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							195 lines
						
					
					
						
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							195 lines
						
					
					
						
							7.2 KiB
						
					
					
				
								// 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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								// This Source Code Form is subject to the terms of the Mozilla
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								// Public License v. 2.0. If a copy of the MPL was not distributed
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								// with this file, You can obtain one at http://mozilla.org/MPL/2.0/.
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								#include "main.h"
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								#include <StormEigen/Geometry>
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								#include <StormEigen/LU>
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								#include <StormEigen/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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								  using std::abs;
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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 HyperplaneType::RealScalar 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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								  if(numext::abs2(s0)>RealScalar(1e-6))
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								    VERIFY_IS_APPROX( pl1.signedDistance(p1 + n1 * s0), s0);
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								  else
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								    VERIFY_IS_MUCH_SMALLER_THAN( abs(pl1.signedDistance(p1 + n1 * s0) - s0), Scalar(1) );
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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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								    while(scaling.diagonal().cwiseAbs().minCoeff()<RealScalar(1e-4)) scaling.diagonal() = 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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								  using std::abs;
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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 (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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								    if(abs(a-1) > 1e-2 && abs(v.normalized().dot(u.normalized()))<0.9)
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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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								    HLine line_u2(pl);
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								    CoeffsType converted_coeffs = line_u2.coeffs();
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								    if(line_u2.normal().dot(line_u.normal())<0.)
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								      converted_coeffs = -line_u2.coeffs();
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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 planes()
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								{
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								  using std::abs;
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								  typedef Hyperplane<Scalar, 3> Plane;
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								  typedef Matrix<Scalar,3,1> Vector;
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								  for(int i = 0; i < 10; i++)
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								  {
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								    Vector v0 = Vector::Random();
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								    Vector v1(v0), v2(v0);
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								    if(internal::random<double>(0,1)>0.25)
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								      v1 += Vector::Random();
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								    if(internal::random<double>(0,1)>0.25)
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								      v2 += v1 * std::pow(internal::random<Scalar>(0,1),internal::random<int>(1,16));
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								    if(internal::random<double>(0,1)>0.25)
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								      v2 += Vector::Random() * std::pow(internal::random<Scalar>(0,1),internal::random<int>(1,16));
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								    Plane p0 = Plane::Through(v0, v1, v2);
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								    VERIFY_IS_APPROX(p0.normal().norm(), Scalar(1));
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								    VERIFY_IS_MUCH_SMALLER_THAN(p0.absDistance(v0), Scalar(1));
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								    VERIFY_IS_MUCH_SMALLER_THAN(p0.absDistance(v1), Scalar(1));
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								    VERIFY_IS_MUCH_SMALLER_THAN(p0.absDistance(v2), Scalar(1));
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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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								  STORMEIGEN_ALIGN_MAX Scalar array1[4];
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								  STORMEIGEN_ALIGN_MAX Scalar array2[4];
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								  STORMEIGEN_ALIGN_MAX 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(STORMEIGEN_VECTORIZE) && STORMEIGEN_MAX_STATIC_ALIGN_BYTES > 0
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								  if(internal::packet_traits<Scalar>::Vectorizable && internal::packet_traits<Scalar>::size<=4)
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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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								    CALL_SUBTEST_2( planes<float>() );
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								    CALL_SUBTEST_5( planes<double>() );
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								  }
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								}
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