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diff --git a/src/cython/example/euclidean_strong_witness_complex_diagram_persistence_from_off_file_example.py b/src/cython/example/euclidean_strong_witness_complex_diagram_persistence_from_off_file_example.py
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--- a/src/cython/example/euclidean_strong_witness_complex_diagram_persistence_from_off_file_example.py
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@@ -1,83 +0,0 @@
-#!/usr/bin/env python
-
-import gudhi
-import argparse
-
-""" 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="EuclideanStrongWitnessComplex creation from "
- "points read in a OFF file.",
- epilog="Example: "
- "example/euclidean_strong_witness_complex_diagram_persistence_from_off_file_example.py "
- "-f ../data/points/tore3D_300.off -a 1.0 -n 20 -d 2"
- "- Constructs a strong 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("-b", "--band", type=float, default=0.0)
-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("EuclideanStrongWitnessComplex 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 = (
- "EuclideanStrongWitnessComplex with max_edge_length="
- + repr(args.max_alpha_square)
- + " - Number of landmarks="
- + repr(args.number_of_landmarks)
- )
- print(message)
-
- witness_complex = gudhi.EuclideanStrongWitnessComplex(
- 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:
- pplot = gudhi.plot_persistence_diagram(diag, band=args.band)
- pplot.show()
- else:
- print(args.file, "is not a valid OFF file")
-
- f.close()