问题描述
是否有任何干净的方法可以在没有lambda或列表解析的情况下在Python中的对象上应用函数列表?像Haskell表达式一样:
$ $ p $ $ $ $ $ $ $ $ $ $ $ $ $
Python中的lambda示例:
response = map(lambda foo:foo(obj),[foo1,foo2])#fooX:object-> Bool
可扩展到类函数吗?
也许是来自运算符或itertools的东西?
如@JFSebastian建议
>>> from operator import methodcaller
>>> funcs =(lambda x:x + 1,lambda x:x + 2)
>>> obj = 5
>>> map(methodcaller('__ call__',obj),funcs)
[6,7]
这是一个疯狂的做法:
>>>从itertools导入starmap,重复
>>> from types import FunctionType
>>> funcs =(lambda x:x + 1,lambda x:x + 2)
>>> obj = 5
>>> list(starmap(FunctionType .__ call__,zip(funcs,repeat(obj))))
[6,7]
如@AleksiTorhamo建议
>>> from itertools import repeat
>>> from types import FunctionType
>>> obj = 5
>>> funcs =(lambda x:x + 1,lambda x:x + 2)
>>> map(FunctionType .__ call__,funcs,repeat(obj))
[6,7]
Is there any clean way to apply a list of functions on an object in Python without lambda or list comprehensions? Like the Haskell expression:
map ($ obj) [foo1,foo2]
Example with lambda in Python:
response = map(lambda foo:foo(obj),[foo1,foo2]) #fooX:object->Bool
Is it extendable to class functions?
Perhaps something from operator or itertools?
I think this should fit your 'functional' criteria, To answer your question, I don't think there is a clean way and you should just acclimatize to list comprehensions.
As suggested by @J.F.Sebastian
>>> from operator import methodcaller
>>> funcs = (lambda x: x + 1, lambda x: x + 2)
>>> obj = 5
>>> map(methodcaller('__call__', obj), funcs)
[6, 7]
Here is a crazy way of doing it:
>>> from itertools import starmap, repeat
>>> from types import FunctionType
>>> funcs = (lambda x: x + 1, lambda x: x + 2)
>>> obj = 5
>>> list(starmap(FunctionType.__call__, zip(funcs, repeat(obj))))
[6, 7]
As suggested by @AleksiTorhamo
>>> from itertools import repeat
>>> from types import FunctionType
>>> obj = 5
>>> funcs = (lambda x: x + 1, lambda x: x + 2)
>>> map(FunctionType.__call__, funcs, repeat(obj))
[6, 7]
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