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#include "gtest/gtest.h"
#include "storm-config.h"
#include "src/logic/Formulas.h"
#include "src/utility/solver.h"
#include "src/modelchecker/prctl/SparseMdpPrctlModelChecker.h"
#include "src/modelchecker/results/ExplicitQuantitativeCheckResult.h"
#include "src/settings/SettingsManager.h"
#include "src/settings/modules/GeneralSettings.h"
#include "src/settings/modules/NativeEquationSolverSettings.h"
#include "src/parser/AutoParser.h"
TEST(SparseMdpPrctlModelCheckerTest, Dice) { std::shared_ptr<storm::models::sparse::Model<double>> abstractModel = storm::parser::AutoParser::parseModel(STORM_CPP_BASE_PATH "/examples/mdp/two_dice/two_dice.tra", STORM_CPP_BASE_PATH "/examples/mdp/two_dice/two_dice.lab", "", STORM_CPP_BASE_PATH "/examples/mdp/two_dice/two_dice.flip.trans.rew"); ASSERT_EQ(abstractModel->getType(), storm::models::ModelType::Mdp); std::shared_ptr<storm::models::sparse::Mdp<double>> mdp = abstractModel->as<storm::models::sparse::Mdp<double>>(); ASSERT_EQ(mdp->getNumberOfStates(), 169ull); ASSERT_EQ(mdp->getNumberOfTransitions(), 436ull); storm::modelchecker::SparseMdpPrctlModelChecker<double> checker(*mdp, std::unique_ptr<storm::utility::solver::MinMaxLinearEquationSolverFactory<double>>(new storm::utility::solver::NativeMinMaxLinearEquationSolverFactory<double>())); auto labelFormula = std::make_shared<storm::logic::AtomicLabelFormula>("two"); 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(0.0277777612209320068, 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(0.0277777612209320068, quantitativeResult2[0], storm::settings::nativeEquationSolverSettings().getPrecision()); labelFormula = std::make_shared<storm::logic::AtomicLabelFormula>("three"); eventuallyFormula = std::make_shared<storm::logic::EventuallyFormula>(labelFormula); minProbabilityOperatorFormula = std::make_shared<storm::logic::ProbabilityOperatorFormula>(storm::logic::OptimalityType::Minimize, eventuallyFormula); result = checker.check(*minProbabilityOperatorFormula); storm::modelchecker::ExplicitQuantitativeCheckResult<double>& quantitativeResult3 = result->asExplicitQuantitativeCheckResult<double>(); EXPECT_NEAR(0.0555555224418640136, quantitativeResult3[0], storm::settings::nativeEquationSolverSettings().getPrecision()); 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(0.0555555224418640136, quantitativeResult4[0], storm::settings::nativeEquationSolverSettings().getPrecision()); labelFormula = std::make_shared<storm::logic::AtomicLabelFormula>("four"); eventuallyFormula = std::make_shared<storm::logic::EventuallyFormula>(labelFormula); minProbabilityOperatorFormula = std::make_shared<storm::logic::ProbabilityOperatorFormula>(storm::logic::OptimalityType::Minimize, eventuallyFormula); result = checker.check(*minProbabilityOperatorFormula); storm::modelchecker::ExplicitQuantitativeCheckResult<double>& quantitativeResult5 = result->asExplicitQuantitativeCheckResult<double>(); EXPECT_NEAR(0.083333283662796020508, quantitativeResult5[0], storm::settings::nativeEquationSolverSettings().getPrecision());
maxProbabilityOperatorFormula = std::make_shared<storm::logic::ProbabilityOperatorFormula>(storm::logic::OptimalityType::Maximize, eventuallyFormula); result = checker.check(*maxProbabilityOperatorFormula); storm::modelchecker::ExplicitQuantitativeCheckResult<double>& quantitativeResult6 = result->asExplicitQuantitativeCheckResult<double>(); EXPECT_NEAR(0.083333283662796020508, quantitativeResult6[0], storm::settings::nativeEquationSolverSettings().getPrecision());
