445 lines
34 KiB

#include "test/storm_gtest.h"
#include "storm-config.h"
#ifdef STORM_HAVE_CARL
#include "storm/adapters/RationalFunctionAdapter.h"
#include "storm-pars/api/storm-pars.h"
#include "storm/api/storm.h"
#include "storm-parsers/api/storm-parsers.h"
#include "storm/environment/solver/MinMaxSolverEnvironment.h"
#include "storm/storage/jani/Property.h"
namespace {
class DoubleViEnvironment {
public:
typedef double ValueType;
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-8));
return env;
}
};
class DoubleSVIEnvironment {
public:
typedef double ValueType;
static storm::Environment createEnvironment() {
storm::Environment env;
env.solver().minMax().setMethod(storm::solver::MinMaxMethod::SoundValueIteration);
env.solver().minMax().setPrecision(storm::utility::convertNumber<storm::RationalNumber>(1e-6));
return env;
}
};
class RationalPiEnvironment {
public:
typedef storm::RationalNumber ValueType;
static storm::Environment createEnvironment() {
storm::Environment env;
env.solver().minMax().setMethod(storm::solver::MinMaxMethod::PolicyIteration);
return env;
}
};
template<typename TestType>
class SparseDtmcParameterLiftingTest : public ::testing::Test {
public:
typedef typename TestType::ValueType ValueType;
SparseDtmcParameterLiftingTest() : _environment(TestType::createEnvironment()) {}
storm::Environment const& env() const { return _environment; }
virtual void SetUp() { carl::VariablePool::getInstance().clear(); }
virtual void TearDown() { carl::VariablePool::getInstance().clear(); }
private:
storm::Environment _environment;
};
typedef ::testing::Types<
DoubleViEnvironment,
DoubleSVIEnvironment,
RationalPiEnvironment
> TestingTypes;
TYPED_TEST_SUITE(SparseDtmcParameterLiftingTest, TestingTypes,);
TYPED_TEST(SparseDtmcParameterLiftingTest, Brp_Prob) {
typedef typename TestFixture::ValueType ValueType;
std::string programFile = STORM_TEST_RESOURCES_DIR "/pdtmc/brp16_2.pm";
std::string formulaAsString = "P<=0.84 [F s=5 ]";
std::string constantsAsString = ""; //e.g. pL=0.9,TOACK=0.5
// Program and formula
storm::prism::Program program = storm::api::parseProgram(programFile);
program = storm::utility::prism::preprocess(program, constantsAsString);
std::vector<std::shared_ptr<const storm::logic::Formula>> formulas = storm::api::extractFormulasFromProperties(storm::api::parsePropertiesForPrismProgram(formulaAsString, program));
std::shared_ptr<storm::models::sparse::Dtmc<storm::RationalFunction>> model = storm::api::buildSparseModel<storm::RationalFunction>(program, formulas)->as<storm::models::sparse::Dtmc<storm::RationalFunction>>();
auto modelParameters = storm::models::sparse::getProbabilityParameters(*model);
auto rewParameters = storm::models::sparse::getRewardParameters(*model);
modelParameters.insert(rewParameters.begin(), rewParameters.end());
auto regionChecker = storm::api::initializeParameterLiftingRegionModelChecker<storm::RationalFunction, ValueType>(this->env(), model, storm::api::createTask<storm::RationalFunction>(formulas[0], true));
//start testing
auto allSatRegion=storm::api::parseRegion<storm::RationalFunction>("0.7<=pL<=0.9,0.75<=pK<=0.95", modelParameters);
auto exBothRegion=storm::api::parseRegion<storm::RationalFunction>("0.4<=pL<=0.65,0.75<=pK<=0.95", modelParameters);
auto allVioRegion=storm::api::parseRegion<storm::RationalFunction>("0.1<=pL<=0.73,0.2<=pK<=0.715", modelParameters);
EXPECT_EQ(storm::modelchecker::RegionResult::AllSat, regionChecker->analyzeRegion(this->env(), allSatRegion, storm::modelchecker::RegionResultHypothesis::Unknown, storm::modelchecker::RegionResult::Unknown, true));
EXPECT_EQ(storm::modelchecker::RegionResult::ExistsBoth, regionChecker->analyzeRegion(this->env(), exBothRegion, storm::modelchecker::RegionResultHypothesis::Unknown,storm::modelchecker::RegionResult::Unknown, true));
