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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) 2015 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 <http://www.gnu.org/licenses/>.
*/
#include <gudhi/reader_utils.h>
#include <gudhi/Persistence_intervals.h>
#include <iostream>
using namespace Gudhi;
using namespace Gudhi::Persistence_representations;
int main( int argc , char** argv )
{
std::cout << "This program compute a histogram of barcode's length. A number of bins in the histogram is a parameter of this program. \n";
if ( argc != 3 )
{
std::cout << "To run this program, please provide the name of a file with persistence diagram and number of dominant intervals you would like to get \n";
std::cout << "The third parameter of a program 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 dimension = std::numeric_limits<unsigned>::max();
int dim = -1;
if ( argc > 2 )
{
dim = atoi( argv[2] );
}
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[2] ) );
std::vector< size_t > histogram = p.histogram_of_lengths( 10 );
std::stringstream gnuplot_script;
gnuplot_script << argv[1] << "_Gnuplot_script";
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;
std::cout << "To vizualize, open gnuplot and type: load \'" << gnuplot_script.str().c_str() << "\'" << std::endl;
out.close();
return 0;
}
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