test cases for ctmcs and markov automata

resources/examples/testfiles/ctmc/simple2.sm

@@ -0,0 +1,28 @@
+
+ctmc
+
+
+module main
+	
+	s : [0..4]; // current state:
+	
+	
+	<> s=0 -> 4 : (s'=1) + 4 : (s'=2);
+	<> s=1 -> 0.3 : (s'=2) + 0.7 : (s'=1);
+	<> s=2 -> 0.5 : (s'=2) + 0.5 : (s'=3);
+	<> s=3 -> 1 : (s'=4);
+	<> s=4 -> 1 : (s'=3);
+	
+endmodule
+
+rewards "rew1"
+	s=0 : 7;
+	[] s=2 : 1;
+endrewards
+
+
+rewards "rew2"
+	s=0 : 7;
+	[] s=2 : 1;
+	[] s=4 : 100;
+endrewards

resources/examples/testfiles/ma/simple2.ma

@@ -0,0 +1,40 @@
+
+ma
+
+
+module main
+	
+	s : [0..4]; // current state:
+	
+	
+	<> s=0 -> 4 : (s'=1) + 4 : (s'=2);
+	[alpha] s=1 -> 1 : (s'=0);
+	[beta] s=1 -> 0.3 : (s'=2) + 0.7 : (s'=1);
+	[gamma] s=2 -> 1 : (s'=1);
+	[delta] s=2 -> 0.5 : (s'=2) + 0.5 : (s'=3);
+	<> s=3 -> 1 : (s'=4);
+	[lambda] s=4 -> 1 : (s'=3);
+	
+endmodule
+
+rewards "rew0"
+	[delta] s=2 : 1;
+endrewards
+
+rewards "rew1"
+	s=0 : 7;
+	[delta] s=2 : 1;
+endrewards
+
+
+rewards "rew2"
+	s=0 : 7;
+	[delta] s=2 : 1;
+	[lambda] s=4 : 100;
+endrewards
+
+rewards "rew3"
+	s=0 : 7;
+	[delta] s=2 : 1;
+	[gamma] s=4 : 100;
+endrewards

src/test/storm/modelchecker/CtmcCslModelCheckerTest.cpp

@@ -140,6 +140,7 @@ namespace {
         ValueType precision() const { return TestType::isExact ? parseNumber("0") : parseNumber("1e-6");}
         bool isSparseModel() const { return std::is_same<typename TestType::ModelType, SparseModelType>::value; }
         bool isSymbolicModel() const { return std::is_same<typename TestType::ModelType, SymbolicModelType>::value; }
+        storm::settings::modules::CoreSettings::Engine getEngine() const { return TestType::engine; }
         
         template <typename MT = typename TestType::ModelType>
         typename std::enable_if<std::is_same<MT, SparseModelType>::value, std::pair<std::shared_ptr<MT>, std::vector<std::shared_ptr<storm::logic::Formula const>>>>::type
@@ -362,7 +363,29 @@ namespace {
         
         result = checker->check(this->env(), tasks[6]);
         EXPECT_NEAR(this->parseNumber("0.9100373532"), this->getQuantitativeResultAtInitialState(model, result), this->precision());
+    }
+    
+    TYPED_TEST(CtmcCslModelCheckerTest, simple2) {
+        std::string formulasString = "R{\"rew1\"}=? [ C ]";
+        formulasString += "; R{\"rew2\"}=? [ C ]";
         
+        auto modelFormulas = this->buildModelFormulas(STORM_TEST_RESOURCES_DIR "/ctmc/simple2.sm", formulasString);
+        auto model = std::move(modelFormulas.first);
+        auto tasks = this->getTasks(modelFormulas.second);
+        EXPECT_EQ(5ul, model->getNumberOfStates());
+        EXPECT_EQ(8ul, model->getNumberOfTransitions());
+        ASSERT_EQ(model->getType(), storm::models::ModelType::Ctmc);
+        auto checker = this->createModelChecker(model);
+        std::unique_ptr<storm::modelchecker::CheckResult> result;
+        
+        // Total reward formulas are currently not supported for non-sparse models.
+        if (this->isSparseModel()) {
+            result = checker->check(this->env(), tasks[0]);
+            EXPECT_NEAR(this->parseNumber("23/8"), this->getQuantitativeResultAtInitialState(model, result), this->precision());
+            
+            result = checker->check(this->env(), tasks[1]);
+            EXPECT_TRUE(storm::utility::isInfinity(this->getQuantitativeResultAtInitialState(model, result), this->precision()));
+        }
         
