#ifndef STORM_H
#define	STORM_H

#include <iostream>
#include <iomanip>
#include <fstream>
#include <cstdio>
#include <sstream>
#include <memory>
#include "storm/storage/ModelFormulasPair.h"

#include "initialize.h"

#include "storm-config.h"

// Headers that provide auxiliary functionality.
#include "storm/settings/SettingsManager.h"

#include "storm/settings/modules/CoreSettings.h"
#include "storm/settings/modules/IOSettings.h"
#include "storm/settings/modules/BisimulationSettings.h"
#include "storm/settings/modules/ParametricSettings.h"
#include "storm/settings/modules/EliminationSettings.h"
#include "storm/settings/modules/JitBuilderSettings.h"
#include "storm/settings/modules/JaniExportSettings.h"

// Formula headers.
#include "storm/logic/Formulas.h"
#include "storm/logic/FragmentSpecification.h"

// Model headers.
#include "storm/models/ModelBase.h"
#include "storm/models/sparse/Model.h"
#include "storm/models/sparse/StandardRewardModel.h"
#include "storm/models/sparse/MarkovAutomaton.h"
#include "storm/models/symbolic/Model.h"
#include "storm/models/symbolic/StandardRewardModel.h"

#include "storm/storage/dd/Add.h"
#include "storm/storage/dd/Bdd.h"

#include "storm/parser/AutoParser.h"
#include "storm/parser/DirectEncodingParser.h"

#include "storm/storage/jani/Model.h"
#include "storm/storage/jani/Property.h"

// Headers of builders.
#include "storm/builder/ExplicitModelBuilder.h"
#include "storm/builder/jit/ExplicitJitJaniModelBuilder.h"
#include "storm/builder/DdPrismModelBuilder.h"
#include "storm/builder/DdJaniModelBuilder.h"

// Headers for model processing.
#include "storm/storage/bisimulation/DeterministicModelBisimulationDecomposition.h"
#include "storm/storage/bisimulation/NondeterministicModelBisimulationDecomposition.h"
#include "storm/transformer/SymbolicToSparseTransformer.h"
#include "storm/storage/ModelFormulasPair.h"
#include "storm/storage/SymbolicModelDescription.h"
#include "storm/storage/jani/JSONExporter.h"

// Headers for model checking.
#include "storm/modelchecker/prctl/SparseDtmcPrctlModelChecker.h"
#include "storm/modelchecker/prctl/SparseMdpPrctlModelChecker.h"
#include "storm/modelchecker/prctl/HybridDtmcPrctlModelChecker.h"
#include "storm/modelchecker/prctl/HybridMdpPrctlModelChecker.h"
#include "storm/modelchecker/prctl/SymbolicDtmcPrctlModelChecker.h"
#include "storm/modelchecker/prctl/SymbolicMdpPrctlModelChecker.h"
#include "storm/modelchecker/reachability/SparseDtmcEliminationModelChecker.h"
#include "storm/modelchecker/abstraction/GameBasedMdpModelChecker.h"
#include "storm/modelchecker/exploration/SparseExplorationModelChecker.h"
#include "storm/modelchecker/parametric/SparseDtmcRegionChecker.h"
#include "storm/modelchecker/parametric/SparseMdpRegionChecker.h"
#include "storm/utility/parameterlifting.h"

#include "storm/modelchecker/csl/SparseCtmcCslModelChecker.h"
#include "storm/modelchecker/csl/helper/SparseCtmcCslHelper.h"
#include "storm/modelchecker/csl/SparseMarkovAutomatonCslModelChecker.h"
#include "storm/modelchecker/csl/HybridCtmcCslModelChecker.h"
#include "storm/modelchecker/csl/SparseMarkovAutomatonCslModelChecker.h"
#include "storm/modelchecker/results/ExplicitQualitativeCheckResult.h"
#include "storm/modelchecker/results/SymbolicQualitativeCheckResult.h"
#include "storm/modelchecker/results/HybridQuantitativeCheckResult.h"
#include "storm/modelchecker/results/SymbolicQualitativeCheckResult.h"

#include "storm/transformer/ContinuousToDiscreteTimeModelTransformer.h"

// Headers for counterexample generation.
#include "storm/counterexamples/MILPMinimalCommandSetGenerator.h"
#include "storm/counterexamples/SMTMinimalCommandSetGenerator.h"

// Headers related to model building.
#include "storm/generator/PrismNextStateGenerator.h"
#include "storm/generator/JaniNextStateGenerator.h"

#include "storm/analysis/GraphConditions.h"


// Headers related to exception handling.
#include "storm/exceptions/InvalidStateException.h"
#include "storm/exceptions/InvalidArgumentException.h"
#include "storm/exceptions/InvalidSettingsException.h"
#include "storm/exceptions/InvalidTypeException.h"
#include "storm/exceptions/NotImplementedException.h"
#include "storm/exceptions/NotSupportedException.h"

#include "storm/utility/Stopwatch.h"
#include "storm/utility/file.h"

namespace storm {
    
    namespace parser {
        class FormulaParser;
    }
    
    
    template<typename ValueType>
    inline std::shared_ptr<storm::models::sparse::Model<ValueType>> buildExplicitModel(std::string const&, std::string const&, boost::optional<std::string> const& = boost::none, boost::optional<std::string> const& = boost::none, boost::optional<std::string> const& = boost::none) {
       STORM_LOG_THROW(false, storm::exceptions::NotSupportedException, "Exact or parametric models with explicit input are not supported.");
    }

    template<>
    inline std::shared_ptr<storm::models::sparse::Model<double>> buildExplicitModel(std::string const& transitionsFile, std::string const& labelingFile, boost::optional<std::string> const& stateRewardsFile, boost::optional<std::string> const& transitionRewardsFile, boost::optional<std::string> const& choiceLabelingFile) {
        return storm::parser::AutoParser<double, double>::parseModel(transitionsFile, labelingFile, stateRewardsFile ? stateRewardsFile.get() : "", transitionRewardsFile ? transitionRewardsFile.get() : "", choiceLabelingFile ? choiceLabelingFile.get() : "" );
    }
    
    template<typename ValueType>
    inline std::shared_ptr<storm::models::sparse::Model<ValueType>> buildExplicitDRNModel(std::string const& drnFile) {
        return storm::parser::DirectEncodingParser<ValueType>::parseModel(drnFile);
    }

    template<>
    inline std::shared_ptr<storm::models::sparse::Model<storm::RationalNumber>> buildExplicitDRNModel(std::string const&) {
       STORM_LOG_THROW(false, storm::exceptions::NotSupportedException, "Exact models with direct encoding are not supported.");
    }

