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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
*
* 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, 0.0};
expected_points.push_back(Point_d(point.begin(), point.end()));
point = {7.0, 0.0, 0.0};
expected_points.push_back(Point_d(point.begin(), point.end()));
point = {4.0, 6.0, 0.0};
expected_points.push_back(Point_d(point.begin(), point.end()));
point = {9.0, 6.0, 0.0};
expected_points.push_back(Point_d(point.begin(), point.end()));
point = {0.0, 14.0, 0.0};
expected_points.push_back(Point_d(point.begin(), point.end()));
point = {2.0, 19.0, 0.0};
expected_points.push_back(Point_d(point.begin(), point.end()));
point = {9.0, 17.0, 0.0};
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);
}
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