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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): Vincent Rouvreau
+ *
+ * Copyright (C) 2015 INRIA Saclay (France)
+ *
+ * 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/>.
+ */
+
+#include <gudhi/Points_off_io.h>
+
+#include <iostream>
+#include <string>
+#include <vector>
+
+#define BOOST_TEST_DYN_LINK
+#define BOOST_TEST_MODULE "points_off_read_write"
+#include <boost/test/unit_test.hpp>
+
+using Point_d = std::vector<double>;
+
+BOOST_AUTO_TEST_CASE( points_doc_test )
+{
+ // Read the OFF file (input file name given as parameter) and triangulates points
+ Gudhi::Points_off_reader<Point_d> off_reader("alphacomplexdoc.off");
+ // Check the read operation was correct
+ BOOST_CHECK(off_reader.is_valid());
+
+ // Retrieve the triangulation
+ std::vector<Point_d> point_cloud = off_reader.get_point_cloud();
+ BOOST_CHECK(point_cloud.size() == 7);
+
+ std::vector<Point_d> expected_points;
+ std::vector<double> point = {1.0, 1.0};
+ expected_points.push_back(Point_d(point.begin(), point.end()));
+ point = {7.0, 0.0};
+ expected_points.push_back(Point_d(point.begin(), point.end()));
+ point = {4.0, 6.0};
+ expected_points.push_back(Point_d(point.begin(), point.end()));
+ point = {9.0, 6.0};
+ expected_points.push_back(Point_d(point.begin(), point.end()));
+ point = {0.0, 14.0};
+ expected_points.push_back(Point_d(point.begin(), point.end()));
+ point = {2.0, 19.0};
+ expected_points.push_back(Point_d(point.begin(), point.end()));
+ point = {9.0, 17.0};
+ expected_points.push_back(Point_d(point.begin(), point.end()));
+
+ BOOST_CHECK(point_cloud == expected_points);
+}
+
+BOOST_AUTO_TEST_CASE( Delaunay_triangulation_unexisting_file_read_test )
+{
+ Gudhi::Points_off_reader<Point_d> off_reader("some_impossible_weird_file_name.off");
+ // Check the read operation was correct
+ BOOST_CHECK(!off_reader.is_valid());
+
+ std::vector<Point_d> point_cloud = off_reader.get_point_cloud();
+ BOOST_CHECK(point_cloud.size() == 0);
+}