[35cdc46] | 1 | //FJSTARTHEADER
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[cb80e6f] | 2 | // $Id: DynamicNearestNeighbours.hh 4442 2020-05-05 07:50:11Z soyez $
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[d7d2da3] | 3 | //
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[cb80e6f] | 4 | // Copyright (c) 2005-2020, Matteo Cacciari, Gavin P. Salam and Gregory Soyez
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[d7d2da3] | 5 | //
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| 6 | //----------------------------------------------------------------------
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| 7 | // This file is part of FastJet.
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| 8 | //
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| 9 | // FastJet is free software; you can redistribute it and/or modify
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| 10 | // it under the terms of the GNU General Public License as published by
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| 11 | // the Free Software Foundation; either version 2 of the License, or
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| 12 | // (at your option) any later version.
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| 13 | //
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| 14 | // The algorithms that underlie FastJet have required considerable
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[35cdc46] | 15 | // development. They are described in the original FastJet paper,
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| 16 | // hep-ph/0512210 and in the manual, arXiv:1111.6097. If you use
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[d7d2da3] | 17 | // FastJet as part of work towards a scientific publication, please
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[35cdc46] | 18 | // quote the version you use and include a citation to the manual and
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| 19 | // optionally also to hep-ph/0512210.
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[d7d2da3] | 20 | //
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| 21 | // FastJet is distributed in the hope that it will be useful,
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| 22 | // but WITHOUT ANY WARRANTY; without even the implied warranty of
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| 23 | // MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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| 24 | // GNU General Public License for more details.
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| 25 | //
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| 26 | // You should have received a copy of the GNU General Public License
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| 27 | // along with FastJet. If not, see <http://www.gnu.org/licenses/>.
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| 28 | //----------------------------------------------------------------------
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[35cdc46] | 29 | //FJENDHEADER
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[d7d2da3] | 30 |
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| 31 |
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| 32 | #ifndef __FASTJET_DYNAMICNEARESTNEIGHBOURS_HH__
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| 33 | #define __FASTJET_DYNAMICNEARESTNEIGHBOURS_HH__
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| 34 |
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| 35 | #include<vector>
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| 36 | #include<string>
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| 37 | #include<iostream>
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| 38 | #include<sstream>
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| 39 | #include<cassert>
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| 40 | #include "fastjet/internal/numconsts.hh"
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[35cdc46] | 41 | #include "fastjet/Error.hh"
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[d7d2da3] | 42 |
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| 43 | FASTJET_BEGIN_NAMESPACE // defined in fastjet/internal/base.hh
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| 44 |
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| 45 | /// Shortcut for dealing with eta-phi coordinates.
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| 46 | //typedef std::pair<double,double> EtaPhi;
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| 47 |
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| 48 | /// \if internal_doc
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| 49 | /// @ingroup internal
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| 50 | /// \class EtaPhi
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| 51 | /// use a class instead of a pair so that phi can be sanitized
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| 52 | /// and put into proper range on initialization.
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| 53 | /// \endif
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| 54 | class EtaPhi {
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| 55 | public:
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| 56 | double first, second;
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| 57 | EtaPhi() {}
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| 58 | EtaPhi(double a, double b) {first = a; second = b;}
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| 59 | /// put things into the desired range.
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| 60 | void sanitize() {
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| 61 | if (second < 0) second += twopi;
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| 62 | if (second >= twopi) second -= twopi;
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| 63 | }
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| 64 |
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| 65 | };
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| 66 |
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| 67 | /// \if internal_doc
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| 68 | /// @ingroup internal
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| 69 | /// \class DnnError
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| 70 | /// class corresponding to errors that will be thrown by Dynamic
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| 71 | /// Nearest Neighbours code
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| 72 | /// \endif
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[35cdc46] | 73 | class DnnError : public Error {
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[d7d2da3] | 74 | public:
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| 75 | // constructors
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[35cdc46] | 76 | //DnnError() {}
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| 77 | DnnError(const std::string & message_in) : Error(message_in) {}
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[d7d2da3] | 78 | };
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| 79 |
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| 80 |
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| 81 | /// \if internal_doc
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| 82 | /// @ingroup internal
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| 83 | /// \class DynamicNearestNeighbours
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| 84 | /// Abstract base class for quick location of nearest neighbours in a set of
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| 85 | /// points.
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| 86 | ///
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| 87 | /// Abstract base class for quick location of nearest neighbours in a set of
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| 88 | /// points, with facilities for adding and removing points from the
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| 89 | /// set after initialisation. Derived classes will be
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| 90 | /// named according to the convention DnnSomeName (e.g. DnnPlane).
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| 91 | ///
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| 92 | /// The main purpose of this abstract base class is to define the
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| 93 | /// general interface of a whole set of classes that deal with
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| 94 | /// nearest-neighbour location on different 2-d geometries and with
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| 95 | /// various underlying data structures and algorithms.
