Michael Ernst Peter / Eigen

src/misc/Image.h@1:3b8049da21b8, 2019-09-24 (annotated)

Committer:
jsoh91
Date:
Tue Sep 24 00:18:23 2019 +0000
Revision:
1:3b8049da21b8
Parent:
0:13a5d365ba16 
ignore and revise some of error parts

Who changed what in which revision?

UserRevisionLine numberNew contents of line
ykuroda 0:13a5d365ba16 1 // This file is part of Eigen, a lightweight C++ template library
ykuroda 0:13a5d365ba16 2 // for linear algebra.
ykuroda 0:13a5d365ba16 3 //
ykuroda 0:13a5d365ba16 4 // Copyright (C) 2009 Benoit Jacob <jacob.benoit.1@gmail.com>
ykuroda 0:13a5d365ba16 5 //
ykuroda 0:13a5d365ba16 6 // This Source Code Form is subject to the terms of the Mozilla
ykuroda 0:13a5d365ba16 7 // Public License v. 2.0. If a copy of the MPL was not distributed
ykuroda 0:13a5d365ba16 8 // with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
ykuroda 0:13a5d365ba16 9
ykuroda 0:13a5d365ba16 10 #ifndef EIGEN_MISC_IMAGE_H
ykuroda 0:13a5d365ba16 11 #define EIGEN_MISC_IMAGE_H
ykuroda 0:13a5d365ba16 12
ykuroda 0:13a5d365ba16 13 namespace Eigen {
ykuroda 0:13a5d365ba16 14
ykuroda 0:13a5d365ba16 15 namespace internal {
ykuroda 0:13a5d365ba16 16
ykuroda 0:13a5d365ba16 17 /** \class image_retval_base
ykuroda 0:13a5d365ba16 18 *
ykuroda 0:13a5d365ba16 19 */
ykuroda 0:13a5d365ba16 20 template<typename DecompositionType>
ykuroda 0:13a5d365ba16 21 struct traits<image_retval_base<DecompositionType> >
ykuroda 0:13a5d365ba16 22 {
ykuroda 0:13a5d365ba16 23 typedef typename DecompositionType::MatrixType MatrixType;
ykuroda 0:13a5d365ba16 24 typedef Matrix<
ykuroda 0:13a5d365ba16 25 typename MatrixType::Scalar,
ykuroda 0:13a5d365ba16 26 MatrixType::RowsAtCompileTime, // the image is a subspace of the destination space, whose
ykuroda 0:13a5d365ba16 27 // dimension is the number of rows of the original matrix
ykuroda 0:13a5d365ba16 28 Dynamic, // we don't know at compile time the dimension of the image (the rank)
ykuroda 0:13a5d365ba16 29 MatrixType::Options,
ykuroda 0:13a5d365ba16 30 MatrixType::MaxRowsAtCompileTime, // the image matrix will consist of columns from the original matrix,
ykuroda 0:13a5d365ba16 31 MatrixType::MaxColsAtCompileTime // so it has the same number of rows and at most as many columns.
ykuroda 0:13a5d365ba16 32 > ReturnType;
ykuroda 0:13a5d365ba16 33 };
ykuroda 0:13a5d365ba16 34
ykuroda 0:13a5d365ba16 35 template<typename _DecompositionType> struct image_retval_base
ykuroda 0:13a5d365ba16 36 : public ReturnByValue<image_retval_base<_DecompositionType> >
ykuroda 0:13a5d365ba16 37 {
ykuroda 0:13a5d365ba16 38 typedef _DecompositionType DecompositionType;
ykuroda 0:13a5d365ba16 39 typedef typename DecompositionType::MatrixType MatrixType;
ykuroda 0:13a5d365ba16 40 typedef ReturnByValue<image_retval_base> Base;
ykuroda 0:13a5d365ba16 41 typedef typename Base::Index Index;
ykuroda 0:13a5d365ba16 42
ykuroda 0:13a5d365ba16 43 image_retval_base(const DecompositionType& dec, const MatrixType& originalMatrix)
ykuroda 0:13a5d365ba16 44 : m_dec(dec), m_rank(dec.rank()),
ykuroda 0:13a5d365ba16 45 m_cols(m_rank == 0 ? 1 : m_rank),
ykuroda 0:13a5d365ba16 46 m_originalMatrix(originalMatrix)
ykuroda 0:13a5d365ba16 47 {}
ykuroda 0:13a5d365ba16 48
ykuroda 0:13a5d365ba16 49 inline Index rows() const { return m_dec.rows(); }
ykuroda 0:13a5d365ba16 50 inline Index cols() const { return m_cols; }
ykuroda 0:13a5d365ba16 51 inline Index rank() const { return m_rank; }
ykuroda 0:13a5d365ba16 52 inline const DecompositionType& dec() const { return m_dec; }
ykuroda 0:13a5d365ba16 53 inline const MatrixType& originalMatrix() const { return m_originalMatrix; }
ykuroda 0:13a5d365ba16 54
ykuroda 0:13a5d365ba16 55 template<typename Dest> inline void evalTo(Dest& dst) const
ykuroda 0:13a5d365ba16 56 {
ykuroda 0:13a5d365ba16 57 static_cast<const image_retval<DecompositionType>*>(this)->evalTo(dst);
ykuroda 0:13a5d365ba16 58 }
ykuroda 0:13a5d365ba16 59
ykuroda 0:13a5d365ba16 60 protected:
ykuroda 0:13a5d365ba16 61 const DecompositionType& m_dec;
ykuroda 0:13a5d365ba16 62 Index m_rank, m_cols;
ykuroda 0:13a5d365ba16 63 const MatrixType& m_originalMatrix;
ykuroda 0:13a5d365ba16 64 };
ykuroda 0:13a5d365ba16 65
ykuroda 0:13a5d365ba16 66 } // end namespace internal
ykuroda 0:13a5d365ba16 67
ykuroda 0:13a5d365ba16 68 #define EIGEN_MAKE_IMAGE_HELPERS(DecompositionType) \
ykuroda 0:13a5d365ba16 69 typedef typename DecompositionType::MatrixType MatrixType; \
ykuroda 0:13a5d365ba16 70 typedef typename MatrixType::Scalar Scalar; \
ykuroda 0:13a5d365ba16 71 typedef typename MatrixType::RealScalar RealScalar; \
ykuroda 0:13a5d365ba16 72 typedef typename MatrixType::Index Index; \
ykuroda 0:13a5d365ba16 73 typedef Eigen::internal::image_retval_base<DecompositionType> Base; \
ykuroda 0:13a5d365ba16 74 using Base::dec; \
ykuroda 0:13a5d365ba16 75 using Base::originalMatrix; \
ykuroda 0:13a5d365ba16 76 using Base::rank; \
ykuroda 0:13a5d365ba16 77 using Base::rows; \
ykuroda 0:13a5d365ba16 78 using Base::cols; \
ykuroda 0:13a5d365ba16 79 image_retval(const DecompositionType& dec, const MatrixType& originalMatrix) \
ykuroda 0:13a5d365ba16 80 : Base(dec, originalMatrix) {}
ykuroda 0:13a5d365ba16 81
ykuroda 0:13a5d365ba16 82 } // end namespace Eigen
ykuroda 0:13a5d365ba16 83
ykuroda 0:13a5d365ba16 84 #endif // EIGEN_MISC_IMAGE_H