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372 lines
27 KiB
372 lines
27 KiB
#include "gtest/gtest.h"
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#include "storm-config.h"
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#include "src/logic/Formulas.h"
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#include "src/utility/solver.h"
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#include "src/modelchecker/prctl/SymbolicMdpPrctlModelChecker.h"
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#include "src/modelchecker/results/SymbolicQualitativeCheckResult.h"
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#include "src/modelchecker/results/SymbolicQuantitativeCheckResult.h"
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#include "src/parser/FormulaParser.h"
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#include "src/parser/PrismParser.h"
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#include "src/builder/DdPrismModelBuilder.h"
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#include "src/models/symbolic/Dtmc.h"
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#include "src/models/symbolic/StandardRewardModel.h"
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#include "src/settings/SettingsManager.h"
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#include "src/settings/modules/NativeEquationSolverSettings.h"
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#include "src/settings/modules/GeneralSettings.h"
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TEST(SymbolicMdpPrctlModelCheckerTest, Dice_Cudd) {
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storm::prism::Program program = storm::parser::PrismParser::parse(STORM_CPP_TESTS_BASE_PATH "/functional/builder/two_dice.nm");
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// A parser that we use for conveniently constructing the formulas.
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storm::parser::FormulaParser formulaParser;
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// Build the die model with its reward model.
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#ifdef WINDOWS
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storm::builder::DdPrismModelBuilder<storm::dd::DdType::CUDD>::Options options;
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#else
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typename storm::builder::DdPrismModelBuilder<storm::dd::DdType::CUDD>::Options options;
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#endif
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options.buildAllRewardModels = false;
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options.rewardModelsToBuild.insert("coinflips");
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std::shared_ptr<storm::models::symbolic::Model<storm::dd::DdType::CUDD>> model = storm::builder::DdPrismModelBuilder<storm::dd::DdType::CUDD>().translateProgram(program, options);
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EXPECT_EQ(169ul, model->getNumberOfStates());
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EXPECT_EQ(436ul, model->getNumberOfTransitions());
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ASSERT_EQ(model->getType(), storm::models::ModelType::Mdp);
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std::shared_ptr<storm::models::symbolic::Mdp<storm::dd::DdType::CUDD>> mdp = model->as<storm::models::symbolic::Mdp<storm::dd::DdType::CUDD>>();
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storm::modelchecker::SymbolicMdpPrctlModelChecker<storm::dd::DdType::CUDD, double> checker(*mdp, std::unique_ptr<storm::utility::solver::SymbolicMinMaxLinearEquationSolverFactory<storm::dd::DdType::CUDD, double>>(new storm::utility::solver::SymbolicMinMaxLinearEquationSolverFactory<storm::dd::DdType::CUDD, double>()));
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std::shared_ptr<storm::logic::Formula> formula = formulaParser.parseSingleFormulaFromString("Pmin=? [F \"two\"]");
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std::unique_ptr<storm::modelchecker::CheckResult> result = checker.check(*formula);
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result->filter(storm::modelchecker::SymbolicQualitativeCheckResult<storm::dd::DdType::CUDD>(model->getReachableStates(), model->getInitialStates()));
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storm::modelchecker::SymbolicQuantitativeCheckResult<storm::dd::DdType::CUDD>& quantitativeResult1 = result->asSymbolicQuantitativeCheckResult<storm::dd::DdType::CUDD, double>();
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EXPECT_NEAR(0.0277777612209320068, quantitativeResult1.getMin(), storm::settings::nativeEquationSolverSettings().getPrecision());
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EXPECT_NEAR(0.0277777612209320068, quantitativeResult1.getMax(), storm::settings::nativeEquationSolverSettings().getPrecision());