EXPECT_EQ(storm::modelchecker::RegionResult::AllViolated, regionChecker->analyzeRegion(this->env(), allVioRegion, storm::modelchecker::RegionResultHypothesis::Unknown,storm::modelchecker::RegionResult::Unknown, true));
}
TYPED_TEST(SparseDtmcParameterLiftingTest, Brp_Prob_no_simplification) {
typedef typename TestFixture::ValueType ValueType;
std::string programFile = STORM_TEST_RESOURCES_DIR "/pdtmc/brp16_2.pm";
std::string formulaAsString = "P<=0.84 [F s=5 ]";
std::string constantsAsString = ""; //e.g. pL=0.9,TOACK=0.5
// Program and formula
storm::prism::Program program = storm::api::parseProgram(programFile);
program = storm::utility::prism::preprocess(program, constantsAsString);
std::vector<std::shared_ptr<const storm::logic::Formula>> formulas = storm::api::extractFormulasFromProperties(storm::api::parsePropertiesForPrismProgram(formulaAsString, program));
std::shared_ptr<storm::models::sparse::Dtmc<storm::RationalFunction>> model = storm::api::buildSparseModel<storm::RationalFunction>(program, formulas)->as<storm::models::sparse::Dtmc<storm::RationalFunction>>();
auto modelParameters = storm::models::sparse::getProbabilityParameters(*model);
auto rewParameters = storm::models::sparse::getRewardParameters(*model);
modelParameters.insert(rewParameters.begin(), rewParameters.end());
auto regionChecker = storm::api::initializeParameterLiftingRegionModelChecker<storm::RationalFunction, ValueType>(this->env(), model, storm::api::createTask<storm::RationalFunction>(formulas[0], true), false, false);
//start testing
auto allSatRegion=storm::api::parseRegion<storm::RationalFunction>("0.7<=pL<=0.9,0.75<=pK<=0.95", modelParameters);
auto exBothRegion=storm::api::parseRegion<storm::RationalFunction>("0.4<=pL<=0.65,0.75<=pK<=0.95", modelParameters);
auto allVioRegion=storm::api::parseRegion<storm::RationalFunction>("0.1<=pL<=0.73,0.2<=pK<=0.715", modelParameters);
EXPECT_EQ(storm::modelchecker::RegionResult::AllSat, regionChecker->analyzeRegion(this->env(), allSatRegion, storm::modelchecker::RegionResultHypothesis::Unknown, storm::modelchecker::RegionResult::Unknown, true));
EXPECT_EQ(storm::modelchecker::RegionResult::ExistsBoth, regionChecker->analyzeRegion(this->env(), exBothRegion, storm::modelchecker::RegionResultHypothesis::Unknown,storm::modelchecker::RegionResult::Unknown, true));
EXPECT_EQ(storm::modelchecker::RegionResult::AllViolated, regionChecker->analyzeRegion(this->env(), allVioRegion, storm::modelchecker::RegionResultHypothesis::Unknown,storm::modelchecker::RegionResult::Unknown, true));
}
TYPED_TEST(SparseDtmcParameterLiftingTest, Brp_Rew) {
typedef typename TestFixture::ValueType ValueType;
std::string programFile = STORM_TEST_RESOURCES_DIR "/pdtmc/brp_rewards16_2.pm";
std::string formulaAsString = "R>2.5 [F ((s=5) | (s=0&srep=3)) ]";
std::string constantsAsString = "pL=0.9,TOAck=0.5";
storm::prism::Program program = storm::api::parseProgram(programFile);
program = storm::utility::prism::preprocess(program, constantsAsString);
std::vector<std::shared_ptr<const storm::logic::Formula>> formulas = storm::api::extractFormulasFromProperties(storm::api::parsePropertiesForPrismProgram(formulaAsString, program));
std::shared_ptr<storm::models::sparse::Dtmc<storm::RationalFunction>> model = storm::api::buildSparseModel<storm::RationalFunction>(program, formulas)->as<storm::models::sparse::Dtmc<storm::RationalFunction>>();
auto modelParameters = storm::models::sparse::getProbabilityParameters(*model);
auto rewParameters = storm::models::sparse::getRewardParameters(*model);
modelParameters.insert(rewParameters.begin(), rewParameters.end());
auto regionChecker = storm::api::initializeParameterLiftingRegionModelChecker<storm::RationalFunction, ValueType>(this->env(), model, storm::api::createTask<storm::RationalFunction>(formulas[0], true));
//start testing
auto allSatRegion=storm::api::parseRegion<storm::RationalFunction>("0.7<=pK<=0.875,0.75<=TOMsg<=0.95", modelParameters);
auto exBothRegion=storm::api::parseRegion<storm::RationalFunction>("0.6<=pK<=0.9,0.5<=TOMsg<=0.95", modelParameters);