labelFormula = std::make_shared<storm::logic::AtomicLabelFormula>("done"); 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(7.333329499, quantitativeResult7[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>& quantitativeResult8 = result->asExplicitQuantitativeCheckResult<double>(); EXPECT_NEAR(7.333329499, quantitativeResult8[0], storm::settings::nativeEquationSolverSettings().getPrecision()); abstractModel = storm::parser::AutoParser::parseModel(STORM_CPP_BASE_PATH "/examples/mdp/two_dice/two_dice.tra", STORM_CPP_BASE_PATH "/examples/mdp/two_dice/two_dice.lab", STORM_CPP_BASE_PATH "/examples/mdp/two_dice/two_dice.flip.state.rew", ""); ASSERT_EQ(abstractModel->getType(), storm::models::ModelType::Mdp); std::shared_ptr<storm::models::sparse::Mdp<double>> stateRewardMdp = abstractModel->as<storm::models::sparse::Mdp<double>>(); storm::modelchecker::SparseMdpPrctlModelChecker<double> stateRewardModelChecker(*stateRewardMdp, std::unique_ptr<storm::utility::solver::MinMaxLinearEquationSolverFactory<double>>(new storm::utility::solver::NativeMinMaxLinearEquationSolverFactory<double>()));
labelFormula = std::make_shared<storm::logic::AtomicLabelFormula>("done"); reachabilityRewardFormula = std::make_shared<storm::logic::ReachabilityRewardFormula>(labelFormula); minRewardOperatorFormula = std::make_shared<storm::logic::RewardOperatorFormula>(storm::logic::OptimalityType::Minimize, reachabilityRewardFormula);
result = stateRewardModelChecker.check(*minRewardOperatorFormula); storm::modelchecker::ExplicitQuantitativeCheckResult<double>& quantitativeResult9 = result->asExplicitQuantitativeCheckResult<double>();
EXPECT_NEAR(7.333329499, quantitativeResult9[0], storm::settings::nativeEquationSolverSettings().getPrecision());
maxRewardOperatorFormula = std::make_shared<storm::logic::RewardOperatorFormula>(storm::logic::OptimalityType::Maximize, reachabilityRewardFormula); result = stateRewardModelChecker.check(*maxRewardOperatorFormula); storm::modelchecker::ExplicitQuantitativeCheckResult<double>& quantitativeResult10 = result->asExplicitQuantitativeCheckResult<double>();
EXPECT_NEAR(7.333329499, quantitativeResult10[0], storm::settings::nativeEquationSolverSettings().getPrecision()); abstractModel = storm::parser::AutoParser::parseModel(STORM_CPP_BASE_PATH "/examples/mdp/two_dice/two_dice.tra", STORM_CPP_BASE_PATH "/examples/mdp/two_dice/two_dice.lab", STORM_CPP_BASE_PATH "/examples/mdp/two_dice/two_dice.flip.state.rew", STORM_CPP_BASE_PATH "/examples/mdp/two_dice/two_dice.flip.trans.rew"); ASSERT_EQ(abstractModel->getType(), storm::models::ModelType::Mdp); std::shared_ptr<storm::models::sparse::Mdp<double>> stateAndTransitionRewardMdp = abstractModel->as<storm::models::sparse::Mdp<double>>(); storm::modelchecker::SparseMdpPrctlModelChecker<double> stateAndTransitionRewardModelChecker(*stateAndTransitionRewardMdp, std::unique_ptr<storm::utility::solver::MinMaxLinearEquationSolverFactory<double>>(new storm::utility::solver::NativeMinMaxLinearEquationSolverFactory<double>())); labelFormula = std::make_shared<storm::logic::AtomicLabelFormula>("done"); reachabilityRewardFormula = std::make_shared<storm::logic::ReachabilityRewardFormula>(labelFormula); minRewardOperatorFormula = std::make_shared<storm::logic::RewardOperatorFormula>(storm::logic::OptimalityType::Minimize, reachabilityRewardFormula); result = stateAndTransitionRewardModelChecker.check(*minRewardOperatorFormula); storm::modelchecker::ExplicitQuantitativeCheckResult<double>& quantitativeResult11 = result->asExplicitQuantitativeCheckResult<double>(); EXPECT_NEAR(14.666658998, quantitativeResult11[0], storm::settings::nativeEquationSolverSettings().getPrecision());