    std::vector<std::shared_ptr<storm::logic::Formula const>> extractFormulasFromProperties(std::vector<storm::jani::Property> const& properties);
    std::pair<storm::jani::Model, std::map<std::string, storm::jani::Property>> parseJaniModel(std::string const& path);
    storm::prism::Program parseProgram(std::string const& path);
    std::vector<storm::jani::Property> substituteConstantsInProperties(std::vector<storm::jani::Property> const& properties, std::map<storm::expressions::Variable, storm::expressions::Expression> const& substitution);
    std::vector<storm::jani::Property> parseProperties(storm::parser::FormulaParser& formulaParser, std::string const& inputString, boost::optional<std::set<std::string>> const& propertyFilter = boost::none);
    std::vector<storm::jani::Property> parsePropertiesForExplicit(std::string const& inputString, boost::optional<std::set<std::string>> const& propertyFilter = boost::none);
    std::vector<storm::jani::Property> parsePropertiesForPrismProgram(std::string const& inputString, storm::prism::Program const& program, boost::optional<std::set<std::string>> const& propertyFilter = boost::none);
    std::vector<storm::jani::Property> parsePropertiesForJaniModel(std::string const& inputString, storm::jani::Model const& model, boost::optional<std::set<std::string>> const& propertyFilter = boost::none);
    boost::optional<std::set<std::string>> parsePropertyFilter(boost::optional<std::string> const& propertyFilter);
    std::vector<storm::jani::Property> filterProperties(std::vector<storm::jani::Property> const& properties, boost::optional<std::set<std::string>> const& propertyFilter);
    
    template<typename ValueType>
    std::shared_ptr<storm::models::sparse::Model<ValueType>> buildSparseModel(storm::storage::SymbolicModelDescription const& model, std::vector<std::shared_ptr<storm::logic::Formula const>> const& formulas) {
        storm::builder::BuilderOptions options(formulas);
        
        if (storm::settings::getModule<storm::settings::modules::IOSettings>().isBuildChoiceLabelsSet()) {
            options.setBuildChoiceLabels(true);
        }
        
        if (storm::settings::getModule<storm::settings::modules::IOSettings>().isBuildFullModelSet()) {
            options.setBuildAllLabels();
            options.setBuildAllRewardModels();
            options.setBuildChoiceLabels(true);
            options.clearTerminalStates();
        }
        
        // Generate command labels if we are going to build a counterexample later.
        if (storm::settings::getModule<storm::settings::modules::CounterexampleGeneratorSettings>().isMinimalCommandSetGenerationSet()) {
            options.setBuildChoiceOrigins(true);
        }
        
        if (storm::settings::getModule<storm::settings::modules::IOSettings>().isJitSet()) {
            STORM_LOG_THROW(model.isJaniModel(), storm::exceptions::NotSupportedException, "Cannot use JIT-based model builder for non-JANI model.");
            
            storm::builder::jit::ExplicitJitJaniModelBuilder<ValueType> builder(model.asJaniModel(), options);
            
            if (storm::settings::getModule<storm::settings::modules::JitBuilderSettings>().isDoctorSet()) {
                bool result = builder.doctor();
                STORM_LOG_THROW(result, storm::exceptions::InvalidSettingsException, "The JIT-based model builder cannot be used on your system.");
                STORM_LOG_INFO("The JIT-based model builder seems to be working.");
            }
            
            return builder.build();
        } else {
            std::shared_ptr<storm::generator::NextStateGenerator<ValueType, uint32_t>> generator;
            if (model.isPrismProgram()) {
                generator = std::make_shared<storm::generator::PrismNextStateGenerator<ValueType, uint32_t>>(model.asPrismProgram(), options);
            } else if (model.isJaniModel()) {
                generator = std::make_shared<storm::generator::JaniNextStateGenerator<ValueType, uint32_t>>(model.asJaniModel(), options);
            } else {
                STORM_LOG_THROW(false, storm::exceptions::NotSupportedException, "Cannot build sparse model from this symbolic model description.");
            }
            storm::builder::ExplicitModelBuilder<ValueType> builder(generator);
            return builder.build();
        }
    }
    
    template<typename ValueType, storm::dd::DdType LibraryType = storm::dd::DdType::CUDD>
    std::shared_ptr<storm::models::symbolic::Model<LibraryType, ValueType>> buildSymbolicModel(storm::storage::SymbolicModelDescription const& model, std::vector<std::shared_ptr<storm::logic::Formula const>> const& formulas) {
        if (model.isPrismProgram()) {
            typename storm::builder::DdPrismModelBuilder<LibraryType, ValueType>::Options options;
            options = typename storm::builder::DdPrismModelBuilder<LibraryType, ValueType>::Options(formulas);
            
            storm::builder::DdPrismModelBuilder<LibraryType, ValueType> builder;
            return builder.build(model.asPrismProgram(), options);
        } else {
            STORM_LOG_THROW(model.isJaniModel(), storm::exceptions::InvalidArgumentException, "Cannot build symbolic model for the given symbolic model description.");
            typename storm::builder::DdJaniModelBuilder<LibraryType, ValueType>::Options options;
            options = typename storm::builder::DdJaniModelBuilder<LibraryType, ValueType>::Options(formulas);
            
            storm::builder::DdJaniModelBuilder<LibraryType, ValueType> builder;
            return builder.build(model.asJaniModel(), options);
        }
    }
    
    template<typename ModelType>
    std::shared_ptr<ModelType> performDeterministicSparseBisimulationMinimization(std::shared_ptr<ModelType> model, std::vector<std::shared_ptr<storm::logic::Formula const>> const& formulas, storm::storage::BisimulationType type) {
        STORM_LOG_INFO("Performing bisimulation minimization... ");
        typename storm::storage::DeterministicModelBisimulationDecomposition<ModelType>::Options options;
        if (!formulas.empty()) {
            options = typename storm::storage::DeterministicModelBisimulationDecomposition<ModelType>::Options(*model, formulas);
        }
        options.setType(type);
        
        storm::storage::DeterministicModelBisimulationDecomposition<ModelType> bisimulationDecomposition(*model, options);
        bisimulationDecomposition.computeBisimulationDecomposition();
        model = bisimulationDecomposition.getQuotient();
        STORM_LOG_INFO("Bisimulation done, quotient model has " << model->getNumberOfStates() << " states and " << model->getNumberOfTransitions() << " transitions.");
        return model;
    }
    
    template<typename ModelType>
    std::shared_ptr<ModelType> performNondeterministicSparseBisimulationMinimization(std::shared_ptr<ModelType> model, std::vector<std::shared_ptr<storm::logic::Formula const>> const& formulas, storm::storage::BisimulationType type) {
        STORM_LOG_INFO("Performing bisimulation minimization... ");
        typename storm::storage::DeterministicModelBisimulationDecomposition<ModelType>::Options options;
        if (!formulas.empty()) {
            options = typename storm::storage::NondeterministicModelBisimulationDecomposition<ModelType>::Options(*model, formulas);
        }
        options.setType(type);
        
        storm::storage::NondeterministicModelBisimulationDecomposition<ModelType> bisimulationDecomposition(*model, options);
        bisimulationDecomposition.computeBisimulationDecomposition();
        model = bisimulationDecomposition.getQuotient();
        STORM_LOG_INFO("Bisimulation done, quotient model has " << model->getNumberOfStates() << " states and " << model->getNumberOfTransitions() << " transitions.");
        return model;
    }
    
    template<typename ModelType>
    std::shared_ptr<storm::models::sparse::Model<typename ModelType::ValueType>> performBisimulationMinimization(std::shared_ptr<storm::models::sparse::Model<typename ModelType::ValueType>> const& model, std::vector<std::shared_ptr<storm::logic::Formula const>> const& formulas, storm::storage::BisimulationType type) {
        using ValueType = typename ModelType::ValueType;
        
