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Diffstat (limited to 'extern/Eigen2/Eigen/src/Core/CwiseUnaryOp.h')
-rw-r--r--extern/Eigen2/Eigen/src/Core/CwiseUnaryOp.h229
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diff --git a/extern/Eigen2/Eigen/src/Core/CwiseUnaryOp.h b/extern/Eigen2/Eigen/src/Core/CwiseUnaryOp.h
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-// This file is part of Eigen, a lightweight C++ template library
-// for linear algebra. Eigen itself is part of the KDE project.
-//
-// Copyright (C) 2008 Gael Guennebaud <g.gael@free.fr>
-// Copyright (C) 2006-2008 Benoit Jacob <jacob.benoit.1@gmail.com>
-//
-// 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 <http://www.gnu.org/licenses/>.
-
-#ifndef EIGEN_CWISE_UNARY_OP_H
-#define EIGEN_CWISE_UNARY_OP_H
-
-/** \class CwiseUnaryOp
- *
- * \brief Generic expression of a coefficient-wise unary operator of a matrix or a vector
- *
- * \param UnaryOp template functor implementing the operator
- * \param MatrixType the type of the matrix we are applying the unary operator
- *
- * This class represents an expression of a generic unary operator of a matrix or a vector.
- * It is the return type of the unary operator-, of a matrix or a vector, and most
- * of the time this is the only way it is used.
- *
- * \sa MatrixBase::unaryExpr(const CustomUnaryOp &) const, class CwiseBinaryOp, class CwiseNullaryOp
- */
-template<typename UnaryOp, typename MatrixType>
-struct ei_traits<CwiseUnaryOp<UnaryOp, MatrixType> >
- : ei_traits<MatrixType>
-{
- typedef typename ei_result_of<
- UnaryOp(typename MatrixType::Scalar)
- >::type Scalar;
- typedef typename MatrixType::Nested MatrixTypeNested;
- typedef typename ei_unref<MatrixTypeNested>::type _MatrixTypeNested;
- enum {
- Flags = (_MatrixTypeNested::Flags & (
- HereditaryBits | LinearAccessBit | AlignedBit
- | (ei_functor_traits<UnaryOp>::PacketAccess ? PacketAccessBit : 0))),
- CoeffReadCost = _MatrixTypeNested::CoeffReadCost + ei_functor_traits<UnaryOp>::Cost
- };
-};
-
-template<typename UnaryOp, typename MatrixType>
-class CwiseUnaryOp : ei_no_assignment_operator,
- public MatrixBase<CwiseUnaryOp<UnaryOp, MatrixType> >
-{
- public:
-
- EIGEN_GENERIC_PUBLIC_INTERFACE(CwiseUnaryOp)
-
- inline CwiseUnaryOp(const MatrixType& mat, const UnaryOp& func = UnaryOp())
- : m_matrix(mat), m_functor(func) {}
-
- EIGEN_STRONG_INLINE int rows() const { return m_matrix.rows(); }
- EIGEN_STRONG_INLINE int cols() const { return m_matrix.cols(); }
-
- EIGEN_STRONG_INLINE const Scalar coeff(int row, int col) const
- {
- return m_functor(m_matrix.coeff(row, col));
- }
-
- template<int LoadMode>
- EIGEN_STRONG_INLINE PacketScalar packet(int row, int col) const
- {
- return m_functor.packetOp(m_matrix.template packet<LoadMode>(row, col));
- }
-
- EIGEN_STRONG_INLINE const Scalar coeff(int index) const
- {
- return m_functor(m_matrix.coeff(index));
- }
-
- template<int LoadMode>
- EIGEN_STRONG_INLINE PacketScalar packet(int index) const
- {
- return m_functor.packetOp(m_matrix.template packet<LoadMode>(index));
- }
-
- protected:
- const typename MatrixType::Nested m_matrix;
- const UnaryOp m_functor;
-};
-
-/** \returns an expression of a custom coefficient-wise unary operator \a func of *this
- *
- * The template parameter \a CustomUnaryOp is the type of the functor
- * of the custom unary operator.
