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Unified Diff: trunk/src/ui/gfx/geometry/r_tree.h

Issue 338833004: Revert 276827 "readability review for luken" (Closed) Base URL: svn://svn.chromium.org/chrome/
Patch Set: Created 6 years, 6 months ago
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Index: trunk/src/ui/gfx/geometry/r_tree.h
===================================================================
--- trunk/src/ui/gfx/geometry/r_tree.h (revision 277531)
+++ trunk/src/ui/gfx/geometry/r_tree.h (working copy)
@@ -2,7 +2,22 @@
// Use of this source code is governed by a BSD-style license that can be
// found in the LICENSE file.
-// Defines a hierarchical bounding rectangle data structure for Rect objects,
+#ifndef UI_GFX_GEOMETRY_R_TREE_H_
+#define UI_GFX_GEOMETRY_R_TREE_H_
+
+#include <vector>
+
+#include "base/containers/hash_tables.h"
+#include "base/gtest_prod_util.h"
+#include "base/macros.h"
+#include "base/memory/scoped_ptr.h"
+#include "base/memory/scoped_vector.h"
+#include "ui/gfx/geometry/rect.h"
+#include "ui/gfx/gfx_export.h"
+
+namespace gfx {
+
+// Defines a heirarchical bounding rectangle data structure for Rect objects,
// associated with a generic unique key K for efficient spatial queries. The
// R*-tree algorithm is used to build the trees. Based on the papers:
//
@@ -12,169 +27,270 @@
// N Beckmann, H-P Kriegel, R Schneider, B Seeger 'The R*-tree: an efficient and
// robust access method for points and rectangles', Proc ACM SIGMOD Int Conf on
// Management of Data, 322-331, 1990
-
-#ifndef UI_GFX_GEOMETRY_R_TREE_H_
-#define UI_GFX_GEOMETRY_R_TREE_H_
-
-#include "r_tree_base.h"
-
-namespace gfx {
-
-template <typename Key>
-class RTree : public RTreeBase {
+class GFX_EXPORT RTree {
public:
- typedef base::hash_set<Key> Matches;
-
- // RTrees organize pairs of keys and rectangles in a hierarchical bounding
- // box structure. This allows for queries of the tree within logarithmic time.
- // |min_children| and |max_children| allows for adjustment of the average size
- // of the nodes within RTree, which adjusts the base of the logarithm in the
- // algorithm runtime. Some parts of insertion and deletion are polynomial
- // in the size of the individual node, so the trade-off with larger nodes is
- // potentially faster queries but slower insertions and deletions. Generally
- // it is worth considering how much overlap between rectangles of different
- // keys will occur in the tree, and trying to set |max_children| as a
- // reasonable upper bound to the number of overlapping rectangles expected.
- // Then |min_children| can bet set to a quantity slightly less than half of
- // that.
RTree(size_t min_children, size_t max_children);
~RTree();
// Insert a new rect into the tree, associated with provided key. Note that if
- // |rect| is empty, the |key| will not actually be inserted. Duplicate keys
+ // rect is empty, this rect will not actually be inserted. Duplicate keys
// overwrite old entries.
- void Insert(const Rect& rect, Key key);
+ void Insert(const Rect& rect, intptr_t key);
- // If present, remove the supplied |key| from the tree.
- void Remove(Key key);
+ // If present, remove the supplied key from the tree.
+ void Remove(intptr_t key);
- // Fills |matches_out| with all keys having bounding rects intersecting
- // |query_rect|.
- void AppendIntersectingRecords(const Rect& query_rect,
- Matches* matches_out) const;
+ // Fills a supplied list matches_out with all keys having bounding rects
+ // intersecting query_rect.
+ void Query(const Rect& query_rect,
+ base::hash_set<intptr_t>* matches_out) const;
+ // Removes all objects from the tree.
void Clear();
private:
- friend class RTreeTest;
- friend class RTreeNodeTest;
-
- class Record : public RecordBase {
+ // Private data structure class for storing internal nodes or leaves with keys
+ // of R-Trees. Note that "leaf" nodes can still have children, the children
+ // will all be Nodes with non-NULL record pointers.
