forked from cerc-io/plugeth
f78ffc0545
* les: move execqueue into utilities package execqueue is a util for executing queued functions in a serial order which is used by both les server and les client. Move it to common package. * les: move randselect to utilities package weighted_random_selector is a helpful tool for randomly select items maintained in a set but based on the item weight. It's used anywhere is LES package, mainly by les client but will be used in les server with very high chance. So move it into a common package as the second step for les separation. * les: rename to utils
168 lines
5.2 KiB
Go
168 lines
5.2 KiB
Go
// Copyright 2016 The go-ethereum Authors
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// This file is part of the go-ethereum library.
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//
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// The go-ethereum library is free software: you can redistribute it and/or modify
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// it under the terms of the GNU Lesser General Public License as published by
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// the Free Software Foundation, either version 3 of the License, or
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// (at your option) any later version.
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//
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// The go-ethereum library is distributed in the hope that it will be useful,
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// but WITHOUT ANY WARRANTY; without even the implied warranty of
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// MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the
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// GNU Lesser General Public License for more details.
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//
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// You should have received a copy of the GNU Lesser General Public License
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// along with the go-ethereum library. If not, see <http://www.gnu.org/licenses/>.
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package utils
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import "math/rand"
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// wrsItem interface should be implemented by any entries that are to be selected from
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// a WeightedRandomSelect set. Note that recalculating monotonously decreasing item
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// weights on-demand (without constantly calling Update) is allowed
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type wrsItem interface {
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Weight() int64
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}
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// WeightedRandomSelect is capable of weighted random selection from a set of items
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type WeightedRandomSelect struct {
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root *wrsNode
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idx map[wrsItem]int
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}
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// NewWeightedRandomSelect returns a new WeightedRandomSelect structure
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func NewWeightedRandomSelect() *WeightedRandomSelect {
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return &WeightedRandomSelect{root: &wrsNode{maxItems: wrsBranches}, idx: make(map[wrsItem]int)}
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}
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// setWeight sets an item's weight to a specific value (removes it if zero)
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func (w *WeightedRandomSelect) setWeight(item wrsItem, weight int64) {
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idx, ok := w.idx[item]
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if ok {
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w.root.setWeight(idx, weight)
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if weight == 0 {
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delete(w.idx, item)
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}
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} else {
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if weight != 0 {
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if w.root.itemCnt == w.root.maxItems {
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// add a new level
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newRoot := &wrsNode{sumWeight: w.root.sumWeight, itemCnt: w.root.itemCnt, level: w.root.level + 1, maxItems: w.root.maxItems * wrsBranches}
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newRoot.items[0] = w.root
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newRoot.weights[0] = w.root.sumWeight
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w.root = newRoot
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}
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w.idx[item] = w.root.insert(item, weight)
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}
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}
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}
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// Update updates an item's weight, adds it if it was non-existent or removes it if
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// the new weight is zero. Note that explicitly updating decreasing weights is not necessary.
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func (w *WeightedRandomSelect) Update(item wrsItem) {
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w.setWeight(item, item.Weight())
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}
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// Remove removes an item from the set
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func (w *WeightedRandomSelect) Remove(item wrsItem) {
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w.setWeight(item, 0)
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}
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// Choose randomly selects an item from the set, with a chance proportional to its
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// current weight. If the weight of the chosen element has been decreased since the
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// last stored value, returns it with a newWeight/oldWeight chance, otherwise just
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// updates its weight and selects another one
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func (w *WeightedRandomSelect) Choose() wrsItem {
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for {
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if w.root.sumWeight == 0 {
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return nil
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}
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val := rand.Int63n(w.root.sumWeight)
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choice, lastWeight := w.root.choose(val)
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weight := choice.Weight()
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if weight != lastWeight {
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w.setWeight(choice, weight)
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}
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if weight >= lastWeight || rand.Int63n(lastWeight) < weight {
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return choice
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}
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}
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}
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const wrsBranches = 8 // max number of branches in the wrsNode tree
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// wrsNode is a node of a tree structure that can store wrsItems or further wrsNodes.
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type wrsNode struct {
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items [wrsBranches]interface{}
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weights [wrsBranches]int64
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sumWeight int64
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level, itemCnt, maxItems int
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}
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// insert recursively inserts a new item to the tree and returns the item index
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func (n *wrsNode) insert(item wrsItem, weight int64) int {
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branch := 0
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for n.items[branch] != nil && (n.level == 0 || n.items[branch].(*wrsNode).itemCnt == n.items[branch].(*wrsNode).maxItems) {
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branch++
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if branch == wrsBranches {
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panic(nil)
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}
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}
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n.itemCnt++
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n.sumWeight += weight
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n.weights[branch] += weight
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if n.level == 0 {
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n.items[branch] = item
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return branch
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}
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var subNode *wrsNode
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if n.items[branch] == nil {
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subNode = &wrsNode{maxItems: n.maxItems / wrsBranches, level: n.level - 1}
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n.items[branch] = subNode
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} else {
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subNode = n.items[branch].(*wrsNode)
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}
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subIdx := subNode.insert(item, weight)
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return subNode.maxItems*branch + subIdx
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}
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// setWeight updates the weight of a certain item (which should exist) and returns
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// the change of the last weight value stored in the tree
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func (n *wrsNode) setWeight(idx int, weight int64) int64 {
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if n.level == 0 {
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oldWeight := n.weights[idx]
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n.weights[idx] = weight
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diff := weight - oldWeight
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n.sumWeight += diff
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if weight == 0 {
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n.items[idx] = nil
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n.itemCnt--
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}
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return diff
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}
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branchItems := n.maxItems / wrsBranches
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branch := idx / branchItems
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diff := n.items[branch].(*wrsNode).setWeight(idx-branch*branchItems, weight)
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n.weights[branch] += diff
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n.sumWeight += diff
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if weight == 0 {
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n.itemCnt--
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}
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return diff
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}
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// Choose recursively selects an item from the tree and returns it along with its weight
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func (n *wrsNode) choose(val int64) (wrsItem, int64) {
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for i, w := range n.weights {
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if val < w {
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if n.level == 0 {
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return n.items[i].(wrsItem), n.weights[i]
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}
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return n.items[i].(*wrsNode).choose(val)
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}
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val -= w
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}
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panic(nil)
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}
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