mirror of
https://gitlab.com/libeigen/eigen.git
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3036eeca0a
release of tvmet (inactive for 2 years and developer unreachable) as the basis for eigen2, because it provides seemingly good expression template mechanisms, we want that, and it would take years to reinvent that wheel. We'll see. So this commit imports the last tvmet release.
218 lines
6.5 KiB
C++
218 lines
6.5 KiB
C++
/*
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* Tiny Vector Matrix Library
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* Dense Vector Matrix Libary of Tiny size using Expression Templates
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*
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* Copyright (C) 2001 - 2003 Olaf Petzold <opetzold@users.sourceforge.net>
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*
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* This library 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 2.1 of the License, or (at your option) any later version.
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*
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* This library is distributed in the hope that it will be useful,
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* but WITHOUT ANY WARRANTY; without even the implied warranty of
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* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
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* lesser 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 along with this library; if not, write to the Free Software
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* Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
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*
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* $Id: MatrixImpl.h,v 1.27 2004/06/10 16:36:55 opetzold Exp $
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*/
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#ifndef TVMET_MATRIX_IMPL_H
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#define TVMET_MATRIX_IMPL_H
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#include <iomanip> // setw
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#include <tvmet/Functional.h>
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#include <tvmet/Io.h>
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namespace tvmet {
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/*
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* member operators for i/o
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*/
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template<class T, std::size_t NRows, std::size_t NCols>
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std::ostream& Matrix<T, NRows, NCols>::print_xpr(std::ostream& os, std::size_t l) const
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{
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os << IndentLevel(l++) << "Matrix[" << ops << "]<"
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<< typeid(T).name() << ", " << Rows << ", " << Cols << ">,"
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<< IndentLevel(--l)
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<< std::endl;
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return os;
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}
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template<class T, std::size_t NRows, std::size_t NCols>
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std::ostream& Matrix<T, NRows, NCols>::print_on(std::ostream& os) const
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{
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enum {
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complex_type = NumericTraits<value_type>::is_complex
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};
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std::streamsize w = IoPrintHelper<Matrix>::width(dispatch<complex_type>(), *this);
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os << std::setw(0) << "[\n";
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for(std::size_t i = 0; i < Rows; ++i) {
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os << " [";
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for(std::size_t j = 0; j < (Cols - 1); ++j) {
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os << std::setw(w) << this->operator()(i, j) << ", ";
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}
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os << std::setw(w) << this->operator()(i, Cols - 1)
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<< (i != (Rows-1) ? "],\n" : "]\n");
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}
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os << "]";
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return os;
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}
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/*
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* member operators with scalars, per se element wise
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*/
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#define TVMET_IMPLEMENT_MACRO(NAME, OP) \
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template<class T, std::size_t NRows, std::size_t NCols> \
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inline \
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Matrix<T, NRows, NCols>& \
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Matrix<T, NRows, NCols>::operator OP (value_type rhs) { \
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typedef XprLiteral<value_type> expr_type; \
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this->M_##NAME(XprMatrix<expr_type, Rows, Cols>(expr_type(rhs))); \
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return *this; \
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}
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TVMET_IMPLEMENT_MACRO(add_eq, +=)
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TVMET_IMPLEMENT_MACRO(sub_eq, -=)
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TVMET_IMPLEMENT_MACRO(mul_eq, *=)
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TVMET_IMPLEMENT_MACRO(div_eq, /=)
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#undef TVMET_IMPLEMENT_MACRO
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#define TVMET_IMPLEMENT_MACRO(NAME, OP) \
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template<class T, std::size_t NRows, std::size_t NCols> \
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inline \
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Matrix<T, NRows, NCols>& \
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Matrix<T, NRows, NCols>::operator OP (std::size_t rhs) { \
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typedef XprLiteral<value_type> expr_type; \
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this->M_##NAME(XprMatrix<expr_type, Rows, Cols>(expr_type(rhs))); \
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return *this; \
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}
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TVMET_IMPLEMENT_MACRO(mod_eq, %=)
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TVMET_IMPLEMENT_MACRO(xor_eq,^=)
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TVMET_IMPLEMENT_MACRO(and_eq, &=)
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TVMET_IMPLEMENT_MACRO(or_eq, |=)
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TVMET_IMPLEMENT_MACRO(shl_eq, <<=)
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TVMET_IMPLEMENT_MACRO(shr_eq, >>=)
