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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): Mathieu Carrière
*
* Copyright (C) 2017 Inria
*
* Modification(s):
* - YYYY/MM Author: Description of the modification
*/
#define BOOST_TEST_DYN_LINK
#define BOOST_TEST_MODULE "graph_induced_complex"
#include <boost/test/unit_test.hpp>
#include <limits>
#include <string>
#include <vector>
#include <gudhi/GIC.h>
#include <gudhi/distance_functions.h>
#include <gudhi/reader_utils.h>
BOOST_AUTO_TEST_CASE(check_nerve) {
using Point = std::vector<float>;
Gudhi::cover_complex::Cover_complex<Point> N;
N.set_type("Nerve");
std::string cloud_file_name("data/cloud");
N.read_point_cloud(cloud_file_name);
N.set_color_from_coordinate();
std::string graph_file_name("data/graph");
N.set_graph_from_file(graph_file_name);
std::string cover_file_name("data/cover");
N.set_cover_from_file(cover_file_name);
N.find_simplices();
Gudhi::Simplex_tree<> stree;
N.create_complex(stree);
BOOST_CHECK(stree.num_vertices() == 3);
BOOST_CHECK((stree.num_simplices() - stree.num_vertices()) == 0);
BOOST_CHECK(stree.dimension() == 0);
}
BOOST_AUTO_TEST_CASE(check_GIC) {
using Point = std::vector<float>;
Gudhi::cover_complex::Cover_complex<Point> GIC;
GIC.set_type("GIC");
std::string cloud_file_name("data/cloud");
GIC.read_point_cloud(cloud_file_name);
GIC.set_color_from_coordinate();
std::string graph_file_name("data/graph");
GIC.set_graph_from_file(graph_file_name);
std::string cover_file_name("data/cover");
GIC.set_cover_from_file(cover_file_name);
GIC.find_simplices();
Gudhi::Simplex_tree<> stree;
GIC.create_complex(stree);
BOOST_CHECK(stree.num_vertices() == 3);
BOOST_CHECK((stree.num_simplices() - stree.num_vertices()) == 4);
BOOST_CHECK(stree.dimension() == 2);
}
BOOST_AUTO_TEST_CASE(check_voronoiGIC) {
using Point = std::vector<float>;
Gudhi::cover_complex::Cover_complex<Point> GIC;
GIC.set_type("GIC");
std::string cloud_file_name("data/cloud");
GIC.read_point_cloud(cloud_file_name);
GIC.set_color_from_coordinate();
std::string graph_file_name("data/graph");
GIC.set_graph_from_file(graph_file_name);
GIC.set_cover_from_Voronoi(Gudhi::Euclidean_distance(), 2);
GIC.find_simplices();
Gudhi::Simplex_tree<> stree;
GIC.create_complex(stree);
BOOST_CHECK(stree.num_vertices() == 2);
BOOST_CHECK((stree.num_simplices() - stree.num_vertices()) == 1);
BOOST_CHECK(stree.dimension() == 1);
}
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