPrismModelBuilder().translateProgram(program, options); ASSERT_EQ(storm::models::ModelType::Ctmc, model->getType()); std::shared_ptr> ctmc = model->as>(); // Create model checker. storm::modelchecker::HybridCtmcCslModelChecker modelchecker(*ctmc, std::unique_ptr>(new storm::utility::solver::GmmxxLinearEquationSolverFactory())); // Start checking properties. formula = formulaParser.parseSingleFormulaFromString("P=? [ F<=10000 \"down\"]"); std::unique_ptr checkResult = modelchecker.check(*formula); ASSERT_TRUE(checkResult->isHybridQuantitativeCheckResult()); checkResult->filter(storm::modelchecker::SymbolicQualitativeCheckResult(ctmc->getReachableStates(), ctmc->getInitialStates())); storm::modelchecker::HybridQuantitativeCheckResult quantitativeCheckResult1 = checkResult->asHybridQuantitativeCheckResult(); EXPECT_NEAR(0.0019216435246119591, quantitativeCheckResult1.getMin(), storm::settings::generalSettings().getPrecision()); EXPECT_NEAR(0.0019216435246119591, quantitativeCheckResult1.getMax(), storm::settings::generalSettings().getPrecision()); formula = formulaParser.parseSingleFormulaFromString("P=? [ !\"down\" U<=10000 \"fail_actuators\"]"); checkResult = modelchecker.check(*formula); ASSERT_TRUE(checkResult->isHybridQuantitativeCheckResult()); checkResult->filter(storm::modelchecker::SymbolicQualitativeCheckResult(ctmc->getReachableStates(), ctmc->getInitialStates())); storm::modelchecker::HybridQuantitativeCheckResult quantitativeCheckResult2 = checkResult->asHybridQuantitativeCheckResult(); EXPECT_NEAR(3.7079151806696567E-6, quantitativeCheckResult2.getMin(), storm::settings::generalSettings().getPrecision()); EXPECT_NEAR(3.7079151806696567E-6, quantitativeCheckResult2.getMax(), storm::settings::generalSettings().getPrecision()); formula = formulaParser.parseSingleFormulaFromString("P=? [ !\"down\" U<=10000 \"fail_io\"]"); checkResult = modelchecker.check(*formula); ASSERT_TRUE(checkResult->isHybridQuantitativeCheckResult()); checkResult->filter(storm::modelchecker::SymbolicQualitativeCheckResult(ctmc->getReachableStates(), ctmc->getInitialStates())); storm::modelchecker::HybridQuantitativeCheckResult quantitativeCheckResult3 = checkResult->asHybridQuantitativeCheckResult(); EXPECT_NEAR(0.001556839327673734, quantitativeCheckResult3.getMin(), storm::settings::generalSettings().getPrecision()); EXPECT_NEAR(0.001556839327673734, quantitativeCheckResult3.getMax(), storm::settings::generalSettings().getPrecision()); formula = formulaParser.parseSingleFormulaFromString("P=? [ !\"down\" U<=10000 \"fail_sensors\"]"); checkResult = modelchecker.check(*formula); ASSERT_TRUE(checkResult->isHybridQuantitativeCheckResult()); checkResult->filter(storm::modelchecker::SymbolicQualitativeCheckResult(ctmc->getReachableStates(), ctmc->getInitialStates())); storm::modelchecker::HybridQuantitativeCheckResult quantitativeCheckResult4 = checkResult->asHybridQuantitativeCheckResult(); EXPECT_NEAR(4.429620626755424E-5, quantitativeCheckResult4.getMin(), storm::settings::generalSettings().getPrecision()); EXPECT_NEAR(4.429620626755424E-5, quantitativeCheckResult4.getMax(), storm::settings::generalSettings().getPrecision()); formula = formulaParser.parseSingleFormulaFromString("R=? [C<=10000]"); checkResult = modelchecker.check(*formula); ASSERT_TRUE(checkResult->isHybridQuantitativeCheckResult()); checkResult->filter(storm::modelchecker::SymbolicQualitativeCheckResult(ctmc->getReachableStates(), ctmc->getInitialStates())); storm::modelchecker::HybridQuantitativeCheckResult quantitativeCheckResult5 = checkResult->asHybridQuantitativeCheckResult(); EXPECT_NEAR(2.7745274082080154, quantitativeCheckResult5.getMin(), storm::settings::generalSettings().getPrecision()); EXPECT_NEAR(2.7745274082080154, quantitativeCheckResult5.getMax(), storm::settings::generalSettings().getPrecision()); formula = formulaParser.parseSingleFormulaFromString("LRA=? [\"fail_sensors\"]"); checkResult = modelchecker.check(*formula); checkResult->filter(storm::modelchecker::SymbolicQualitativeCheckResult(ctmc->getReachableStates(), ctmc->getInitialStates())); storm::modelchecker::HybridQuantitativeCheckResult quantitativeCheckResult6 = checkResult->asHybridQuantitativeCheckResult(); EXPECT_NEAR(0.934586179, quantitativeCheckResult6.getMin(), storm::settings::generalSettings().getPrecision()); EXPECT_NEAR(0.934586179, quantitativeCheckResult6.getMax(), storm::settings::generalSettings().getPrecision()); } TEST(GmmxxHybridCtmcCslModelCheckerTest, Polling_Cudd) { // Set the PRISM compatibility mode temporarily. It is set to its old value once the returned object is destructed. std::unique_ptr enablePrismCompatibility = storm::settings::mutableGeneralSettings().overridePrismCompatibilityMode(true); // Parse the model description. storm::prism::Program program = storm::parser::PrismParser::parse(STORM_CPP_TESTS_BASE_PATH "/functional/builder/polling2.sm"); storm::parser::FormulaParser formulaParser(program.getManager().getSharedPointer()); std::shared_ptr formula(nullptr); // Build the model. std::shared_ptr> model = storm::builder::DdPrismModelBuilder().translateProgram(program); ASSERT_EQ(storm::models::ModelType::Ctmc, model->getType()); std::shared_ptr> ctmc = model->as>(); // Create model checker. storm::modelchecker::HybridCtmcCslModelChecker modelchecker(*ctmc, std::unique_ptr>(new storm::utility::solver::GmmxxLinearEquationSolverFactory())); // Start checking properties. formula = formulaParser.parseSingleFormulaFromString("P=?[ F<=10 \"target\"]"); std::unique_ptr checkResult = modelchecker.check(*formula); ASSERT_TRUE(checkResult->isHybridQuantitativeCheckResult()); checkResult->filter(storm::modelchecker::SymbolicQualitativeCheckResult(ctmc->getReachableStates(), ctmc->getInitialStates())); storm::modelchecker::HybridQuantitativeCheckResult quantitativeCheckResult1 = checkResult->asHybridQuantitativeCheckResult(); EXPECT_NEAR(1, quantitativeCheckResult1.getMin(), storm::settings::generalSettings().getPrecision()); EXPECT_NEAR(1, quantitativeCheckResult1.getMax(), storm::settings::generalSettings().getPrecision()); formula = formulaParser.parseSingleFormulaFromString("LRA=? [\"target\"]"); checkResult = modelchecker.check(*formula); checkResult->filter(storm::modelchecker::SymbolicQualitativeCheckResult(ctmc->getReachableStates(), ctmc->getInitialStates())); storm::modelchecker::HybridQuantitativeCheckResult quantitativeCheckResult2 = checkResult->asHybridQuantitativeCheckResult(); EXPECT_NEAR(0.20079750055570736, quantitativeCheckResult2.getMin(), storm::settings::generalSettings().getPrecision()); EXPECT_NEAR(0.20079750055570736, quantitativeCheckResult2.getMax(), storm::settings::generalSettings().getPrecision()); } TEST(GmmxxHybridCtmcCslModelCheckerTest, Polling_Sylvan) { // Set the PRISM compatibility mode temporarily. It is set to its old value once the returned object is destructed. std::unique_ptr enablePrismCompatibility = storm::settings::mutableGeneralSettings().overridePrismCompatibilityMode(true); // Parse the model description. storm::prism::Program program = storm::parser::PrismParser::parse(STORM_CPP_TESTS_BASE_PATH "/functional/builder/polling2.sm"); storm::parser::FormulaParser formulaParser(program.getManager().getSharedPointer()); std::shared_ptr formula(nullptr); // Build the model. std::shared_ptr> model = storm::builder::DdPrismModelBuilder().translateProgram(program); ASSERT_EQ(storm::models::ModelType::Ctmc, model->getType()); std::shared_ptr> ctmc = model->as>(); // Create model checker. storm::modelchecker::HybridCtmcCslModelChecker modelchecker(*ctmc, std::unique_ptr>(new storm::utility::solver::GmmxxLinearEquationSolverFactory())); // Start checking properties. formula = formulaParser.parseSingleFormulaFromString("P=?[ F<=10 \"target\"]"); std::unique_ptr checkResult = modelchecker.check(*formula); ASSERT_TRUE(checkResult->isHybridQuantitativeCheckResult()); checkResult->filter(storm::modelchecker::SymbolicQualitativeCheckResult(ctmc->getReachableStates(), ctmc->getInitialStates())); storm::modelchecker::HybridQuantitativeCheckResult quantitativeCheckResult1 = checkResult->asHybridQuantitativeCheckResult(); EXPECT_NEAR(1, quantitativeCheckResult1.getMin(), storm::settings::generalSettings().getPrecision()); EXPECT_NEAR(1, quantitativeCheckResult1.getMax(), storm::settings::generalSettings().getPrecision()); formula = formulaParser.parseSingleFormulaFromString("LRA=? [\"target\"]"); checkResult = modelchecker.check(*formula); checkResult->filter(storm::modelchecker::SymbolicQualitativeCheckResult(ctmc->getReachableStates(), ctmc->getInitialStates())); storm::modelchecker::HybridQuantitativeCheckResult quantitativeCheckResult2 = checkResult->asHybridQuantitativeCheckResult(); EXPECT_NEAR(0.20079750055570736, quantitativeCheckResult2.getMin(), storm::settings::generalSettings().getPrecision()); EXPECT_NEAR(0.20079750055570736, quantitativeCheckResult2.getMax(), storm::settings::generalSettings().getPrecision()); } TEST(GmmxxHybridCtmcCslModelCheckerTest, Fms) { // Set the PRISM compatibility mode temporarily. It is set to its old value once the returned object is destructed. std::unique_ptr enablePrismCompatibility = storm::settings::mutableGeneralSettings().overridePrismCompatibilityMode(true); // No properties to check at this point. } TEST(GmmxxHybridCtmcCslModelCheckerTest, Tandem_Cudd) { // Set the PRISM compatibility mode temporarily. It is set to its old value once the returned object is destructed. std::unique_ptr enablePrismCompatibility = storm::settings::mutableGeneralSettings().overridePrismCompatibilityMode(true); // Parse the model description. storm::prism::Program program = storm::parser::PrismParser::parse(STORM_CPP_TESTS_BASE_PATH "/functional/builder/tandem5.sm"); storm::parser::FormulaParser formulaParser(program.getManager().getSharedPointer()); std::shared_ptr formula(nullptr); // Build the model with the customers reward structure. #ifdef WINDOWS storm::builder::DdPrismModelBuilder::Options options; #else typename storm::builder::DdPrismModelBuilder::Options options; #endif options.buildAllRewardModels = false; options.rewardModelsToBuild.insert("customers"); std::shared_ptr> model = storm::builder::DdPrismModelBuilder().translateProgram(program, options); ASSERT_EQ(storm::models::ModelType::Ctmc, model->getType()); std::shared_ptr> ctmc = model->as>(); // Create model checker. storm::modelchecker::HybridCtmcCslModelChecker modelchecker(*ctmc, std::unique_ptr>(new storm::utility::solver::GmmxxLinearEquationSolverFactory())); // Start checking properties. formula = formulaParser.parseSingleFormulaFromString("P=? [ F<=10 \"network_full\" ]"); std::unique_ptr checkResult = modelchecker.check(*formula); ASSERT_TRUE(checkResult->isHybridQuantitativeCheckResult()); checkResult->filter(storm::modelchecker::SymbolicQualitativeCheckResult(ctmc->getReachableStates(), ctmc->getInitialStates())); storm::modelchecker::HybridQuantitativeCheckResult quantitativeCheckResult1 = checkResult->asHybridQuantitativeCheckResult(); EXPECT_NEAR(0.015446370562428037, quantitativeCheckResult1.getMin(), storm::settings::generalSettings().getPrecision()); EXPECT_NEAR(0.015446370562428037, quantitativeCheckResult1.getMax(), storm::settings::generalSettings().getPrecision()); formula = formulaParser.parseSingleFormulaFromString("P=? [ F<=10 \"first_queue_full\" ]"); checkResult = modelchecker.check(*formula); ASSERT_TRUE(checkResult->isHybridQuantitativeCheckResult()); checkResult->filter(storm::modelchecker::SymbolicQualitativeCheckResult(ctmc->getReachableStates(), ctmc->getInitialStates())); storm::modelchecker::HybridQuantitativeCheckResult quantitativeCheckResult2 = checkResult->asHybridQuantitativeCheckResult(); EXPECT_NEAR(0.999999837225515, quantitativeCheckResult2.getMin(), storm::settings::generalSettings().getPrecision()); EXPECT_NEAR(0.999999837225515, quantitativeCheckResult2.getMax(), storm::settings::generalSettings().getPrecision()); formula = formulaParser.parseSingleFormulaFromString("P=? [\"second_queue_full\" U<=1 !\"second_queue_full\"]"); checkResult = modelchecker.check(*formula); ASSERT_TRUE(checkResult->isHybridQuantitativeCheckResult()); checkResult->filter(storm::modelchecker::SymbolicQualitativeCheckResult(ctmc->getReachableStates(), ctmc->getInitialStates())); storm::modelchecker::HybridQuantitativeCheckResult quantitativeCheckResult3 = checkResult->asHybridQuantitativeCheckResult(); EXPECT_NEAR(1, quantitativeCheckResult3.getMin(), storm::settings::generalSettings().getPrecision()); EXPECT_NEAR(1, quantitativeCheckResult3.getMax(), storm::settings::generalSettings().getPrecision()); formula = formulaParser.parseSingleFormulaFromString("R=? [I=10]"); checkResult = modelchecker.check(*formula); ASSERT_TRUE(checkResult->isHybridQuantitativeCheckResult()); checkResult->filter(storm::modelchecker::SymbolicQualitativeCheckResult(ctmc->getReachableStates(), ctmc->getInitialStates())); storm::modelchecker::HybridQuantitativeCheckResult quantitativeCheckResult4 = checkResult->asHybridQuantitativeCheckResult(); EXPECT_NEAR(5.679243850315877, quantitativeCheckResult4.getMin(), storm::settings::generalSettings().getPrecision()); EXPECT_NEAR(5.679243850315877, quantitativeCheckResult4.getMax(), storm::settings::generalSettings().getPrecision()); formula = formulaParser.parseSingleFormulaFromString("R=? [C<=10]"); checkResult = modelchecker.check(*formula); ASSERT_TRUE(checkResult->isHybridQuantitativeCheckResult()); checkResult->filter(storm::modelchecker::SymbolicQualitativeCheckResult(ctmc->getReachableStates(), ctmc->getInitialStates())); storm::modelchecker::HybridQuantitativeCheckResult quantitativeCheckResult5 = checkResult->asHybridQuantitativeCheckResult(); EXPECT_NEAR(55.44792186036232, quantitativeCheckResult5.getMin(), storm::settings::generalSettings().getPrecision()); EXPECT_NEAR(55.44792186036232, quantitativeCheckResult5.getMax(), storm::settings::generalSettings().getPrecision()); formula = formulaParser.parseSingleFormulaFromString("R=? [F \"first_queue_full\"&\"second_queue_full\"]"); checkResult = modelchecker.check(*formula); ASSERT_TRUE(checkResult->isHybridQuantitativeCheckResult()); checkResult->filter(storm::modelchecker::SymbolicQualitativeCheckResult(ctmc->getReachableStates(), ctmc->getInitialStates())); storm::modelchecker::HybridQuantitativeCheckResult quantitativeCheckResult6 = checkResult->asHybridQuantitativeCheckResult(); EXPECT_NEAR(262.85103498583413, quantitativeCheckResult6.getMin(), storm::settings::generalSettings().getPrecision()); EXPECT_NEAR(262.85103498583413, quantitativeCheckResult6.getMax(), storm::settings::generalSettings().getPrecision()); formula = formulaParser.parseSingleFormulaFromString("LRA=? [\"first_queue_full\"]"); checkResult = modelchecker.check(*formula); checkResult->filter(storm::modelchecker::SymbolicQualitativeCheckResult(ctmc->getReachableStates(), ctmc->getInitialStates())); storm::modelchecker::HybridQuantitativeCheckResult quantitativeCheckResult7 = checkResult->asHybridQuantitativeCheckResult(); EXPECT_NEAR(0.9100373532, quantitativeCheckResult7.getMin(), storm::settings::generalSettings().getPrecision()); EXPECT_NEAR(0.9100373532, quantitativeCheckResult7.getMax(), storm::settings::generalSettings().getPrecision()); } TEST(GmmxxHybridCtmcCslModelCheckerTest, Tandem_Sylvan) { // Set the PRISM compatibility mode temporarily. It is set to its old value once the returned object is destructed. std::unique_ptr enablePrismCompatibility = storm::settings::mutableGeneralSettings().overridePrismCompatibilityMode(true); // Parse the model description. storm::prism::Program program = storm::parser::PrismParser::parse(STORM_CPP_TESTS_BASE_PATH "/functional/builder/tandem5.sm"); storm::parser::FormulaParser formulaParser(program.getManager().getSharedPointer()); std::shared_ptr formula(nullptr); // Build the model with the customers reward structure. #ifdef WINDOWS storm::builder::DdPrismModelBuilder::Options options; #else typename storm::builder::DdPrismModelBuilder::Options options; #endif options.buildAllRewardModels = false; options.rewardModelsToBuild.insert("customers"); std::shared_ptr> model = storm::builder::DdPrismModelBuilder().translateProgram(program, options); ASSERT_EQ(storm::models::ModelType::Ctmc, model->getType()); std::shared_ptr> ctmc = model->as>(); // Create model checker. storm::modelchecker::HybridCtmcCslModelChecker modelchecker(*ctmc, std::unique_ptr>(new storm::utility::solver::GmmxxLinearEquationSolverFactory())); // Start checking properties. formula = formulaParser.parseSingleFormulaFromString("P=? [ F<=10 \"network_full\" ]"); std::unique_ptr checkResult = modelchecker.check(*formula); ASSERT_TRUE(checkResult->isHybridQuantitativeCheckResult()); checkResult->filter(storm::modelchecker::SymbolicQualitativeCheckResult(ctmc->getReachableStates(), ctmc->getInitialStates())); storm::modelchecker::HybridQuantitativeCheckResult quantitativeCheckResult1 = checkResult->asHybridQuantitativeCheckResult(); EXPECT_NEAR(0.015446370562428037, quantitativeCheckResult1.getMin(), storm::settings::generalSettings().getPrecision()); EXPECT_NEAR(0.015446370562428037, quantitativeCheckResult1.getMax(), storm::settings::generalSettings().getPrecision()); formula = formulaParser.parseSingleFormulaFromString("P=? [ F<=10 \"first_queue_full\" ]"); checkResult = modelchecker.check(*formula); ASSERT_TRUE(checkResult->isHybridQuantitativeCheckResult()); checkResult->filter(storm::modelchecker::SymbolicQualitativeCheckResult(ctmc->getReachableStates(), ctmc->getInitialStates())); storm::modelchecker::HybridQuantitativeCheckResult quantitativeCheckResult2 = checkResult->asHybridQuantitativeCheckResult(); EXPECT_NEAR(0.999999837225515, quantitativeCheckResult2.getMin(), storm::settings::generalSettings().getPrecision()); EXPECT_NEAR(0.999999837225515, quantitativeCheckResult2.getMax(), storm::settings::generalSettings().getPrecision()); formula = formulaParser.parseSingleFormulaFromString("P=? [\"second_queue_full\" U<=1 !