大数的Python **和％运算符的行为 [英] Behavior of Python ** and % operators with big numbers

问题描述

当我在Python解释器中放入** b％c时，它具有较大的a(20个数字)b(4个数字)c(20个数字)，我发现Python运算速度非常快，几乎与pow(a，b，c ).我希望Python能够先计算出** b，然后再得到结果的模数(％)，这将花费更多的时间.

When I put in Python interpreter a ** b % c with large a (20 figures) b (4 figures) c (20 figures) I saw that Python calculates it pretty fast, almost like pow (a,b,c). I expect another behavior that Python first calculate a ** b then get the modulo (%) of result and such calculation will take significantly more time.

幕后的魔力在哪里?

推荐答案

如果要在Python解释器中输入类似内容:

If you are typing into the Python interpreter something like:

20937505974095709374 ** 3438

然后看到几秒钟的等待.然后尝试:

Then seeing a couple of seconds wait. Then trying:

20937505974095709374 ** 3438 % 6

然后看到否等待，想知道为什么存在差异，那么您在第一个实例中看到的 delay 实际上是您的终端缓冲并花费的时间.在屏幕上打印刚创建的庞大数字.

And seeing no wait, and wondering why there is a difference, then the delay that you see in the first instance is actually the time your terminal takes to buffer and print the huge number you just created to the screen.

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