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// This file is part of Eigen, a lightweight C++ template library
// for linear algebra. Eigen itself is part of the KDE project.
//
// Copyright (C) 2006-2008 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"
namespace Eigen {
template<typename MatrixType> void miscMatrices(const MatrixType& m)
{
/* this test covers the following files:
DiagonalMatrix.h Ones.h
*/
typedef typename MatrixType::Scalar Scalar;
typedef Matrix<Scalar, MatrixType::Traits::RowsAtCompileTime, 1> VectorType;
typedef Matrix<Scalar, 1, MatrixType::Traits::ColsAtCompileTime> RowVectorType;
int rows = m.rows();
int cols = m.cols();
int r = random<int>(0, rows-1), r2 = random<int>(0, rows-1), c = random<int>(0, cols-1);
VERIFY_IS_APPROX(MatrixType::ones(rows,cols)(r,c), static_cast<Scalar>(1));
MatrixType m1 = MatrixType::ones(rows,cols);
VERIFY_IS_APPROX(m1(r,c), static_cast<Scalar>(1));
VectorType v1 = VectorType::random(rows);
v1[0];
Matrix<Scalar, MatrixType::Traits::RowsAtCompileTime, MatrixType::Traits::RowsAtCompileTime>
square = v1.asDiagonal();
if(r==r2) VERIFY_IS_APPROX(square(r,r2), v1[r]);
else VERIFY_IS_MUCH_SMALLER_THAN(square(r,r2), static_cast<Scalar>(1));
square = MatrixType::zero(rows, rows);
square.diagonal() = VectorType::ones(rows);
VERIFY_IS_APPROX(square, MatrixType::identity(rows));
}
void EigenTest::testMiscMatrices()
{
for(int i = 0; i < m_repeat; i++) {
miscMatrices(Matrix<float, 1, 1>());
miscMatrices(Matrix4d());
miscMatrices(MatrixXcf(3, 3));
miscMatrices(MatrixXi(8, 12));
miscMatrices(MatrixXcd(20, 20));
}
}
} // namespace Eigen
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