好用的线程池ThreadPoolExecutor

from concurrent.futures import ThreadPoolExecutor, as_completed
import time

def myfunc(ip):
    print(f"{ip} start.")
    time.sleep(1)
    print(f"{ip} done.")
    return f"{ip} done."

if __name__ == '__main__':
    ip_list = [
        f"10.99.8.{host}"
        for host in range(1, 50)
    ]

    # 方法一
    with ThreadPoolExecutor() as pool:
    # with ThreadPoolExecutor(max_workers=5) as executor: # 指定5个线程
        results = pool.map(myfunc, ip_list)
        # 输出返回值
        for result in results:
            print(result)

    # 方法二
    from concurrent import futures
    with ThreadPoolExecutor() as pool:
        futures = [pool.submit(myfunc, ip) for ip in ip_list]
        # for ip in ip_list:
        #     future = pool.submit(myfunc, ip)
        #     futures.append(future)         

        # 输出返回值一 有序结果，按顺序显示结果
        for future in futures:
            print(future.result())

        # 输出返回值二 无序结果，先完成先显示
        for future in as_completed(futures):
            print(future.result())