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move Core/ to a src/ subdir, in preparation for following changes
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227
Eigen/src/Core/Matrix.h
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227
Eigen/src/Core/Matrix.h
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// 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_MATRIX_H
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#define EIGEN_MATRIX_H
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template<typename _Scalar, int _Rows, int _Cols,
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MatrixStorageOrder _StorageOrder = EIGEN_DEFAULT_MATRIX_STORAGE_ORDER>
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class Matrix : public MatrixBase<_Scalar, Matrix<_Scalar, _Rows, _Cols, _StorageOrder> >,
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public MatrixStorage<_Scalar, _Rows, _Cols>
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{
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public:
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friend class MatrixBase<_Scalar, Matrix>;
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typedef MatrixBase<_Scalar, Matrix> Base;
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typedef MatrixStorage<_Scalar, _Rows, _Cols> Storage;
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typedef _Scalar Scalar;
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typedef MatrixRef<Matrix> Ref;
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friend class MatrixRef<Matrix>;
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const Scalar* data() const
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{ return Storage::m_data; }
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Scalar* data()
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{ return Storage::m_data; }
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static const MatrixStorageOrder StorageOrder = _StorageOrder;
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private:
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static const int _RowsAtCompileTime = _Rows, _ColsAtCompileTime = _Cols;
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Ref _ref() const { return Ref(*this); }
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const Scalar& _coeff(int row, int col) const
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{
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if(_StorageOrder == ColumnDominant)
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return (Storage::m_data)[row + col * Storage::_rows()];
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else // RowDominant
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return (Storage::m_data)[col + row * Storage::_cols()];
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}
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Scalar& _coeffRef(int row, int col)
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{
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if(_StorageOrder == ColumnDominant)
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return (Storage::m_data)[row + col * Storage::_rows()];
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else // RowDominant
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return (Storage::m_data)[col + row * Storage::_cols()];
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}
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public:
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template<typename OtherDerived>
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Matrix& operator=(const MatrixBase<Scalar, OtherDerived>& other)
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{
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if(_RowsAtCompileTime == 1)
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{
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assert(other.isVector());
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resize(1, other.size());
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}
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else if(_ColsAtCompileTime == 1)
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{
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assert(other.isVector());
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resize(other.size(), 1);
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}
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else resize(other.rows(), other.cols());
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return Base::operator=(other);
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}
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Matrix& operator=(const Matrix& other)
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{
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return operator=<Matrix>(other);
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}
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EIGEN_INHERIT_ASSIGNMENT_OPERATOR(Matrix, +=)
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EIGEN_INHERIT_ASSIGNMENT_OPERATOR(Matrix, -=)
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EIGEN_INHERIT_SCALAR_ASSIGNMENT_OPERATOR(Matrix, *=)
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EIGEN_INHERIT_SCALAR_ASSIGNMENT_OPERATOR(Matrix, /=)
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static const Map<Matrix> map(const Scalar* array, int rows, int cols);
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static const Map<Matrix> map(const Scalar* array, int size);
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static const Map<Matrix> map(const Scalar* array);
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static Map<Matrix> map(Scalar* array, int rows, int cols);
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static Map<Matrix> map(Scalar* array, int size);
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static Map<Matrix> map(Scalar* array);
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explicit Matrix() : Storage()
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{
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assert(_RowsAtCompileTime > 0 && _ColsAtCompileTime > 0);
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}
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explicit Matrix(int dim) : Storage(dim)
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{
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assert(dim > 0);
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assert((_RowsAtCompileTime == 1
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&& (_ColsAtCompileTime == Dynamic || _ColsAtCompileTime == dim))
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|| (_ColsAtCompileTime == 1
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&& (_RowsAtCompileTime == Dynamic || _RowsAtCompileTime == dim)));
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}
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// this constructor is very tricky.
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// When Matrix is a fixed-size vector type of size 2,
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// Matrix(x,y) should mean "construct vector with coefficients x,y".
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// Otherwise, Matrix(x,y) should mean "construct matrix with x rows and y cols".
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// Note that in the case of fixed-size, Storage::Storage(int,int) does nothing,
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// so it is harmless to call it and afterwards we just fill the m_data array
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// with the two coefficients. In the case of dynamic size, Storage::Storage(int,int)
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// does what we want to, so it only remains to add some asserts.
