is there any way to prevent side effects in python?

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别跟我提以往
别跟我提以往 2021-02-05 15:14

Is there any way to prevent side effects in python? For example, the following function has a side effect, is there any keyword or any other way to have the python complain abou

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  • 2021-02-05 15:49

    You'll have to make a copy of the list first. Something like this:

    def func_without_side_affect(a):
        b = a[:]
        b.append('foo')
        return b
    

    This shorter version might work for you too:

    def func_without_side_affect(a):
        return a[:] + ['foo']
    

    If you have nested lists or other things like that, you'll probably want to look at copy.deepcopy to make the copy instead of the [:] slice operator.

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  • 2021-02-05 15:53

    About the only way to enforce that would be to overwrite the function specification to deepcopy any arguments before they are passed to the original function. You could to that with a function decorator.

    That way, the function has no way to actually change the originally passed arguments. This however has the "sideeffect" of a considerable slowdown as the deepcopy operation is rather costly in terms of memory (and garbage-collection) usage as well as CPU consumption.

    I'd rather recommend you properly test your code to ensure that no accidental changes happen or use a language that uses full copy-by-value semantics (or has only immutable variables).

    As another workaround, you could make your passed objects basically immutable by adding this to your classes:

     """An immutable class with a single attribute 'value'."""
     def __setattr__(self, *args):
         raise TypeError("can't modify immutable instance")
     __delattr__ = __setattr__
     def __init__(self, value):
         # we can no longer use self.value = value to store the instance data
         # so we must explicitly call the superclass
         super(Immutable, self).__setattr__('value', value)
    

    (Code copied from the Wikipedia article about Immutable object)

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  • 2021-02-05 15:59

    Sorry really late to the party. You can use effect library to isolate side-effects in your python code. As others have said in Python you have to explicitly write functional style code but this library really encourages towards it.

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  • 2021-02-05 16:03

    No, but with you example, you could use immutable types, and pass tuple as an a argument. Side effects can not affect immutable types, for example you can not append to tuple, you could only create other tuple by extending given.

    UPD: But still, your function could change objects which is referenced by your immutable object (as it was pointed out in comments), write to files and do some other IO.

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  • 2021-02-05 16:03

    Since any Python code can do IO, any Python code could launch intercontinental ballistic missiles (and I'd consider launching ICBMs to be a fairly catastrophic side effect for most purposes).

    The only way to avoid side effects is to not use Python code in the first place but rather data - i.e. you end up creating a domain specific language which disallows side effects, and a Python interpreter which executes programs of that language.

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  • 2021-02-05 16:05

    Python is really not set up to enforce prevention of side-effects. As some others have mentioned, you can try to deepcopy the data or use immutable types, but these still have corner cases that are tricky to catch, and it's just a ton more effort than it's worth.

    Using a functional style in Python normally involves the programmer simply designing their functions to be functional. In other words, whenever you write a function, you write it in such a way that it doesn't mutate the arguments.

    If you're calling someone else's function, then you have to make sure the data you are passing in either cannot be mutated, or you have to keep around a safe, untouched copy of the data yourself, that you keep away from that untrusted function.

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