Ok, thankyou.
So, in other words, i must pay attention to what i set as default value in a
function. I should NEVER set empty lists as default values.
The guide i've linked says "To learn more about this, you should read the
documentation and look for the difference between *identity* and *equality*.
".
Can you please help me also with that? Where can i read what is the
difference?
And, i have some difficulties understanding the other "strange" example in
that howto. Just scroll down to: "However, the *point* is that the value of
x is picked up from the *environment* at the time when the function is
defined. How is this useful? Let’s take an example — a function which
composes two other functions."
He is working on a function that compose other 2 functions. This is the
final solution
def compose(fun1, fun2):
def inner(x, fun1=fun1, fun2=fun2):
return fun1(fun2(x))
return inner
But also tries to explain why this example:
# Wrong version
def compose(fun1, fun2):
def inner(x):
return fun1(fun2(x))
return inner
def fun1(x):
return x + " world!"
def fun2(x):
return "Hello,"
sincos = compose(sin,cos) # Using the wrong version
x = sincos(3)
Won't work. Now, the problem is that the "inner" function gets fun1 and fun2
from other 2 functions.
My question is: why? inner is a sub-function of compose, where fun1 and fun2
are defined.
Giorgio
2010/2/21 Steven D'Aprano <st...@pearwood.info>
> On Mon, 22 Feb 2010 03:00:32 am Giorgio wrote:
> > Hi,
> >
> > do you know if there is a way so that i can get multiple values from
> > a function?
> >
> > For example:
> >
> > def count(a,b):
> > c = a + b
> > d = a - b
> >
> > How can I return the value of C and D?
>
> Return a tuple of c and d:
>
> >>> def count(a, b):
> ... c = a + b
> ... d = a - b
> ... return c, d
> ...
> >>> t = count(15, 11)
> >>> t
> (26, 4)
>
> You can also unpack the tuple immediately:
>
> >>> x, y = count(15, 11)
> >>> x
> 26
> >>> y
> 4
>
>
>
> > Then, i have another question: i've read, some time ago, this guide
> > http://hetland.org/writing/instant-python.html, skipping the
> > object-related part. Now i've started reading it, and have found
> > something strange: just go where it says "Of course, now you know
> > there is a better way. And why don’t we give it the default value of
> > [] in the first place? Because of the way Python works, this would
> > give all the Baskets the same empty list as default contents.". Can
> > you please help me understanding this part?
>
> When you declare a default value in a function like this:
>
> def f(a, b, c=SOMETHING):
>
> the expression SOMETHING is calculated once, when the function is
> defined, and *not* each time you call the function.
>
> So if I do this:
>
> x = 1
> y = 2
>
> def f(a, b, c=x+y):
> return a+b+c
>
> the default value for c is calculated once, and stored inside the
> function:
>
> >>> f(0, 0)
> 3
>
> Even if I change x or y:
>
> >>> x = 9999
> >>> f(0, 0)
> 3
>
> So if I use a list as a default value (or a dict), the default is
> calculated once and stored in the function. You can see it by looking
> at the function's defaults:
>
> >>> def f(alist=[]):
> ... alist.append(1)
> ... return alist
> >>>
> >>> f.func_defaults[0]
> []
>
> Now, call the function without an argument:
>
> >>> f()
> [1]
> >>> f()
> [1, 1]
> >>> f()
> [1, 1, 1]
> >>> f.func_defaults[0]
> [1, 1, 1]
>
> How is this happening? Because every time you call the function, it
> appends 1 to the argument. If you don't supply an argument, it appends
> 1 to the default, changing it in place.
>
> Why doesn't the same thing happen here?
>
> >>> def g(x=0):
> ... x += 1
> ... return x
> ...
> >>> g.func_defaults[0]
> 0
> >>> g()
> 1
> >>> g()
> 1
> >>> g.func_defaults[0]
> 0
>
> The answer is that ints are immutable: you can't change their value.
> When you do x+=1, it doesn't modify the int 0 in place, turning it into
> 1. It leaves 0 as zero, and gives you a new int equal to one. So the
> default value stored in the function never changes.
>
> The difference boils down to immutable objects, which can't be changed
> in place, and mutable objects, which can.
>
> Immutable:
> ints, floats, strings, tuples, frozensets
>
> Mutable:
> lists, dicts, sets, most custom classes
>
>
>
> --
> Steven D'Aprano
> _______________________________________________
> Tutor maillist - Tutor@python.org
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AnotherNetFellow
Email: anothernetfel...@gmail.com
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