maxRewardOperatorFormula = std::make_shared<storm::logic::RewardOperatorFormula>(storm::logic::OptimalityType::Maximize, reachabilityRewardFormula);
result = stateAndTransitionRewardModelChecker.check(*maxRewardOperatorFormula); storm::modelchecker::ExplicitQuantitativeCheckResult<double>& quantitativeResult12 = result->asExplicitQuantitativeCheckResult<double>();
EXPECT_NEAR(14.666658998, quantitativeResult12[0], storm::settings::nativeEquationSolverSettings().getPrecision());}
TEST(SparseMdpPrctlModelCheckerTest, AsynchronousLeader) { std::shared_ptr<storm::models::sparse::Model<double>> abstractModel = storm::parser::AutoParser::parseModel(STORM_CPP_BASE_PATH "/examples/mdp/asynchronous_leader/leader4.tra", STORM_CPP_BASE_PATH "/examples/mdp/asynchronous_leader/leader4.lab", "", STORM_CPP_BASE_PATH "/examples/mdp/asynchronous_leader/leader4.trans.rew");
ASSERT_EQ(storm::models::ModelType::Mdp, abstractModel->getType());
std::shared_ptr<storm::models::sparse::Mdp<double>> mdp = abstractModel->as<storm::models::sparse::Mdp<double>>();
ASSERT_EQ(3172ull, mdp->getNumberOfStates()); ASSERT_EQ(7144ull, mdp->getNumberOfTransitions());
storm::modelchecker::SparseMdpPrctlModelChecker<double> checker(*mdp, std::unique_ptr<storm::utility::solver::MinMaxLinearEquationSolverFactory<double>>(new storm::utility::solver::NativeMinMaxLinearEquationSolverFactory<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, 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, 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(0.0625, 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(0.0625, 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(4.285689611, 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(4.285689611, quantitativeResult6[0], storm::settings::nativeEquationSolverSettings().getPrecision());}
TEST(SparseMdpPrctlModelCheckerTest, LRA_SingleMec) { storm::storage::SparseMatrixBuilder<double> matrixBuilder; std::shared_ptr<storm::models::sparse::Mdp<double>> mdp;
{ 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);
mdp.reset(new storm::models::sparse::Mdp<double>(transitionMatrix, ap, boost::none, boost::none, boost::none));
storm::modelchecker::SparseMdpPrctlModelChecker<double> checker(*mdp, std::unique_ptr<storm::utility::solver::MinMaxLinearEquationSolverFactory<double>>(new storm::utility::solver::NativeMinMaxLinearEquationSolverFactory<double>()));
auto labelFormula = std::make_shared<storm::logic::AtomicLabelFormula>("a"); auto lraFormula = std::make_shared<storm::logic::LongRunAverageOperatorFormula>(storm::logic::OptimalityType::Maximize, 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());
lraFormula = std::make_shared<storm::logic::LongRunAverageOperatorFormula>(storm::logic::OptimalityType::Minimize, labelFormula);
result = std::move(checker.check(*lraFormula)); storm::modelchecker::ExplicitQuantitativeCheckResult<double>& quantitativeResult2 = result->asExplicitQuantitativeCheckResult<double>();
EXPECT_NEAR(.5, quantitativeResult2[0], storm::settings::nativeEquationSolverSettings().getPrecision()); EXPECT_NEAR(.5, quantitativeResult2[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);
mdp.reset(new storm::models::sparse::Mdp<double>(transitionMatrix, ap, boost::none, boost::none, boost::none));
storm::modelchecker::SparseMdpPrctlModelChecker<double> checker(*mdp, std::unique_ptr<storm::utility::solver::MinMaxLinearEquationSolverFactory<double>>(new storm::utility::solver::NativeMinMaxLinearEquationSolverFactory<double>()));
auto labelFormula = std::make_shared<storm::logic::AtomicLabelFormula>("a"); auto lraFormula = std::make_shared<storm::logic::LongRunAverageOperatorFormula>(storm::logic::OptimalityType::Maximize, 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());
