1 files changed, 0 insertions, 46 deletions
diff --git a/cython/example/witness_complex_from_nearest_landmark_table.py b/cython/example/witness_complex_from_nearest_landmark_table.py
deleted file mode 100755
index e6b295ee..00000000
--- a/cython/example/witness_complex_from_nearest_landmark_table.py
+++ /dev/null
@@ -1,46 +0,0 @@
-#!/usr/bin/env python
-
-from gudhi import StrongWitnessComplex, SimplexTree
-
-"""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) 2016 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/>.
-"""
-
-__author__ = "Vincent Rouvreau"
-__copyright__ = "Copyright (C) 2016 Inria"
-__license__ = "GPL v3"
-
-print("#####################################################################")
-print("WitnessComplex creation from nearest landmark table")
-nearest_landmark_table = [[[0, 0], [1, 1], [2, 2], [3, 3], [4, 4]],
-                          [[1, 0], [2, 1], [3, 2], [4, 3], [0, 4]],
-                          [[2, 0], [3, 1], [4, 2], [0, 3], [1, 4]],
-                          [[3, 0], [4, 1], [0, 2], [1, 3], [2, 4]],
-                          [[4, 0], [0, 1], [1, 2], [2, 3], [3, 4]]]
-
-witness_complex = StrongWitnessComplex(nearest_landmark_table=nearest_landmark_table)
-simplex_tree = witness_complex.create_simplex_tree(max_alpha_square=4.1)
-
-message = "Number of simplices: " + repr(simplex_tree.num_simplices())
-print(message)
-
-diag = simplex_tree.persistence(min_persistence=-0.1, homology_coeff_field=11)
-print(diag)