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/* 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
*
* Modification(s):
* - YYYY/MM Author: Description of the modification
*/
#include <gudhi/Persistence_intervals.h>
#include <iostream>
#include <limits>
#include <vector>
#include <utility>
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<unsigned>::max();
if (dim >= 0) {
dimension = (unsigned)dim;
}
Persistence_intervals p(argv[1], dimension);
std::vector<std::pair<double, double> > 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;
}
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