Why can a function modify some arguments as perceived by the caller, but not others?

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盖世英雄少女心
盖世英雄少女心 2020-11-21 07:10

I\'m trying to understand Python\'s approach to variable scope. In this example, why is f() able to alter the value of x, as perceived within

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  • If the functions are re-written with completely different variables and we call id on them, it then illustrates the point well. I didn't get this at first and read jfs' post with the great explanation, so I tried to understand/convince myself:

    def f(y, z):
        y = 2
        z.append(4)
        print ('In f():             ', id(y), id(z))
    
    def main():
        n = 1
        x = [0,1,2,3]
        print ('Before in main:', n, x,id(n),id(x))
        f(n, x)
        print ('After in main:', n, x,id(n),id(x))
    
    main()
    Before in main: 1 [0, 1, 2, 3]   94635800628352 139808499830024
    In f():                          94635800628384 139808499830024
    After in main: 1 [0, 1, 2, 3, 4] 94635800628352 139808499830024
    

    z and x have the same id. Just different tags for the same underlying structure as the article says.

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  • 2020-11-21 07:40

    Python is a pure pass-by-value language if you think about it the right way. A python variable stores the location of an object in memory. The Python variable does not store the object itself. When you pass a variable to a function, you are passing a copy of the address of the object being pointed to by the variable.

    Contrasst these two functions

    def foo(x):
        x[0] = 5
    
    def goo(x):
        x = []
    

    Now, when you type into the shell

    >>> cow = [3,4,5]
    >>> foo(cow)
    >>> cow
    [5,4,5]
    

    Compare this to goo.

    >>> cow = [3,4,5]
    >>> goo(cow)
    >>> goo
    [3,4,5]
    

    In the first case, we pass a copy the address of cow to foo and foo modified the state of the object residing there. The object gets modified.

    In the second case you pass a copy of the address of cow to goo. Then goo proceeds to change that copy. Effect: none.

    I call this the pink house principle. If you make a copy of your address and tell a painter to paint the house at that address pink, you will wind up with a pink house. If you give the painter a copy of your address and tell him to change it to a new address, the address of your house does not change.

    The explanation eliminates a lot of confusion. Python passes the addresses variables store by value.

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  • 2020-11-21 07:45

    My general understanding is that any object variable (such as a list or a dict, among others) can be modified through its functions. What I believe you are not able to do is reassign the parameter - i.e., assign it by reference within a callable function.

    That is consistent with many other languages.

    Run the following short script to see how it works:

    def func1(x, l1):
        x = 5
        l1.append("nonsense")
    
    y = 10
    list1 = ["meaning"]
    func1(y, list1)
    print(y)
    print(list1)
    
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  • 2020-11-21 07:46

    You've got a number of answers already, and I broadly agree with J.F. Sebastian, but you might find this useful as a shortcut:

    Any time you see varname =, you're creating a new name binding within the function's scope. Whatever value varname was bound to before is lost within this scope.

    Any time you see varname.foo() you're calling a method on varname. The method may alter varname (e.g. list.append). varname (or, rather, the object that varname names) may exist in more than one scope, and since it's the same object, any changes will be visible in all scopes.

    [note that the global keyword creates an exception to the first case]

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  • 2020-11-21 07:47

    f doesn't actually alter the value of x (which is always the same reference to an instance of a list). Rather, it alters the contents of this list.

    In both cases, a copy of a reference is passed to the function. Inside the function,

    • n gets assigned a new value. Only the reference inside the function is modified, not the one outside it.
    • x does not get assigned a new value: neither the reference inside nor outside the function are modified. Instead, x’s value is modified.

    Since both the x inside the function and outside it refer to the same value, both see the modification. By contrast, the n inside the function and outside it refer to different values after n was reassigned inside the function.

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  • 2020-11-21 07:49

    n is an int (immutable), and a copy is passed to the function, so in the function you are changing the copy.

    X is a list (mutable), and a copy of the pointer is passed o the function so x.append(4) changes the contents of the list. However, you you said x = [0,1,2,3,4] in your function, you would not change the contents of x in main().

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