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formula = formulaParser.parseSingleFormulaFromString("Pmax=? [F \"two\"]");
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result = checker.check(*formula);
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result->filter(storm::modelchecker::SymbolicQualitativeCheckResult<storm::dd::DdType::CUDD>(model->getReachableStates(), model->getInitialStates()));
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storm::modelchecker::SymbolicQuantitativeCheckResult<storm::dd::DdType::CUDD>& quantitativeResult2 = result->asSymbolicQuantitativeCheckResult<storm::dd::DdType::CUDD, double>();
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EXPECT_NEAR(0.0277777612209320068, quantitativeResult2.getMin(), storm::settings::nativeEquationSolverSettings().getPrecision());
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EXPECT_NEAR(0.0277777612209320068, quantitativeResult2.getMax(), storm::settings::nativeEquationSolverSettings().getPrecision());
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formula = formulaParser.parseSingleFormulaFromString("Pmin=? [F \"three\"]");
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result = checker.check(*formula);
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result->filter(storm::modelchecker::SymbolicQualitativeCheckResult<storm::dd::DdType::CUDD>(model->getReachableStates(), model->getInitialStates()));
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storm::modelchecker::SymbolicQuantitativeCheckResult<storm::dd::DdType::CUDD>& quantitativeResult3 = result->asSymbolicQuantitativeCheckResult<storm::dd::DdType::CUDD, double>();
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EXPECT_NEAR(0.0555555224418640136, quantitativeResult3.getMin(), storm::settings::nativeEquationSolverSettings().getPrecision());
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EXPECT_NEAR(0.0555555224418640136, quantitativeResult3.getMax(), storm::settings::nativeEquationSolverSettings().getPrecision());
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formula = formulaParser.parseSingleFormulaFromString("Pmax=? [F \"three\"]");
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result = checker.check(*formula);
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result->filter(storm::modelchecker::SymbolicQualitativeCheckResult<storm::dd::DdType::CUDD>(model->getReachableStates(), model->getInitialStates()));
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storm::modelchecker::SymbolicQuantitativeCheckResult<storm::dd::DdType::CUDD>& quantitativeResult4 = result->asSymbolicQuantitativeCheckResult<storm::dd::DdType::CUDD, double>();
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EXPECT_NEAR(0.0555555224418640136, quantitativeResult4.getMin(), storm::settings::nativeEquationSolverSettings().getPrecision());
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EXPECT_NEAR(0.0555555224418640136, quantitativeResult4.getMax(), storm::settings::nativeEquationSolverSettings().getPrecision());
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formula = formulaParser.parseSingleFormulaFromString("Pmin=? [F \"four\"]");
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result = checker.check(*formula);
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result->filter(storm::modelchecker::SymbolicQualitativeCheckResult<storm::dd::DdType::CUDD>(model->getReachableStates(), model->getInitialStates()));
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storm::modelchecker::SymbolicQuantitativeCheckResult<storm::dd::DdType::CUDD>& quantitativeResult5 = result->asSymbolicQuantitativeCheckResult<storm::dd::DdType::CUDD, double>();
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EXPECT_NEAR(0.083333283662796020508, quantitativeResult5.getMin(), storm::settings::nativeEquationSolverSettings().getPrecision());
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EXPECT_NEAR(0.083333283662796020508, quantitativeResult5.getMax(), storm::settings::nativeEquationSolverSettings().getPrecision());
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formula = formulaParser.parseSingleFormulaFromString("Pmax=? [F \"four\"]");
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result = checker.check(*formula);
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result->filter(storm::modelchecker::SymbolicQualitativeCheckResult<storm::dd::DdType::CUDD>(model->getReachableStates(), model->getInitialStates()));
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storm::modelchecker::SymbolicQuantitativeCheckResult<storm::dd::DdType::CUDD>& quantitativeResult6 = result->asSymbolicQuantitativeCheckResult<storm::dd::DdType::CUDD, double>();
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EXPECT_NEAR(0.083333283662796020508, quantitativeResult6.getMin(), storm::settings::nativeEquationSolverSettings().getPrecision());
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EXPECT_NEAR(0.083333283662796020508, quantitativeResult6.getMax(), storm::settings::nativeEquationSolverSettings().getPrecision());