auto allVioRegion=storm::api::parseRegion<storm::RationalFunction>("0.1<=pK<=0.3,0.2<=TOMsg<=0.3", modelParameters);
EXPECT_EQ(storm::modelchecker::RegionResult::AllSat, regionChecker->analyzeRegion(this->env(), allSatRegion, storm::modelchecker::RegionResultHypothesis::Unknown, storm::modelchecker::RegionResult::Unknown, true));
EXPECT_EQ(storm::modelchecker::RegionResult::ExistsBoth, regionChecker->analyzeRegion(this->env(), exBothRegion, storm::modelchecker::RegionResultHypothesis::Unknown, storm::modelchecker::RegionResult::Unknown, true));
EXPECT_EQ(storm::modelchecker::RegionResult::AllViolated, regionChecker->analyzeRegion(this->env(), allVioRegion, storm::modelchecker::RegionResultHypothesis::Unknown, storm::modelchecker::RegionResult::Unknown, true));
}
TYPED_TEST(SparseDtmcParameterLiftingTest, Brp_Rew_Bounded) {
typedef typename TestFixture::ValueType ValueType;
std::string programFile = STORM_TEST_RESOURCES_DIR "/pdtmc/brp_rewards16_2.pm";
std::string formulaAsString = "R>2.5 [ C<=300]";
std::string constantsAsString = "pL=0.9,TOAck=0.5";
storm::prism::Program program = storm::api::parseProgram(programFile);
program = storm::utility::prism::preprocess(program, constantsAsString);
std::vector<std::shared_ptr<const storm::logic::Formula>> formulas = storm::api::extractFormulasFromProperties(storm::api::parsePropertiesForPrismProgram(formulaAsString, program));
std::shared_ptr<storm::models::sparse::Dtmc<storm::RationalFunction>> model = storm::api::buildSparseModel<storm::RationalFunction>(program, formulas)->as<storm::models::sparse::Dtmc<storm::RationalFunction>>();
auto modelParameters = storm::models::sparse::getProbabilityParameters(*model);
auto rewParameters = storm::models::sparse::getRewardParameters(*model);
modelParameters.insert(rewParameters.begin(), rewParameters.end());
auto regionChecker = storm::api::initializeParameterLiftingRegionModelChecker<storm::RationalFunction, ValueType>(this->env(), model, storm::api::createTask<storm::RationalFunction>(formulas[0], true));
//start testing
auto allSatRegion=storm::api::parseRegion<storm::RationalFunction>("0.7<=pK<=0.875,0.75<=TOMsg<=0.95", modelParameters);
auto exBothRegion=storm::api::parseRegion<storm::RationalFunction>("0.6<=pK<=0.9,0.5<=TOMsg<=0.95", modelParameters);
auto allVioRegion=storm::api::parseRegion<storm::RationalFunction>("0.1<=pK<=0.3,0.2<=TOMsg<=0.3", modelParameters);
EXPECT_EQ(storm::modelchecker::RegionResult::AllSat, regionChecker->analyzeRegion(this->env(), allSatRegion, storm::modelchecker::RegionResultHypothesis::Unknown, storm::modelchecker::RegionResult::Unknown, true));
EXPECT_EQ(storm::modelchecker::RegionResult::ExistsBoth, regionChecker->analyzeRegion(this->env(), exBothRegion, storm::modelchecker::RegionResultHypothesis::Unknown, storm::modelchecker::RegionResult::Unknown, true));
EXPECT_EQ(storm::modelchecker::RegionResult::AllViolated, regionChecker->analyzeRegion(this->env(), allVioRegion, storm::modelchecker::RegionResultHypothesis::Unknown, storm::modelchecker::RegionResult::Unknown, true));
}
TYPED_TEST(SparseDtmcParameterLiftingTest, Brp_Prob_exactValidation) {
typedef typename TestFixture::ValueType ValueType;
if (!std::is_same<ValueType, storm::RationalNumber>::value) {
std::string programFile = STORM_TEST_RESOURCES_DIR "/pdtmc/brp16_2.pm";
std::string formulaAsString = "P<=0.84 [F s=5 ]";
std::string constantsAsString = ""; //e.g. pL=0.9,TOACK=0.5
// Program and formula
storm::prism::Program program = storm::api::parseProgram(programFile);
program = storm::utility::prism::preprocess(program, constantsAsString);
std::vector<std::shared_ptr<const storm::logic::Formula>> formulas = storm::api::extractFormulasFromProperties(storm::api::parsePropertiesForPrismProgram(formulaAsString, program));
