2.6.1 release cycle has begun

I have started the release cycle for 2.6.1, are there outstanding issues or soon-to-be-committed features I should wait for? Please help with the release notice, what have we done since 2.6.0 or at all? Any suggestions for names? https://bitbucket.org/pypy/pypy/src/release-2.6.x/pypy/doc/release-2.6.1.rst Matti

Hi Matti, On 19 August 2015 at 20:36, Matti Picus <matti.picus@gmail.com> wrote:
Please help with the release notice, what have we done since 2.6.0 or at all?
The stdlib is now 2.7.10 and cffi is 1.2. I think the most interesting change is int-float-list-strategy, at least in terms of explaining it: """Use a compact strategy for Python lists that mix integers and floats, at least if the integers fit inside 32 bits. These lists are now stored as an array of floats, like lists that contain only floats; the difference is that integers are stored as tagged NaNs. (This should have no visible effect! After ``lst = [42, 42.5]``, the value of ``lst[0]`` is still *not* the float ``42.0`` but the integer ``42``.)""" Maybe mention that numpy support is getting more and more complete, and vmprof support is improving. A bientôt, Armin.

On Wednesday, 19 August 2015 21:36:37 Matti Picus wrote:
I have started the release cycle for 2.6.1, are there outstanding issues or soon-to-be-committed features I should wait for?
Hi Matti, It would be great if the patch from issue #2107 could be committed. The patch has been compile tested an FreeBSD. After this patch has been committed FreeBSD will not need any patches to compile PyPy (from the Ports Collection) :-D. Regards

Hi Matti, On 19 August 2015 at 20:36, Matti Picus <matti.picus@gmail.com> wrote:
Please help with the release notice, what have we done since 2.6.0 or at all?
The stdlib is now 2.7.10 and cffi is 1.2. I think the most interesting change is int-float-list-strategy, at least in terms of explaining it: """Use a compact strategy for Python lists that mix integers and floats, at least if the integers fit inside 32 bits. These lists are now stored as an array of floats, like lists that contain only floats; the difference is that integers are stored as tagged NaNs. (This should have no visible effect! After ``lst = [42, 42.5]``, the value of ``lst[0]`` is still *not* the float ``42.0`` but the integer ``42``.)""" Maybe mention that numpy support is getting more and more complete, and vmprof support is improving. A bientôt, Armin.

On Wednesday, 19 August 2015 21:36:37 Matti Picus wrote:
I have started the release cycle for 2.6.1, are there outstanding issues or soon-to-be-committed features I should wait for?
Hi Matti, It would be great if the patch from issue #2107 could be committed. The patch has been compile tested an FreeBSD. After this patch has been committed FreeBSD will not need any patches to compile PyPy (from the Ports Collection) :-D. Regards
participants (5)
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Armin Rigo
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David Naylor
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Maciej Fijalkowski
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Matti Picus
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Phyo Arkar