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// 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)) );
}
}
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