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_