1c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// This file is part of Eigen, a lightweight C++ template library
2c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// for linear algebra.
3c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath//
4c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// Copyright (C) 2006-2008 Benoit Jacob <jacob.benoit.1@gmail.com>
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#define EIGEN_NO_STATIC_ASSERT
11c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath#include "main.h"
12c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
13c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathtemplate<typename Scalar> void smallVectors()
14c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath{
15c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  typedef Matrix<Scalar, 1, 2> V2;
16c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  typedef Matrix<Scalar, 3, 1> V3;
17c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  typedef Matrix<Scalar, 1, 4> V4;
18c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  typedef Matrix<Scalar, Dynamic, 1> VX;
19c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  Scalar x1 = internal::random<Scalar>(),
20c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath         x2 = internal::random<Scalar>(),
21c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath         x3 = internal::random<Scalar>(),
22c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath         x4 = internal::random<Scalar>();
23c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  V2 v2(x1, x2);
24c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  V3 v3(x1, x2, x3);
25c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  V4 v4(x1, x2, x3, x4);
26c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  VERIFY_IS_APPROX(x1, v2.x());
27c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  VERIFY_IS_APPROX(x1, v3.x());
28c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  VERIFY_IS_APPROX(x1, v4.x());
29c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  VERIFY_IS_APPROX(x2, v2.y());
30c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  VERIFY_IS_APPROX(x2, v3.y());
31c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  VERIFY_IS_APPROX(x2, v4.y());
32c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  VERIFY_IS_APPROX(x3, v3.z());
33c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  VERIFY_IS_APPROX(x3, v4.z());
34c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  VERIFY_IS_APPROX(x4, v4.w());
35c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
36c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  if (!NumTraits<Scalar>::IsInteger)
37c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  {
38c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    VERIFY_RAISES_ASSERT(V3(2, 1))
39c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    VERIFY_RAISES_ASSERT(V3(3, 2))
40c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    VERIFY_RAISES_ASSERT(V3(Scalar(3), 1))
41c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    VERIFY_RAISES_ASSERT(V3(3, Scalar(1)))
42c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    VERIFY_RAISES_ASSERT(V3(Scalar(3), Scalar(1)))
43c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    VERIFY_RAISES_ASSERT(V3(Scalar(123), Scalar(123)))
44c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
45c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    VERIFY_RAISES_ASSERT(V4(1, 3))
46c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    VERIFY_RAISES_ASSERT(V4(2, 4))
47c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    VERIFY_RAISES_ASSERT(V4(1, Scalar(4)))
48c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    VERIFY_RAISES_ASSERT(V4(Scalar(1), 4))
49c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    VERIFY_RAISES_ASSERT(V4(Scalar(1), Scalar(4)))
50c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    VERIFY_RAISES_ASSERT(V4(Scalar(123), Scalar(123)))
51c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
52c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    VERIFY_RAISES_ASSERT(VX(3, 2))
53c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    VERIFY_RAISES_ASSERT(VX(Scalar(3), 1))
54c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    VERIFY_RAISES_ASSERT(VX(3, Scalar(1)))
55c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    VERIFY_RAISES_ASSERT(VX(Scalar(3), Scalar(1)))
56c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    VERIFY_RAISES_ASSERT(VX(Scalar(123), Scalar(123)))
57c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  }
58c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath}
59c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
60c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathvoid test_smallvectors()
61c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath{
62c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  for(int i = 0; i < g_repeat; i++) {
63c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    CALL_SUBTEST(smallVectors<int>() );
64c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    CALL_SUBTEST(smallVectors<float>() );
65c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    CALL_SUBTEST(smallVectors<double>() );
66c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  }
67c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath}
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