     }
 }

src/test/storm/modelchecker/MarkovAutomatonCslModelCheckerTest.cpp

@@ -0,0 +1,264 @@
+#include "gtest/gtest.h"
+#include "storm-config.h"
+
+#include "test/storm_gtest.h"
+
+#include "storm/api/builder.h"
+#include "storm-parsers/api/model_descriptions.h"
+#include "storm/api/properties.h"
+#include "storm-parsers/api/properties.h"
+
+#include "storm/models/sparse/MarkovAutomaton.h"
+#include "storm/models/symbolic/MarkovAutomaton.h"
+#include "storm/models/sparse/StandardRewardModel.h"
+#include "storm/modelchecker/csl/SparseMarkovAutomatonCslModelChecker.h"
+#include "storm/modelchecker/results/QuantitativeCheckResult.h"
+#include "storm/modelchecker/results/QualitativeCheckResult.h"
+#include "storm/modelchecker/results/ExplicitQualitativeCheckResult.h"
+#include "storm/environment/solver/MinMaxSolverEnvironment.h"
+#include "storm/environment/solver/TopologicalSolverEnvironment.h"
+#include "storm/settings/modules/CoreSettings.h"
+#include "storm/logic/Formulas.h"
+#include "storm/storage/jani/Property.h"
+#include "storm/exceptions/UncheckedRequirementException.h"
+
+namespace {
+    class SparseDoubleValueIterationEnvironment {
+    public:
+        static const storm::dd::DdType ddType = storm::dd::DdType::Sylvan; // Unused for sparse models
+        static const storm::settings::modules::CoreSettings::Engine engine = storm::settings::modules::CoreSettings::Engine::Sparse;
+        static const bool isExact = false;
+        typedef double ValueType;
+        typedef storm::models::sparse::MarkovAutomaton<ValueType> ModelType;
+        static storm::Environment createEnvironment() {
+            storm::Environment env;
+            env.solver().minMax().setMethod(storm::solver::MinMaxMethod::ValueIteration);
+            env.solver().minMax().setPrecision(storm::utility::convertNumber<storm::RationalNumber>(1e-10));
+            return env;
+        }
+    };
+    class SparseDoubleIntervalIterationEnvironment {
+    public:
+        static const storm::dd::DdType ddType = storm::dd::DdType::Sylvan; // Unused for sparse models
+        static const storm::settings::modules::CoreSettings::Engine engine = storm::settings::modules::CoreSettings::Engine::Sparse;
+        static const bool isExact = false;
+        typedef double ValueType;
+        typedef storm::models::sparse::MarkovAutomaton<ValueType> ModelType;
+        static storm::Environment createEnvironment() {
+            storm::Environment env;
+            env.solver().setForceSoundness(true);
+            env.solver().minMax().setMethod(storm::solver::MinMaxMethod::IntervalIteration);
+            env.solver().minMax().setPrecision(storm::utility::convertNumber<storm::RationalNumber>(1e-6));
+            env.solver().minMax().setRelativeTerminationCriterion(false);
+            return env;
+        }
+    };
+    class SparseRationalPolicyIterationEnvironment {
+    public:
+        static const storm::dd::DdType ddType = storm::dd::DdType::Sylvan; // Unused for sparse models
+        static const storm::settings::modules::CoreSettings::Engine engine = storm::settings::modules::CoreSettings::Engine::Sparse;
+        static const bool isExact = true;
+        typedef storm::RationalNumber ValueType;
+        typedef storm::models::sparse::MarkovAutomaton<ValueType> ModelType;
+        static storm::Environment createEnvironment() {
+            storm::Environment env;
+            env.solver().minMax().setMethod(storm::solver::MinMaxMethod::PolicyIteration);
+            return env;
+        }
+    };
+    class SparseRationalRationalSearchEnvironment {
+    public:
+        static const storm::dd::DdType ddType = storm::dd::DdType::Sylvan; // Unused for sparse models
+        static const storm::settings::modules::CoreSettings::Engine engine = storm::settings::modules::CoreSettings::Engine::Sparse;
+        static const bool isExact = true;
+        typedef storm::RationalNumber ValueType;
