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/* This file is part of the Gudhi Library - https://gudhi.inria.fr/ - which is released under MIT.
* See file LICENSE or go to https://gudhi.inria.fr/licensing/ for full license details.
* 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 <vector>
#include <limits>
#include <utility>
using Persistence_intervals = Gudhi::Persistence_representations::Persistence_intervals;
int main(int argc, char** argv) {
std::clog << "This program computes a histogram of barcode's length. A number of bins in the histogram is a "
<< "parameter of this program. \n";
if ((argc != 3) && (argc != 4)) {
std::clog << "To run this program, please provide the name of a file with persistence diagram and number of "
<< "dominant intervals you would like to get. Set a negative number dominant intervals value "
<< "If your file contains only birth-death pairs.\n"
<< "The third parameter is the dimension of the persistence that is to be used. If your "
<< "file contains only birth-death pairs, you can skip this parameter\n";
return 1;
}
unsigned dominant_interval_number = std::numeric_limits<unsigned>::max();
int nbr = atoi(argv[2]);
if (nbr >= 0) {
dominant_interval_number = static_cast<unsigned>(nbr);
}
int persistence_dimension = -1;
if (argc == 4) {
persistence_dimension = atoi(argv[3]);
}
Persistence_intervals p(argv[1], dominant_interval_number);
std::vector<std::pair<double, double> > dominant_intervals = p.dominant_intervals(persistence_dimension);
std::vector<size_t> histogram = p.histogram_of_lengths(10);
std::stringstream gnuplot_script;
gnuplot_script << argv[1] << "_GnuplotScript";
std::ofstream out;
out.open(gnuplot_script.str().c_str());
out << "set style data histogram" << std::endl;
out << "set style histogram cluster gap 1" << std::endl;
out << "set style fill solid border -1" << std::endl;
out << "plot '-' notitle" << std::endl;
for (size_t i = 0; i != histogram.size(); ++i) {
out << histogram[i] << std::endl;
}
out << std::endl;
out.close();
std::clog << "To visualize, install gnuplot and type the command: gnuplot -persist -e \"load \'"
<< gnuplot_script.str().c_str() << "\'\"" << std::endl;
return 0;
}
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