From fd47a2d926e78d3b83e79da3c959fb73809d09e4 Mon Sep 17 00:00:00 2001 From: ROUVREAU Vincent Date: Wed, 26 Jun 2019 16:59:58 +0200 Subject: Format Python files with black --- .../random_cubical_complex_persistence_example.py | 25 ++++++++++++---------- 1 file changed, 14 insertions(+), 11 deletions(-) (limited to 'src/cython/example/random_cubical_complex_persistence_example.py') 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)) -- cgit v1.2.3