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formula = formulaParser.parseSingleFormulaFromString("Rmin=? [F \"done\"]");
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result = checker.check(*formula);
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result->filter(storm::modelchecker::SymbolicQualitativeCheckResult<storm::dd::DdType::CUDD>(model->getReachableStates(), model->getInitialStates()));
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storm::modelchecker::SymbolicQuantitativeCheckResult<storm::dd::DdType::CUDD>& quantitativeResult7 = result->asSymbolicQuantitativeCheckResult<storm::dd::DdType::CUDD, double>();
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EXPECT_NEAR(7.3333272933959961, quantitativeResult7.getMin(), storm::settings::nativeEquationSolverSettings().getPrecision());
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EXPECT_NEAR(7.3333272933959961, quantitativeResult7.getMax(), storm::settings::nativeEquationSolverSettings().getPrecision());
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formula = formulaParser.parseSingleFormulaFromString("Rmax=? [F \"done\"]");
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result = checker.check(*formula);
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result->filter(storm::modelchecker::SymbolicQualitativeCheckResult<storm::dd::DdType::CUDD>(model->getReachableStates(), model->getInitialStates()));
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storm::modelchecker::SymbolicQuantitativeCheckResult<storm::dd::DdType::CUDD>& quantitativeResult8 = result->asSymbolicQuantitativeCheckResult<storm::dd::DdType::CUDD, double>();
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EXPECT_NEAR(7.3333272933959961, quantitativeResult8.getMin(), storm::settings::nativeEquationSolverSettings().getPrecision());
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EXPECT_NEAR(7.3333272933959961, quantitativeResult8.getMax(), storm::settings::nativeEquationSolverSettings().getPrecision());
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}
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TEST(SymbolicMdpPrctlModelCheckerTest, Dice_Sylvan) {
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storm::prism::Program program = storm::parser::PrismParser::parse(STORM_CPP_TESTS_BASE_PATH "/functional/builder/two_dice.nm");
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// A parser that we use for conveniently constructing the formulas.
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storm::parser::FormulaParser formulaParser;
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// Build the die model with its reward model.
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#ifdef WINDOWS
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storm::builder::DdPrismModelBuilder<storm::dd::DdType::Sylvan>::Options options;
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#else
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typename storm::builder::DdPrismModelBuilder<storm::dd::DdType::Sylvan>::Options options;
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#endif
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options.buildAllRewardModels = false;
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options.rewardModelsToBuild.insert("coinflips");
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std::shared_ptr<storm::models::symbolic::Model<storm::dd::DdType::Sylvan>> model = storm::builder::DdPrismModelBuilder<storm::dd::DdType::Sylvan>().translateProgram(program, options);
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EXPECT_EQ(169ul, model->getNumberOfStates());
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EXPECT_EQ(436ul, model->getNumberOfTransitions());
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ASSERT_EQ(model->getType(), storm::models::ModelType::Mdp);
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std::shared_ptr<storm::models::symbolic::Mdp<storm::dd::DdType::Sylvan>> mdp = model->as<storm::models::symbolic::Mdp<storm::dd::DdType::Sylvan>>();
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storm::modelchecker::SymbolicMdpPrctlModelChecker<storm::dd::DdType::Sylvan, double> checker(*mdp, std::unique_ptr<storm::utility::solver::SymbolicMinMaxLinearEquationSolverFactory<storm::dd::DdType::Sylvan, double>>(new storm::utility::solver::SymbolicMinMaxLinearEquationSolverFactory<storm::dd::DdType::Sylvan, double>()));
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std::shared_ptr<storm::logic::Formula> formula = formulaParser.parseSingleFormulaFromString("Pmin=? [F \"two\"]");
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std::unique_ptr<storm::modelchecker::CheckResult> result = checker.check(*formula);
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result->filter(storm::modelchecker::SymbolicQualitativeCheckResult<storm::dd::DdType::Sylvan>(model->getReachableStates(), model->getInitialStates()));