std::shared_ptr<storm::models::sparse::Dtmc<storm::RationalFunction>> model = storm::api::buildSparseModel<storm::RationalFunction>(program, formulas)->as<storm::models::sparse::Dtmc<storm::RationalFunction>>();
auto regionChecker = storm::api::initializeValidatingRegionModelChecker<storm::RationalFunction, ValueType, storm::RationalNumber>(this->env(), model, storm::api::createTask<storm::RationalFunction>(formulas[0], true));
auto modelParameters = storm::models::sparse::getProbabilityParameters(*model);
auto rewParameters = storm::models::sparse::getRewardParameters(*model);
modelParameters.insert(rewParameters.begin(), rewParameters.end());
//start testing
auto allSatRegion=storm::api::parseRegion<storm::RationalFunction>("0.7<=pL<=0.9,0.75<=pK<=0.95", modelParameters);
auto exBothRegion=storm::api::parseRegion<storm::RationalFunction>("0.4<=pL<=0.65,0.75<=pK<=0.95", modelParameters);
auto allVioRegion=storm::api::parseRegion<storm::RationalFunction>("0.1<=pL<=0.73,0.2<=pK<=0.715", modelParameters);
EXPECT_EQ(storm::modelchecker::RegionResult::AllSat, regionChecker->analyzeRegion(this->env(), allSatRegion, storm::modelchecker::RegionResultHypothesis::Unknown, storm::modelchecker::RegionResult::Unknown, true));
EXPECT_EQ(storm::modelchecker::RegionResult::ExistsBoth, regionChecker->analyzeRegion(this->env(), exBothRegion, storm::modelchecker::RegionResultHypothesis::Unknown, storm::modelchecker::RegionResult::Unknown, true));
EXPECT_EQ(storm::modelchecker::RegionResult::AllViolated, regionChecker->analyzeRegion(this->env(), allVioRegion, storm::modelchecker::RegionResultHypothesis::Unknown, storm::modelchecker::RegionResult::Unknown, true));
}
}
TYPED_TEST(SparseDtmcParameterLiftingTest, Brp_Rew_exactValidation) {
typedef typename TestFixture::ValueType ValueType;
if (!std::is_same<ValueType, storm::RationalNumber>::value) {
std::string programFile = STORM_TEST_RESOURCES_DIR "/pdtmc/brp_rewards16_2.pm";
std::string formulaAsString = "R>2.5 [F ((s=5) | (s=0&srep=3)) ]";
std::string constantsAsString = "pL=0.9,TOAck=0.5";
storm::prism::Program program = storm::api::parseProgram(programFile);
program = storm::utility::prism::preprocess(program, constantsAsString);
std::vector<std::shared_ptr<const storm::logic::Formula>> formulas = storm::api::extractFormulasFromProperties(storm::api::parsePropertiesForPrismProgram(formulaAsString, program));
std::shared_ptr<storm::models::sparse::Dtmc<storm::RationalFunction>> model = storm::api::buildSparseModel<storm::RationalFunction>(program, formulas)->as<storm::models::sparse::Dtmc<storm::RationalFunction>>();
auto modelParameters = storm::models::sparse::getProbabilityParameters(*model);
auto rewParameters = storm::models::sparse::getRewardParameters(*model);
modelParameters.insert(rewParameters.begin(), rewParameters.end());
auto regionChecker = storm::api::initializeValidatingRegionModelChecker<storm::RationalFunction, ValueType, storm::RationalNumber>(this->env(), model, storm::api::createTask<storm::RationalFunction>(formulas[0], true));
//start testing
auto allSatRegion=storm::api::parseRegion<storm::RationalFunction>("0.7<=pK<=0.875,0.75<=TOMsg<=0.95", modelParameters);
auto exBothRegion=storm::api::parseRegion<storm::RationalFunction>("0.6<=pK<=0.9,0.5<=TOMsg<=0.95", modelParameters);
auto allVioRegion=storm::api::parseRegion<storm::RationalFunction>("0.1<=pK<=0.3,0.2<=TOMsg<=0.3", modelParameters);
EXPECT_EQ(storm::modelchecker::RegionResult::AllSat, regionChecker->analyzeRegion(this->env(), allSatRegion, storm::modelchecker::RegionResultHypothesis::Unknown, storm::modelchecker::RegionResult::Unknown, true));
EXPECT_EQ(storm::modelchecker::RegionResult::ExistsBoth, regionChecker->analyzeRegion(this->env(), exBothRegion, storm::modelchecker::RegionResultHypothesis::Unknown, storm::modelchecker::RegionResult::Unknown, true));
EXPECT_EQ(storm::modelchecker::RegionResult::AllViolated, regionChecker->analyzeRegion(this->env(), allVioRegion, storm::modelchecker::RegionResultHypothesis::Unknown, storm::modelchecker::RegionResult::Unknown, true));
