minor fix for Long run average rewards for Markov automata

src/storm/modelchecker/csl/SparseMarkovAutomatonCslModelChecker.cpp

@@ -34,7 +34,7 @@ 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).setReachabilityRewardFormulasAllowed(true).setTimeAllowed(true).setLongRunAverageProbabilitiesAllowed(true))) {
+            if(formula.isInFragment(storm::logic::csl().setGloballyFormulasAllowed(false).setNextFormulasAllowed(false).setRewardOperatorsAllowed(true).setReachabilityRewardFormulasAllowed(true).setTimeAllowed(true).setLongRunAverageProbabilitiesAllowed(true).setLongRunAverageRewardFormulasAllowed(true))) {
                 return true;
             } else {
                 // Check whether we consider a multi-objective formula

src/storm/modelchecker/csl/helper/SparseMarkovAutomatonCslHelper.cpp

@@ -247,7 +247,6 @@ namespace storm {
                     stateRewardWeights[markovianState] = storm::utility::one<ValueType>() / exitRateVector[markovianState];
                 }
                 std::vector<ValueType> totalRewardVector = rewardModel.getTotalActionRewardVector(transitionMatrix, stateRewardWeights);
-                RewardModelType scaledRewardModel(boost::none, std::move(totalRewardVector));
 
                 return computeLongRunAverageRewards(dir, transitionMatrix, backwardTransitions, exitRateVector, markovianStates, totalRewardVector, minMaxLinearEquationSolverFactory);
            }