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author | ROUVREAU Vincent <vincent.rouvreau@inria.fr> | 2019-09-09 16:03:40 +0200 |
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committer | ROUVREAU Vincent <vincent.rouvreau@inria.fr> | 2019-09-09 16:03:40 +0200 |
commit | 68753b3c28321e28eedd5829c94234da84e25c8d (patch) | |
tree | 36003a30309b3203b41092ad4d7ee8fa78551452 /src/python/example/random_cubical_complex_persistence_example.py | |
parent | dcbdaa0dc00eb069d1a13575f22c0a2f7d63dcc8 (diff) |
Code review: rename cython as python (make target and directory
Diffstat (limited to 'src/python/example/random_cubical_complex_persistence_example.py')
-rwxr-xr-x | src/python/example/random_cubical_complex_persistence_example.py | 49 |
1 files changed, 49 insertions, 0 deletions
diff --git a/src/python/example/random_cubical_complex_persistence_example.py b/src/python/example/random_cubical_complex_persistence_example.py new file mode 100755 index 00000000..da0eb177 --- /dev/null +++ b/src/python/example/random_cubical_complex_persistence_example.py @@ -0,0 +1,49 @@ +#!/usr/bin/env python + +import gudhi +import numpy +from functools import reduce +import argparse +import operator + + +""" 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 + + Copyright (C) 2016 Inria + + Modification(s): + - YYYY/MM Author: Description of the modification +""" + +__author__ = "Vincent Rouvreau" +__copyright__ = "Copyright (C) 2016 Inria" +__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: + 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()) |