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// This file is part of Eigen, a lightweight C++ template library
// for linear algebra.
//
// Copyright (C) 2008-2010 Gael Guennebaud <g.gael@free.fr>
// Copyright (C) 2006-2008 Benoit Jacob <jacob.benoit.1@gmail.com>
//
// Eigen is free software; you can redistribute it and/or
// modify it under the terms of the GNU Lesser General Public
// License as published by the Free Software Foundation; either
// version 3 of the License, or (at your option) any later version.
//
// Alternatively, you can redistribute it and/or
// modify it under the terms of the GNU General Public License as
// published by the Free Software Foundation; either version 2 of
// the License, or (at your option) any later version.
//
// Eigen 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 Lesser General Public License or the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU Lesser General Public
// License and a copy of the GNU General Public License along with
// Eigen. If not, see <http://www.gnu.org/licenses/>.
#ifndef EIGEN_CWISE_UNARY_OP_H
#define EIGEN_CWISE_UNARY_OP_H
/** \class CwiseUnaryOp
*
* \brief Generic expression of a coefficient-wise unary operator of a matrix or a vector
*
* \param UnaryOp template functor implementing the operator
* \param MatrixType the type of the matrix we are applying the unary operator
*
* This class represents an expression of a generic unary operator of a matrix or a vector.
* It is the return type of the unary operator-, of a matrix or a vector, and most
* of the time this is the only way it is used.
*
* \sa MatrixBase::unaryExpr(const CustomUnaryOp &) const, class CwiseBinaryOp, class CwiseNullaryOp
*/
template<typename UnaryOp, typename MatrixType>
struct ei_traits<CwiseUnaryOp<UnaryOp, MatrixType> >
: ei_traits<MatrixType>
{
typedef typename ei_result_of<
UnaryOp(typename MatrixType::Scalar)
>::type Scalar;
typedef typename MatrixType::Nested MatrixTypeNested;
typedef typename ei_unref<MatrixTypeNested>::type _MatrixTypeNested;
enum {
Flags = _MatrixTypeNested::Flags & (
HereditaryBits | LinearAccessBit | AlignedBit
| (ei_functor_traits<UnaryOp>::PacketAccess ? PacketAccessBit : 0)),
CoeffReadCost = _MatrixTypeNested::CoeffReadCost + ei_functor_traits<UnaryOp>::Cost
};
};
template<typename UnaryOp, typename MatrixType, typename StorageKind>
class CwiseUnaryOpImpl;
template<typename UnaryOp, typename MatrixType>
class CwiseUnaryOp : ei_no_assignment_operator,
public CwiseUnaryOpImpl<UnaryOp, MatrixType, typename ei_traits<MatrixType>::StorageKind>
{
public:
typedef typename CwiseUnaryOpImpl<UnaryOp, MatrixType,typename ei_traits<MatrixType>::StorageKind>::Base Base;
EIGEN_GENERIC_PUBLIC_INTERFACE_NEW(CwiseUnaryOp)
inline CwiseUnaryOp(const MatrixType& mat, const UnaryOp& func = UnaryOp())
: m_matrix(mat), m_functor(func) {}
EIGEN_STRONG_INLINE int rows() const { return m_matrix.rows(); }
EIGEN_STRONG_INLINE int cols() const { return m_matrix.cols(); }
/** \returns the functor representing the unary operation */
const UnaryOp& functor() const { return m_functor; }
/** \returns the nested expression */
const typename ei_cleantype<typename MatrixType::Nested>::type&
nestedExpression() const { return m_matrix; }
/** \returns the nested expression */
typename ei_cleantype<typename MatrixType::Nested>::type&
nestedExpression() { return m_matrix.const_cast_derived(); }
protected:
const typename MatrixType::Nested m_matrix;
const UnaryOp m_functor;
};
// This is the generic implementation for dense storage.
// It can be used for any matrix types implementing the dense concept.
template<typename UnaryOp, typename MatrixType>
class CwiseUnaryOpImpl<UnaryOp,MatrixType,Dense>
: public MatrixType::template MakeBase< CwiseUnaryOp<UnaryOp, MatrixType> >::Type
{
typedef CwiseUnaryOp<UnaryOp, MatrixType> Derived;
public:
typedef typename MatrixType::template MakeBase< CwiseUnaryOp<UnaryOp, MatrixType> >::Type Base;
EIGEN_DENSE_PUBLIC_INTERFACE(Derived)
EIGEN_STRONG_INLINE const Scalar coeff(int row, int col) const
{
return derived().functor()(derived().nestedExpression().coeff(row, col));
}
template<int LoadMode>
EIGEN_STRONG_INLINE PacketScalar packet(int row, int col) const
{
return derived().functor().packetOp(derived().nestedExpression().template packet<LoadMode>(row, col));
}
EIGEN_STRONG_INLINE const Scalar coeff(int index) const
{
return derived().functor()(derived().nestedExpression().coeff(index));
}
template<int LoadMode>
EIGEN_STRONG_INLINE PacketScalar packet(int index) const
{
return derived().functor().packetOp(derived().nestedExpression().template packet<LoadMode>(index));
}
};
#endif // EIGEN_CWISE_UNARY_OP_H
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