}
}
TYPED_TEST(SparseDtmcParameterLiftingTest, Brp_Rew_Bounded_exactValidation) {
typedef typename TestFixture::ValueType ValueType;
if (!std::is_same<ValueType, storm::RationalNumber>::value) {
std::string programFile = STORM_TEST_RESOURCES_DIR "/pdtmc/brp_rewards16_2.pm";
std::string formulaAsString = "R>2.5 [ C<=300]";
std::string constantsAsString = "pL=0.9,TOAck=0.5";
storm::prism::Program program = storm::api::parseProgram(programFile);
program = storm::utility::prism::preprocess(program, constantsAsString);
std::vector<std::shared_ptr<const storm::logic::Formula>> formulas = storm::api::extractFormulasFromProperties(storm::api::parsePropertiesForPrismProgram(formulaAsString, program));
std::shared_ptr<storm::models::sparse::Dtmc<storm::RationalFunction>> model = storm::api::buildSparseModel<storm::RationalFunction>(program, formulas)->as<storm::models::sparse::Dtmc<storm::RationalFunction>>();
auto modelParameters = storm::models::sparse::getProbabilityParameters(*model);
auto rewParameters = storm::models::sparse::getRewardParameters(*model);
modelParameters.insert(rewParameters.begin(), rewParameters.end());
auto regionChecker = storm::api::initializeValidatingRegionModelChecker<storm::RationalFunction, ValueType, storm::RationalNumber>(this->env(), model, storm::api::createTask<storm::RationalFunction>(formulas[0], true));
//start testing
auto allSatRegion=storm::api::parseRegion<storm::RationalFunction>("0.7<=pK<=0.875,0.75<=TOMsg<=0.95", modelParameters);
auto exBothRegion=storm::api::parseRegion<storm::RationalFunction>("0.6<=pK<=0.9,0.5<=TOMsg<=0.95", modelParameters);
auto allVioRegion=storm::api::parseRegion<storm::RationalFunction>("0.1<=pK<=0.3,0.2<=TOMsg<=0.3", modelParameters);
EXPECT_EQ(storm::modelchecker::RegionResult::AllSat, regionChecker->analyzeRegion(this->env(), allSatRegion, storm::modelchecker::RegionResultHypothesis::Unknown, storm::modelchecker::RegionResult::Unknown, true));
EXPECT_EQ(storm::modelchecker::RegionResult::ExistsBoth, regionChecker->analyzeRegion(this->env(), exBothRegion, storm::modelchecker::RegionResultHypothesis::Unknown, storm::modelchecker::RegionResult::Unknown, true));
EXPECT_EQ(storm::modelchecker::RegionResult::AllViolated, regionChecker->analyzeRegion(this->env(), allVioRegion, storm::modelchecker::RegionResultHypothesis::Unknown, storm::modelchecker::RegionResult::Unknown, true));
}
}
TYPED_TEST(SparseDtmcParameterLiftingTest, Brp_Rew_Infty) {
typedef typename TestFixture::ValueType ValueType;
std::string programFile = STORM_TEST_RESOURCES_DIR "/pdtmc/brp_rewards16_2.pm";
std::string formulaAsString = "R>2.5 [F (s=0&srep=3) ]";
std::string constantsAsString = "";
storm::prism::Program program = storm::api::parseProgram(programFile);
program = storm::utility::prism::preprocess(program, constantsAsString);
std::vector<std::shared_ptr<const storm::logic::Formula>> formulas = storm::api::extractFormulasFromProperties(storm::api::parsePropertiesForPrismProgram(formulaAsString, program));
std::shared_ptr<storm::models::sparse::Dtmc<storm::RationalFunction>> model = storm::api::buildSparseModel<storm::RationalFunction>(program, formulas)->as<storm::models::sparse::Dtmc<storm::RationalFunction>>();
auto modelParameters = storm::models::sparse::getProbabilityParameters(*model);
auto rewParameters = storm::models::sparse::getRewardParameters(*model);
modelParameters.insert(rewParameters.begin(), rewParameters.end());
auto regionChecker = storm::api::initializeParameterLiftingRegionModelChecker<storm::RationalFunction, ValueType>(this->env(), model, storm::api::createTask<storm::RationalFunction>(formulas[0], true));
//start testing
auto allSatRegion=storm::api::parseRegion<storm::RationalFunction>("0.7<=pK<=0.9,0.6<=pL<=0.85,0.9<=TOMsg<=0.95,0.85<=TOAck<=0.9", modelParameters);
