eigen/test/miscmatrices.cpp
Gael Guennebaud 522e24f2d7 update of the testing framework:
replaced the QTestLib framework my custom macros
and a (optional) custom script to run the tests from ctest.
2008-05-22 12:18:55 +00:00

64 lines
2.6 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) 2006-2008 Benoit Jacob <jacob@math.jussieu.fr>
//
// Eigen is free software; you can redistribute it and/or
// modify it under the terms of the GNU Lesser General Public
// License as published by the Free Software Foundation; either
// version 3 of the License, or (at your option) any later version.
//
// Alternatively, 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 of
// the License, 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 Lesser General Public License or the
// GNU General Public License for more details.
//
// You should have received a copy of the GNU Lesser General Public
// License and a copy of the GNU General Public License along with
// Eigen. If not, see <http://www.gnu.org/licenses/>.
#include "main.h"
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::RowsAtCompileTime, 1> VectorType;
typedef Matrix<Scalar, 1, MatrixType::ColsAtCompileTime> RowVectorType;
int rows = m.rows();
int cols = m.cols();
int r = ei_random<int>(0, rows-1), r2 = ei_random<int>(0, rows-1), c = ei_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::RowsAtCompileTime, MatrixType::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, rows));
}
void test_miscmatrices()
{
for(int i = 0; i < g_repeat; i++) {
CALL_SUBTEST( miscMatrices(Matrix<float, 1, 1>()) );
CALL_SUBTEST( miscMatrices(Matrix4d()) );
CALL_SUBTEST( miscMatrices(MatrixXcf(3, 3)) );
CALL_SUBTEST( miscMatrices(MatrixXi(8, 12)) );
CALL_SUBTEST( miscMatrices(MatrixXcd(20, 20)) );
}
}