Code review: rename cython as python (make target and directory

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()