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source: git/external/fastjet/internal/DynamicNearestNeighbours.hh@ 9fbcf38

3.5.0
Last change on this file since 9fbcf38 was cb80e6f, checked in by Pavel Demin <pavel.demin@…>, 4 years ago

update FastJet library to 3.3.4 and FastJet Contrib library to 1.045

  • Property mode set to 100644
File size: 6.5 KB
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[35cdc46]1//FJSTARTHEADER
[cb80e6f]2// $Id: DynamicNearestNeighbours.hh 4442 2020-05-05 07:50:11Z soyez $
[d7d2da3]3//
[cb80e6f]4// Copyright (c) 2005-2020, Matteo Cacciari, Gavin P. Salam and Gregory Soyez
[d7d2da3]5//
6//----------------------------------------------------------------------
7// This file is part of FastJet.
8//
9// FastJet is free software; you can redistribute it and/or modify
10// it under the terms of the GNU General Public License as published by
11// the Free Software Foundation; either version 2 of the License, or
12// (at your option) any later version.
13//
14// The algorithms that underlie FastJet have required considerable
[35cdc46]15// development. They are described in the original FastJet paper,
16// hep-ph/0512210 and in the manual, arXiv:1111.6097. If you use
[d7d2da3]17// FastJet as part of work towards a scientific publication, please
[35cdc46]18// quote the version you use and include a citation to the manual and
19// optionally also to hep-ph/0512210.
[d7d2da3]20//
21// FastJet is distributed in the hope that it will be useful,
22// but WITHOUT ANY WARRANTY; without even the implied warranty of
23// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
24// GNU General Public License for more details.
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27// along with FastJet. If not, see <http://www.gnu.org/licenses/>.
28//----------------------------------------------------------------------
[35cdc46]29//FJENDHEADER
[d7d2da3]30
31
32#ifndef __FASTJET_DYNAMICNEARESTNEIGHBOURS_HH__
33#define __FASTJET_DYNAMICNEARESTNEIGHBOURS_HH__
34
35#include<vector>
36#include<string>
37#include<iostream>
38#include<sstream>
39#include<cassert>
40#include "fastjet/internal/numconsts.hh"
[35cdc46]41#include "fastjet/Error.hh"
[d7d2da3]42
43FASTJET_BEGIN_NAMESPACE // defined in fastjet/internal/base.hh
44
45/// Shortcut for dealing with eta-phi coordinates.
46//typedef std::pair<double,double> EtaPhi;
47
48/// \if internal_doc
49/// @ingroup internal
50/// \class EtaPhi
51/// use a class instead of a pair so that phi can be sanitized
52/// and put into proper range on initialization.
53/// \endif
54class EtaPhi {
55public:
56 double first, second;
57 EtaPhi() {}
58 EtaPhi(double a, double b) {first = a; second = b;}
59 /// put things into the desired range.
60 void sanitize() {
61 if (second < 0) second += twopi;
62 if (second >= twopi) second -= twopi;
63 }
64
65};
66
67/// \if internal_doc
68/// @ingroup internal
69/// \class DnnError
70/// class corresponding to errors that will be thrown by Dynamic
71/// Nearest Neighbours code
72/// \endif
[35cdc46]73class DnnError : public Error {
[d7d2da3]74public:
75 // constructors
[35cdc46]76 //DnnError() {}
77 DnnError(const std::string & message_in) : Error(message_in) {}
[d7d2da3]78};
79
80
81/// \if internal_doc
82/// @ingroup internal
83/// \class DynamicNearestNeighbours
84/// Abstract base class for quick location of nearest neighbours in a set of
85/// points.
86///
87/// Abstract base class for quick location of nearest neighbours in a set of
88/// points, with facilities for adding and removing points from the
89/// set after initialisation. Derived classes will be
90/// named according to the convention DnnSomeName (e.g. DnnPlane).
91///
92/// The main purpose of this abstract base class is to define the
93/// general interface of a whole set of classes that deal with