+ class GFX_EXPORT Node {
public:
- Record(const Rect& rect, const Key& key);
- virtual ~Record();
- const Key& key() const { return key_; }
+ // Level counts from -1 for "record" Nodes, that is Nodes that wrap key
+ // values, to 0 for leaf Nodes, that is Nodes that only have record
+ // children, up to the root Node, which has level equal to the height of the
+ // tree.
+ explicit Node(int level);
+ // Builds a new record Node.
+ Node(const Rect& rect, intptr_t key);
+
+ virtual ~Node();
+
+ // Deletes all children and any attached record.
+ void Clear();
+
+ // Recursive call to build a list of rects that intersect the query_rect.
+ void Query(const Rect& query_rect,
+ base::hash_set<intptr_t>* matches_out) const;
+
+ // Recompute our bounds by taking the union of all children rects. Will then
+ // call RecomputeBounds() on our parent for recursive bounds recalculation
+ // up to the root.
+ void RecomputeBounds();
+
+ // Removes number_to_remove nodes from this Node, and appends them to the
+ // supplied list. Does not repair bounds upon completion.
+ void RemoveNodesForReinsert(size_t number_to_remove,
+ ScopedVector<Node>* nodes);
+
+ // Given a pointer to a child node within this Node, remove it from our
+ // list. If that child had any children, append them to the supplied orphan
+ // list. Returns the new count of this node after removal. Does not
+ // recompute bounds, as this node itself may be removed if it now has too
+ // few children.
+ size_t RemoveChild(Node* child_node, ScopedVector<Node>* orphans);
+
+ // Does what it says on the tin. Returns NULL if no children. Does not
+ // recompute bounds.
+ scoped_ptr<Node> RemoveAndReturnLastChild();
+
+ // Given a node, returns the best fit node for insertion of that node at
+ // the nodes level().
+ Node* ChooseSubtree(Node* node);
+
+ // Adds the provided node to this Node. Returns the new count of records
+ // stored in the Node. Will recompute the bounds of this node after
+ // addition.
+ size_t AddChild(Node* node);
+
+ // Returns a sibling to this Node with at least min_children and no greater
+ // than max_children of this Node's children assigned to it, and having the
+ // same parent. Bounds will be valid on both Nodes after this call.
+ Node* Split(size_t min_children, size_t max_children);
+
+ // For record nodes only, to support re-insert, allows setting the rect.
+ void SetRect(const Rect& rect);
+
+ // Returns a pointer to the parent of this Node, or NULL if no parent.
+ Node* parent() const { return parent_; }
+
+ // 0 level() would mean that this Node is a leaf. 1 would mean that this
+ // Node has children that are leaves. Calling level() on root_ returns the
+ // height of the tree - 1. A level of -1 means that this is a Record node.
+ int level() const { return level_; }
+
+ const Rect& rect() const { return rect_; }
+
+ size_t count() const { return children_.size(); }
+
+ intptr_t key() const { return key_; }
+
private:
- Key key_;
+ // Returns all records stored in this node and its children.
+ void GetAllValues(base::hash_set<intptr_t>* matches_out) const;
- DISALLOW_COPY_AND_ASSIGN(Record);
- };
+ // Used for sorting Nodes along vertical and horizontal axes
+ static bool CompareVertical(Node* a, Node* b);
- // A map of supplied keys to their Node representation within the RTree, for
- // efficient retrieval of keys without requiring a bounding rect.
