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} 63