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Python threading and sharing variables

On Thu, Jul 6, 2017 at 12:39 AM, eryk sun <eryksun at gmail.com> wrote:
>> This doesn't show a potential concurrency problem. Calculating a hash
>> on "cnt" is independent of other threads; the actual work of
>> __setitem__ isn't visible in this view. There certainly are places
>> where a context switch could cause problems (eg resizing the dict),
>> but they're the dict's problem, not your Python program's - because
>> there's no way you could acquire a lock without working with these
>> same issues.
> The work in the above special methods is arbitrary bytecode that could
> do anything, and there's nothing to prevent a context switch here. The
> GIL provides no protection here. In principle it could be a problem,
> but in practice it is not.

But what could it do? Most likely, it's going to end up mutating a
dict (the core type), so unless the __setitem__ is itself maintaining
complex state that needs a lock, all you've done is move the problem
around, and the same solutions work.