如何在 IF 条件中分配变量,然后返回它? [英] How to assign a variable in an IF condition, and then return it?
问题描述
def isBig(x):
if x > 4:
return 'apple'
else:
return 'orange'
这有效:
if isBig(y): return isBig(y)
这不起作用:
if fruit = isBig(y): return fruit
为什么第二个不起作用!?我想要一个 1-liner.除了,第一个将调用函数 TWICE.
Why doesn't the 2nd one work!? I want a 1-liner. Except, the 1st one will call the function TWICE.
如何在不调用函数两次的情况下使其成为 1 个 liner?
推荐答案
我看到其他人已经指出了我旧的分配和设置"食谱,其最简单的版本归结为:
I see somebody else has already pointed to my old "assign and set" Cookbook recipe, which boils down in its simplest version to:
class Holder(object):
def set(self, value):
self.value = value
return value
def get(self):
return self.value
h = Holder()
...
if h.set(isBig(y)): return h.get()
然而,这主要是为了简化 Python 和在 if
或 while
中直接支持赋值的语言之间的音译.如果您在级联中拥有数百个"这样的检查和返回,那么最好做一些完全不同的事情:
However, this was intended mostly to ease transliteration between Python and languages where assignment is directly supported in if
or while
. If you have "hundreds" of such check-and-return in a cascade, it's much better to do something completely different:
hundreds = isBig, isSmall, isJuicy, isBlah, ...
for predicate in hundreds:
result = predicate(y)
if result: return result
甚至类似的东西
return next(x for x in (f(y) for f in hundreds) if x)
如果不满足谓词则可以得到 StopIteration 异常,或者
if it's OK to get a StopIteration exception if no predicate is satisfied, or
return next((x for x in (f(y) for f in hundreds) if x)), None)
if None
是不满足谓词时的正确返回值,等等.
if None
is the proper return value when no predicate is satisfied, etc.
几乎总是使用(或什至希望;-)Holder
技巧/非习语是一种设计味道",这表明寻找一种不同的、更 Pythonic 的方法——一个案例Holder
被证明是正确的正是我设计它的特殊情况,即,您希望在 Python 代码和一些非 Python 代码之间保持密切对应的情况(您正在音译参考算法在 Python 中,并希望它在将其重构为更 Pythonic 的形式之前先运行,或者您正在编写 Python 作为原型,一旦它有效工作,它将被音译为 C++、C#、Java 等).
Almost invariably, using (or even wishing for;-) the Holder
trick/non-idiom is a "design smell" which suggests looking for a different and more Pythonic approach -- the one case where Holder
is justified is exactly the special case for which I designed it, i.e., the case where you want to keep close correspondence between the Python code and some non-Python (you're transliterating a reference algorithm in Python and want it working first before refactoring it into a more Pythonic form, or you're writing Python as a prototype that will be transliterated into C++, C#, Java, etc, once it's working effectively).
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