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#undef TVMET_IMPLEMENT_MACRO
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/*
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* member functions (operators) with matrizes, for use with +=,-= ... <<=
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*/
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#define TVMET_IMPLEMENT_MACRO(NAME) \
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template<class T1, std::size_t NRows, std::size_t NCols> \
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template <class T2> \
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inline \
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Matrix<T1, NRows, NCols>& \
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Matrix<T1, NRows, NCols>::M_##NAME (const Matrix<T2, Rows, Cols>& rhs) { \
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this->M_##NAME( XprMatrix<typename Matrix<T2, Rows, Cols>::ConstReference, Rows, Cols>(rhs.const_ref()) ); \
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return *this; \
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}
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TVMET_IMPLEMENT_MACRO(add_eq)
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TVMET_IMPLEMENT_MACRO(sub_eq)
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TVMET_IMPLEMENT_MACRO(mul_eq)
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TVMET_IMPLEMENT_MACRO(div_eq)
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TVMET_IMPLEMENT_MACRO(mod_eq)
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TVMET_IMPLEMENT_MACRO(xor_eq)
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TVMET_IMPLEMENT_MACRO(and_eq)
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TVMET_IMPLEMENT_MACRO(or_eq)
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TVMET_IMPLEMENT_MACRO(shl_eq)
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TVMET_IMPLEMENT_MACRO(shr_eq)
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#undef TVMET_IMPLEMENT_MACRO
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/*
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* member functions (operators) with expressions, for use width +=,-= ... <<=
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*/
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#define TVMET_IMPLEMENT_MACRO(NAME) \
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template<class T, std::size_t NRows, std::size_t NCols> \
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template<class E> \
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inline \
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Matrix<T, NRows, NCols>& \
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Matrix<T, NRows, NCols>::M_##NAME (const XprMatrix<E, Rows, Cols>& rhs) { \
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rhs.assign_to(*this, Fcnl_##NAME<value_type, typename E::value_type>()); \
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return *this; \
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}
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TVMET_IMPLEMENT_MACRO(add_eq)
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TVMET_IMPLEMENT_MACRO(sub_eq)
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TVMET_IMPLEMENT_MACRO(mul_eq)
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TVMET_IMPLEMENT_MACRO(div_eq)
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TVMET_IMPLEMENT_MACRO(mod_eq)
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TVMET_IMPLEMENT_MACRO(xor_eq)
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TVMET_IMPLEMENT_MACRO(and_eq)
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TVMET_IMPLEMENT_MACRO(or_eq)
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TVMET_IMPLEMENT_MACRO(shl_eq)
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TVMET_IMPLEMENT_MACRO(shr_eq)
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#undef TVMET_IMPLEMENT_MACRO
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/*
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* aliased member functions (operators) with matrizes,
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* for use with +=,-= ... <<=
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*/
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#define TVMET_IMPLEMENT_MACRO(NAME) \
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template<class T1, std::size_t NRows, std::size_t NCols> \
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template <class T2> \
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inline \
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Matrix<T1, NRows, NCols>& \
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Matrix<T1, NRows, NCols>::alias_##NAME (const Matrix<T2, Rows, Cols>& rhs) { \
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this->alias_##NAME( XprMatrix<typename Matrix<T2, Rows, Cols>::ConstReference, Rows, Cols>(rhs.const_ref()) ); \
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return *this; \
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}
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TVMET_IMPLEMENT_MACRO(assign)
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TVMET_IMPLEMENT_MACRO(add_eq)
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TVMET_IMPLEMENT_MACRO(sub_eq)
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TVMET_IMPLEMENT_MACRO(mul_eq)
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TVMET_IMPLEMENT_MACRO(div_eq)
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#undef TVMET_IMPLEMENT_MACRO
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/*
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* aliased member functions (operators) with expressions,
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* for use width +=,-= ... <<= and aliased(),
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*/
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#define TVMET_IMPLEMENT_MACRO(NAME) \
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template<class T, std::size_t NRows, std::size_t NCols> \
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template<class E> \
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inline \
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Matrix<T, NRows, NCols>& \
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Matrix<T, NRows, NCols>::alias_##NAME (const XprMatrix<E, Rows, Cols>& rhs) { \
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typedef Matrix<T, NRows, NCols> temp_type; \
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temp_type(rhs).assign_to(*this, Fcnl_##NAME<value_type, typename E::value_type>()); \
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return *this; \
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}
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TVMET_IMPLEMENT_MACRO(assign)
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TVMET_IMPLEMENT_MACRO(add_eq)
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TVMET_IMPLEMENT_MACRO(sub_eq)
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TVMET_IMPLEMENT_MACRO(mul_eq)
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TVMET_IMPLEMENT_MACRO(div_eq)
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#undef TVMET_IMPLEMENT_MACRO
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} // namespace tvmet
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#endif // TVMET_MATRIX_IMPL_H
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// Local Variables:
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// mode:C++
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// End:
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