1c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// This file is part of Eigen, a lightweight C++ template library 2c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// for linear algebra. Eigen itself is part of the KDE project. 3c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// 4c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// Copyright (C) 2008 Gael Guennebaud <g.gael@free.fr> 5c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// 6c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// This Source Code Form is subject to the terms of the Mozilla 7c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// Public License v. 2.0. If a copy of the MPL was not distributed 8c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// with this file, You can obtain one at http://mozilla.org/MPL/2.0/. 9c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath 10c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath#include "main.h" 11c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath 12c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathvoid test_eigen2_commainitializer() 13c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath{ 14c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath Matrix3d m3; 15c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath Matrix4d m4; 16c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath 17c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath VERIFY_RAISES_ASSERT( (m3 << 1, 2, 3, 4, 5, 6, 7, 8) ); 18c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath 19c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath #ifndef _MSC_VER 20c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath VERIFY_RAISES_ASSERT( (m3 << 1, 2, 3, 4, 5, 6, 7, 8, 9, 10) ); 21c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath #endif 22c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath 23c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath double data[] = {1, 2, 3, 4, 5, 6, 7, 8, 9}; 24c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath Matrix3d ref = Map<Matrix<double,3,3,RowMajor> >(data); 25c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath 26c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath m3 = Matrix3d::Random(); 27c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath m3 << 1, 2, 3, 4, 5, 6, 7, 8, 9; 28c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath VERIFY_IS_APPROX(m3, ref ); 29c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath 30c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath Vector3d vec[3]; 31c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath vec[0] << 1, 4, 7; 32c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath vec[1] << 2, 5, 8; 33c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath vec[2] << 3, 6, 9; 34c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath m3 = Matrix3d::Random(); 35c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath m3 << vec[0], vec[1], vec[2]; 36c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath VERIFY_IS_APPROX(m3, ref); 37c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath 38c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath vec[0] << 1, 2, 3; 39c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath vec[1] << 4, 5, 6; 40c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath vec[2] << 7, 8, 9; 41c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath m3 = Matrix3d::Random(); 42c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath m3 << vec[0].transpose(), 43c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath 4, 5, 6, 44c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath vec[2].transpose(); 45c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath VERIFY_IS_APPROX(m3, ref); 46c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath} 47