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20
vendor/github.com/steveyen/gtreap/LICENSE
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vendor/github.com/steveyen/gtreap/LICENSE
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Copyright (C) 2012 Steve Yen
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Permission is hereby granted, free of charge, to any person obtaining
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a copy of this software and associated documentation files (the
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"Software"), to deal in the Software without restriction, including
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without limitation the rights to use, copy, modify, merge, publish,
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distribute, sublicense, and/or sell copies of the Software, and to
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permit persons to whom the Software is furnished to do so, subject to
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the following conditions:
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The above copyright notice and this permission notice shall be
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included in all copies or substantial portions of the Software.
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THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND,
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EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF
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MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND
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NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE
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LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION
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OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION
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WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE.
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vendor/github.com/steveyen/gtreap/README.md
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gtreap
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------
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gtreap is an immutable treap implementation in the Go Language
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[](https://godoc.org/github.com/steveyen/gtreap) [](https://drone.io/github.com/steveyen/gtreap/latest) [](https://coveralls.io/r/steveyen/gtreap)
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Overview
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========
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gtreap implements an immutable treap data structure in golang.
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By treap, this data structure is both a heap and a binary search tree.
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By immutable, any updates/deletes to a treap will return a new treap
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which can share internal nodes with the previous treap. All nodes in
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this implementation are read-only after their creation. This allows
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concurrent readers to operate safely with concurrent writers as
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modifications only create new data structures and never modify
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existing data structures. This is a simple approach to achieving MVCC
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or multi-version concurrency control.
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By heap, items in the treap follow the heap-priority property, where a
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parent node will have higher priority than its left and right children
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nodes.
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By binary search tree, items are store lexigraphically, ordered by a
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user-supplied Compare function.
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To get a probabilistic O(lg N) tree height, you should use a random
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priority number during the Upsert() operation.
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LICENSE
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=======
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MIT
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Example
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=======
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import (
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"math/rand"
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"github.com/steveyen/gtreap"
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)
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func stringCompare(a, b interface{}) int {
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return bytes.Compare([]byte(a.(string)), []byte(b.(string)))
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}
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t := gtreap.NewTreap(stringCompare)
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t = t.Upsert("hi", rand.Int())
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t = t.Upsert("hola", rand.Int())
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t = t.Upsert("bye", rand.Int())
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t = t.Upsert("adios", rand.Int())
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hi = t.Get("hi")
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bye = t.Get("bye")
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// Some example Delete()'s...
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t = t.Delete("bye")
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nilValueHere = t.Get("bye")
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t2 = t.Delete("hi")
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nilValueHere2 = t2.Get("hi")
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// Since we still hold onto treap t, we can still access "hi".
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hiStillExistsInTreapT = t.Get("hi")
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t.VisitAscend("cya", func(i Item) bool {
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// This visitor callback will be invoked with every item
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// from "cya" onwards. So: "hi", "hola".
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// If we want to stop visiting, return false;
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// otherwise a true return result means keep visiting items.
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return true
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})
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Tips
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====
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The Upsert() method takes both an Item (an interface{}) and a heap
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priority. Usually, that priority should be a random int
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(math/rand.Int()) or perhaps even a hash of the item. However, if you
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want to shuffle more commonly accessed items nearer to the top of the
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treap for faster access, at the potential cost of not approaching a
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probabilistic O(lg N) tree height, then you might tweak the priority.
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See also
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========
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For a simple, ordered, key-value storage or persistence library built
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on immutable treaps, see: https://github.com/steveyen/gkvlite
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188
vendor/github.com/steveyen/gtreap/treap.go
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vendor/github.com/steveyen/gtreap/treap.go
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package gtreap
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type Treap struct {
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compare Compare
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root *node
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}
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// Compare returns an integer comparing the two items
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// lexicographically. The result will be 0 if a==b, -1 if a < b, and
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// +1 if a > b.
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type Compare func(a, b interface{}) int
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// Item can be anything.
