src/Subsampling/test/test_choose_n_farthest_points.cpp


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/*    This file is part of the Gudhi Library. The Gudhi library
 *    (Geometric Understanding in Higher Dimensions) is a generic C++
 *    library for computational topology.
 *
 *    Author(s):       Siargey Kachanovich
 *
 *    Copyright (C) 2016 INRIA
 *
 *    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 3 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, see <http://www.gnu.org/licenses/>.
 */

// #ifdef _DEBUG
// # define TBB_USE_THREADING_TOOL
// #endif

#define BOOST_TEST_DYN_LINK
#define BOOST_TEST_MODULE "witness_complex_points"
#include <boost/test/unit_test.hpp>
#include <boost/mpl/list.hpp>

#include <gudhi/choose_n_farthest_points.h>
#include <vector>
#include <iterator>

#include <CGAL/Epick_d.h>

typedef CGAL::Epick_d<CGAL::Dynamic_dimension_tag> K;
typedef typename K::FT FT;
typedef typename K::Point_d Point_d;

BOOST_AUTO_TEST_CASE(test_choose_farthest_point) {
  std::vector< Point_d > points, landmarks;
  // Add grid points (625 points)
  for (FT i = 0; i < 5; i += 1.0)
    for (FT j = 0; j < 5; j += 1.0)
      for (FT k = 0; k < 5; k += 1.0)
        for (FT l = 0; l < 5; l += 1.0)
          points.push_back(Point_d(std::vector<FT>({i, j, k, l})));

  landmarks.clear();
  K k;
  Gudhi::subsampling::choose_n_farthest_points(k, points, 100, std::back_inserter(landmarks));

  BOOST_CHECK(landmarks.size() == 100);
}