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#include "gtest/gtest.h"
#include "storm-config.h"
#include "src/settings/SettingMemento.h"
#include "src/logic/Formulas.h"
#include "src/utility/solver.h"
#include "src/modelchecker/prctl/SparseDtmcPrctlModelChecker.h"
#include "src/modelchecker/results/ExplicitQuantitativeCheckResult.h"
#include "src/settings/SettingsManager.h"
#include "src/settings/SettingMemento.h"
#include "src/parser/AutoParser.h"
TEST(SparseDtmcPrctlModelCheckerTest, Die) { std::shared_ptr<storm::models::sparse::Model<double>> abstractModel = storm::parser::AutoParser::parseModel(STORM_CPP_BASE_PATH "/examples/dtmc/die/die.tra", STORM_CPP_BASE_PATH "/examples/dtmc/die/die.lab", "", STORM_CPP_BASE_PATH "/examples/dtmc/die/die.coin_flips.trans.rew"); ASSERT_EQ(abstractModel->getType(), storm::models::ModelType::Dtmc); std::shared_ptr<storm::models::sparse::Dtmc<double>> dtmc = abstractModel->as<storm::models::sparse::Dtmc<double>>(); ASSERT_EQ(dtmc->getNumberOfStates(), 13ull); ASSERT_EQ(dtmc->getNumberOfTransitions(), 20ull); storm::modelchecker::SparseDtmcPrctlModelChecker<double> checker(*dtmc, std::unique_ptr<storm::utility::solver::LinearEquationSolverFactory<double>>(new storm::utility::solver::NativeLinearEquationSolverFactory<double>())); auto labelFormula = std::make_shared<storm::logic::AtomicLabelFormula>("one"); auto eventuallyFormula = std::make_shared<storm::logic::EventuallyFormula>(labelFormula); std::unique_ptr<storm::modelchecker::CheckResult> result = checker.check(*eventuallyFormula); storm::modelchecker::ExplicitQuantitativeCheckResult<double>& quantitativeResult1 = result->asExplicitQuantitativeCheckResult<double>(); EXPECT_NEAR(1.0/6.0, quantitativeResult1[0], storm::settings::nativeEquationSolverSettings().getPrecision()); labelFormula = std::make_shared<storm::logic::AtomicLabelFormula>("two"); eventuallyFormula = std::make_shared<storm::logic::EventuallyFormula>(labelFormula); result = checker.check(*eventuallyFormula); storm::modelchecker::ExplicitQuantitativeCheckResult<double>& quantitativeResult2 = result->asExplicitQuantitativeCheckResult<double>(); EXPECT_NEAR(1.0/6.0, quantitativeResult2[0], storm::settings::nativeEquationSolverSettings().getPrecision()); labelFormula = std::make_shared<storm::logic::AtomicLabelFormula>("three"); eventuallyFormula = std::make_shared<storm::logic::EventuallyFormula>(labelFormula); result = checker.check(*eventuallyFormula); storm::modelchecker::ExplicitQuantitativeCheckResult<double>& quantitativeResult3 = result->asExplicitQuantitativeCheckResult<double>(); EXPECT_NEAR(1.0/6.0, quantitativeResult3[0], storm::settings::nativeEquationSolverSettings().getPrecision()); auto done = std::make_shared<storm::logic::AtomicLabelFormula>("done"); auto reachabilityRewardFormula = std::make_shared<storm::logic::ReachabilityRewardFormula>(done); result = checker.check(*reachabilityRewardFormula); storm::modelchecker::ExplicitQuantitativeCheckResult<double>& quantitativeResult4 = result->asExplicitQuantitativeCheckResult<double>(); EXPECT_NEAR(3.6666650772094727, quantitativeResult4[0], storm::settings::nativeEquationSolverSettings().getPrecision());}
TEST(SparseDtmcPrctlModelCheckerTest, Crowds) { std::shared_ptr<storm::models::sparse::Model<double>> abstractModel = storm::parser::AutoParser::parseModel(STORM_CPP_BASE_PATH "/examples/dtmc/crowds/crowds5_5.tra", STORM_CPP_BASE_PATH "/examples/dtmc/crowds/crowds5_5.lab", "", ""); ASSERT_EQ(abstractModel->getType(), storm::models::ModelType::Dtmc); std::shared_ptr<storm::models::sparse::Dtmc<double>> dtmc = abstractModel->as<storm::models::sparse::Dtmc<double>>(); ASSERT_EQ(8607ull, dtmc->getNumberOfStates()); ASSERT_EQ(15113ull, dtmc->getNumberOfTransitions()); storm::modelchecker::SparseDtmcPrctlModelChecker<double> checker(*dtmc, std::unique_ptr<storm::utility::solver::LinearEquationSolverFactory<double>>(new