diff options
author | Gael Guennebaud <g.gael@free.fr> | 2009-12-16 17:37:21 +0100 |
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committer | Gael Guennebaud <g.gael@free.fr> | 2009-12-16 17:37:21 +0100 |
commit | 22a6ab1f4b473a97b1d9bf27eb91788f35d9ac40 (patch) | |
tree | 61184cea9d0ff4b38823f631417ad63f1599a694 /test/eigen2support.cpp | |
parent | 7a9988ebb6e87da84134901c568c00a5cb561809 (diff) |
add an eigen2support test and a few fixes
Diffstat (limited to 'test/eigen2support.cpp')
-rw-r--r-- | test/eigen2support.cpp | 68 |
1 files changed, 68 insertions, 0 deletions
diff --git a/test/eigen2support.cpp b/test/eigen2support.cpp new file mode 100644 index 000000000..de39be5c8 --- /dev/null +++ b/test/eigen2support.cpp @@ -0,0 +1,68 @@ +// This file is part of Eigen, a lightweight C++ template library +// for linear algebra. +// +// Copyright (C) 2009 Gael Guennebaud <g.gael@free.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/>. + +#define EIGEN2_SUPPORT + +#include "main.h" + +template<typename MatrixType> void eigen2support(const MatrixType& m) +{ + typedef typename MatrixType::Scalar Scalar; + + int rows = m.rows(); + int cols = m.cols(); + + MatrixType m1 = MatrixType::Random(rows, cols), + m2 = MatrixType::Random(rows, cols), + m3(rows, cols); + + Scalar s1 = ei_random<Scalar>(), + s2 = ei_random<Scalar>(); + + // scalar addition + VERIFY_IS_APPROX(m1.cwise() + s1, s1 + m1.cwise()); + VERIFY_IS_APPROX(m1.cwise() + s1, MatrixType::Constant(rows,cols,s1) + m1); + VERIFY_IS_APPROX((m1*Scalar(2)).cwise() - s2, (m1+m1) - MatrixType::Constant(rows,cols,s2) ); + m3 = m1; + m3.cwise() += s2; + VERIFY_IS_APPROX(m3, m1.cwise() + s2); + m3 = m1; + m3.cwise() -= s1; + VERIFY_IS_APPROX(m3, m1.cwise() - s1); + + + +} + +void test_eigen2support() +{ + for(int i = 0; i < g_repeat; i++) { + CALL_SUBTEST_1( eigen2support(Matrix<double,1,1>()) ); + CALL_SUBTEST_2( eigen2support(MatrixXd(1,1)) ); + CALL_SUBTEST_4( eigen2support(Matrix3f()) ); + CALL_SUBTEST_5( eigen2support(Matrix4d()) ); + CALL_SUBTEST_2( eigen2support(MatrixXf(200,200)) ); + CALL_SUBTEST_6( eigen2support(MatrixXcd(100,100)) ); + } +} |