android / platform / external / chromium_org / third_party / skia / src / eb8698b / . / core / SkRTree.h

/* | |

* Copyright 2012 Google Inc. | |

* | |

* Use of this source code is governed by a BSD-style license that can be | |

* found in the LICENSE file. | |

*/ | |

#ifndef SkRTree_DEFINED | |

#define SkRTree_DEFINED | |

#include "SkRect.h" | |

#include "SkTDArray.h" | |

#include "SkChunkAlloc.h" | |

#include "SkBBoxHierarchy.h" | |

/** | |

* An R-Tree implementation. In short, it is a balanced n-ary tree containing a hierarchy of | |

* bounding rectangles. | |

* | |

* Much like a B-Tree it maintains balance by enforcing minimum and maximum child counts, and | |

* splitting nodes when they become overfull. Unlike B-trees, however, we're using spatial data; so | |

* there isn't a canonical ordering to use when choosing insertion locations and splitting | |

* distributions. A variety of heuristics have been proposed for these problems; here, we're using | |

* something resembling an R*-tree, which attempts to minimize area and overlap during insertion, | |

* and aims to minimize a combination of margin, overlap, and area when splitting. | |

* | |

* One detail that is thus far unimplemented that may improve tree quality is attempting to remove | |

* and reinsert nodes when they become full, instead of immediately splitting (nodes that may have | |

* been placed well early on may hurt the tree later when more nodes have been added; removing | |

* and reinserting nodes generally helps reduce overlap and make a better tree). Deletion of nodes | |

* is also unimplemented. | |

* | |

* For more details see: | |

* | |

* Beckmann, N.; Kriegel, H. P.; Schneider, R.; Seeger, B. (1990). "The R*-tree: | |

* an efficient and robust access method for points and rectangles" | |

* | |

* It also supports bulk-loading from a batch of bounds and values; if you don't require the tree | |

* to be usable in its intermediate states while it is being constructed, this is significantly | |

* quicker than individual insertions and produces more consistent trees. | |

*/ | |

class SkRTree : public SkBBoxHierarchy { | |

public: | |

SK_DECLARE_INST_COUNT(SkRTree) | |

/** | |

* Create a new R-Tree with specified min/max child counts. | |

* The child counts are valid iff: | |

* - (max + 1) / 2 >= min (splitting an overfull node must be enough to populate 2 nodes) | |

* - min < max | |

* - min > 0 | |

* - max < SK_MaxU16 | |

* If you have some prior information about the distribution of bounds you're expecting, you | |

* can provide an optional aspect ratio parameter. This allows the bulk-load algorithm to create | |

* better proportioned tiles of rectangles. | |

*/ | |

static SkRTree* Create(int minChildren, int maxChildren, SkScalar aspectRatio = 1, | |

bool orderWhenBulkLoading = true); | |

virtual ~SkRTree(); | |

/** | |

* Insert a node, consisting of bounds and a data value into the tree, if we don't immediately | |

* need to use the tree; we may allow the insert to be deferred (this can allow us to bulk-load | |

* a large batch of nodes at once, which tends to be faster and produce a better tree). | |

* @param data The data value | |

* @param bounds The corresponding bounding box | |

* @param defer Can this insert be deferred? (this may be ignored) | |

*/ | |

virtual void insert(void* data, const SkIRect& bounds, bool defer = false); | |

/** | |

* If any inserts have been deferred, this will add them into the tree | |

*/ | |

virtual void flushDeferredInserts(); | |

/** | |

* Given a query rectangle, populates the passed-in array with the elements it intersects | |

*/ | |

virtual void search(const SkIRect& query, SkTDArray<void*>* results); | |

virtual void clear(); | |

bool isEmpty() const { return 0 == fCount; } | |

int getDepth() const { return this->isEmpty() ? 0 : fRoot.fChild.subtree->fLevel + 1; } | |