+        typedef storm::models::sparse::MarkovAutomaton<ValueType> ModelType;
+        static storm::Environment createEnvironment() {
+            storm::Environment env;
+            env.solver().minMax().setMethod(storm::solver::MinMaxMethod::RationalSearch);
+            return env;
+        }
+    };
+
+    template<typename TestType>
+    class MarkovAutomatonCslModelCheckerTest : public ::testing::Test {
+    public:
+        typedef typename TestType::ValueType ValueType;
+        typedef typename storm::models::sparse::MarkovAutomaton<ValueType> SparseModelType;
+        typedef typename storm::models::symbolic::MarkovAutomaton<TestType::ddType, ValueType> SymbolicModelType;
+        
+        MarkovAutomatonCslModelCheckerTest() : _environment(TestType::createEnvironment()) {}
+        storm::Environment const& env() const { return _environment; }
+        ValueType parseNumber(std::string const& input) const { return storm::utility::convertNumber<ValueType>(input);}
+        ValueType precision() const { return TestType::isExact ? parseNumber("0") : parseNumber("1e-6");}
+        bool isSparseModel() const { return std::is_same<typename TestType::ModelType, SparseModelType>::value; }
+        bool isSymbolicModel() const { return std::is_same<typename TestType::ModelType, SymbolicModelType>::value; }
+        
+        template <typename MT = typename TestType::ModelType>
+        typename std::enable_if<std::is_same<MT, SparseModelType>::value, std::pair<std::shared_ptr<MT>, std::vector<std::shared_ptr<storm::logic::Formula const>>>>::type
+        buildModelFormulas(std::string const& pathToPrismFile, std::string const& formulasAsString, std::string const& constantDefinitionString = "") const {
+            std::pair<std::shared_ptr<MT>, std::vector<std::shared_ptr<storm::logic::Formula const>>> result;
+            storm::prism::Program program = storm::api::parseProgram(pathToPrismFile);
+            program = storm::utility::prism::preprocess(program, constantDefinitionString);
+            result.second = storm::api::extractFormulasFromProperties(storm::api::parsePropertiesForPrismProgram(formulasAsString, program));
+            result.first = storm::api::buildSparseModel<ValueType>(program, result.second)->template as<MT>();
+            return result;
+        }
+        
+        template <typename MT = typename TestType::ModelType>
+        typename std::enable_if<std::is_same<MT, SymbolicModelType>::value, std::pair<std::shared_ptr<MT>, std::vector<std::shared_ptr<storm::logic::Formula const>>>>::type
+        buildModelFormulas(std::string const& pathToPrismFile, std::string const& formulasAsString, std::string const& constantDefinitionString = "") const {
+            std::pair<std::shared_ptr<MT>, std::vector<std::shared_ptr<storm::logic::Formula const>>> result;
+            storm::prism::Program program = storm::api::parseProgram(pathToPrismFile);
+            program = storm::utility::prism::preprocess(program, constantDefinitionString);
+            result.second = storm::api::extractFormulasFromProperties(storm::api::parsePropertiesForPrismProgram(formulasAsString, program));
+            result.first = storm::api::buildSymbolicModel<TestType::ddType, ValueType>(program, result.second)->template as<MT>();
+            return result;
+        }
+        
+        std::vector<storm::modelchecker::CheckTask<storm::logic::Formula, ValueType>> getTasks(std::vector<std::shared_ptr<storm::logic::Formula const>> const& formulas) const {
+            std::vector<storm::modelchecker::CheckTask<storm::logic::Formula, ValueType>> result;
+            for (auto const& f : formulas) {
+                result.emplace_back(*f);
+            }
+            return result;
+        }
+        
+        template <typename MT = typename TestType::ModelType>
