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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) 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/>.
+"""
+
+__author__ = "Vincent Rouvreau"
+__copyright__ = "Copyright (C) 2016 INRIA"
+__license__ = "GPL v3"
+
+parser = argparse.ArgumentParser(description='EuclideanWitnessComplex creation from '
+ 'points read in a OFF file.',
+ epilog='Example: '
+ 'example/euclidean_witness_complex_diagram_persistence_from_off_file_example.py '
+ '-f ../data/points/tore3D_300.off -a 1.0 -n 20 -d 2'
+ '- Constructs a weak witness complex with the '
+ 'points from the given OFF file.')
+parser.add_argument("-f", "--file", type=str, required=True)
+parser.add_argument("-a", "--max_alpha_square", type=float, required=True)
+parser.add_argument("-n", "--number_of_landmarks", type=int, required=True)
+parser.add_argument("-d", "--limit_dimension", type=int, required=True)
+parser.add_argument('--no-diagram', default=False, action='store_true' , help='Flag for not to display the diagrams')
+
+args = parser.parse_args()
+
+with open(args.file, 'r') as f:
+ first_line = f.readline()
+ if (first_line == 'OFF\n') or (first_line == 'nOFF\n'):
+ print("#####################################################################")
+ print("EuclideanWitnessComplex creation from points read in a OFF file")
+
+ witnesses = gudhi.read_off(off_file=args.file)
+ landmarks = gudhi.pick_n_random_points(points=witnesses, nb_points=args.number_of_landmarks)
+
+ message = "EuclideanWitnessComplex with max_edge_length=" + repr(args.max_alpha_square) + \
+ " - Number of landmarks=" + repr(args.number_of_landmarks)
+ print(message)
+
+ witness_complex = gudhi.EuclideanWitnessComplex(witnesses=witnesses, landmarks=landmarks)
+ simplex_tree = witness_complex.create_simplex_tree(max_alpha_square=args.max_alpha_square,
+ limit_dimension=args.limit_dimension)
+
+ message = "Number of simplices=" + repr(simplex_tree.num_simplices())
+ print(message)
+
+ diag = simplex_tree.persistence()
+
+ print("betti_numbers()=")
+ print(simplex_tree.betti_numbers())
+
+ if args.no_diagram == False:
+ gudhi.plot_persistence_diagram(diag)
+
+ else:
+ print(args.file, "is not a valid OFF file")
+
+ f.close()