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Diffstat (limited to 'example/Persistence_representations/persistence_intervals.cpp')
-rw-r--r-- | example/Persistence_representations/persistence_intervals.cpp | 89 |
1 files changed, 0 insertions, 89 deletions
diff --git a/example/Persistence_representations/persistence_intervals.cpp b/example/Persistence_representations/persistence_intervals.cpp deleted file mode 100644 index b5dcf25c..00000000 --- a/example/Persistence_representations/persistence_intervals.cpp +++ /dev/null @@ -1,89 +0,0 @@ -/* 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) 2016 Inria - * - * 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/>. - */ - -#include <gudhi/Persistence_intervals.h> - -#include <iostream> -#include <utility> -#include <vector> - -using Persistence_intervals = Gudhi::Persistence_representations::Persistence_intervals; - -int main(int argc, char** argv) { - if (argc != 2) { - std::cout << "To run this program, please provide the name of a file with persistence diagram \n"; - return 1; - } - - Persistence_intervals p(argv[1]); - std::pair<double, double> min_max_ = p.get_x_range(); - std::cout << "Birth-death range : " << min_max_.first << " " << min_max_.second << std::endl; - - 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; - } - - return 0; -} |