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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) 2018 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/>.
*/
#ifndef INCLUDE_NERVE_GIC_INTERFACE_H_
#define INCLUDE_NERVE_GIC_INTERFACE_H_
#include <gudhi/Simplex_tree.h>
#include <gudhi/distance_functions.h>
#include <gudhi/GIC.h>
#include "Simplex_tree_interface.h"
#include <iostream>
#include <vector>
#include <string>
namespace Gudhi {
namespace cover_complex {
class Nerve_gic_interface : public Cover_complex<std::vector<double>> {
public:
void create_simplex_tree(Simplex_tree_interface<>* simplex_tree) {
create_complex(*simplex_tree);
simplex_tree->initialize_filtration();
}
void set_cover_from_Euclidean_Voronoi(int m) {
set_cover_from_Voronoi(Gudhi::Euclidean_distance(), m);
}
double set_graph_from_automatic_euclidean_rips(int N) {
return set_graph_from_automatic_rips(Gudhi::Euclidean_distance(), N);
}
void set_graph_from_euclidean_rips(double threshold) {
set_graph_from_rips(threshold, Gudhi::Euclidean_distance());
}
};
} // namespace cover_complex
} // namespace Gudhi
#endif // INCLUDE_NERVE_GIC_INTERFACE_H_
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