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#include "gtest/gtest.h"
#include "storm-config.h"
#include "src/parser/FormulaParser.h"
#include "src/logic/Formulas.h"
#include "src/utility/solver.h"
#include "src/modelchecker/prctl/SymbolicDtmcPrctlModelChecker.h"
#include "src/modelchecker/results/SymbolicQualitativeCheckResult.h"
#include "src/modelchecker/results/SymbolicQuantitativeCheckResult.h"
#include "src/parser/PrismParser.h"
#include "src/builder/DdPrismModelBuilder.h"
#include "src/models/symbolic/StandardRewardModel.h"
#include "src/models/symbolic/Dtmc.h"
#include "src/settings/SettingsManager.h"
#include "src/settings/modules/NativeEquationSolverSettings.h"
#include "src/settings/modules/GeneralSettings.h"
TEST(SymbolicDtmcPrctlModelCheckerTest, Die_Cudd) { storm::prism::Program program = storm::parser::PrismParser::parse(STORM_CPP_TESTS_BASE_PATH "/functional/builder/die.pm"); // A parser that we use for conveniently constructing the formulas.
storm::parser::FormulaParser formulaParser;
// Build the die model with its reward model.
#ifdef WINDOWS
storm::builder::DdPrismModelBuilder<storm::dd::DdType::CUDD>::Options options; #else
typename storm::builder::DdPrismModelBuilder<storm::dd::DdType::CUDD>::Options options; #endif
options.buildAllRewardModels = false; options.rewardModelsToBuild.insert("coin_flips"); std::shared_ptr<storm::models::symbolic::Model<storm::dd::DdType::CUDD>> model = storm::builder::DdPrismModelBuilder<storm::dd::DdType::CUDD>().build(program, options); EXPECT_EQ(13ul, model->getNumberOfStates()); EXPECT_EQ(20ul, model->getNumberOfTransitions()); ASSERT_EQ(model->getType(), storm::models::ModelType::Dtmc); std::shared_ptr<storm::models::symbolic::Dtmc<storm::dd::DdType::CUDD>> dtmc = model->as<storm::models::symbolic::Dtmc<storm::dd::DdType::CUDD>>(); storm::modelchecker::SymbolicDtmcPrctlModelChecker<storm::dd::DdType::CUDD, double> checker(*dtmc, std::unique_ptr<storm::utility::solver::SymbolicLinearEquationSolverFactory<storm::dd::DdType::CUDD, double>>(new storm::utility::solver::SymbolicLinearEquationSolverFactory<storm::dd::DdType::CUDD, double>())); std::shared_ptr<storm::logic::Formula const> formula = formulaParser.parseSingleFormulaFromString("P=? [F \"one\"]"); std::unique_ptr<storm::modelchecker::CheckResult> result = checker.check(*formula); result->filter(storm::modelchecker::SymbolicQualitativeCheckResult<storm::dd::DdType::CUDD>(model->getReachableStates(), model->getInitialStates())); storm::modelchecker::SymbolicQuantitativeCheckResult<storm::dd::DdType::CUDD>& quantitativeResult1 = result->asSymbolicQuantitativeCheckResult<storm::dd::DdType::CUDD, double>(); EXPECT_NEAR(1.0/6.0, quantitativeResult1.getMin(), storm::settings::getModule<storm::settings::modules::NativeEquationSolverSettings>().getPrecision()); EXPECT_NEAR(1.0/6.0, quantitativeResult1.getMax(), storm::settings::getModule<storm::settings::modules::NativeEquationSolverSettings>().getPrecision()); formula = formulaParser.parseSingleFormulaFromString("P=? [F \"two\"]"); result = checker.check(*formula); result->filter(storm::modelchecker::SymbolicQualitativeCheckResult<storm::dd::DdType::CUDD>(model->getReachableStates(), model->getInitialStates())); storm::modelchecker::SymbolicQuantitativeCheckResult<storm::dd::DdType::CUDD>& quantitativeResult2 = result->asSymbolicQuantitativeCheckResult<storm::dd::DdType::CUDD, double>(); EXPECT_NEAR(1.0/6.0, quantitativeResult2.getMin(), storm::settings::getModule<storm::settings::modules::NativeEquationSolverSettings>().getPrecision()); EXPECT_NEAR(1.0/6.0, quantitativeResult2.getMax(), storm::settings::getModule<storm::settings::modules::NativeEquationSolverSettings>().getPrecision()); formula = formulaParser.parseSingleFormulaFromString("P=? [F \"three\"]"); result = checker.check(*formula); result->filter(storm::modelchecker::SymbolicQualitativeCheckResult<storm::dd::DdType::CUDD>(model->getReachableStates(), model->getInitialStates())); storm::modelchecker::SymbolicQuantitativeCheckResult<storm::dd::DdType::CUDD>& quantitativeResult3 = result->asSymbolicQuantitativeCheckResult<storm::dd::DdType::CUDD, double>(); EXPECT_NEAR(1.0/6.0, quantitativeResult3.getMin(), storm::settings::getModule<storm::settings::modules::NativeEquationSolverSettings>().getPrecision()); EXPECT_NEAR(1.0/6.0, quantitativeResult3.getMax(), storm::settings::getModule<storm::settings::modules::NativeEquationSolverSettings>().getPrecision()); formula = formulaParser.parseSingleFormulaFromString("R=? [F \"done\"]"); result = checker.check(*formula); result->filter(storm::modelchecker::SymbolicQualitativeCheckResult<storm::dd::DdType::CUDD>(model->getReachableStates(), model->getInitialStates())); storm::modelchecker::SymbolicQuantitativeCheckResult<storm::dd::DdType::CUDD>& quantitativeResult4 = result->asSymbolicQuantitativeCheckResult<storm::dd::DdType::CUDD, double>(); EXPECT_NEAR(3.6666622161865234, quantitativeResult4.getMin(), storm::settings::getModule<storm::settings::modules::NativeEquationSolverSettings>().getPrecision()); EXPECT_NEAR(3.6666622161865234, quantitativeResult4.getMax(), storm::settings::getModule<storm::settings::modules::NativeEquationSolverSettings>().getPrecision()); }
TEST(SymbolicDtmcPrctlModelCheckerTest, Die_Sylvan) { storm::prism::Program program = storm::parser::PrismParser::parse(STORM_CPP_TESTS_BASE_PATH "/functional/builder/die.pm"); // A parser that we use for conveniently constructing the formulas.
storm::parser::FormulaParser formulaParser; // Build the die model with its reward model.
#ifdef WINDOWS
storm::builder::DdPrismModelBuilder<storm::dd::DdType::Sylvan>::Options options; #else
typename storm::builder::DdPrismModelBuilder<storm::dd::DdType::Sylvan>::Options options; #endif
options.buildAllRewardModels = false; options.rewardModelsToBuild.insert("coin_flips"); std::shared_ptr<storm::models::symbolic::Model<storm::dd::DdType::Sylvan>> model = storm::builder::DdPrismModelBuilder<storm::dd::DdType::Sylvan>().build(program, options); EXPECT_EQ(13ul, model->getNumberOfStates()); EXPECT_EQ(20ul, model->getNumberOfTransitions()); ASSERT_EQ(model->getType(), storm::models::ModelType::Dtmc); std::shared_ptr<storm::models::symbolic::Dtmc<storm::dd::DdType::Sylvan>> dtmc = model->as<storm::models::symbolic::Dtmc<storm::dd::DdType::Sylvan>>(); storm::modelchecker::SymbolicDtmcPrctlModelChecker<storm::dd::DdType::Sylvan, double> checker(*dtmc, std::unique_ptr<storm::utility::solver::SymbolicLinearEquationSolverFactory<storm::dd::DdType::Sylvan, double>>(new storm::utility::solver::SymbolicLinearEquationSolverFactory<storm::dd::DdType::Sylvan, double>())); std::shared_ptr<storm::logic::Formula const> formula = formulaParser.parseSingleFormulaFromString("P=? [F \"one\"]"); std::unique_ptr<storm::modelchecker::CheckResult> result = checker.check(*formula); result->filter(storm::modelchecker::SymbolicQualitativeCheckResult<storm::dd::DdType::Sylvan>(model->getReachableStates(), model->getInitialStates())); storm::modelchecker::SymbolicQuantitativeCheckResult<storm::dd::DdType::Sylvan>& quantitativeResult1 = result->asSymbolicQuantitativeCheckResult<storm::dd::DdType::Sylvan, double>(); EXPECT_NEAR(1.0/6.0, quantitativeResult1.getMin(), storm::settings::getModule<storm::settings::modules::NativeEquationSolverSettings>().getPrecision()); EXPECT_NEAR(1.0/6.0, quantitativeResult1.getMax(), storm::settings::getModule<storm::settings::modules::NativeEquationSolverSettings>().getPrecision()); formula = formulaParser.parseSingleFormulaFromString("P=? [F \"two\"]"); result = checker.check(*formula); result->filter(storm::modelchecker::SymbolicQualitativeCheckResult<storm::dd::DdType::Sylvan>(model->getReachableStates(), model->getInitialStates())); storm::modelchecker::SymbolicQuantitativeCheckResult<storm::dd::DdType::Sylvan>& quantitativeResult2 = result->asSymbolicQuantitativeCheckResult<storm::dd::DdType::Sylvan, double>(); EXPECT_NEAR(1.0/6.0, quantitativeResult2.getMin(), storm::settings::getModule<storm::settings::modules::NativeEquationSolverSettings>().getPrecision()); EXPECT_NEAR(1.0/6.0, quantitativeResult2.getMax(), storm::settings::getModule<storm::settings::modules::NativeEquationSolverSettings>().getPrecision()); formula = formulaParser.parseSingleFormulaFromString("P=? [F \"three\"]"); result = checker.check(*formula); result->filter(storm::modelchecker::SymbolicQualitativeCheckResult<storm::dd::DdType::Sylvan>(model->getReachableStates(), model->getInitialStates())); storm::modelchecker::SymbolicQuantitativeCheckResult<storm::dd::DdType::Sylvan>& quantitativeResult3 = result->asSymbolicQuantitativeCheckResult<storm::dd::DdType::Sylvan, double>(); EXPECT_NEAR(1.0/6.0, quantitativeResult3.getMin(), storm::settings::getModule<storm::settings::modules::NativeEquationSolverSettings>().getPrecision()); EXPECT_NEAR(1.0/6.0, quantitativeResult3.getMax(), storm::settings::getModule<storm::settings::modules::NativeEquationSolverSettings>().getPrecision()); formula = formulaParser.parseSingleFormulaFromString("R=? [F \"done\"]"); result = checker.check(*formula); result->filter(storm::modelchecker::SymbolicQualitativeCheckResult<storm::dd::DdType::Sylvan>(model->getReachableStates(), model->getInitialStates())); storm::modelchecker::SymbolicQuantitativeCheckResult<storm::dd::DdType::Sylvan>& quantitativeResult4 = result->asSymbolicQuantitativeCheckResult<storm::dd::DdType::Sylvan, double>(); // FIXME: precision is not optimal.
EXPECT_NEAR(3.6666622161865234, quantitativeResult4.getMin(), 10 * storm::settings::getModule<storm::settings::modules::NativeEquationSolverSettings>().getPrecision()); EXPECT_NEAR(3.6666622161865234, quantitativeResult4.getMax(), 10 * storm::settings::getModule<storm::settings::modules::NativeEquationSolverSettings>().getPrecision()); }
TEST(SymbolicDtmcPrctlModelCheckerTest, Crowds_Cudd) { storm::prism::Program program = storm::parser::PrismParser::parse(STORM_CPP_TESTS_BASE_PATH "/functional/builder/crowds-5-5.pm"); // A parser that we use for conveniently constructing the formulas.