/** | |

* This gets the insertion count (rather than the node count) | |

*/ | |

virtual int getCount() const { return fCount; } | |

virtual void rewindInserts() SK_OVERRIDE; | |

private: | |

struct Node; | |

/** | |

* A branch of the tree, this may contain a pointer to another interior node, or a data value | |

*/ | |

struct Branch { | |

union { | |

Node* subtree; | |

void* data; | |

} fChild; | |

SkIRect fBounds; | |

}; | |

/** | |

* A node in the tree, has between fMinChildren and fMaxChildren (the root is a special case) | |

*/ | |

struct Node { | |

uint16_t fNumChildren; | |

uint16_t fLevel; | |

bool isLeaf() { return 0 == fLevel; } | |

// Since we want to be able to pick min/max child counts at runtime, we assume the creator | |

// has allocated sufficient space directly after us in memory, and index into that space | |

Branch* child(size_t index) { | |

return reinterpret_cast<Branch*>(this + 1) + index; | |

} | |

}; | |

typedef int32_t SkIRect::*SortSide; | |

// Helper for sorting our children arrays by sides of their rects | |

struct RectLessThan { | |

RectLessThan(SkRTree::SortSide side) : fSide(side) { } | |

bool operator()(const SkRTree::Branch lhs, const SkRTree::Branch rhs) const { | |

return lhs.fBounds.*fSide < rhs.fBounds.*fSide; | |

} | |

private: | |

const SkRTree::SortSide fSide; | |

}; | |

struct RectLessX { | |

bool operator()(const SkRTree::Branch lhs, const SkRTree::Branch rhs) { | |

return ((lhs.fBounds.fRight - lhs.fBounds.fLeft) >> 1) < | |

((rhs.fBounds.fRight - lhs.fBounds.fLeft) >> 1); | |

} | |

}; | |

struct RectLessY { | |

bool operator()(const SkRTree::Branch lhs, const SkRTree::Branch rhs) { | |

return ((lhs.fBounds.fBottom - lhs.fBounds.fTop) >> 1) < | |

((rhs.fBounds.fBottom - lhs.fBounds.fTop) >> 1); | |

} | |

}; | |

SkRTree(int minChildren, int maxChildren, SkScalar aspectRatio, bool orderWhenBulkLoading); | |

/** | |

* Recursively descend the tree to find an insertion position for 'branch', updates | |

* bounding boxes on the way up. | |

*/ | |

Branch* insert(Node* root, Branch* branch, uint16_t level = 0); | |

int chooseSubtree(Node* root, Branch* branch); | |

SkIRect computeBounds(Node* n); | |

int distributeChildren(Branch* children); | |

void search(Node* root, const SkIRect query, SkTDArray<void*>* results) const; | |

/** | |

* This performs a bottom-up bulk load using the STR (sort-tile-recursive) algorithm, this | |

* seems to generally produce better, more consistent trees at significantly lower cost than | |

* repeated insertions. | |

* | |

* This consumes the input array. | |

* | |

* TODO: Experiment with other bulk-load algorithms (in particular the Hilbert pack variant, | |

* which groups rects by position on the Hilbert curve, is probably worth a look). There also | |

* exist top-down bulk load variants (VAMSplit, TopDownGreedy, etc). | |

*/ | |

Branch bulkLoad(SkTDArray<Branch>* branches, int level = 0); | |

void validate(); | |

int validateSubtree(Node* root, SkIRect bounds, bool isRoot = false); | |

const int fMinChildren; | |

const int fMaxChildren; | |

const size_t fNodeSize; | |

// This is the count of data elements (rather than total nodes in the tree) | |

int fCount; | |

Branch fRoot; | |

SkChunkAlloc fNodes; | |

SkTDArray<Branch> fDeferredInserts; | |

SkScalar fAspectRatio; | |

bool fSortWhenBulkLoading; | |

Node* allocateNode(uint16_t level); | |

typedef SkBBoxHierarchy INHERITED; | |

}; | |

#endif |