        STORM_LOG_THROW(model->isOfType(storm::models::ModelType::Dtmc) || model->isOfType(storm::models::ModelType::Ctmc) || model->isOfType(storm::models::ModelType::Mdp), storm::exceptions::InvalidSettingsException, "Bisimulation minimization is currently only available for DTMCs, CTMCs and MDPs.");
        model->reduceToStateBasedRewards();
        
        if (model->isOfType(storm::models::ModelType::Dtmc)) {
            return performDeterministicSparseBisimulationMinimization<storm::models::sparse::Dtmc<ValueType>>(model->template as<storm::models::sparse::Dtmc<ValueType>>(), formulas, type);
        } else if (model->isOfType(storm::models::ModelType::Ctmc)) {
            return performDeterministicSparseBisimulationMinimization<storm::models::sparse::Ctmc<ValueType>>(model->template as<storm::models::sparse::Ctmc<ValueType>>(), formulas, type);
        } else {
            return performNondeterministicSparseBisimulationMinimization<storm::models::sparse::Mdp<ValueType>>(model->template as<storm::models::sparse::Mdp<ValueType>>(), formulas, type);
        }
    }
    
    template<typename ModelType>
    std::shared_ptr<storm::models::sparse::Model<typename ModelType::ValueType>> performBisimulationMinimization(std::shared_ptr<storm::models::sparse::Model<typename ModelType::ValueType>> const& model, std::shared_ptr<storm::logic::Formula const> const& formula, storm::storage::BisimulationType type) {
        std::vector<std::shared_ptr<storm::logic::Formula const>> formulas = { formula };
        return performBisimulationMinimization<ModelType>(model, formulas , type);
    }
    
    
    template<typename ModelType>
    std::shared_ptr<storm::models::ModelBase> preprocessModel(std::shared_ptr<storm::models::ModelBase> model, std::vector<std::shared_ptr<storm::logic::Formula const>> const& formulas) {
        storm::utility::Stopwatch preprocessingWatch(true);
        
        bool operationPerformed = false;
        if (model->getType() == storm::models::ModelType::MarkovAutomaton && model->isSparseModel()) {
            operationPerformed = true;
            std::shared_ptr<storm::models::sparse::MarkovAutomaton<typename ModelType::ValueType>> ma = model->template as<storm::models::sparse::MarkovAutomaton<typename ModelType::ValueType>>();
            ma->close();
            if (ma->hasOnlyTrivialNondeterminism()) {
                // Markov automaton can be converted into CTMC.
                STORM_PRINT_AND_LOG(std::endl << "Converting deterministic MA to a CTMC..." << std::endl);
                model = ma->convertToCTMC();
            }
        }
        
        if (model->isSparseModel() && storm::settings::getModule<storm::settings::modules::GeneralSettings>().isBisimulationSet()) {
            operationPerformed = true;
            storm::storage::BisimulationType bisimType = storm::storage::BisimulationType::Strong;
            if (storm::settings::getModule<storm::settings::modules::BisimulationSettings>().isWeakBisimulationSet()) {
                bisimType = storm::storage::BisimulationType::Weak;
            }
            
            STORM_LOG_THROW(model->isSparseModel(), storm::exceptions::InvalidSettingsException, "Bisimulation minimization is currently only available for sparse models.");
            model = performBisimulationMinimization<ModelType>(model->template as<storm::models::sparse::Model<typename ModelType::ValueType>>(), formulas, bisimType);
            
            STORM_LOG_INFO("Quotient model has " << model->getNumberOfStates() << " states and " << model->getNumberOfTransitions() << " transitions.");
        }
        
        preprocessingWatch.stop();
        if (operationPerformed) {
            STORM_PRINT_AND_LOG(std::endl << "Time for model preprocessing: " << preprocessingWatch << "." << std::endl << std::endl);
        }
        
        return model;
    }
    
    template<typename ValueType>
    void generateCounterexample(storm::storage::SymbolicModelDescription const& model, std::shared_ptr<storm::models::sparse::Model<ValueType>> markovModel, std::shared_ptr<storm::logic::Formula const> const& formula) {
        if (storm::settings::getModule<storm::settings::modules::CounterexampleGeneratorSettings>().isMinimalCommandSetGenerationSet()) {
            STORM_LOG_THROW(model.isPrismProgram(), storm::exceptions::InvalidTypeException, "Minimal command set generation is only available for PRISM models.");
            STORM_LOG_THROW(markovModel->getType() == storm::models::ModelType::Mdp, storm::exceptions::InvalidTypeException, "Minimal command set generation is only available for MDPs.");
            storm::prism::Program const& program = model.asPrismProgram();
            
            std::shared_ptr<storm::models::sparse::Mdp<ValueType>> mdp = markovModel->template as<storm::models::sparse::Mdp<ValueType>>();
            
            // Determine whether we are required to use the MILP-version or the SAT-version.
            bool useMILP = storm::settings::getModule<storm::settings::modules::CounterexampleGeneratorSettings>().isUseMilpBasedMinimalCommandSetGenerationSet();
            
            if (useMILP) {
                storm::counterexamples::MILPMinimalCommandSetGenerator<ValueType>::computeCounterexample(program, *mdp, formula);
            } else {
                storm::counterexamples::SMTMinimalCommandSetGenerator<ValueType>::computeCounterexample(program, storm::settings::getModule<storm::settings::modules::IOSettings>().getConstantDefinitionString(), *mdp, formula);
            }
            
        } else {
            STORM_LOG_THROW(false, storm::exceptions::InvalidSettingsException, "No suitable counterexample representation selected.");
        }
    }
    
