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#include "gtest/gtest.h"
#include "storm-config.h"
#include "src/settings/SettingsManager.h"
#include "src/settings/modules/GmmxxEquationSolverSettings.h"
#include "src/settings/modules/NativeEquationSolverSettings.h"
#include "src/settings/SettingMemento.h"
#include "src/modelchecker/prctl/SparseDtmcPrctlModelChecker.h"
#include "src/modelchecker/results/ExplicitQuantitativeCheckResult.h"
#include "src/utility/solver.h"
#include "src/parser/AutoParser.h"
#include "src/models/sparse/StandardRewardModel.h"
TEST(NativeDtmcPrctlModelCheckerTest, Crowds) {
std::shared_ptr<storm::models::sparse::Model<double>> abstractModel = storm::parser::AutoParser<>::parseModel(STORM_CPP_BASE_PATH "/examples/dtmc/crowds/crowds20_5.tra", STORM_CPP_BASE_PATH "/examples/dtmc/crowds/crowds20_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(2036647ull, dtmc->getNumberOfStates());
ASSERT_EQ(7362293ull, dtmc->getNumberOfTransitions());
storm::modelchecker::SparseDtmcPrctlModelChecker<storm::models::sparse::Dtmc<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(0.22968140721646868, quantitativeResult1[0], storm::settings::gmmxxEquationSolverSettings().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(0.05073232193, quantitativeResult2[0], storm::settings::gmmxxEquationSolverSettings().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(0.22742305378217331, quantitativeResult3[0], storm::settings::gmmxxEquationSolverSettings().getPrecision());
}
TEST(NativeDtmcPrctlModelCheckerTest, SynchronousLeader) {
std::shared_ptr<storm::models::sparse::Model<double>> abstractModel = storm::parser::AutoParser<>::parseModel(STORM_CPP_BASE_PATH "/examples/dtmc/synchronous_leader/leader6_8.tra", STORM_CPP_BASE_PATH "/examples/dtmc/synchronous_leader/leader6_8.lab", "", STORM_CPP_BASE_PATH "/examples/dtmc/synchronous_leader/leader6_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(1312334ull, dtmc->getNumberOfStates());
ASSERT_EQ(1574477ull, dtmc->getNumberOfTransitions());
storm::modelchecker::SparseDtmcPrctlModelChecker<storm::models::sparse::Dtmc<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::gmmxxEquationSolverSettings().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(0.9993949793, quantitativeResult2[0], storm::settings::gmmxxEquationSolverSettings().getPrecision());
labelFormula = std::make_shared<storm::logic::AtomicLabelFormula>("elected");
auto reachabilityRewardFormula = std::make_shared<storm::logic::EventuallyFormula>(labelFormula, storm::logic::FormulaContext::Reward);
result = checker.check(*reachabilityRewardFormula);
storm::modelchecker::ExplicitQuantitativeCheckResult<double> quantitativeResult3 = result->asExplicitQuantitativeCheckResult<double>();
EXPECT_NEAR(1.0252174454896057, quantitativeResult3[0], storm::settings::gmmxxEquationSolverSettings().getPrecision());
}