检查数字是否是一个完美的平方 [英] Check if a number is a perfect square

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问题描述

如何检查数字是否是一个完美的平方?

How could I check if a number is a perfect square?

速度无关紧要,目前,只是工作而已.

Speed is of no concern, for now, just working.

推荐答案

依赖任何浮点计算(math.sqrt(x)x**0.5)的问题是您不能真正确定它的准确性(对于足够大整数x,它不会,甚至可能溢出).幸运的是(如果您不着急;-)有很多纯整数方法,例如:...

The problem with relying on any floating point computation (math.sqrt(x), or x**0.5) is that you can't really be sure it's exact (for sufficiently large integers x, it won't be, and might even overflow). Fortunately (if one's in no hurry;-) there are many pure integer approaches, such as the following...:

def is_square(apositiveint):
  x = apositiveint // 2
  seen = set([x])
  while x * x != apositiveint:
    x = (x + (apositiveint // x)) // 2
    if x in seen: return False
    seen.add(x)
  return True

for i in range(110, 130):
   print i, is_square(i)

提示:它基于平方根的巴比伦算法",请参见维基百科.它可以为任何正数工作,您有足够的内存来完成计算;-).

Hint: it's based on the "Babylonian algorithm" for square root, see wikipedia. It does work for any positive number for which you have enough memory for the computation to proceed to completion;-).

编辑:让我们看一个示例...

Edit: let's see an example...

x = 12345678987654321234567 ** 2

for i in range(x, x+2):
   print i, is_square(i)

这会根据需要(在合理的时间内;-)打印:

this prints, as desired (and in a reasonable amount of time, too;-):

152415789666209426002111556165263283035677489 True
152415789666209426002111556165263283035677490 False

请在基于浮点中间结果提出解决方案之前,请确保它们在此简单示例上正常工作-并不是 难(您需要做一些额外的检查,以防sqrt计算有点差),只需多加注意.

Please, before you propose solutions based on floating point intermediate results, make sure they work correctly on this simple example -- it's not that hard (you just need a few extra checks in case the sqrt computed is a little off), just takes a bit of care.

然后尝试使用x**7并找到解决您将遇到的问题的聪明方法,

And then try with x**7 and find clever way to work around the problem you'll get,

OverflowError: long int too large to convert to float

当然,随着数字的增长,您将变得越来越聪明.

you'll have to get more and more clever as the numbers keep growing, of course.

当然,如果我急忙,我会使用 gmpy -但是,我显然有偏见;-).

If I was in a hurry, of course, I'd use gmpy -- but then, I'm clearly biased;-).

>>> import gmpy
>>> gmpy.is_square(x**7)
1
>>> gmpy.is_square(x**7 + 1)
0

是的,我知道,这很容易,就像作弊一样(有点像我对Python的一般感觉;-)-一点也不聪明,只有完美的直接性和简单性(如果是俗气的话) ,绝对的速度;-)...

Yeah, I know, that's just so easy it feels like cheating (a bit the way I feel towards Python in general;-) -- no cleverness at all, just perfect directness and simplicity (and, in the case of gmpy, sheer speed;-)...

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