// This file is part of Eigen, a lightweight C++ template library // for linear algebra. // // Copyright (C) 2009-2010 Gael Guennebaud // // 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 . #ifndef EIGEN_CWISE_UNARY_VIEW_H #define EIGEN_CWISE_UNARY_VIEW_H /** \class CwiseUnaryView * \ingroup Core_Module * * \brief Generic lvalue expression of a coefficient-wise unary operator of a matrix or a vector * * \param ViewOp template functor implementing the view * \param MatrixType the type of the matrix we are applying the unary operator * * This class represents a lvalue expression of a generic unary view operator of a matrix or a vector. * It is the return type of real() and imag(), and most of the time this is the only way it is used. * * \sa MatrixBase::unaryViewExpr(const CustomUnaryOp &) const, class CwiseUnaryOp */ template struct ei_traits > : ei_traits { typedef typename ei_result_of< ViewOp(typename ei_traits::Scalar) >::type Scalar; typedef typename MatrixType::Nested MatrixTypeNested; typedef typename ei_cleantype::type _MatrixTypeNested; enum { Flags = (ei_traits<_MatrixTypeNested>::Flags & (HereditaryBits | LvalueBit | LinearAccessBit | DirectAccessBit)), CoeffReadCost = ei_traits<_MatrixTypeNested>::CoeffReadCost + ei_functor_traits::Cost, MatrixTypeInnerStride = ei_inner_stride_at_compile_time::ret, // need to cast the sizeof's from size_t to int explicitly, otherwise: // "error: no integral type can represent all of the enumerator values InnerStrideAtCompileTime = MatrixTypeInnerStride == Dynamic ? int(Dynamic) : int(MatrixTypeInnerStride) * int(sizeof(typename ei_traits::Scalar) / sizeof(Scalar)), OuterStrideAtCompileTime = ei_outer_stride_at_compile_time::ret }; }; template class CwiseUnaryViewImpl; template class CwiseUnaryView : ei_no_assignment_operator, public CwiseUnaryViewImpl::StorageKind> { public: typedef typename CwiseUnaryViewImpl::StorageKind>::Base Base; EIGEN_GENERIC_PUBLIC_INTERFACE(CwiseUnaryView) inline CwiseUnaryView(const MatrixType& mat, const ViewOp& func = ViewOp()) : m_matrix(mat), m_functor(func) {} EIGEN_INHERIT_ASSIGNMENT_OPERATORS(CwiseUnaryView) EIGEN_STRONG_INLINE Index rows() const { return m_matrix.rows(); } EIGEN_STRONG_INLINE Index cols() const { return m_matrix.cols(); } /** \returns the functor representing unary operation */ const ViewOp& functor() const { return m_functor; } /** \returns the nested expression */ const typename ei_cleantype::type& nestedExpression() const { return m_matrix; } /** \returns the nested expression */ typename ei_cleantype::type& nestedExpression() { return m_matrix.const_cast_derived(); } protected: // FIXME changed from MatrixType::Nested because of a weird compilation error with sun CC const typename ei_nested::type m_matrix; ViewOp m_functor; }; template class CwiseUnaryViewImpl : public ei_dense_xpr_base< CwiseUnaryView >::type { public: typedef CwiseUnaryView Derived; typedef typename ei_dense_xpr_base< CwiseUnaryView >::type Base; EIGEN_DENSE_PUBLIC_INTERFACE(Derived) inline Index innerStride() const { return derived().nestedExpression().innerStride() * sizeof(typename ei_traits::Scalar) / sizeof(Scalar); } inline Index outerStride() const { return derived().nestedExpression().outerStride(); } EIGEN_STRONG_INLINE CoeffReturnType coeff(Index row, Index col) const { return derived().functor()(derived().nestedExpression().coeff(row, col)); } EIGEN_STRONG_INLINE CoeffReturnType coeff(Index index) const { return derived().functor()(derived().nestedExpression().coeff(index)); } EIGEN_STRONG_INLINE Scalar& coeffRef(Index row, Index col) { return derived().functor()(const_cast_derived().nestedExpression().coeffRef(row, col)); } EIGEN_STRONG_INLINE Scalar& coeffRef(Index index) { return derived().functor()(const_cast_derived().nestedExpression().coeffRef(index)); } }; #endif // EIGEN_CWISE_UNARY_VIEW_H