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add a DenseBase class for MAtrixBase and ArrayBase and more code factorisation
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161
Eigen/src/Array/ArrayWrapper.h
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161
Eigen/src/Array/ArrayWrapper.h
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// This file is part of Eigen, a lightweight C++ template library
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// for linear algebra.
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//
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// Copyright (C) 2009 Gael Guennebaud <g.gael@free.fr>
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//
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// Eigen is free software; you can redistribute it and/or
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// modify it under the terms of the GNU Lesser General Public
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// License as published by the Free Software Foundation; either
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// version 3 of the License, or (at your option) any later version.
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//
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// Alternatively, you can redistribute it and/or
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// modify it under the terms of the GNU General Public License as
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// published by the Free Software Foundation; either version 2 of
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// the License, 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 Lesser General Public License or the
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// GNU General Public License for more details.
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//
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// You should have received a copy of the GNU Lesser General Public
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// License and a copy of the GNU General Public License along with
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// Eigen. If not, see <http://www.gnu.org/licenses/>.
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#ifndef EIGEN_ARRAYWRAPPER_H
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#define EIGEN_ARRAYWRAPPER_H
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template<typename ExpressionType>
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struct ei_traits<ArrayWrapper<ExpressionType> >
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: public ei_traits<ExpressionType>
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{};
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template<typename ExpressionType>
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class ArrayWrapper : public ArrayBase<ArrayWrapper<ExpressionType> >
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{
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public:
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EIGEN_GENERIC_PUBLIC_INTERFACE(ArrayWrapper)
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inline ArrayWrapper(const ExpressionType& matrix) : m_expression(matrix) {}
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inline int rows() const { return m_expression.rows(); }
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inline int cols() const { return m_expression.cols(); }
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inline int stride() const { return m_expression.stride(); }
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inline const CoeffReturnType coeff(int row, int col) const
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{
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return m_expression.coeff(row, col);
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}
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inline Scalar& coeffRef(int row, int col)
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{
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return m_expression.const_cast_derived().coeffRef(row, col);
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}
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inline const CoeffReturnType coeff(int index) const
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{
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return m_expression.coeff(index);
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}
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inline Scalar& coeffRef(int index)
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{
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return m_expression.const_cast_derived().coeffRef(index);
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}
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template<int LoadMode>
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inline const PacketScalar packet(int row, int col) const
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{
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return m_expression.template packet<LoadMode>(row, col);
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}
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template<int LoadMode>
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inline void writePacket(int row, int col, const PacketScalar& x)
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{
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m_expression.const_cast_derived().template writePacket<LoadMode>(row, col, x);
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}
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template<int LoadMode>
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inline const PacketScalar packet(int index) const
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{
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return m_expression.template packet<LoadMode>(index);
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}
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template<int LoadMode>
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inline void writePacket(int index, const PacketScalar& x)
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{
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m_expression.const_cast_derived().template writePacket<LoadMode>(index, x);
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}
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template<typename Dest>
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inline void evalTo(Dest& dst) const { dst = m_expression; }
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protected:
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const ExpressionType& m_expression;
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};
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template<typename ExpressionType>
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struct ei_traits<MatrixWrapper<ExpressionType> >
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: public ei_traits<ExpressionType>
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{};
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template<typename ExpressionType>
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class MatrixWrapper : public MatrixBase<MatrixWrapper<ExpressionType> >
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{
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public:
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EIGEN_GENERIC_PUBLIC_INTERFACE(MatrixWrapper)
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inline MatrixWrapper(const ExpressionType& matrix) : m_expression(matrix) {}
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inline int rows() const { return m_expression.rows(); }
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inline int cols() const { return m_expression.cols(); }
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inline int stride() const { return m_expression.stride(); }
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inline const CoeffReturnType coeff(int row, int col) const
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{
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return m_expression.coeff(row, col);
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}
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inline Scalar& coeffRef(int row, int col)
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{
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return m_expression.const_cast_derived().coeffRef(row, col);
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}
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inline const CoeffReturnType coeff(int index) const
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{
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return m_expression.coeff(index);
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}
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inline Scalar& coeffRef(int index)
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{
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return m_expression.const_cast_derived().coeffRef(index);
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}
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template<int LoadMode>
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inline const PacketScalar packet(int row, int col) const
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{
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return m_expression.template packet<LoadMode>(row, col);
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}
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template<int LoadMode>
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inline void writePacket(int row, int col, const PacketScalar& x)
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{
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m_expression.const_cast_derived().template writePacket<LoadMode>(row, col, x);
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}
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template<int LoadMode>
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inline const PacketScalar packet(int index) const
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{
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return m_expression.template packet<LoadMode>(index);
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}
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template<int LoadMode>
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inline void writePacket(int index, const PacketScalar& x)
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{
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m_expression.const_cast_derived().template writePacket<LoadMode>(index, x);
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}
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protected:
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const ExpressionType& m_expression;
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};
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#endif // EIGEN_ARRAYWRAPPER_H
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