| 1 | /* | 
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| 2 | * Copyright 2012 Google Inc. | 
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| 3 | * | 
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| 4 | * Use of this source code is governed by a BSD-style license that can be | 
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| 5 | * found in the LICENSE file. | 
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| 6 | */ | 
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| 7 |  | 
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| 8 | #ifndef SkRTree_DEFINED | 
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| 9 | #define SkRTree_DEFINED | 
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| 10 |  | 
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| 11 | #include "include/core/SkBBHFactory.h" | 
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| 12 | #include "include/core/SkRect.h" | 
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| 13 |  | 
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| 14 | /** | 
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| 15 | * An R-Tree implementation. In short, it is a balanced n-ary tree containing a hierarchy of | 
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| 16 | * bounding rectangles. | 
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| 17 | * | 
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| 18 | * It only supports bulk-loading, i.e. creation from a batch of bounding rectangles. | 
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| 19 | * This performs a bottom-up bulk load using the STR (sort-tile-recursive) algorithm. | 
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| 20 | * | 
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| 21 | * TODO: Experiment with other bulk-load algorithms (in particular the Hilbert pack variant, | 
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| 22 | * which groups rects by position on the Hilbert curve, is probably worth a look). There also | 
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| 23 | * exist top-down bulk load variants (VAMSplit, TopDownGreedy, etc). | 
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| 24 | * | 
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| 25 | * For more details see: | 
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| 26 | * | 
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| 27 | *  Beckmann, N.; Kriegel, H. P.; Schneider, R.; Seeger, B. (1990). "The R*-tree: | 
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| 28 | *      an efficient and robust access method for points and rectangles" | 
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| 29 | */ | 
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| 30 | class SkRTree : public SkBBoxHierarchy { | 
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| 31 | public: | 
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| 32 | SkRTree(); | 
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| 33 |  | 
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| 34 | void insert(const SkRect[], int N) override; | 
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| 35 | void search(const SkRect& query, std::vector<int>* results) const override; | 
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| 36 | size_t bytesUsed() const override; | 
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| 37 |  | 
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| 38 | // Methods and constants below here are only public for tests. | 
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| 39 |  | 
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| 40 | // Return the depth of the tree structure. | 
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| 41 | int getDepth() const { return fCount ? fRoot.fSubtree->fLevel + 1 : 0; } | 
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| 42 | // Insertion count (not overall node count, which may be greater). | 
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| 43 | int getCount() const { return fCount; } | 
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| 44 |  | 
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| 45 | // These values were empirically determined to produce reasonable performance in most cases. | 
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| 46 | static const int kMinChildren = 6, | 
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| 47 | kMaxChildren = 11; | 
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| 48 |  | 
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| 49 | private: | 
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| 50 | struct Node; | 
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| 51 |  | 
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| 52 | struct Branch { | 
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| 53 | union { | 
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| 54 | Node* fSubtree; | 
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| 55 | int fOpIndex; | 
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| 56 | }; | 
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| 57 | SkRect fBounds; | 
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| 58 | }; | 
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| 59 |  | 
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| 60 | struct Node { | 
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| 61 | uint16_t fNumChildren; | 
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| 62 | uint16_t fLevel; | 
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| 63 | Branch fChildren[kMaxChildren]; | 
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| 64 | }; | 
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| 65 |  | 
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| 66 | void search(Node* root, const SkRect& query, std::vector<int>* results) const; | 
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| 67 |  | 
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| 68 | // Consumes the input array. | 
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| 69 | Branch bulkLoad(std::vector<Branch>* branches, int level = 0); | 
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| 70 |  | 
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| 71 | // How many times will bulkLoad() call allocateNodeAtLevel()? | 
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| 72 | static int CountNodes(int branches); | 
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| 73 |  | 
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| 74 | Node* allocateNodeAtLevel(uint16_t level); | 
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| 75 |  | 
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| 76 | // This is the count of data elements (rather than total nodes in the tree) | 
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| 77 | int fCount; | 
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| 78 | Branch fRoot; | 
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| 79 | std::vector<Node> fNodes; | 
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| 80 | }; | 
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| 81 |  | 
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| 82 | #endif | 
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| 83 |  | 
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