/*
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 *     with the distribution.
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 *     contributors may be used to endorse or promote products derived
 *     from this software without specific prior written permission.
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 *  THIS SOFTWARE IS PROVIDED BY THE COPYRIGHT HOLDERS AND CONTRIBUTORS
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/** \author Bastian Steder */

#include <pcl/pcl_macros.h>
#include <iostream> 
#include <sstream> 
#include <gtest/gtest.h>
#include <pcl/common/vector_average.h>
using namespace pcl;

//////////////////////////////////////////////////////////////////////////////////////////////////////////////////
TEST (PCL, VectorAverage_mean)
{
  std::vector<Eigen::Vector3f> points;
  std::vector<Eigen::Vector3f::Scalar> weights;
  points.push_back (Eigen::Vector3f (-0.558191f, 0.180822f, -0.809769f));
  weights.push_back (0.160842f);
  points.push_back (Eigen::Vector3f (-0.510641f, 0.290673f, -0.809169f));
  weights.push_back (0.526732f);
  points.push_back (Eigen::Vector3f (-0.440713f, 0.385624f, -0.810597f));
  weights.push_back (0.312427f);
  
  Eigen::Vector3f correct_mean (0.0f, 0.0f, 0.0f);
  float weigth_sum = 0.0f;
  for (unsigned int i = 0; i < points.size (); ++i)
  {
    correct_mean += weights[i]*points[i];
    weigth_sum += weights[i];
  }
  correct_mean /= weigth_sum;
  
  pcl::VectorAverage<float, 3> va;
  for (unsigned int i=0; i<points.size(); ++i)
    va.add(points[i], weights[i]);
  Eigen::Vector3f mean = va.getMean();
  //std::cout << "Correct: "<<correct_mean <<"\n"<< "Result: "<<mean<<"\n";
  EXPECT_NEAR ((mean-correct_mean).norm(), 0.0f, 1e-4);
}

/* ---[ */
int
main (int argc, char** argv)
{
  testing::InitGoogleTest (&argc, argv);
  return (RUN_ALL_TESTS ());
}
/* ]--- */
