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9b4d46c82e
with its respective unit-test. Feel free to discuss the API on the ML. * Some bugfix in unitOrthogonal found by the hyperplane unit test.
72 lines
2.6 KiB
C++
72 lines
2.6 KiB
C++
// This file is part of Eigen, a lightweight C++ template library
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// for linear algebra. Eigen itself is part of the KDE project.
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//
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// Copyright (C) 2008 Gael Guennebaud <g.gael@free.fr>
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//
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// Eigen is free software; you can redistribute it and/or
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// modify it under the terms of the GNU Lesser General Public
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// License as published by the Free Software Foundation; either
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// version 3 of the License, or (at your option) any later version.
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//
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// Alternatively, you can redistribute it and/or
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// modify it under the terms of the GNU General Public License as
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// published by the Free Software Foundation; either version 2 of
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// the License, or (at your option) any later version.
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//
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// Eigen is distributed in the hope that it will be useful, but WITHOUT ANY
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// WARRANTY; without even the implied warranty of MERCHANTABILITY or FITNESS
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// FOR A PARTICULAR PURPOSE. See the GNU Lesser General Public License or the
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// GNU General Public License for more details.
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//
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// You should have received a copy of the GNU Lesser General Public
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// License and a copy of the GNU General Public License along with
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// Eigen. If not, see <http://www.gnu.org/licenses/>.
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#include "main.h"
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#include <Eigen/Geometry>
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#include <Eigen/LU>
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template<typename PlaneType> void hyperplane(const PlaneType& _plane)
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{
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/* this test covers the following files:
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HyperPlane.h
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*/
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const int dim = _plane.dim();
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typedef typename PlaneType::Scalar Scalar;
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typedef typename NumTraits<Scalar>::Real RealScalar;
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typedef Matrix<Scalar, PlaneType::DimAtCompileTime, 1> VectorType;
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VectorType p0 = VectorType::Random(dim);
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VectorType p1 = VectorType::Random(dim);
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VectorType n0 = VectorType::Random(dim).normalized();
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VectorType n1 = VectorType::Random(dim).normalized();
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PlaneType pl0(n0, p0);
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PlaneType pl1(n1, p1);
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Scalar s0 = ei_random<Scalar>();
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Scalar s1 = ei_random<Scalar>();
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VERIFY_IS_APPROX( n1.dot(n1), Scalar(1) );
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VERIFY_IS_APPROX( n1.dot(n1), Scalar(1) );
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VERIFY_IS_MUCH_SMALLER_THAN( pl0.distanceTo(p0), Scalar(1) );
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VERIFY_IS_APPROX( pl1.distanceTo(p1 + n1 * s0), s0 );
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VERIFY_IS_MUCH_SMALLER_THAN( pl1.distanceTo(pl1.project(p0)), Scalar(1) );
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VERIFY_IS_MUCH_SMALLER_THAN( pl1.distanceTo(p1 + pl1.normal().unitOrthogonal() * s1), Scalar(1) );
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}
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void test_hyperplane()
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{
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for(int i = 0; i < g_repeat; i++) {
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CALL_SUBTEST( hyperplane(HyperPlane<float,2>()) );
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CALL_SUBTEST( hyperplane(HyperPlane<float,3>()) );
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CALL_SUBTEST( hyperplane(HyperPlane<double,4>()) );
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CALL_SUBTEST( hyperplane(HyperPlane<std::complex<double>,5>()) );
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CALL_SUBTEST( hyperplane(HyperPlane<double,Dynamic>(13)) );
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}
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}
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