EXPECT_EQ(storm::modelchecker::RegionResult::AllSat, regionChecker->analyzeRegion(this->env(), allSatRegion, storm::modelchecker::RegionResultHypothesis::Unknown, storm::modelchecker::RegionResult::Unknown, true));
}
TYPED_TEST(SparseDtmcParameterLiftingTest, Brp_Rew_4Par) {
typedef typename TestFixture::ValueType ValueType;
std::string programFile = STORM_TEST_RESOURCES_DIR "/pdtmc/brp_rewards16_2.pm";
std::string formulaAsString = "R>2.5 [F ((s=5) | (s=0&srep=3)) ]";
std::string constantsAsString = ""; //!! this model will have 4 parameters
storm::prism::Program program = storm::api::parseProgram(programFile);
program = storm::utility::prism::preprocess(program, constantsAsString);
std::vector<std::shared_ptr<const storm::logic::Formula>> formulas = storm::api::extractFormulasFromProperties(storm::api::parsePropertiesForPrismProgram(formulaAsString, program));
std::shared_ptr<storm::models::sparse::Dtmc<storm::RationalFunction>> model = storm::api::buildSparseModel<storm::RationalFunction>(program, formulas)->as<storm::models::sparse::Dtmc<storm::RationalFunction>>();
auto modelParameters = storm::models::sparse::getProbabilityParameters(*model);
auto rewParameters = storm::models::sparse::getRewardParameters(*model);
modelParameters.insert(rewParameters.begin(), rewParameters.end());
auto regionChecker = storm::api::initializeParameterLiftingRegionModelChecker<storm::RationalFunction, ValueType>(this->env(), model, storm::api::createTask<storm::RationalFunction>(formulas[0], true));
//start testing
auto allSatRegion=storm::api::parseRegion<storm::RationalFunction>("0.7<=pK<=0.9,0.6<=pL<=0.85,0.9<=TOMsg<=0.95,0.85<=TOAck<=0.9", modelParameters);
auto exBothRegion=storm::api::parseRegion<storm::RationalFunction>("0.1<=pK<=0.7,0.2<=pL<=0.8,0.15<=TOMsg<=0.65,0.3<=TOAck<=0.9", modelParameters);
auto allVioRegion=storm::api::parseRegion<storm::RationalFunction>("0.1<=pK<=0.4,0.2<=pL<=0.3,0.15<=TOMsg<=0.3,0.1<=TOAck<=0.2", modelParameters);
EXPECT_EQ(storm::modelchecker::RegionResult::AllSat, regionChecker->analyzeRegion(this->env(), allSatRegion, storm::modelchecker::RegionResultHypothesis::Unknown, storm::modelchecker::RegionResult::Unknown, true));
EXPECT_EQ(storm::modelchecker::RegionResult::ExistsBoth, regionChecker->analyzeRegion(this->env(), exBothRegion, storm::modelchecker::RegionResultHypothesis::Unknown, storm::modelchecker::RegionResult::Unknown, true));
EXPECT_EQ(storm::modelchecker::RegionResult::AllViolated, regionChecker->analyzeRegion(this->env(), allVioRegion, storm::modelchecker::RegionResultHypothesis::Unknown, storm::modelchecker::RegionResult::Unknown, true));
}
TYPED_TEST(SparseDtmcParameterLiftingTest, Crowds_Prob) {
typedef typename TestFixture::ValueType ValueType;
std::string programFile = STORM_TEST_RESOURCES_DIR "/pdtmc/crowds3_5.pm";
std::string formulaAsString = "P<0.5 [F \"observe0Greater1\" ]";
std::string constantsAsString = ""; //e.g. pL=0.9,TOACK=0.5
storm::prism::Program program = storm::api::parseProgram(programFile);
program = storm::utility::prism::preprocess(program, constantsAsString);
std::vector<std::shared_ptr<const storm::logic::Formula>> formulas = storm::api::extractFormulasFromProperties(storm::api::parsePropertiesForPrismProgram(formulaAsString, program));
std::shared_ptr<storm::models::sparse::Dtmc<storm::RationalFunction>> model = storm::api::buildSparseModel<storm::RationalFunction>(program, formulas)->as<storm::models::sparse::Dtmc<storm::RationalFunction>>();
auto modelParameters = storm::models::sparse::getProbabilityParameters(*model);
auto rewParameters = storm::models::sparse::getRewardParameters(*model);
modelParameters.insert(rewParameters.begin(), rewParameters.end());
auto regionChecker = storm::api::initializeParameterLiftingRegionModelChecker<storm::RationalFunction, ValueType>(this->env(), model, storm::api::createTask<storm::RationalFunction>(formulas[0], true));
//start testing