+        typename std::enable_if<std::is_same<MT, SparseModelType>::value, std::shared_ptr<storm::modelchecker::AbstractModelChecker<MT>>>::type
+        createModelChecker(std::shared_ptr<MT> const& model) const {
+            if (TestType::engine == storm::settings::modules::CoreSettings::Engine::Sparse) {
+                return std::make_shared<storm::modelchecker::SparseMarkovAutomatonCslModelChecker<SparseModelType>>(*model);
+            }
+        }
+        
+        template <typename MT = typename TestType::ModelType>
+        typename std::enable_if<std::is_same<MT, SymbolicModelType>::value, std::shared_ptr<storm::modelchecker::AbstractModelChecker<MT>>>::type
+        createModelChecker(std::shared_ptr<MT> const& model) const {
+            if (TestType::engine == storm::settings::modules::CoreSettings::Engine::Hybrid) {
+                return std::make_shared<storm::modelchecker::HybridMarkovAutomatonCslModelChecker<SymbolicModelType>>(*model);
+            } else if (TestType::engine == storm::settings::modules::CoreSettings::Engine::Dd) {
+                return std::make_shared<storm::modelchecker::SymbolicMarkovAutomatonCslModelChecker<SymbolicModelType>>(*model);
+            }
+        }
+        
+        bool getQualitativeResultAtInitialState(std::shared_ptr<storm::models::Model<ValueType>> const& model, std::unique_ptr<storm::modelchecker::CheckResult>& result) {
+            auto filter = getInitialStateFilter(model);
+            result->filter(*filter);
+            return result->asQualitativeCheckResult().forallTrue();
+        }
+        
+        ValueType getQuantitativeResultAtInitialState(std::shared_ptr<storm::models::Model<ValueType>> const& model, std::unique_ptr<storm::modelchecker::CheckResult>& result) {
+            auto filter = getInitialStateFilter(model);
+            result->filter(*filter);
+            return result->asQuantitativeCheckResult<ValueType>().getMin();
+        }
+    
+    private:
+        storm::Environment _environment;
+        
+        std::unique_ptr<storm::modelchecker::QualitativeCheckResult> getInitialStateFilter(std::shared_ptr<storm::models::Model<ValueType>> const& model) const {
+            if (isSparseModel()) {
+                return std::make_unique<storm::modelchecker::ExplicitQualitativeCheckResult>(model->template as<SparseModelType>()->getInitialStates());
+            } else {
+                return std::make_unique<storm::modelchecker::SymbolicQualitativeCheckResult<TestType::ddType>>(model->template as<SymbolicModelType>()->getReachableStates(), model->template as<SymbolicModelType>()->getInitialStates());
+            }
+        }
+    };
+  
+    typedef ::testing::Types<
+            SparseDoubleValueIterationEnvironment,
+            SparseDoubleIntervalIterationEnvironment,
+            SparseRationalPolicyIterationEnvironment,
+            SparseRationalRationalSearchEnvironment,
+        > TestingTypes;
+    
+    TYPED_TEST_CASE(MarkovAutomatonCslModelCheckerTest, TestingTypes);
+    
+
+    TYPED_TEST(MarkovAutomatonCslModelCheckerTest, server) {
+        std::string formulasString = "Tmax=? [F \"error\"]";
+                 formulasString += "; Pmax=? [F \"processB\"]";
+                 formulasString += "; Pmax=? [F<1 \"error\"]";
+        
+        auto modelFormulas = this->buildModelFormulas(STORM_TEST_RESOURCES_DIR "/ma/server.ma", formulasString);
+        auto model = std::move(modelFormulas.first);
+        auto tasks = this->getTasks(modelFormulas.second);
+        EXPECT_EQ(6ul, model->getNumberOfStates());
+        EXPECT_EQ(10ul, model->getNumberOfTransitions());
+        ASSERT_EQ(model->getType(), storm::models::ModelType::MarkovAutomaton);
+        auto checker = this->createModelChecker(model);
+        std::unique_ptr<storm::modelchecker::CheckResult> result;
+        
+        result = checker->check(this->env(), tasks[0]);
+        EXPECT_NEAR(this->parseNumber("11/6"), this->getQuantitativeResultAtInitialState(model, result), this->precision());