- typedef base::hash_map<Key, Record*> RecordMap;
- RecordMap record_map_;
+ static bool CompareHorizontal(Node* a, Node* b);
- DISALLOW_COPY_AND_ASSIGN(RTree);
-};
+ static bool CompareCenterDistanceFromParent(Node* a, Node* b);
-template <typename Key>
-RTree<Key>::RTree(size_t min_children, size_t max_children)
- : RTreeBase(min_children, max_children) {
-}
+ // Returns the increase in overlap value, as defined in Beckmann et al as
+ // the sum of the areas of the intersection of each |children_| rectangle
+ // (excepting the candidate child) with the argument rectangle. The
+ // expanded_rect argument is computed as the union of the candidate child
+ // rect and the argument rect, and is included here to avoid recomputation.
+ // Here the candidate child is indicated by index in |children_|, and
+ // expanded_rect is the alread-computed union of candidate's rect and
+ // rect.
+ int OverlapIncreaseToAdd(const Rect& rect,
+ size_t candidate,
+ const Rect& expanded_rect);
-template <typename Key>
-RTree<Key>::~RTree() {
-}
+ // Bounds recomputation without calling parents to do the same.
+ void RecomputeBoundsNoParents();
-template <typename Key>
-void RTree<Key>::Insert(const Rect& rect, Key key) {
- scoped_ptr<NodeBase> record;
- // Check if this key is already present in the tree.
- typename RecordMap::iterator it(record_map_.find(key));
+ // Split() helper methods.
+ //
+ // Given two vectors of Nodes sorted by vertical or horizontal bounds, this
+ // function populates two vectors of Rectangles in which the ith element is
+ // the Union of all bounding rectangles [0,i] in the associated sorted array
+ // of Nodes.
+ static void BuildLowBounds(const std::vector<Node*>& vertical_sort,
+ const std::vector<Node*>& horizontal_sort,
+ std::vector<Rect>* vertical_bounds,
+ std::vector<Rect>* horizontal_bounds);
- if (it != record_map_.end()) {
- // We will re-use this node structure, regardless of re-insert or return.
- Record* existing_record = it->second;
- // If the new rect and the current rect are identical we can skip the rest
- // of Insert() as nothing has changed.
- if (existing_record->rect() == rect)
- return;
+ // Given two vectors of Nodes sorted by vertical or horizontal bounds, this
+ // function populates two vectors of Rectangles in which the ith element is
+ // the Union of all bounding rectangles [i, count()) in the associated
+ // sorted array of Nodes.
+ static void BuildHighBounds(const std::vector<Node*>& vertical_sort,
+ const std::vector<Node*>& horizontal_sort,
+ std::vector<Rect>* vertical_bounds,
+ std::vector<Rect>* horizontal_bounds);
- // Remove the node from the tree in its current position.
- record = RemoveNode(existing_record);
+ // Returns true if this is a vertical split, false if a horizontal one.
+ // Based on ChooseSplitAxis algorithm in Beckmann et al. Chooses the axis
+ // with the lowest sum of margin values of bounding boxes.
+ static bool ChooseSplitAxis(const std::vector<Rect>& low_vertical_bounds,
+ const std::vector<Rect>& high_vertical_bounds,
+ const std::vector<Rect>& low_horizontal_bounds,
+ const std::vector<Rect>& high_horizontal_bounds,
+ size_t min_children,
+ size_t max_children);
- // If we are replacing this key with an empty rectangle we just remove the
- // old node from the list and return, thus preventing insertion of empty
- // rectangles into our spatial database.
- if (rect.IsEmpty()) {
- record_map_.erase(it);
- return;
- }
+ // Used by SplitNode to calculate optimal index of split, after determining
+ // along which axis to sort and split the children rectangles. Returns the
+ // index to the first element in the split children as sorted by the bounds
+ // vectors.
+ static size_t ChooseSplitIndex(size_t min_children,
+ size_t max_children,
+ const std::vector<Rect>& low_bounds,
+ const std::vector<Rect>& high_bounds);
- // Reset the rectangle to the new value.
- record->set_rect(rect);
- } else {
- if (rect.IsEmpty())
- return;
+ // Takes our children_ and divides them into a new node, starting at index
+ // split_index in sorted_children.
