python multithreading -02 thread pool

from concurrent.futures import ThreadPoolExecutor
import time


def task(a1,a2):
    time.sleep(1)
    print("{},{}".format(a1, a2,))


if __name__ == '__main__':
    # 定义线程池
    pool = ThreadPoolExecutor(10)
    for i in range(100):
        # 申请线程池中的线程
        pool.submit(task, i, 8)