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6347b1db5b
it never made very precise sense. but now does it still make any?
164 lines
5.2 KiB
C++
164 lines
5.2 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 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/StdVector>
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#include <Eigen/Geometry>
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template<typename MatrixType>
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void check_stdvector_matrix(const MatrixType& m)
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{
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int rows = m.rows();
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int cols = m.cols();
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MatrixType x = MatrixType::Random(rows,cols), y = MatrixType::Random(rows,cols);
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std::vector<MatrixType,Eigen::aligned_allocator<MatrixType> > v(10, MatrixType(rows,cols)), w(20, y);
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v[5] = x;
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w[6] = v[5];
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VERIFY_IS_APPROX(w[6], v[5]);
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v = w;
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for(int i = 0; i < 20; i++)
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{
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VERIFY_IS_APPROX(w[i], v[i]);
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}
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v.resize(21);
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v[20] = x;
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VERIFY_IS_APPROX(v[20], x);
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v.resize(22,y);
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VERIFY_IS_APPROX(v[21], y);
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v.push_back(x);
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VERIFY_IS_APPROX(v[22], x);
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VERIFY((size_t)&(v[22]) == (size_t)&(v[21]) + sizeof(MatrixType));
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// do a lot of push_back such that the vector gets internally resized
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// (with memory reallocation)
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MatrixType* ref = &w[0];
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for(int i=0; i<30 || ((ref==&w[0]) && i<300); ++i)
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v.push_back(w[i%w.size()]);
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for(unsigned int i=23; i<v.size(); ++i)
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{
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VERIFY(v[i]==w[(i-23)%w.size()]);
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}
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}
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template<typename TransformType>
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void check_stdvector_transform(const TransformType&)
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{
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typedef typename TransformType::MatrixType MatrixType;
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TransformType x(MatrixType::Random()), y(MatrixType::Random());
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std::vector<TransformType,Eigen::aligned_allocator<TransformType> > v(10), w(20, y);
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v[5] = x;
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w[6] = v[5];
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VERIFY_IS_APPROX(w[6], v[5]);
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v = w;
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for(int i = 0; i < 20; i++)
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{
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VERIFY_IS_APPROX(w[i], v[i]);
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}
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v.resize(21);
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v[20] = x;
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VERIFY_IS_APPROX(v[20], x);
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v.resize(22,y);
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VERIFY_IS_APPROX(v[21], y);
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v.push_back(x);
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VERIFY_IS_APPROX(v[22], x);
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VERIFY((size_t)&(v[22]) == (size_t)&(v[21]) + sizeof(TransformType));
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// do a lot of push_back such that the vector gets internally resized
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// (with memory reallocation)
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TransformType* ref = &w[0];
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for(int i=0; i<30 || ((ref==&w[0]) && i<300); ++i)
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v.push_back(w[i%w.size()]);
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for(unsigned int i=23; i<v.size(); ++i)
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{
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VERIFY(v[i].matrix()==w[(i-23)%w.size()].matrix());
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}
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}
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template<typename QuaternionType>
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void check_stdvector_quaternion(const QuaternionType&)
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{
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typedef typename QuaternionType::Coefficients Coefficients;
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QuaternionType x(Coefficients::Random()), y(Coefficients::Random());
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std::vector<QuaternionType,Eigen::aligned_allocator<QuaternionType> > v(10), w(20, y);
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v[5] = x;
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w[6] = v[5];
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VERIFY_IS_APPROX(w[6], v[5]);
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v = w;
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for(int i = 0; i < 20; i++)
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{
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VERIFY_IS_APPROX(w[i], v[i]);
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}
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v.resize(21);
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v[20] = x;
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VERIFY_IS_APPROX(v[20], x);
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v.resize(22,y);
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VERIFY_IS_APPROX(v[21], y);
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v.push_back(x);
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VERIFY_IS_APPROX(v[22], x);
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VERIFY((size_t)&(v[22]) == (size_t)&(v[21]) + sizeof(QuaternionType));
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// do a lot of push_back such that the vector gets internally resized
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// (with memory reallocation)
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QuaternionType* ref = &w[0];
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for(int i=0; i<30 || ((ref==&w[0]) && i<300); ++i)
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v.push_back(w[i%w.size()]);
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for(unsigned int i=23; i<v.size(); ++i)
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{
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VERIFY(v[i].coeffs()==w[(i-23)%w.size()].coeffs());
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}
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}
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void test_stdvector()
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{
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// some non vectorizable fixed sizes
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CALL_SUBTEST(check_stdvector_matrix(Vector2f()));
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CALL_SUBTEST(check_stdvector_matrix(Matrix3f()));
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CALL_SUBTEST(check_stdvector_matrix(Matrix3d()));
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// some vectorizable fixed sizes
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CALL_SUBTEST(check_stdvector_matrix(Matrix2f()));
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CALL_SUBTEST(check_stdvector_matrix(Vector4f()));
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CALL_SUBTEST(check_stdvector_matrix(Matrix4f()));
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CALL_SUBTEST(check_stdvector_matrix(Matrix4d()));
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// some dynamic sizes
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CALL_SUBTEST(check_stdvector_matrix(MatrixXd(1,1)));
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CALL_SUBTEST(check_stdvector_matrix(VectorXd(20)));
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CALL_SUBTEST(check_stdvector_matrix(RowVectorXf(20)));
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CALL_SUBTEST(check_stdvector_matrix(MatrixXcf(10,10)));
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// some Transform
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CALL_SUBTEST(check_stdvector_transform(Transform2f()));
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CALL_SUBTEST(check_stdvector_transform(Transform3f()));
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CALL_SUBTEST(check_stdvector_transform(Transform3d()));
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//CALL_SUBTEST(check_stdvector_transform(Transform4d()));
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// some Quaternion
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CALL_SUBTEST(check_stdvector_quaternion(Quaternionf()));
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CALL_SUBTEST(check_stdvector_quaternion(Quaternionf()));
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}
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