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// This file is part of Eigen, a lightweight C++ template library
// for linear algebra.
//
// Copyright (C) 2009 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_MISC_IMAGE_H
#define EIGEN_MISC_IMAGE_H
namespace internal {
/** \class image_retval_base
*
*/
template<typename DecompositionType>
struct traits<image_retval_base<DecompositionType> >
{
typedef typename DecompositionType::MatrixType MatrixType;
typedef Matrix<
typename MatrixType::Scalar,
MatrixType::RowsAtCompileTime, // the image is a subspace of the destination space, whose
// dimension is the number of rows of the original matrix
Dynamic, // we don't know at compile time the dimension of the image (the rank)
MatrixType::Options,
MatrixType::MaxRowsAtCompileTime, // the image matrix will consist of columns from the original matrix,
MatrixType::MaxColsAtCompileTime // so it has the same number of rows and at most as many columns.
> ReturnType;
};
template<typename _DecompositionType> struct image_retval_base
: public ReturnByValue<image_retval_base<_DecompositionType> >
{
typedef _DecompositionType DecompositionType;
typedef typename DecompositionType::MatrixType MatrixType;
typedef ReturnByValue<image_retval_base> Base;
typedef typename Base::Index Index;
image_retval_base(const DecompositionType& dec, const MatrixType& originalMatrix)
: m_dec(dec), m_rank(dec.rank()),
m_cols(m_rank == 0 ? 1 : m_rank),
m_originalMatrix(originalMatrix)
{}
inline Index rows() const { return m_dec.rows(); }
inline Index cols() const { return m_cols; }
inline Index rank() const { return m_rank; }
inline const DecompositionType& dec() const { return m_dec; }
inline const MatrixType& originalMatrix() const { return m_originalMatrix; }
template<typename Dest> inline void evalTo(Dest& dst) const
{
static_cast<const image_retval<DecompositionType>*>(this)->evalTo(dst);
}
protected:
const DecompositionType& m_dec;
Index m_rank, m_cols;
const MatrixType& m_originalMatrix;
};
} // end namespace internal
#define EIGEN_MAKE_IMAGE_HELPERS(DecompositionType) \
typedef typename DecompositionType::MatrixType MatrixType; \
typedef typename MatrixType::Scalar Scalar; \
typedef typename MatrixType::RealScalar RealScalar; \
typedef typename MatrixType::Index Index; \
typedef Eigen::internal::image_retval_base<DecompositionType> Base; \
using Base::dec; \
using Base::originalMatrix; \
using Base::rank; \
using Base::rows; \
using Base::cols; \
image_retval(const DecompositionType& dec, const MatrixType& originalMatrix) \
: Base(dec, originalMatrix) {}
#endif // EIGEN_MISC_IMAGE_H
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