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210 lines
15 KiB
210 lines
15 KiB
#include "gtest/gtest.h"
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#include "storm-config.h"
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#include "src/parser/FormulaParser.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/SymbolicDtmcPrctlModelChecker.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/PrismParser.h"
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#include "src/builder/DdPrismModelBuilder.h"
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#include "src/models/symbolic/StandardRewardModel.h"
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#include "src/models/symbolic/Dtmc.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(SymbolicDtmcPrctlModelCheckerTest, SynchronousLeader_Cudd) {
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storm::prism::Program program = storm::parser::PrismParser::parse(STORM_CPP_TESTS_BASE_PATH "/performance/builder/leader5_8.pm");
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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("num_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(131521ul, model->getNumberOfStates());
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EXPECT_EQ(164288ul, model->getNumberOfTransitions());
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ASSERT_EQ(model->getType(), storm::models::ModelType::Dtmc);
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std::shared_ptr<storm::models::symbolic::Dtmc<storm::dd::DdType::CUDD>> dtmc = model->as<storm::models::symbolic::Dtmc<storm::dd::DdType::CUDD>>();
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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>()));
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std::shared_ptr<const storm::logic::Formula> formula = formulaParser.parseSingleFormulaFromString("P=? [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(1.0, quantitativeResult1.getMin(), storm::settings::nativeEquationSolverSettings().getPrecision());
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EXPECT_NEAR(1.0, quantitativeResult1.getMax(), storm::settings::nativeEquationSolverSettings().getPrecision());
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formula = formulaParser.parseSingleFormulaFromString("P=? [F<=20 \"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(0.9999947917094687, quantitativeResult2.getMin(), storm::settings::nativeEquationSolverSettings().getPrecision());
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EXPECT_NEAR(0.9999947917094687, quantitativeResult2.getMax(), storm::settings::nativeEquationSolverSettings().getPrecision());
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formula = formulaParser.parseSingleFormulaFromString("R=? [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>& quantitativeResult3 = result->asSymbolicQuantitativeCheckResult<storm::dd::DdType::CUDD, double>();
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EXPECT_NEAR(1.0176397951004841, quantitativeResult3.getMin(), storm::settings::nativeEquationSolverSettings().getPrecision());
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EXPECT_NEAR(1.0176397951004841, quantitativeResult3.getMax(), storm::settings::nativeEquationSolverSettings().getPrecision());
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}
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TEST(SymbolicDtmcPrctlModelCheckerTest, SynchronousLeader_Sylvan) {
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storm::prism::Program program = storm::parser::PrismParser::parse(STORM_CPP_TESTS_BASE_PATH "/performance/builder/leader5_8.pm");
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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("num_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(131521ul, model->getNumberOfStates());
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EXPECT_EQ(164288ul, model->getNumberOfTransitions());
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ASSERT_EQ(model->getType(), storm::models::ModelType::Dtmc);
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std::shared_ptr<storm::models::symbolic::Dtmc<storm::dd::DdType::Sylvan>> dtmc = model->as<storm::models::symbolic::Dtmc<storm::dd::DdType::Sylvan>>();
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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>()));
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std::shared_ptr<const storm::logic::Formula> formula = formulaParser.parseSingleFormulaFromString("P=? [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(1.0, quantitativeResult1.getMin(), storm::settings::nativeEquationSolverSettings().getPrecision());
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EXPECT_NEAR(1.0, quantitativeResult1.getMax(), storm::settings::nativeEquationSolverSettings().getPrecision());
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formula = formulaParser.parseSingleFormulaFromString("P=? [F<=20 \"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(0.9999947917094687, quantitativeResult2.getMin(), storm::settings::nativeEquationSolverSettings().getPrecision());
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EXPECT_NEAR(0.9999947917094687, quantitativeResult2.getMax(), storm::settings::nativeEquationSolverSettings().getPrecision());
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formula = formulaParser.parseSingleFormulaFromString("R=? [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>& quantitativeResult3 = result->asSymbolicQuantitativeCheckResult<storm::dd::DdType::Sylvan, double>();
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EXPECT_NEAR(1.0176397951004841, quantitativeResult3.getMin(), storm::settings::nativeEquationSolverSettings().getPrecision());
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EXPECT_NEAR(1.0176397951004841, quantitativeResult3.getMax(), storm::settings::nativeEquationSolverSettings().getPrecision());
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}