#ifdef STORM_HAVE_CARL
    template<>
    inline void generateCounterexample(storm::storage::SymbolicModelDescription const&, std::shared_ptr<storm::models::sparse::Model<storm::RationalNumber>>, std::shared_ptr<storm::logic::Formula const> const& ) {
        STORM_LOG_THROW(false, storm::exceptions::InvalidSettingsException, "Unable to generate counterexample for exact arithmetic model.");
    }
    
    template<>
    inline void generateCounterexample(storm::storage::SymbolicModelDescription const&, std::shared_ptr<storm::models::sparse::Model<storm::RationalFunction>>, std::shared_ptr<storm::logic::Formula const> const& ) {
        STORM_LOG_THROW(false, storm::exceptions::InvalidSettingsException, "Unable to generate counterexample for parametric model.");
    }
#endif
    
    template<typename ValueType>
    void generateCounterexamples(storm::storage::SymbolicModelDescription const& model, std::shared_ptr<storm::models::sparse::Model<ValueType>> markovModel, std::vector<std::shared_ptr<storm::logic::Formula const>> const& formulas) {
        for (auto const& formula : formulas) {
            generateCounterexample(model, markovModel, formula);
        }
    }
    
    template<typename ParametricType>
    inline void performParameterLifting(std::shared_ptr<storm::models::sparse::Model<ParametricType>>, std::shared_ptr<storm::logic::Formula const> const&) {
        STORM_LOG_THROW(false, storm::exceptions::InvalidSettingsException, "Unable to perform parameterLifting for non-parametric model.");
    }

#ifdef STORM_HAVE_CARL
    template<>
    inline void performParameterLifting(std::shared_ptr<storm::models::sparse::Model<storm::RationalFunction>> markovModel, std::shared_ptr<storm::logic::Formula const> const& formula) {
        storm::utility::Stopwatch parameterLiftingStopWatch(true);
        std::shared_ptr<storm::logic::Formula const> consideredFormula = formula;
        
        STORM_LOG_WARN_COND(storm::utility::parameterlifting::validateParameterLiftingSound(markovModel, formula), "Could not validate whether parameter lifting is sound on the input model and the formula " << *formula);
        
        if (markovModel->isOfType(storm::models::ModelType::Ctmc) || markovModel->isOfType(storm::models::ModelType::MarkovAutomaton)) {
            STORM_PRINT_AND_LOG("Transforming continuous model to discrete model...");
            storm::transformer::transformContinuousToDiscreteModelInPlace(markovModel, consideredFormula);
            STORM_PRINT_AND_LOG(" done!" << std::endl);
            markovModel->printModelInformationToStream(std::cout);
        }
        
        auto modelParameters = storm::models::sparse::getProbabilityParameters(*markovModel);
        auto rewParameters = storm::models::sparse::getRewardParameters(*markovModel);
        modelParameters.insert(rewParameters.begin(), rewParameters.end());
        
        STORM_LOG_THROW(storm::settings::getModule<storm::settings::modules::ParametricSettings>().isParameterSpaceSet(), storm::exceptions::InvalidSettingsException, "Invoked Parameter lifting but no parameter space was defined.");
        auto parameterSpaceAsString = storm::settings::getModule<storm::settings::modules::ParametricSettings>().getParameterSpace();
        auto parameterSpace = storm::storage::ParameterRegion<storm::RationalFunction>::parseRegion(parameterSpaceAsString, modelParameters);
        auto refinementThreshold = storm::utility::convertNumber<typename storm::storage::ParameterRegion<storm::RationalFunction>::CoefficientType>(storm::settings::getModule<storm::settings::modules::ParametricSettings>().getRefinementThreshold());
        std::vector<std::pair<storm::storage::ParameterRegion<storm::RationalFunction>, storm::modelchecker::parametric::RegionCheckResult>> result;
                
        STORM_PRINT_AND_LOG("Performing parameter lifting for property " << *consideredFormula << " with parameter space " << parameterSpace.toString(true) << " and refinement threshold " << storm::utility::convertNumber<double>(refinementThreshold) << " ..." << std::endl);
        
        storm::modelchecker::CheckTask<storm::logic::Formula, storm::RationalFunction> task(*consideredFormula, true);
        std::string resultVisualization;
        
        if (markovModel->isOfType(storm::models::ModelType::Dtmc)) {
            if (storm::settings::getModule<storm::settings::modules::GeneralSettings>().isExactSet()) {
                storm::modelchecker::parametric::SparseDtmcRegionChecker <storm::models::sparse::Dtmc<storm::RationalFunction>, storm::RationalNumber> regionChecker(*markovModel->template as<storm::models::sparse::Dtmc<storm::RationalFunction>>());
                regionChecker.specifyFormula(task);
                result = regionChecker.performRegionRefinement(parameterSpace, refinementThreshold);
                parameterLiftingStopWatch.stop();
                if (modelParameters.size() == 2) {
                    resultVisualization = regionChecker.visualizeResult(result, parameterSpace, *modelParameters.begin(), *(modelParameters.rbegin()));
                }
            } else {
                storm::modelchecker::parametric::SparseDtmcRegionChecker <storm::models::sparse::Dtmc<storm::RationalFunction>, double, storm::RationalNumber> regionChecker(*markovModel->template as<storm::models::sparse::Dtmc<storm::RationalFunction>>());
                regionChecker.specifyFormula(task);
                result = regionChecker.performRegionRefinement(parameterSpace, refinementThreshold);
                parameterLiftingStopWatch.stop();
                if (modelParameters.size() == 2) {
                    resultVisualization = regionChecker.visualizeResult(result, parameterSpace, *modelParameters.begin(), *(modelParameters.rbegin()));
                }
            }
        } else if (markovModel->isOfType(storm::models::ModelType::Mdp)) {
            if (storm::settings::getModule<storm::settings::modules::GeneralSettings>().isExactSet()) {
                storm::modelchecker::parametric::SparseMdpRegionChecker<storm::models::sparse::Mdp<storm::RationalFunction>, storm::RationalNumber> regionChecker(*markovModel->template as<storm::models::sparse::Mdp<storm::RationalFunction>>());
                regionChecker.specifyFormula(task);
                result = regionChecker.performRegionRefinement(parameterSpace, refinementThreshold);
                parameterLiftingStopWatch.stop();
                if (modelParameters.size() == 2) {
                    resultVisualization = regionChecker.visualizeResult(result, parameterSpace, *modelParameters.begin(), *(modelParameters.rbegin()));
                }
            } else {
                storm::modelchecker::parametric::SparseMdpRegionChecker<storm::models::sparse::Mdp<storm::RationalFunction>, double, storm::RationalNumber> regionChecker(*markovModel->template as<storm::models::sparse::Mdp<storm::RationalFunction>>());
                regionChecker.specifyFormula(task);
                result = regionChecker.performRegionRefinement(parameterSpace, refinementThreshold);
                parameterLiftingStopWatch.stop();
                if (modelParameters.size() == 2) {
                    resultVisualization = regionChecker.visualizeResult(result, parameterSpace, *modelParameters.begin(), *(modelParameters.rbegin()));
                }
            }
        } else {
            STORM_LOG_THROW(false, storm::exceptions::InvalidSettingsException, "Unable to perform parameterLifting on the provided model type.");
        }
        
