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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): Francois Godi
*
* Copyright (C) 2015 INRIA Sophia-Antipolis (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/>.
*/
#ifndef SRC_BOTTLENECK_INCLUDE_GUDHI_LAYERED_NEIGHBORS_FINDER_H_
#define SRC_BOTTLENECK_INCLUDE_GUDHI_LAYERED_NEIGHBORS_FINDER_H_
#include <vector>
#include "Neighbors_finder.h"
namespace Gudhi {
namespace bottleneck {
/** \internal \brief data structure used to find any point (including projections) in V near to a query point from U
* (which can be a projection) in a layered graph layer given as parmeter.
*
* V points have to be added manually using their index and before the first pull. A neighbor pulled is automatically removed.
*
* \ingroup bottleneck_distance
*/
class Layered_neighbors_finder {
public:
/** \internal \brief Constructor taking the near distance definition as parameter. */
Layered_neighbors_finder(double r);
/** \internal \brief A point added will be possibly pulled. */
void add(int v_point_index, int vlayer);
/** \internal \brief Returns and remove a V point near to the U point given as parameter, null_point_index() if there isn't such a point. */
int pull_near(int u_point_index, int vlayer);
/** \internal \brief Returns the number of layers. */
int vlayers_number() const;
private:
const double r;
std::vector<Neighbors_finder> neighbors_finder;
};
Layered_neighbors_finder::Layered_neighbors_finder(double r) :
r(r), neighbors_finder() { }
inline void Layered_neighbors_finder::add(int v_point_index, int vlayer) {
for (int l = neighbors_finder.size(); l <= vlayer; l++)
neighbors_finder.emplace_back(Neighbors_finder(r));
neighbors_finder.at(vlayer).add(v_point_index);
}
inline int Layered_neighbors_finder::pull_near(int u_point_index, int vlayer) {
if (static_cast<int> (neighbors_finder.size()) <= vlayer)
return null_point_index();
return neighbors_finder.at(vlayer).pull_near(u_point_index);
}
inline int Layered_neighbors_finder::vlayers_number() const {
return static_cast<int>(neighbors_finder.size());
}
} // namespace bottleneck
} // namespace Gudhi
#endif // SRC_BOTTLENECK_INCLUDE_GUDHI_LAYERED_NEIGHBORS_FINDER_H_
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