| // This file is part of Eigen, a lightweight C++ template library | 
 | // for linear algebra. | 
 | // | 
 | // Copyright (C) 2009 Benoit Jacob <jacob.benoit.1@gmail.com> | 
 | // | 
 | // This Source Code Form is subject to the terms of the Mozilla | 
 | // Public License v. 2.0. If a copy of the MPL was not distributed | 
 | // with this file, You can obtain one at http://mozilla.org/MPL/2.0/. | 
 |  | 
 | #ifndef EIGEN_MISC_KERNEL_H | 
 | #define EIGEN_MISC_KERNEL_H | 
 |  | 
 | // IWYU pragma: private | 
 | #include "./InternalHeaderCheck.h" | 
 |  | 
 | namespace Eigen { | 
 |  | 
 | namespace internal { | 
 |  | 
 | /** \class kernel_retval_base | 
 |  * | 
 |  */ | 
 | template <typename DecompositionType> | 
 | struct traits<kernel_retval_base<DecompositionType> > { | 
 |   typedef typename DecompositionType::MatrixType MatrixType; | 
 |   typedef Matrix<typename MatrixType::Scalar, | 
 |                  MatrixType::ColsAtCompileTime,  // the number of rows in the "kernel matrix" | 
 |                                                  // is the number of cols of the original matrix | 
 |                                                  // so that the product "matrix * kernel = zero" makes sense | 
 |                  Dynamic,                        // we don't know at compile-time the dimension of the kernel | 
 |                  traits<MatrixType>::Options, | 
 |                  MatrixType::MaxColsAtCompileTime,  // see explanation for 2nd template parameter | 
 |                  MatrixType::MaxColsAtCompileTime   // the kernel is a subspace of the domain space, | 
 |                                                     // whose dimension is the number of columns of the original matrix | 
 |                  > | 
 |       ReturnType; | 
 | }; | 
 |  | 
 | template <typename DecompositionType_> | 
 | struct kernel_retval_base : public ReturnByValue<kernel_retval_base<DecompositionType_> > { | 
 |   typedef DecompositionType_ DecompositionType; | 
 |   typedef ReturnByValue<kernel_retval_base> Base; | 
 |  | 
 |   explicit kernel_retval_base(const DecompositionType& dec) | 
 |       : m_dec(dec), m_rank(dec.rank()), m_cols(m_rank == dec.cols() ? 1 : dec.cols() - m_rank) {} | 
 |  | 
 |   inline Index rows() const { return m_dec.cols(); } | 
 |   inline Index cols() const { return m_cols; } | 
 |   inline Index rank() const { return m_rank; } | 
 |   inline const DecompositionType& dec() const { return m_dec; } | 
 |  | 
 |   template <typename Dest> | 
 |   inline void evalTo(Dest& dst) const { | 
 |     static_cast<const kernel_retval<DecompositionType>*>(this)->evalTo(dst); | 
 |   } | 
 |  | 
 |  protected: | 
 |   const DecompositionType& m_dec; | 
 |   Index m_rank, m_cols; | 
 | }; | 
 |  | 
 | }  // end namespace internal | 
 |  | 
 | #define EIGEN_MAKE_KERNEL_HELPERS(DecompositionType)                   \ | 
 |   typedef typename DecompositionType::MatrixType MatrixType;           \ | 
 |   typedef typename MatrixType::Scalar Scalar;                          \ | 
 |   typedef typename MatrixType::RealScalar RealScalar;                  \ | 
 |   typedef Eigen::internal::kernel_retval_base<DecompositionType> Base; \ | 
 |   using Base::dec;                                                     \ | 
 |   using Base::rank;                                                    \ | 
 |   using Base::rows;                                                    \ | 
 |   using Base::cols;                                                    \ | 
 |   kernel_retval(const DecompositionType& dec) : Base(dec) {} | 
 |  | 
 | }  // end namespace Eigen | 
 |  | 
 | #endif  // EIGEN_MISC_KERNEL_H |