storm::parser::FormulaParser formulaParser; std::shared_ptr<storm::models::symbolic::Model<storm::dd::DdType::CUDD>> model = storm::builder::DdPrismModelBuilder<storm::dd::DdType::CUDD>().build(program); EXPECT_EQ(8607ul, model->getNumberOfStates()); EXPECT_EQ(15113ul, model->getNumberOfTransitions()); ASSERT_EQ(model->getType(), storm::models::ModelType::Dtmc); std::shared_ptr<storm::models::symbolic::Dtmc<storm::dd::DdType::CUDD>> dtmc = model->as<storm::models::symbolic::Dtmc<storm::dd::DdType::CUDD>>(); storm::modelchecker::SymbolicDtmcPrctlModelChecker<storm::dd::DdType::CUDD, double> checker(*dtmc, std::unique_ptr<storm::utility::solver::SymbolicLinearEquationSolverFactory<storm::dd::DdType::CUDD, double>>(new storm::utility::solver::SymbolicLinearEquationSolverFactory<storm::dd::DdType::CUDD, double>())); std::shared_ptr<storm::logic::Formula const> formula = formulaParser.parseSingleFormulaFromString("P=? [F \"observe0Greater1\"]"); std::unique_ptr<storm::modelchecker::CheckResult> result = checker.check(*formula); result->filter(storm::modelchecker::SymbolicQualitativeCheckResult<storm::dd::DdType::CUDD>(model->getReachableStates(), model->getInitialStates())); storm::modelchecker::SymbolicQuantitativeCheckResult<storm::dd::DdType::CUDD>& quantitativeResult1 = result->asSymbolicQuantitativeCheckResult<storm::dd::DdType::CUDD, double>(); EXPECT_NEAR(0.33288236360191303, quantitativeResult1.getMin(), storm::settings::getModule<storm::settings::modules::NativeEquationSolverSettings>().getPrecision()); EXPECT_NEAR(0.33288236360191303, quantitativeResult1.getMax(), storm::settings::getModule<storm::settings::modules::NativeEquationSolverSettings>().getPrecision()); formula = formulaParser.parseSingleFormulaFromString("P=? [F \"observeIGreater1\"]"); result = checker.check(*formula); result->filter(storm::modelchecker::SymbolicQualitativeCheckResult<storm::dd::DdType::CUDD>(model->getReachableStates(), model->getInitialStates())); storm::modelchecker::SymbolicQuantitativeCheckResult<storm::dd::DdType::CUDD>& quantitativeResult2 = result->asSymbolicQuantitativeCheckResult<storm::dd::DdType::CUDD, double>(); EXPECT_NEAR(0.15222081144084315, quantitativeResult2.getMin(), storm::settings::getModule<storm::settings::modules::NativeEquationSolverSettings>().getPrecision()); EXPECT_NEAR(0.15222081144084315, quantitativeResult2.getMax(), storm::settings::getModule<storm::settings::modules::NativeEquationSolverSettings>().getPrecision()); formula = formulaParser.parseSingleFormulaFromString("P=? [F \"observeOnlyTrueSender\"]"); result = checker.check(*formula); result->filter(storm::modelchecker::SymbolicQualitativeCheckResult<storm::dd::DdType::CUDD>(model->getReachableStates(), model->getInitialStates())); storm::modelchecker::SymbolicQuantitativeCheckResult<storm::dd::DdType::CUDD>& quantitativeResult3 = result->asSymbolicQuantitativeCheckResult<storm::dd::DdType::CUDD, double>(); EXPECT_NEAR(0.3215392962289586, quantitativeResult3.getMin(), storm::settings::getModule<storm::settings::modules::NativeEquationSolverSettings>().getPrecision()); EXPECT_NEAR(0.3215392962289586, quantitativeResult3.getMax(), storm::settings::getModule<storm::settings::modules::NativeEquationSolverSettings>().getPrecision()); }
TEST(SymbolicDtmcPrctlModelCheckerTest, Crowds_Sylvan) { storm::prism::Program program = storm::parser::PrismParser::parse(STORM_CPP_TESTS_BASE_PATH "/functional/builder/crowds-5-5.pm"); // A parser that we use for conveniently constructing the formulas.
