Format Python files with black

1 files changed, 14 insertions, 11 deletions

diff --git a/src/cython/example/random_cubical_complex_persistence_example.py b/src/cython/example/random_cubical_complex_persistence_example.py
index 12db3f41..da0eb177 100755
--- a/src/cython/example/random_cubical_complex_persistence_example.py
+++ b/src/cython/example/random_cubical_complex_persistence_example.py
@@ -21,23 +21,26 @@ __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')
+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: 
+if dimension_multiplication > 1:
     print("#####################################################################")
     print("CubicalComplex creation")
-    cubical_complex = gudhi.CubicalComplex(dimensions=args.dimension,
-                                           top_dimensional_cells = numpy.random.rand(dimension_multiplication))
+    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))