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extended MDP model checker test

tempestpy_adaptions
TimQu 7 years ago
parent
commit
6911d50985
  1. 210
      src/test/storm/modelchecker/MdpPrctlModelCheckerTest.cpp

210
src/test/storm/modelchecker/MdpPrctlModelCheckerTest.cpp

@ -3,8 +3,10 @@
#include "test/storm_gtest.h"
#include "storm/parser/FormulaParser.h"
#include "storm/logic/Formulas.h"
#include "storm/api/builder.h"
#include "storm/api/model_descriptions.h"
#include "storm/api/properties.h"
#include "storm/models/sparse/Mdp.h"
#include "storm/models/symbolic/Mdp.h"
#include "storm/models/sparse/StandardRewardModel.h"
@ -15,35 +17,31 @@
#include "storm/modelchecker/results/ExplicitQualitativeCheckResult.h"
#include "storm/modelchecker/results/SymbolicQualitativeCheckResult.h"
#include "storm/modelchecker/results/QualitativeCheckResult.h"
#include "storm/settings/SettingsManager.h"
#include "storm/api/builder.h"
#include "storm/api/model_descriptions.h"
#include "storm/api/properties.h"
#include "storm/environment/solver/MinMaxSolverEnvironment.h"
#include "storm/settings/modules/GeneralSettings.h"
#include "storm/settings/modules/CoreSettings.h"
#include "storm/parser/AutoParser.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::Mdp<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-8));
env.solver().minMax().setPrecision(storm::utility::convertNumber<storm::RationalNumber>(1e-10));
return env;
}
// TODO: this should be part of the environment
static storm::settings::modules::CoreSettings::Engine engine() { return storm::settings::modules::CoreSettings::Engine::Sparse; }
};
class SparseDoubleSoundValueIterationEnvironment {
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::Mdp<ValueType> ModelType;
@ -54,12 +52,11 @@ namespace {
env.solver().minMax().setPrecision(storm::utility::convertNumber<storm::RationalNumber>(1e-6));
return env;
}
// TODO: this should be part of the environment
static storm::settings::modules::CoreSettings::Engine engine() { return storm::settings::modules::CoreSettings::Engine::Sparse; }
};
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::Mdp<ValueType> ModelType;
@ -68,12 +65,11 @@ namespace {
env.solver().minMax().setMethod(storm::solver::MinMaxMethod::PolicyIteration);
return env;
}
// TODO: this should be part of the environment
static storm::settings::modules::CoreSettings::Engine engine() { return storm::settings::modules::CoreSettings::Engine::Sparse; }
};
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::Mdp<ValueType> ModelType;
@ -82,10 +78,119 @@ namespace {
env.solver().minMax().setMethod(storm::solver::MinMaxMethod::RationalSearch);
return env;
}
// TODO: this should be part of the environment
static storm::settings::modules::CoreSettings::Engine engine() { return storm::settings::modules::CoreSettings::Engine::Sparse; }
};
class HybridCuddDoubleValueIterationEnvironment {
public:
static const storm::dd::DdType ddType = storm::dd::DdType::CUDD;
static const storm::settings::modules::CoreSettings::Engine engine = storm::settings::modules::CoreSettings::Engine::Hybrid;
static const bool isExact = false;
typedef double ValueType;
typedef storm::models::symbolic::Mdp<ddType, 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 HybridSylvanDoubleValueIterationEnvironment {
public:
static const storm::dd::DdType ddType = storm::dd::DdType::Sylvan;
static const storm::settings::modules::CoreSettings::Engine engine = storm::settings::modules::CoreSettings::Engine::Hybrid;
static const bool isExact = false;
typedef double ValueType;
typedef storm::models::symbolic::Mdp<ddType, 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 HybridCuddDoubleSoundValueIterationEnvironment {
public:
static const storm::dd::DdType ddType = storm::dd::DdType::CUDD;
