diff options
Diffstat (limited to 'src/Subsampling/test/test_pick_n_random_points.cpp')
-rw-r--r-- | src/Subsampling/test/test_pick_n_random_points.cpp | 57 |
1 files changed, 57 insertions, 0 deletions
diff --git a/src/Subsampling/test/test_pick_n_random_points.cpp b/src/Subsampling/test/test_pick_n_random_points.cpp new file mode 100644 index 00000000..018fb8d2 --- /dev/null +++ b/src/Subsampling/test/test_pick_n_random_points.cpp @@ -0,0 +1,57 @@ +/* This file is part of the Gudhi Library - https://gudhi.inria.fr/ - which is released under MIT. + * See file LICENSE or go to https://gudhi.inria.fr/licensing/ for full license details. + * Author(s): Siargey Kachanovich + * + * Copyright (C) 2016 Inria + * + * Modification(s): + * - YYYY/MM Author: Description of the modification + */ + +// #ifdef _DEBUG +// # define TBB_USE_THREADING_TOOL +// #endif + +#define BOOST_TEST_DYN_LINK +#define BOOST_TEST_MODULE Subsampling - test pick_n_random_points +#include <boost/test/unit_test.hpp> + +#include <gudhi/pick_n_random_points.h> +#include <vector> +#include <iterator> + +#include <CGAL/Epick_d.h> + + +BOOST_AUTO_TEST_CASE(test_pick_n_random_points) +{ + typedef CGAL::Epick_d<CGAL::Dynamic_dimension_tag> K; + typedef typename K::FT FT; + typedef typename K::Point_d Point_d; + + std::vector<Point_d> vect; + vect.push_back(Point_d(std::vector<FT>({0,0,0,0}))); + vect.push_back(Point_d(std::vector<FT>({0,0,0,1}))); + vect.push_back(Point_d(std::vector<FT>({0,0,1,0}))); + vect.push_back(Point_d(std::vector<FT>({0,0,1,1}))); + vect.push_back(Point_d(std::vector<FT>({0,1,0,0}))); + vect.push_back(Point_d(std::vector<FT>({0,1,0,1}))); + vect.push_back(Point_d(std::vector<FT>({0,1,1,0}))); + vect.push_back(Point_d(std::vector<FT>({0,1,1,1}))); + vect.push_back(Point_d(std::vector<FT>({1,0,0,0}))); + vect.push_back(Point_d(std::vector<FT>({1,0,0,1}))); + vect.push_back(Point_d(std::vector<FT>({1,0,1,0}))); + vect.push_back(Point_d(std::vector<FT>({1,0,1,1}))); + vect.push_back(Point_d(std::vector<FT>({1,1,0,0}))); + vect.push_back(Point_d(std::vector<FT>({1,1,0,1}))); + vect.push_back(Point_d(std::vector<FT>({1,1,1,0}))); + vect.push_back(Point_d(std::vector<FT>({1,1,1,1}))); + + std::vector<Point_d> results; + Gudhi::subsampling::pick_n_random_points(vect, 5, std::back_inserter(results)); + std::cout << "landmark vector contains: "; + for (auto l: results) + std::cout << l << "\n"; + + BOOST_CHECK(results.size() == 5); +} |