/* 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 .
*/
#include
#include
#include
using namespace Gudhi;
using namespace Gudhi::Persistence_representations;
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< std::pair > 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;
}