lraFormula = std::make_shared<storm::logic::LongRunAverageOperatorFormula>(storm::logic::OptimalityType::Minimize, labelFormula);
result = std::move(checker.check(*lraFormula)); storm::modelchecker::ExplicitQuantitativeCheckResult<double>& quantitativeResult2 = result->asExplicitQuantitativeCheckResult<double>();
EXPECT_NEAR(.5, quantitativeResult2[0], storm::settings::nativeEquationSolverSettings().getPrecision()); EXPECT_NEAR(.5, quantitativeResult2[1], storm::settings::nativeEquationSolverSettings().getPrecision()); }
{ matrixBuilder = storm::storage::SparseMatrixBuilder<double>(4, 3, 4, true, true, 3); matrixBuilder.newRowGroup(0); matrixBuilder.addNextValue(0, 1, 1); matrixBuilder.newRowGroup(1); matrixBuilder.addNextValue(1, 0, 1); matrixBuilder.addNextValue(2, 2, 1); matrixBuilder.newRowGroup(3); matrixBuilder.addNextValue(3, 0, 1); storm::storage::SparseMatrix<double> transitionMatrix = matrixBuilder.build();
storm::models::sparse::StateLabeling ap(3); ap.addLabel("a"); ap.addLabelToState("a", 2); ap.addLabel("b"); ap.addLabelToState("b", 0); ap.addLabel("c"); ap.addLabelToState("c", 0); ap.addLabelToState("c", 2);
mdp.reset(new storm::models::sparse::Mdp<double>(transitionMatrix, ap, boost::none, boost::none, boost::none));
storm::modelchecker::SparseMdpPrctlModelChecker<double> checker(*mdp, std::unique_ptr<storm::utility::solver::MinMaxLinearEquationSolverFactory<double>>(new storm::utility::solver::NativeMinMaxLinearEquationSolverFactory<double>()));
auto labelFormula = std::make_shared<storm::logic::AtomicLabelFormula>("a"); auto lraFormula = std::make_shared<storm::logic::LongRunAverageOperatorFormula>(storm::logic::OptimalityType::Maximize, 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());
lraFormula = std::make_shared<storm::logic::LongRunAverageOperatorFormula>(storm::logic::OptimalityType::Minimize, labelFormula);
result = std::move(checker.check(*lraFormula)); storm::modelchecker::ExplicitQuantitativeCheckResult<double>& quantitativeResult2 = result->asExplicitQuantitativeCheckResult<double>();
EXPECT_NEAR(0.0, quantitativeResult2[0], storm::settings::nativeEquationSolverSettings().getPrecision()); EXPECT_NEAR(0.0, quantitativeResult2[1], storm::settings::nativeEquationSolverSettings().getPrecision()); EXPECT_NEAR(0.0, quantitativeResult2[2], storm::settings::nativeEquationSolverSettings().getPrecision());
labelFormula = std::make_shared<storm::logic::AtomicLabelFormula>("b"); lraFormula = std::make_shared<storm::logic::LongRunAverageOperatorFormula>(storm::logic::OptimalityType::Maximize, labelFormula);
result = std::move(checker.check(*lraFormula)); storm::modelchecker::ExplicitQuantitativeCheckResult<double>& quantitativeResult3 = result->asExplicitQuantitativeCheckResult<double>();
EXPECT_NEAR(0.5, quantitativeResult3[0], storm::settings::nativeEquationSolverSettings().getPrecision()); EXPECT_NEAR(0.5, quantitativeResult3[1], storm::settings::nativeEquationSolverSettings().getPrecision()); EXPECT_NEAR(0.5, quantitativeResult3[2], storm::settings::nativeEquationSolverSettings().getPrecision());
lraFormula = std::make_shared<storm::logic::LongRunAverageOperatorFormula>(storm::logic::OptimalityType::Minimize, labelFormula);
result = std::move(checker.check(*lraFormula)); storm::modelchecker::ExplicitQuantitativeCheckResult<double>& quantitativeResult4 = result->asExplicitQuantitativeCheckResult<double>();
EXPECT_NEAR(1. / 3., quantitativeResult4[0], storm::settings::nativeEquationSolverSettings().getPrecision()); EXPECT_NEAR(1. / 3., quantitativeResult4[1], storm::settings::nativeEquationSolverSettings().getPrecision()); EXPECT_NEAR(1. / 3., quantitativeResult4[2], storm::settings::nativeEquationSolverSettings().getPrecision());