        
        auto satArea = storm::utility::zero<typename storm::storage::ParameterRegion<storm::RationalFunction>::CoefficientType>();
        auto unsatArea = storm::utility::zero<typename storm::storage::ParameterRegion<storm::RationalFunction>::CoefficientType>();
        uint_fast64_t numOfSatRegions = 0;
        uint_fast64_t numOfUnsatRegions = 0;
        for (auto const& res : result) {
            switch (res.second) {
                case storm::modelchecker::parametric::RegionCheckResult::AllSat:
                    satArea += res.first.area();
                    ++numOfSatRegions;
                    break;
                case storm::modelchecker::parametric::RegionCheckResult::AllViolated:
                    unsatArea += res.first.area();
                    ++numOfUnsatRegions;
                    break;
                default:
                    STORM_LOG_ERROR("Unexpected result for region " << res.first.toString(true) << " : " << res.second << ".");
                    break;
            }
        }
        typename storm::storage::ParameterRegion<storm::RationalFunction>::CoefficientType satAreaFraction = satArea / parameterSpace.area();
        typename storm::storage::ParameterRegion<storm::RationalFunction>::CoefficientType unsatAreaFraction = unsatArea / parameterSpace.area();
        STORM_PRINT_AND_LOG("Done! Found " << numOfSatRegions << " safe regions and "
                                     << numOfUnsatRegions << " unsafe regions." << std::endl);
        STORM_PRINT_AND_LOG(storm::utility::convertNumber<double>(satAreaFraction) * 100 << "% of the parameter space is safe, and "
                         << storm::utility::convertNumber<double>(unsatAreaFraction) * 100 << "% of the parameter space is unsafe." << std::endl);
        STORM_PRINT_AND_LOG("Model checking with parameter lifting took " << parameterLiftingStopWatch << " seconds." << std::endl);
        STORM_PRINT_AND_LOG(resultVisualization);
        
        if (storm::settings::getModule<storm::settings::modules::ParametricSettings>().exportResultToFile()) {
            std::string path = storm::settings::getModule<storm::settings::modules::ParametricSettings>().exportResultPath();
            STORM_PRINT_AND_LOG("Exporting result to path " << path << "." << std::endl);
            std::ofstream filestream;
            storm::utility::openFile(path, filestream);
                
            for (auto const& res : result) {
                switch (res.second) {
                    case storm::modelchecker::parametric::RegionCheckResult::AllSat:
                        filestream << "safe: " << res.first.toString(true) << std::endl;
                        break;
                    case storm::modelchecker::parametric::RegionCheckResult::AllViolated:
                        filestream << "unsafe: " << res.first.toString(true) << std::endl;
                        break;
                    default:
                        break;
                }
            }
        }
    }
#endif
    
    template<typename ValueType>
    inline void performParameterLifting(std::shared_ptr<storm::models::sparse::Model<ValueType>> markovModel, std::vector<std::shared_ptr<storm::logic::Formula const>> const& formulas) {
        for (auto const& formula : formulas) {
            performParameterLifting(markovModel, formula);
        }
    }

    template<typename ValueType, storm::dd::DdType DdType>
    std::unique_ptr<storm::modelchecker::CheckResult> verifyModel(std::shared_ptr<storm::models::ModelBase> model, std::shared_ptr<storm::logic::Formula const> const& formula, bool onlyInitialStatesRelevant) {
        switch(storm::settings::getModule<storm::settings::modules::CoreSettings>().getEngine()) {
            case storm::settings::modules::CoreSettings::Engine::Sparse: {
                std::shared_ptr<storm::models::sparse::Model<ValueType>> sparseModel = model->template as<storm::models::sparse::Model<ValueType>>();
                STORM_LOG_THROW(sparseModel != nullptr, storm::exceptions::InvalidArgumentException, "Sparse engine requires a sparse input model.");
                return (sparseModel, formula, onlyInitialStatesRelevant);
            }
            case storm::settings::modules::CoreSettings::Engine::Hybrid: {
                std::shared_ptr<storm::models::symbolic::Model<DdType>> ddModel = model->template as<storm::models::symbolic::Model<DdType>>();
                STORM_LOG_THROW(ddModel != nullptr, storm::exceptions::InvalidArgumentException, "Hybrid engine requires a DD-based input model.");
                return verifySymbolicModelWithHybridEngine(ddModel, formula, onlyInitialStatesRelevant);
            }
            case storm::settings::modules::CoreSettings::Engine::Dd: {
                std::shared_ptr<storm::models::symbolic::Model<DdType>> ddModel = model->template as<storm::models::symbolic::Model<DdType>>();
                STORM_LOG_THROW(ddModel != nullptr, storm::exceptions::InvalidArgumentException, "Dd engine requires a DD-based input model.");
                return verifySymbolicModelWithDdEngine(ddModel, formula, onlyInitialStatesRelevant);
            }
            default: {
                STORM_LOG_ASSERT(false, "This position should not be reached, as at this point no model has been built.");
            }
        }
    }
    
    template<typename ValueType>
    std::unique_ptr<storm::modelchecker::CheckResult> verifySparseDtmc(std::shared_ptr<storm::models::sparse::Dtmc<ValueType>> dtmc, storm::modelchecker::CheckTask<storm::logic::Formula, ValueType> const& task) {
        std::unique_ptr<storm::modelchecker::CheckResult> result;
        if (storm::settings::getModule<storm::settings::modules::CoreSettings>().getEquationSolver() == storm::solver::EquationSolverType::Elimination && storm::settings::getModule<storm::settings::modules::EliminationSettings>().isUseDedicatedModelCheckerSet()) {
            storm::modelchecker::SparseDtmcEliminationModelChecker<storm::models::sparse::Dtmc<ValueType>> modelchecker(*dtmc);
            if (modelchecker.canHandle(task)) {
                result = modelchecker.check(task);
            } else {
                STORM_LOG_THROW(false, storm::exceptions::NotSupportedException, "The property " << task.getFormula() << " is not supported by the dedicated elimination model checker.");
            }
        } else {
            storm::modelchecker::SparseDtmcPrctlModelChecker<storm::models::sparse::Dtmc<ValueType>> modelchecker(*dtmc);
            if (modelchecker.canHandle(task)) {
                result = modelchecker.check(task);
            } else {
                STORM_LOG_THROW(false, storm::exceptions::NotSupportedException, "The property " << task.getFormula() << " is not supported.");
            }
        }
        return result;
    }
    
    template<typename ValueType>
    std::unique_ptr<storm::modelchecker::CheckResult> verifySparseCtmc(std::shared_ptr<storm::models::sparse::Ctmc<ValueType>> ctmc, storm::modelchecker::CheckTask<storm::logic::Formula, ValueType> const& task) {
        std::unique_ptr<storm::modelchecker::CheckResult> result;
        storm::modelchecker::SparseCtmcCslModelChecker<storm::models::sparse::Ctmc<ValueType>> modelchecker(*ctmc);
        if (modelchecker.canHandle(task)) {
            result = modelchecker.check(task);
        } else {
            STORM_LOG_THROW(false, storm::exceptions::NotSupportedException, "The property " << task.getFormula() << " is not supported.");
        }
        return result;
    }
    
