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// Copyright (C) 2010 Hauke Heibel <hauke.heibel@gmail.com> 6c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// 7c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// This Source Code Form is subject to the terms of the Mozilla 8c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// Public License v. 2.0. If a copy of the MPL was not distributed 9c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// with this file, You can obtain one at http://mozilla.org/MPL/2.0/. 10c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath 11c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath#include "main.h" 12c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath#include <Eigen/StdDeque> 13c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath#include <Eigen/Geometry> 14c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath 15c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathtemplate<typename MatrixType> 16c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathvoid check_stddeque_matrix(const MatrixType& m) 17c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath{ 18c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath typedef typename MatrixType::Index Index; 19c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath 20c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath Index rows = m.rows(); 21c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath Index cols = m.cols(); 22c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath MatrixType x = MatrixType::Random(rows,cols), y = MatrixType::Random(rows,cols); 23c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath std::deque<MatrixType,Eigen::aligned_allocator<MatrixType> > v(10, MatrixType(rows,cols)), w(20, y); 24c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath v.front() = x; 25c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath w.front() = w.back(); 26c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath VERIFY_IS_APPROX(w.front(), w.back()); 27c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath v = w; 28c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath 29c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath typename std::deque<MatrixType,Eigen::aligned_allocator<MatrixType> >::iterator vi = v.begin(); 30c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath typename std::deque<MatrixType,Eigen::aligned_allocator<MatrixType> >::iterator wi = w.begin(); 31c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath for(int i = 0; i < 20; i++) 32c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath { 33c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath VERIFY_IS_APPROX(*vi, *wi); 34c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath ++vi; 35c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath ++wi; 36c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath } 37c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath 38c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath v.resize(21); 39c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath v.back() = x; 40c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath VERIFY_IS_APPROX(v.back(), x); 41c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath v.resize(22,y); 42c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath VERIFY_IS_APPROX(v.back(), y); 43c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath v.push_back(x); 44c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath VERIFY_IS_APPROX(v.back(), x); 45c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath} 46c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath 47c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathtemplate<typename TransformType> 48c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathvoid check_stddeque_transform(const TransformType&) 49c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath{ 50c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath typedef typename TransformType::MatrixType MatrixType; 51c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath TransformType x(MatrixType::Random()), y(MatrixType::Random()); 52c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath std::deque<TransformType,Eigen::aligned_allocator<TransformType> > v(10), w(20, y); 53c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath v.front() = x; 54c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath w.front() = w.back(); 55c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath VERIFY_IS_APPROX(w.front(), w.back()); 56c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath v = w; 57c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath 58c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath typename std::deque<TransformType,Eigen::aligned_allocator<TransformType> >::iterator vi = v.begin(); 59c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath typename std::deque<TransformType,Eigen::aligned_allocator<TransformType> >::iterator wi = w.begin(); 60c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath for(int i = 0; i < 20; i++) 61c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath { 62c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath VERIFY_IS_APPROX(*vi, *wi); 63c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath ++vi; 64c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath ++wi; 65c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath } 66c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath 67c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath v.resize(21); 68c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath v.back() = x; 69c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath VERIFY_IS_APPROX(v.back(), x); 70c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath v.resize(22,y); 71c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath VERIFY_IS_APPROX(v.back(), y); 72c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath v.push_back(x); 73c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath VERIFY_IS_APPROX(v.back(), x); 74c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath} 75c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath 76c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathtemplate<typename QuaternionType> 77c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathvoid check_stddeque_quaternion(const QuaternionType&) 78c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath{ 79c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath typedef typename QuaternionType::Coefficients Coefficients; 80c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath QuaternionType x(Coefficients::Random()), y(Coefficients::Random()); 81c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath std::deque<QuaternionType,Eigen::aligned_allocator<QuaternionType> > v(10), w(20, y); 82c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath v.front() = x; 83c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath w.front() = w.back(); 84c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath VERIFY_IS_APPROX(w.front(), w.back()); 85c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath v = w; 86c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath 87c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath typename std::deque<QuaternionType,Eigen::aligned_allocator<QuaternionType> >::iterator vi = v.begin(); 88c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath typename std::deque<QuaternionType,Eigen::aligned_allocator<QuaternionType> >::iterator wi = w.begin(); 89c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath for(int i = 0; i < 20; i++) 90c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath { 91c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath VERIFY_IS_APPROX(*vi, *wi); 92c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath ++vi; 93c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath ++wi; 94c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath } 95c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath 96c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath v.resize(21); 97c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath v.back() = x; 98c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath VERIFY_IS_APPROX(v.back(), x); 99c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath v.resize(22,y); 100c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath VERIFY_IS_APPROX(v.back(), y); 101c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath v.push_back(x); 102c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath VERIFY_IS_APPROX(v.back(), x); 103c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath} 104c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath 105c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathvoid test_stddeque() 106c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath{ 107c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath // some non vectorizable fixed sizes 108c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath CALL_SUBTEST_1(check_stddeque_matrix(Vector2f())); 109c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath CALL_SUBTEST_1(check_stddeque_matrix(Matrix3f())); 110c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath CALL_SUBTEST_2(check_stddeque_matrix(Matrix3d())); 111c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath 112c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath // some vectorizable fixed sizes 113c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath CALL_SUBTEST_1(check_stddeque_matrix(Matrix2f())); 114c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath CALL_SUBTEST_1(check_stddeque_matrix(Vector4f())); 115c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath CALL_SUBTEST_1(check_stddeque_matrix(Matrix4f())); 116c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath CALL_SUBTEST_2(check_stddeque_matrix(Matrix4d())); 117c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath 118c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath // some dynamic sizes 119c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath CALL_SUBTEST_3(check_stddeque_matrix(MatrixXd(1,1))); 120c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath CALL_SUBTEST_3(check_stddeque_matrix(VectorXd(20))); 121c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath CALL_SUBTEST_3(check_stddeque_matrix(RowVectorXf(20))); 122c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath CALL_SUBTEST_3(check_stddeque_matrix(MatrixXcf(10,10))); 123c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath 124c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath // some Transform 125c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath CALL_SUBTEST_4(check_stddeque_transform(Affine2f())); 126c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath CALL_SUBTEST_4(check_stddeque_transform(Affine3f())); 127c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath CALL_SUBTEST_4(check_stddeque_transform(Affine3d())); 128c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath 129c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath // some Quaternion 130c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath CALL_SUBTEST_5(check_stddeque_quaternion(Quaternionf())); 131c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath CALL_SUBTEST_5(check_stddeque_quaternion(Quaterniond())); 132c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath} 133