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Diffstat (limited to 'src/cython/example/alpha_rips_persistence_bottleneck_distance.py')
-rwxr-xr-x | src/cython/example/alpha_rips_persistence_bottleneck_distance.py | 105 |
1 files changed, 0 insertions, 105 deletions
diff --git a/src/cython/example/alpha_rips_persistence_bottleneck_distance.py b/src/cython/example/alpha_rips_persistence_bottleneck_distance.py deleted file mode 100755 index 086307ee..00000000 --- a/src/cython/example/alpha_rips_persistence_bottleneck_distance.py +++ /dev/null @@ -1,105 +0,0 @@ -#!/usr/bin/env python - -import gudhi -import argparse -import math - -""" 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="AlphaComplex and RipsComplex " - "persistence creation from points read in " - "a OFF file. Bottleneck distance computation" - " on each dimension", - epilog="Example: " - "example/alpha_rips_persistence_bottleneck_distance.py " - "-f ../data/points/tore3D_1307.off -t 0.15 -d 3", -) -parser.add_argument("-f", "--file", type=str, required=True) -parser.add_argument("-t", "--threshold", type=float, default=0.5) -parser.add_argument("-d", "--max_dimension", type=int, default=1) - -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"): - point_cloud = gudhi.read_off(off_file=args.file) - print("#####################################################################") - print("RipsComplex creation from points read in a OFF file") - - message = "RipsComplex with max_edge_length=" + repr(args.threshold) - print(message) - - rips_complex = gudhi.RipsComplex( - points=point_cloud, max_edge_length=args.threshold - ) - - rips_stree = rips_complex.create_simplex_tree(max_dimension=args.max_dimension) - - message = "Number of simplices=" + repr(rips_stree.num_simplices()) - print(message) - - rips_diag = rips_stree.persistence() - - print("#####################################################################") - print("AlphaComplex creation from points read in a OFF file") - - message = "AlphaComplex with max_edge_length=" + repr(args.threshold) - print(message) - - alpha_complex = gudhi.AlphaComplex(points=point_cloud) - alpha_stree = alpha_complex.create_simplex_tree( - max_alpha_square=(args.threshold * args.threshold) - ) - - message = "Number of simplices=" + repr(alpha_stree.num_simplices()) - print(message) - - alpha_diag = alpha_stree.persistence() - - max_b_distance = 0.0 - for dim in range(args.max_dimension): - # Alpha persistence values needs to be transform because filtration - # values are alpha square values - funcs = [math.sqrt, math.sqrt] - alpha_intervals = [] - for interval in alpha_stree.persistence_intervals_in_dimension(dim): - alpha_intervals.append( - map(lambda func, value: func(value), funcs, interval) - ) - - rips_intervals = rips_stree.persistence_intervals_in_dimension(dim) - bottleneck_distance = gudhi.bottleneck_distance( - rips_intervals, alpha_intervals - ) - message = ( - "In dimension " - + repr(dim) - + ", bottleneck distance = " - + repr(bottleneck_distance) - ) - print(message) - max_b_distance = max(bottleneck_distance, max_b_distance) - - print( - "================================================================================" - ) - message = "Bottleneck distance is " + repr(max_b_distance) - print(message) - - else: - print(args.file, "is not a valid OFF file") - - f.close() |