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}
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