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// $Id: DnnPlane.hh 3442 2014-07-24 07:20:49Z salam $
//
// Copyright (c) 2005-2014, Matteo Cacciari, Gavin P. Salam and Gregory Soyez
//
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//FJENDHEADER
#ifndef DROP_CGAL // in case we do not have the code for CGAL
#ifndef __FASTJET_DNNPLANE_HH__
#define __FASTJET_DNNPLANE_HH__
#include "fastjet/internal/Triangulation.hh"
#include "fastjet/internal/DynamicNearestNeighbours.hh"
FASTJET_BEGIN_NAMESPACE // defined in fastjet/internal/base.hh
/// \if internal_doc
/// @ingroup internal
/// \class DnnPlane
/// class derived from DynamicNearestNeighbours that provides an
/// implementation for the Euclidean plane
///
/// This class that uses CGAL Delaunay triangulation for most of the
/// work (it allows for easy and efficient removal and addition of
/// points and circulation over a point's neighbours). The treatment
/// of coincident points is not supported by CGAL and is implemented
/// according to the method specified in
/// issue-tracker/2012-02-CGAL-coincident/METHOD
/// \endif
class DnnPlane : public DynamicNearestNeighbours {
public:
/// empty initaliser
DnnPlane() {}
/// Initialiser from a set of points on an Eta-Phi plane, where both
/// eta and phi can have arbitrary ranges
DnnPlane(const std::vector &, const bool & verbose = false );
/// Returns the index of the nearest neighbour of point labelled
/// by ii (assumes ii is valid)
int NearestNeighbourIndex(const int ii) const ;
/// Returns the distance to the nearest neighbour of point labelled
/// by index ii (assumes ii is valid)
double NearestNeighbourDistance(const int ii) const ;
/// Returns true iff the given index corresponds to a point that
/// exists in the DNN structure (meaning that it has been added, and
/// not removed in the meantime)
bool Valid(const int index) const;
void RemoveAndAddPoints(const std::vector & indices_to_remove,
const std::vector & points_to_add,
std::vector & indices_added,
std::vector & indices_of_updated_neighbours);
/// returns the EtaPhi of point with index i.
EtaPhi etaphi(const int i) const;
/// returns the eta point with index i.
double eta(const int i) const;
/// returns the phi point with index i.
double phi(const int i) const;
private:
/// Structure containing a vertex_handle and cached information on
/// the nearest neighbour.
struct SuperVertex {
Vertex_handle vertex; // NULL indicates inexistence...
double NNdistance;
int NNindex;
int coincidence; // ==vertex->info.val() if no coincidence
// points to the coinciding SV in case of coincidence
// later on for cylinder put a second vertex?
};
std::vector _supervertex;
//set _vertex_set;
bool _verbose;
//static const bool _crash_on_coincidence = true;
static const bool _crash_on_coincidence = false;
Triangulation _TR; /// CGAL object for dealing with triangulations
/// calculates and returns the euclidean distance between points p1
/// and p2
inline double _euclid_distance(const Point& p1, const Point& p2) const {
double distx= p1.x()-p2.x();
double disty= p1.y()-p2.y();
return distx*distx+disty*disty;
}
//----------------------------------------------------------------------
/// Determines the index and distance of the nearest neighbour to
/// point j and puts the information into the _supervertex entry for j
void _SetNearest(const int j);
//----------------------------------------------------------------------
/// Determines and stores the nearest neighbour of j.