storm::utility::solver::NativeLinearEquationSolverFactory<double>())); auto labelFormula = std::make_shared<storm::logic::AtomicLabelFormula>("observe0Greater1"); auto eventuallyFormula = std::make_shared<storm::logic::EventuallyFormula>(labelFormula); std::unique_ptr<storm::modelchecker::CheckResult> result = checker.check(*eventuallyFormula); storm::modelchecker::ExplicitQuantitativeCheckResult<double>& quantitativeResult1 = result->asExplicitQuantitativeCheckResult<double>(); EXPECT_NEAR(0.33288205191646525, quantitativeResult1[0], storm::settings::nativeEquationSolverSettings().getPrecision()); labelFormula = std::make_shared<storm::logic::AtomicLabelFormula>("observeIGreater1"); eventuallyFormula = std::make_shared<storm::logic::EventuallyFormula>(labelFormula); result = checker.check(*eventuallyFormula); storm::modelchecker::ExplicitQuantitativeCheckResult<double>& quantitativeResult2 = result->asExplicitQuantitativeCheckResult<double>(); EXPECT_NEAR(0.15222066094730619, quantitativeResult2[0], storm::settings::nativeEquationSolverSettings().getPrecision()); labelFormula = std::make_shared<storm::logic::AtomicLabelFormula>("observeOnlyTrueSender"); eventuallyFormula = std::make_shared<storm::logic::EventuallyFormula>(labelFormula); result = checker.check(*eventuallyFormula); storm::modelchecker::ExplicitQuantitativeCheckResult<double>& quantitativeResult3 = result->asExplicitQuantitativeCheckResult<double>(); EXPECT_NEAR(0.32153900158185761, quantitativeResult3[0], storm::settings::nativeEquationSolverSettings().getPrecision());}
TEST(SparseDtmcPrctlModelCheckerTest, SynchronousLeader) { std::shared_ptr<storm::models::sparse::Model<double>> abstractModel = storm::parser::AutoParser::parseModel(STORM_CPP_BASE_PATH "/examples/dtmc/synchronous_leader/leader4_8.tra", STORM_CPP_BASE_PATH "/examples/dtmc/synchronous_leader/leader4_8.lab", "", STORM_CPP_BASE_PATH "/examples/dtmc/synchronous_leader/leader4_8.pick.trans.rew"); ASSERT_EQ(abstractModel->getType(), storm::models::ModelType::Dtmc); std::shared_ptr<storm::models::sparse::Dtmc<double>> dtmc = abstractModel->as<storm::models::sparse::Dtmc<double>>(); ASSERT_EQ(12400ull, dtmc->getNumberOfStates()); ASSERT_EQ(16495ull, dtmc->getNumberOfTransitions()); storm::modelchecker::SparseDtmcPrctlModelChecker<double> checker(*dtmc, std::unique_ptr<storm::utility::solver::LinearEquationSolverFactory<double>>(new storm::utility::solver::NativeLinearEquationSolverFactory<double>())); auto labelFormula = std::make_shared<storm::logic::AtomicLabelFormula>("elected"); auto eventuallyFormula = std::make_shared<storm::logic::EventuallyFormula>(labelFormula); std::unique_ptr<storm::modelchecker::CheckResult> result = checker.check(*eventuallyFormula); storm::modelchecker::ExplicitQuantitativeCheckResult<double>& quantitativeResult1 = result->asExplicitQuantitativeCheckResult<double>(); EXPECT_NEAR(1.0, quantitativeResult1[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, 20); result = checker.check(*boundedUntilFormula); storm::modelchecker::ExplicitQuantitativeCheckResult<double>& quantitativeResult2 = result->asExplicitQuantitativeCheckResult<double>(); EXPECT_NEAR(0.9999965911265462636, quantitativeResult2[0], storm::settings::nativeEquationSolverSettings().getPrecision()); labelFormula = std::make_shared<storm::logic::AtomicLabelFormula>("elected"); auto reachabilityRewardFormula = std::make_shared<storm::logic::ReachabilityRewardFormula>(labelFormula); result = checker.check(*reachabilityRewardFormula); storm::modelchecker::ExplicitQuantitativeCheckResult<double>& quantitativeResult3 = result->asExplicitQuantitativeCheckResult<double>(); EXPECT_NEAR(1.0448979589010925, quantitativeResult3[0], storm::settings::nativeEquationSolverSettings().getPrecision());}