labelFormula = std::make_shared<storm::logic::AtomicLabelFormula>("c"); lraFormula = std::make_shared<storm::logic::LongRunAverageOperatorFormula>(storm::logic::OptimalityType::Maximize, labelFormula);
result = std::move(checker.check(*lraFormula)); storm::modelchecker::ExplicitQuantitativeCheckResult<double>& quantitativeResult5 = result->asExplicitQuantitativeCheckResult<double>();
EXPECT_NEAR(2. / 3., quantitativeResult5[0], storm::settings::nativeEquationSolverSettings().getPrecision()); EXPECT_NEAR(2. / 3., quantitativeResult5[1], storm::settings::nativeEquationSolverSettings().getPrecision()); EXPECT_NEAR(2. / 3., quantitativeResult5[2], storm::settings::nativeEquationSolverSettings().getPrecision());
lraFormula = std::make_shared<storm::logic::LongRunAverageOperatorFormula>(storm::logic::OptimalityType::Minimize, labelFormula);
result = std::move(checker.check(*lraFormula)); storm::modelchecker::ExplicitQuantitativeCheckResult<double>& quantitativeResult6 = result->asExplicitQuantitativeCheckResult<double>();
EXPECT_NEAR(0.5, quantitativeResult6[0], storm::settings::nativeEquationSolverSettings().getPrecision()); EXPECT_NEAR(0.5, quantitativeResult6[1], storm::settings::nativeEquationSolverSettings().getPrecision()); EXPECT_NEAR(0.5, quantitativeResult6[2], storm::settings::nativeEquationSolverSettings().getPrecision()); }}
TEST(SparseMdpPrctlModelCheckerTest, LRA) { storm::storage::SparseMatrixBuilder<double> matrixBuilder; std::shared_ptr<storm::models::sparse::Mdp<double>> mdp;
{ matrixBuilder = storm::storage::SparseMatrixBuilder<double>(4, 3, 4, true, true, 3); matrixBuilder.newRowGroup(0); matrixBuilder.addNextValue(0, 1, 1); matrixBuilder.newRowGroup(1); matrixBuilder.addNextValue(1, 1, 1); matrixBuilder.addNextValue(2, 2, 1); matrixBuilder.newRowGroup(3); matrixBuilder.addNextValue(3, 2, 1); storm::storage::SparseMatrix<double> transitionMatrix = matrixBuilder.build();
storm::models::sparse::StateLabeling ap(3); ap.addLabel("a"); ap.addLabelToState("a", 0); ap.addLabel("b"); ap.addLabelToState("b", 1); ap.addLabel("c"); ap.addLabelToState("c", 2);
mdp.reset(new storm::models::sparse::Mdp<double>(transitionMatrix, ap, boost::none, boost::none, boost::none));
storm::modelchecker::SparseMdpPrctlModelChecker<double> checker(*mdp, std::unique_ptr<storm::utility::solver::MinMaxLinearEquationSolverFactory<double>>(new storm::utility::solver::NativeMinMaxLinearEquationSolverFactory<double>()));
auto labelFormula = std::make_shared<storm::logic::AtomicLabelFormula>("a"); auto lraFormula = std::make_shared<storm::logic::LongRunAverageOperatorFormula>(storm::logic::OptimalityType::Maximize, labelFormula);
std::unique_ptr<storm::modelchecker::CheckResult> result = std::move(checker.check(*lraFormula)); storm::modelchecker::ExplicitQuantitativeCheckResult<double>& quantitativeResult1 = result->asExplicitQuantitativeCheckResult<double>();
EXPECT_NEAR(0.0, quantitativeResult1[0], storm::settings::nativeEquationSolverSettings().getPrecision()); EXPECT_NEAR(0.0, quantitativeResult1[1], storm::settings::nativeEquationSolverSettings().getPrecision()); EXPECT_NEAR(0.0, quantitativeResult1[2], storm::settings::nativeEquationSolverSettings().getPrecision());
lraFormula = std::make_shared<storm::logic::LongRunAverageOperatorFormula>(storm::logic::OptimalityType::Minimize, labelFormula);
result = std::move(checker.check(*lraFormula)); storm::modelchecker::ExplicitQuantitativeCheckResult<double>& quantitativeResult2 = result->asExplicitQuantitativeCheckResult<double>();
