1c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// This file is part of Eigen, a lightweight C++ template library 2c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// for linear algebra. Eigen itself is part of the KDE project. 3c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// 4c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath// Copyright (C) 2006-2008 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 12c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathtemplate<typename MatrixType> void miscMatrices(const MatrixType& m) 13c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath{ 14c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath /* this test covers the following files: 15c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath DiagonalMatrix.h Ones.h 16c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath */ 17c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath 18c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath typedef typename MatrixType::Scalar Scalar; 19c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath typedef Matrix<Scalar, MatrixType::RowsAtCompileTime, 1> VectorType; 20c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath typedef Matrix<Scalar, 1, MatrixType::ColsAtCompileTime> RowVectorType; 21c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath int rows = m.rows(); 22c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath int cols = m.cols(); 23c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath 24c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath int r = ei_random<int>(0, rows-1), r2 = ei_random<int>(0, rows-1), c = ei_random<int>(0, cols-1); 25c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath VERIFY_IS_APPROX(MatrixType::Ones(rows,cols)(r,c), static_cast<Scalar>(1)); 26c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath MatrixType m1 = MatrixType::Ones(rows,cols); 27c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath VERIFY_IS_APPROX(m1(r,c), static_cast<Scalar>(1)); 28c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath VectorType v1 = VectorType::Random(rows); 29c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath v1[0]; 30c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath Matrix<Scalar, MatrixType::RowsAtCompileTime, MatrixType::RowsAtCompileTime> 31c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath square = v1.asDiagonal(); 32c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath if(r==r2) VERIFY_IS_APPROX(square(r,r2), v1[r]); 33c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath else VERIFY_IS_MUCH_SMALLER_THAN(square(r,r2), static_cast<Scalar>(1)); 34c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath square = MatrixType::Zero(rows, rows); 35c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath square.diagonal() = VectorType::Ones(rows); 36c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath VERIFY_IS_APPROX(square, MatrixType::Identity(rows, rows)); 37c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath} 38c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath 39c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamathvoid test_eigen2_miscmatrices() 40c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath{ 41c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath for(int i = 0; i < g_repeat; i++) { 42c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath CALL_SUBTEST_1( miscMatrices(Matrix<float, 1, 1>()) ); 43c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath CALL_SUBTEST_2( miscMatrices(Matrix4d()) ); 44c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath CALL_SUBTEST_3( miscMatrices(MatrixXcf(3, 3)) ); 45c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath CALL_SUBTEST_4( miscMatrices(MatrixXi(8, 12)) ); 46c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath CALL_SUBTEST_5( miscMatrices(MatrixXcd(20, 20)) ); 47c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath } 48c981c48f5bc9aefeffc0bcb0cc3934c2fae179ddNarayan Kamath} 49