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python中的lambda列表

[英]list of lambdas in python

I have seen this question , but i still cannot get why such simple example does not work: 我已经看到了这个问题 ,但是我仍然无法理解为什么这样简单的示例不起作用:

mylist = ["alice", "bob", "greta"]
funcdict = dict(((y, lambda x: x==str(y)) for y in mylist))
funcdict['alice']("greta")
#True
funcdict['alice']("alice")
#False
funcdict['greta']("greta")
#True

How is it different from: 与以下内容有何不同?

[(y, y) for y in mylist]

Why y is not evalueated within each step of iteration? 为什么在迭代的每个步骤中都不对y求值?

The y in the body of the lambda expression is just a name, unrelated to the y you use to iterate over mylist . lambda表达式主体中的y只是一个名称,与用于迭代mylisty无关。 As a free variable, a value of y is not found until you actually call the function, at which time it uses whatever value for y is in the calling scope. 作为一个自由变量,只有在您实际调用该函数后才能找到y的值,此时该函数将使用y在调用范围内的任何值。

To actually force y to have a value at definition time, you need to make it local to the body via an argument: 要实际上在定义时强制y具有一个值,您需要通过一个参数使其局部化:

dict((y, lambda x, y=z: x == str(y)) for z in mylist)
((y, lambda x: x==str(y)) for y in mylist)

y inside the lambda is not bound at the time of the genration expression defined, but it's bound when it's called; 在定义genration表达式时,lambda内部的y不绑定,但在调用时绑定。 When it's called, iteration is already done, so y references the last item greta . 调用时,迭代已经完成,因此y引用了最后一项greta

One way to work around this is to use keyword argument, which is evaluated when the function/lambda is defined: 解决此问题的一种方法是使用关键字参数,该关键字参数在定义函数/ lambda时进行评估:

funcdict = dict((y, lambda x, y=y: x == y) for y in mylist)
funcdict = {y: lambda x, y=y: x == y for y in mylist}  # dict-comprehension

or you can use partial : 或者您可以使用partial

funcdict = {y: partial(operator.eq, y) for y in mylist}

y is evaluated while the mylist is iterated. 在迭代mylist评估y

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