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173 lines
6.6 KiB
C++
173 lines
6.6 KiB
C++
// This file is part of Eigen, a lightweight C++ template library
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// for linear algebra.
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//
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// Copyright (C) 2008 Gael Guennebaud <gael.guennebaud@inria.fr>
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// Copyright (C) 2008 Benoit Jacob <jacob.benoit.1@gmail.com>
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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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#include <Eigen/QR>
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template<typename HyperplaneType> void hyperplane(const HyperplaneType& _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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typedef typename HyperplaneType::Index Index;
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const Index dim = _plane.dim();
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enum { Options = HyperplaneType::Options };
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typedef typename HyperplaneType::Scalar Scalar;
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typedef typename NumTraits<Scalar>::Real RealScalar;
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typedef Matrix<Scalar, HyperplaneType::AmbientDimAtCompileTime, 1> VectorType;
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typedef Matrix<Scalar, HyperplaneType::AmbientDimAtCompileTime,
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HyperplaneType::AmbientDimAtCompileTime> MatrixType;
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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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HyperplaneType pl0(n0, p0);
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HyperplaneType pl1(n1, p1);
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HyperplaneType pl2 = pl1;
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Scalar s0 = internal::random<Scalar>();
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Scalar s1 = internal::random<Scalar>();
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VERIFY_IS_APPROX( n1.dot(n1), Scalar(1) );
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VERIFY_IS_MUCH_SMALLER_THAN( pl0.absDistance(p0), Scalar(1) );
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VERIFY_IS_APPROX( pl1.signedDistance(p1 + n1 * s0), s0 );
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VERIFY_IS_MUCH_SMALLER_THAN( pl1.signedDistance(pl1.projection(p0)), Scalar(1) );
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VERIFY_IS_MUCH_SMALLER_THAN( pl1.absDistance(p1 + pl1.normal().unitOrthogonal() * s1), Scalar(1) );
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// transform
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if (!NumTraits<Scalar>::IsComplex)
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{
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MatrixType rot = MatrixType::Random(dim,dim).householderQr().householderQ();
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DiagonalMatrix<Scalar,HyperplaneType::AmbientDimAtCompileTime> scaling(VectorType::Random());
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Translation<Scalar,HyperplaneType::AmbientDimAtCompileTime> translation(VectorType::Random());
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pl2 = pl1;
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VERIFY_IS_MUCH_SMALLER_THAN( pl2.transform(rot).absDistance(rot * p1), Scalar(1) );
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pl2 = pl1;
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VERIFY_IS_MUCH_SMALLER_THAN( pl2.transform(rot,Isometry).absDistance(rot * p1), Scalar(1) );
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pl2 = pl1;
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VERIFY_IS_MUCH_SMALLER_THAN( pl2.transform(rot*scaling).absDistance((rot*scaling) * p1), Scalar(1) );
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pl2 = pl1;
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VERIFY_IS_MUCH_SMALLER_THAN( pl2.transform(rot*scaling*translation)
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.absDistance((rot*scaling*translation) * p1), Scalar(1) );
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pl2 = pl1;
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VERIFY_IS_MUCH_SMALLER_THAN( pl2.transform(rot*translation,Isometry)
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.absDistance((rot*translation) * p1), Scalar(1) );
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}
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// casting
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const int Dim = HyperplaneType::AmbientDimAtCompileTime;
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typedef typename GetDifferentType<Scalar>::type OtherScalar;
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Hyperplane<OtherScalar,Dim,Options> hp1f = pl1.template cast<OtherScalar>();
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VERIFY_IS_APPROX(hp1f.template cast<Scalar>(),pl1);
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Hyperplane<Scalar,Dim,Options> hp1d = pl1.template cast<Scalar>();
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VERIFY_IS_APPROX(hp1d.template cast<Scalar>(),pl1);
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}
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template<typename Scalar> void lines()
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{
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typedef Hyperplane<Scalar, 2> HLine;
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typedef ParametrizedLine<Scalar, 2> PLine;
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typedef Matrix<Scalar,2,1> Vector;
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typedef Matrix<Scalar,3,1> CoeffsType;
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for(int i = 0; i < 10; i++)
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{
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Vector center = Vector::Random();
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Vector u = Vector::Random();
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Vector v = Vector::Random();
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Scalar a = internal::random<Scalar>();
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while (internal::abs(a-1) < 1e-4) a = internal::random<Scalar>();
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while (u.norm() < 1e-4) u = Vector::Random();
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while (v.norm() < 1e-4) v = Vector::Random();
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HLine line_u = HLine::Through(center + u, center + a*u);
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HLine line_v = HLine::Through(center + v, center + a*v);
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// the line equations should be normalized so that a^2+b^2=1
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VERIFY_IS_APPROX(line_u.normal().norm(), Scalar(1));
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VERIFY_IS_APPROX(line_v.normal().norm(), Scalar(1));
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Vector result = line_u.intersection(line_v);
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// the lines should intersect at the point we called "center"
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VERIFY_IS_APPROX(result, center);
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// check conversions between two types of lines
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PLine pl(line_u); // gcc 3.3 will commit suicide if we don't name this variable
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CoeffsType converted_coeffs = HLine(pl).coeffs();
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converted_coeffs *= (line_u.coeffs()[0])/(converted_coeffs[0]);
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VERIFY(line_u.coeffs().isApprox(converted_coeffs));
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}
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}
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template<typename Scalar> void hyperplane_alignment()
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{
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typedef Hyperplane<Scalar,3,AutoAlign> Plane3a;
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typedef Hyperplane<Scalar,3,DontAlign> Plane3u;
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EIGEN_ALIGN16 Scalar array1[4];
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EIGEN_ALIGN16 Scalar array2[4];
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EIGEN_ALIGN16 Scalar array3[4+1];
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Scalar* array3u = array3+1;
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Plane3a *p1 = ::new(reinterpret_cast<void*>(array1)) Plane3a;
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Plane3u *p2 = ::new(reinterpret_cast<void*>(array2)) Plane3u;
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Plane3u *p3 = ::new(reinterpret_cast<void*>(array3u)) Plane3u;
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p1->coeffs().setRandom();
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*p2 = *p1;
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*p3 = *p1;
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VERIFY_IS_APPROX(p1->coeffs(), p2->coeffs());
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VERIFY_IS_APPROX(p1->coeffs(), p3->coeffs());
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#if defined(EIGEN_VECTORIZE) && EIGEN_ALIGN_STATICALLY
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if(internal::packet_traits<Scalar>::Vectorizable)
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VERIFY_RAISES_ASSERT((::new(reinterpret_cast<void*>(array3u)) Plane3a));
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#endif
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}
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void test_geo_hyperplane()
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{
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for(int i = 0; i < g_repeat; i++) {
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CALL_SUBTEST_1( hyperplane(Hyperplane<float,2>()) );
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CALL_SUBTEST_2( hyperplane(Hyperplane<float,3>()) );
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CALL_SUBTEST_2( hyperplane(Hyperplane<float,3,DontAlign>()) );
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CALL_SUBTEST_2( hyperplane_alignment<float>() );
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CALL_SUBTEST_3( hyperplane(Hyperplane<double,4>()) );
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CALL_SUBTEST_4( hyperplane(Hyperplane<std::complex<double>,5>()) );
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CALL_SUBTEST_1( lines<float>() );
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CALL_SUBTEST_3( lines<double>() );
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}
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}
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