📄 region.hpp
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/** \file * Defines the interface of the _Region class. * * \author Martin F. Krafft <libkdtree@pobox.madduck.net> */#ifndef INCLUDE_KDTREE_REGION_HPP#define INCLUDE_KDTREE_REGION_HPP#include <cstddef>#include <kdtree++/node.hpp>namespace KDTree{ template <size_t const __K, typename _Val, typename _SubVal, typename _Acc, typename _Cmp> struct _Region { typedef _Val value_type; typedef _SubVal subvalue_type; // special typedef for checking against a fuzzy point (for find_nearest) // Note the region (first) component is not supposed to have an area, its // bounds should all be set to a specific point. typedef std::pair<_Region,_SubVal> _CenterPt; _Region(_Acc const& acc) : _M_acc(acc) {} template <typename Val> _Region(_Acc const& acc, Val const& __V) : _M_acc(acc) { for (size_t __i = 0; __i != __K; ++__i) { _M_low_bounds[__i] = _M_high_bounds[__i] = _M_acc(__V,__i); } } template <typename Val> _Region(_Acc const& acc, Val const& __V, subvalue_type const& __R) : _M_acc(acc) { for (size_t __i = 0; __i != __K; ++__i) { _M_low_bounds[__i] = _M_acc(__V,__i) - __R; _M_high_bounds[__i] = _M_acc(__V,__i) + __R; } } bool intersects_with(_CenterPt const& __THAT) const throw () { for (size_t __i = 0; __i != __K; ++__i) { // does it fall outside the bounds? // ! low-tolerance <= x <= high+tolerance // ! (low-tol <= x and x <= high+tol) // !low-tol<=x or !x<=high+tol // low-tol>x or x>high+tol // x<low-tol or high+tol<x if (_M_cmp(__THAT.first._M_low_bounds[__i], _M_low_bounds[__i] - __THAT.second) || _M_cmp(_M_high_bounds[__i] + __THAT.second, __THAT.first._M_low_bounds[__i])) return false; } return true; } bool intersects_with(_Region const& __THAT) const throw () { for (size_t __i = 0; __i != __K; ++__i) { if (_M_cmp(__THAT._M_high_bounds[__i], _M_low_bounds[__i]) || _M_cmp(_M_high_bounds[__i], __THAT._M_low_bounds[__i])) return false; } return true; } bool encloses(value_type const& __V) const throw () { for (size_t __i = 0; __i != __K; ++__i) { if (_M_cmp(_M_acc(__V, __i), _M_low_bounds[__i]) || _M_cmp(_M_high_bounds[__i], _M_acc(__V, __i))) return false; } return true; } _Region& set_high_bound(value_type const& __V, size_t const __L) throw () { _M_high_bounds[__L % __K] = _M_acc(__V, __L % __K); return *this; } _Region& set_low_bound(value_type const& __V, size_t const __L) throw () { _M_low_bounds[__L % __K] = _M_acc(__V, __L % __K); return *this; } subvalue_type _M_low_bounds[__K], _M_high_bounds[__K]; _Acc _M_acc; _Cmp _M_cmp; };} // namespace KDTree#endif // include guard/* COPYRIGHT -- * * This file is part of libkdtree++, a C++ template KD-Tree sorting container. * libkdtree++ is (c) 2004-2007 Martin F. Krafft <libkdtree@pobox.madduck.net> * and Sylvain Bougerel <sylvain.bougerel.devel@gmail.com> distributed under the * terms of the Artistic License 2.0. See the ./COPYING file in the source tree * root for more information. * * THIS PACKAGE IS PROVIDED "AS IS" AND WITHOUT ANY EXPRESS OR IMPLIED * WARRANTIES, INCLUDING, WITHOUT LIMITATION, THE IMPLIED WARRANTIES * OF MERCHANTIBILITY AND FITNESS FOR A PARTICULAR PURPOSE. */
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