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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): Mathieu Carriere
*
* Copyright (C) 2018 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_image.h>
#include <gudhi/Persistence_weighted_gaussian.h>
#include <iostream>
#include <vector>
#include <utility>
#include <string>
using PI = Gudhi::Persistence_representations::Persistence_image;
using Weight = std::function<double (std::pair<double,double>) >;
int main(int argc, char** argv) {
std::vector<std::pair<double, double> > persistence;
persistence.push_back(std::make_pair(1, 2));
persistence.push_back(std::make_pair(6, 8));
persistence.push_back(std::make_pair(0, 4));
persistence.push_back(std::make_pair(3, 8));
double min_x = 0.0; double max_x = 10.0; int res_x = 100; double min_y = 0.0; double max_y = 10.0; int res_y = 100; double sigma = 1.0; Weight weight = Gudhi::Persistence_representations::Persistence_weighted_gaussian::linear_weight;
PI pim(persistence, min_x, max_x, res_x, min_y, max_y, res_y, weight, sigma);
std::vector<std::vector<double> > P = pim.vectorize();
for(int i = 0; i < res_y; i++){
for(int j = 0; j < res_x; j++) std::cout << P[i][j] << " ";
std::cout << std::endl;
}
return 0;
}
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