\"second_queue_full\"]"); checkResult = modelchecker.check(*formula); ASSERT_TRUE(checkResult->isHybridQuantitativeCheckResult()); checkResult->filter(storm::modelchecker::SymbolicQualitativeCheckResult(ctmc->getReachableStates(), ctmc->getInitialStates())); storm::modelchecker::HybridQuantitativeCheckResult quantitativeCheckResult3 = checkResult->asHybridQuantitativeCheckResult(); EXPECT_NEAR(1, quantitativeCheckResult3.getMin(), storm::settings::generalSettings().getPrecision()); EXPECT_NEAR(1, quantitativeCheckResult3.getMax(), storm::settings::generalSettings().getPrecision()); formula = formulaParser.parseSingleFormulaFromString("R=? [I=10]"); checkResult = modelchecker.check(*formula); ASSERT_TRUE(checkResult->isHybridQuantitativeCheckResult()); checkResult->filter(storm::modelchecker::SymbolicQualitativeCheckResult(ctmc->getReachableStates(), ctmc->getInitialStates())); storm::modelchecker::HybridQuantitativeCheckResult quantitativeCheckResult4 = checkResult->asHybridQuantitativeCheckResult(); EXPECT_NEAR(5.679243850315877, quantitativeCheckResult4.getMin(), storm::settings::generalSettings().getPrecision()); EXPECT_NEAR(5.679243850315877, quantitativeCheckResult4.getMax(), storm::settings::generalSettings().getPrecision()); formula = formulaParser.parseSingleFormulaFromString("R=? [C<=10]"); checkResult = modelchecker.check(*formula); ASSERT_TRUE(checkResult->isHybridQuantitativeCheckResult()); checkResult->filter(storm::modelchecker::SymbolicQualitativeCheckResult(ctmc->getReachableStates(), ctmc->getInitialStates())); storm::modelchecker::HybridQuantitativeCheckResult quantitativeCheckResult5 = checkResult->asHybridQuantitativeCheckResult(); EXPECT_NEAR(55.44792186036232, quantitativeCheckResult5.getMin(), storm::settings::generalSettings().getPrecision()); EXPECT_NEAR(55.44792186036232, quantitativeCheckResult5.getMax(), storm::settings::generalSettings().getPrecision()); formula = formulaParser.parseSingleFormulaFromString("R=? [F \"first_queue_full\"&\"second_queue_full\"]"); checkResult = modelchecker.check(*formula); ASSERT_TRUE(checkResult->isHybridQuantitativeCheckResult()); checkResult->filter(storm::modelchecker::SymbolicQualitativeCheckResult(ctmc->getReachableStates(), ctmc->getInitialStates())); storm::modelchecker::HybridQuantitativeCheckResult quantitativeCheckResult6 = checkResult->asHybridQuantitativeCheckResult(); EXPECT_NEAR(262.85103498583413, quantitativeCheckResult6.getMin(), storm::settings::generalSettings().getPrecision()); EXPECT_NEAR(262.85103498583413, quantitativeCheckResult6.getMax(), storm::settings::generalSettings().getPrecision()); formula = formulaParser.parseSingleFormulaFromString("LRA=? [\"first_queue_full\"]"); checkResult = modelchecker.check(*formula); checkResult->filter(storm::modelchecker::SymbolicQualitativeCheckResult(ctmc->getReachableStates(), ctmc->getInitialStates())); storm::modelchecker::HybridQuantitativeCheckResult quantitativeCheckResult7 = checkResult->asHybridQuantitativeCheckResult(); EXPECT_NEAR(0.9100373532, quantitativeCheckResult7.getMin(), storm::settings::generalSettings().getPrecision()); EXPECT_NEAR(0.9100373532, quantitativeCheckResult7.getMax(), storm::settings::generalSettings().getPrecision()); }