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storm::modelchecker::SymbolicQuantitativeCheckResult<storm::dd::DdType::Sylvan>& quantitativeResult1 = result->asSymbolicQuantitativeCheckResult<storm::dd::DdType::Sylvan, double>();
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EXPECT_NEAR(0.0277777612209320068, quantitativeResult1.getMin(), storm::settings::nativeEquationSolverSettings().getPrecision());
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EXPECT_NEAR(0.0277777612209320068, quantitativeResult1.getMax(), storm::settings::nativeEquationSolverSettings().getPrecision());
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formula = formulaParser.parseSingleFormulaFromString("Pmax=? [F \"two\"]");
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result = checker.check(*formula);
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result->filter(storm::modelchecker::SymbolicQualitativeCheckResult<storm::dd::DdType::Sylvan>(model->getReachableStates(), model->getInitialStates()));
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storm::modelchecker::SymbolicQuantitativeCheckResult<storm::dd::DdType::Sylvan>& quantitativeResult2 = result->asSymbolicQuantitativeCheckResult<storm::dd::DdType::Sylvan, double>();
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EXPECT_NEAR(0.0277777612209320068, quantitativeResult2.getMin(), storm::settings::nativeEquationSolverSettings().getPrecision());
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EXPECT_NEAR(0.0277777612209320068, quantitativeResult2.getMax(), storm::settings::nativeEquationSolverSettings().getPrecision());
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formula = formulaParser.parseSingleFormulaFromString("Pmin=? [F \"three\"]");
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result = checker.check(*formula);
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result->filter(storm::modelchecker::SymbolicQualitativeCheckResult<storm::dd::DdType::Sylvan>(model->getReachableStates(), model->getInitialStates()));
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storm::modelchecker::SymbolicQuantitativeCheckResult<storm::dd::DdType::Sylvan>& quantitativeResult3 = result->asSymbolicQuantitativeCheckResult<storm::dd::DdType::Sylvan, double>();
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EXPECT_NEAR(0.0555555224418640136, quantitativeResult3.getMin(), storm::settings::nativeEquationSolverSettings().getPrecision());
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EXPECT_NEAR(0.0555555224418640136, quantitativeResult3.getMax(), storm::settings::nativeEquationSolverSettings().getPrecision());
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formula = formulaParser.parseSingleFormulaFromString("Pmax=? [F \"three\"]");
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result = checker.check(*formula);
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result->filter(storm::modelchecker::SymbolicQualitativeCheckResult<storm::dd::DdType::Sylvan>(model->getReachableStates(), model->getInitialStates()));
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storm::modelchecker::SymbolicQuantitativeCheckResult<storm::dd::DdType::Sylvan>& quantitativeResult4 = result->asSymbolicQuantitativeCheckResult<storm::dd::DdType::Sylvan, double>();
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EXPECT_NEAR(0.0555555224418640136, quantitativeResult4.getMin(), storm::settings::nativeEquationSolverSettings().getPrecision());
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EXPECT_NEAR(0.0555555224418640136, quantitativeResult4.getMax(), storm::settings::nativeEquationSolverSettings().getPrecision());
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formula = formulaParser.parseSingleFormulaFromString("Pmin=? [F \"four\"]");
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result = checker.check(*formula);
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result->filter(storm::modelchecker::SymbolicQualitativeCheckResult<storm::dd::DdType::Sylvan>(model->getReachableStates(), model->getInitialStates()));
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storm::modelchecker::SymbolicQuantitativeCheckResult<storm::dd::DdType::Sylvan>& quantitativeResult5 = result->asSymbolicQuantitativeCheckResult<storm::dd::DdType::Sylvan, double>();
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EXPECT_NEAR(0.083333283662796020508, quantitativeResult5.getMin(), storm::settings::nativeEquationSolverSettings().getPrecision());
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EXPECT_NEAR(0.083333283662796020508, quantitativeResult5.getMax(), storm::settings::nativeEquationSolverSettings().getPrecision());
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formula = formulaParser.parseSingleFormulaFromString("Pmax=? [F \"four\"]");
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result = checker.check(*formula);
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result->filter(storm::modelchecker::SymbolicQualitativeCheckResult<storm::dd::DdType::Sylvan>(model->getReachableStates(), model->getInitialStates()));