EXPECT_NEAR(0.0, quantitativeResult2[0], storm::settings::nativeEquationSolverSettings().getPrecision()); EXPECT_NEAR(0.0, quantitativeResult2[1], storm::settings::nativeEquationSolverSettings().getPrecision()); EXPECT_NEAR(0.0, quantitativeResult2[2], storm::settings::nativeEquationSolverSettings().getPrecision());
labelFormula = std::make_shared<storm::logic::AtomicLabelFormula>("b"); lraFormula = std::make_shared<storm::logic::LongRunAverageOperatorFormula>(storm::logic::OptimalityType::Maximize, labelFormula);
result = std::move(checker.check(*lraFormula)); storm::modelchecker::ExplicitQuantitativeCheckResult<double>& quantitativeResult3 = result->asExplicitQuantitativeCheckResult<double>();
EXPECT_NEAR(1.0, quantitativeResult3[0], storm::settings::nativeEquationSolverSettings().getPrecision()); EXPECT_NEAR(1.0, quantitativeResult3[1], storm::settings::nativeEquationSolverSettings().getPrecision()); EXPECT_NEAR(0.0, quantitativeResult3[2], storm::settings::nativeEquationSolverSettings().getPrecision());
lraFormula = std::make_shared<storm::logic::LongRunAverageOperatorFormula>(storm::logic::OptimalityType::Minimize, labelFormula);
result = std::move(checker.check(*lraFormula)); storm::modelchecker::ExplicitQuantitativeCheckResult<double>& quantitativeResult4 = result->asExplicitQuantitativeCheckResult<double>();
EXPECT_NEAR(0.0, quantitativeResult4[0], storm::settings::nativeEquationSolverSettings().getPrecision()); EXPECT_NEAR(0.0, quantitativeResult4[1], storm::settings::nativeEquationSolverSettings().getPrecision()); EXPECT_NEAR(0.0, quantitativeResult4[2], storm::settings::nativeEquationSolverSettings().getPrecision());
labelFormula = std::make_shared<storm::logic::AtomicLabelFormula>("c"); lraFormula = std::make_shared<storm::logic::LongRunAverageOperatorFormula>(storm::logic::OptimalityType::Maximize, labelFormula);
result = std::move(checker.check(*lraFormula)); storm::modelchecker::ExplicitQuantitativeCheckResult<double>& quantitativeResult5 = result->asExplicitQuantitativeCheckResult<double>();
EXPECT_NEAR(1.0, quantitativeResult5[0], storm::settings::nativeEquationSolverSettings().getPrecision()); EXPECT_NEAR(1.0, quantitativeResult5[1], storm::settings::nativeEquationSolverSettings().getPrecision()); EXPECT_NEAR(1.0, quantitativeResult5[2], storm::settings::nativeEquationSolverSettings().getPrecision());
lraFormula = std::make_shared<storm::logic::LongRunAverageOperatorFormula>(storm::logic::OptimalityType::Minimize, labelFormula);
result = std::move(checker.check(*lraFormula)); storm::modelchecker::ExplicitQuantitativeCheckResult<double>& quantitativeResult6 = result->asExplicitQuantitativeCheckResult<double>();
EXPECT_NEAR(0.0, quantitativeResult6[0], storm::settings::nativeEquationSolverSettings().getPrecision()); EXPECT_NEAR(0.0, quantitativeResult6[1], storm::settings::nativeEquationSolverSettings().getPrecision()); EXPECT_NEAR(1.0, quantitativeResult6[2], storm::settings::nativeEquationSolverSettings().getPrecision()); } { matrixBuilder = storm::storage::SparseMatrixBuilder<double>(22, 15, 28, true, true, 15); matrixBuilder.newRowGroup(0); matrixBuilder.addNextValue(0, 1, 1); matrixBuilder.newRowGroup(1); matrixBuilder.addNextValue(1, 0, 1); matrixBuilder.addNextValue(2, 2, 1); matrixBuilder.addNextValue(3, 4, 0.7); matrixBuilder.addNextValue(3, 6, 0.3); matrixBuilder.newRowGroup(4); matrixBuilder.addNextValue(4, 0, 1);
matrixBuilder.newRowGroup(5); matrixBuilder.addNextValue(5, 4, 1); matrixBuilder.addNextValue(6, 5, 0.8); matrixBuilder.addNextValue(6, 9, 0.2); matrixBuilder.newRowGroup(7); matrixBuilder.addNextValue(7, 3, 1); matrixBuilder.addNextValue(8, 5, 1); matrixBuilder.newRowGroup(9); matrixBuilder.addNextValue(9, 3, 1);
