indexedTensorMoveable.h

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// Xerus - A General Purpose Tensor Library
// Copyright (C) 2014-2017 Benjamin Huber and Sebastian Wolf. 
// 
// Xerus is free software: you can redistribute it and/or modify
// it under the terms of the GNU Affero General Public License as published
// by the Free Software Foundation, either version 3 of the License,
// or (at your option) any later version.
// 
// Xerus is distributed in the hope that it will be useful,
// but WITHOUT ANY WARRANTY; without even the implied warranty of
// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
// GNU Affero General Public License for more details.
// 
// You should have received a copy of the GNU Affero General Public License
// along with Xerus. If not, see <http://www.gnu.org/licenses/>.
//
// For further information on Xerus visit https://libXerus.org 
// or contact us at contact@libXerus.org.

#pragma once

#include "indexedTensorWritable.h"
#include <type_traits>

namespace xerus {
    namespace internal {
        template<class tensor_type>
        class IndexedTensorMoveable final : public IndexedTensorWritable<tensor_type> {
        public:
            IndexedTensorMoveable();
            
            IndexedTensorMoveable(const IndexedTensorMoveable &_other ) = delete;
            
            IndexedTensorMoveable(      IndexedTensorMoveable &&_other ) noexcept;
            
            IndexedTensorMoveable(tensor_type* const _tensorObject, const std::vector<Index>& _indices);
            
            IndexedTensorMoveable(tensor_type* const _tensorObject,       std::vector<Index>&& _indices);
            
            explicit IndexedTensorMoveable(IndexedTensorReadOnly<tensor_type>&& _other);
            
            template<class X = tensor_type, typename std::enable_if<std::is_base_of<Tensor, typename std::decay<X>::type>::value, int>::type = 0>
            explicit IndexedTensorMoveable(IndexedTensorReadOnly<TensorNetwork>&& _other );
            
            #if __GNUC__ > 4
            template<class X = tensor_type, typename std::enable_if<std::is_base_of<TensorNetwork, typename std::decay<X>::type>::value, int>::type = 0>
            #else
            template<class X = tensor_type>
            #endif
            IndexedTensorMoveable(IndexedTensorReadOnly<Tensor>&& _other);
            
            #if __GNUC__ > 4
            template<class X = tensor_type, typename std::enable_if<std::is_base_of<TensorNetwork, typename std::decay<X>::type>::value, int>::type = 0>
            #else
            template<class X = tensor_type>
            #endif
            IndexedTensorMoveable(IndexedTensorReadOnly<Tensor>& _other) : IndexedTensorMoveable(std::move(_other)) {}
        };
        
        
        /*- - - - - - - - - - - - - - - - - - - - - - - - - - Aritmetic Operators - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - - -*/
        
        template<class tensor_type>
        inline IndexedTensorMoveable<tensor_type> operator*(const value_t _factor, IndexedTensorMoveable<tensor_type>&& _tensor) {
            IndexedTensorMoveable<tensor_type> result(std::move(_tensor));
            *result.tensorObject *= _factor;
            return result;
        }
        
        template<class tensor_type>
        inline IndexedTensorMoveable<tensor_type> operator*(IndexedTensorMoveable<tensor_type>&& _tensor, const value_t _factor) {
            return operator*(_factor, std::move(_tensor));
        }
        
        template<class tensor_type>
        inline IndexedTensorMoveable<tensor_type> operator/(IndexedTensorMoveable<tensor_type>&& _tensor, const value_t _divisor) {
            IndexedTensorMoveable<tensor_type> result(std::move(_tensor));
            *result.tensorObject /= _divisor;
            return result;
        }
    }
}