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dad245af56
with minimal code duplication. There now are only two (2) const_cast remaining in the whole source code. - eigen2 now fully allows copying a row-vector into a column-vector. added a unit-test for that. - split unit tests, improve docs, various improvements.
135 lines
4.1 KiB
C++
135 lines
4.1 KiB
C++
// This file is part of Eigen, a lightweight C++ template library
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// for linear algebra. Eigen itself is part of the KDE project.
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//
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// Copyright (C) 2006-2007 Benoit Jacob <jacob@math.jussieu.fr>
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//
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// Eigen is free software; you can redistribute it and/or modify it under the
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// terms of the GNU General Public License as published by the Free Software
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// Foundation; either version 2 or (at your option) any later version.
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//
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// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
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// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
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// FOR A PARTICULAR PURPOSE. See the GNU General Public License for more
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// details.
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//
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// You should have received a copy of the GNU General Public License along
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// with Eigen; if not, write to the Free Software Foundation, Inc., 51
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// Franklin St, Fifth Floor, Boston, MA 02110-1301 USA.
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//
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// As a special exception, if other files instantiate templates or use macros
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// or functions from this file, or you compile this file and link it
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// with other works to produce a work based on this file, this file does not
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// by itself cause the resulting work to be covered by the GNU General Public
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// License. This exception does not invalidate any other reasons why a work
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// based on this file might be covered by the GNU General Public License.
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#ifndef EIGEN_MAP_H
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#define EIGEN_MAP_H
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template<typename MatrixType> class Map
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: public MatrixBase<typename MatrixType::Scalar, Map<MatrixType> >
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{
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public:
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typedef typename MatrixType::Scalar Scalar;
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friend class MatrixBase<Scalar, Map<MatrixType> >;
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Map(const Scalar* data, int rows, int cols) : m_data(data), m_rows(rows), m_cols(cols)
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{
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assert(rows > 0 && cols > 0);
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}
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EIGEN_INHERIT_ASSIGNMENT_OPERATORS(Map)
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private:
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static const int _RowsAtCompileTime = MatrixType::RowsAtCompileTime,
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_ColsAtCompileTime = MatrixType::ColsAtCompileTime;
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const Map& _ref() const { return *this; }
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int _rows() const { return m_rows; }
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int _cols() const { return m_cols; }
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const Scalar& _coeff(int row, int col) const
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{
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return m_data[row + col * m_rows];
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}
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Scalar& _coeffRef(int row, int col)
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{
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return const_cast<Scalar*>(m_data)[row + col * m_rows];
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}
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protected:
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const Scalar* m_data;
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int m_rows, m_cols;
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};
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template<typename Scalar, typename Derived>
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const Map<Derived> MatrixBase<Scalar, Derived>::map(const Scalar* data, int rows, int cols)
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{
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return Map<Derived>(data, rows, cols);
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}
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template<typename Scalar, typename Derived>
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const Map<Derived> MatrixBase<Scalar, Derived>::map(const Scalar* data, int size)
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{
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assert(IsVectorAtCompileTime);
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if(ColsAtCompileTime == 1)
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return Map<Derived>(data, size, 1);
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else
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return Map<Derived>(data, 1, size);
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}
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template<typename Scalar, typename Derived>
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const Map<Derived> MatrixBase<Scalar, Derived>::map(const Scalar* data)
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{
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return Map<Derived>(data, RowsAtCompileTime, ColsAtCompileTime);
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}
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template<typename Scalar, typename Derived>
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Map<Derived> MatrixBase<Scalar, Derived>::map(Scalar* data, int rows, int cols)
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{
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return Map<Derived>(data, rows, cols);
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}
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template<typename Scalar, typename Derived>
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Map<Derived> MatrixBase<Scalar, Derived>::map(Scalar* data, int size)
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{
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assert(IsVectorAtCompileTime);
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if(ColsAtCompileTime == 1)
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return Map<Derived>(data, size, 1);
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else
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return Map<Derived>(data, 1, size);
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}
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template<typename Scalar, typename Derived>
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Map<Derived> MatrixBase<Scalar, Derived>::map(Scalar* data)
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{
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return Map<Derived>(data, RowsAtCompileTime, ColsAtCompileTime);
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}
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template<typename _Scalar, int _Rows, int _Cols>
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Matrix<_Scalar, _Rows, _Cols>
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::Matrix(const Scalar *data, int rows, int cols)
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: Storage(rows, cols)
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{
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*this = map(data, rows, cols);
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}
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template<typename _Scalar, int _Rows, int _Cols>
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Matrix<_Scalar, _Rows, _Cols>
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::Matrix(const Scalar *data, int size)
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: Storage(size)
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{
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*this = map(data, size);
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}
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template<typename _Scalar, int _Rows, int _Cols>
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Matrix<_Scalar, _Rows, _Cols>
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::Matrix(const Scalar *data)
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: Storage()
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{
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*this = map(data);
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}
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#endif // EIGEN_MAP_H
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