auto allSatRegion=storm::api::parseRegion<storm::RationalFunction>("0.1<=PF<=0.75,0.15<=badC<=0.2", modelParameters);
auto exBothRegion=storm::api::parseRegion<storm::RationalFunction>("0.75<=PF<=0.8,0.2<=badC<=0.3", modelParameters);
auto allVioRegion=storm::api::parseRegion<storm::RationalFunction>("0.8<=PF<=0.95,0.2<=badC<=0.2", modelParameters);
auto allVioHardRegion=storm::api::parseRegion<storm::RationalFunction>("0.8<=PF<=0.95,0.2<=badC<=0.9", modelParameters);
EXPECT_EQ(storm::modelchecker::RegionResult::AllSat, regionChecker->analyzeRegion(this->env(), allSatRegion, storm::modelchecker::RegionResultHypothesis::Unknown, storm::modelchecker::RegionResult::Unknown, true));
EXPECT_EQ(storm::modelchecker::RegionResult::ExistsBoth, regionChecker->analyzeRegion(this->env(), exBothRegion, storm::modelchecker::RegionResultHypothesis::Unknown, storm::modelchecker::RegionResult::Unknown, true));
EXPECT_EQ(storm::modelchecker::RegionResult::AllViolated, regionChecker->analyzeRegion(this->env(), allVioRegion, storm::modelchecker::RegionResultHypothesis::Unknown, storm::modelchecker::RegionResult::Unknown, true));
EXPECT_EQ(storm::modelchecker::RegionResult::CenterViolated, regionChecker->analyzeRegion(this->env(), allVioHardRegion, storm::modelchecker::RegionResultHypothesis::Unknown, storm::modelchecker::RegionResult::Unknown, true));
}
TYPED_TEST(SparseDtmcParameterLiftingTest, Crowds_Prob_stepBounded) {
typedef typename TestFixture::ValueType ValueType;
std::string programFile = STORM_TEST_RESOURCES_DIR "/pdtmc/crowds3_5.pm";
std::string formulaAsString = "P<0.5 [F<=300 \"observe0Greater1\" ]";
std::string constantsAsString = ""; //e.g. pL=0.9,TOACK=0.5
storm::prism::Program program = storm::api::parseProgram(programFile);
program = storm::utility::prism::preprocess(program, constantsAsString);
std::vector<std::shared_ptr<const storm::logic::Formula>> formulas = storm::api::extractFormulasFromProperties(storm::api::parsePropertiesForPrismProgram(formulaAsString, program));
std::shared_ptr<storm::models::sparse::Dtmc<storm::RationalFunction>> model = storm::api::buildSparseModel<storm::RationalFunction>(program, formulas)->as<storm::models::sparse::Dtmc<storm::RationalFunction>>();
auto modelParameters = storm::models::sparse::getProbabilityParameters(*model);
auto rewParameters = storm::models::sparse::getRewardParameters(*model);
modelParameters.insert(rewParameters.begin(), rewParameters.end());
auto regionChecker = storm::api::initializeParameterLiftingRegionModelChecker<storm::RationalFunction, ValueType>(this->env(), model, storm::api::createTask<storm::RationalFunction>(formulas[0], true));
//start testing
auto allSatRegion=storm::api::parseRegion<storm::RationalFunction>("0.1<=PF<=0.75,0.15<=badC<=0.2", modelParameters);
auto exBothRegion=storm::api::parseRegion<storm::RationalFunction>("0.75<=PF<=0.8,0.2<=badC<=0.3", modelParameters);
auto allVioRegion=storm::api::parseRegion<storm::RationalFunction>("0.8<=PF<=0.95,0.2<=badC<=0.2", modelParameters);
auto allVioHardRegion=storm::api::parseRegion<storm::RationalFunction>("0.8<=PF<=0.95,0.2<=badC<=0.9", modelParameters);
EXPECT_EQ(storm::modelchecker::RegionResult::AllSat, regionChecker->analyzeRegion(this->env(), allSatRegion, storm::modelchecker::RegionResultHypothesis::Unknown, storm::modelchecker::RegionResult::Unknown, true));
EXPECT_EQ(storm::modelchecker::RegionResult::ExistsBoth, regionChecker->analyzeRegion(this->env(), exBothRegion, storm::modelchecker::RegionResultHypothesis::Unknown, storm::modelchecker::RegionResult::Unknown, true));
EXPECT_EQ(storm::modelchecker::RegionResult::AllViolated, regionChecker->analyzeRegion(this->env(), allVioRegion, storm::modelchecker::RegionResultHypothesis::Unknown, storm::modelchecker::RegionResult::Unknown, true));
EXPECT_EQ(storm::modelchecker::RegionResult::CenterViolated, regionChecker->analyzeRegion(this->env(), allVioHardRegion, storm::modelchecker::RegionResultHypothesis::Unknown, storm::modelchecker::RegionResult::Unknown, true));
