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As mentioned in issue7060, weak dict iterators are easily broken by
cyclic garbage collection changing the size of the underlying dict storage:
 File "/home/rdmurray/python/py3k/Lib/weakref.py", line 121, in items
 for wr in self.data.values():
RuntimeError: dictionary changed size during iteration
One possible solution is to delay all removals until all iterators are
done. Here is a context manager-based solution.

> delay all removals until all iterators are done
+1

This new patch makes it possible to mutate the dict without messing with
the delayed removal when an iterator exists.

It occurs weaksets have the same problem, here is a new patch fixing
them as well.

LGTM

Committed in r77365 (py3k) and r77366 (3.1). Thank you.

The issue still exists in 2.6 and 2.7.
Closing issue 839159 as a duplicate of this one.

Any plans on actually patching this in 2.7 any time soon? This is affecting our software and hanging it on random occasions.

What is the status of this issue? Does anyone still want to backport the fix to Python 2.7?
(I found this issue while searching for test_multiprocessing failures, and I found #7060 which refers this issue.)

Attached is a version for 2.7
Btw, I think a cleaner way to deal with unpredictable GC runs is to be able to temporarily disable GC with a context manager.

> Btw, I think a cleaner way to deal with unpredictable GC runs is to be able to temporarily disable GC with a context manager
Disabling the GC in a library function sounds very ugly to me.

No matter how it sounds, it certainly looks cleaner in code.
Look at all this code, designed to work around an unexpected GC collection with various pointy bits and edge cases and special corners.
Compare to explicitly just asking GC to relent, for a bit:
def getitems(self):
 with gc.disabled():
 for each in self.data.items():
 yield each
That's it.
While a native implementation of such a context manager would be better (faster, and could be made overriding), a simple one can be constructed thus:
@contextlib.contextmanagerd
def gc_disabled():
 enabled = gc.isenabled()
 gs.disable()
 try:
 yield
 finally:
 if enabled:
 gc.enable()
 
Such global "atomic" context managers are well known to stackless programmers. It's a very common idiom when building higher level primitives (such as locks) from lower level ones.
with stackless.atomic():
 do()
 various()
 stuff_that_does_not_like_being_interrupted()
(stackless.atomic prevents involuntary tasklet switching _and_ involuntary thread switching)

> No matter how it sounds, it certainly looks cleaner in code.
It's also unsafe and invasive, since it's a process-wide setting. An
iterator can be long-lived if it's being consumed slowly, so you've
disabled garbage collection for an unknown amount of time, without the
user knowing about it. Another thread could kick in and perhaps
re-enable it for whatever reason.
Oh if someone calls gc.collect() explicitly, the solution is suddenly
defeated.

Yes, the "long iterator" scenario is the reason it is not ideal for this scenario.
The other one (gc.collect()) is easily solved by implementing this construct natively. It can be done rather simply by adding an overriding "pause" property to gc, with the following api:
def pause(increment):
 """
 pause or unpause garbage collection. A positive value
 increases the pause level, while a negative one reduces it.
 when paused, gc won't happen even when explicitly requested with
 gc.collect(), until the pause level drops to 0.
 """
I'm sure there are other places in the code with local execution that would benefit from not having an accidental GC run happen. I'm sure I've seen such places, with elaborate scaffolding to safeguard itself from such cases.
Anyway, my 2 aurar worth of lateral thinking applied to the problem at hand :)
What about the patch itself?

Speaking of which, this is not only about GC runs, although it is the most annoying scenario (since you basically don't control when it happens). Regular resource reaping because of reference counting can also wreak havoc.
About the patch, I don't know. It introduces new complexity in 2.7 which should be fairly stable by now. The one thing I don't like is your replacement of "iterator" by "iterable" in the docs.
(you also have one line commented out in the tests)

The changes for the docs are just a port of the original patch. And indeed, these functions don't return an iterator, but a generator object.
I admit I'm confused by the difference, since next() can be called directly on the generator. Still, a lot of code in the test explicitly calls iter() on the iterators before doing next(). Not sure why.
The commented out line is an artifact, I'll remove it, the correct one is the test for 20 items.
Otherwise, I have no vested interest in getting this in. My porting this is just me contributing to 2.7. If it's vetoed, we'll just put it in 2.8.

Here's a different approach.
Simply avoid the use of iterators over the underlying container.
Instead, we iterate over lists of items/keys/values etc.

I appreciate the simplicity, but I don't think it is acceptable -- if the dict is large, materializing the entire list of keys/values/items might allocate a prohibitive amount of memory. It's worse if you have code that is expected to break out of the loop.

Yes, the old memory argument.
But is it valid? Is there a conceivable application where a dict of weak references would be storing a large chunk of the application memory?
Remember, all of the data must be referred to from elsewhere, or else, the weak refs would not exist. An extra list of pointers is unlikely to make a difference.
I think the chief reason to use iterators has to do with performance by avoiding the creation of temporary objects, not saving memory per-se.
Before the invention of "iteritems()" and friends, all such iteration was by lists (and hence, memory usage). We should try to remain nimble enough so that we can undo an optimization previously done, if the requirements merit us doing so.
As a completely unrelated example of such nimbleness: Faced with stricter regulations in the 70s, american car makers had to sell their muscle cars with increasingly less powerful engines, efectively rolling back previous optimizations :)
Anyway, it's not for me to decide. We have currently three options:
a) my first patch, which is a duplication of the 3.x work but is non-trivial and could bring stability issues
b) my second patch, which will increase memory use, but to no more than previous versions of python used while iterating
c) do nothing and have iterations over weak dicts randomly break when an underlying cycle is unraveled during iteration.
Cheers!

> Anyway, it's not for me to decide. We have currently three options:
> a) my first patch, which is a duplication of the 3.x work but is
> non-trivial and could bring stability issues
> b) my second patch, which will increase memory use, but to no more
> than previous versions of python used while iterating
> c) do nothing and have iterations over weak dicts randomly break when
> an underlying cycle is unraveled during iteration.
Either a) or c), for me. We shouldn't change semantics in bugfix
releases.

I'm with Antoine. Have we heard of any problems with the 3.x version of the patch? How different is it?

Strictly speaking b) is not a semantic change. Depending on your semantic definition of semantics. At any rate it is even less so than a) since the temporary list is hidden from view and the only side effect is additional memory usage.

d), We could also simply issue a (documentation) warning, that the "iterator" methods of these dictionares are known to be fragile, and recommend that people use the keys(), values() and items() instead.

d) sounds like a good enough resolution at this point.

I'm not sure I understand the hesitation about backporting the Python 3 solution. We're acknowledging it's a bug, so the fix is not a feature. The Python 3 solution is the future. So why not fix it?

That's the spirit, Guido :)
I just think people are being extra careful after the "regression" introduced in 2.7.5.
However, IMHO we must never let the odd mistake scare us from making necessary moves.
Unless Antoine explicitly objects, I think I'll submit my patch from november and we'll just watch what happens.

I'm ok with the backport.

New changeset 03fcc12282fc by Kristján Valur Jónsson in branch '2.7':
Issue #7105: weak dict iterators are fragile because of unpredictable GC runs
http://hg.python.org/cpython/rev/03fcc12282fc 

Since this is backported, shouldn't it be closed?

Shouldn't the documentation be updated?
https://docs.python.org/3.6/library/weakref.html#weakref.WeakKeyDictionary
Note Caution: Because a WeakKeyDictionary is built on top of a Python dictionary, it must not change size when iterating over it. This can be difficult to ensure for a WeakKeyDictionary because actions performed by the program during iteration may cause items in the dictionary to vanish "by magic" (as a side effect of garbage collection).