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-rwxr-xr-xsrc/cython/example/random_cubical_complex_persistence_example.py53
1 files changed, 22 insertions, 31 deletions
diff --git a/src/cython/example/random_cubical_complex_persistence_example.py b/src/cython/example/random_cubical_complex_persistence_example.py
index 80ff2452..da0eb177 100755
--- a/src/cython/example/random_cubical_complex_persistence_example.py
+++ b/src/cython/example/random_cubical_complex_persistence_example.py
@@ -7,49 +7,40 @@ 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.
+""" 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"
-
-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')
+__license__ = "MIT"
+
+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:
+if dimension_multiplication > 1:
print("#####################################################################")
print("CubicalComplex creation")
- cubical_complex = gudhi.CubicalComplex(dimensions=args.dimension,
- top_dimensional_cells = numpy.random.rand(dimension_multiplication))
+ 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))