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path: root/src/Persistence_representations/utilities/persistence_vectors/average_persistence_vectors.cpp
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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/Persistence_vectors.h>



using namespace Gudhi;
using namespace Gudhi::Persistence_representations;

#include <iostream>


int main( int argc , char** argv )
{
	std::cout << "This program computes average persistence vector of persistence vectors created based on persistence diagrams provided as an input. \n";
	std::cout << "Please call this program with the names of files with persistence diagrams \n";
	std::vector< const char* > filenames;
	
	if ( argc == 1 )
	{
		std::cout << "No input files given, the program will now terminate \n";
		return 1;
	}
	
	for ( int i = 1 ; i < argc ; ++i )
	{
		filenames.push_back( argv[i] );
	}
	
	std::cout << "Reading persistence vectors...\n";
	std::vector< Vector_distances_in_diagram< Euclidean_distance >* > lands;
	for ( size_t i = 0 ; i != filenames.size() ; ++i )
	{		
		Vector_distances_in_diagram< Euclidean_distance >* l = new Vector_distances_in_diagram< Euclidean_distance >;
		l->load_from_file( filenames[i] );
		lands.push_back(l );
	}
	
	Vector_distances_in_diagram< Euclidean_distance > av;
	av.compute_average( lands );
	
	av.print_to_file( "average.vect" );
	
	for ( size_t i = 0 ; i != filenames.size() ; ++i )
	{
		delete lands[i];
	}
	
	std::cout << "Done \n";

	return 0;
}