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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) 2017 Swansea University
*
* 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_PERSISTENCE_REPRESENTATIONS_DIAGRAMS_
#define INCLUDE_PERSISTENCE_REPRESENTATIONS_DIAGRAMS_
#include <gudhi/Persistence_intervals.h>
#include <iostream>
#include <vector>
#include <string>
namespace Gudhi {
//But if we want to have the same names of classes in C++ and cyton side we ned this interface, because othervise we will have a name conflict. And we want to have the same names on the
//C++ and python side for various reasonc (clarity, documentantions etc.).
//If the C++ class we inherid from are template class, we are inherid from concretization, for instance Persistence_intervals<double>.
//Also in this class, we create an interface functions that will be used in the python side. That will allow to have the same name of the functions in the C++ and python side.
namespace Persistence_representations {
class Persistence_intervals_interface : public Persistence_intervals
{
public:
Persistence_intervals_interface(const char* filename, unsigned dimension = std::numeric_limits<unsigned>::max())
: Persistence_intervals(filename, dimension) {
}
Persistence_intervals_interface(const std::vector<std::pair<double, double> >& intervals)
: Persistence_intervals(intervals) {
}
std::pair<double, double> get_x_range_interface() const
{
return this->get_x_range();
}
std::pair<double, double> get_y_range_interface() const
{
return this->get_y_range();
}
std::vector<double> length_of_dominant_intervals_interface(size_t where_to_cut = 100) const
{
return this->length_of_dominant_intervals(where_to_cut);
}
std::vector<std::pair<double, double> > dominant_intervals_interface(size_t where_to_cut = 100) const
{
return this->dominant_intervals(where_to_cut);
}
std::vector<size_t> histogram_of_lengths_interface(size_t number_of_bins = 10) const
{
return this->histogram_of_lengths(number_of_bins);
}
std::vector<size_t> cumulative_histogram_of_lengths_interface(size_t number_of_bins = 10) const
{
return this->cumulative_histogram_of_lengths(number_of_bins);
}
std::vector<double> characteristic_function_of_diagram_interface(double x_min, double x_max, size_t number_of_bins = 10) const
{
return this->characteristic_function_of_diagram(x_min,x_max,number_of_bins);
}
std::vector<double> cumulative_characteristic_function_of_diagram_interface(double x_min, double x_max, size_t number_of_bins = 10) const
{
return this->cumulative_characteristic_function_of_diagram(x_min,x_max,number_of_bins);
}
std::vector<std::pair<double, size_t> > compute_persistent_betti_numbers_interface() const
{
return this->compute_persistent_betti_numbers();
}
double project_to_R_interface(int number_of_function) const
{
return this->project_to_R(number_of_function);
}
size_t number_of_projections_to_R_interface() const
{
return this->number_of_projections_to_R();
}
std::vector<double> vectorize_interface(int number_of_function) const
{
return this->vectorize(number_of_function);
}
size_t number_of_vectorize_functions_interface() const
{
return this->number_of_vectorize_functions();
}
};
} // namespace Persistence_representations
} // namespace Gudhi
#endif // INCLUDE_PERSISTENCE_REPRESENTATIONS_DIAGRAMS_
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