[Python-Dev] reference leaks, __del__, and annotations

Duncan Booth duncan.booth at suttoncourtenay.org.uk
Fri Mar 31 10:12:56 CEST 2006


"Jim Jewett" <jimjjewett at gmail.com> wrote in 
news:fb6fbf560603301716x13c4cda7x7fd5e462850b5a03 at mail.gmail.com:

> As a strawman proposal:
> 
>     deletes = [(obj.__del__.cycle, obj) for obj in cycle
>                           if hasattr(obj, "__del__") and
> hasattr(obj.__del__, "cycle")]
>     deletes.sort()
>     for (cycle, obj) in deletes:
>         obj.__del__()
> 
> Lightweight __del__ methods (such as most resource managers) could set
> the cycle attribute to True, and thereby ensure that they won't cause
> unbreakable cycles.  Fancier object frameworks could use different
> values for the cycle attribute.  Any object whose __del__ is not
> annotated will still be at least as likely to get finalized as it is

That doesn't look right to me.

Surely if you have a cycle what you want to do is to pick just *one* of the 
objects in the cycle and break the link which makes it participate in the 
cycle. That should be sufficient to cause the rest of the cycle to collapse 
with __del__ methods being called from the normal refcounting mechanism.

So something like this:

for obj in cycle:
    if hasattr(obj, "__breakcycle__"):
        obj.__breakcycle__()
        break

Every object which knows it can participate in a cycle then has the option 
of defining a method which it can use to tear down the cycle. e.g. by 
releasing the resource and then deleting all of its attributes, but no 
guarantees are made over which obj has this method called. An object with a 
__breakcycle__ method would have to be extra careful as its methods could 
still be called after it has broken the cycle, but it does mean that the 
responsibilities are in the right place (i.e. defining the method implies 
taking that into account).


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