#include "storm/solver/SolveGoal.h"

#include  <memory>

#include "storm/adapters/RationalNumberAdapter.h"
#include "storm/adapters/RationalFunctionAdapter.h"

#include "storm/modelchecker/CheckTask.h"

#include "storm/utility/solver.h"
#include "storm/solver/LinearEquationSolver.h"
#include "storm/solver/MinMaxLinearEquationSolver.h"

namespace storm {
    namespace storage {
        template <typename ValueType> class SparseMatrix;
    }
    
    namespace solver {
        
        template<typename ValueType>
        SolveGoal<ValueType>::SolveGoal() {
            // Intentionally left empty.
        }
        
        template<typename ValueType>
        SolveGoal<ValueType>::SolveGoal(bool minimize) : optimizationDirection(minimize ? OptimizationDirection::Minimize : OptimizationDirection::Maximize) {
            // Intentionally left empty.
        }
        
        template<typename ValueType>
        SolveGoal<ValueType>::SolveGoal(OptimizationDirection optimizationDirection) : optimizationDirection(optimizationDirection) {
            // Intentionally left empty.
        }
        
        template<typename ValueType>
        SolveGoal<ValueType>::SolveGoal(OptimizationDirection optimizationDirection, storm::logic::ComparisonType boundComparisonType, ValueType const& boundThreshold, storm::storage::BitVector const& relevantValues) : optimizationDirection(optimizationDirection), comparisonType(boundComparisonType), threshold(boundThreshold), relevantValueVector(relevantValues) {
            // Intentionally left empty.
        }
        
        template<typename ValueType>
        bool SolveGoal<ValueType>::hasDirection() const {
            return static_cast<bool>(optimizationDirection);
        }
        
        template<typename ValueType>
        void SolveGoal<ValueType>::oneMinus() {
            if (optimizationDirection) {
                if (optimizationDirection == storm::solver::OptimizationDirection::Minimize) {
                    optimizationDirection = storm::solver::OptimizationDirection::Maximize;
                } else {
                    optimizationDirection = storm::solver::OptimizationDirection::Minimize;
                }
            }
            if (threshold) {
                this->threshold = storm::utility::one<ValueType>() - this->threshold.get();
            }
            if (comparisonType) {
                switch (comparisonType.get()) {
                    case storm::logic::ComparisonType::Less: comparisonType = storm::logic::ComparisonType::GreaterEqual; break;
                    case storm::logic::ComparisonType::LessEqual: comparisonType = storm::logic::ComparisonType::Greater; break;
                    case storm::logic::ComparisonType::Greater: comparisonType = storm::logic::ComparisonType::LessEqual; break;
                    case storm::logic::ComparisonType::GreaterEqual: comparisonType = storm::logic::ComparisonType::Less; break;
                }
            }
        }
        
        template<typename ValueType>
        bool SolveGoal<ValueType>::minimize() const {
            return optimizationDirection == OptimizationDirection::Minimize;
        }
        
        template<typename ValueType>
        OptimizationDirection SolveGoal<ValueType>::direction() const {
            return optimizationDirection.get();
        }
        
        template<typename ValueType>
        bool SolveGoal<ValueType>::isBounded() const {
            return comparisonType && threshold && relevantValueVector;
        }
        
        template<typename ValueType>
        bool SolveGoal<ValueType>::boundIsALowerBound() const {
            return (comparisonType.get() == storm::logic::ComparisonType::Greater || comparisonType.get() == storm::logic::ComparisonType::GreaterEqual);
        }
        
        template<typename ValueType>
        bool SolveGoal<ValueType>::boundIsStrict() const {
            return (comparisonType.get() == storm::logic::ComparisonType::Greater || comparisonType.get() == storm::logic::ComparisonType::Less);
        }
        
        template<typename ValueType>
        ValueType const& SolveGoal<ValueType>::thresholdValue() const {
            return threshold.get();
        }
        
        template<typename ValueType>
        bool SolveGoal<ValueType>::hasRelevantValues() const {
            return static_cast<bool>(relevantValueVector);
        }
        
        template<typename ValueType>
        storm::storage::BitVector const& SolveGoal<ValueType>::relevantValues() const {
            return relevantValueVector.get();
        }

        template<typename ValueType>
        storm::storage::BitVector& SolveGoal<ValueType>::relevantValues() {
            return relevantValueVector.get();
        }
        
        template<typename ValueType>
        void SolveGoal<ValueType>::restrictRelevantValues(storm::storage::BitVector const& filter) {
            if (relevantValueVector) {
                relevantValueVector = relevantValueVector.get() % filter;
            }
        }
        
        template<typename ValueType>
        void SolveGoal<ValueType>::setRelevantValues(storm::storage::BitVector&& values) {
            relevantValueVector = std::move(values);
        }

        template class SolveGoal<double>;
        
#ifdef STORM_HAVE_CARL
        template class SolveGoal<storm::RationalNumber>;
        template class SolveGoal<storm::RationalFunction>;
#endif
    }
}