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Diffstat (limited to 'cython/example/random_cubical_complex_persistence_example.py')
-rwxr-xr-x | cython/example/random_cubical_complex_persistence_example.py | 58 |
1 files changed, 0 insertions, 58 deletions
diff --git a/cython/example/random_cubical_complex_persistence_example.py b/cython/example/random_cubical_complex_persistence_example.py deleted file mode 100755 index 80ff2452..00000000 --- a/cython/example/random_cubical_complex_persistence_example.py +++ /dev/null @@ -1,58 +0,0 @@ -#!/usr/bin/env python - -import gudhi -import numpy -from functools import reduce -import argparse -import operator - - -"""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" - -parser = argparse.ArgumentParser(description='Random cubical complex.', - epilog='Example: ' - './random_cubical_complex_persistence_example.py' - ' 10 10 10 - Constructs a random cubical ' - 'complex in a dimension [10, 10, 10] (aka. ' - '1000 random top dimensional cells).') -parser.add_argument('dimension', type=int, nargs="*", - help='Cubical complex dimensions') - -args = parser.parse_args() -dimension_multiplication = reduce(operator.mul, args.dimension, 1) - -if dimension_multiplication > 1: - print("#####################################################################") - print("CubicalComplex creation") - cubical_complex = gudhi.CubicalComplex(dimensions=args.dimension, - top_dimensional_cells = numpy.random.rand(dimension_multiplication)) - - print("persistence(homology_coeff_field=2, min_persistence=0)=") - print(cubical_complex.persistence(homology_coeff_field=2, min_persistence=0)) - - print("betti_numbers()=") - print(cubical_complex.betti_numbers()) |