/* 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 (France)
*
* 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
#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;
}