diff options
Diffstat (limited to 'cython/include/Nerve_gic_interface.h')
-rw-r--r-- | cython/include/Nerve_gic_interface.h | 61 |
1 files changed, 0 insertions, 61 deletions
diff --git a/cython/include/Nerve_gic_interface.h b/cython/include/Nerve_gic_interface.h deleted file mode 100644 index aa71e2a6..00000000 --- a/cython/include/Nerve_gic_interface.h +++ /dev/null @@ -1,61 +0,0 @@ -/* 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_ |