TEST(SparseDtmcPrctlModelCheckerTest, LRASingleBscc) { storm::storage::SparseMatrixBuilder<double> matrixBuilder; std::shared_ptr<storm::models::sparse::Dtmc<double>> dtmc;
{ matrixBuilder = storm::storage::SparseMatrixBuilder<double>(2, 2, 2); matrixBuilder.addNextValue(0, 1, 1.); matrixBuilder.addNextValue(1, 0, 1.); storm::storage::SparseMatrix<double> transitionMatrix = matrixBuilder.build();
storm::models::sparse::StateLabeling ap(2); ap.addLabel("a"); ap.addLabelToState("a", 1);
dtmc.reset(new storm::models::sparse::Dtmc<double>(transitionMatrix, ap, boost::none, boost::none, boost::none));
storm::modelchecker::SparseDtmcPrctlModelChecker<double> checker(*dtmc, std::unique_ptr<storm::utility::solver::LinearEquationSolverFactory<double>>(new storm::utility::solver::NativeLinearEquationSolverFactory<double>(storm::solver::NativeLinearEquationSolver<double>::SolutionMethod::SOR, 0.9)));
auto labelFormula = std::make_shared<storm::logic::AtomicLabelFormula>("a"); auto lraFormula = std::make_shared<storm::logic::LongRunAverageOperatorFormula>(labelFormula);
std::unique_ptr<storm::modelchecker::CheckResult> result = std::move(checker.check(*lraFormula)); storm::modelchecker::ExplicitQuantitativeCheckResult<double>& quantitativeResult1 = result->asExplicitQuantitativeCheckResult<double>();
EXPECT_NEAR(.5, quantitativeResult1[0], storm::settings::nativeEquationSolverSettings().getPrecision()); EXPECT_NEAR(.5, quantitativeResult1[1], storm::settings::nativeEquationSolverSettings().getPrecision()); } { matrixBuilder = storm::storage::SparseMatrixBuilder<double>(2, 2, 4); matrixBuilder.addNextValue(0, 0, .5); matrixBuilder.addNextValue(0, 1, .5); matrixBuilder.addNextValue(1, 0, .5); matrixBuilder.addNextValue(1, 1, .5); storm::storage::SparseMatrix<double> transitionMatrix = matrixBuilder.build();
storm::models::sparse::StateLabeling ap(2); ap.addLabel("a"); ap.addLabelToState("a", 1);
dtmc.reset(new storm::models::sparse::Dtmc<double>(transitionMatrix, ap, boost::none, boost::none, boost::none));
storm::modelchecker::SparseDtmcPrctlModelChecker<double> checker(*dtmc, std::unique_ptr<storm::utility::solver::LinearEquationSolverFactory<double>>(new storm::utility::solver::NativeLinearEquationSolverFactory<double>(storm::solver::NativeLinearEquationSolver<double>::SolutionMethod::SOR, 0.9)));
auto labelFormula = std::make_shared<storm::logic::AtomicLabelFormula>("a"); auto lraFormula = std::make_shared<storm::logic::LongRunAverageOperatorFormula>(labelFormula);
std::unique_ptr<storm::modelchecker::CheckResult> result = std::move(checker.check(*lraFormula)); storm::modelchecker::ExplicitQuantitativeCheckResult<double>& quantitativeResult1 = result->asExplicitQuantitativeCheckResult<double>();
EXPECT_NEAR(.5, quantitativeResult1[0], storm::settings::nativeEquationSolverSettings().getPrecision()); EXPECT_NEAR(.5, quantitativeResult1[1], storm::settings::nativeEquationSolverSettings().getPrecision()); }
{ matrixBuilder = storm::storage::SparseMatrixBuilder<double>(3, 3, 3); matrixBuilder.addNextValue(0, 1, 1); matrixBuilder.addNextValue(1, 2, 1); matrixBuilder.addNextValue(2, 0, 1); storm::storage::SparseMatrix<double> transitionMatrix = matrixBuilder.build();
storm::models::sparse::StateLabeling ap(3); ap.addLabel("a"); ap.addLabelToState("a", 2);
dtmc.reset(new storm::models::sparse::Dtmc<double>(transitionMatrix, ap, boost::none, boost::none, boost::none));
storm::modelchecker::SparseDtmcPrctlModelChecker<double> checker(*dtmc, std::unique_ptr<storm::utility::solver::LinearEquationSolverFactory<double>>(new storm::utility::solver::NativeLinearEquationSolverFactory<double>(storm::solver::NativeLinearEquationSolver<double>::SolutionMethod::SOR, 0.9)));
