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#!/usr/bin/env python
import gudhi
import numpy
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 Saclay (France)
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 Saclay (France)"
__license__ = "GPL v3"
parser = argparse.ArgumentParser(description='Random cubical complex.',
epilog='Example: '
'./random_cubical_complex_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())
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