}
TYPED_TEST(SparseDtmcParameterLiftingTest, Crowds_Prob_1Par) {
typedef typename TestFixture::ValueType ValueType;
std::string programFile = STORM_TEST_RESOURCES_DIR "/pdtmc/crowds3_5.pm";
std::string formulaAsString = "P>0.75 [F \"observe0Greater1\" ]";
std::string constantsAsString = "badC=0.3"; //e.g. pL=0.9,TOACK=0.5
storm::prism::Program program = storm::api::parseProgram(programFile);
program = storm::utility::prism::preprocess(program, constantsAsString);
std::vector<std::shared_ptr<const storm::logic::Formula>> formulas = storm::api::extractFormulasFromProperties(storm::api::parsePropertiesForPrismProgram(formulaAsString, program));
std::shared_ptr<storm::models::sparse::Dtmc<storm::RationalFunction>> model = storm::api::buildSparseModel<storm::RationalFunction>(program, formulas)->as<storm::models::sparse::Dtmc<storm::RationalFunction>>();
auto modelParameters = storm::models::sparse::getProbabilityParameters(*model);
auto rewParameters = storm::models::sparse::getRewardParameters(*model);
modelParameters.insert(rewParameters.begin(), rewParameters.end());
auto regionChecker = storm::api::initializeParameterLiftingRegionModelChecker<storm::RationalFunction, ValueType>(this->env(), model, storm::api::createTask<storm::RationalFunction>(formulas[0], true));
//start testing
auto allSatRegion=storm::api::parseRegion<storm::RationalFunction>("0.9<=PF<=0.99", modelParameters);
auto exBothRegion=storm::api::parseRegion<storm::RationalFunction>("0.8<=PF<=0.9", modelParameters);
auto allVioRegion=storm::api::parseRegion<storm::RationalFunction>("0.01<=PF<=0.8", modelParameters);
EXPECT_EQ(storm::modelchecker::RegionResult::AllSat, regionChecker->analyzeRegion(this->env(), allSatRegion, storm::modelchecker::RegionResultHypothesis::Unknown, storm::modelchecker::RegionResult::Unknown, true));
EXPECT_EQ(storm::modelchecker::RegionResult::ExistsBoth, regionChecker->analyzeRegion(this->env(), exBothRegion, storm::modelchecker::RegionResultHypothesis::Unknown, storm::modelchecker::RegionResult::Unknown, true));
EXPECT_EQ(storm::modelchecker::RegionResult::AllViolated, regionChecker->analyzeRegion(this->env(), allVioRegion, storm::modelchecker::RegionResultHypothesis::Unknown, storm::modelchecker::RegionResult::Unknown, true));
}
TYPED_TEST(SparseDtmcParameterLiftingTest, Crowds_Prob_Const) {
typedef typename TestFixture::ValueType ValueType;
std::string programFile = STORM_TEST_RESOURCES_DIR "/pdtmc/crowds3_5.pm";
std::string formulaAsString = "P>0.6 [F \"observe0Greater1\" ]";
std::string constantsAsString = "PF=0.9,badC=0.2";
storm::prism::Program program = storm::api::parseProgram(programFile);
program = storm::utility::prism::preprocess(program, constantsAsString);
std::vector<std::shared_ptr<const storm::logic::Formula>> formulas = storm::api::extractFormulasFromProperties(storm::api::parsePropertiesForPrismProgram(formulaAsString, program));
std::shared_ptr<storm::models::sparse::Dtmc<storm::RationalFunction>> model = storm::api::buildSparseModel<storm::RationalFunction>(program, formulas)->as<storm::models::sparse::Dtmc<storm::RationalFunction>>();
auto modelParameters = storm::models::sparse::getProbabilityParameters(*model);
auto rewParameters = storm::models::sparse::getRewardParameters(*model);
modelParameters.insert(rewParameters.begin(), rewParameters.end());
auto regionChecker = storm::api::initializeParameterLiftingRegionModelChecker<storm::RationalFunction, ValueType>(this->env(), model, storm::api::createTask<storm::RationalFunction>(formulas[0], true));
//start testing
auto allSatRegion=storm::api::parseRegion<storm::RationalFunction>("", modelParameters);
EXPECT_EQ(storm::modelchecker::RegionResult::AllSat, regionChecker->analyzeRegion(this->env(), allSatRegion, storm::modelchecker::RegionResultHypothesis::Unknown, storm::modelchecker::RegionResult::Unknown, true));
}
}
#endif