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TEST(SymbolicDtmcPrctlModelCheckerTest, Crowds_Cudd) {
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storm::prism::Program program = storm::parser::PrismParser::parse(STORM_CPP_TESTS_BASE_PATH "/performance/builder/crowds15_5.pm");
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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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std::shared_ptr<storm::models::symbolic::Model<storm::dd::DdType::CUDD>> model = storm::builder::DdPrismModelBuilder<storm::dd::DdType::CUDD>().translateProgram(program);
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EXPECT_EQ(586242ul, model->getNumberOfStates());
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EXPECT_EQ(1753883ul, model->getNumberOfTransitions());
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ASSERT_EQ(model->getType(), storm::models::ModelType::Dtmc);
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std::shared_ptr<storm::models::symbolic::Dtmc<storm::dd::DdType::CUDD>> dtmc = model->as<storm::models::symbolic::Dtmc<storm::dd::DdType::CUDD>>();
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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>()));
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std::shared_ptr<const storm::logic::Formula> formula = formulaParser.parseSingleFormulaFromString("P=? [F \"observe0Greater1\"]");
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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(0.24084538502812078, quantitativeResult1.getMin(), storm::settings::nativeEquationSolverSettings().getPrecision());
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EXPECT_NEAR(0.24084538502812078, quantitativeResult1.getMax(), storm::settings::nativeEquationSolverSettings().getPrecision());
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formula = formulaParser.parseSingleFormulaFromString("P=? [F \"observeIGreater1\"]");
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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(0.065569806085001583, quantitativeResult2.getMin(), storm::settings::nativeEquationSolverSettings().getPrecision());
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EXPECT_NEAR(0.065569806085001583, quantitativeResult2.getMax(), storm::settings::nativeEquationSolverSettings().getPrecision());
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formula = formulaParser.parseSingleFormulaFromString("P=? [F \"observeOnlyTrueSender\"]");
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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(0.23773283919051694, quantitativeResult3.getMin(), storm::settings::nativeEquationSolverSettings().getPrecision());
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EXPECT_NEAR(0.23773283919051694, quantitativeResult3.getMax(), storm::settings::nativeEquationSolverSettings().getPrecision());
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}
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TEST(SymbolicDtmcPrctlModelCheckerTest, Crowds_Sylvan) {
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storm::prism::Program program = storm::parser::PrismParser::parse(STORM_CPP_TESTS_BASE_PATH "/performance/builder/crowds15_5.pm");
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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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std::shared_ptr<storm::models::symbolic::Model<storm::dd::DdType::Sylvan>> model = storm::builder::DdPrismModelBuilder<storm::dd::DdType::Sylvan>().translateProgram(program);
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EXPECT_EQ(586242ul, model->getNumberOfStates());
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EXPECT_EQ(1753883ul, model->getNumberOfTransitions());
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ASSERT_EQ(model->getType(), storm::models::ModelType::Dtmc);
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std::shared_ptr<storm::models::symbolic::Dtmc<storm::dd::DdType::Sylvan>> dtmc = model->as<storm::models::symbolic::Dtmc<storm::dd::DdType::Sylvan>>();
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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>()));
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std::shared_ptr<const storm::logic::Formula> formula = formulaParser.parseSingleFormulaFromString("P=? [F \"observe0Greater1\"]");
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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(0.24084538502812078, quantitativeResult1.getMin(), storm::settings::nativeEquationSolverSettings().getPrecision());
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EXPECT_NEAR(0.24084538502812078, quantitativeResult1.getMax(), storm::settings::nativeEquationSolverSettings().getPrecision());
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formula = formulaParser.parseSingleFormulaFromString("P=? [F \"observeIGreater1\"]");
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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(0.065569806085001583, quantitativeResult2.getMin(), storm::settings::nativeEquationSolverSettings().getPrecision());
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EXPECT_NEAR(0.065569806085001583, quantitativeResult2.getMax(), storm::settings::nativeEquationSolverSettings().getPrecision());
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formula = formulaParser.parseSingleFormulaFromString("P=? [F \"observeOnlyTrueSender\"]");
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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(0.23773283919051694, quantitativeResult3.getMin(), storm::settings::nativeEquationSolverSettings().getPrecision());
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EXPECT_NEAR(0.23773283919051694, quantitativeResult3.getMax(), storm::settings::nativeEquationSolverSettings().getPrecision());
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}
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