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#ifndef RTREE_H
#define RTREE_H
// NOTE This file compiles under MSVC 6 SP5 and MSVC .Net 2003 it may not work on other compilers without modification.
// NOTE These next few lines may be win32 specific, you may need to modify them to compile on other platform
//#define RTREE_STDIO
#ifdef RTREE_STDIO
#include <stdio.h>
#endif
#include <vector>
//
// RTree.h
//
//#define RTREE_DONT_USE_MEMPOOLS // This version does not contain a fixed memory allocator, fill in lines with EXAMPLE to implement one.
#define RTREE_USE_SPHERICAL_VOLUME // Better split classification, may be slower on some systems
#ifdef RTREE_STDIO
// Fwd decl
class RTFileStream; // File I/O helper class, look below for implementation and notes.
#endif
#define RTREE_TEMPLATE template<class DATATYPE, class ELEMTYPE, int NUMDIMS, class ELEMTYPEREAL, int TMAXNODES, int TMINNODES>
#define RTREE_QUAL RTree<DATATYPE, ELEMTYPE, NUMDIMS, ELEMTYPEREAL, TMAXNODES, TMINNODES>
namespace floormat::detail {
template<typename T> struct rtree_pool final
{
rtree_pool() noexcept;
rtree_pool(const rtree_pool&) = delete;
rtree_pool& operator=(const rtree_pool&) = delete;
~rtree_pool();
T* construct();
void free(T* pool);
union node_u {
union { T data; };
node_u* next;
};
union node_p {
T* ptr;
node_u* data_ptr;
};
private:
node_u* free_list = nullptr;
};
} // namespace floormat::detail
/// \class RTree
/// Implementation of RTree, a multidimensional bounding rectangle tree.
/// Example usage: For a 3-dimensional tree use RTree<Object*, float, 3> myTree;
///
/// This modified, templated C++ version by Greg Douglas at Auran (http://www.auran.com)
///
/// DATATYPE Referenced data, should be int, void*, obj* etc. no larger than sizeof<void*> and simple type
/// ELEMTYPE Type of element such as int or float
/// NUMDIMS Number of dimensions such as 2 or 3
/// ELEMTYPEREAL Type of element that allows fractional and large values such as float or double, for use in volume calcs
///
/// NOTES: Inserting and removing data requires the knowledge of its constant Minimal Bounding Rectangle.
/// This version uses new/delete for nodes, I recommend using a fixed size allocator for efficiency.
/// Instead of using a callback function for returned results, I recommend and efficient pre-sized, grow-only memory
/// array similar to MFC CArray or STL Vector for returning search query result.
///
template<class DATATYPE, class ELEMTYPE, int NUMDIMS,
class ELEMTYPEREAL = ELEMTYPE, int TMAXNODES = 8, int TMINNODES = TMAXNODES / 2>
class RTree final
{
public:
struct Node; // Fwd decl. Used by other internal structs and iterator
struct ListNode;
// These constant must be declared after Branch and before Node struct
// Stuck up here for MSVC 6 compiler. NSVC .NET 2003 is much happier.
enum
{
MAXNODES = TMAXNODES, ///< Max elements in node
MINNODES = TMINNODES, ///< Min elements in node
};
public:
RTree();
RTree(const RTree& other);
~RTree() noexcept;
RTree& operator=(const RTree&);
/// Insert entry
/// \param a_min Min of bounding rect
/// \param a_max Max of bounding rect
/// \param a_dataId Positive Id of data. Maybe zero, but negative numbers not allowed.
void Insert(const ELEMTYPE a_min[NUMDIMS], const ELEMTYPE a_max[NUMDIMS], const DATATYPE& a_dataId);
/// Remove entry
/// \param a_min Min of bounding rect
/// \param a_max Max of bounding rect
/// \param a_dataId Positive Id of data. Maybe zero, but negative numbers not allowed.
void Remove(const ELEMTYPE a_min[NUMDIMS], const ELEMTYPE a_max[NUMDIMS], const DATATYPE& a_dataId);
/// Find all within search rectangle
/// \param a_min Min of search bounding rect
/// \param a_max Max of search bounding rect
/// \param a_searchResult Search result array. Caller should set grow size. Function will reset, not append to array.
