python线程池的实现代码

方式一：

import concurrent.futures
import time

with concurrent.futures.ThreadPoolExecutor(max_workers=max_workers) as executor:
    futures = []

    while True:

            future = executor.submit(要执行的函数, 函数的参数)
            futures.append(future)

            # 检查并移除已完成的任务
            for f in futures:
                if f.done():
                    result = f.result()
                    # print(result)
                    futures.remove(f)

方式二：

import concurrent.futures
import time


def worker(n):
    print(f"Worker {n} is starting")
    time.sleep(2)
    print(f"Worker {n} is finished")
    return f"Result from worker {n}"


if __name__ == "__main__":
    with concurrent.futures.ThreadPoolExecutor(max_workers=5) as executor:
        # 提交任务到线程池
        futures = [executor.submit(worker, i) for i in range(10)]

        # 等待所有任务完成并获取结果
        for future in concurrent.futures.as_completed(futures):
            print(future.result())