+ Node* DivideChildren(const std::vector<Rect>& low_bounds,
+ const std::vector<Rect>& high_bounds,
+ const std::vector<Node*>& sorted_children,
+ size_t split_index);
- record.reset(new Record(rect, key));
- record_map_.insert(std::make_pair(key, static_cast<Record*>(record.get())));
- }
+ // Returns a pointer to the child node that will result in the least overlap
+ // increase with the addition of node_rect, as defined in the Beckmann et al
+ // paper, or NULL if there's a tie found. Requires a precomputed vector of
+ // expanded rectangles where the ith rectangle in the vector is the union of
+ // |children_|[i] and node_rect.
+ Node* LeastOverlapIncrease(const Rect& node_rect,
+ const std::vector<Rect>& expanded_rects);
- int highest_reinsert_level = -1;
- InsertNode(record.Pass(), &highest_reinsert_level);
-}
+ // Returns a pointer to the child node that will result in the least area
+ // enlargement if the argument node rectangle were to be added to that
+ // nodes' bounding box. Requires a precomputed vector of expanded rectangles
+ // where the ith rectangle in the vector is the union of |children_|[i] and
+ // node_rect.
+ Node* LeastAreaEnlargement(const Rect& node_rect,
+ const std::vector<Rect>& expanded_rects);
-template <typename Key>
-void RTree<Key>::Clear() {
- record_map_.clear();
- ResetRoot();
-}
+ // This Node's bounding rectangle.
+ Rect rect_;
-template <typename Key>
-void RTree<Key>::Remove(Key key) {
- // Search the map for the leaf parent that has the provided record.
- typename RecordMap::iterator it = record_map_.find(key);
- if (it == record_map_.end())
- return;
+ // The height of the node in the tree, counting from -1 at the record node
+ // to 0 at the leaf up to the root node which has level equal to the height
+ // of the tree.
+ int level_;
- Record* record = it->second;
- record_map_.erase(it);
- RemoveNode(record);
+ // Pointers to all of our children Nodes.
+ ScopedVector<Node> children_;
- // Lastly check the root. If it has only one non-leaf child, delete it and
- // replace it with its child.
- PruneRootIfNecessary();
-}
+ // A weak pointer to our parent Node in the RTree. The root node will have a
+ // NULL value for |parent_|.
+ Node* parent_;
-template <typename Key>
-void RTree<Key>::AppendIntersectingRecords(
- const Rect& query_rect, Matches* matches_out) const {
- RTreeBase::Records matching_records;
- root()->AppendIntersectingRecords(query_rect, &matching_records);
- for (RTreeBase::Records::const_iterator it = matching_records.begin();
- it != matching_records.end();
- ++it) {
- const Record* record = static_cast<const Record*>(*it);
- matches_out->insert(record->key());
- }
-}
+ // If this is a record Node, then |key_| will be non-NULL and will contain
+ // the key data. Otherwise, NULL.
