| // This file is part of Eigen, a lightweight C++ template library | |
| // for linear algebra. | |
| // | |
| // Copyright (C) 2013 Gael Guennebaud <gael.guennebaud@inria.fr> | |
| // | |
| // This Source Code Form is subject to the terms of the Mozilla | |
| // Public License v. 2.0. If a copy of the MPL was not distributed | |
| // with this file, You can obtain one at http://mozilla.org/MPL/2.0/. | |
| #include "main.h" | |
| template<typename Scalar> void special_numbers() | |
| { | |
| typedef Matrix<Scalar, Dynamic,Dynamic> MatType; | |
| int rows = internal::random<int>(1,300); | |
| int cols = internal::random<int>(1,300); | |
| Scalar nan = std::numeric_limits<Scalar>::quiet_NaN(); | |
| Scalar inf = std::numeric_limits<Scalar>::infinity(); | |
| Scalar s1 = internal::random<Scalar>(); | |
| MatType m1 = MatType::Random(rows,cols), | |
| mnan = MatType::Random(rows,cols), | |
| minf = MatType::Random(rows,cols), | |
| mboth = MatType::Random(rows,cols); | |
| int n = internal::random<int>(1,10); | |
| for(int k=0; k<n; ++k) | |
| { | |
| mnan(internal::random<int>(0,rows-1), internal::random<int>(0,cols-1)) = nan; | |
| minf(internal::random<int>(0,rows-1), internal::random<int>(0,cols-1)) = inf; | |
| } | |
| mboth = mnan + minf; | |
| VERIFY(!m1.hasNaN()); | |
| VERIFY(m1.allFinite()); | |
| VERIFY(mnan.hasNaN()); | |
| VERIFY((s1*mnan).hasNaN()); | |
| VERIFY(!minf.hasNaN()); | |
| VERIFY(!(2*minf).hasNaN()); | |
| VERIFY(mboth.hasNaN()); | |
| VERIFY(mboth.array().hasNaN()); | |
| VERIFY(!mnan.allFinite()); | |
| VERIFY(!minf.allFinite()); | |
| VERIFY(!(minf-mboth).allFinite()); | |
| VERIFY(!mboth.allFinite()); | |
| VERIFY(!mboth.array().allFinite()); | |
| } | |
| EIGEN_DECLARE_TEST(special_numbers) | |
| { | |
| for(int i = 0; i < 10*g_repeat; i++) { | |
| CALL_SUBTEST_1( special_numbers<float>() ); | |
| CALL_SUBTEST_1( special_numbers<double>() ); | |
| } | |
| } |