    template<typename ValueType>
    std::unique_ptr<storm::modelchecker::CheckResult> verifySparseMdp(std::shared_ptr<storm::models::sparse::Mdp<ValueType>> mdp, storm::modelchecker::CheckTask<storm::logic::Formula, ValueType> const& task) {
        std::unique_ptr<storm::modelchecker::CheckResult> result;
        storm::modelchecker::SparseMdpPrctlModelChecker<storm::models::sparse::Mdp<ValueType>> modelchecker(*mdp);
        if (modelchecker.canHandle(task)) {
            result = modelchecker.check(task);
        } else {
            STORM_LOG_THROW(false, storm::exceptions::NotSupportedException, "The property " << task.getFormula() << " is not supported.");
        }
        return result;
    }
    
    template<typename ValueType>
    std::unique_ptr<storm::modelchecker::CheckResult> verifySparseMarkovAutomaton(std::shared_ptr<storm::models::sparse::MarkovAutomaton<ValueType>> ma, storm::modelchecker::CheckTask<storm::logic::Formula, ValueType> const& task) {
        std::unique_ptr<storm::modelchecker::CheckResult> result;
        // Close the MA, if it is not already closed.
        if (!ma->isClosed()) {
            ma->close();
        }
        storm::modelchecker::SparseMarkovAutomatonCslModelChecker<storm::models::sparse::MarkovAutomaton<ValueType>> modelchecker(*ma);
        if (modelchecker.canHandle(task)) {
            result = modelchecker.check(task);
        } else {
            STORM_LOG_THROW(false, storm::exceptions::NotSupportedException, "The property " << task.getFormula() << " is not supported.");
        }
        return result;
    }
    
    template<typename ValueType>
    std::unique_ptr<storm::modelchecker::CheckResult> verifySparseModel(std::shared_ptr<storm::models::sparse::Model<ValueType>> model, std::shared_ptr<storm::logic::Formula const> const& formula, bool onlyInitialStatesRelevant = false) {
        storm::modelchecker::CheckTask<storm::logic::Formula, ValueType> task(*formula, onlyInitialStatesRelevant);
        
        std::unique_ptr<storm::modelchecker::CheckResult> result;
        if (model->getType() == storm::models::ModelType::Dtmc) {
            result = verifySparseDtmc(model->template as<storm::models::sparse::Dtmc<ValueType>>(), task);
        } else if (model->getType() == storm::models::ModelType::Mdp) {
            result = verifySparseMdp(model->template as<storm::models::sparse::Mdp<ValueType>>(), task);
        } else if (model->getType() == storm::models::ModelType::Ctmc) {
            result = verifySparseCtmc(model->template as<storm::models::sparse::Ctmc<ValueType>>(), task);
        } else if (model->getType() == storm::models::ModelType::MarkovAutomaton) {
            result = verifySparseMarkovAutomaton(model->template as<storm::models::sparse::MarkovAutomaton<ValueType>>(), task);
        } else {
            STORM_LOG_THROW(false, storm::exceptions::NotSupportedException, "The model type " << model->getType() << " is not supported.");
        }
        return result;
    }
    
#ifdef STORM_HAVE_CARL
    template<>
    inline std::unique_ptr<storm::modelchecker::CheckResult> verifySparseModel(std::shared_ptr<storm::models::sparse::Model<storm::RationalNumber>> model, std::shared_ptr<storm::logic::Formula const> const& formula, bool onlyInitialStatesRelevant) {
        storm::modelchecker::CheckTask<storm::logic::Formula, RationalNumber> task(*formula, onlyInitialStatesRelevant);
        
        std::unique_ptr<storm::modelchecker::CheckResult> result;
        if (model->getType() == storm::models::ModelType::Dtmc) {
            result = verifySparseDtmc(model->template as<storm::models::sparse::Dtmc<storm::RationalNumber>>(), task);
        } else if (model->getType() == storm::models::ModelType::Ctmc) {
            result = verifySparseCtmc(model->template as<storm::models::sparse::Ctmc<storm::RationalNumber>>(), task);
        } else if (model->getType() == storm::models::ModelType::Mdp) {
            result = verifySparseMdp(model->template as<storm::models::sparse::Mdp<storm::RationalNumber>>(), task);
        } else if (model->getType() == storm::models::ModelType::MarkovAutomaton) {
            result = verifySparseMarkovAutomaton(model->template as<storm::models::sparse::MarkovAutomaton<storm::RationalNumber>>(), task);
        } else {
            STORM_LOG_ASSERT(false, "Illegal model type.");
        }
        return result;
    }
    
    inline void exportParametricResultToFile(storm::RationalFunction const& result, storm::analysis::ConstraintCollector<storm::RationalFunction> const& constraintCollector, std::string const& path) {
        std::ofstream filestream;
        storm::utility::openFile(path, filestream);
        filestream << "!Parameters: ";
        std::set<storm::RationalFunctionVariable> vars = result.gatherVariables();
        std::copy(vars.begin(), vars.end(), std::ostream_iterator<storm::RationalFunctionVariable>(filestream, "; "));
        filestream << std::endl;
        filestream << "!Result: " << result << std::endl;
        filestream << "!Well-formed Constraints: " << std::endl;
        std::vector<std::string> stringConstraints;
        std::transform(constraintCollector.getWellformedConstraints().begin(), constraintCollector.getWellformedConstraints().end(), std::back_inserter(stringConstraints), [](carl::Formula<typename storm::Polynomial::PolyType> const& c) ->  std::string { return c.toString();});
        std::copy(stringConstraints.begin(), stringConstraints.end(), std::ostream_iterator<std::string>(filestream, "\n"));
        filestream << "!Graph-preserving Constraints: " << std::endl;
        stringConstraints.clear();
        std::transform(constraintCollector.getGraphPreservingConstraints().begin(), constraintCollector.getGraphPreservingConstraints().end(), std::back_inserter(stringConstraints), [](carl::Formula<typename storm::Polynomial::PolyType> const& c) ->  std::string { return c.toString();});
        std::copy(stringConstraints.begin(), stringConstraints.end(), std::ostream_iterator<std::string>(filestream, "\n"));
        storm::utility::closeFile(filestream);
    }
    
    template<>
    inline std::unique_ptr<storm::modelchecker::CheckResult> verifySparseModel(std::shared_ptr<storm::models::sparse::Model<storm::RationalFunction>> model, std::shared_ptr<storm::logic::Formula const> const& formula, bool onlyInitialStatesRelevant) {
        storm::modelchecker::CheckTask<storm::logic::Formula, storm::RationalFunction> task(*formula, onlyInitialStatesRelevant);
        
