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

1 files changed, 0 insertions, 69 deletions

diff --git a/src/cython/example/functional_graph_induced_complex.py b/src/cython/example/functional_graph_induced_complex.py
deleted file mode 100755
index 8b645040..00000000
--- a/src/cython/example/functional_graph_induced_complex.py
+++ /dev/null
@@ -1,69 +0,0 @@
-#!/usr/bin/env python
-
-import gudhi
-import argparse
-
-""" 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) 2018 Inria
-
-    Modification(s):
-      - YYYY/MM Author: Description of the modification
-"""
-
-__author__ = "Vincent Rouvreau"
-__copyright__ = "Copyright (C) 2018 Inria"
-__license__ = "MIT"
-
-parser = argparse.ArgumentParser(
-    description="Functional GIC " "from points read in a OFF file.",
-    epilog="Example: "
-    "example/functional_graph_induced_complex.py "
-    "-o ../data/points/COIL_database/lucky_cat.off "
-    "-f ../data/points/COIL_database/lucky_cat_PCA1"
-    "- Constructs the functional GIC with the "
-    "points from the given OFF and function files.",
-)
-parser.add_argument("-o", "--off-file", type=str, required=True)
-parser.add_argument("-f", "--function-file", type=str, required=True)
-parser.add_argument(
-    "-v",
-    "--verbose",
-    default=False,
-    action="store_true",
-    help="Flag for program verbosity",
-)
-
-args = parser.parse_args()
-
-nerve_complex = gudhi.CoverComplex()
-nerve_complex.set_verbose(args.verbose)
-
-if nerve_complex.read_point_cloud(args.off_file):
-    nerve_complex.set_type("GIC")
-    nerve_complex.set_color_from_file(args.function_file)
-    nerve_complex.set_function_from_file(args.function_file)
-    nerve_complex.set_graph_from_automatic_rips()
-    nerve_complex.set_automatic_resolution()
-    nerve_complex.set_gain()
-    nerve_complex.set_cover_from_function()
-    nerve_complex.find_simplices()
-    nerve_complex.plot_dot()
-    simplex_tree = nerve_complex.create_simplex_tree()
-    nerve_complex.compute_PD()
-    if args.verbose:
-        print("Iterator on functional GIC simplices")
-        result_str = (
-            "Functional GIC is of dimension "
-            + repr(simplex_tree.dimension())
-            + " - "
-            + repr(simplex_tree.num_simplices())
-            + " simplices - "
-            + repr(simplex_tree.num_vertices())
-            + " vertices."
-        )
-        print(result_str)
-        for filtered_value in simplex_tree.get_filtration():
-            print(filtered_value[0])