eigen/test/vectorops.cpp
2007-09-07 07:56:22 +00:00

65 lines
2.0 KiB
C++

// This file is part of Eigen, a lightweight C++ template library
// for linear algebra. Eigen itself is part of the KDE project.
//
// Copyright (C) 2006-2007 Benoit Jacob <jacob@math.jussieu.fr>
//
// Eigen is free software; 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 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 General Public License for more
// details.
//
// You should have received a copy of the GNU General Public License along
// with Eigen; if not, write to the Free Software Foundation, Inc., 51
// Franklin St, Fifth Floor, Boston, MA 02110-1301 USA.
//
// As a special exception, if other files instantiate templates or use macros
// or functions from this file, or you compile this file and link it
// with other works to produce a work based on this file, this file does not
// by itself cause the resulting work to be covered by the GNU General Public
// License. This exception does not invalidate any other reasons why a work
// based on this file might be covered by the GNU General Public License.
#include"main.h"
template<typename VectorType> void vectorOps(const VectorType& v)
{
typedef typename VectorType::Scalar Scalar;
int size = v.size();
VectorType a(size), b(size), c(b);
Scalar s;
a * s;
s * a;
a + b;
a - b;
(a + b) * s;
s * (a + b);
a + b + c;
a = b;
a = b + c;
a = s * (b - c);
a.alias() = a + b;
a += b;
a += b + b;
a.xpr() -= b;
a.xpr() -= b + b;
a.alias() += a + a;
}
void EigenTest::testVectorOps()
{
vectorOps(Vector<float, 1>());
vectorOps(Vector<int, 2>());
vectorOps(Vector<double, 3>());
vectorOps(Vector<complex<float>, 4>());
vectorOps(VectorX<float>(1));
vectorOps(VectorX<int>(2));
vectorOps(VectorX<double>(3));
vectorOps(VectorX<complex<float> >(4));
}