On 05/12/2019 12:45 pm, Karthikeyan wrote:
On Thu, Dec 5, 2019, 5:53 PM Mark Shannon <m...@hotpy.org
<mailto:m...@hotpy.org>> wrote:
On 04/12/2019 2:31 am, Gregory P. Smith wrote:
>
>
> On Tue, Dec 3, 2019 at 8:21 AM Mark Shannon <m...@hotpy.org
<mailto:m...@hotpy.org>
> <mailto:m...@hotpy.org <mailto:m...@hotpy.org>>> wrote:
>
> Hi Everyone,
>
> I am proposing a new PEP, still in draft form, to impose a
limit of one
> million on various aspects of Python programs, such as the
lines of
> code
> per module.
>
> Any thoughts or feedback?
>
[snip]
>
>
> Overall I /like/ the idea of limits... /But.../ in my experience,
limits
> like this tend to impact generated source code or generated
bytecode,
> and thus any program that transitively uses those.
>
> Hard limits within the Javaish world have been *a major pain* on the
> Android platform for example. I wouldn't call workarounds
> straightforward when it comes to total number of classes or
methods in a
> process.
Do you have any numbers? 1M is a lot bigger then 64K, but real world
numbers would be helpful.
I guess the relevant case in question is with Facebook patching the
limit of 65,000 classes in Android :
https://m.facebook.com/notes/facebook-engineering/under-the-hood-dalvik-patch-for-facebook-for-android/10151345597798920
Is that the correct link? That seems to be an issue with an internal
buffer size, not the limit on the number of classes.
>
> If we're to adopt limits where there were previously none, we
need to do
> it via a multi-release deprecation cycle feedback loop to give
people a
> way to find report use cases that exceed the limits in real world
> practical applications. So the limits can be reconsidered or the
> recommended workarounds tested and agreed upon.
>
> -gps
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