Hi!
The v16 is because it uses time based version numbering.
Regards,
Florian Schulze
On 6 Dec 2016, at 12:52, Floris Bruynooghe wrote:
Hi,
Personally I also don't mind the dependency. Though I know in the past
we've had a policy of keeping dependencies to a minimum as well as
licenses. Attrs uses MIT as well so that should not be a problem.
One thing which does stand out is that attrs is at v16, suggesting
they
break their API a lot. Since you work with it already I guess you have
an
idea on whether they've stabilised by now or the changes are not so
bad?
As an aside, if we're happy to introduce more libraries then maybe we
should also consider the standard six package instead of doing our own
stuff, mostly because I'd make it easier for new contributors.
Regards,
Floris
On 6 Dec 2016 11:16, "Bruno Oliveira" <[email protected]> wrote:
Oh good point Raphael.
Here's the link for the discussion about pip dropping Python 2.6:
https://github.com/pypa/pip/issues/3955
Cheers,
Bruno
On Tue, Dec 6, 2016 at 8:57 AM Raphael Pierzina <[email protected]>
wrote:
Hey there,
I don’t mind adding a dependency as long as there is a need for it.
+1
The problem I see with ‘attrs’ as it stands today, is that it
does not
support Python 2.6 whereas pytest does. So we probably want to get
https://github.com/pytest-dev/pytest/issues/1273 in before adding
‘attrs’
as a dependency. I’m not up-to-date with how things are in pip as
to
dropping Python 2.6 compatibility. I can’t seem to find a ticket on
the pip
issue tracker.
Best,
Raphael
On 06 Dec 2016, at 09:52, Bruno Oliveira <[email protected]>
wrote:
Hi Ronny,
Could you list the classes which you think would be changed to use
'attrs'? I'm not against adding another dependency if it can help us
maintain the codebase. Also, introducing a new dependency should be
done in
`3.1.0`, not in a patch release.
Cheers,
Bruno.
On Tue, Dec 6, 2016 at 5:44 AM Ronny Pfannschmidt <
[email protected]> wrote:
Hi all,
i'd like to introduce https://pypi.python.org/pypi/attrs as a
dependency,
its a fairly usefull library that takes away quite some boilerplate
and
common error cause while automatically adding repr, comparators and
similar small details to python classes.
I have used it in a number of personal projects, and dont want to
miss
it by now.
-- Ronny
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