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diff --git a/utilities/Nerve_GIC/VoronoiGIC.cpp b/utilities/Nerve_GIC/VoronoiGIC.cpp
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--- a/utilities/Nerve_GIC/VoronoiGIC.cpp
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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
- *
- * 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/GIC.h>
-
-#include <string>
-#include <vector>
-
-void usage(int nbArgs, char *const progName) {
- std::cerr << "Error: Number of arguments (" << nbArgs << ") is not correct\n";
- std::cerr << "Usage: " << progName << " filename.off N [-v] \n";
- std::cerr << " i.e.: " << progName << " ../../data/points/human.off 100 -v \n";
- exit(-1); // ----- >>
-}
-
-int main(int argc, char **argv) {
- if ((argc != 3) && (argc != 4)) usage(argc, argv[0]);
-
- using Point = std::vector<float>;
-
- std::string off_file_name(argv[1]);
- int m = atoi(argv[2]);
- bool verb = 0;
- if (argc == 4) verb = 1;
-
- // ----------------------------------------------------------------------------
- // Init of a graph induced complex from an OFF file
- // ----------------------------------------------------------------------------
-
- Gudhi::cover_complex::Cover_complex<Point> GIC;
- GIC.set_verbose(verb);
-
- bool check = GIC.read_point_cloud(off_file_name);
-
- if (!check) {
- std::cout << "Incorrect OFF file." << std::endl;
- } else {
- GIC.set_type("GIC");
-
- GIC.set_color_from_coordinate();
-
- GIC.set_graph_from_OFF();
- GIC.set_cover_from_Voronoi(Gudhi::Euclidean_distance(), m);
-
- GIC.find_simplices();
-
- GIC.plot_OFF();
-
- Gudhi::Simplex_tree<> stree;
- GIC.create_complex(stree);
-
- // ----------------------------------------------------------------------------
- // Display information about the graph induced complex
- // ----------------------------------------------------------------------------
-
- if (verb) {
- std::cout << "Graph induced complex is of dimension " << stree.dimension() << " - " << stree.num_simplices()
- << " simplices - " << stree.num_vertices() << " vertices." << std::endl;
-
- std::cout << "Iterator on graph induced complex simplices" << std::endl;
- for (auto f_simplex : stree.filtration_simplex_range()) {
- for (auto vertex : stree.simplex_vertex_range(f_simplex)) {
- std::cout << vertex << " ";
- }
- std::cout << std::endl;
- }
- }
- }
-
- return 0;
-}