1 files changed, 28 insertions, 108 deletions

diff --git a/src/core/SkRTree.h b/src/core/SkRTree.h
index 00c6c8941d..440411d9b0 100644
--- a/src/core/SkRTree.h
+++ b/src/core/SkRTree.h
@@ -9,163 +9,83 @@
 #ifndef SkRTree_DEFINED
 #define SkRTree_DEFINED
 
+#include "SkBBoxHierarchy.h"
 #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.
+ * It only supports bulk-loading, i.e. creation from a batch of bounding rectangles.
+ * This performs a bottom-up bulk load using the STR (sort-tile-recursive) algorithm.
  *
- * 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.
+ * 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).
  *
  * 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.
+     * 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();
+    explicit SkRTree(SkScalar aspectRatio = 1);
+    virtual ~SkRTree() {}
 
     virtual void insert(SkAutoTMalloc<SkRect>* boundsArray, int N) SK_OVERRIDE;
     virtual void search(const SkRect& query, SkTDArray<unsigned>* results) const SK_OVERRIDE;
 
-    void clear();
+    // Methods and constants below here are only public for tests.
+
     // Return the depth of the tree structure.
-    int getDepth() const { return this->isEmpty() ? 0 : fRoot.fChild.subtree->fLevel + 1; }
+    int getDepth() const { return fCount ? fRoot.fSubtree->fLevel + 1 : 0; }
     // Insertion count (not overall node count, which may be greater).
     int getCount() const { return fCount; }
 
+    // These values were empirically determined to produce reasonable performance in most cases.
+    static const int kMinChildren = 6,
+                     kMaxChildren = 11;
 private:
-    bool isEmpty() const { return 0 == this->getCount(); }
-
     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;
-            unsigned opIndex;
-        } fChild;
-        SkIRect fBounds;
+            Node* fSubtree;
+            unsigned fOpIndex;
+        };
+        SkRect 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);
-        }
+        Branch fChildren[kMaxChildren];
     };
 
-    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<unsigned>* results) const;
+    void search(Node* root, const SkRect& query, SkTDArray<unsigned>* 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).
-     */
+    // Consumes the input array.
     Branch bulkLoad(SkTDArray<Branch>* branches, int level = 0);
 
-    void validate() const;
-    int validateSubtree(Node* root, SkIRect bounds, bool isRoot = false) const;
+    // How many times will bulkLoad() call allocateNodeAtLevel()?
+    static int CountNodes(int branches, SkScalar aspectRatio);
 
-    const int fMinChildren;
-    const int fMaxChildren;
-    const size_t fNodeSize;
+    Node* allocateNodeAtLevel(uint16_t level);
 
     // This is the count of data elements (rather than total nodes in the tree)
     int fCount;
-
-    Branch fRoot;
-    SkChunkAlloc fNodes;
     SkScalar fAspectRatio;
-    bool fSortWhenBulkLoading;
-
-    Node* allocateNode(uint16_t level);
+    Branch fRoot;
+    SkTDArray<Node> fNodes;
 
     typedef SkBBoxHierarchy INHERITED;
 };