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| 96 | ///
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| 97 | /// \endif
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| 98 | class DynamicNearestNeighbours {
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| 99 |
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| 100 | public:
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| 101 | /// Dummy initialiser --- does nothing!
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| 102 | //virtual DynamicNearestNeighbours() {};
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| 103 |
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| 104 | /// Initialiser --- sets up the necessary structures to allow efficient
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| 105 | /// nearest-neighbour finding on the std::vector<EtaPhi> of input points
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| 106 | //virtual DynamicNearestNeighbours(const std::vector<EtaPhi> &,
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| 107 | // const bool & verbose = false ) = 0;
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| 108 |
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| 109 | /// Returns the index of the nearest neighbour of point labelled
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| 110 | /// by ii (assumes ii is valid)
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[35cdc46] | 111 | virtual int NearestNeighbourIndex(const int ii) const = 0;
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[d7d2da3] | 112 |
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| 113 | /// Returns the distance to the nearest neighbour of point labelled
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| 114 | /// by index ii (assumes ii is valid)
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[35cdc46] | 115 | virtual double NearestNeighbourDistance(const int ii) const = 0;
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[d7d2da3] | 116 |
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| 117 | /// Returns true iff the given index corresponds to a point that
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| 118 | /// exists in the DNN structure (meaning that it has been added, and
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| 119 | /// not removed in the meantime)
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[35cdc46] | 120 | virtual bool Valid(const int index) const = 0;
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[d7d2da3] | 121 |
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| 122 | /// remove the points labelled by the std::vector indices_to_remove, and
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| 123 | /// add the points specified by the std::vector points_to_add
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| 124 | /// (corresponding indices will be calculated automatically); the
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| 125 | /// idea behind this routine is that the points to be added will
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| 126 | /// somehow be close to the one or other of the points being removed
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| 127 | /// and this can be used by the implementation to provide hints for
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| 128 | /// inserting the new points in whatever structure it is using. In a
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| 129 | /// kt-algorithm the points being added will be a result of a
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| 130 | /// combination of the points to be removed -- hence the proximity
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| 131 | /// is (more or less) guaranteed.
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| 132 | virtual void RemoveAndAddPoints(const std::vector<int> & indices_to_remove,
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| 133 | const std::vector<EtaPhi> & points_to_add,
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| 134 | std::vector<int> & indices_added,
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| 135 | std::vector<int> & indices_of_updated_neighbours) = 0;
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| 136 |
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| 137 |
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| 138 | /// Remove the point labelled by index and return the list of
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| 139 | /// points whose nearest neighbours have changed in the process
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[35cdc46] | 140 | inline void RemovePoint (const int index,
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[d7d2da3] | 141 | std::vector<int> & indices_of_updated_neighbours) {
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| 142 | std::vector<int> indices_added;
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| 143 | std::vector<EtaPhi> points_to_add;
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| 144 | std::vector<int> indices_to_remove(1);
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| 145 | indices_to_remove[0] = index;
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| 146 | RemoveAndAddPoints(indices_to_remove, points_to_add, indices_added,
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| 147 | indices_of_updated_neighbours
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| 148 | );};
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| 149 |
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| 150 |
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| 151 | /// Removes the two points labelled by index1, index2 and adds in the
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| 152 | /// a point with coordinates newpoint; it returns an index for the new
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| 153 | /// point (index 3) and a std::vector of indices of neighbours whose
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| 154 | /// nearest neighbour has changed (the list includes index3, i.e. the new
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| 155 | /// point).
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| 156 | inline void RemoveCombinedAddCombination(
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[35cdc46] | 157 | const int index1, const int index2,
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[d7d2da3] | 158 | const EtaPhi & newpoint,
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| 159 | int & index3,
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| 160 | std::vector<int> & indices_of_updated_neighbours) {
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| 161 | std::vector<int> indices_added(1);
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| 162 | std::vector<EtaPhi> points_to_add(1);
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| 163 | std::vector<int> indices_to_remove(2);
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| 164 | indices_to_remove[0] = index1;
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| 165 | indices_to_remove[1] = index2;
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| 166 | points_to_add[0] = newpoint;
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| 167 | RemoveAndAddPoints(indices_to_remove, points_to_add, indices_added,
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| 168 | indices_of_updated_neighbours
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| 169 | );
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| 170 | index3 = indices_added[0];
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| 171 | };
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| 172 |
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| 173 | /// destructor -- here it is now implemented
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| 174 | virtual ~DynamicNearestNeighbours () {}
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| 175 | };
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| 176 |
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| 177 |
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| 178 | FASTJET_END_NAMESPACE
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| 179 |
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| 180 | #endif // __FASTJET_DYNAMICNEARESTNEIGHBOURS_HH__
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