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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/Hausdorff_distances.h>
#include <gudhi/multiplicative_bootstrap.h>
#include <gudhi/read_persistence_from_file.h>
#include <gudhi/persistence_vectors.h>
using namespace Gudhi;
using namespace Gudhi::Gudhi_stat;
using namespace Gudhi::Persistence_representations;
int main( int argc , char** argv )
{
std::cout << "The parameters of this program are : " << std::endl;
std::cout << "(a) a name of a file with names of files with persistence diagrams," << std:: endl;
std::cout << "(b) a number of repetitions of bootstrap (integer)," << std::endl;
std::cout << "(c) a quantile (real number between 0 and 1. If you do not know what to set, set it to 0.95." << std::endl;
if ( argc != 4 )
{
std::cerr << "Wrong number of parameters, the program will now terminate.\n";
return 1;
}
const char* file_with_filenames = argv[1];
size_t number_of_repetitions_of_bootstrap = (size_t)atoi( argv[2] );
double quantile = atof( argv[3] );
std::vector< std::string > filenames = readFileNames( file_with_filenames );
std::vector< Persistence_landscape* > collection_of_landscapes( filenames.size() );
for ( size_t i = 0 ; i != filenames.size() ; ++i )
{
std::vector< std::pair< double , double > > diag = read_persistence_intervals_in_one_dimension_from_file( filenames[i].c_str() );
collection_of_landscapes[i] = new Persistence_landscape( diag );
}
//now we can run the bootstrap:
difference_of_objects<Persistence_landscape> diff;
norm_of_objects<Persistence_landscape> norm;
double result =
multiplicative_bootstrap< Persistence_landscape , difference_of_objects<Persistence_landscape> , norm_of_objects<Persistence_landscape> >
( collection_of_landscapes , number_of_repetitions_of_bootstrap , diff , norm , quantile , 1 );
std::cout << "result of bootstrap : " << result << std::endl;
return 0;
}
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