matrixBuilder.newRowGroup(10); matrixBuilder.addNextValue(10, 7, 1); matrixBuilder.newRowGroup(11); matrixBuilder.addNextValue(11, 6, 1); matrixBuilder.addNextValue(12, 8, 1); matrixBuilder.newRowGroup(13); matrixBuilder.addNextValue(13, 6, 1);
matrixBuilder.newRowGroup(14); matrixBuilder.addNextValue(14, 10, 1); matrixBuilder.newRowGroup(15); matrixBuilder.addNextValue(15, 9, 1); matrixBuilder.addNextValue(16, 11, 1); matrixBuilder.newRowGroup(17); matrixBuilder.addNextValue(17, 9, 1);
matrixBuilder.newRowGroup(18); matrixBuilder.addNextValue(18, 5, 0.4); matrixBuilder.addNextValue(18, 8, 0.3); matrixBuilder.addNextValue(18, 11, 0.3);
matrixBuilder.newRowGroup(19); matrixBuilder.addNextValue(19, 7, 0.7); matrixBuilder.addNextValue(19, 12, 0.3);
matrixBuilder.newRowGroup(20); matrixBuilder.addNextValue(20, 12, 0.1); matrixBuilder.addNextValue(20, 13, 0.9); matrixBuilder.addNextValue(21, 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::Mdp<double>(transitionMatrix, ap, boost::none, boost::none, boost::none));
storm::modelchecker::SparseMdpPrctlModelChecker<double> checker(*mdp, std::unique_ptr<storm::utility::solver::MinMaxLinearEquationSolverFactory<double>>(new storm::utility::solver::NativeMinMaxLinearEquationSolverFactory<double>()));
auto labelFormula = std::make_shared<storm::logic::AtomicLabelFormula>("a"); auto lraFormula = std::make_shared<storm::logic::LongRunAverageOperatorFormula>(storm::logic::OptimalityType::Maximize, labelFormula);
std::unique_ptr<storm::modelchecker::CheckResult> result = std::move(checker.check(*lraFormula)); storm::modelchecker::ExplicitQuantitativeCheckResult<double>& quantitativeResult1 = result->asExplicitQuantitativeCheckResult<double>();
EXPECT_NEAR(37./60., quantitativeResult1[0], storm::settings::nativeEquationSolverSettings().getPrecision()); EXPECT_NEAR(2./3., quantitativeResult1[3], storm::settings::nativeEquationSolverSettings().getPrecision()); EXPECT_NEAR(0.5, quantitativeResult1[6], storm::settings::nativeEquationSolverSettings().getPrecision()); EXPECT_NEAR(1./3., quantitativeResult1[9], storm::settings::nativeEquationSolverSettings().getPrecision()); EXPECT_NEAR(31./60., quantitativeResult1[12], storm::settings::nativeEquationSolverSettings().getPrecision()); EXPECT_NEAR(101./200., quantitativeResult1[13], storm::settings::nativeEquationSolverSettings().getPrecision()); EXPECT_NEAR(31./60., quantitativeResult1[14], storm::settings::nativeEquationSolverSettings().getPrecision());
lraFormula = std::make_shared<storm::logic::LongRunAverageOperatorFormula>(storm::logic::OptimalityType::Minimize, labelFormula);
result = std::move(checker.check(*lraFormula)); storm::modelchecker::ExplicitQuantitativeCheckResult<double>& quantitativeResult2 = result->asExplicitQuantitativeCheckResult<double>();
EXPECT_NEAR(0.3 / 3., quantitativeResult2[0], storm::settings::nativeEquationSolverSettings().getPrecision()); EXPECT_NEAR(0.0, quantitativeResult2[3], storm::settings::nativeEquationSolverSettings().getPrecision()); EXPECT_NEAR(1./3., quantitativeResult2[6], storm::settings::nativeEquationSolverSettings().getPrecision()); EXPECT_NEAR(0.0, quantitativeResult2[9], storm::settings::nativeEquationSolverSettings().getPrecision()); EXPECT_NEAR(0.3 / 3., quantitativeResult2[12], storm::settings::nativeEquationSolverSettings().getPrecision()); EXPECT_NEAR(.79 / 3., quantitativeResult2[13], storm::settings::nativeEquationSolverSettings().getPrecision()); EXPECT_NEAR(0.3 / 3., quantitativeResult2[14], storm::settings::nativeEquationSolverSettings().getPrecision()); }}
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