1 files changed, 0 insertions, 87 deletions
diff --git a/src/cython/example/rips_complex_diagram_persistence_from_correlation_matrix_file_example.py b/src/cython/example/rips_complex_diagram_persistence_from_correlation_matrix_file_example.py
deleted file mode 100755
index 3571580b..00000000
--- a/src/cython/example/rips_complex_diagram_persistence_from_correlation_matrix_file_example.py
+++ /dev/null
@@ -1,87 +0,0 @@
-#!/usr/bin/env python
-
-import gudhi
-import sys
-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) 2017 Inria
-
-    Modification(s):
-      - YYYY/MM Author: Description of the modification
-"""
-
-__author__ = "Vincent Rouvreau"
-__copyright__ = "Copyright (C) 2017 Inria"
-__license__ = "MIT"
-
-parser = argparse.ArgumentParser(
-    description="RipsComplex creation from " "a correlation matrix read in a csv file.",
-    epilog="Example: "
-    "example/rips_complex_diagram_persistence_from_correlation_matrix_file_example.py "
-    "-f ../data/correlation_matrix/lower_triangular_correlation_matrix.csv -e 12.0 -d 3"
-    "- Constructs a Rips complex with the "
-    "correlation matrix from the given csv file.",
-)
-parser.add_argument("-f", "--file", type=str, required=True)
-parser.add_argument("-c", "--min_edge_correlation", type=float, default=0.5)
-parser.add_argument("-d", "--max_dimension", type=int, default=1)
-parser.add_argument("-b", "--band", type=float, default=0.0)
-parser.add_argument(
-    "--no-diagram",
-    default=False,
-    action="store_true",
-    help="Flag for not to display the diagrams",
-)
-
-args = parser.parse_args()
-
-if not (-1.0 < args.min_edge_correlation < 1.0):
-    print("Wrong value of the treshold corelation (should be between -1 and 1).")
-    sys.exit(1)
-
-print("#####################################################################")
-print("Caution: as persistence diagrams points will be under the diagonal,")
-print("bottleneck distance and persistence graphical tool will not work")
-print("properly, this is a known issue.")
-
-print("#####################################################################")
-print("RipsComplex creation from correlation matrix read in a csv file")
-
-message = "RipsComplex with min_edge_correlation=" + repr(args.min_edge_correlation)
-print(message)
-
-correlation_matrix = gudhi.read_lower_triangular_matrix_from_csv_file(
-    csv_file=args.file
-)
-# Given a correlation matrix M, we compute component-wise M'[i,j] = 1-M[i,j] to get a distance matrix:
-distance_matrix = [
-    [1.0 - correlation_matrix[i][j] for j in range(len(correlation_matrix[i]))]
-    for i in range(len(correlation_matrix))
-]
-
-rips_complex = gudhi.RipsComplex(
-    distance_matrix=distance_matrix, max_edge_length=1.0 - args.min_edge_correlation
-)
-simplex_tree = rips_complex.create_simplex_tree(max_dimension=args.max_dimension)
-
-message = "Number of simplices=" + repr(simplex_tree.num_simplices())
-print(message)
-
-diag = simplex_tree.persistence()
-
-print("betti_numbers()=")
-print(simplex_tree.betti_numbers())
-
-# invert the persistence diagram
-invert_diag = [
-    (diag[pers][0], (1.0 - diag[pers][1][0], 1.0 - diag[pers][1][1]))
-    for pers in range(len(diag))
-]
-
-if args.no_diagram == False:
-    pplot = gudhi.plot_persistence_diagram(invert_diag, band=args.band)
-    pplot.show()