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diff --git a/src/cython/example/persistence_representations_diagrams_example.py b/src/cython/example/persistence_representations_diagrams_example.py
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--- a/src/cython/example/persistence_representations_diagrams_example.py
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@@ -1,70 +0,0 @@
-#!/usr/bin/env python
-
-import gudhi
-import argparse
-
-"""This file is part of the Gudhi Library. The Gudhi library
- (Geometric Understanding in Higher Dimensions) is a generic C++
- library for computational topology.
-
- Author(s): Pawel Dlotko
-
- Copyright (C) 2017 Swansea University
-
- This program is free software: you can redistribute it and/or modify
- it under the terms of the GNU General Public License as published by
- the Free Software Foundation, either version 3 of the License, or
- (at your option) any later version.
-
- This program is distributed in the hope that it will be useful,
- but WITHOUT ANY WARRANTY; without even the implied warranty of
- MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
- GNU General Public License for more details.
-
- You should have received a copy of the GNU General Public License
- along with this program. If not, see <http://www.gnu.org/licenses/>.
-"""
-
-__author__ = "Pawel Dlotko"
-__copyright__ = "Copyright (C) 2017 Swansea University"
-__license__ = "GPL v3"
-
-print("#####################################################################")
-print("Persistence representations diagrams example")
-
-
-parser = argparse.ArgumentParser(description='Statistics of persistence diagrams from file ',
- epilog='Example: '
- 'example/persistence_representations_diagrams_example.py '
- '-f file_with_diagram -d 1')
-parser.add_argument("-f", "--file", type=str, required=True)
-parser.add_argument("-d", "--dimension", type=int, default=0)
-
-args = parser.parse_args()
-
-print "Here are the parameters of the program: ",args.file," , " ,args.dimension
-
-p = gudhi.PersistenceIntervals(None,args.dimension,args.file);
-min_max_ = p.get_x_range();
-print "Birth-death range : ", min_max_
-
-dominant_ten_intervals_length = p.length_of_dominant_intervals(10)
-print "Length of ten dominant intervals : ", dominant_ten_intervals_length
-
-ten_dominant_intervals = p.dominant_intervals(10);
-print "Here are the dominant intervals : " , ten_dominant_intervals
-
-histogram = p.histogram_of_lengths(10);
-print "Here is the histogram of barcode's length : ", histogram
-
-cumulative_histogram = p.cumulative_histogram_of_lengths(10)
-print "Cumulative histogram : " ,cumulative_histogram
-
-char_funct_diag = p.characteristic_function_of_diagram(min_max_[0], min_max_[1],None)
-print "Characteristic function of diagram : ",char_funct_diag
-
-cumul_char_funct_diag = p.cumulative_characteristic_function_of_diagram(min_max_[0], min_max_[1],None)
-print "Cumulative characteristic function of diagram : ",cumul_char_funct_diag
-
-pbns = p.compute_persistent_betti_numbers()
-print "Persistence Betti numbers ", pbns