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// Copyright (C) 2008 Benoit Jacob <jacob.benoit.1@gmail.com>
6c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath//
7c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// This Source Code Form is subject to the terms of the Mozilla
8c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// Public License v. 2.0. If a copy of the MPL was not distributed
9c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
10c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
11c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath#include "main.h"
12c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath#include <Eigen/Geometry>
13c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath#include <Eigen/LU>
14c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath#include <Eigen/QR>
15c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
16c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathtemplate<typename LineType> void parametrizedline(const LineType& _line)
17c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath{
18c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  /* this test covers the following files:
19c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath     ParametrizedLine.h
20c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  */
21c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
22c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  const int dim = _line.dim();
23c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  typedef typename LineType::Scalar Scalar;
24c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  typedef typename NumTraits<Scalar>::Real RealScalar;
25c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  typedef Matrix<Scalar, LineType::AmbientDimAtCompileTime, 1> VectorType;
26c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  typedef Matrix<Scalar, LineType::AmbientDimAtCompileTime,
27c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath                         LineType::AmbientDimAtCompileTime> MatrixType;
28c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
29c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  VectorType p0 = VectorType::Random(dim);
30c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  VectorType p1 = VectorType::Random(dim);
31c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
32c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  VectorType d0 = VectorType::Random(dim).normalized();
33c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
34c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  LineType l0(p0, d0);
35c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
36c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  Scalar s0 = ei_random<Scalar>();
37c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  Scalar s1 = ei_abs(ei_random<Scalar>());
38c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
39c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  VERIFY_IS_MUCH_SMALLER_THAN( l0.distance(p0), RealScalar(1) );
40c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  VERIFY_IS_MUCH_SMALLER_THAN( l0.distance(p0+s0*d0), RealScalar(1) );
41c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  VERIFY_IS_APPROX( (l0.projection(p1)-p1).norm(), l0.distance(p1) );
42c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  VERIFY_IS_MUCH_SMALLER_THAN( l0.distance(l0.projection(p1)), RealScalar(1) );
43c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  VERIFY_IS_APPROX( Scalar(l0.distance((p0+s0*d0) + d0.unitOrthogonal() * s1)), s1 );
44c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
45c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  // casting
46c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  const int Dim = LineType::AmbientDimAtCompileTime;
47c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  typedef typename GetDifferentType<Scalar>::type OtherScalar;
48c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  ParametrizedLine<OtherScalar,Dim> hp1f = l0.template cast<OtherScalar>();
49c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  VERIFY_IS_APPROX(hp1f.template cast<Scalar>(),l0);
50c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  ParametrizedLine<Scalar,Dim> hp1d = l0.template cast<Scalar>();
51c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  VERIFY_IS_APPROX(hp1d.template cast<Scalar>(),l0);
52c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath}
53c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath
54c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathvoid test_eigen2_parametrizedline()
55c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath{
56c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  for(int i = 0; i < g_repeat; i++) {
57c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    CALL_SUBTEST_1( parametrizedline(ParametrizedLine<float,2>()) );
58c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    CALL_SUBTEST_2( parametrizedline(ParametrizedLine<float,3>()) );
59c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    CALL_SUBTEST_3( parametrizedline(ParametrizedLine<double,4>()) );
60c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath    CALL_SUBTEST_4( parametrizedline(ParametrizedLine<std::complex<double>,5>()) );
61c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath  }
62c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath}
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