storm::parser::FormulaParser formulaParser; std::shared_ptr<storm::models::symbolic::Model<storm::dd::DdType::Sylvan>> model = storm::builder::DdPrismModelBuilder<storm::dd::DdType::Sylvan>().build(program); EXPECT_EQ(8607ul, model->getNumberOfStates()); EXPECT_EQ(15113ul, model->getNumberOfTransitions()); ASSERT_EQ(model->getType(), storm::models::ModelType::Dtmc); std::shared_ptr<storm::models::symbolic::Dtmc<storm::dd::DdType::Sylvan>> dtmc = model->as<storm::models::symbolic::Dtmc<storm::dd::DdType::Sylvan>>(); storm::modelchecker::SymbolicDtmcPrctlModelChecker<storm::dd::DdType::Sylvan, double> checker(*dtmc, std::unique_ptr<storm::utility::solver::SymbolicLinearEquationSolverFactory<storm::dd::DdType::Sylvan, double>>(new storm::utility::solver::SymbolicLinearEquationSolverFactory<storm::dd::DdType::Sylvan, double>())); std::shared_ptr<storm::logic::Formula const> formula = formulaParser.parseSingleFormulaFromString("P=? [F \"observe0Greater1\"]"); std::unique_ptr<storm::modelchecker::CheckResult> result = checker.check(*formula); result->filter(storm::modelchecker::SymbolicQualitativeCheckResult<storm::dd::DdType::Sylvan>(model->getReachableStates(), model->getInitialStates())); storm::modelchecker::SymbolicQuantitativeCheckResult<storm::dd::DdType::Sylvan>& quantitativeResult1 = result->asSymbolicQuantitativeCheckResult<storm::dd::DdType::Sylvan, double>(); // FIXME: precision not optimal.
EXPECT_NEAR(0.33288236360191303, quantitativeResult1.getMin(), 10 * storm::settings::getModule<storm::settings::modules::NativeEquationSolverSettings>().getPrecision()); EXPECT_NEAR(0.33288236360191303, quantitativeResult1.getMax(), 10 * storm::settings::getModule<storm::settings::modules::NativeEquationSolverSettings>().getPrecision()); formula = formulaParser.parseSingleFormulaFromString("P=? [F \"observeIGreater1\"]"); result = checker.check(*formula); result->filter(storm::modelchecker::SymbolicQualitativeCheckResult<storm::dd::DdType::Sylvan>(model->getReachableStates(), model->getInitialStates())); storm::modelchecker::SymbolicQuantitativeCheckResult<storm::dd::DdType::Sylvan>& quantitativeResult2 = result->asSymbolicQuantitativeCheckResult<storm::dd::DdType::Sylvan, double>(); // FIXME: precision not optimal.
EXPECT_NEAR(0.15222081144084315, quantitativeResult2.getMin(), 10 * storm::settings::getModule<storm::settings::modules::NativeEquationSolverSettings>().getPrecision()); EXPECT_NEAR(0.15222081144084315, quantitativeResult2.getMax(), 10 * storm::settings::getModule<storm::settings::modules::NativeEquationSolverSettings>().getPrecision()); formula = formulaParser.parseSingleFormulaFromString("P=? [F \"observeOnlyTrueSender\"]"); result = checker.check(*formula); result->filter(storm::modelchecker::SymbolicQualitativeCheckResult<storm::dd::DdType::Sylvan>(model->getReachableStates(), model->getInitialStates())); storm::modelchecker::SymbolicQuantitativeCheckResult<storm::dd::DdType::Sylvan>& quantitativeResult3 = result->asSymbolicQuantitativeCheckResult<storm::dd::DdType::Sylvan, double>(); // FIXME: precision not optimal.
EXPECT_NEAR(0.3215392962289586, quantitativeResult3.getMin(), 10 * storm::settings::getModule<storm::settings::modules::NativeEquationSolverSettings>().getPrecision()); EXPECT_NEAR(0.3215392962289586, quantitativeResult3.getMax(), 10 * storm::settings::getModule<storm::settings::modules::NativeEquationSolverSettings>().getPrecision()); }
TEST(SymbolicDtmcPrctlModelCheckerTest, SynchronousLeader_Cudd) { storm::prism::Program program = storm::parser::PrismParser::parse(STORM_CPP_TESTS_BASE_PATH "/functional/builder/leader-3-5.pm"); // A parser that we use for conveniently constructing the formulas.
storm::parser::FormulaParser formulaParser; // Build the die model with its reward model.
