// file: examples/Spatial_searching/General_neighbor_searching.C

#include <CGAL/Cartesian_d.h>
#include <CGAL/point_generators_2.h>
#include <CGAL/Manhattan_distance_iso_box_point.h>
#include <CGAL/K_neighbor_search.h>
#include <CGAL/Search_traits_2.h>

typedef CGAL::Cartesian_d<double> K;
typedef K::Point_d Point_d;
typedef CGAL::Random_points_in_square_2<Point_d> Random_points_iterator;
typedef K::Iso_box_d Iso_box_d;
typedef K TreeTraits;
typedef CGAL::Manhattan_distance_iso_box_point<TreeTraits> Distance;
typedef CGAL::K_neighbor_search<TreeTraits, Distance> Neighbor_search;
typedef Neighbor_search::Tree Tree;

int  main() {
  const int N = 1000;
  const int K = 10;

  Tree tree;
  Random_points_iterator rpg;
  for(int i = 0; i < N; i++){
    tree.insert(*rpg++);
  }
  Point_d pp(0.1,0.1);
  Point_d qq(0.2,0.2);
  Iso_box_d query(pp,qq);

  Distance tr_dist;
  Neighbor_search N1(tree, query, K, 0.0, false); // eps=10.0, nearest=false
  
  std::cout << "For query rectange = [0.1,0.2]^2 " << std::endl 
	    <<  "The " << K << " approximate furthest neighbors are: " << std::endl; 
  for (Neighbor_search::iterator it = N1.begin();it != N1.end();it++) { 
    std::cout << " Point " << it->first << " at distance = " << tr_dist.inverse_of_transformed_distance(it->second) << std::endl; 
  } 
  return 0;
}
