sp
/
tempest
1
0
Fork 0
Code Issues Pull Requests Projects Releases Wiki Activity
Browse Source

minor fixes to let the total reward tests compile and pass

tempestpy_adaptions
TimQu 7 years ago
parent
1f4c0325be
commit
5a16b2befa
4 changed files with 30 additions and 22 deletions
Whitespace
Show all changes Ignore whitespace when comparing lines Ignore changes in amount of whitespace Ignore changes in whitespace at EOL
Split View
Diff Options
Show Stats Download Patch File Download Diff File
  1. 8
      resources/examples/testfiles/ma/simple2.ma
  2. 2
      src/storm/modelchecker/csl/SparseMarkovAutomatonCslModelChecker.cpp
  3. 2
      src/test/storm/modelchecker/CtmcCslModelCheckerTest.cpp
  4. 40
      src/test/storm/modelchecker/MarkovAutomatonCslModelCheckerTest.cpp

8
resources/examples/testfiles/ma/simple2.ma
View File

@ -4,12 +4,13 @@ ma
module main
s : [0..4]; // current state:
s : [0..5]; // 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);
[beta] s=1 -> 0.3 : (s'=5) + 0.7 : (s'=1);
<> s=5 -> 1 : (s'=2);
[gamma] s=2 -> 1 : (s'=1);
[delta] s=2 -> 0.5 : (s'=2) + 0.5 : (s'=3);
<> s=3 -> 1 : (s'=4);
@ -36,5 +37,6 @@ endrewards
rewards "rew3"
s=0 : 7;
[delta] s=2 : 1;
[gamma] s=4 : 100;
[gamma] s=2 : 100;
[lambda] s=4 : 27;
endrewards

2
src/storm/modelchecker/csl/SparseMarkovAutomatonCslModelChecker.cpp
View File

@ -29,7 +29,7 @@ namespace storm {
template<typename SparseMarkovAutomatonModelType>
bool SparseMarkovAutomatonCslModelChecker<SparseMarkovAutomatonModelType>::canHandle(CheckTask<storm::logic::Formula, ValueType> const& checkTask) const {
storm::logic::Formula const& formula = checkTask.getFormula();
if(formula.isInFragment(storm::logic::csl().setGloballyFormulasAllowed(false).setNextFormulasAllowed(false).setRewardOperatorsAllowed(true).setReachabilityRewardFormulasAllowed(true).setTimeAllowed(true).setLongRunAverageProbabilitiesAllowed(true).setLongRunAverageRewardFormulasAllowed(true))) {
if(formula.isInFragment(storm::logic::csl().setGloballyFormulasAllowed(false).setNextFormulasAllowed(false).setRewardOperatorsAllowed(true).setReachabilityRewardFormulasAllowed(true).setTotalRewardFormulasAllowed(true).setTimeAllowed(true).setLongRunAverageProbabilitiesAllowed(true).setLongRunAverageRewardFormulasAllowed(true))) {
return true;
} else {
// Check whether we consider a multi-objective formula

2
src/test/storm/modelchecker/CtmcCslModelCheckerTest.cpp
View File

@ -384,7 +384,7 @@ namespace {
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()));
EXPECT_TRUE(storm::utility::isInfinity(this->getQuantitativeResultAtInitialState(model, result)));
}
}

40
src/test/storm/modelchecker/MarkovAutomatonCslModelCheckerTest.cpp
View File

@ -135,11 +135,12 @@ namespace {
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);
}
// 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);
// }
return nullptr;
}
bool getQualitativeResultAtInitialState(std::shared_ptr<storm::models::Model<ValueType>> const& model, std::unique_ptr<storm::modelchecker::CheckResult>& result) {
@ -161,7 +162,8 @@ namespace {
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());
// return std::make_unique<storm::modelchecker::SymbolicQualitativeCheckResult<TestType::ddType>>(model->template as<SymbolicModelType>()->getReachableStates(), model->template as<SymbolicModelType>()->getInitialStates());
return nullptr;
}
}
};
@ -170,7 +172,7 @@ namespace {
SparseDoubleValueIterationEnvironment,
SparseDoubleIntervalIterationEnvironment,
SparseRationalPolicyIterationEnvironment,
SparseRationalRationalSearchEnvironment,
SparseRationalRationalSearchEnvironment
> TestingTypes;
TYPED_TEST_CASE(MarkovAutomatonCslModelCheckerTest, TestingTypes);
@ -196,8 +198,10 @@ namespace {
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());
if (!storm::utility::isZero(this->precision())) {
result = checker->check(this->env(), tasks[2]);
EXPECT_NEAR(this->parseNumber("0.455504"), this->getQuantitativeResultAtInitialState(model, result), this->precision());
}
}
@ -214,11 +218,13 @@ namespace {
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());
if (!storm::utility::isZero(this->precision())) {
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) {
@ -230,11 +236,11 @@ namespace {
formulasString += "; R{\"rew2\"}min=? [C]";
formulasString += "; R{\"rew3\"}min=? [C]";
auto modelFormulas = this->buildModelFormulas(STORM_TEST_RESOURCES_DIR "/ma/simple2.nm", formulasString);
auto modelFormulas = this->buildModelFormulas(STORM_TEST_RESOURCES_DIR "/ma/simple2.ma", formulasString);
auto model = std::move(modelFormulas.first);
auto tasks = this->getTasks(modelFormulas.second);
EXPECT_EQ(5ul, model->getNumberOfStates());
EXPECT_EQ(8ul, model->getNumberOfTransitions());
EXPECT_EQ(6ul, model->getNumberOfStates());
EXPECT_EQ(11ul, model->getNumberOfTransitions());
ASSERT_EQ(model->getType(), storm::models::ModelType::MarkovAutomaton);
auto checker = this->createModelChecker(model);
std::unique_ptr<storm::modelchecker::CheckResult> result;

Write Preview
Loading…
Cancel
Save