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storm::modelchecker::SymbolicQuantitativeCheckResult<storm::dd::DdType::Sylvan>& quantitativeResult6 = result->asSymbolicQuantitativeCheckResult<storm::dd::DdType::Sylvan, double>();
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EXPECT_NEAR(0.083333283662796020508, quantitativeResult6.getMin(), storm::settings::nativeEquationSolverSettings().getPrecision());
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EXPECT_NEAR(0.083333283662796020508, quantitativeResult6.getMax(), storm::settings::nativeEquationSolverSettings().getPrecision());
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formula = formulaParser.parseSingleFormulaFromString("Rmin=? [F \"done\"]");
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result = checker.check(*formula);
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result->filter(storm::modelchecker::SymbolicQualitativeCheckResult<storm::dd::DdType::Sylvan>(model->getReachableStates(), model->getInitialStates()));
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storm::modelchecker::SymbolicQuantitativeCheckResult<storm::dd::DdType::Sylvan>& quantitativeResult7 = result->asSymbolicQuantitativeCheckResult<storm::dd::DdType::Sylvan, double>();
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EXPECT_NEAR(7.3333272933959961, quantitativeResult7.getMin(), storm::settings::nativeEquationSolverSettings().getPrecision());
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EXPECT_NEAR(7.3333272933959961, quantitativeResult7.getMax(), storm::settings::nativeEquationSolverSettings().getPrecision());
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formula = formulaParser.parseSingleFormulaFromString("Rmax=? [F \"done\"]");
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result = checker.check(*formula);
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result->filter(storm::modelchecker::SymbolicQualitativeCheckResult<storm::dd::DdType::Sylvan>(model->getReachableStates(), model->getInitialStates()));
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storm::modelchecker::SymbolicQuantitativeCheckResult<storm::dd::DdType::Sylvan>& quantitativeResult8 = result->asSymbolicQuantitativeCheckResult<storm::dd::DdType::Sylvan, double>();
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EXPECT_NEAR(7.3333272933959961, quantitativeResult8.getMin(), storm::settings::nativeEquationSolverSettings().getPrecision());
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EXPECT_NEAR(7.3333272933959961, quantitativeResult8.getMax(), storm::settings::nativeEquationSolverSettings().getPrecision());
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}
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TEST(SymbolicMdpPrctlModelCheckerTest, AsynchronousLeader_Cudd) {
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storm::prism::Program program = storm::parser::PrismParser::parse(STORM_CPP_TESTS_BASE_PATH "/functional/builder/leader4.nm");
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// A parser that we use for conveniently constructing the formulas.
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storm::parser::FormulaParser formulaParser;
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// Build the die model with its reward model.
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#ifdef WINDOWS
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storm::builder::DdPrismModelBuilder<storm::dd::DdType::CUDD>::Options options;
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#else
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typename storm::builder::DdPrismModelBuilder<storm::dd::DdType::CUDD>::Options options;
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#endif
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options.buildAllRewardModels = false;
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options.rewardModelsToBuild.insert("rounds");
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std::shared_ptr<storm::models::symbolic::Model<storm::dd::DdType::CUDD>> model = storm::builder::DdPrismModelBuilder<storm::dd::DdType::CUDD>().translateProgram(program, options);
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EXPECT_EQ(3172ul, model->getNumberOfStates());
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EXPECT_EQ(7144ul, model->getNumberOfTransitions());
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ASSERT_EQ(model->getType(), storm::models::ModelType::Mdp);
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std::shared_ptr<storm::models::symbolic::Mdp<storm::dd::DdType::CUDD>> mdp = model->as<storm::models::symbolic::Mdp<storm::dd::DdType::CUDD>>();
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storm::modelchecker::SymbolicMdpPrctlModelChecker<storm::dd::DdType::CUDD, double> checker(*mdp, std::unique_ptr<storm::utility::solver::SymbolicMinMaxLinearEquationSolverFactory<storm::dd::DdType::CUDD, double>>(new storm::utility::solver::SymbolicMinMaxLinearEquationSolverFactory<storm::dd::DdType::CUDD, double>()));
