set up SparseSmgRpatlModelChecker for bounded globally

src/storm/modelchecker/rpatl/SparseSmgRpatlModelChecker.cpp

@@ -116,6 +116,8 @@ namespace storm {
                 return this->computeGloballyProbabilities(env, checkTask.substituteFormula(formula.asGloballyFormula()));
             } else if (formula.isNextFormula()) {
                 return this->computeNextProbabilities(env, checkTask.substituteFormula(formula.asNextFormula()));
+            } else if (formula.isBoundedGloballyFormula()) {
+                return this->computeBoundedGloballyProbabilities(env, checkTask.substituteFormula(formula.asBoundedGloballyFormula()));
             }
             STORM_LOG_THROW(false, storm::exceptions::InvalidArgumentException, "The given formula '" << formula << "' is invalid.");
         }
@@ -173,6 +175,20 @@ namespace storm {
             return result;
         }
 
+        template<typename ModelType>
+        std::unique_ptr<CheckResult> SparseSmgRpatlModelChecker<ModelType>::computeBoundedGloballyProbabilities(Environment const& env, CheckTask<storm::logic::BoundedGloballyFormula, ValueType> const& checkTask) {
+            storm::logic::BoundedGloballyFormula const& pathFormula = checkTask.getFormula();
+            STORM_LOG_THROW(checkTask.isOptimizationDirectionSet(), storm::exceptions::InvalidPropertyException, "Formula needs to specify whether minimal or maximal values are to be computed on nondeterministic model.");
+            std::unique_ptr<CheckResult> subResultPointer = this->check(env, pathFormula.getSubformula());
+            ExplicitQualitativeCheckResult const& subResult = subResultPointer->asExplicitQualitativeCheckResult();
+
+            auto ret = storm::modelchecker::helper::SparseSmgRpatlHelper<ValueType>::computeBoundedGloballyProbabilities(env, storm::solver::SolveGoal<ValueType>(this->getModel(), checkTask), this->getModel().getTransitionMatrix(), this->getModel().getBackwardTransitions(), subResult.getTruthValuesVector(), checkTask.isQualitativeSet(), statesOfCoalition, checkTask.isProduceSchedulersSet(), checkTask.getHint());
+            std::unique_ptr<CheckResult> result(new ExplicitQuantitativeCheckResult<ValueType>(std::move(ret.values)));
+            return result;
+        }
+
+
+
         template<typename SparseSmgModelType>
         std::unique_ptr<CheckResult> SparseSmgRpatlModelChecker<SparseSmgModelType>::computeLongRunAverageProbabilities(Environment const& env, CheckTask<storm::logic::StateFormula, ValueType> const& checkTask) {
             STORM_LOG_THROW(false, storm::exceptions::NotImplementedException, "NYI");

src/storm/modelchecker/rpatl/SparseSmgRpatlModelChecker.h

@@ -39,6 +39,7 @@ namespace storm {
             std::unique_ptr<CheckResult> computeUntilProbabilities(Environment const& env, CheckTask<storm::logic::UntilFormula, ValueType> const& checkTask) override;
             std::unique_ptr<CheckResult> computeGloballyProbabilities(Environment const& env, CheckTask<storm::logic::GloballyFormula, ValueType> const& checkTask) override;
             std::unique_ptr<CheckResult> computeNextProbabilities(Environment const& env, CheckTask<storm::logic::NextFormula, ValueType> const& checkTask) override;
+            std::unique_ptr<CheckResult> computeBoundedGloballyProbabilities(Environment const& env, CheckTask<storm::logic::BoundedGloballyFormula, ValueType> const& checkTask) override;
 
             std::unique_ptr<CheckResult> computeLongRunAverageProbabilities(Environment const& env, CheckTask<storm::logic::StateFormula, ValueType> const& checkTask) override;
             std::unique_ptr<CheckResult> computeLongRunAverageRewards(Environment const& env, storm::logic::RewardMeasureType rewardMeasureType, CheckTask<storm::logic::LongRunAverageRewardFormula, ValueType> const& checkTask) override;