mirror of
https://gitlab.com/libeigen/eigen.git
synced 2026-04-10 11:34:33 +08:00
big addons:
* add Homogeneous expression for vector and set of vectors (aka matrix) => the next step will be to overload operator* * add homogeneous normalization (again for vector and set of vectors) * add a Replicate expression (with uni-directional replication facilities) => for all of them I'll add examples once we agree on the API * fix gcc-4.4 warnings * rename reverse.cpp array_reverse.cpp
This commit is contained in:
@@ -105,6 +105,8 @@ ei_add_test(commainitializer)
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ei_add_test(smallvectors)
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ei_add_test(map)
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ei_add_test(array)
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ei_add_test(array_replicate)
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ei_add_test(array_reverse)
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ei_add_test(triangular)
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ei_add_test(cholesky " " "${GSL_LIBRARIES}")
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ei_add_test(lu ${EI_OFLAG})
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@@ -114,6 +116,7 @@ ei_add_test(qr)
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ei_add_test(eigensolver " " "${GSL_LIBRARIES}")
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ei_add_test(svd)
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ei_add_test(geo_orthomethods)
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ei_add_test(geo_homogeneous)
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ei_add_test(geo_quaternion)
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ei_add_test(geo_transformations)
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ei_add_test(geo_eulerangles)
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@@ -135,7 +138,6 @@ ei_add_test(sparse_vector)
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ei_add_test(sparse_basic)
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ei_add_test(sparse_product)
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ei_add_test(sparse_solvers " " "${SPARSE_LIBS}")
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ei_add_test(reverse)
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ei_add_property(EIGEN_TESTING_SUMMARY "CXX: ${CMAKE_CXX_COMPILER}\n")
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86
test/array_replicate.cpp
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86
test/array_replicate.cpp
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@@ -0,0 +1,86 @@
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// 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) 2009 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/Array>
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template<typename MatrixType> void replicate(const MatrixType& m)
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{
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/* this test covers the following files:
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Replicate.cpp
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*/
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typedef typename MatrixType::Scalar Scalar;
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typedef typename NumTraits<Scalar>::Real RealScalar;
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typedef Matrix<Scalar, MatrixType::RowsAtCompileTime, 1> VectorType;
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typedef Matrix<Scalar, Dynamic, Dynamic> MatrixX;
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typedef Matrix<Scalar, Dynamic, 1> VectorX;
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int rows = m.rows();
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int cols = m.cols();
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MatrixType m1 = MatrixType::Random(rows, cols),
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m2 = MatrixType::Random(rows, cols);
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VectorType v1 = VectorType::Random(rows);
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MatrixX x1, x2;
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VectorX vx1;
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int f1 = ei_random<int>(1,10),
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f2 = ei_random<int>(1,10);
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x1.resize(rows*f1,cols*f2);
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for(int j=0; j<f2; j++)
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for(int i=0; i<f1; i++)
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x1.block(i*rows,j*cols,rows,cols) = m1;
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VERIFY_IS_APPROX(x1, m1.replicate(f1,f2));
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x2.resize(2*rows,3*cols);
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x2 << m2, m2, m2,
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m2, m2, m2;
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VERIFY_IS_APPROX(x2, (m2.template replicate<2,3>()));
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x2.resize(rows,f1);
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for (int j=0; j<f1; ++j)
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x2.col(j) = v1;
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VERIFY_IS_APPROX(x2, v1.rowwise().replicate(f1));
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vx1.resize(rows*f2);
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for (int j=0; j<f2; ++j)
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vx1.segment(j*rows,rows) = v1;
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VERIFY_IS_APPROX(vx1, v1.colwise().replicate(f2));
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}
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void test_array_replicate()
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{
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for(int i = 0; i < g_repeat; i++) {
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CALL_SUBTEST( replicate(Matrix<float, 1, 1>()) );
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CALL_SUBTEST( replicate(Vector2f()) );
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CALL_SUBTEST( replicate(Vector3d()) );
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CALL_SUBTEST( replicate(Vector4f()) );
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CALL_SUBTEST( replicate(VectorXf(16)) );
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CALL_SUBTEST( replicate(VectorXcd(10)) );
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}
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}
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@@ -160,7 +160,7 @@ template<typename MatrixType> void reverse(const MatrixType& m)
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*/
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}
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void test_reverse()
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void test_array_reverse()
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{
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for(int i = 0; i < g_repeat; i++) {
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CALL_SUBTEST( reverse(Matrix<float, 1, 1>()) );
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79
test/geo_homogeneous.cpp
Normal file
79
test/geo_homogeneous.cpp
Normal file
@@ -0,0 +1,79 @@
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// 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) 2009 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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template<typename Scalar,int Size> void homogeneous(void)
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{
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/* this test covers the following files:
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Homogeneous.h
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*/
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typedef Matrix<Scalar,Size,Size> MatrixType;
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typedef Matrix<Scalar,Size,1> VectorType;
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typedef Matrix<Scalar,Size+1,Size> HMatrixType;
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typedef Matrix<Scalar,Size+1,1> HVectorType;
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Scalar largeEps = test_precision<Scalar>();
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if (ei_is_same_type<Scalar,float>::ret)
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largeEps = 1e-3f;
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Scalar eps = ei_random<Scalar>() * 1e-2;
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VectorType v0 = VectorType::Random(),
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v1 = VectorType::Random(),
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ones = VectorType::Ones();
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HVectorType hv0 = HVectorType::Random(),
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hv1 = HVectorType::Random();
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MatrixType m0 = MatrixType::Random(),
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m1 = MatrixType::Random();
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HMatrixType hm0 = HMatrixType::Random(),
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hm1 = HMatrixType::Random();
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hv0 << v0, 1;
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VERIFY_IS_APPROX(v0.homogeneous(), hv0);
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VERIFY_IS_APPROX(v0, hv0.hnormalized());
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hm0 << m0, ones.transpose();
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VERIFY_IS_APPROX(m0.colwise().homogeneous(), hm0);
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VERIFY_IS_APPROX(m0, hm0.colwise().hnormalized());
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hm0.row(Size-1).setRandom();
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for(int j=0; j<Size; ++j)
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m0.col(j) = hm0.col(j).start(Size) / hm0(Size,j);
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VERIFY_IS_APPROX(m0, hm0.colwise().hnormalized());
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}
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void test_geo_homogeneous()
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{
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for(int i = 0; i < g_repeat; i++) {
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CALL_SUBTEST(( homogeneous<float,1>() ));
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CALL_SUBTEST(( homogeneous<double,3>() ));
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CALL_SUBTEST(( homogeneous<double,8>() ));
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}
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}
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@@ -137,8 +137,8 @@ template<typename Scalar> void packetmath()
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ref[0] = data1[0];
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for (int i=0; i<PacketSize; ++i)
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ref[0] = std::min(ref[0],data1[i]);
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VERIFY(ei_isApprox(ref[0], ei_predux_min(ei_pload(data1))) && "ei_predux_max");
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ref[0] = std::max(ref[0],data1[i]);
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VERIFY(ei_isApprox(ref[0], ei_predux_max(ei_pload(data1))) && "ei_predux_max");
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for (int j=0; j<PacketSize; ++j)
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{
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