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std::shared_ptr<storm::logic::Formula> formula = formulaParser.parseSingleFormulaFromString("Pmin=? [F \"elected\"]");
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std::unique_ptr<storm::modelchecker::CheckResult> result = checker.check(*formula);
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result->filter(storm::modelchecker::SymbolicQualitativeCheckResult<storm::dd::DdType::CUDD>(model->getReachableStates(), model->getInitialStates()));
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storm::modelchecker::SymbolicQuantitativeCheckResult<storm::dd::DdType::CUDD>& quantitativeResult1 = result->asSymbolicQuantitativeCheckResult<storm::dd::DdType::CUDD, double>();
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EXPECT_NEAR(1, quantitativeResult1.getMin(), storm::settings::nativeEquationSolverSettings().getPrecision());
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EXPECT_NEAR(1, quantitativeResult1.getMax(), storm::settings::nativeEquationSolverSettings().getPrecision());
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formula = formulaParser.parseSingleFormulaFromString("Pmax=? [F \"elected\"]");
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result = checker.check(*formula);
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result->filter(storm::modelchecker::SymbolicQualitativeCheckResult<storm::dd::DdType::CUDD>(model->getReachableStates(), model->getInitialStates()));
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storm::modelchecker::SymbolicQuantitativeCheckResult<storm::dd::DdType::CUDD>& quantitativeResult2 = result->asSymbolicQuantitativeCheckResult<storm::dd::DdType::CUDD, double>();
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EXPECT_NEAR(1, quantitativeResult2.getMin(), storm::settings::nativeEquationSolverSettings().getPrecision());
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EXPECT_NEAR(1, quantitativeResult2.getMax(), storm::settings::nativeEquationSolverSettings().getPrecision());
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formula = formulaParser.parseSingleFormulaFromString("Pmin=? [F<=25 \"elected\"]");
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result = checker.check(*formula);
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result->filter(storm::modelchecker::SymbolicQualitativeCheckResult<storm::dd::DdType::CUDD>(model->getReachableStates(), model->getInitialStates()));
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storm::modelchecker::SymbolicQuantitativeCheckResult<storm::dd::DdType::CUDD>& quantitativeResult3 = result->asSymbolicQuantitativeCheckResult<storm::dd::DdType::CUDD, double>();
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EXPECT_NEAR(0.0625, quantitativeResult3.getMin(), storm::settings::nativeEquationSolverSettings().getPrecision());
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EXPECT_NEAR(0.0625, quantitativeResult3.getMax(), storm::settings::nativeEquationSolverSettings().getPrecision());
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formula = formulaParser.parseSingleFormulaFromString("Pmax=? [F<=25 \"elected\"]");
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result = checker.check(*formula);
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result->filter(storm::modelchecker::SymbolicQualitativeCheckResult<storm::dd::DdType::CUDD>(model->getReachableStates(), model->getInitialStates()));
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storm::modelchecker::SymbolicQuantitativeCheckResult<storm::dd::DdType::CUDD>& quantitativeResult4 = result->asSymbolicQuantitativeCheckResult<storm::dd::DdType::CUDD, double>();
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EXPECT_NEAR(0.0625, quantitativeResult4.getMin(), storm::settings::nativeEquationSolverSettings().getPrecision());
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EXPECT_NEAR(0.0625, quantitativeResult4.getMax(), storm::settings::nativeEquationSolverSettings().getPrecision());
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formula = formulaParser.parseSingleFormulaFromString("Rmin=? [F \"elected\"]");
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result = checker.check(*formula);
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result->filter(storm::modelchecker::SymbolicQualitativeCheckResult<storm::dd::DdType::CUDD>(model->getReachableStates(), model->getInitialStates()));
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storm::modelchecker::SymbolicQuantitativeCheckResult<storm::dd::DdType::CUDD>& quantitativeResult5 = result->asSymbolicQuantitativeCheckResult<storm::dd::DdType::CUDD, double>();
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EXPECT_NEAR(4.2856890848060498, quantitativeResult5.getMin(), storm::settings::nativeEquationSolverSettings().getPrecision());