+ intptr_t key_;
+ friend class RTreeTest;
+ FRIEND_TEST_ALL_PREFIXES(RTreeTest, NodeBuildHighBounds);
+ FRIEND_TEST_ALL_PREFIXES(RTreeTest, NodeBuildLowBounds);
+ FRIEND_TEST_ALL_PREFIXES(RTreeTest, NodeChooseSplitAxisAndIndex);
+ FRIEND_TEST_ALL_PREFIXES(RTreeTest, NodeChooseSubtree);
+ FRIEND_TEST_ALL_PREFIXES(RTreeTest, NodeCompareCenterDistanceFromParent);
+ FRIEND_TEST_ALL_PREFIXES(RTreeTest, NodeCompareHorizontal);
+ FRIEND_TEST_ALL_PREFIXES(RTreeTest, NodeCompareVertical);
+ FRIEND_TEST_ALL_PREFIXES(RTreeTest, NodeDivideChildren);
+ FRIEND_TEST_ALL_PREFIXES(RTreeTest, NodeLeastAreaEnlargement);
+ FRIEND_TEST_ALL_PREFIXES(RTreeTest, NodeLeastOverlapIncrease);
+ FRIEND_TEST_ALL_PREFIXES(RTreeTest, NodeOverlapIncreaseToAdd);
+ FRIEND_TEST_ALL_PREFIXES(RTreeTest, NodeRemoveAndReturnLastChild);
+ FRIEND_TEST_ALL_PREFIXES(RTreeTest, NodeRemoveChildNoOrphans);
+ FRIEND_TEST_ALL_PREFIXES(RTreeTest, NodeRemoveChildOrphans);
+ FRIEND_TEST_ALL_PREFIXES(RTreeTest, NodeRemoveNodesForReinsert);
+ FRIEND_TEST_ALL_PREFIXES(RTreeTest, NodeSplit);
-// RTree::Record --------------------------------------------------------------
+ DISALLOW_COPY_AND_ASSIGN(Node);
+ };
-template <typename Key>
-RTree<Key>::Record::Record(const Rect& rect, const Key& key)
- : RecordBase(rect),
- key_(key) {
-}
+ // Supports re-insertion of Nodes based on the strategies outlined in
+ // Beckmann et al.
+ void InsertNode(Node* node, int* highset_reinsert_level);
-template <typename Key>
-RTree<Key>::Record::~Record() {
-}
+ // Supports removal of nodes for tree without deletion.
+ void RemoveNode(Node* node);
+ // A pointer to the root node in the RTree.
+ scoped_ptr<Node> root_;
+
+ // The parameters used to define the shape of the RTree.
+ size_t min_children_;
+ size_t max_children_;
+
+ // A map of supplied keys to their Node representation within the RTree, for
+ // efficient retrieval of keys without requiring a bounding rect.
+ base::hash_map<intptr_t, Node*> record_map_;
+
+ friend class RTreeTest;
+ FRIEND_TEST_ALL_PREFIXES(RTreeTest, NodeBuildHighBounds);
+ FRIEND_TEST_ALL_PREFIXES(RTreeTest, NodeBuildLowBounds);
+ FRIEND_TEST_ALL_PREFIXES(RTreeTest, NodeChooseSplitAxisAndIndex);
+ FRIEND_TEST_ALL_PREFIXES(RTreeTest, NodeChooseSubtree);
+ FRIEND_TEST_ALL_PREFIXES(RTreeTest, NodeCompareCenterDistanceFromParent);
+ FRIEND_TEST_ALL_PREFIXES(RTreeTest, NodeCompareHorizontal);
+ FRIEND_TEST_ALL_PREFIXES(RTreeTest, NodeCompareVertical);
+ FRIEND_TEST_ALL_PREFIXES(RTreeTest, NodeDivideChildren);
+ FRIEND_TEST_ALL_PREFIXES(RTreeTest, NodeLeastAreaEnlargement);
+ FRIEND_TEST_ALL_PREFIXES(RTreeTest, NodeLeastOverlapIncrease);
+ FRIEND_TEST_ALL_PREFIXES(RTreeTest, NodeOverlapIncreaseToAdd);
+ FRIEND_TEST_ALL_PREFIXES(RTreeTest, NodeRemoveAndReturnLastChild);
+ FRIEND_TEST_ALL_PREFIXES(RTreeTest, NodeRemoveChildNoOrphans);
+ FRIEND_TEST_ALL_PREFIXES(RTreeTest, NodeRemoveChildOrphans);
+ FRIEND_TEST_ALL_PREFIXES(RTreeTest, NodeRemoveNodesForReinsert);
+ FRIEND_TEST_ALL_PREFIXES(RTreeTest, NodeSplit);
+
+ DISALLOW_COPY_AND_ASSIGN(RTree);
+};
+
} // namespace gfx
#endif // UI_GFX_GEOMETRY_R_TREE_H_
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