static const storm::settings::modules::CoreSettings::Engine engine = storm::settings::modules::CoreSettings::Engine::Hybrid;
static const bool isExact = false;
typedef double ValueType;
typedef storm::models::symbolic::Mdp<ddType, ValueType> ModelType;
static storm::Environment createEnvironment() {
storm::Environment env;
env.solver().setForceSoundness(true);
env.solver().minMax().setMethod(storm::solver::MinMaxMethod::ValueIteration);
env.solver().minMax().setPrecision(storm::utility::convertNumber<storm::RationalNumber>(1e-6));
return env;
}
};
class HybridSylvanRationalPolicyIterationEnvironment {
public:
static const storm::dd::DdType ddType = storm::dd::DdType::Sylvan;
static const storm::settings::modules::CoreSettings::Engine engine = storm::settings::modules::CoreSettings::Engine::Hybrid;
static const bool isExact = true;
typedef storm::RationalNumber ValueType;
typedef storm::models::symbolic::Mdp<ddType, ValueType> ModelType;
static storm::Environment createEnvironment() {
storm::Environment env;
env.solver().minMax().setMethod(storm::solver::MinMaxMethod::PolicyIteration);
return env;
}
};
class DdCuddDoubleValueIterationEnvironment {
public:
static const storm::dd::DdType ddType = storm::dd::DdType::CUDD;
static const storm::settings::modules::CoreSettings::Engine engine = storm::settings::modules::CoreSettings::Engine::Dd;
static const bool isExact = false;
typedef double ValueType;
typedef storm::models::symbolic::Mdp<ddType, 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 DdSylvanDoubleValueIterationEnvironment {
public:
static const storm::dd::DdType ddType = storm::dd::DdType::Sylvan;
static const storm::settings::modules::CoreSettings::Engine engine = storm::settings::modules::CoreSettings::Engine::Dd;
static const bool isExact = false;
typedef double ValueType;
typedef storm::models::symbolic::Mdp<ddType, 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 DdCuddDoublePolicyIterationEnvironment {
public:
static const storm::dd::DdType ddType = storm::dd::DdType::CUDD;
static const storm::settings::modules::CoreSettings::Engine engine = storm::settings::modules::CoreSettings::Engine::Dd;
static const bool isExact = false;
typedef double ValueType;
typedef storm::models::symbolic::Mdp<ddType, ValueType> ModelType;
static storm::Environment createEnvironment() {
storm::Environment env;
env.solver().minMax().setMethod(storm::solver::MinMaxMethod::PolicyIteration);
env.solver().minMax().setPrecision(storm::utility::convertNumber<storm::RationalNumber>(1e-10));
return env;
}
};
class DdSylvanRationalRationalSearchEnvironment {
public:
static const storm::dd::DdType ddType = storm::dd::DdType::Sylvan;
static const storm::settings::modules::CoreSettings::Engine engine = storm::settings::modules::CoreSettings::Engine::Dd;
static const bool isExact = true;
typedef storm::RationalNumber ValueType;
typedef storm::models::symbolic::Mdp<ddType, ValueType> ModelType;
static storm::Environment createEnvironment() {
storm::Environment env;
env.solver().minMax().setMethod(storm::solver::MinMaxMethod::RationalSearch);
return env;
}
};
template<typename TestType>
class MdpPrctlModelCheckerTest : public ::testing::Test {
public:
@ -133,15 +238,17 @@ namespace {
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 {
return std::make_shared<storm::modelchecker::SparseMdpPrctlModelChecker<SparseModelType>>(*model);
if (TestType::engine == storm::settings::modules::CoreSettings::Engine::Sparse) {
return std::make_shared<storm::modelchecker::SparseMdpPrctlModelChecker<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) {
if (TestType::engine == storm::settings::modules::CoreSettings::Engine::Hybrid) {
return std::make_shared<storm::modelchecker::HybridMdpPrctlModelChecker<SymbolicModelType>>(*model);
} else if (TestType::engine() == storm::settings::modules::CoreSettings::Engine::Dd) {
