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Diffstat (limited to 'extern/Eigen3/Eigen/src/Core/CwiseUnaryOp.h')
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+// This file is part of Eigen, a lightweight C++ template library
+// for linear algebra.
+//
+// Copyright (C) 2008-2010 Gael Guennebaud <gael.guennebaud@inria.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
+ * \ingroup Core_Module
+ *
+ * \brief Generic expression where a coefficient-wise unary operator is applied to an expression
+ *
+ * \param UnaryOp template functor implementing the operator
+ * \param XprType the type of the expression to which we are applying the unary operator
+ *
+ * This class represents an expression where a unary operator is applied to an expression.
+ * It is the return type of all operations taking exactly 1 input expression, regardless of the
+ * presence of other inputs such as scalars. For example, the operator* in the expression 3*matrix
+ * is considered unary, because only the right-hand side is an expression, and its
+ * return type is a specialization of CwiseUnaryOp.
+ *
+ * Most of the time, this is the only way that it is used, so you typically don't have to name
+ * CwiseUnaryOp types explicitly.
+ *
+ * \sa MatrixBase::unaryExpr(const CustomUnaryOp &) const, class CwiseBinaryOp, class CwiseNullaryOp
+ */
+
+namespace internal {
+template<typename UnaryOp, typename XprType>
+struct traits<CwiseUnaryOp<UnaryOp, XprType> >
+ : traits<XprType>
+{
+ typedef typename result_of<
+ UnaryOp(typename XprType::Scalar)
+ >::type Scalar;
+ typedef typename XprType::Nested XprTypeNested;
+ typedef typename remove_reference<XprTypeNested>::type _XprTypeNested;
+ enum {
+ Flags = _XprTypeNested::Flags & (
+ HereditaryBits | LinearAccessBit | AlignedBit
+ | (functor_traits<UnaryOp>::PacketAccess ? PacketAccessBit : 0)),
+ CoeffReadCost = _XprTypeNested::CoeffReadCost + functor_traits<UnaryOp>::Cost
+ };
+};
+}
+
+template<typename UnaryOp, typename XprType, typename StorageKind>
+class CwiseUnaryOpImpl;
+
+template<typename UnaryOp, typename XprType>
+class CwiseUnaryOp : internal::no_assignment_operator,
+ public CwiseUnaryOpImpl<UnaryOp, XprType, typename internal::traits<XprType>::StorageKind>
+{
+ public:
+
+ typedef typename CwiseUnaryOpImpl<UnaryOp, XprType,typename internal::traits<XprType>::StorageKind>::Base Base;
+ EIGEN_GENERIC_PUBLIC_INTERFACE(CwiseUnaryOp)
+
+ inline CwiseUnaryOp(const XprType& xpr, const UnaryOp& func = UnaryOp())
+ : m_xpr(xpr), m_functor(func) {}
+
+ EIGEN_STRONG_INLINE Index rows() const { return m_xpr.rows(); }
+ EIGEN_STRONG_INLINE Index cols() const { return m_xpr.cols(); }
+
+ /** \returns the functor representing the unary operation */
+ const UnaryOp& functor() const { return m_functor; }
+
+ /** \returns the nested expression */
+ const typename internal::remove_all<typename XprType::Nested>::type&
+ nestedExpression() const { return m_xpr; }
+
+ /** \returns the nested expression */
+ typename internal::remove_all<typename XprType::Nested>::type&
+ nestedExpression() { return m_xpr.const_cast_derived(); }
+
+ protected:
+ const typename XprType::Nested m_xpr;
+ const UnaryOp m_functor;
+};
+
+// This is the generic implementation for dense storage.
+// It can be used for any expression types implementing the dense concept.
+template<typename UnaryOp, typename XprType>
+class CwiseUnaryOpImpl<UnaryOp,XprType,Dense>
+ : public internal::dense_xpr_base<CwiseUnaryOp<UnaryOp, XprType> >::type
+{
+ public:
+
+ typedef CwiseUnaryOp<UnaryOp, XprType> Derived;
+ typedef typename internal::dense_xpr_base<CwiseUnaryOp<UnaryOp, XprType> >::type Base;
+ EIGEN_DENSE_PUBLIC_INTERFACE(Derived)
+
+ EIGEN_STRONG_INLINE const Scalar coeff(Index row, Index col) const
+ {
+ return derived().functor()(derived().nestedExpression().coeff(row, col));
+ }
+
+ template<int LoadMode>
+ EIGEN_STRONG_INLINE PacketScalar packet(Index row, Index col) const
+ {
+ return derived().functor().packetOp(derived().nestedExpression().template packet<LoadMode>(row, col));
+ }
+
+ EIGEN_STRONG_INLINE const Scalar coeff(Index index) const
+ {
+ return derived().functor()(derived().nestedExpression().coeff(index));
+ }
+
+ template<int LoadMode>
+ EIGEN_STRONG_INLINE PacketScalar packet(Index index) const
+ {
+ return derived().functor().packetOp(derived().nestedExpression().template packet<LoadMode>(index));
+ }
+};
+
+#endif // EIGEN_CWISE_UNARY_OP_H