#ifdef WINDOWS
storm::builder::DdPrismModelBuilder<storm::dd::DdType::CUDD>::Options options; #else
typename storm::builder::DdPrismModelBuilder<storm::dd::DdType::CUDD>::Options options; #endif
options.buildAllRewardModels = false; options.rewardModelsToBuild.insert("num_rounds"); std::shared_ptr<storm::models::symbolic::Model<storm::dd::DdType::CUDD>> model = storm::builder::DdPrismModelBuilder<storm::dd::DdType::CUDD>().build(program, options); EXPECT_EQ(273ul, model->getNumberOfStates()); EXPECT_EQ(397ul, model->getNumberOfTransitions()); ASSERT_EQ(model->getType(), storm::models::ModelType::Dtmc); std::shared_ptr<storm::models::symbolic::Dtmc<storm::dd::DdType::CUDD>> dtmc = model->as<storm::models::symbolic::Dtmc<storm::dd::DdType::CUDD>>(); storm::modelchecker::SymbolicDtmcPrctlModelChecker<storm::dd::DdType::CUDD, double> checker(*dtmc, std::unique_ptr<storm::utility::solver::SymbolicLinearEquationSolverFactory<storm::dd::DdType::CUDD, double>>(new storm::utility::solver::SymbolicLinearEquationSolverFactory<storm::dd::DdType::CUDD, double>())); std::shared_ptr<storm::logic::Formula const> formula = formulaParser.parseSingleFormulaFromString("P=? [F \"elected\"]"); std::unique_ptr<storm::modelchecker::CheckResult> result = checker.check(*formula); result->filter(storm::modelchecker::SymbolicQualitativeCheckResult<storm::dd::DdType::CUDD>(model->getReachableStates(), model->getInitialStates())); storm::modelchecker::SymbolicQuantitativeCheckResult<storm::dd::DdType::CUDD>& quantitativeResult1 = result->asSymbolicQuantitativeCheckResult<storm::dd::DdType::CUDD, double>(); EXPECT_NEAR(1.0, quantitativeResult1.getMin(), storm::settings::getModule<storm::settings::modules::NativeEquationSolverSettings>().getPrecision()); EXPECT_NEAR(1.0, quantitativeResult1.getMax(), storm::settings::getModule<storm::settings::modules::NativeEquationSolverSettings>().getPrecision()); formula = formulaParser.parseSingleFormulaFromString("P=? [F<=20 \"elected\"]"); result = checker.check(*formula); result->filter(storm::modelchecker::SymbolicQualitativeCheckResult<storm::dd::DdType::CUDD>(model->getReachableStates(), model->getInitialStates())); storm::modelchecker::SymbolicQuantitativeCheckResult<storm::dd::DdType::CUDD>& quantitativeResult2 = result->asSymbolicQuantitativeCheckResult<storm::dd::DdType::CUDD, double>(); EXPECT_NEAR(0.99999989760000074, quantitativeResult2.getMin(), storm::settings::getModule<storm::settings::modules::NativeEquationSolverSettings>().getPrecision()); EXPECT_NEAR(0.99999989760000074, quantitativeResult2.getMax(), storm::settings::getModule<storm::settings::modules::NativeEquationSolverSettings>().getPrecision()); formula = formulaParser.parseSingleFormulaFromString("R=? [F \"elected\"]"); result = checker.check(*formula); result->filter(storm::modelchecker::SymbolicQualitativeCheckResult<storm::dd::DdType::CUDD>(model->getReachableStates(), model->getInitialStates())); storm::modelchecker::SymbolicQuantitativeCheckResult<storm::dd::DdType::CUDD>& quantitativeResult3 = result->asSymbolicQuantitativeCheckResult<storm::dd::DdType::CUDD, double>(); EXPECT_NEAR(1.0416666666666643, quantitativeResult3.getMin(), storm::settings::getModule<storm::settings::modules::NativeEquationSolverSettings>().getPrecision()); EXPECT_NEAR(1.0416666666666643, quantitativeResult3.getMax(), storm::settings::getModule<storm::settings::modules::NativeEquationSolverSettings>().getPrecision()); }
TEST(SymbolicDtmcPrctlModelCheckerTest, SynchronousLeader_Sylvan) { storm::prism::Program program = storm::parser::PrismParser::parse(STORM_CPP_TESTS_BASE_PATH "/functional/builder/leader-3-5.pm"); // A parser that we use for conveniently constructing the formulas.
storm::parser::FormulaParser formulaParser; // Build the die model with its reward model.