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Matrix(int x, int y) : Storage(x, y)
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{
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if((_RowsAtCompileTime == 1 && _ColsAtCompileTime == 2)
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|| (_RowsAtCompileTime == 2 && _ColsAtCompileTime == 1))
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{
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(Storage::m_data)[0] = x;
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(Storage::m_data)[1] = y;
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}
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else
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{
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assert(x > 0 && (_RowsAtCompileTime == Dynamic || _RowsAtCompileTime == x)
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&& y > 0 && (_ColsAtCompileTime == Dynamic || _ColsAtCompileTime == y));
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}
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}
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Matrix(const float& x, const float& y)
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{
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assert((_RowsAtCompileTime == 1 && _ColsAtCompileTime == 2)
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|| (_RowsAtCompileTime == 2 && _ColsAtCompileTime == 1));
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(Storage::m_data)[0] = x;
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(Storage::m_data)[1] = y;
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}
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Matrix(const double& x, const double& y)
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{
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assert((_RowsAtCompileTime == 1 && _ColsAtCompileTime == 2)
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|| (_RowsAtCompileTime == 2 && _ColsAtCompileTime == 1));
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(Storage::m_data)[0] = x;
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(Storage::m_data)[1] = y;
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}
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Matrix(const Scalar& x, const Scalar& y, const Scalar& z)
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{
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assert((_RowsAtCompileTime == 1 && _ColsAtCompileTime == 3)
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|| (_RowsAtCompileTime == 3 && _ColsAtCompileTime == 1));
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(Storage::m_data)[0] = x;
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(Storage::m_data)[1] = y;
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(Storage::m_data)[2] = z;
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}
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Matrix(const Scalar& x, const Scalar& y, const Scalar& z, const Scalar& w)
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{
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assert((_RowsAtCompileTime == 1 && _ColsAtCompileTime == 4)
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|| (_RowsAtCompileTime == 4 && _ColsAtCompileTime == 1));
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(Storage::m_data)[0] = x;
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(Storage::m_data)[1] = y;
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(Storage::m_data)[2] = z;
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(Storage::m_data)[3] = w;
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}
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Matrix(const Scalar *data, int rows, int cols);
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Matrix(const Scalar *data, int size);
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explicit Matrix(const Scalar *data);
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template<typename OtherDerived>
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Matrix(const MatrixBase<Scalar, OtherDerived>& other)
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: Storage(other.rows(), other.cols())
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{
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*this = other;
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}
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Matrix(const Matrix& other) : Storage(other.rows(), other.cols())
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{
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*this = other;
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}
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~Matrix() {}
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};
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#define EIGEN_MAKE_TYPEDEFS(Type, TypeSuffix, Size, SizeSuffix) \
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typedef Matrix<Type, Size, Size> Matrix##SizeSuffix##TypeSuffix; \
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typedef Matrix<Type, Size, 1> Vector##SizeSuffix##TypeSuffix; \
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typedef Matrix<Type, 1, Size> RowVector##SizeSuffix##TypeSuffix;
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#define EIGEN_MAKE_TYPEDEFS_ALL_SIZES(Type, TypeSuffix) \
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EIGEN_MAKE_TYPEDEFS(Type, TypeSuffix, 2, 2) \
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EIGEN_MAKE_TYPEDEFS(Type, TypeSuffix, 3, 3) \
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EIGEN_MAKE_TYPEDEFS(Type, TypeSuffix, 4, 4) \
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EIGEN_MAKE_TYPEDEFS(Type, TypeSuffix, Dynamic, X)
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EIGEN_MAKE_TYPEDEFS_ALL_SIZES(int, i)
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EIGEN_MAKE_TYPEDEFS_ALL_SIZES(float, f)
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EIGEN_MAKE_TYPEDEFS_ALL_SIZES(double, d)
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EIGEN_MAKE_TYPEDEFS_ALL_SIZES(std::complex<float>, cf)
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EIGEN_MAKE_TYPEDEFS_ALL_SIZES(std::complex<double>, cd)
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#undef EIGEN_MAKE_TYPEDEFS_ALL_SIZES
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#undef EIGEN_MAKE_TYPEDEFS
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#define EIGEN_USING_MATRIX_TYPEDEFS_FOR_TYPE_AND_SIZE(TypeSuffix, SizeSuffix) \
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using Eigen::Matrix##SizeSuffix##TypeSuffix; \
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using Eigen::Vector##SizeSuffix##TypeSuffix; \
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using Eigen::RowVector##SizeSuffix##TypeSuffix;
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#define EIGEN_USING_MATRIX_TYPEDEFS_FOR_TYPE(TypeSuffix) \
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EIGEN_USING_MATRIX_TYPEDEFS_FOR_TYPE_AND_SIZE(TypeSuffix, 2) \
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EIGEN_USING_MATRIX_TYPEDEFS_FOR_TYPE_AND_SIZE(TypeSuffix, 3) \
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EIGEN_USING_MATRIX_TYPEDEFS_FOR_TYPE_AND_SIZE(TypeSuffix, 4) \
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EIGEN_USING_MATRIX_TYPEDEFS_FOR_TYPE_AND_SIZE(TypeSuffix, X)
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#define EIGEN_USING_MATRIX_TYPEDEFS \
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EIGEN_USING_MATRIX_TYPEDEFS_FOR_TYPE(i) \
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EIGEN_USING_MATRIX_TYPEDEFS_FOR_TYPE(f) \
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EIGEN_USING_MATRIX_TYPEDEFS_FOR_TYPE(d) \
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EIGEN_USING_MATRIX_TYPEDEFS_FOR_TYPE(cf) \
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EIGEN_USING_MATRIX_TYPEDEFS_FOR_TYPE(cd)
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#endif // EIGEN_MATRIX_H
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