/* 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 . */ #include #include #include #include #include using Persistence_intervals = Gudhi::Persistence_representations::Persistence_intervals; int main(int argc, char** argv) { std::cout << "This program compute the dominant intervals. A number of intervals to be displayed is a parameter of " "this program. \n"; if (argc != 4) { std::cout << "To run this program, please provide the name of a file with persistence diagram, dimension of " "intervals that should be taken into account (if your file contains only persistence pairs in a " "single dimension, set it up to -1) and number of dominant intervals you would like to get \n"; return 1; } int dim = atoi(argv[2]); unsigned dimension = std::numeric_limits::max(); if (dim >= 0) { dimension = (unsigned)dim; } Persistence_intervals p(argv[1], dimension); std::vector > dominant_intervals = p.dominant_intervals(atoi(argv[3])); std::cout << "Here are the dominant intervals : " << std::endl; for (size_t i = 0; i != dominant_intervals.size(); ++i) { std::cout << " " << dominant_intervals[i].first << "," << dominant_intervals[i].second << " " << std::endl; } return 0; }