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Diffstat (limited to 'cython/example/coordinate_graph_induced_complex.py')
| -rwxr-xr-x | cython/example/coordinate_graph_induced_complex.py | 68 |
1 files changed, 0 insertions, 68 deletions
diff --git a/cython/example/coordinate_graph_induced_complex.py b/cython/example/coordinate_graph_induced_complex.py deleted file mode 100755 index 9e93109a..00000000 --- a/cython/example/coordinate_graph_induced_complex.py +++ /dev/null @@ -1,68 +0,0 @@ -#!/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]) |