Renamed pick_random_points -> pick_n_random_points

git-svn-id: svn+ssh://scm.gforge.inria.fr/svnroot/gudhi/branches/subsampling_and_spatialsearching@1516 636b058d-ea47-450e-bf9e-a15bfbe3eedb

Former-commit-id: 45cc8cca9debf56dd0d21762e537649dd92d9a4d

1 files changed, 69 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..6c8dbea2
--- /dev/null
+++ b/src/Subsampling/test/test_pick_n_random_points.cpp
@@ -0,0 +1,69 @@
+/*    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 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);
+}