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type Item interface{}
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type node struct {
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item Item
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priority int
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left *node
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right *node
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}
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func NewTreap(c Compare) *Treap {
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return &Treap{compare: c, root: nil}
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}
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func (t *Treap) Min() Item {
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n := t.root
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if n == nil {
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return nil
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}
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for n.left != nil {
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n = n.left
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}
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return n.item
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}
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func (t *Treap) Max() Item {
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n := t.root
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if n == nil {
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return nil
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}
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for n.right != nil {
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n = n.right
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}
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return n.item
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}
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func (t *Treap) Get(target Item) Item {
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n := t.root
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for n != nil {
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c := t.compare(target, n.item)
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if c < 0 {
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n = n.left
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} else if c > 0 {
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n = n.right
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} else {
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return n.item
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}
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}
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return nil
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}
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// Note: only the priority of the first insert of an item is used.
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// Priorities from future updates on already existing items are
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// ignored. To change the priority for an item, you need to do a
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// Delete then an Upsert.
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func (t *Treap) Upsert(item Item, itemPriority int) *Treap {
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r := t.union(t.root, &node{item: item, priority: itemPriority})
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return &Treap{compare: t.compare, root: r}
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}
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func (t *Treap) union(this *node, that *node) *node {
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if this == nil {
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return that
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}
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if that == nil {
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return this
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}
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if this.priority > that.priority {
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left, middle, right := t.split(that, this.item)
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if middle == nil {
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return &node{
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item: this.item,
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priority: this.priority,
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left: t.union(this.left, left),
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right: t.union(this.right, right),
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}
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}
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return &node{
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item: middle.item,
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priority: this.priority,
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left: t.union(this.left, left),
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right: t.union(this.right, right),
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}
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}
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// We don't use middle because the "that" has precendence.
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left, _, right := t.split(this, that.item)
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return &node{
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item: that.item,
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priority: that.priority,
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left: t.union(left, that.left),
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right: t.union(right, that.right),
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}
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}
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// Splits a treap into two treaps based on a split item "s".
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// The result tuple-3 means (left, X, right), where X is either...
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// nil - meaning the item s was not in the original treap.
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// non-nil - returning the node that had item s.
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// The tuple-3's left result treap has items < s,
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// and the tuple-3's right result treap has items > s.
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func (t *Treap) split(n *node, s Item) (*node, *node, *node) {
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if n == nil {
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return nil, nil, nil
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}
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c := t.compare(s, n.item)
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if c == 0 {
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return n.left, n, n.right
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}
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if c < 0 {
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left, middle, right := t.split(n.left, s)
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return left, middle, &node{
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item: n.item,
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priority: n.priority,
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left: right,
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right: n.right,
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}
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}
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left, middle, right := t.split(n.right, s)
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return &node{
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item: n.item,
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priority: n.priority,
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left: n.left,
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right: left,
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}, middle, right
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}
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func (t *Treap) Delete(target Item) *Treap {
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left, _, right := t.split(t.root, target)
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return &Treap{compare: t.compare, root: t.join(left, right)}
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}
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// All the items from this are < items from that.
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func (t *Treap) join(this *node, that *node) *node {
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if this == nil {
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return that
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}
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if that == nil {
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return this
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}
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if this.priority > that.priority {
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return &node{
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item: this.item,
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priority: this.priority,
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left: this.left,
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right: t.join(this.right, that),
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}
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}
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return &node{
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item: that.item,
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priority: that.priority,
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left: t.join(this, that.left),
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right: that.right,
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}
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}
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type ItemVisitor func(i Item) bool
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// Visit items greater-than-or-equal to the pivot.
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func (t *Treap) VisitAscend(pivot Item, visitor ItemVisitor) {
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t.visitAscend(t.root, pivot, visitor)
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}
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func (t *Treap) visitAscend(n *node, pivot Item, visitor ItemVisitor) bool {
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if n == nil {
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return true
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}
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if t.compare(pivot, n.item) <= 0 {
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if !t.visitAscend(n.left, pivot, visitor) {
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return false
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}
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if !visitor(n.item) {
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return false
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}
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}
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return t.visitAscend(n.right, pivot, visitor)
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}
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