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#!/usr/bin/env python
import gudhi
import argparse
"""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) 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/>.
"""
__author__ = "Vincent Rouvreau"
__copyright__ = "Copyright (C) 2018 Inria"
__license__ = "GPL v3"
parser = argparse.ArgumentParser(description='Coordinate GIC '
'from points read in a OFF file.',
epilog='Example: '
'example/coordinate_graph_induced_complex.py '
'-f ../data/points/KleinBottle5D.off -c 0 -v'
'- Constructs the coordinate GIC with the '
'points from the given OFF file.')
parser.add_argument("-f", "--file", type=str, required=True)
parser.add_argument("-c", "--coordinate", type=int, default=0)
parser.add_argument("-v", "--verbose", default=False, action='store_true' , help='Flag for program verbosity')
args = parser.parse_args()
nerve_complex = gudhi.CoverComplex()
nerve_complex.set_verbose(args.verbose)
if (nerve_complex.read_point_cloud(args.file)):
nerve_complex.set_type('GIC')
nerve_complex.set_color_from_coordinate(args.coordinate)
nerve_complex.set_function_from_coordinate(args.coordinate)
nerve_complex.set_graph_from_automatic_rips()
nerve_complex.set_automatic_resolution()
nerve_complex.set_gain()
nerve_complex.set_cover_from_function()
nerve_complex.find_simplices()
nerve_complex.plot_dot()
simplex_tree = nerve_complex.create_simplex_tree()
nerve_complex.compute_PD()
if (args.verbose):
print('Iterator on coordinate GIC simplices')
result_str = 'Coordinate GIC is of dimension ' + \
repr(simplex_tree.dimension()) + ' - ' + \
repr(simplex_tree.num_simplices()) + ' simplices - ' + \
repr(simplex_tree.num_vertices()) + ' vertices.'
print(result_str)
for filtered_value in simplex_tree.get_filtration():
print(filtered_value[0])
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