} else if (TestType::engine == storm::settings::modules::CoreSettings::Engine::Dd) {
return std::make_shared<storm::modelchecker::SymbolicMdpPrctlModelChecker<SymbolicModelType>>(*model);
}
}
@ -174,8 +281,16 @@ namespace {
SparseDoubleValueIterationEnvironment,
SparseDoubleSoundValueIterationEnvironment,
SparseRationalPolicyIterationEnvironment,
SparseRationalRationalSearchEnvironment
> TestingTypes;
SparseRationalRationalSearchEnvironment,
HybridCuddDoubleValueIterationEnvironment,
HybridSylvanDoubleValueIterationEnvironment,
HybridCuddDoubleSoundValueIterationEnvironment,
HybridSylvanRationalPolicyIterationEnvironment,
DdCuddDoubleValueIterationEnvironment,
DdSylvanDoubleValueIterationEnvironment,
DdCuddDoublePolicyIterationEnvironment,
DdSylvanRationalRationalSearchEnvironment
> TestingTypes;
TYPED_TEST_CASE(MdpPrctlModelCheckerTest, TestingTypes);
@ -261,6 +376,42 @@ namespace {
EXPECT_NEAR(this->parseNumber("30/7"), this->getQuantitativeResultAtInitialState(model, result), this->precision());
}
TYPED_TEST(MdpPrctlModelCheckerTest, consensus) {
std::string formulasString = "Pmax=? [F \"finished\"]";
formulasString += "; Pmax=? [F \"all_coins_equal_1\"]";
formulasString += "; Rmax=? [F \"all_coins_equal_1\"]";
formulasString += "; Rmin=? [F \"all_coins_equal_1\"]";
formulasString += "; Rmax=? [F \"finished\"]";
formulasString += "; Rmin=? [F \"finished\"]";
auto modelFormulas = this->buildModelFormulas(STORM_TEST_RESOURCES_DIR "/mdp/coin2-2.nm", formulasString);
auto model = std::move(modelFormulas.first);
auto tasks = this->getTasks(modelFormulas.second);
EXPECT_EQ(272ul, model->getNumberOfStates());
EXPECT_EQ(492ul, model->getNumberOfTransitions());
ASSERT_EQ(model->getType(), storm::models::ModelType::Mdp);
auto checker = this->createModelChecker(model);
std::unique_ptr<storm::modelchecker::CheckResult> result;
result = checker->check(this->env(), tasks[0]);
EXPECT_NEAR(this->parseNumber("1"), this->getQuantitativeResultAtInitialState(model, result), this->precision());
result = checker->check(this->env(), tasks[1]);
EXPECT_NEAR(this->parseNumber("57/64"), 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_TRUE(storm::utility::isInfinity(this->getQuantitativeResultAtInitialState(model, result)));
result = checker->check(this->env(), tasks[4]);
EXPECT_NEAR(this->parseNumber("75"), this->getQuantitativeResultAtInitialState(model, result), this->precision());
result = checker->check(this->env(), tasks[5]);
EXPECT_NEAR(this->parseNumber("48"), this->getQuantitativeResultAtInitialState(model, result), this->precision());
}
TYPED_TEST(MdpPrctlModelCheckerTest, TinyRewards) {
std::string formulasString = "Rmin=? [F \"target\"]";
auto modelFormulas = this->buildModelFormulas(STORM_TEST_RESOURCES_DIR "/mdp/tiny_rewards.nm", formulasString);
@ -271,8 +422,15 @@ namespace {
ASSERT_EQ(model->getType(), storm::models::ModelType::Mdp);
auto checker = this->createModelChecker(model);
std::unique_ptr<storm::modelchecker::CheckResult> result;
// This example considers a zero-reward end component that does not reach the target
// For some methods this requires end-component elimination which is (currently) not supported in the Dd engine
result = checker->check(this->env(), tasks[0]);
EXPECT_NEAR(this->parseNumber("1"), this->getQuantitativeResultAtInitialState(model, result), this->precision());
if (TypeParam::engine == storm::settings::modules::CoreSettings::Engine::Dd && this->env().solver().minMax().getMethod() == storm::solver::MinMaxMethod::RationalSearch) {
EXPECT_THROW(checker->check(this->env(), tasks[0]), storm::exceptions::UncheckedRequirementException);
} else {
result = checker->check(this->env(), tasks[0]);
EXPECT_NEAR(this->parseNumber("1"), this->getQuantitativeResultAtInitialState(model, result), this->precision());
}
}
}
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