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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
*
* 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/>.
*/
#ifndef INCLUDE_VECTORS_INTERFACE_H_
#define INCLUDE_VECTORS_INTERFACE_H_
#include <gudhi/Landscape.h>
#include <gudhi/Persistence_image.h>
#include <gudhi/Persistence_weighted_gaussian.h>
#include <iostream>
#include <vector>
#include <utility> // for std::pair
using Weight = std::function<double (std::pair<double,double>) >;
namespace Gudhi {
namespace persistence_diagram {
std::vector<std::vector<double> > compute_ls(const std::vector<std::pair<double, double> >& diag, int nb_ls, double min_x, double max_x, int res_x) {
Gudhi::Persistence_representations::Landscape L(diag, nb_ls, min_x, max_x, res_x);
return L.vectorize();
}
std::vector<std::vector<double> > compute_pim(const std::vector<std::pair<double, double> >& diag, double min_x, double max_x, int res_x, double min_y, double max_y, int res_y, std::string weight, double sigma, double C, double p) {
Weight weight_fn;
if(weight.compare("linear") == 0) weight_fn = Gudhi::Persistence_representations::linear_weight;
if(weight.compare("arctan") == 0) weight_fn = Gudhi::Persistence_representations::arctan_weight(C,p);
if(weight.compare("const") == 0) weight_fn = Gudhi::Persistence_representations::const_weight;
Gudhi::Persistence_representations::Persistence_image P(diag, min_x, max_x, res_x, min_y, max_y, res_y, weight_fn, sigma);
return P.vectorize();
}
} // namespace persistence_diagram
} // namespace Gudhi
#endif // INCLUDE_VECTORS_INTERFACE_H_
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