diff options
Diffstat (limited to 'src/cython/example/sparse_rips_persistence_diagram.py')
-rwxr-xr-x | src/cython/example/sparse_rips_persistence_diagram.py | 31 |
1 files changed, 10 insertions, 21 deletions
diff --git a/src/cython/example/sparse_rips_persistence_diagram.py b/src/cython/example/sparse_rips_persistence_diagram.py index d58c244c..671d5e34 100755 --- a/src/cython/example/sparse_rips_persistence_diagram.py +++ b/src/cython/example/sparse_rips_persistence_diagram.py @@ -2,36 +2,25 @@ import gudhi -"""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): Marc Glisse + Copyright (C) 2018 Inria - 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/>. + Modification(s): + - YYYY/MM Author: Description of the modification """ __author__ = "Marc Glisse" __copyright__ = "Copyright (C) 2018 Inria" -__license__ = "GPL v3" +__license__ = "MIT" print("#####################################################################") print("Sparse RipsComplex creation from points") -rips = gudhi.RipsComplex(points=[[0, 0], [0, 0.1], [1, 0], [0, 1], [1, 1]], - max_edge_length=42, sparse=.5) +rips = gudhi.RipsComplex( + points=[[0, 0], [0, 0.1], [1, 0], [0, 1], [1, 1]], max_edge_length=42, sparse=0.5 +) simplex_tree = rips.create_simplex_tree(max_dimension=2) |