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 *  Point Cloud Library (PCL) - www.pointclouds.org
 *  Copyright (c) 2014-, Open Perception, Inc.
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#include <pcl/io/pcd_io.h>
#include <boost/lexical_cast.hpp> // for lexical_cast

/** @brief PCL point object */
using PointT = pcl::PointXYZRGBA;

/** @brief PCL Point cloud object */
using PointCloudT = pcl::PointCloud<PointT>;

int
main (int argc,
      char** argv)
{
  if (argc != 3 && argc != 4)
  {
    PCL_ERROR ("Usage: %s cloud_in.pcd cloud_out_ascii.pcd percentage_of_NaN \n", argv[0]);
    return (-1);
  }

  int percentage_of_NaN = 20;
  if (argc == 4)
    percentage_of_NaN = boost::lexical_cast<int>(argv[3]);

  PCL_INFO ("Replacing approximately %d%% of the cloud with NaN values (already existing NaN values are conserved)\n", percentage_of_NaN);
  PointCloudT::Ptr cloud (new PointCloudT);
  if (pcl::io::loadPCDFile (argv[1], *cloud) != 0)
    return (-1);

  for (auto &point : *cloud)
  {
    int random = 1 + (rand () % (100));
    int random_xyz = 1 + (rand () % (3 - 1 + 1));

    if (random < percentage_of_NaN)
    {
      if (random_xyz == 1)
        point.x = std::numeric_limits<double>::quiet_NaN ();
      else if (random_xyz == 2)
        point.y = std::numeric_limits<double>::quiet_NaN ();
      else
        point.z = std::numeric_limits<double>::quiet_NaN ();
    }
  }

  pcl::io::savePCDFile (argv[2], *cloud);
  return (0);
}