        std::unique_ptr<storm::modelchecker::CheckResult> result;
        if (model->getType() == storm::models::ModelType::Dtmc) {
            result = verifySparseDtmc(model->template as<storm::models::sparse::Dtmc<storm::RationalFunction>>(), task);
        } else if (model->getType() == storm::models::ModelType::Mdp) {
            //std::shared_ptr<storm::models::sparse::Mdp<storm::RationalFunction>> mdp = model->template as<storm::models::sparse::Mdp<storm::RationalFunction>>();
            STORM_LOG_THROW(false, storm::exceptions::NotSupportedException, "The parametric engine currently does not support MDPs.");
        } else if (model->getType() == storm::models::ModelType::Ctmc) {
            result = verifySparseCtmc(model->template as<storm::models::sparse::Ctmc<storm::RationalFunction>>(), task);
        } else {
            STORM_LOG_THROW(false, storm::exceptions::NotSupportedException, "The parametric engine currently does not support " << model->getType());
        }
        return result;
    }
#endif
    
    template<storm::dd::DdType DdType, typename ValueType = double>
    std::unique_ptr<storm::modelchecker::CheckResult> verifySymbolicModelWithHybridEngine(std::shared_ptr<storm::models::symbolic::Model<DdType, ValueType>> model, std::shared_ptr<storm::logic::Formula const> const& formula, bool onlyInitialStatesRelevant = false) {
        std::unique_ptr<storm::modelchecker::CheckResult> result;
        storm::modelchecker::CheckTask<storm::logic::Formula, ValueType> task(*formula, onlyInitialStatesRelevant);
        if (model->getType() == storm::models::ModelType::Dtmc) {
            std::shared_ptr<storm::models::symbolic::Dtmc<DdType, ValueType>> dtmc = model->template as<storm::models::symbolic::Dtmc<DdType, ValueType>>();
            storm::modelchecker::HybridDtmcPrctlModelChecker<storm::models::symbolic::Dtmc<DdType, ValueType>> modelchecker(*dtmc);
            if (modelchecker.canHandle(task)) {
                result = modelchecker.check(task);
            }
        } else if (model->getType() == storm::models::ModelType::Ctmc) {
            std::shared_ptr<storm::models::symbolic::Ctmc<DdType, ValueType>> ctmc = model->template as<storm::models::symbolic::Ctmc<DdType, ValueType>>();
            storm::modelchecker::HybridCtmcCslModelChecker<storm::models::symbolic::Ctmc<DdType, ValueType>> modelchecker(*ctmc);
            if (modelchecker.canHandle(task)) {
                result = modelchecker.check(task);
            }
        } else if (model->getType() == storm::models::ModelType::Mdp) {
            std::shared_ptr<storm::models::symbolic::Mdp<DdType, ValueType>> mdp = model->template as<storm::models::symbolic::Mdp<DdType, ValueType>>();
            storm::modelchecker::HybridMdpPrctlModelChecker<storm::models::symbolic::Mdp<DdType, ValueType>> modelchecker(*mdp);
            if (modelchecker.canHandle(task)) {
                result = modelchecker.check(task);
            }
        } else {
            STORM_LOG_THROW(false, storm::exceptions::NotImplementedException, "This functionality is not yet implemented.");
        }
        return result;
    }
    
    template<storm::dd::DdType DdType>
    std::unique_ptr<storm::modelchecker::CheckResult> verifySymbolicModelWithHybridEngine(std::shared_ptr<storm::models::symbolic::Model<DdType, storm::RationalFunction>> model, std::shared_ptr<storm::logic::Formula const> const& formula, bool onlyInitialStatesRelevant = false) {
        std::unique_ptr<storm::modelchecker::CheckResult> result;
        storm::modelchecker::CheckTask<storm::logic::Formula, storm::RationalFunction> task(*formula, onlyInitialStatesRelevant);
        
        STORM_LOG_THROW(model->getType() == storm::models::ModelType::Dtmc, storm::exceptions::NotSupportedException, "Only DTMCs are supported by this engine (in parametric mode).");
        std::shared_ptr<storm::models::symbolic::Dtmc<DdType, storm::RationalFunction>> dtmc = model->template as<storm::models::symbolic::Dtmc<DdType, storm::RationalFunction>>();
        
        if (storm::settings::getModule<storm::settings::modules::CoreSettings>().getEquationSolver() == storm::solver::EquationSolverType::Elimination && storm::settings::getModule<storm::settings::modules::EliminationSettings>().isUseDedicatedModelCheckerSet()) {
            storm::transformer::SymbolicDtmcToSparseDtmcTransformer<DdType, storm::RationalFunction> transformer;
            std::shared_ptr<storm::models::sparse::Dtmc<storm::RationalFunction>> sparseDtmc = transformer.translate(*dtmc);
            
            // Optimally, we could preprocess the model here and apply, for example, bisimulation minimization. However,
            // with the current structure of functions in storm.h and entrypoints.h this is not possible, because later
            // the filters will be applied wrt. to states of the original model, which is problematic.
            // sparseDtmc = preprocessModel<storm::models::sparse::Dtmc<storm::RationalFunction>>(sparseDtmc, {formula})->template as<storm::models::sparse::Dtmc<storm::RationalFunction>>();
            storm::modelchecker::SparseDtmcEliminationModelChecker<storm::models::sparse::Dtmc<storm::RationalFunction>> modelchecker(*sparseDtmc);
            if (modelchecker.canHandle(task)) {
                result = modelchecker.check(task);
                
                // Now translate the sparse result to hybrid one, so it can be filtered with the symbolic initial states of the model later.
                if (result->isQualitative()) {
                    storm::modelchecker::ExplicitQualitativeCheckResult const& explicitResult = result->asExplicitQualitativeCheckResult();
                    
                    if (explicitResult.isResultForAllStates()) {
                        result = std::make_unique<storm::modelchecker::SymbolicQualitativeCheckResult<DdType>>(model->getReachableStates(), storm::dd::Bdd<DdType>::fromVector(model->getManager(), explicitResult.getTruthValuesVector(), transformer.getOdd(), model->getRowVariables()));
                    } else {
                        storm::dd::Odd oldOdd = transformer.getOdd();
                        storm::dd::Odd newOdd = model->getInitialStates().createOdd();
                        storm::storage::BitVector tmp(oldOdd.getTotalOffset());
                        for (auto const& entry : explicitResult.getTruthValuesMap()) {
                            tmp.set(entry.first, entry.second);
                        }
                        result = std::make_unique<storm::modelchecker::SymbolicQualitativeCheckResult<DdType>>(model->getReachableStates(), storm::dd::Bdd<DdType>::fromVector(model->getManager(), tmp, oldOdd, model->getRowVariables()));
                    }
                } else if (result->isQuantitative()) {
                    storm::modelchecker::ExplicitQuantitativeCheckResult<storm::RationalFunction> const& explicitResult = result->asExplicitQuantitativeCheckResult<storm::RationalFunction>();
                    