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EXPECT_NEAR(4.2856890848060498, quantitativeResult5.getMax(), storm::settings::nativeEquationSolverSettings().getPrecision());
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formula = formulaParser.parseSingleFormulaFromString("Rmax=? [F \"elected\"]");
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result = checker.check(*formula);
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result->filter(storm::modelchecker::SymbolicQualitativeCheckResult<storm::dd::DdType::CUDD>(model->getReachableStates(), model->getInitialStates()));
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storm::modelchecker::SymbolicQuantitativeCheckResult<storm::dd::DdType::CUDD>& quantitativeResult6 = result->asSymbolicQuantitativeCheckResult<storm::dd::DdType::CUDD, double>();
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EXPECT_NEAR(4.2856890848060498, quantitativeResult6.getMin(), storm::settings::nativeEquationSolverSettings().getPrecision());
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EXPECT_NEAR(4.2856890848060498, quantitativeResult6.getMax(), storm::settings::nativeEquationSolverSettings().getPrecision());
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}
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TEST(SymbolicMdpPrctlModelCheckerTest, AsynchronousLeader_Sylvan) {
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storm::prism::Program program = storm::parser::PrismParser::parse(STORM_CPP_TESTS_BASE_PATH "/functional/builder/leader4.nm");
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// A parser that we use for conveniently constructing the formulas.
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storm::parser::FormulaParser formulaParser;
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// Build the die model with its reward model.
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#ifdef WINDOWS
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storm::builder::DdPrismModelBuilder<storm::dd::DdType::Sylvan>::Options options;
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#else
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typename storm::builder::DdPrismModelBuilder<storm::dd::DdType::Sylvan>::Options options;
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#endif
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options.buildAllRewardModels = false;
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options.rewardModelsToBuild.insert("rounds");
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std::shared_ptr<storm::models::symbolic::Model<storm::dd::DdType::Sylvan>> model = storm::builder::DdPrismModelBuilder<storm::dd::DdType::Sylvan>().translateProgram(program, options);
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EXPECT_EQ(3172ul, model->getNumberOfStates());
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EXPECT_EQ(7144ul, model->getNumberOfTransitions());
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ASSERT_EQ(model->getType(), storm::models::ModelType::Mdp);
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std::shared_ptr<storm::models::symbolic::Mdp<storm::dd::DdType::Sylvan>> mdp = model->as<storm::models::symbolic::Mdp<storm::dd::DdType::Sylvan>>();
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storm::modelchecker::SymbolicMdpPrctlModelChecker<storm::dd::DdType::Sylvan, double> checker(*mdp, std::unique_ptr<storm::utility::solver::SymbolicMinMaxLinearEquationSolverFactory<storm::dd::DdType::Sylvan, double>>(new storm::utility::solver::SymbolicMinMaxLinearEquationSolverFactory<storm::dd::DdType::Sylvan, double>()));
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std::shared_ptr<storm::logic::Formula> formula = formulaParser.parseSingleFormulaFromString("Pmin=? [F \"elected\"]");
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std::unique_ptr<storm::modelchecker::CheckResult> result = checker.check(*formula);
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result->filter(storm::modelchecker::SymbolicQualitativeCheckResult<storm::dd::DdType::Sylvan>(model->getReachableStates(), model->getInitialStates()));
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storm::modelchecker::SymbolicQuantitativeCheckResult<storm::dd::DdType::Sylvan>& quantitativeResult1 = result->asSymbolicQuantitativeCheckResult<storm::dd::DdType::Sylvan, double>();
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EXPECT_NEAR(1, quantitativeResult1.getMin(), storm::settings::nativeEquationSolverSettings().getPrecision());
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EXPECT_NEAR(1, quantitativeResult1.getMax(), storm::settings::nativeEquationSolverSettings().getPrecision());
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formula = formulaParser.parseSingleFormulaFromString("Pmax=? [F \"elected\"]");
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result = checker.check(*formula);
