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Diffstat (limited to 'src/Bottleneck_distance/include/gudhi/Planar_neighbors_finder.h')
-rw-r--r-- | src/Bottleneck_distance/include/gudhi/Planar_neighbors_finder.h | 156 |
1 files changed, 0 insertions, 156 deletions
diff --git a/src/Bottleneck_distance/include/gudhi/Planar_neighbors_finder.h b/src/Bottleneck_distance/include/gudhi/Planar_neighbors_finder.h deleted file mode 100644 index c1f4d908..00000000 --- a/src/Bottleneck_distance/include/gudhi/Planar_neighbors_finder.h +++ /dev/null @@ -1,156 +0,0 @@ -/* 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_ |