// This file is part of Eigen, a lightweight C++ template library // for linear algebra. Eigen itself is part of the KDE project. // // Copyright (C) 2008 Benoit Jacob <jacob.benoit.1@gmail.com> // // This Source Code Form is subject to the terms of the Mozilla // Public License v. 2.0. If a copy of the MPL was not distributed // with this file, You can obtain one at http://mozilla.org/MPL/2.0/. #include "main.h" template<typename MatrixType> void matrixSum(const MatrixType& m) { typedef typename MatrixType::Scalar Scalar; int rows = m.rows(); int cols = m.cols(); MatrixType m1 = MatrixType::Random(rows, cols); VERIFY_IS_MUCH_SMALLER_THAN(MatrixType::Zero(rows, cols).sum(), Scalar(1)); VERIFY_IS_APPROX(MatrixType::Ones(rows, cols).sum(), Scalar(float(rows*cols))); // the float() here to shut up excessive MSVC warning about int->complex conversion being lossy Scalar x = Scalar(0); for(int i = 0; i < rows; i++) for(int j = 0; j < cols; j++) x += m1(i,j); VERIFY_IS_APPROX(m1.sum(), x); } template<typename VectorType> void vectorSum(const VectorType& w) { typedef typename VectorType::Scalar Scalar; int size = w.size(); VectorType v = VectorType::Random(size); for(int i = 1; i < size; i++) { Scalar s = Scalar(0); for(int j = 0; j < i; j++) s += v[j]; VERIFY_IS_APPROX(s, v.start(i).sum()); } for(int i = 0; i < size-1; i++) { Scalar s = Scalar(0); for(int j = i; j < size; j++) s += v[j]; VERIFY_IS_APPROX(s, v.end(size-i).sum()); } for(int i = 0; i < size/2; i++) { Scalar s = Scalar(0); for(int j = i; j < size-i; j++) s += v[j]; VERIFY_IS_APPROX(s, v.segment(i, size-2*i).sum()); } } void test_eigen2_sum() { for(int i = 0; i < g_repeat; i++) { CALL_SUBTEST_1( matrixSum(Matrix<float, 1, 1>()) ); CALL_SUBTEST_2( matrixSum(Matrix2f()) ); CALL_SUBTEST_3( matrixSum(Matrix4d()) ); CALL_SUBTEST_4( matrixSum(MatrixXcf(3, 3)) ); CALL_SUBTEST_5( matrixSum(MatrixXf(8, 12)) ); CALL_SUBTEST_6( matrixSum(MatrixXi(8, 12)) ); } for(int i = 0; i < g_repeat; i++) { CALL_SUBTEST_5( vectorSum(VectorXf(5)) ); CALL_SUBTEST_7( vectorSum(VectorXd(10)) ); CALL_SUBTEST_5( vectorSum(VectorXf(33)) ); } }