94/// nearest-neighbour location on different 2-d geometries and with
95/// various underlying data structures and algorithms.
96///
97/// \endif
98class DynamicNearestNeighbours {
99
100public:
101 /// Dummy initialiser --- does nothing!
102 //virtual DynamicNearestNeighbours() {};
103
104 /// Initialiser --- sets up the necessary structures to allow efficient
105 /// nearest-neighbour finding on the std::vector<EtaPhi> of input points
106 //virtual DynamicNearestNeighbours(const std::vector<EtaPhi> &,
107 // const bool & verbose = false ) = 0;
108
109 /// Returns the index of the nearest neighbour of point labelled
110 /// by ii (assumes ii is valid)
[35cdc46]111 virtual int NearestNeighbourIndex(const int ii) const = 0;
[d7d2da3]112
113 /// Returns the distance to the nearest neighbour of point labelled
114 /// by index ii (assumes ii is valid)
[35cdc46]115 virtual double NearestNeighbourDistance(const int ii) const = 0;
[d7d2da3]116
117 /// Returns true iff the given index corresponds to a point that
118 /// exists in the DNN structure (meaning that it has been added, and
119 /// not removed in the meantime)
[35cdc46]120 virtual bool Valid(const int index) const = 0;
[d7d2da3]121
122 /// remove the points labelled by the std::vector indices_to_remove, and
123 /// add the points specified by the std::vector points_to_add
124 /// (corresponding indices will be calculated automatically); the
125 /// idea behind this routine is that the points to be added will
126 /// somehow be close to the one or other of the points being removed
127 /// and this can be used by the implementation to provide hints for
128 /// inserting the new points in whatever structure it is using. In a
129 /// kt-algorithm the points being added will be a result of a
130 /// combination of the points to be removed -- hence the proximity
131 /// is (more or less) guaranteed.
132 virtual void RemoveAndAddPoints(const std::vector<int> & indices_to_remove,
133 const std::vector<EtaPhi> & points_to_add,
134 std::vector<int> & indices_added,
135 std::vector<int> & indices_of_updated_neighbours) = 0;
136
137
138 /// Remove the point labelled by index and return the list of
139 /// points whose nearest neighbours have changed in the process
[35cdc46]140 inline void RemovePoint (const int index,
[d7d2da3]141 std::vector<int> & indices_of_updated_neighbours) {
142 std::vector<int> indices_added;
143 std::vector<EtaPhi> points_to_add;
144 std::vector<int> indices_to_remove(1);
145 indices_to_remove[0] = index;
146 RemoveAndAddPoints(indices_to_remove, points_to_add, indices_added,
147 indices_of_updated_neighbours
148 );};
149
150
151 /// Removes the two points labelled by index1, index2 and adds in the
152 /// a point with coordinates newpoint; it returns an index for the new
153 /// point (index 3) and a std::vector of indices of neighbours whose
154 /// nearest neighbour has changed (the list includes index3, i.e. the new
155 /// point).
156 inline void RemoveCombinedAddCombination(
[35cdc46]157 const int index1, const int index2,
[d7d2da3]158 const EtaPhi & newpoint,
159 int & index3,
160 std::vector<int> & indices_of_updated_neighbours) {
161 std::vector<int> indices_added(1);
162 std::vector<EtaPhi> points_to_add(1);
163 std::vector<int> indices_to_remove(2);
164 indices_to_remove[0] = index1;
165 indices_to_remove[1] = index2;
166 points_to_add[0] = newpoint;
167 RemoveAndAddPoints(indices_to_remove, points_to_add, indices_added,
168 indices_of_updated_neighbours
169 );
170 index3 = indices_added[0];
171 };
172
173 /// destructor -- here it is now implemented
174 virtual ~DynamicNearestNeighbours () {}
175};
176
177
178FASTJET_END_NAMESPACE
179
180#endif // __FASTJET_DYNAMICNEARESTNEIGHBOURS_HH__
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