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authorpdlotko <pdlotko@636b058d-ea47-450e-bf9e-a15bfbe3eedb>2017-08-22 13:09:08 +0000
committerpdlotko <pdlotko@636b058d-ea47-450e-bf9e-a15bfbe3eedb>2017-08-22 13:09:08 +0000
commit40db1989840aa9e485233354853ad09239272ad7 (patch)
tree0ccf6a7779943babf7b496e8f442fe3162f760dd /src/cython/example/persistence_representations_diagrams_example.py
parente2c0166fcbf17e91cf5ed7b6159f80d64b49cc0b (diff)
First version of persistence diagrams cytonization that compiles (and create strange behavior)
git-svn-id: svn+ssh://scm.gforge.inria.fr/svnroot/gudhi/branches/persistence_representation_integration@2615 636b058d-ea47-450e-bf9e-a15bfbe3eedb Former-commit-id: 0a2a8ea77c654968e3be476c118f9cd3db0e9570
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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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+#!/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 od 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(args.file,args.dimension);
+min_max_ = p.get_x_range();
+print( "Birth-death range : ", min_max_)
+"""
+std::vector<double> dominant_ten_intervals_length = p.length_of_dominant_intervals(10);
+std::cout << "Length of ten dominant intervals : " << std::endl;
+for (size_t i = 0; i != dominant_ten_intervals_length.size(); ++i) {
+std::cout << dominant_ten_intervals_length[i] << std::endl;
+}
+
+std::vector<std::pair<double, double> > ten_dominant_intervals = p.dominant_intervals(10);
+std::cout << "Here are the dominant intervals : " << std::endl;
+for (size_t i = 0; i != ten_dominant_intervals.size(); ++i) {
+std::cout << "( " << ten_dominant_intervals[i].first << "," << ten_dominant_intervals[i].second << std::endl;
+}
+
+std::vector<size_t> histogram = p.histogram_of_lengths(10);
+std::cout << "Here is the histogram of barcode's length : " << std::endl;
+for (size_t i = 0; i != histogram.size(); ++i) {
+std::cout << histogram[i] << " ";
+}
+std::cout << std::endl;
+
+std::vector<size_t> cumulative_histogram = p.cumulative_histogram_of_lengths(10);
+std::cout << "Cumulative histogram : " << std::endl;
+for (size_t i = 0; i != cumulative_histogram.size(); ++i) {
+std::cout << cumulative_histogram[i] << " ";
+}
+std::cout << std::endl;
+
+std::vector<double> char_funct_diag = p.characteristic_function_of_diagram(min_max_.first, min_max_.second);
+std::cout << "Characteristic function of diagram : " << std::endl;
+for (size_t i = 0; i != char_funct_diag.size(); ++i) {
+std::cout << char_funct_diag[i] << " ";
+}
+std::cout << std::endl;
+
+std::vector<double> cumul_char_funct_diag =
+ p.cumulative_characteristic_function_of_diagram(min_max_.first, min_max_.second);
+std::cout << "Cumulative characteristic function of diagram : " << std::endl;
+for (size_t i = 0; i != cumul_char_funct_diag.size(); ++i) {
+std::cout << cumul_char_funct_diag[i] << " ";
+}
+std::cout << std::endl;
+
+std::cout << "Persistence Betti numbers \n";
+std::vector<std::pair<double, size_t> > pbns = p.compute_persistent_betti_numbers();
+for (size_t i = 0; i != pbns.size(); ++i) {
+std::cout << pbns[i].first << " " << pbns[i].second << std::endl;
+}
+"""