> On Sep 27, 2019, at 12:52 PM, Andrew Barnert via Python-ideas > <python-ideas@python.org> wrote: > > > On Friday, September 27, 2019, 07:47:41 AM PDT, Johnny Dahlberg > <svartchimp...@gmail.com> wrote: > > > My proposal: Implement `@dataclass(slots=True)` which does the same thing > > as attrs: Replaces the class with a modified class that has a `__slots__` > > property instead of a `__dict__`. And fully supporting default values in > > the process. > > I don't think anyone would be against this in principle; the question is > implementing it, and bikeshedding. For example, if nobody's come up with a > better implementation than Eric's original one, should we add a > @dataclass_slots decorator, or a @slotsify that you put around @dataclass, or > get rid of the guarantee that @dataclass returns your class with extra > dunders. > > IIRC, the consensus after the discussion at the time was that this was a > feature that could be added later, after a bit more experience in the field > (and maybe someone will come up with a better implementation by then), so it > was just deferred to the future rather than rejected. > > Meanwhile, the @slotsify or @dataclass_slots should be writable as a PyPI > package. Has anyone done that? If there's a popular and stable > implementation, that's a good argument for merging it into the stdlib (and > leaving it on PyPI as a backport). If it turned out to be tricky to implement > without modifying dataclass itself, explaining why could also be a good > argument for moving it into the stdlib.
I keep threatening to add a more-dataclasses (or similar) to PyPI. Maybe I’ll actually get around to it now and add this decorator. Eric > _______________________________________________ > Python-ideas mailing list -- python-ideas@python.org > To unsubscribe send an email to python-ideas-le...@python.org > https://mail.python.org/mailman3/lists/python-ideas.python.org/ > Message archived at > https://mail.python.org/archives/list/python-ideas@python.org/message/OQGEYZDD4X642ESWBW6YJCXQ2YUIEHCC/ > Code of Conduct: http://python.org/psf/codeofconduct/
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