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https://gitlab.com/pulsechaincom/go-pulse.git
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bf1798e04e
* common, core, eth, les, trie: make prque generic * les/vflux/server: fixed issues in priorityPool * common, core, eth, les, trie: make priority also generic in prque * les/flowcontrol: add test case for priority accumulator overflow * les/flowcontrol: avoid priority value overflow * common/prque: use int priority in some tests No need to convert to int64 when we can just change the type used by the queue. * common/prque: remove comment about int64 range --------- Co-authored-by: Zsolt Felfoldi <zsfelfoldi@gmail.com> Co-authored-by: Felix Lange <fjl@twurst.com>
196 lines
6.5 KiB
Go
196 lines
6.5 KiB
Go
// Copyright 2019 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 prque
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import (
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"container/heap"
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"time"
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"github.com/ethereum/go-ethereum/common/mclock"
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"golang.org/x/exp/constraints"
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)
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// LazyQueue is a priority queue data structure where priorities can change over
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// time and are only evaluated on demand.
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// Two callbacks are required:
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// - priority evaluates the actual priority of an item
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// - maxPriority gives an upper estimate for the priority in any moment between
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// now and the given absolute time
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//
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// If the upper estimate is exceeded then Update should be called for that item.
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// A global Refresh function should also be called periodically.
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type LazyQueue[P constraints.Ordered, V any] struct {
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clock mclock.Clock
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// Items are stored in one of two internal queues ordered by estimated max
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// priority until the next and the next-after-next refresh. Update and Refresh
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// always places items in queue[1].
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queue [2]*sstack[P, V]
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popQueue *sstack[P, V]
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period time.Duration
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maxUntil mclock.AbsTime
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indexOffset int
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setIndex SetIndexCallback[V]
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priority PriorityCallback[P, V]
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maxPriority MaxPriorityCallback[P, V]
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lastRefresh1, lastRefresh2 mclock.AbsTime
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}
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type (
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PriorityCallback[P constraints.Ordered, V any] func(data V) P // actual priority callback
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MaxPriorityCallback[P constraints.Ordered, V any] func(data V, until mclock.AbsTime) P // estimated maximum priority callback
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)
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// NewLazyQueue creates a new lazy queue
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func NewLazyQueue[P constraints.Ordered, V any](setIndex SetIndexCallback[V], priority PriorityCallback[P, V], maxPriority MaxPriorityCallback[P, V], clock mclock.Clock, refreshPeriod time.Duration) *LazyQueue[P, V] {
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q := &LazyQueue[P, V]{
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popQueue: newSstack[P, V](nil),
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setIndex: setIndex,
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priority: priority,
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maxPriority: maxPriority,
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clock: clock,
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period: refreshPeriod,
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lastRefresh1: clock.Now(),
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lastRefresh2: clock.Now(),
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}
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q.Reset()
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q.refresh(clock.Now())
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return q
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}
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// Reset clears the contents of the queue
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func (q *LazyQueue[P, V]) Reset() {
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q.queue[0] = newSstack[P, V](q.setIndex0)
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q.queue[1] = newSstack[P, V](q.setIndex1)
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}
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// Refresh performs queue re-evaluation if necessary
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func (q *LazyQueue[P, V]) Refresh() {
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now := q.clock.Now()
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for time.Duration(now-q.lastRefresh2) >= q.period*2 {
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q.refresh(now)
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q.lastRefresh2 = q.lastRefresh1
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q.lastRefresh1 = now
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}
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}
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// refresh re-evaluates items in the older queue and swaps the two queues
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func (q *LazyQueue[P, V]) refresh(now mclock.AbsTime) {
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q.maxUntil = now.Add(q.period)
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for q.queue[0].Len() != 0 {
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q.Push(heap.Pop(q.queue[0]).(*item[P, V]).value)
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}
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q.queue[0], q.queue[1] = q.queue[1], q.queue[0]
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q.indexOffset = 1 - q.indexOffset
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q.maxUntil = q.maxUntil.Add(q.period)
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}
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// Push adds an item to the queue
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func (q *LazyQueue[P, V]) Push(data V) {
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heap.Push(q.queue[1], &item[P, V]{data, q.maxPriority(data, q.maxUntil)})
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}
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// Update updates the upper priority estimate for the item with the given queue index
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func (q *LazyQueue[P, V]) Update(index int) {
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q.Push(q.Remove(index))
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}
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// Pop removes and returns the item with the greatest actual priority
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func (q *LazyQueue[P, V]) Pop() (V, P) {
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var (
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resData V
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resPri P
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)
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q.MultiPop(func(data V, priority P) bool {
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resData = data
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resPri = priority
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return false
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})
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return resData, resPri
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}
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// peekIndex returns the index of the internal queue where the item with the
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// highest estimated priority is or -1 if both are empty
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func (q *LazyQueue[P, V]) peekIndex() int {
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if q.queue[0].Len() != 0 {
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if q.queue[1].Len() != 0 && q.queue[1].blocks[0][0].priority > q.queue[0].blocks[0][0].priority {
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return 1
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}
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return 0
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}
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if q.queue[1].Len() != 0 {
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return 1
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}
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return -1
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}
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// MultiPop pops multiple items from the queue and is more efficient than calling
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// Pop multiple times. Popped items are passed to the callback. MultiPop returns
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// when the callback returns false or there are no more items to pop.
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func (q *LazyQueue[P, V]) MultiPop(callback func(data V, priority P) bool) {
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nextIndex := q.peekIndex()
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for nextIndex != -1 {
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data := heap.Pop(q.queue[nextIndex]).(*item[P, V]).value
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heap.Push(q.popQueue, &item[P, V]{data, q.priority(data)})
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nextIndex = q.peekIndex()
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for q.popQueue.Len() != 0 && (nextIndex == -1 || q.queue[nextIndex].blocks[0][0].priority < q.popQueue.blocks[0][0].priority) {
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i := heap.Pop(q.popQueue).(*item[P, V])
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if !callback(i.value, i.priority) {
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for q.popQueue.Len() != 0 {
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q.Push(heap.Pop(q.popQueue).(*item[P, V]).value)
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}
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return
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}
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nextIndex = q.peekIndex() // re-check because callback is allowed to push items back
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}
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}
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}
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// PopItem pops the item from the queue only, dropping the associated priority value.
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func (q *LazyQueue[P, V]) PopItem() V {
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i, _ := q.Pop()
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return i
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}
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// Remove removes the item with the given index.
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func (q *LazyQueue[P, V]) Remove(index int) V {
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return heap.Remove(q.queue[index&1^q.indexOffset], index>>1).(*item[P, V]).value
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}
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// Empty checks whether the priority queue is empty.
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func (q *LazyQueue[P, V]) Empty() bool {
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return q.queue[0].Len() == 0 && q.queue[1].Len() == 0
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}
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// Size returns the number of items in the priority queue.
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func (q *LazyQueue[P, V]) Size() int {
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return q.queue[0].Len() + q.queue[1].Len()
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}
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// setIndex0 translates internal queue item index to the virtual index space of LazyQueue
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func (q *LazyQueue[P, V]) setIndex0(data V, index int) {
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if index == -1 {
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q.setIndex(data, -1)
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} else {
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q.setIndex(data, index+index)
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}
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}
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// setIndex1 translates internal queue item index to the virtual index space of LazyQueue
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func (q *LazyQueue[P, V]) setIndex1(data V, index int) {
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q.setIndex(data, index+index+1)
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}
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