diff options
Diffstat (limited to 'src/cython/example/witness_complex_from_nearest_landmark_table.py')
| -rwxr-xr-x | src/cython/example/witness_complex_from_nearest_landmark_table.py | 38 |
1 files changed, 14 insertions, 24 deletions
diff --git a/src/cython/example/witness_complex_from_nearest_landmark_table.py b/src/cython/example/witness_complex_from_nearest_landmark_table.py index 1b79d9b2..c04a82b2 100755 --- a/src/cython/example/witness_complex_from_nearest_landmark_table.py +++ b/src/cython/example/witness_complex_from_nearest_landmark_table.py @@ -2,39 +2,29 @@ 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. +""" This file is part of the Gudhi Library - https://gudhi.inria.fr/ - which is released under MIT. + See file LICENSE or go to https://gudhi.inria.fr/licensing/ for full license details. + Author(s): Vincent Rouvreau - Author(s): Vincent Rouvreau + Copyright (C) 2016 Inria - 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/>. + Modification(s): + - YYYY/MM Author: Description of the modification """ __author__ = "Vincent Rouvreau" __copyright__ = "Copyright (C) 2016 Inria" -__license__ = "GPL v3" +__license__ = "MIT" print("#####################################################################") print("WitnessComplex creation from nearest landmark table") -nearest_landmark_table = [[[0, 0.0], [1, 0.1], [2, 0.2], [3, 0.3], [4, 0.4]], - [[1, 0.0], [2, 0.1], [3, 0.2], [4, 0.3], [0, 0.4]], - [[2, 0.0], [3, 0.1], [4, 0.2], [0, 0.3], [1, 0.4]], - [[3, 0.0], [4, 0.1], [0, 0.2], [1, 0.3], [2, 0.4]], - [[4, 0.0], [0, 0.1], [1, 0.2], [2, 0.3], [3, 0.4]]] +nearest_landmark_table = [ + [[0, 0.0], [1, 0.1], [2, 0.2], [3, 0.3], [4, 0.4]], + [[1, 0.0], [2, 0.1], [3, 0.2], [4, 0.3], [0, 0.4]], + [[2, 0.0], [3, 0.1], [4, 0.2], [0, 0.3], [1, 0.4]], + [[3, 0.0], [4, 0.1], [0, 0.2], [1, 0.3], [2, 0.4]], + [[4, 0.0], [0, 0.1], [1, 0.2], [2, 0.3], [3, 0.4]], +] witness_complex = StrongWitnessComplex(nearest_landmark_table=nearest_landmark_table) simplex_tree = witness_complex.create_simplex_tree(max_alpha_square=0.41) |