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/*
* This file is a part of Luminance HDR package
* ----------------------------------------------------------------------
* Copyright (C) 2012 Davide Anastasia
*
* This program is free software; you can redistribute it and/or modify
* it under the terms of the GNU General Public License as published by
* the Free Software Foundation; either version 2 of the License, or
* (at your option) any later version.
*
* This program is distributed in the hope that it will be useful,
* but WITHOUT ANY WARRANTY; without even the implied warranty of
* MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
* GNU General Public License for more details.
*
* You should have received a copy of the GNU General Public License
* along with this program; if not, write to the Free Software
* Foundation, Inc., 59 Temple Place, Suite 330, Boston, MA 02111-1307 USA
* ----------------------------------------------------------------------
*/
#include <gtest/gtest.h>
#include <numeric>
#include <algorithm>
#include <cmath>
#include <boost/bind.hpp>
#include <Libpfs/utils/dotproduct.h>
using namespace pfs::utils;
float myRand()
{
return ( static_cast<float>(rand())/(RAND_MAX) );
}
TEST(TestVexDotProduct, SmallSize)
{
std::vector<float> inputVector(100); // 100 pixels
std::generate(inputVector.begin(), inputVector.end(), &myRand);
float avg = std::inner_product(inputVector.begin(), inputVector.end(),
inputVector.begin(), (double)0.0);
float avgVex = dotProduct(inputVector.data(), inputVector.size());
EXPECT_NEAR(avg, avgVex, 10e2);
}
TEST(TestVexDotProduct, MediumSize)
{
std::vector<float> inputVector(1000000); // 1 mpixels
std::generate(inputVector.begin(), inputVector.end(), &myRand);
float avg = std::inner_product(inputVector.begin(), inputVector.end(),
inputVector.begin(), (double)0.0);
float avgVex = dotProduct(inputVector.data(), inputVector.size());
EXPECT_NEAR(avg, avgVex, 10e2);
}
TEST(TestVexDotProduct, BigSize)
{
std::vector<float> inputVector(10000000); // 10 mpixels
std::generate(inputVector.begin(), inputVector.end(), &myRand);
float avg = std::inner_product(inputVector.begin(), inputVector.end(),
inputVector.begin(), (double)0.0);
float avgVex = dotProduct(inputVector.data(), inputVector.size());
EXPECT_NEAR(avg, avgVex, 10e2);
}
TEST(TestVexDotProduct, HugeSize)
{
std::vector<float> inputVector(36000000); // 36 mpixels
std::generate(inputVector.begin(), inputVector.end(), &myRand);
float avg = std::inner_product(inputVector.begin(), inputVector.end(),
inputVector.begin(), (double)0.0);
float avgVex = dotProduct(inputVector.data(), inputVector.size());
EXPECT_NEAR(avg, avgVex, 10e2);
}
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