                    if (explicitResult.isResultForAllStates()) {
                        result = std::make_unique<storm::modelchecker::HybridQuantitativeCheckResult<DdType, storm::RationalFunction>>(model->getReachableStates(), model->getManager().getBddZero(), model->getManager().template getAddZero<storm::RationalFunction>(), model->getReachableStates(), transformer.getOdd(), explicitResult.getValueVector());
                    } else {
                        storm::dd::Odd oldOdd = transformer.getOdd();
                        storm::dd::Odd newOdd = model->getInitialStates().createOdd();
                        std::vector<storm::RationalFunction> tmp(oldOdd.getTotalOffset(), storm::utility::zero<storm::RationalFunction>());
                        for (auto const& entry : explicitResult.getValueMap()) {
                            tmp[entry.first] = entry.second;
                        }
                        std::vector<storm::RationalFunction> newValues = model->getInitialStates().filterExplicitVector(oldOdd, tmp);
                        result = std::make_unique<storm::modelchecker::HybridQuantitativeCheckResult<DdType, storm::RationalFunction>>(model->getReachableStates(), model->getManager().getBddZero(), model->getManager().template getAddZero<storm::RationalFunction>(), model->getInitialStates(), newOdd, newValues);
                    }
                }
            }
        } else {
            storm::modelchecker::HybridDtmcPrctlModelChecker<storm::models::symbolic::Dtmc<DdType, storm::RationalFunction>> modelchecker(*dtmc);
            if (modelchecker.canHandle(task)) {
                result = modelchecker.check(task);
            }
        }
        
        return result;
    }
    
    template<storm::dd::DdType DdType, typename ValueType = double>
    std::unique_ptr<storm::modelchecker::CheckResult> verifySymbolicModelWithDdEngine(std::shared_ptr<storm::models::symbolic::Model<DdType, ValueType>> model, std::shared_ptr<storm::logic::Formula const> const& formula, bool onlyInitialStatesRelevant) {
        std::unique_ptr<storm::modelchecker::CheckResult> result;
        storm::modelchecker::CheckTask<storm::logic::Formula, ValueType> task(*formula, onlyInitialStatesRelevant);
        if (model->getType() == storm::models::ModelType::Dtmc) {
            std::shared_ptr<storm::models::symbolic::Dtmc<DdType, ValueType>> dtmc = model->template as<storm::models::symbolic::Dtmc<DdType, ValueType>>();
            storm::modelchecker::SymbolicDtmcPrctlModelChecker<storm::models::symbolic::Dtmc<DdType, ValueType>> modelchecker(*dtmc);
            if (modelchecker.canHandle(task)) {
                result = modelchecker.check(task);
            }
        } else if (model->getType() == storm::models::ModelType::Mdp) {
            std::shared_ptr<storm::models::symbolic::Mdp<DdType, ValueType>> mdp = model->template as<storm::models::symbolic::Mdp<DdType, ValueType>>();
            storm::modelchecker::SymbolicMdpPrctlModelChecker<storm::models::symbolic::Mdp<DdType, ValueType>> modelchecker(*mdp);
            if (modelchecker.canHandle(task)) {
                result = modelchecker.check(task);
            }
        } else {
            STORM_LOG_THROW(false, storm::exceptions::NotImplementedException, "This functionality is not yet implemented.");
        }
        return result;
    }
    
    template<storm::dd::DdType DdType>
    std::unique_ptr<storm::modelchecker::CheckResult> verifySymbolicModelWithDdEngine(std::shared_ptr<storm::models::symbolic::Model<DdType, storm::RationalFunction>> model, std::shared_ptr<storm::logic::Formula const> const& formula, bool onlyInitialStatesRelevant) {
        std::unique_ptr<storm::modelchecker::CheckResult> result;
        storm::modelchecker::CheckTask<storm::logic::Formula, storm::RationalFunction> task(*formula, onlyInitialStatesRelevant);
        
        STORM_LOG_THROW(model->getType() == storm::models::ModelType::Dtmc, storm::exceptions::NotSupportedException, "Only DTMCs are supported by this engine (in parametric mode).");
        std::shared_ptr<storm::models::symbolic::Dtmc<DdType, storm::RationalFunction>> dtmc = model->template as<storm::models::symbolic::Dtmc<DdType, storm::RationalFunction>>();
        storm::modelchecker::SymbolicDtmcPrctlModelChecker<storm::models::symbolic::Dtmc<DdType, storm::RationalFunction>> modelchecker(*dtmc);
        if (modelchecker.canHandle(task)) {
            result = modelchecker.check(task);
        }
        return result;
    }
    
    template<storm::dd::DdType DdType, typename ValueType>
    std::unique_ptr<storm::modelchecker::CheckResult> verifySymbolicModelWithAbstractionRefinementEngine(storm::storage::SymbolicModelDescription const& model, std::shared_ptr<const storm::logic::Formula> const& formula, bool onlyInitialStatesRelevant = false) {
        
        STORM_LOG_THROW(model.getModelType() == storm::storage::SymbolicModelDescription::ModelType::DTMC || model.getModelType() == storm::storage::SymbolicModelDescription::ModelType::MDP, storm::exceptions::InvalidSettingsException, "Can only treat DTMCs/MDPs using the abstraction refinement engine.");
        
        if (model.getModelType() == storm::storage::SymbolicModelDescription::ModelType::DTMC) {
            storm::modelchecker::GameBasedMdpModelChecker<DdType, storm::models::symbolic::Dtmc<DdType, ValueType>> modelchecker(model);
            storm::modelchecker::CheckTask<storm::logic::Formula> task(*formula, onlyInitialStatesRelevant);
            return modelchecker.check(task);
        } else {
            storm::modelchecker::GameBasedMdpModelChecker<DdType, storm::models::symbolic::Mdp<DdType, ValueType>> modelchecker(model);
            storm::modelchecker::CheckTask<storm::logic::Formula> task(*formula, onlyInitialStatesRelevant);
            return modelchecker.check(task);
        }
    }
    
    /**
     *
     */
    void exportJaniModel(storm::jani::Model const& model, std::vector<storm::jani::Property> const& properties, std::string const& filepath);
    
    template<typename ValueType>
    void exportMatrixToFile(std::shared_ptr<storm::models::sparse::Model<ValueType>> model, std::string const& filepath) {
        STORM_LOG_THROW(model->getType() != storm::models::ModelType::Ctmc, storm::exceptions::NotImplementedException, "This functionality is not yet implemented." );
        std::ofstream stream;
        storm::utility::openFile(filepath, stream);
        model->getTransitionMatrix().printAsMatlabMatrix(stream);
        storm::utility::closeFile(stream);
    }
    
}

#endif	/* STORM_H */