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 *  Point Cloud Library (PCL) - www.pointclouds.org
 *  Copyright (c) 2010-2012, Willow Garage, Inc.
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#include <gtest/gtest.h>

#include <boost/thread.hpp>

#include <pcl/sample_consensus/msac.h>
#include <pcl/sample_consensus/lmeds.h>
#include <pcl/sample_consensus/rmsac.h>
#include <pcl/sample_consensus/mlesac.h>
#include <pcl/sample_consensus/ransac.h>
#include <pcl/sample_consensus/rransac.h>
#include <pcl/sample_consensus/sac_model_sphere.h>

using namespace pcl;

typedef SampleConsensusModelSphere<PointXYZ>::Ptr SampleConsensusModelSpherePtr;

//////////////////////////////////////////////////////////////////////////////////////////////////////////////////
TEST (SampleConsensus, Base)
{
  PointCloud<PointXYZ>::Ptr cloud (new PointCloud<PointXYZ>);

  // Create a shared sphere model pointer directly
  SampleConsensusModelSpherePtr model (new SampleConsensusModelSphere<PointXYZ> (cloud));

  // Create the RANSAC object
  RandomSampleConsensus<PointXYZ> sac (model, 0.03);

  // Basic tests
  ASSERT_EQ (0.03, sac.getDistanceThreshold ());
  sac.setDistanceThreshold (0.03);
  ASSERT_EQ (0.03, sac.getDistanceThreshold ());

  sac.setProbability (0.99);
  ASSERT_EQ (0.99, sac.getProbability ());

  sac.setMaxIterations (10000);
  ASSERT_EQ (10000, sac.getMaxIterations ());
}

//////////////////////////////////////////////////////////////////////////////////////////////////////////////////
// Test if RANSAC finishes within a second.
TEST (SampleConsensus, InfiniteLoop)
{
  const unsigned point_count = 100;
  PointCloud<PointXYZ> cloud;
  cloud.points.resize (point_count);
  for (unsigned idx = 0; idx < point_count; ++idx)
  {
    cloud.points[idx].x = static_cast<float> (idx);
    cloud.points[idx].y = 0.0;
    cloud.points[idx].z = 0.0;
  }

#if defined(DEBUG) || defined(_DEBUG)
  boost::posix_time::time_duration delay (0, 0, 15, 0);
#else
  boost::posix_time::time_duration delay (0, 0, 1, 0);
#endif

  boost::function<bool ()> sac_function;
  SampleConsensusModelSpherePtr model (new SampleConsensusModelSphere<PointXYZ> (cloud.makeShared ()));

  // Create the RANSAC object
  RandomSampleConsensus<PointXYZ> ransac (model, 0.03);
  sac_function = boost::bind (&RandomSampleConsensus<PointXYZ>::computeModel, &ransac, 0);
  boost::thread thread1 (sac_function);
  ASSERT_TRUE (thread1.timed_join (delay));

  // Create the LMSAC object
  LeastMedianSquares<PointXYZ> lmsac (model, 0.03);
  sac_function = boost::bind (&LeastMedianSquares<PointXYZ>::computeModel, &lmsac, 0);
  boost::thread thread2 (sac_function);
  ASSERT_TRUE (thread2.timed_join (delay));

  // Create the MSAC object
  MEstimatorSampleConsensus<PointXYZ> mesac (model, 0.03);
  sac_function = boost::bind (&MEstimatorSampleConsensus<PointXYZ>::computeModel, &mesac, 0);
  boost::thread thread3 (sac_function);
  ASSERT_TRUE (thread3.timed_join (delay));

  // Create the RRSAC object
  RandomizedRandomSampleConsensus<PointXYZ> rrsac (model, 0.03);
  sac_function = boost::bind (&RandomizedRandomSampleConsensus<PointXYZ>::computeModel, &rrsac, 0);
  boost::thread thread4 (sac_function);
  ASSERT_TRUE (thread4.timed_join (delay));

  // Create the RMSAC object
  RandomizedMEstimatorSampleConsensus<PointXYZ> rmsac (model, 0.03);
  sac_function = boost::bind (&RandomizedMEstimatorSampleConsensus<PointXYZ>::computeModel, &rmsac, 0);
  boost::thread thread5 (sac_function);
  ASSERT_TRUE (thread5.timed_join (delay));

  // Create the MLESAC object
  MaximumLikelihoodSampleConsensus<PointXYZ> mlesac (model, 0.03);
  sac_function = boost::bind (&MaximumLikelihoodSampleConsensus<PointXYZ>::computeModel, &mlesac, 0);
  boost::thread thread6 (sac_function);
  ASSERT_TRUE (thread6.timed_join (delay));
}

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