1 files changed, 0 insertions, 58 deletions
diff --git a/cython/example/random_cubical_complex_persistence_example.py b/cython/example/random_cubical_complex_persistence_example.py
deleted file mode 100755
index 80ff2452..00000000
--- a/cython/example/random_cubical_complex_persistence_example.py
+++ /dev/null
@@ -1,58 +0,0 @@
-#!/usr/bin/env python
-
-import gudhi
-import numpy
-from functools import reduce
-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
-
-   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='Random cubical complex.',
-                                 epilog='Example: '
-                                 './random_cubical_complex_persistence_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())