#include "gtest/gtest.h" #include "storm-config.h" #include "src/logic/Formulas.h" #include "src/utility/solver.h" #include "src/modelchecker/prctl/HybridDtmcPrctlModelChecker.h" #include "src/modelchecker/results/HybridQuantitativeCheckResult.h" #include "src/modelchecker/results/SymbolicQualitativeCheckResult.h" #include "src/modelchecker/results/SymbolicQuantitativeCheckResult.h" #include "src/parser/PrismParser.h" #include "src/builder/DdPrismModelBuilder.h" #include "src/models/symbolic/Dtmc.h" #include "src/settings/SettingsManager.h" TEST(GmmxxHybridDtmcPrctlModelCheckerTest, Die) { storm::prism::Program program = storm::parser::PrismParser::parse(STORM_CPP_TESTS_BASE_PATH "/functional/builder/die.pm"); // Build the die model with its reward model. typename storm::builder::DdPrismModelBuilder::Options options; options.buildRewards = true; options.rewardModelName = "coin_flips"; std::shared_ptr> model = storm::builder::DdPrismModelBuilder::translateProgram(program, options); EXPECT_EQ(13, model->getNumberOfStates()); EXPECT_EQ(20, model->getNumberOfTransitions()); ASSERT_EQ(model->getType(), storm::models::ModelType::Dtmc); std::shared_ptr> dtmc = model->as>(); storm::modelchecker::HybridDtmcPrctlModelChecker checker(*dtmc, std::unique_ptr>(new storm::utility::solver::GmmxxLinearEquationSolverFactory())); auto labelFormula = std::make_shared("one"); auto eventuallyFormula = std::make_shared(labelFormula); std::unique_ptr result = checker.check(*eventuallyFormula); result->filter(storm::modelchecker::SymbolicQualitativeCheckResult(model->getReachableStates(), model->getInitialStates())); storm::modelchecker::HybridQuantitativeCheckResult& quantitativeResult1 = result->asHybridQuantitativeCheckResult(); EXPECT_NEAR(1.0/6.0, quantitativeResult1.getMin(), storm::settings::gmmxxEquationSolverSettings().getPrecision()); EXPECT_NEAR(1.0/6.0, quantitativeResult1.getMax(), storm::settings::gmmxxEquationSolverSettings().getPrecision()); labelFormula = std::make_shared("two"); eventuallyFormula = std::make_shared(labelFormula); result = checker.check(*eventuallyFormula); result->filter(storm::modelchecker::SymbolicQualitativeCheckResult(model->getReachableStates(), model->getInitialStates())); storm::modelchecker::HybridQuantitativeCheckResult& quantitativeResult2 = result->asHybridQuantitativeCheckResult(); EXPECT_NEAR(1.0/6.0, quantitativeResult2.getMin(), storm::settings::gmmxxEquationSolverSettings().getPrecision()); EXPECT_NEAR(1.0/6.0, quantitativeResult2.getMax(), storm::settings::gmmxxEquationSolverSettings().getPrecision()); labelFormula = std::make_shared("three"); eventuallyFormula = std::make_shared(labelFormula); result = checker.check(*eventuallyFormula); result->filter(storm::modelchecker::SymbolicQualitativeCheckResult(model->getReachableStates(), model->getInitialStates())); storm::modelchecker::HybridQuantitativeCheckResult& quantitativeResult3 = result->asHybridQuantitativeCheckResult(); EXPECT_NEAR(1.0/6.0, quantitativeResult3.getMin(), storm::settings::gmmxxEquationSolverSettings().getPrecision()); EXPECT_NEAR(1.0/6.0, quantitativeResult3.getMax(), storm::settings::gmmxxEquationSolverSettings().getPrecision()); auto done = std::make_shared("done"); auto reachabilityRewardFormula = std::make_shared(done); result = checker.check(*reachabilityRewardFormula); result->filter(storm::modelchecker::SymbolicQualitativeCheckResult(model->getReachableStates(), model->getInitialStates())); storm::modelchecker::HybridQuantitativeCheckResult& quantitativeResult4 = result->asHybridQuantitativeCheckResult(); EXPECT_NEAR(11.0/3.0, quantitativeResult4.getMin(), storm::settings::gmmxxEquationSolverSettings().getPrecision()); EXPECT_NEAR(11.0/3.0, quantitativeResult4.getMax(), storm::settings::gmmxxEquationSolverSettings().getPrecision()); } TEST(GmmxxHybridDtmcPrctlModelCheckerTest, Crowds) { storm::prism::Program program = storm::parser::PrismParser::parse(STORM_CPP_TESTS_BASE_PATH "/functional/builder/crowds-5-5.pm"); std::shared_ptr> model = storm::builder::DdPrismModelBuilder::translateProgram(program); EXPECT_EQ(8607, model->getNumberOfStates()); EXPECT_EQ(15113, model->getNumberOfTransitions()); ASSERT_EQ(model->getType(), storm::models::ModelType::Dtmc); std::shared_ptr> dtmc = model->as>(); storm::modelchecker::HybridDtmcPrctlModelChecker checker(*dtmc, std::unique_ptr>(new storm::utility::solver::GmmxxLinearEquationSolverFactory())); auto labelFormula = std::make_shared("observe0Greater1"); auto eventuallyFormula = std::make_shared(labelFormula); std::unique_ptr result = checker.check(*eventuallyFormula); result->filter(storm::modelchecker::SymbolicQualitativeCheckResult(model->getReachableStates(), model->getInitialStates())); storm::modelchecker::HybridQuantitativeCheckResult& quantitativeResult1 = result->asHybridQuantitativeCheckResult(); EXPECT_NEAR(0.3328800375801578281, quantitativeResult1.getMin(), storm::settings::gmmxxEquationSolverSettings().getPrecision()); EXPECT_NEAR(0.3328800375801578281, quantitativeResult1.getMax(), storm::settings::gmmxxEquationSolverSettings().getPrecision()); labelFormula = std::make_shared("observeIGreater1"); eventuallyFormula = std::make_shared(labelFormula); result = checker.check(*eventuallyFormula); result->filter(storm::modelchecker::SymbolicQualitativeCheckResult(model->getReachableStates(), model->getInitialStates())); storm::modelchecker::HybridQuantitativeCheckResult& quantitativeResult2 = result->asHybridQuantitativeCheckResult(); EXPECT_NEAR(0.1522194965, quantitativeResult2.getMin(), storm::settings::gmmxxEquationSolverSettings().getPrecision()); EXPECT_NEAR(0.1522194965, quantitativeResult2.getMax(), storm::settings::gmmxxEquationSolverSettings().getPrecision()); labelFormula = std::make_shared("observeOnlyTrueSender"); eventuallyFormula = std::make_shared(labelFormula); result = checker.check(*eventuallyFormula); result->filter(storm::modelchecker::SymbolicQualitativeCheckResult(model->getReachableStates(), model->getInitialStates())); storm::modelchecker::HybridQuantitativeCheckResult& quantitativeResult3 = result->asHybridQuantitativeCheckResult(); EXPECT_NEAR(0.32153724292835045, quantitativeResult3.getMin(), storm::settings::gmmxxEquationSolverSettings().getPrecision()); EXPECT_NEAR(0.32153724292835045, quantitativeResult3.getMax(), storm::settings::gmmxxEquationSolverSettings().getPrecision()); } TEST(GmmxxHybridDtmcPrctlModelCheckerTest, SynchronousLeader) { storm::prism::Program program = storm::parser::PrismParser::parse(STORM_CPP_TESTS_BASE_PATH "/functional/builder/leader-3-5.pm"); // Build the die model with its reward model. typename storm::builder::DdPrismModelBuilder::Options options; options.buildRewards = true; options.rewardModelName = "num_rounds"; std::shared_ptr> model = storm::builder::DdPrismModelBuilder::translateProgram(program, options); EXPECT_EQ(273, model->getNumberOfStates()); EXPECT_EQ(397, model->getNumberOfTransitions()); ASSERT_EQ(model->getType(), storm::models::ModelType::Dtmc); std::shared_ptr> dtmc = model->as>(); storm::modelchecker::HybridDtmcPrctlModelChecker checker(*dtmc, std::unique_ptr>(new storm::utility::solver::GmmxxLinearEquationSolverFactory())); auto labelFormula = std::make_shared("elected"); auto eventuallyFormula = std::make_shared(labelFormula); std::unique_ptr result = checker.check(*eventuallyFormula); result->filter(storm::modelchecker::SymbolicQualitativeCheckResult(model->getReachableStates(), model->getInitialStates())); storm::modelchecker::SymbolicQuantitativeCheckResult& quantitativeResult1 = result->asSymbolicQuantitativeCheckResult(); EXPECT_NEAR(1.0, quantitativeResult1.getMin(), storm::settings::gmmxxEquationSolverSettings().getPrecision()); EXPECT_NEAR(1.0, quantitativeResult1.getMax(), storm::settings::gmmxxEquationSolverSettings().getPrecision()); labelFormula = std::make_shared("elected"); auto trueFormula = std::make_shared(true); auto boundedUntilFormula = std::make_shared(trueFormula, labelFormula, 20); result = checker.check(*boundedUntilFormula); result->filter(storm::modelchecker::SymbolicQualitativeCheckResult(model->getReachableStates(), model->getInitialStates())); storm::modelchecker::HybridQuantitativeCheckResult& quantitativeResult2 = result->asHybridQuantitativeCheckResult(); EXPECT_NEAR(0.99999989760000074, quantitativeResult2.getMin(), storm::settings::gmmxxEquationSolverSettings().getPrecision()); EXPECT_NEAR(0.99999989760000074, quantitativeResult2.getMax(), storm::settings::gmmxxEquationSolverSettings().getPrecision()); labelFormula = std::make_shared("elected"); auto reachabilityRewardFormula = std::make_shared(labelFormula); result = checker.check(*reachabilityRewardFormula); result->filter(storm::modelchecker::SymbolicQualitativeCheckResult(model->getReachableStates(), model->getInitialStates())); storm::modelchecker::HybridQuantitativeCheckResult& quantitativeResult3 = result->asHybridQuantitativeCheckResult(); EXPECT_NEAR(1.0416666666666643, quantitativeResult3.getMin(), storm::settings::gmmxxEquationSolverSettings().getPrecision()); EXPECT_NEAR(1.0416666666666643, quantitativeResult3.getMax(), storm::settings::gmmxxEquationSolverSettings().getPrecision()); }