#ifdef WINDOWS
storm::builder::DdPrismModelBuilder<storm::dd::DdType::Sylvan>::Options options; #else
typename storm::builder::DdPrismModelBuilder<storm::dd::DdType::Sylvan>::Options options; #endif
options.buildAllRewardModels = false; options.rewardModelsToBuild.insert("num_rounds"); std::shared_ptr<storm::models::symbolic::Model<storm::dd::DdType::Sylvan>> model = storm::builder::DdPrismModelBuilder<storm::dd::DdType::Sylvan>().build(program, options); EXPECT_EQ(273ul, model->getNumberOfStates()); EXPECT_EQ(397ul, model->getNumberOfTransitions()); ASSERT_EQ(model->getType(), storm::models::ModelType::Dtmc); std::shared_ptr<storm::models::symbolic::Dtmc<storm::dd::DdType::Sylvan>> dtmc = model->as<storm::models::symbolic::Dtmc<storm::dd::DdType::Sylvan>>(); storm::modelchecker::SymbolicDtmcPrctlModelChecker<storm::dd::DdType::Sylvan, double> checker(*dtmc, std::unique_ptr<storm::utility::solver::SymbolicLinearEquationSolverFactory<storm::dd::DdType::Sylvan, double>>(new storm::utility::solver::SymbolicLinearEquationSolverFactory<storm::dd::DdType::Sylvan, double>())); std::shared_ptr<storm::logic::Formula const> formula = formulaParser.parseSingleFormulaFromString("P=? [F \"elected\"]"); std::unique_ptr<storm::modelchecker::CheckResult> result = checker.check(*formula); result->filter(storm::modelchecker::SymbolicQualitativeCheckResult<storm::dd::DdType::Sylvan>(model->getReachableStates(), model->getInitialStates())); storm::modelchecker::SymbolicQuantitativeCheckResult<storm::dd::DdType::Sylvan>& quantitativeResult1 = result->asSymbolicQuantitativeCheckResult<storm::dd::DdType::Sylvan, double>(); EXPECT_NEAR(1.0, quantitativeResult1.getMin(), storm::settings::getModule<storm::settings::modules::NativeEquationSolverSettings>().getPrecision()); EXPECT_NEAR(1.0, quantitativeResult1.getMax(), storm::settings::getModule<storm::settings::modules::NativeEquationSolverSettings>().getPrecision()); formula = formulaParser.parseSingleFormulaFromString("P=? [F<=20 \"elected\"]"); result = checker.check(*formula); result->filter(storm::modelchecker::SymbolicQualitativeCheckResult<storm::dd::DdType::Sylvan>(model->getReachableStates(), model->getInitialStates())); storm::modelchecker::SymbolicQuantitativeCheckResult<storm::dd::DdType::Sylvan>& quantitativeResult2 = result->asSymbolicQuantitativeCheckResult<storm::dd::DdType::Sylvan, double>(); EXPECT_NEAR(0.99999989760000074, quantitativeResult2.getMin(), storm::settings::getModule<storm::settings::modules::NativeEquationSolverSettings>().getPrecision()); EXPECT_NEAR(0.99999989760000074, quantitativeResult2.getMax(), storm::settings::getModule<storm::settings::modules::NativeEquationSolverSettings>().getPrecision()); formula = formulaParser.parseSingleFormulaFromString("R=? [F \"elected\"]"); result = checker.check(*formula); result->filter(storm::modelchecker::SymbolicQualitativeCheckResult<storm::dd::DdType::Sylvan>(model->getReachableStates(), model->getInitialStates())); storm::modelchecker::SymbolicQuantitativeCheckResult<storm::dd::DdType::Sylvan>& quantitativeResult3 = result->asSymbolicQuantitativeCheckResult<storm::dd::DdType::Sylvan, double>(); EXPECT_NEAR(1.0416666666666643, quantitativeResult3.getMin(), storm::settings::getModule<storm::settings::modules::NativeEquationSolverSettings>().getPrecision()); EXPECT_NEAR(1.0416666666666643, quantitativeResult3.getMax(), storm::settings::getModule<storm::settings::modules::NativeEquationSolverSettings>().getPrecision()); }
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