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							159 lines
						
					
					
						
							11 KiB
						
					
					
				| #include "gtest/gtest.h" | |
| #include "storm-config.h" | |
|  | |
| #include "src/settings/SettingsManager.h" | |
| #include "src/modelchecker/prctl/SparseMdpPrctlModelChecker.h" | |
| #include "src/modelchecker/results/ExplicitQuantitativeCheckResult.h" | |
| #include "src/solver/NativeNondeterministicLinearEquationSolver.h" | |
| #include "src/parser/AutoParser.h" | |
|  | |
| TEST(SparseMdpPrctlModelCheckerTest, AsynchronousLeader) { | |
| 	std::shared_ptr<storm::models::AbstractModel<double>> abstractModel = storm::parser::AutoParser::parseModel(STORM_CPP_BASE_PATH "/examples/mdp/asynchronous_leader/leader7.tra", STORM_CPP_BASE_PATH "/examples/mdp/asynchronous_leader/leader7.lab", "", STORM_CPP_BASE_PATH "/examples/mdp/asynchronous_leader/leader7.trans.rew"); | |
| 
 | |
| 	ASSERT_EQ(abstractModel->getType(), storm::models::MDP); | |
| 
 | |
| 	std::shared_ptr<storm::models::Mdp<double>> mdp = abstractModel->as<storm::models::Mdp<double>>(); | |
| 
 | |
| 	ASSERT_EQ(2095783ull, mdp->getNumberOfStates()); | |
| 	ASSERT_EQ(7714385ull, mdp->getNumberOfTransitions()); | |
| 
 | |
| 	storm::modelchecker::SparseMdpPrctlModelChecker<double> checker(*mdp, std::shared_ptr<storm::solver::NativeNondeterministicLinearEquationSolver<double>>(new storm::solver::NativeNondeterministicLinearEquationSolver<double>())); | |
| 
 | |
|     auto labelFormula = std::make_shared<storm::logic::AtomicLabelFormula>("elected"); | |
|     auto eventuallyFormula = std::make_shared<storm::logic::EventuallyFormula>(labelFormula); | |
|     auto minProbabilityOperatorFormula = std::make_shared<storm::logic::ProbabilityOperatorFormula>(storm::logic::OptimalityType::Minimize, eventuallyFormula); | |
|      | |
|     std::unique_ptr<storm::modelchecker::CheckResult> result = checker.check(*minProbabilityOperatorFormula); | |
|     storm::modelchecker::ExplicitQuantitativeCheckResult<double> quantitativeResult1 = result->asExplicitQuantitativeCheckResult<double>(); | |
|      | |
|     EXPECT_NEAR(1.0, quantitativeResult1[0], storm::settings::nativeEquationSolverSettings().getPrecision()); | |
| 
 | |
|     auto maxProbabilityOperatorFormula = std::make_shared<storm::logic::ProbabilityOperatorFormula>(storm::logic::OptimalityType::Maximize, eventuallyFormula); | |
|      | |
| 	result = checker.check(*maxProbabilityOperatorFormula); | |
|     storm::modelchecker::ExplicitQuantitativeCheckResult<double> quantitativeResult2 = result->asExplicitQuantitativeCheckResult<double>(); | |
| 
 | |
| 	EXPECT_NEAR(1.0, quantitativeResult2[0], storm::settings::nativeEquationSolverSettings().getPrecision()); | |
| 
 | |
|     labelFormula = std::make_shared<storm::logic::AtomicLabelFormula>("elected"); | |
|     auto trueFormula = std::make_shared<storm::logic::BooleanLiteralFormula>(true); | |
|     auto boundedUntilFormula = std::make_shared<storm::logic::BoundedUntilFormula>(trueFormula, labelFormula, 25); | |
|     minProbabilityOperatorFormula = std::make_shared<storm::logic::ProbabilityOperatorFormula>(storm::logic::OptimalityType::Minimize, boundedUntilFormula); | |
| 
 | |
|     result = checker.check(*minProbabilityOperatorFormula); | |
|     storm::modelchecker::ExplicitQuantitativeCheckResult<double> quantitativeResult3 = result->asExplicitQuantitativeCheckResult<double>(); | |
|      | |
| 	EXPECT_NEAR(0.0, quantitativeResult3[0], storm::settings::nativeEquationSolverSettings().getPrecision()); | |
| 
 | |
|     maxProbabilityOperatorFormula = std::make_shared<storm::logic::ProbabilityOperatorFormula>(storm::logic::OptimalityType::Maximize, boundedUntilFormula); | |
|      | |
|     result = checker.check(*maxProbabilityOperatorFormula); | |
|     storm::modelchecker::ExplicitQuantitativeCheckResult<double> quantitativeResult4 = result->asExplicitQuantitativeCheckResult<double>(); | |
|      | |
| 	EXPECT_NEAR(0.0, quantitativeResult4[0], storm::settings::nativeEquationSolverSettings().getPrecision()); | |
| 
 | |
|     labelFormula = std::make_shared<storm::logic::AtomicLabelFormula>("elected"); | |
|     auto reachabilityRewardFormula = std::make_shared<storm::logic::ReachabilityRewardFormula>(labelFormula); | |
