我試圖更加熟悉并發(fā)。這樣我就可以對(duì)一些更復(fù)雜的任務(wù)進(jìn)行并行處理。為了學(xué)習(xí)，我只是嘗試在 python（spyder 解釋器）中執(zhí)行此代碼：import concurrent.futuresimport timestart = time.perf_counter()def do_something(seconds):    print(f'Sleeping {seconds} second(s)...')    time.sleep(seconds)    return f'Done Sleeping...{seconds}'if __name__ =='__main__':    with concurrent.futures.ThreadPoolExecutor() as executor:        secs = [5, 4, 3, 2, 1]        results = executor.map(do_something, secs)            # for result in results:        #     print(result)        finish = time.perf_counter()        print(f'Finished in {round(finish-start, 2)} second(s)')我得到了我期望的輸出：runfile('D:/untitled1.py', wdir='D:/MarketProject')Sleeping 5 second(s)...Sleeping 4 second(s)...Sleeping 3 second(s)...Sleeping 2 second(s)...Sleeping 1 second(s)...Finished in 5.0 second(s)但是當(dāng)我將 'concurrent.futures.ThreadPoolExecutor()' 更改為 concurrent.futures.ProcessPoolExecutor() 時(shí)，我得到的只是runcell(0, 'D:/untitled1.py')Finished in 0.12 second(s)任何深入了解為什么它在嘗試使用進(jìn)程而不是線程時(shí)不起作用？