1c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// This file is part of Eigen, a lightweight C++ template library 2c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// for linear algebra. 3c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// 4c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// Copyright (C) 2008 Benoit Jacob <jacob.benoit.1@gmail.com> 5c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// 6c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// This Source Code Form is subject to the terms of the Mozilla 7c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// Public License v. 2.0. If a copy of the MPL was not distributed 8c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// with this file, You can obtain one at http://mozilla.org/MPL/2.0/. 9c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath 10c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath#include "main.h" 11c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath#include <Eigen/StdVector> 12c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath#include <Eigen/Geometry> 13c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath 14c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathtemplate<typename MatrixType> 15c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathvoid check_stdvector_matrix(const MatrixType& m) 16c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath{ 17c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath typename MatrixType::Index rows = m.rows(); 18c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath typename MatrixType::Index cols = m.cols(); 19c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath MatrixType x = MatrixType::Random(rows,cols), y = MatrixType::Random(rows,cols); 20c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath std::vector<MatrixType,Eigen::aligned_allocator<MatrixType> > v(10, MatrixType(rows,cols)), w(20, y); 21c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath v[5] = x; 22c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath w[6] = v[5]; 23c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath VERIFY_IS_APPROX(w[6], v[5]); 24c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath v = w; 25c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath for(int i = 0; i < 20; i++) 26c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath { 27c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath VERIFY_IS_APPROX(w[i], v[i]); 28c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath } 29c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath 30c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath v.resize(21); 31c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath v[20] = x; 32c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath VERIFY_IS_APPROX(v[20], x); 33c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath v.resize(22,y); 34c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath VERIFY_IS_APPROX(v[21], y); 35c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath v.push_back(x); 36c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath VERIFY_IS_APPROX(v[22], x); 37c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath VERIFY((size_t)&(v[22]) == (size_t)&(v[21]) + sizeof(MatrixType)); 38c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath 39c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath // do a lot of push_back such that the vector gets internally resized 40c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath // (with memory reallocation) 41c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath MatrixType* ref = &w[0]; 42c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath for(int i=0; i<30 || ((ref==&w[0]) && i<300); ++i) 43c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath v.push_back(w[i%w.size()]); 44c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath for(unsigned int i=23; i<v.size(); ++i) 45c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath { 46c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath VERIFY(v[i]==w[(i-23)%w.size()]); 47c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath } 48c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath} 49c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath 50c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathtemplate<typename TransformType> 51c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathvoid check_stdvector_transform(const TransformType&) 52c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath{ 53c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath typedef typename TransformType::MatrixType MatrixType; 54c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath TransformType x(MatrixType::Random()), y(MatrixType::Random()); 55c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath std::vector<TransformType,Eigen::aligned_allocator<TransformType> > v(10), w(20, y); 56c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath v[5] = x; 57c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath w[6] = v[5]; 58c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath VERIFY_IS_APPROX(w[6], v[5]); 59c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath v = w; 60c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath for(int i = 0; i < 20; i++) 61c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath { 62c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath VERIFY_IS_APPROX(w[i], v[i]); 63c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath } 64c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath 65c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath v.resize(21); 66c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath v[20] = x; 67c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath VERIFY_IS_APPROX(v[20], x); 68c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath v.resize(22,y); 69c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath VERIFY_IS_APPROX(v[21], y); 70c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath v.push_back(x); 71c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath VERIFY_IS_APPROX(v[22], x); 72c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath VERIFY((size_t)&(v[22]) == (size_t)&(v[21]) + sizeof(TransformType)); 73c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath 74c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath // do a lot of push_back such that the vector gets internally resized 75c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath // (with memory reallocation) 76c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath TransformType* ref = &w[0]; 77c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath for(int i=0; i<30 || ((ref==&w[0]) && i<300); ++i) 78c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath v.push_back(w[i%w.size()]); 79c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath for(unsigned int i=23; i<v.size(); ++i) 80c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath { 81c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath VERIFY(v[i].matrix()==w[(i-23)%w.size()].matrix()); 82c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath } 83c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath} 84c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath 85c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathtemplate<typename QuaternionType> 86c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathvoid check_stdvector_quaternion(const QuaternionType&) 87c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath{ 88c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath typedef typename QuaternionType::Coefficients Coefficients; 89c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath QuaternionType x(Coefficients::Random()), y(Coefficients::Random()); 90c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath std::vector<QuaternionType,Eigen::aligned_allocator<QuaternionType> > v(10), w(20, y); 91c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath v[5] = x; 92c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath w[6] = v[5]; 93c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath VERIFY_IS_APPROX(w[6], v[5]); 94c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath v = w; 95c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath for(int i = 0; i < 20; i++) 96c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath { 97c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath VERIFY_IS_APPROX(w[i], v[i]); 98c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath } 99c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath 100c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath v.resize(21); 101c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath v[20] = x; 102c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath VERIFY_IS_APPROX(v[20], x); 103c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath v.resize(22,y); 104c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath VERIFY_IS_APPROX(v[21], y); 105c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath v.push_back(x); 106c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath VERIFY_IS_APPROX(v[22], x); 107c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath VERIFY((size_t)&(v[22]) == (size_t)&(v[21]) + sizeof(QuaternionType)); 108c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath 109c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath // do a lot of push_back such that the vector gets internally resized 110c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath // (with memory reallocation) 111c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath QuaternionType* ref = &w[0]; 112c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath for(int i=0; i<30 || ((ref==&w[0]) && i<300); ++i) 113c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath v.push_back(w[i%w.size()]); 114c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath for(unsigned int i=23; i<v.size(); ++i) 115c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath { 116c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath VERIFY(v[i].coeffs()==w[(i-23)%w.size()].coeffs()); 117c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath } 118c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath} 119c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath 120c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathvoid test_stdvector() 121c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath{ 122c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath // some non vectorizable fixed sizes 123c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath CALL_SUBTEST_1(check_stdvector_matrix(Vector2f())); 124c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath CALL_SUBTEST_1(check_stdvector_matrix(Matrix3f())); 125c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath CALL_SUBTEST_2(check_stdvector_matrix(Matrix3d())); 126c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath 127c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath // some vectorizable fixed sizes 128c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath CALL_SUBTEST_1(check_stdvector_matrix(Matrix2f())); 129c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath CALL_SUBTEST_1(check_stdvector_matrix(Vector4f())); 130c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath CALL_SUBTEST_1(check_stdvector_matrix(Matrix4f())); 131c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath CALL_SUBTEST_2(check_stdvector_matrix(Matrix4d())); 132c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath 133c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath // some dynamic sizes 134c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath CALL_SUBTEST_3(check_stdvector_matrix(MatrixXd(1,1))); 135c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath CALL_SUBTEST_3(check_stdvector_matrix(VectorXd(20))); 136c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath CALL_SUBTEST_3(check_stdvector_matrix(RowVectorXf(20))); 137c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath CALL_SUBTEST_3(check_stdvector_matrix(MatrixXcf(10,10))); 138c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath 139c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath // some Transform 140c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath CALL_SUBTEST_4(check_stdvector_transform(Projective2f())); 141c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath CALL_SUBTEST_4(check_stdvector_transform(Projective3f())); 142c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath CALL_SUBTEST_4(check_stdvector_transform(Projective3d())); 143c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath //CALL_SUBTEST(heck_stdvector_transform(Projective4d())); 144c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath 145c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath // some Quaternion 146c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath CALL_SUBTEST_5(check_stdvector_quaternion(Quaternionf())); 147c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath CALL_SUBTEST_5(check_stdvector_quaternion(Quaterniond())); 148c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath} 149