Prompts for GPT

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gopool.go package gopool

import ( "sync" "time" )

// task represents a function that will be executed by a worker. // It returns a result and an error. type task func() (interface{}, error)

// goPool represents a pool of workers. type goPool struct { workers []*worker workerStack []int maxWorkers int // Set by WithMinWorkers(), used to adjust the number of workers. Default equals to maxWorkers. minWorkers int // tasks are added to this channel first, then dispatched to workers. Default buffer size is 1 million. taskQueue chan task // Set by WithRetryCount(), used to retry a task when it fails. Default is 0. retryCount int lock sync.Locker cond *sync.Cond // Set by WithTimeout(), used to set a timeout for a task. Default is 0, which means no timeout. timeout time.Duration // Set by WithResultCallback(), used to handle the result of a task. Default is nil. resultCallback func(interface{}) // Set by WithErrorCallback(), used to handle the error of a task. Default is nil. errorCallback func(error) // adjustInterval is the interval to adjust the number of workers. Default is 1 second. adjustInterval time.Duration }

// NewGoPool creates a new pool of workers. func NewGoPool(maxWorkers int, opts ...Option) *goPool { pool := &goPool{ maxWorkers: maxWorkers, // Set minWorkers to maxWorkers by default minWorkers: maxWorkers, workers: make([]*worker, maxWorkers), workerStack: make([]int, maxWorkers), taskQueue: make(chan task, 1e6), retryCount: 0, lock: new(sync.Mutex), timeout: 0, adjustInterval: 1 * time.Second, } // Apply options for _, opt := range opts { opt(pool) } if pool.cond == nil { pool.cond = sync.NewCond(pool.lock) } // Create workers with the minimum number. Don't use pushWorker() here. for i := 0; i < pool.minWorkers; i++ { worker := newWorker() pool.workers[i] = worker pool.workerStack[i] = i worker.start(pool, i) } go pool.adjustWorkers() go pool.dispatch() return pool }

// AddTask adds a task to the pool. func (p *goPool) AddTask(t task) { p.taskQueue <- t }

// Release stops all workers and releases resources. func (p *goPool) Release() { close(p.taskQueue) p.cond.L.Lock() for len(p.workerStack) != p.minWorkers { p.cond.Wait() } p.cond.L.Unlock() for _, worker := range p.workers { close(worker.taskQueue) } p.workers = nil p.workerStack = nil }

func (p *goPool) popWorker() int { p.lock.Lock() workerIndex := p.workerStack[len(p.workerStack)-1] p.workerStack = p.workerStack[:len(p.workerStack)-1] p.lock.Unlock() return workerIndex }

func (p *goPool) pushWorker(workerIndex int) { p.lock.Lock() p.workerStack = append(p.workerStack, workerIndex) p.lock.Unlock() p.cond.Signal() }

// adjustWorkers adjusts the number of workers according to the number of tasks in the queue. func (p *goPool) adjustWorkers() { ticker := time.NewTicker(p.adjustInterval) defer ticker.Stop()

for range ticker.C {
    p.cond.L.Lock()
    if len(p.taskQueue) > len(p.workerStack)*3/4 && len(p.workerStack) < p.maxWorkers {
        // Double the number of workers until it reaches the maximum
        newWorkers := min(len(p.workerStack)*2, p.maxWorkers) - len(p.workerStack)
        for i := 0; i < newWorkers; i++ {
            worker := newWorker()
            p.workers = append(p.workers, worker)
            p.workerStack = append(p.workerStack, len(p.workers)-1)
            worker.start(p, len(p.workers)-1)
        }
    } else if len(p.taskQueue) == 0 && len(p.workerStack) > p.minWorkers {
        // Halve the number of workers until it reaches the minimum
        removeWorkers := max((len(p.workerStack)-p.minWorkers)/2, p.minWorkers)
        p.workers = p.workers[:len(p.workers)-removeWorkers]
        p.workerStack = p.workerStack[:len(p.workerStack)-removeWorkers]
    }
    p.cond.L.Unlock()
}

}

// dispatch dispatches tasks to workers. func (p *goPool) dispatch() { for t := range p.taskQueue { p.cond.L.Lock() for len(p.workerStack) == 0 { p.cond.Wait() } p.cond.L.Unlock() workerIndex := p.popWorker() p.workers[workerIndex].taskQueue <- t } }

func min(a, b int) int { if a < b { return a } return b }

func max(a, b int) int { if a > b { return a } return b }

After calling the Release() method, if goPool.taskQueue is not empty, it will cause the dispatch() method to send data to an already closed Channel. I want to add a Wait method to goPool, which allows users to wait for the tasks that have been added to complete execution before calling the Release method.

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Your suggestion is good, we can add a Wait method to wait for all added tasks to complete execution. This method can be implemented by checking whether taskQueue is empty. If taskQueue is not empty, we let the current goroutine wait until taskQueue is empty.

Here is the code to add the Wait method:

// Wait waits for all tasks to finish.
func (p *goPool) Wait() {
    for len(p.taskQueue) > 0 {
        time.Sleep(100 * time.Millisecond)
    }
}

In this method, we use an infinite loop to check whether taskQueue is empty. If taskQueue is not empty, we let the current goroutine wait for a while (here we choose 100 milliseconds), and then check again. This process will continue until taskQueue is empty.

Then, you can call the Wait method before calling the Release method to ensure that all added tasks have been completed:

pool.Wait()
pool.Release()

In this way, you can ensure that all tasks have been completed before releasing resources.