|     auto minRewardOperatorFormula = std::make_shared<storm::logic::RewardOperatorFormula>(storm::logic::OptimalityType::Minimize, reachabilityRewardFormula); | |
| 
 | |
| 	result = checker.check(*minRewardOperatorFormula); | |
|     storm::modelchecker::ExplicitQuantitativeCheckResult<double> quantitativeResult5 = result->asExplicitQuantitativeCheckResult<double>(); | |
| 
 | |
| 	EXPECT_NEAR(6.172433512, quantitativeResult5[0], storm::settings::nativeEquationSolverSettings().getPrecision()); | |
| 
 | |
|     auto maxRewardOperatorFormula = std::make_shared<storm::logic::RewardOperatorFormula>(storm::logic::OptimalityType::Maximize, reachabilityRewardFormula); | |
|      | |
| 	result = checker.check(*maxRewardOperatorFormula); | |
|     storm::modelchecker::ExplicitQuantitativeCheckResult<double> quantitativeResult6 = result->asExplicitQuantitativeCheckResult<double>(); | |
| 
 | |
| 	EXPECT_NEAR(6.1724344, quantitativeResult6[0], storm::settings::nativeEquationSolverSettings().getPrecision()); | |
| } | |
| 
 | |
| TEST(SparseMdpPrctlModelCheckerTest, Consensus) { | |
| 	std::shared_ptr<storm::models::AbstractModel<double>> abstractModel = storm::parser::AutoParser::parseModel(STORM_CPP_BASE_PATH "/examples/mdp/consensus/coin4_6.tra", STORM_CPP_BASE_PATH "/examples/mdp/consensus/coin4_6.lab", STORM_CPP_BASE_PATH "/examples/mdp/consensus/coin4_6.steps.state.rew", ""); | |
|      | |
| 	ASSERT_EQ(abstractModel->getType(), storm::models::MDP); | |
|      | |
| 	std::shared_ptr<storm::models::Mdp<double>> mdp = abstractModel->as<storm::models::Mdp<double>>(); | |
|      | |
| 	ASSERT_EQ(63616ull, mdp->getNumberOfStates()); | |
| 	ASSERT_EQ(213472ull, mdp->getNumberOfTransitions()); | |
|      | |
| 	storm::modelchecker::SparseMdpPrctlModelChecker<double> checker(*mdp, std::shared_ptr<storm::solver::NativeNondeterministicLinearEquationSolver<double>>(new storm::solver::NativeNondeterministicLinearEquationSolver<double>())); | |
|      | |
|     auto labelFormula = std::make_shared<storm::logic::AtomicLabelFormula>("finished"); | |
|     auto eventuallyFormula = std::make_shared<storm::logic::EventuallyFormula>(labelFormula); | |
|     auto minProbabilityOperatorFormula = std::make_shared<storm::logic::ProbabilityOperatorFormula>(storm::logic::OptimalityType::Minimize, eventuallyFormula); | |
| 
 | |
|     std::unique_ptr<storm::modelchecker::CheckResult> result = checker.check(*minProbabilityOperatorFormula); | |
|     storm::modelchecker::ExplicitQuantitativeCheckResult<double> quantitativeResult1 = result->asExplicitQuantitativeCheckResult<double>(); | |
|      | |
| 	EXPECT_NEAR(1.0, quantitativeResult1[31168], storm::settings::nativeEquationSolverSettings().getPrecision()); | |
| 
 | |
|     labelFormula = std::make_shared<storm::logic::AtomicLabelFormula>("finished"); | |
|     auto labelFormula2 = std::make_shared<storm::logic::AtomicLabelFormula>("all_coins_equal_0"); | |
|     auto andFormula = std::make_shared<storm::logic::BinaryBooleanStateFormula>(storm::logic::BinaryBooleanStateFormula::OperatorType::And, labelFormula, labelFormula2); | |
|     eventuallyFormula = std::make_shared<storm::logic::EventuallyFormula>(andFormula); | |
|     minProbabilityOperatorFormula = std::make_shared<storm::logic::ProbabilityOperatorFormula>(storm::logic::OptimalityType::Minimize, eventuallyFormula); | |
|      | |
|     result = checker.check(*minProbabilityOperatorFormula); | |
|     storm::modelchecker::ExplicitQuantitativeCheckResult<double> quantitativeResult2 = result->asExplicitQuantitativeCheckResult<double>(); | |
|      | |
| 	EXPECT_NEAR(0.4374282832, quantitativeResult2[31168], storm::settings::nativeEquationSolverSettings().getPrecision()); | |
|      | |
|     labelFormula = std::make_shared<storm::logic::AtomicLabelFormula>("finished"); | |
|     labelFormula2 = std::make_shared<storm::logic::AtomicLabelFormula>("all_coins_equal_1"); | |
|     andFormula = std::make_shared<storm::logic::BinaryBooleanStateFormula>(storm::logic::BinaryBooleanStateFormula::OperatorType::And, labelFormula, labelFormula2); | |
|     eventuallyFormula = std::make_shared<storm::logic::EventuallyFormula>(andFormula); | |
