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 <bhavishyagop...@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.stin...@gmail.com> > wrote: > >> 2017-06-21 15:21 GMT+02:00 INADA Naoki <songofaca...@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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