Is there a possibility to create real copies of python functions? The most obvious choice was http://docs.python.org/2/library/copy.html but there I read:
It does “copy” functions and classes (shallow and deeply), by returning the original object unchanged;
I need a real copy, because I might change some attributes of the function.
Update:
I'm aware of all the possibilities which are mentioned in the comments. My use case is based on meta programming where I construct classes out of some declarative specifications. Complete details would be too long for SO, but basically I have a function like
def do_something_usefull(self,arg): self.do_work()
I will add this method to various classes. Thoses classes can be completly unrelated. Using mixin classes is not an option: I will have many such functions and would end up adding a base class for each function. My current "workaround" would be to wrap this function in a "factory" like this:
def create_do_something(): def do_something_usefull(self,arg): self.do_work()
That way I always get a new do_something_useful function, but I have to wrap all my functions like this.
You can trust me, that I'm aware, that this is no "normal" OO programming. I know how to solve something like that "normally". But this is a dynamic code generator and I would like to keep everything as lightweight and simple as possible. And as python functions are quite normal objects, I don't think it's too strange to ask how to copy them!?
The Python copy() method creates a copy of an existing list. The copy() method is added to the end of a list object and so it does not accept any parameters. copy() returns a new list.
Shallow and deep copy in Python: copy(), deepcopy() In Python, you can make a shallow and deep copy with the copy() method of list , dictionary, etc., or the copy() and deepcopy() functions of the copy module.
In Python3:
import types import functools def copy_func(f): """Based on http://stackoverflow.com/a/6528148/190597 (Glenn Maynard)""" g = types.FunctionType(f.__code__, f.__globals__, name=f.__name__, argdefs=f.__defaults__, closure=f.__closure__) g = functools.update_wrapper(g, f) g.__kwdefaults__ = f.__kwdefaults__ return g def f(arg1, arg2, arg3, kwarg1="FOO", *args, kwarg2="BAR", kwarg3="BAZ"): return (arg1, arg2, arg3, args, kwarg1, kwarg2, kwarg3) f.cache = [1,2,3] g = copy_func(f) print(f(1,2,3,4,5)) print(g(1,2,3,4,5)) print(g.cache) assert f is not g
yields
(1, 2, 3, (5,), 4, 'BAR', 'BAZ') (1, 2, 3, (5,), 4, 'BAR', 'BAZ') [1, 2, 3]
In Python2:
import types import functools def copy_func(f): """Based on http://stackoverflow.com/a/6528148/190597 (Glenn Maynard)""" g = types.FunctionType(f.func_code, f.func_globals, name=f.func_name, argdefs=f.func_defaults, closure=f.func_closure) g = functools.update_wrapper(g, f) return g def f(x, y=2): return x,y f.cache = [1,2,3] g = copy_func(f) print(f(1)) print(g(1)) print(g.cache) assert f is not g
yields
(1, 2) (1, 2) [1, 2, 3]
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