/* 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 #include using namespace Gudhi; using namespace Gudhi::Gudhi_stat; 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_gudhi_persistence_file_in_one_dimension( filenames[i].c_str() , 1 );//read_standard_persistence_file( filenames[i].c_str() ); collection_of_landscapes[i] = new Persistence_landscape( diag ); } //now we can run the bootstrap: difference_of_objects diff; norm_of_objects norm; double result = multiplicative_bootstrap< Persistence_landscape , difference_of_objects , norm_of_objects > ( collection_of_landscapes , number_of_repetitions_of_bootstrap , diff , norm , quantile , 1 ); std::cout << "result of bootstrap : " << result << std::endl; return 0; }