关于python:Python的线程池如何判断任务是否全部执行完毕

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from loguru import logger
import threading
import time
from concurrent.futures import ThreadPoolExecutor


pool = ThreadPoolExecutor(max_workers=100)

var = 0

lock=threading.Lock()


def foo():
    global var
    global lock
    with lock:
        if var < 10:
            time.sleep(2) # 模拟网咯 IO 操作，比方操作数据库，或者申请接口
            var += 1


for _ in range(100):
    pool.submit(foo) 

pool.shutdown(wait=True) # 期待所有工作执行结束

logger.debug(f'最初的 {var}')

很简略，在提交完工作之后，只用 pool.shutdown(wait=True) 期待所有工作执行结束

对于 wait 参数，能够看官网的代码正文：

def shutdown(self, wait=True, *, cancel_futures=False):
    """Clean-up the resources associated with the Executor.

    It is safe to call this method several times. Otherwise, no other
    methods can be called after this one.

    Args:
        wait: If True then shutdown will not return until all running
            futures have finished executing and the resources used by the
            executor have been reclaimed.
        cancel_futures: If True then shutdown will cancel all pending
            futures. Futures that are completed or running will not be
            cancelled.
    """
    pass