/// \param a_resultCallback Callback function to return result. Callback should return 'true' to continue searching
/// \param a_context User context to pass as parameter to a_resultCallback
/// \return Returns the number of entries found
template<typename F> int Search(const ELEMTYPE a_min[NUMDIMS], const ELEMTYPE a_max[NUMDIMS], F&& callback) const;
/// Remove all entries from tree
void RemoveAll();
/// Count the data elements in this container. This is slow as no internal counter is maintained.
int Count() const;
#ifdef RTREE_STDIO
/// Load tree contents from file
bool Load(const char* a_fileName);
/// Load tree contents from stream
bool Load(RTFileStream& a_stream);
/// Save tree contents to file
bool Save(const char* a_fileName);
/// Save tree contents to stream
bool Save(RTFileStream& a_stream);
#endif
/// Iterator is not remove safe.
class Iterator
{
private:
enum { MAX_STACK = 32 }; // Max stack size. Allows almost n^32 where n is number of branches in node
struct StackElement
{
Node* m_node;
int m_branchIndex;
};
public:
Iterator() { Init(); }
~Iterator() { }
/// Is iterator invalid
bool IsNull() { return (m_tos <= 0); }
/// Is iterator pointing to valid data
bool IsNotNull() const { return (m_tos > 0); }
/// Access the current data element. Caller must be sure iterator is not NULL first.
DATATYPE& operator*();
/// Access the current data element. Caller must be sure iterator is not NULL first.
const DATATYPE& operator*() const;
/// Find the next data element
bool operator++() { return FindNextData(); }
/// Get the bounds for this node
void GetBounds(ELEMTYPE a_min[NUMDIMS], ELEMTYPE a_max[NUMDIMS]);
private:
/// Reset iterator
void Init() { m_tos = 0; }
/// Find the next data element in the tree (For internal use only)
bool FindNextData();
/// Push node and branch onto iteration stack (For internal use only)
void Push(Node* a_node, int a_branchIndex);
/// Pop element off iteration stack (For internal use only)
StackElement& Pop();
StackElement m_stack[MAX_STACK]; ///< Stack as we are doing iteration instead of recursion
int m_tos; ///< Top Of Stack index
friend class RTree; // Allow hiding of non-public functions while allowing manipulation by logical owner
};
/// Get 'first' for iteration
void GetFirst(Iterator& a_it);
/// Get Next for iteration
void GetNext(Iterator& a_it) { ++a_it; }
/// Is iterator NULL, or at end?
bool IsNull(Iterator& a_it) { return a_it.IsNull(); }
/// Get object at iterator position
DATATYPE& GetAt(Iterator& a_it) { return *a_it; }
/// Minimal bounding rectangle (n-dimensional)
struct Rect
{
ELEMTYPE m_min[NUMDIMS]; ///< Min dimensions of bounding box
ELEMTYPE m_max[NUMDIMS]; ///< Max dimensions of bounding box
};
/// May be data or may be another subtree
/// The parents level determines this.
