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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: Francois Godi
- *
- * 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 <http://www.gnu.org/licenses/>.
- */
-
-#ifndef PLANAR_NEIGHBORS_FINDER_H_
-#define PLANAR_NEIGHBORS_FINDER_H_
-
-// Inclusion order is important for CGAL patch
-#include "CGAL/Kd_tree_node.h"
-#include "CGAL/Kd_tree.h"
-#include "CGAL/Orthogonal_incremental_neighbor_search.h"
-
-#include <CGAL/Weighted_Minkowski_distance.h>
-#include <CGAL/Search_traits.h>
-
-#include <gudhi/Persistence_diagrams_graph.h>
-#include <gudhi/Construct_coord_iterator.h>
-
-
-namespace Gudhi {
-
-namespace bottleneck_distance {
-
-/** \internal \brief Structure used to find any point in V near (according to the planar distance) to a query point from U.
- *
- * V points have to be added manually using their index and before the first remove/pull. A neighbor pulled is automatically removed. but we can also
- * remove points manually using their index.
- *
- * \ingroup bottleneck_distance
- */
-class Naive_pnf {
-public:
- /** \internal \brief Constructor taking the near distance definition as parameter. */
- Naive_pnf(double r_);
- /** \internal \brief A point added will be possibly pulled. */
- void add(int v_point_index);
- /** \internal \brief A point manually removed will no longer be possibly pulled. */
- void remove(int v_point_index);
- /** \internal \brief Can the point given as parameter be returned ? */
- bool contains(int v_point_index) const;
- /** \internal \brief Provide 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);
- /** \internal \brief Provide and remove all the V points near to the U point given as parameter. */
- std::vector<int> pull_all_near(int u_point_index);
-
-private:
- double r;
- std::pair<int,int> get_v_key(int v_point_index) const;
- std::multimap<std::pair<int,int>,int> grid;
-};
-
-class Planar_neighbors_finder {
-
- typedef CGAL::Dimension_tag<2> D;
- typedef CGAL::Search_traits<double, Internal_point, const double*, CGAL::Construct_coord_iterator, D> Traits;
- typedef CGAL::Weighted_Minkowski_distance<Traits> Distance;
- typedef CGAL::Orthogonal_incremental_neighbor_search<Traits, Distance> K_neighbor_search;
- typedef K_neighbor_search::Tree Kd_tree;
-
-
-public:
- /** \internal \brief Constructor taking the near distance definition as parameter. */
- Planar_neighbors_finder(double r_);
- /** \internal \brief A point added will be possibly pulled. */
- void add(int v_point_index);
- /** \internal \brief A point manually removed will no longer be possibly pulled. */
- void remove(int v_point_index);
- /** \internal \brief Can the point given as parameter be returned ? */
- bool contains(int v_point_index) const;
- /** \internal \brief Provide 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);
- /** \internal \brief Provide and remove all the V points near to the U point given as parameter. */
- virtual std::vector<int> pull_all_near(int u_point_index);
-
-private:
- double r;
- std::set<int> contents;
- Kd_tree kd_t;
-};
-
-
-/** \internal \brief Constructor taking the near distance definition as parameter. */
-inline Planar_neighbors_finder::Planar_neighbors_finder(double r_)
- : r(r_), contents(), kd_t() {}
-
-
-/** \internal \brief A point added will be possibly pulled. */
-inline void Planar_neighbors_finder::add(int v_point_index){
- if(v_point_index == null_point_index())
- return;
- contents.insert(v_point_index);
- kd_t.insert(G::get_v_point(v_point_index));
-}
-
-/** \internal \brief A point manually removed will no longer be possibly pulled. */
-inline void Planar_neighbors_finder::remove(int v_point_index){
- contents.erase(v_point_index);
- kd_t.remove(G::get_v_point(v_point_index));
-}
-
-/** \internal \brief Can the point given as parameter be returned ? */
-inline bool Planar_neighbors_finder::contains(int v_point_index) const{
- if(v_point_index == null_point_index())
- return false;
- return contents.count(v_point_index)>0;
-}
-
-/** \internal \brief Provide and remove a V point near to the U point given as parameter, null_point_index() if there isn't such a point. */
-inline int Planar_neighbors_finder::pull_near(int u_point_index){
- Internal_point u_point = G::get_u_point(u_point_index);
- std::vector<double> w = {1., 1.};
- K_neighbor_search search(kd_t, u_point, 0., true, Distance(0, 2, w));
- auto it = search.begin();
- if(it==search.end() || G::distance(u_point_index, it->first.point_index) > r)
- return null_point_index();
- int tmp = it->first.point_index;
- if(!contains(tmp))
- std::cout << "!! A kd_tree returns a point (Point_index:" << tmp << ") previously removed !!" << std::endl;
- remove(tmp);
- return tmp;
-}
-
-inline std::vector<int> Planar_neighbors_finder::pull_all_near(int u_point_index) {
- std::vector<int> all_pull;
- int last_pull = pull_near(u_point_index);
- while (last_pull != null_point_index()) {
- all_pull.emplace_back(last_pull);
- last_pull = pull_near(u_point_index);
- }
- return all_pull;
-}
-
-
-} // namespace bottleneck_distance
-
-} // namespace Gudhi
-
-#endif // PLANAR_NEIGHBORS_FINDER_H_