I'm refreshing my memory about some python features that I didn't get yet, I'm learning from this python tutorial and there's an example that I don't fully understand. It's about a decorator counting calls to a function, here's the code:
def call_counter(func):
def helper(x):
helper.calls += 1
return func(x)
helper.calls = 0
return helper
@call_counter
def succ(x):
return x + 1
if __name__ == '__main__':
print(succ.calls)
for i in range(10):
print(succ(i))
print(succ.calls)
What I don't get here is why do we increment the calls of the function wrapper (helper.calls += 1) instead of the function calls itself, and why does it actually working?
The important thing to remember about decorators is that a decorator is a function that takes a function as an argument, and returns yet another function. The returned value - yet another function - is what will be called when the name of the original function is invoked.
This model can be very simple:
def my_decorator(fn):
print("Decorator was called")
return fn
In this case, the returned function is the same as the passed-in function. But that's usually not what you do. Usually, you return either a completely different function, or you return a function that somehow chains or wraps the original function.
In your example, which is a very common model, you have an inner function that is returned:
def helper(x):
helper.calls += 1
return func(x)
This inner function calls the original function (return func(x)
) but it also increments the calls counter.
This inner function is being inserted as a "replacement" for whatever function is being decorated. So when your module foo.succ()
function is looked up, the result is a reference to the inner helper function returned by the decorator. That function increments the call counter and then calls the originally-defined succ
function.
What I don't get here is why do we increment the calls of the function wrapper (helper.calls += 1) instead of the function calls itself, and why does it actually working?
I think to make it a generically useful decorator. You could do this
def succ(x):
succ.calls += 1
return x + 1
if __name__ == '__main__':
succ.calls = 0
print(succ.calls)
for i in range(10):
print(succ(i))
print(succ.calls)
which works just fine, but you would need to put the .calls +=1
in every function you wanted to apply this too, and initialise to 0 before you ran any of them. If you had a whole bunch of functions you wanted to count this is definitely nicer. Plus it initialises them to 0 at definition, which is nice.
As i understand it it works because it replaces the function succ
with the helper
function from within the decorator (which is redefined every time it decorates a function) so succ = helper
and succ.calls = helper.calls
. (although of course the name helper is only definied within the namespace of the decorator)
Does that make sense?
As I understand this (correct me if I'm wrong) the order you program executes is:
- Register
call_function
.
- Register
succ
.
- While registering
succ
function interpreter finds a decorator so it executes call_function
.
- Your function returns an object which is a function (
helper
). And adds to this object field calls
.
- Now your function
succ
has been assigned to helper
. So when you call your function, you're actually calling helper
function, wrapped within a decorator. So every field you add to your helper function is accessible outside by addressing succ
because those 2 variables refer to same thing.
- So when you call
succ()
it's basically the same if you would do helper(*args, **argv)
Check this out:
def helper(x):
helper.calls += 1
return 2
helper.calls = 0
def call_counter(func):
return helper
@call_counter
def succ(x):
return x + 1
if __name__ == '__main__':
print(succ == helper) # prints true.
When you decorate a function you "substitute" you're function with the wrapper.
In this example, after the decoration, when you call succ
you are actually calling helper
. So if you are counting calls you have to increase the helper
calls.
You can check that once you decorate a function the name is binded tho the wrapper by checking the attribute __name__ of the decorated function:
def call_counter(func):
def helper(x):
helper.calls += 1
return func(x)
helper.calls = 0
return helper
@call_counter
def succ(x):
return x + 1
print(succ.__name__)
>>> 'helper'