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325 lines
13 KiB
C++
325 lines
13 KiB
C++
// // 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) 2008 Gael Guennebaud <g.gael@free.fr>
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// Copyright (C) 2006-2008 Benoit Jacob <jacob.benoit.1@gmail.com>
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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_XPRHELPER_H
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#define EIGEN_XPRHELPER_H
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// just a workaround because GCC seems to not really like empty structs
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#ifdef __GNUG__
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struct ei_empty_struct{char _ei_dummy_;};
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#define EIGEN_EMPTY_STRUCT : Eigen::ei_empty_struct
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#else
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#define EIGEN_EMPTY_STRUCT
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#endif
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//classes inheriting ei_no_assignment_operator don't generate a default operator=.
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class ei_no_assignment_operator
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{
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private:
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ei_no_assignment_operator& operator=(const ei_no_assignment_operator&);
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};
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/** \internal If the template parameter Value is Dynamic, this class is just a wrapper around an int variable that
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* can be accessed using value() and setValue().
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* Otherwise, this class is an empty structure and value() just returns the template parameter Value.
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*/
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template<int Value> class ei_int_if_dynamic EIGEN_EMPTY_STRUCT
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{
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public:
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ei_int_if_dynamic() {}
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explicit ei_int_if_dynamic(int) {}
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static int value() { return Value; }
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void setValue(int) {}
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};
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template<> class ei_int_if_dynamic<Dynamic>
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{
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int m_value;
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ei_int_if_dynamic() {}
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public:
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explicit ei_int_if_dynamic(int value) : m_value(value) {}
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int value() const { return m_value; }
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void setValue(int value) { m_value = value; }
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};
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template<typename T> struct ei_functor_traits
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{
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enum
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{
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Cost = 10,
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PacketAccess = false
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};
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};
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template<typename T> struct ei_packet_traits;
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template<typename T> struct ei_unpacket_traits
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{
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typedef T type;
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enum {size=1};
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};
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template<typename Scalar, int Rows, int Cols, int Options, int MaxRows, int MaxCols>
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class ei_compute_matrix_flags
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{
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enum {
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row_major_bit = Options&RowMajor ? RowMajorBit : 0,
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inner_max_size = MaxCols==1 ? MaxRows
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: MaxRows==1 ? MaxCols
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: row_major_bit ? MaxCols : MaxRows,
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is_big = inner_max_size == Dynamic,
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is_packet_size_multiple = MaxRows==Dynamic || MaxCols==Dynamic || ((MaxCols*MaxRows) % ei_packet_traits<Scalar>::size) == 0,
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aligned_bit = (((Options&DontAlign)==0) && (is_big || is_packet_size_multiple)) ? AlignedBit : 0,
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packet_access_bit = ei_packet_traits<Scalar>::size > 1 && aligned_bit ? PacketAccessBit : 0
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};
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public:
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enum { ret = LinearAccessBit | DirectAccessBit | packet_access_bit | row_major_bit | aligned_bit };
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};
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template<int _Rows, int _Cols> struct ei_size_at_compile_time
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{
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enum { ret = (_Rows==Dynamic || _Cols==Dynamic) ? Dynamic : _Rows * _Cols };
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};
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/* ei_plain_matrix_type : the difference from ei_eval is that ei_plain_matrix_type is always a plain matrix type,
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* whereas ei_eval is a const reference in the case of a matrix
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*/
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// template<typename Derived> class MatrixBase;
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// template<typename Derived> class ArrayBase;
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// template<typename Object> struct ei_is_matrix_or_array
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// {
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// struct is_matrix {int a[1];};
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// struct is_array {int a[2];};
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// struct is_none {int a[3];};
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//
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// template<typename T>
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// static is_matrix testBaseClass(const MatrixBase<T>*);
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// template<typename T>
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// static is_array testBaseClass(const ArrayBase<T>*);
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// // static is_none testBaseClass(...);
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//
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// enum {BaseClassType = sizeof(testBaseClass(static_cast<const Object*>(0)))};
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// };
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template<typename T, typename StorageType = typename ei_traits<T>::StorageType> class ei_plain_matrix_type;
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template<typename T, typename BaseClassType> struct ei_plain_matrix_type_dense;
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template<typename T> struct ei_plain_matrix_type<T,Dense>
