1 files changed, 49 insertions, 0 deletions
diff --git a/src/python/example/random_cubical_complex_persistence_example.py b/src/python/example/random_cubical_complex_persistence_example.py
new file mode 100755
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+++ b/src/python/example/random_cubical_complex_persistence_example.py
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+#!/usr/bin/env python
+
+import gudhi
+import numpy
+from functools import reduce
+import argparse
+import operator
+
+
+""" 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="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())