///
/// For each voronoi neighbour D of j if the distance between j and D
/// is less than D's own nearest neighbour, then update the
/// nearest-neighbour info in D; push D's index onto
/// indices_of_updated_neighbours
///
/// Note that j is NOT pushed onto indices_of_updated_neighbours --
/// if you want it there, put it there yourself.
void _SetAndUpdateNearest(const int j,
std::vector & indices_of_updated_neighbours);
/// given a vertex_handle returned by CGAL on insertion of a new
/// points, returns the coinciding vertex's value if it turns out
/// that it corresponds to a vertex that we already knew about
/// (usually because two points coincide)
int _CheckIfVertexPresent(const Vertex_handle & vertex,
const int its_index);
//----------------------------------------------------------------------
/// if the distance between 'pref' and 'candidate' is smaller (or
/// equal) than the one between 'pref' and 'near', return true and
/// set 'mindist' to that distance. Note that it is assumed that
/// 'mindist' is the euclidian distance between 'pref' and 'near'
///
/// Note that the 'near' point is passed through its vertex rather
/// than as a point. This allows us to handle cases where we have no min
/// yet (near is the infinite vertex)
inline bool _is_closer_to(const Point &pref,
const Point &candidate,
const Vertex_handle &near,
double & dist,
double & mindist){
dist = _euclid_distance(pref, candidate);
return _is_closer_to_with_hint(pref, candidate, near, dist, mindist);
}
/// same as '_is_closer_to' except that 'dist' already contains the
/// distance between 'pref' and 'candidate'
inline bool _is_closer_to_with_hint(const Point &pref,
const Point &candidate,
const Vertex_handle &near,
const double & dist,
double & mindist){
// check if 'dist', the pre-computed distance between 'candidate'
// and 'pref' is smaller than the distance between 'pref' and its
// currently registered nearest neighbour 'near' (and update
// things if it is)
//
// Interestingly enough, it has to be pointed out that the use of
// 'abs' instead of 'std::abs' returns wrong results (apparently
// ints without any compiler warning)
//
// The (near != NULL) test is there for one single reason: when
// checking that a newly inserted point is not closer than a
// previous NN, if that distance comparison involves a "nearly
// degenerate" distance we need to access near->point. But
// sometimes, in the course of RemoveAndAddPoints, its previous NN
// has been deleted and its vertex (corresponding to 'near') set
// to NULL. This is not a problem as all points having a deleted
// point as NN will have their NN explicitly recomputed at the end
// of RemoveAndAddPoints so here we should just make sure there is
// no crash... that's done by checking (near != NULL)
if ((std::abs(dist-mindist)point())point() is not ill-defined
if (_verbose) std::cout << "using CGAL's distance ordering" << std::endl;
if (CGAL::compare_distance_to_point(pref, candidate, near->point())!=CGAL::LARGER){
mindist = dist;
return true;
}
} else if (dist <= mindist) {
// Note that the use of a <= in the above expression (instead of
// a strict ordering <) is important in one case: when checking
// if a new point is the new NN of one of the points in its
// neighbourhood, in case of distances being ==, we are sure
// that 'candidate' is in a cell adjacent to 'pref' while it may
// no longer be the case for 'near'
mindist = dist;
return true;
}
return false;
}
/// if a distance between a point and 2 others is smaller than this
/// and the distance between the two points is also smaller than this
/// then use CGAL to compare the distances.
static const double DISTANCE_FOR_CGAL_CHECKS;
};
// here follow some inline implementations of the simpler of the
// functions defined above
inline int DnnPlane::NearestNeighbourIndex(const int ii) const {
return _supervertex[ii].NNindex;}
inline double DnnPlane::NearestNeighbourDistance(const int ii) const {
return _supervertex[ii].NNdistance;}
inline bool DnnPlane::Valid(const int index) const {
if (index >= 0 && index < static_cast(_supervertex.size())) {
return (_supervertex[index].vertex != NULL);} else {return false;} }
inline EtaPhi DnnPlane::etaphi(const int i) const {
Point * p = & (_supervertex[i].vertex->point());
return EtaPhi(p->x(),p->y()); }
inline double DnnPlane::eta(const int i) const {
return _supervertex[i].vertex->point().x(); }
inline double DnnPlane::phi(const int i) const {
return _supervertex[i].vertex->point().y(); }
FASTJET_END_NAMESPACE
#endif // __FASTJET_DNNPLANE_HH__
#endif // DROP_CGAL