[Python-Dev] [Core-mentorship] C version of weakrefset.py.
Bhavishya
bhavishyagopesh at gmail.com
Thu Jun 22 19:04:38 EDT 2017
Also I saw your conversation with "Brett Cannon" on lazy-loading some
modules at startup, and also doing so using ModuleProxy(also several
implementations that exist like importlib's Lazyloader
<https://docs.python.org/3/library/importlib.html?highlight=lazy%20import#importlib.util.LazyLoader.factory>,
PEAK <http://peak.telecommunity.com/DevCenter/Importing> ).
So your suggestion's on this too?
Thank You
regards,
Bhavishya
On Thu, Jun 22, 2017 at 7:24 PM, Bhavishya <bhavishyagopesh at gmail.com>
wrote:
> Hello,
> 1)I might be totally wrong here, but even if we go with stripping
> annotation(in .pyc)...still the "lag" that comes from ABCs needs to be
> addressed.
>
> 2) I been reading for past few days about your fat-optimizer project and
> the corresponding TO-DO list, if you think that PEP-0511 should be
> improved, I can work on that.
>
> 3)Also I was seeing to existing repos which implement some-kind of
> optimizaton, like
> numpy,snake-oil....
>
> Finally I wanted to decide upon a roadmap, so that I could put more
> specific efforts.(fat optimizer?)
>
> Thank You
> Regards,
> Bhavishya
>
> On Wed, Jun 21, 2017 at 8:05 PM, Victor Stinner <victor.stinner at gmail.com>
> wrote:
>
>> 2017-06-21 15:21 GMT+02:00 INADA Naoki <songofacandy at gmail.com>:
>> > ABC slowdown Python startup only 2ms. But importing typing module take
>> 11ms.
>> > While typing is not imported from site.py, many new Python application
>> > will import it.
>> > It may take over 100ms for applications or libraries heavily depending
>> on ABCs.
>>
>> When typing is not used in the application, only used for static
>> checks, you can try to "strip" annotations to avoid any overhead on
>> the application startup. It's not only a matter of "import typing",
>> it's also the cost of instanciating types like "List[int]" (or even
>> more complex ones).
>>
>> I discussed with Jukka Lehtosalo at Pycon US about stripping
>> completely annotations. He told me that my PEP 511 may be a good
>> solution to keep annotation in the .py code, but strip them for
>> "production code", in the cached .pyc files:
>>
>> "PEP 511 -- API for code transformers"
>> https://www.python.org/dev/peps/pep-0511/
>>
>> This PEP is somehow controversal. Some people fear that it would allow
>> people to hack the Python language to write their own incompatible
>> variant of Python. I don't think that my PEP adds anything new, it's
>> already possible to do that, importlib made it even more easy. I used
>> my FAT Python optimizer project to sell this PEP. Since FAT Python is
>> also controversal (it hasn't been proved to be actually faster), the
>> PEP didn't go far at my last attempt.
>>
>> Note: Is core-menthorship the best place for such performance
>> discussion? :-) Maybe we should open a thread on python-dev@ or speed@
>> mailing list.
>>
>> Victor
>>
>
>
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