/// If the parents level is 0, then this is data
struct Branch
{
Rect m_rect; ///< Bounds
Node* m_child; ///< Child node
DATATYPE m_data; ///< Data Id
};
/// Node for each branch level
struct Node
{
bool IsInternalNode() { return (m_level > 0); } // Not a leaf, but a internal node
bool IsLeaf() { return (m_level == 0); } // A leaf, contains data
int m_count; ///< Count
int m_level; ///< Leaf is zero, others positive
Branch m_branch[MAXNODES]; ///< Branch
};
/// A link list of nodes for reinsertion after a delete operation
struct ListNode
{
ListNode* m_next; ///< Next in list
Node* m_node; ///< Node
};
static floormat::detail::rtree_pool<Node> node_pool;
static floormat::detail::rtree_pool<ListNode> list_node_pool;
protected:
/// Variables for finding a split partition
struct PartitionVars
{
enum { NOT_TAKEN = -1 }; // indicates that position
int m_partition[MAXNODES+1];
int m_total;
int m_minFill;
int m_count[2];
Rect m_cover[2];
ELEMTYPEREAL m_area[2];
Branch m_branchBuf[MAXNODES+1];
int m_branchCount;
Rect m_coverSplit;
ELEMTYPEREAL m_coverSplitArea;
};
Node* AllocNode();
void FreeNode(Node* a_node);
void InitNode(Node* a_node);
void InitRect(Rect* a_rect);
bool InsertRectRec(const Branch& a_branch, Node* a_node, Node** a_newNode, int a_level);
bool InsertRect(const Branch& a_branch, Node** a_root, int a_level);
Rect NodeCover(Node* a_node);
bool AddBranch(const Branch* a_branch, Node* a_node, Node** a_newNode);
void DisconnectBranch(Node* a_node, int a_index);
int PickBranch(const Rect* a_rect, Node* a_node);
Rect CombineRect(const Rect* a_rectA, const Rect* a_rectB);
void SplitNode(Node* a_node, const Branch* a_branch, Node** a_newNode);
ELEMTYPEREAL RectSphericalVolume(Rect* a_rect);
ELEMTYPEREAL RectVolume(Rect* a_rect);
ELEMTYPEREAL CalcRectVolume(Rect* a_rect);
void GetBranches(Node* a_node, const Branch* a_branch, PartitionVars* a_parVars);
void ChoosePartition(PartitionVars* a_parVars, int a_minFill);
void LoadNodes(Node* a_nodeA, Node* a_nodeB, PartitionVars* a_parVars);
void InitParVars(PartitionVars* a_parVars, int a_maxRects, int a_minFill);
void PickSeeds(PartitionVars* a_parVars);
void Classify(int a_index, int a_group, PartitionVars* a_parVars);
bool RemoveRect(Rect* a_rect, const DATATYPE& a_id, Node** a_root);
bool RemoveRectRec(Rect* a_rect, const DATATYPE& a_id, Node* a_node, ListNode** a_listNode);
ListNode* AllocListNode();
void FreeListNode(ListNode* a_listNode);
bool Overlap(Rect* a_rectA, Rect* a_rectB) const;
void ReInsert(Node* a_node, ListNode** a_listNode);
template<typename F> bool Search(Node* a_node, Rect* a_rect, int& a_foundCount, F&& callback) const;
void RemoveAllRec(Node* a_node);
void Reset();
void CountRec(Node* a_node, int& a_count) const;
#ifdef RTREE_STDIO
bool SaveRec(Node* a_node, RTFileStream& a_stream);
bool LoadRec(Node* a_node, RTFileStream& a_stream);
#endif
void CopyRec(Node* current, Node* other);
Node* m_root; ///< Root of tree
ELEMTYPEREAL m_unitSphereVolume; ///< Unit sphere constant for required number of dimensions
public:
// return all the AABBs that form the RTree
void ListTree(std::vector<Rect>& vec, std::vector<Node*>& temp) const;
};
#ifndef RTREE_NO_EXTERN_TEMPLATE
extern template struct floormat::detail::rtree_pool<RTree<floormat::uint64_t, float, 2, float>::Node>;
extern template struct floormat::detail::rtree_pool<RTree<floormat::uint64_t, float, 2, float>::ListNode>;
extern template class RTree<floormat::uint64_t, float, 2, float>;
#endif
//#undef RTREE_TEMPLATE
//#undef RTREE_QUAL
#endif //RTREE_H
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