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{
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typedef typename ei_plain_matrix_type_dense<T,typename ei_traits<T>::DenseStorageType>::type type;
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};
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template<typename T> struct ei_plain_matrix_type_dense<T,DenseStorageMatrix>
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{
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typedef Matrix<typename ei_traits<T>::Scalar,
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ei_traits<T>::RowsAtCompileTime,
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ei_traits<T>::ColsAtCompileTime,
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AutoAlign | (ei_traits<T>::Flags&RowMajorBit ? RowMajor : ColMajor),
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ei_traits<T>::MaxRowsAtCompileTime,
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ei_traits<T>::MaxColsAtCompileTime
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> type;
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};
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template<typename T> struct ei_plain_matrix_type_dense<T,DenseStorageArray>
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{
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typedef Array<typename ei_traits<T>::Scalar,
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ei_traits<T>::RowsAtCompileTime,
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ei_traits<T>::ColsAtCompileTime,
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AutoAlign | (ei_traits<T>::Flags&RowMajorBit ? RowMajor : ColMajor),
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ei_traits<T>::MaxRowsAtCompileTime,
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ei_traits<T>::MaxColsAtCompileTime
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> type;
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};
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/* ei_eval : the return type of eval(). For matrices, this is just a const reference
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* in order to avoid a useless copy
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*/
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template<typename T, typename StorageType = typename ei_traits<T>::StorageType> class ei_eval;
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template<typename T> struct ei_eval<T,Dense>
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{
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typedef typename ei_plain_matrix_type<T>::type type;
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// typedef typename T::PlainMatrixType type;
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// typedef T::Matrix<typename ei_traits<T>::Scalar,
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// ei_traits<T>::RowsAtCompileTime,
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// ei_traits<T>::ColsAtCompileTime,
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// AutoAlign | (ei_traits<T>::Flags&RowMajorBit ? RowMajor : ColMajor),
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// ei_traits<T>::MaxRowsAtCompileTime,
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// ei_traits<T>::MaxColsAtCompileTime
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// > type;
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};
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// for matrices, no need to evaluate, just use a const reference to avoid a useless copy
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template<typename _Scalar, int _Rows, int _Cols, int _StorageOrder, int _MaxRows, int _MaxCols>
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struct ei_eval<Matrix<_Scalar, _Rows, _Cols, _StorageOrder, _MaxRows, _MaxCols>, Dense>
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{
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typedef const Matrix<_Scalar, _Rows, _Cols, _StorageOrder, _MaxRows, _MaxCols>& type;
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};
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template<typename _Scalar, int _Rows, int _Cols, int _StorageOrder, int _MaxRows, int _MaxCols>
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struct ei_eval<Array<_Scalar, _Rows, _Cols, _StorageOrder, _MaxRows, _MaxCols>, Dense>
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{
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typedef const Array<_Scalar, _Rows, _Cols, _StorageOrder, _MaxRows, _MaxCols>& type;
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};
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/* ei_plain_matrix_type_column_major : same as ei_plain_matrix_type but guaranteed to be column-major
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*/
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template<typename T> struct ei_plain_matrix_type_column_major
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{
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typedef Matrix<typename ei_traits<T>::Scalar,
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ei_traits<T>::RowsAtCompileTime,
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ei_traits<T>::ColsAtCompileTime,
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AutoAlign | ColMajor,
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ei_traits<T>::MaxRowsAtCompileTime,
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ei_traits<T>::MaxColsAtCompileTime
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> type;
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};
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/* ei_plain_matrix_type_row_major : same as ei_plain_matrix_type but guaranteed to be row-major
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*/
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template<typename T> struct ei_plain_matrix_type_row_major
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{
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typedef Matrix<typename ei_traits<T>::Scalar,
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ei_traits<T>::RowsAtCompileTime,
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ei_traits<T>::ColsAtCompileTime,
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AutoAlign | RowMajor,
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ei_traits<T>::MaxRowsAtCompileTime,
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ei_traits<T>::MaxColsAtCompileTime
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> type;
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};
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template<typename T> struct ei_must_nest_by_value { enum { ret = false }; };
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template<typename T> struct ei_must_nest_by_value<NestByValue<T> > { enum { ret = true }; };
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/** \internal Determines how a given expression should be nested into another one.
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* For example, when you do a * (b+c), Eigen will determine how the expression b+c should be
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* nested into the bigger product expression. The choice is between nesting the expression b+c as-is, or
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* evaluating that expression b+c into a temporary variable d, and nest d so that the resulting expression is
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* a*d. Evaluating can be beneficial for example if every coefficient access in the resulting expression causes
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* many coefficient accesses in the nested expressions -- as is the case with matrix product for example.
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*
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* \param T the type of the expression being nested
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* \param n the number of coefficient accesses in the nested expression for each coefficient access in the bigger expression.
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*
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* Example. Suppose that a, b, and c are of type Matrix3d. The user forms the expression a*(b+c).