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result->filter(storm::modelchecker::SymbolicQualitativeCheckResult<storm::dd::DdType::Sylvan>(model->getReachableStates(), model->getInitialStates()));
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storm::modelchecker::SymbolicQuantitativeCheckResult<storm::dd::DdType::Sylvan>& quantitativeResult2 = result->asSymbolicQuantitativeCheckResult<storm::dd::DdType::Sylvan, double>();
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EXPECT_NEAR(1, quantitativeResult2.getMin(), storm::settings::nativeEquationSolverSettings().getPrecision());
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EXPECT_NEAR(1, quantitativeResult2.getMax(), storm::settings::nativeEquationSolverSettings().getPrecision());
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formula = formulaParser.parseSingleFormulaFromString("Pmin=? [F<=25 \"elected\"]");
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result = checker.check(*formula);
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result->filter(storm::modelchecker::SymbolicQualitativeCheckResult<storm::dd::DdType::Sylvan>(model->getReachableStates(), model->getInitialStates()));
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storm::modelchecker::SymbolicQuantitativeCheckResult<storm::dd::DdType::Sylvan>& quantitativeResult3 = result->asSymbolicQuantitativeCheckResult<storm::dd::DdType::Sylvan, double>();
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EXPECT_NEAR(0.0625, quantitativeResult3.getMin(), storm::settings::nativeEquationSolverSettings().getPrecision());
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EXPECT_NEAR(0.0625, quantitativeResult3.getMax(), storm::settings::nativeEquationSolverSettings().getPrecision());
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formula = formulaParser.parseSingleFormulaFromString("Pmax=? [F<=25 \"elected\"]");
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result = checker.check(*formula);
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result->filter(storm::modelchecker::SymbolicQualitativeCheckResult<storm::dd::DdType::Sylvan>(model->getReachableStates(), model->getInitialStates()));
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storm::modelchecker::SymbolicQuantitativeCheckResult<storm::dd::DdType::Sylvan>& quantitativeResult4 = result->asSymbolicQuantitativeCheckResult<storm::dd::DdType::Sylvan, double>();
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EXPECT_NEAR(0.0625, quantitativeResult4.getMin(), storm::settings::nativeEquationSolverSettings().getPrecision());
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EXPECT_NEAR(0.0625, quantitativeResult4.getMax(), storm::settings::nativeEquationSolverSettings().getPrecision());
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formula = formulaParser.parseSingleFormulaFromString("Rmin=? [F \"elected\"]");
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result = checker.check(*formula);
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result->filter(storm::modelchecker::SymbolicQualitativeCheckResult<storm::dd::DdType::Sylvan>(model->getReachableStates(), model->getInitialStates()));
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storm::modelchecker::SymbolicQuantitativeCheckResult<storm::dd::DdType::Sylvan>& quantitativeResult5 = result->asSymbolicQuantitativeCheckResult<storm::dd::DdType::Sylvan, double>();
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// FIXME: this precision bound is not really good.
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EXPECT_NEAR(4.2857, quantitativeResult5.getMin(), 100 * storm::settings::nativeEquationSolverSettings().getPrecision());
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EXPECT_NEAR(4.2857, quantitativeResult5.getMax(), 100 * storm::settings::nativeEquationSolverSettings().getPrecision());
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formula = formulaParser.parseSingleFormulaFromString("Rmax=? [F \"elected\"]");
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result = checker.check(*formula);
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result->filter(storm::modelchecker::SymbolicQualitativeCheckResult<storm::dd::DdType::Sylvan>(model->getReachableStates(), model->getInitialStates()));
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storm::modelchecker::SymbolicQuantitativeCheckResult<storm::dd::DdType::Sylvan>& quantitativeResult6 = result->asSymbolicQuantitativeCheckResult<storm::dd::DdType::Sylvan, double>();
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// FIXME: this precision bound is not really good.
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EXPECT_NEAR(4.2857, quantitativeResult6.getMin(), 100 * storm::settings::nativeEquationSolverSettings().getPrecision());
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EXPECT_NEAR(4.2857, quantitativeResult6.getMax(), 100 * storm::settings::nativeEquationSolverSettings().getPrecision());
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}
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