auto labelFormula = std::make_shared<storm::logic::AtomicLabelFormula>("a"); auto lraFormula = std::make_shared<storm::logic::LongRunAverageOperatorFormula>(labelFormula);
std::unique_ptr<storm::modelchecker::CheckResult> result = std::move(checker.check(*lraFormula)); storm::modelchecker::ExplicitQuantitativeCheckResult<double>& quantitativeResult1 = result->asExplicitQuantitativeCheckResult<double>();
EXPECT_NEAR(1. / 3., quantitativeResult1[0], storm::settings::nativeEquationSolverSettings().getPrecision()); EXPECT_NEAR(1. / 3., quantitativeResult1[1], storm::settings::nativeEquationSolverSettings().getPrecision()); EXPECT_NEAR(1. / 3., quantitativeResult1[2], storm::settings::nativeEquationSolverSettings().getPrecision()); }}
TEST(SparseDtmcPrctlModelCheckerTest, LRA) { storm::storage::SparseMatrixBuilder<double> matrixBuilder; std::shared_ptr<storm::models::sparse::Dtmc<double>> mdp;
{ matrixBuilder = storm::storage::SparseMatrixBuilder<double>(15, 15, 20, true); matrixBuilder.addNextValue(0, 1, 1); matrixBuilder.addNextValue(1, 4, 0.7); matrixBuilder.addNextValue(1, 6, 0.3); matrixBuilder.addNextValue(2, 0, 1);
matrixBuilder.addNextValue(3, 5, 0.8); matrixBuilder.addNextValue(3, 9, 0.2); matrixBuilder.addNextValue(4, 3, 1); matrixBuilder.addNextValue(5, 3, 1);
matrixBuilder.addNextValue(6, 7, 1); matrixBuilder.addNextValue(7, 8, 1); matrixBuilder.addNextValue(8, 6, 1);
matrixBuilder.addNextValue(9, 10, 1); matrixBuilder.addNextValue(10, 9, 1); matrixBuilder.addNextValue(11, 9, 1);
matrixBuilder.addNextValue(12, 5, 0.4); matrixBuilder.addNextValue(12, 8, 0.3); matrixBuilder.addNextValue(12, 11, 0.3);
matrixBuilder.addNextValue(13, 7, 0.7); matrixBuilder.addNextValue(13, 12, 0.3);
matrixBuilder.addNextValue(14, 12, 1);
storm::storage::SparseMatrix<double> transitionMatrix = matrixBuilder.build();
storm::models::sparse::StateLabeling ap(15); ap.addLabel("a"); ap.addLabelToState("a", 1); ap.addLabelToState("a", 4); ap.addLabelToState("a", 5); ap.addLabelToState("a", 7); ap.addLabelToState("a", 11); ap.addLabelToState("a", 13); ap.addLabelToState("a", 14);
mdp.reset(new storm::models::sparse::Dtmc<double>(transitionMatrix, ap, boost::none, boost::none, boost::none));
storm::modelchecker::SparseDtmcPrctlModelChecker<double> checker(*mdp, std::unique_ptr<storm::utility::solver::LinearEquationSolverFactory<double>>(new storm::utility::solver::NativeLinearEquationSolverFactory<double>(storm::solver::NativeLinearEquationSolver<double>::SolutionMethod::SOR, 0.9)));
auto labelFormula = std::make_shared<storm::logic::AtomicLabelFormula>("a"); auto lraFormula = std::make_shared<storm::logic::LongRunAverageOperatorFormula>(labelFormula);
std::unique_ptr<storm::modelchecker::CheckResult> result = std::move(checker.check(*lraFormula)); storm::modelchecker::ExplicitQuantitativeCheckResult<double>& quantitativeResult1 = result->asExplicitQuantitativeCheckResult<double>();
EXPECT_NEAR(0.3 / 3., quantitativeResult1[0], storm::settings::nativeEquationSolverSettings().getPrecision()); EXPECT_NEAR(0.0, quantitativeResult1[3], storm::settings::nativeEquationSolverSettings().getPrecision()); EXPECT_NEAR(1. / 3., quantitativeResult1[6], storm::settings::nativeEquationSolverSettings().getPrecision()); EXPECT_NEAR(0.0, quantitativeResult1[9], storm::settings::nativeEquationSolverSettings().getPrecision()); EXPECT_NEAR(0.3/3., quantitativeResult1[12], storm::settings::nativeEquationSolverSettings().getPrecision()); EXPECT_NEAR(.79 / 3., quantitativeResult1[13], storm::settings::nativeEquationSolverSettings().getPrecision()); EXPECT_NEAR(0.3 / 3., quantitativeResult1[14], storm::settings::nativeEquationSolverSettings().getPrecision()); }}
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