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Diffstat (limited to 'trunk/src/Subsampling/test/test_sparsify_point_set.cpp')
-rw-r--r-- | trunk/src/Subsampling/test/test_sparsify_point_set.cpp | 55 |
1 files changed, 55 insertions, 0 deletions
diff --git a/trunk/src/Subsampling/test/test_sparsify_point_set.cpp b/trunk/src/Subsampling/test/test_sparsify_point_set.cpp new file mode 100644 index 00000000..f993d6d6 --- /dev/null +++ b/trunk/src/Subsampling/test/test_sparsify_point_set.cpp @@ -0,0 +1,55 @@ +/* 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): Clement Jamin + * + * 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/>. + */ + +#define BOOST_TEST_DYN_LINK +#define BOOST_TEST_MODULE Subsampling - test sparsify_point_set +#include <boost/test/unit_test.hpp> + +#include <gudhi/sparsify_point_set.h> + +#include <CGAL/Epick_d.h> +#include <CGAL/Random.h> + +#include <vector> +#include <iterator> + +BOOST_AUTO_TEST_CASE(test_sparsify_point_set) +{ + typedef CGAL::Epick_d<CGAL::Dimension_tag<4> > K; + typedef typename K::Point_d Point_d; + + CGAL::Random rd; + + std::vector<Point_d> points; + for (int i = 0 ; i < 500 ; ++i) + points.push_back(Point_d(rd.get_double(-1.,1),rd.get_double(-1.,1),rd.get_double(-1.,1),rd.get_double(-1.,1))); + + K k; + std::vector<Point_d> results; + Gudhi::subsampling::sparsify_point_set(k, points, 0.5, std::back_inserter(results)); + std::cout << "Before sparsification: " << points.size() << " points.\n"; + std::cout << "After sparsification: " << results.size() << " points.\n"; + //for (auto p : results) + // std::cout << p << "\n"; + + BOOST_CHECK(points.size() > results.size()); +} |