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* b+c is an expression "sum of matrices", which we will denote by S. In order to determine how to nest it,
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* the Product expression uses: ei_nested<S, 3>::ret, which turns out to be Matrix3d because the internal logic of
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* ei_nested determined that in this case it was better to evaluate the expression b+c into a temporary. On the other hand,
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* since a is of type Matrix3d, the Product expression nests it as ei_nested<Matrix3d, 3>::ret, which turns out to be
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* const Matrix3d&, because the internal logic of ei_nested determined that since a was already a matrix, there was no point
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* in copying it into another matrix.
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*/
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template<typename T, int n=1, typename PlainMatrixType = typename ei_eval<T>::type> struct ei_nested
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{
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enum {
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CostEval = (n+1) * int(NumTraits<typename ei_traits<T>::Scalar>::ReadCost),
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CostNoEval = (n-1) * int(ei_traits<T>::CoeffReadCost)
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};
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typedef typename ei_meta_if<
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ei_must_nest_by_value<T>::ret,
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T,
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typename ei_meta_if<
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(int(ei_traits<T>::Flags) & EvalBeforeNestingBit)
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|| ( int(CostEval) <= int(CostNoEval) ),
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PlainMatrixType,
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const T&
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>::ret
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>::ret type;
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};
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template<unsigned int Flags> struct ei_are_flags_consistent
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{
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enum { ret = !( (Flags&UnitDiagBit && Flags&ZeroDiagBit) )
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};
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};
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/** \internal Helper base class to add a scalar multiple operator
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* overloads for complex types */
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template<typename Derived,typename Scalar,typename OtherScalar,
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bool EnableIt = !ei_is_same_type<Scalar,OtherScalar>::ret >
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struct ei_special_scalar_op_base : public AnyMatrixBase<Derived>
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{
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// dummy operator* so that the
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// "using ei_special_scalar_op_base::operator*" compiles
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void operator*() const;
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};
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template<typename Derived,typename Scalar,typename OtherScalar>
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struct ei_special_scalar_op_base<Derived,Scalar,OtherScalar,true> : public AnyMatrixBase<Derived>
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{
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const CwiseUnaryOp<ei_scalar_multiple2_op<Scalar,OtherScalar>, Derived>
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operator*(const OtherScalar& scalar) const
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{
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return CwiseUnaryOp<ei_scalar_multiple2_op<Scalar,OtherScalar>, Derived>
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(*static_cast<const Derived*>(this), ei_scalar_multiple2_op<Scalar,OtherScalar>(scalar));
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}
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inline friend const CwiseUnaryOp<ei_scalar_multiple2_op<Scalar,OtherScalar>, Derived>
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operator*(const OtherScalar& scalar, const Derived& matrix)
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{ return static_cast<const ei_special_scalar_op_base&>(matrix).operator*(scalar); }
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};
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/** \internal Gives the type of a sub-matrix or sub-vector of a matrix of type \a ExpressionType and size \a Size
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* TODO: could be a good idea to define a big ReturnType struct ??
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*/
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template<typename ExpressionType, int RowsOrSize=Dynamic, int Cols=Dynamic> struct BlockReturnType {
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typedef Block<ExpressionType, RowsOrSize, Cols> Type;
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};
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template<typename ExpressionType> struct HNormalizedReturnType {
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enum {
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SizeAtCompileTime = ExpressionType::SizeAtCompileTime,
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SizeMinusOne = SizeAtCompileTime==Dynamic ? Dynamic : SizeAtCompileTime-1
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};
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typedef Block<ExpressionType,
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ei_traits<ExpressionType>::ColsAtCompileTime==1 ? SizeMinusOne : 1,
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ei_traits<ExpressionType>::ColsAtCompileTime==1 ? 1 : SizeMinusOne> StartMinusOne;
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typedef CwiseUnaryOp<ei_scalar_quotient1_op<typename ei_traits<ExpressionType>::Scalar>,
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NestByValue<StartMinusOne> > Type;
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};
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template<typename XprType, typename CastType> struct ei_cast_return_type
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{
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typedef typename XprType::Scalar CurrentScalarType;
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typedef typename ei_cleantype<CastType>::type _CastType;
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typedef typename _CastType::Scalar NewScalarType;
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typedef typename ei_meta_if<ei_is_same_type<CurrentScalarType,NewScalarType>::ret,
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const XprType&,CastType>::ret type;
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};
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template <typename A, typename B> struct ei_promote_storage_type;
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template <typename A> struct ei_promote_storage_type<A,A>
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{
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typedef A ret;
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};
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#endif // EIGEN_XPRHELPER_H
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