- *
- * \addexample CustomCwiseUnaryFunctors \label How to use custom coeff wise unary functors
- *
- * Example:
- * \include class_CwiseUnaryOp.cpp
- * Output: \verbinclude class_CwiseUnaryOp.out
- *
- * \sa class CwiseUnaryOp, class CwiseBinarOp, MatrixBase::operator-, Cwise::abs
- */
-template<typename Derived>
-template<typename CustomUnaryOp>
-EIGEN_STRONG_INLINE const CwiseUnaryOp<CustomUnaryOp, Derived>
-MatrixBase<Derived>::unaryExpr(const CustomUnaryOp& func) const
-{
- return CwiseUnaryOp<CustomUnaryOp, Derived>(derived(), func);
-}
-
-/** \returns an expression of the opposite of \c *this
- */
-template<typename Derived>
-EIGEN_STRONG_INLINE const CwiseUnaryOp<ei_scalar_opposite_op<typename ei_traits<Derived>::Scalar>,Derived>
-MatrixBase<Derived>::operator-() const
-{
- return derived();
-}
-
-/** \returns an expression of the coefficient-wise absolute value of \c *this
- *
- * Example: \include Cwise_abs.cpp
- * Output: \verbinclude Cwise_abs.out
- *
- * \sa abs2()
- */
-template<typename ExpressionType>
-EIGEN_STRONG_INLINE const EIGEN_CWISE_UNOP_RETURN_TYPE(ei_scalar_abs_op)
-Cwise<ExpressionType>::abs() const
-{
- return _expression();
-}
-
-/** \returns an expression of the coefficient-wise squared absolute value of \c *this
- *
- * Example: \include Cwise_abs2.cpp
- * Output: \verbinclude Cwise_abs2.out
- *
- * \sa abs(), square()
- */
-template<typename ExpressionType>
-EIGEN_STRONG_INLINE const EIGEN_CWISE_UNOP_RETURN_TYPE(ei_scalar_abs2_op)
-Cwise<ExpressionType>::abs2() const
-{
- return _expression();
-}
-
-/** \returns an expression of the complex conjugate of \c *this.
- *
- * \sa adjoint() */
-template<typename Derived>
-EIGEN_STRONG_INLINE typename MatrixBase<Derived>::ConjugateReturnType
-MatrixBase<Derived>::conjugate() const
-{
- return ConjugateReturnType(derived());
-}
-
-/** \returns an expression of the real part of \c *this.
- *
- * \sa imag() */
-template<typename Derived>
-EIGEN_STRONG_INLINE const typename MatrixBase<Derived>::RealReturnType
-MatrixBase<Derived>::real() const { return derived(); }
-
-/** \returns an expression of the imaginary part of \c *this.
- *
- * \sa real() */
-template<typename Derived>
-EIGEN_STRONG_INLINE const typename MatrixBase<Derived>::ImagReturnType
-MatrixBase<Derived>::imag() const { return derived(); }
-
-/** \returns an expression of *this with the \a Scalar type casted to
- * \a NewScalar.
- *
- * The template parameter \a NewScalar is the type we are casting the scalars to.
- *
- * \sa class CwiseUnaryOp
- */
-template<typename Derived>
-template<typename NewType>
-EIGEN_STRONG_INLINE const CwiseUnaryOp<ei_scalar_cast_op<typename ei_traits<Derived>::Scalar, NewType>, Derived>
-MatrixBase<Derived>::cast() const
-{
- return derived();
-}
-
-/** \relates MatrixBase */
-template<typename Derived>
-EIGEN_STRONG_INLINE const typename MatrixBase<Derived>::ScalarMultipleReturnType
-MatrixBase<Derived>::operator*(const Scalar& scalar) const
-{
- return CwiseUnaryOp<ei_scalar_multiple_op<Scalar>, Derived>
- (derived(), ei_scalar_multiple_op<Scalar>(scalar));
-}
-
-/** \relates MatrixBase */
-template<typename Derived>
-EIGEN_STRONG_INLINE const CwiseUnaryOp<ei_scalar_quotient1_op<typename ei_traits<Derived>::Scalar>, Derived>
-MatrixBase<Derived>::operator/(const Scalar& scalar) const
-{
- return CwiseUnaryOp<ei_scalar_quotient1_op<Scalar>, Derived>
- (derived(), ei_scalar_quotient1_op<Scalar>(scalar));
-}
-
-template<typename Derived>
-EIGEN_STRONG_INLINE Derived&
-MatrixBase<Derived>::operator*=(const Scalar& other)
-{
- return *this = *this * other;
-}
-
-template<typename Derived>
-EIGEN_STRONG_INLINE Derived&
-MatrixBase<Derived>::operator/=(const Scalar& other)
-{
- return *this = *this / other;
-}
-
-#endif // EIGEN_CWISE_UNARY_OP_H