|     auto maxProbabilityOperatorFormula = std::make_shared<storm::logic::ProbabilityOperatorFormula>(storm::logic::OptimalityType::Maximize, eventuallyFormula); | |
|      | |
|     result = checker.check(*maxProbabilityOperatorFormula); | |
|     storm::modelchecker::ExplicitQuantitativeCheckResult<double> quantitativeResult3 = result->asExplicitQuantitativeCheckResult<double>(); | |
|      | |
| 	EXPECT_NEAR(0.5293286369, quantitativeResult3[31168], storm::settings::nativeEquationSolverSettings().getPrecision()); | |
| 
 | |
|     labelFormula = std::make_shared<storm::logic::AtomicLabelFormula>("finished"); | |
|     labelFormula2 = std::make_shared<storm::logic::AtomicLabelFormula>("agree"); | |
|     auto notFormula = std::make_shared<storm::logic::UnaryBooleanStateFormula>(storm::logic::UnaryBooleanStateFormula::OperatorType::Not, labelFormula2); | |
|     andFormula = std::make_shared<storm::logic::BinaryBooleanStateFormula>(storm::logic::BinaryBooleanStateFormula::OperatorType::And, labelFormula, notFormula); | |
|     eventuallyFormula = std::make_shared<storm::logic::EventuallyFormula>(andFormula); | |
|     maxProbabilityOperatorFormula = std::make_shared<storm::logic::ProbabilityOperatorFormula>(storm::logic::OptimalityType::Maximize, eventuallyFormula); | |
| 
 | |
|     result = checker.check(*maxProbabilityOperatorFormula); | |
|     storm::modelchecker::ExplicitQuantitativeCheckResult<double> quantitativeResult4 = result->asExplicitQuantitativeCheckResult<double>(); | |
|      | |
| 	EXPECT_NEAR(0.10414097, quantitativeResult4[31168], storm::settings::nativeEquationSolverSettings().getPrecision()); | |
| 
 | |
|     labelFormula = std::make_shared<storm::logic::AtomicLabelFormula>("finished"); | |
|     auto trueFormula = std::make_shared<storm::logic::BooleanLiteralFormula>(true); | |
|     auto boundedUntilFormula = std::make_shared<storm::logic::BoundedUntilFormula>(trueFormula, labelFormula, 50); | |
|     minProbabilityOperatorFormula = std::make_shared<storm::logic::ProbabilityOperatorFormula>(storm::logic::OptimalityType::Minimize, boundedUntilFormula); | |
| 
 | |
|     result = checker.check(*minProbabilityOperatorFormula); | |
|     storm::modelchecker::ExplicitQuantitativeCheckResult<double> quantitativeResult5 = result->asExplicitQuantitativeCheckResult<double>(); | |
|      | |
| 	EXPECT_NEAR(0.0, quantitativeResult5[31168], storm::settings::nativeEquationSolverSettings().getPrecision()); | |
|      | |
|     maxProbabilityOperatorFormula = std::make_shared<storm::logic::ProbabilityOperatorFormula>(storm::logic::OptimalityType::Maximize, boundedUntilFormula); | |
|      | |
|     result = checker.check(*maxProbabilityOperatorFormula); | |
|     storm::modelchecker::ExplicitQuantitativeCheckResult<double> quantitativeResult6 = result->asExplicitQuantitativeCheckResult<double>(); | |
|      | |
| 	EXPECT_NEAR(0.0, quantitativeResult6[31168], storm::settings::nativeEquationSolverSettings().getPrecision()); | |
| 
 | |
|     labelFormula = std::make_shared<storm::logic::AtomicLabelFormula>("finished"); | |
|     auto reachabilityRewardFormula = std::make_shared<storm::logic::ReachabilityRewardFormula>(labelFormula); | |
|     auto minRewardOperatorFormula = std::make_shared<storm::logic::RewardOperatorFormula>(storm::logic::OptimalityType::Minimize, reachabilityRewardFormula); | |
| 
 | |
|     result = checker.check(*minRewardOperatorFormula); | |
|     storm::modelchecker::ExplicitQuantitativeCheckResult<double> quantitativeResult7 = result->asExplicitQuantitativeCheckResult<double>(); | |
|      | |
| 	EXPECT_NEAR(1725.593313, quantitativeResult7[31168], storm::settings::nativeEquationSolverSettings().getPrecision()); | |
| 
 | |
|     auto maxRewardOperatorFormula = std::make_shared<storm::logic::RewardOperatorFormula>(storm::logic::OptimalityType::Maximize, reachabilityRewardFormula); | |
|      | |
|     result = checker.check(*maxRewardOperatorFormula); | |
|     storm::modelchecker::ExplicitQuantitativeCheckResult<double> quantitativeResult8 = result->asExplicitQuantitativeCheckResult<double>(); | |
| 
 | |
| 	EXPECT_NEAR(2183.142422, quantitativeResult8[31168], storm::settings::nativeEquationSolverSettings().getPrecision()); | |
| }
 |