+        
+        result = checker->check(this->env(), tasks[1]);
+        EXPECT_NEAR(this->parseNumber("2/3"), this->getQuantitativeResultAtInitialState(model, result), this->precision());
+        
+        result = checker->check(this->env(), tasks[2]);
+        EXPECT_NEAR(this->parseNumber("0.455504"), this->getQuantitativeResultAtInitialState(model, result), this->precision());
+        
+    }
+    
+    TYPED_TEST(MarkovAutomatonCslModelCheckerTest, simple) {
+        std::string formulasString = "Pmin=? [F<1 s>2]";
+                 formulasString += "; Pmax=? [F<1.3 s=3]";
+
+        auto modelFormulas = this->buildModelFormulas(STORM_TEST_RESOURCES_DIR "/ma/simple.ma", formulasString);
+        auto model = std::move(modelFormulas.first);
+        auto tasks = this->getTasks(modelFormulas.second);
+        EXPECT_EQ(5ul, model->getNumberOfStates());
+        EXPECT_EQ(8ul, model->getNumberOfTransitions());
+        ASSERT_EQ(model->getType(), storm::models::ModelType::MarkovAutomaton);
+        auto checker = this->createModelChecker(model);
+        std::unique_ptr<storm::modelchecker::CheckResult> result;
+        
+        result = checker->check(this->env(), tasks[0]);
+        EXPECT_NEAR(this->parseNumber("0.6321205588"), this->getQuantitativeResultAtInitialState(model, result), this->precision());
+        
+        result = checker->check(this->env(), tasks[1]);
+        EXPECT_NEAR(this->parseNumber("0.727468207"), this->getQuantitativeResultAtInitialState(model, result), this->precision());
+    }
+    
+    TYPED_TEST(MarkovAutomatonCslModelCheckerTest, simple2) {
+        std::string formulasString = "R{\"rew0\"}max=? [C]";
+                    formulasString += "; R{\"rew0\"}min=? [C]";
+                    formulasString += "; R{\"rew1\"}max=? [C]";
+                    formulasString += "; R{\"rew1\"}min=? [C]";
+                    formulasString += "; R{\"rew2\"}max=? [C]";
+                    formulasString += "; R{\"rew2\"}min=? [C]";
+                    formulasString += "; R{\"rew3\"}min=? [C]";
+        
+        auto modelFormulas = this->buildModelFormulas(STORM_TEST_RESOURCES_DIR "/ma/simple2.nm", formulasString);
+        auto model = std::move(modelFormulas.first);
+        auto tasks = this->getTasks(modelFormulas.second);
+        EXPECT_EQ(5ul, model->getNumberOfStates());
+        EXPECT_EQ(8ul, model->getNumberOfTransitions());
+        ASSERT_EQ(model->getType(), storm::models::ModelType::MarkovAutomaton);
+        auto checker = this->createModelChecker(model);
+        std::unique_ptr<storm::modelchecker::CheckResult> result;
+
+        result = checker->check(this->env(), tasks[0]);
+        EXPECT_NEAR(this->parseNumber("2"), this->getQuantitativeResultAtInitialState(model, result), this->precision());
+ 
+        result = checker->check(this->env(), tasks[1]);
+        EXPECT_NEAR(this->parseNumber("0"), this->getQuantitativeResultAtInitialState(model, result), this->precision());
+ 
+        result = checker->check(this->env(), tasks[2]);
+        EXPECT_TRUE(storm::utility::isInfinity(this->getQuantitativeResultAtInitialState(model, result)));
+ 
+        result = checker->check(this->env(), tasks[3]);
+        EXPECT_NEAR(this->parseNumber("7/8"), this->getQuantitativeResultAtInitialState(model, result), this->precision());
+ 
+        result = checker->check(this->env(), tasks[4]);
+        EXPECT_TRUE(storm::utility::isInfinity(this->getQuantitativeResultAtInitialState(model, result)));
+ 
+        result = checker->check(this->env(), tasks[5]);
+        EXPECT_NEAR(this->parseNumber("7/8"), this->getQuantitativeResultAtInitialState(model, result), this->precision());
+ 
+        result = checker->check(this->env(), tasks[6]);
+        EXPECT_TRUE(storm::utility::isInfinity(this->getQuantitativeResultAtInitialState(model, result)));
+ 
+    }
+}