#38438 closed update (fixed)
py-numpy: update to version 1.7.0
Reported by: | stromnov (Andrey Stromnov) | Owned by: | dh@… |
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Priority: | Normal | Milestone: | |
Component: | ports | Version: | |
Keywords: | haspatch | Cc: | |
Port: | py-numpy |
Description
Attachments (4)
Change History (9)
Changed 12 years ago by stromnov (Andrey Stromnov)
Attachment: | numpy-1.7.0.diff.gz added |
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comment:1 Changed 12 years ago by stromnov (Andrey Stromnov)
comment:2 follow-up: 4 Changed 12 years ago by seanfarley (Sean Farley)
Holy unrelated whitespace change, Batman! I've split this patch into whitespace change + updating to numpy 1.7 and also added another patch to change the default compiler to gcc 4.7. I'll attach the patches I just made to the ticket so other devs can look them over.
Also, I went ahead and removed the commented block of code for python 3.2. I just ran the test suite and it runs fine for this new version.
Changed 12 years ago by seanfarley (Sean Farley)
Attachment: | patch-numpy-whitespace.diff added |
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whitespace change
Changed 12 years ago by seanfarley (Sean Farley)
Attachment: | patch-numpy-upgrade-1.7.0.diff added |
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upgrade numpy to 1.7.0
Changed 12 years ago by seanfarley (Sean Farley)
Attachment: | patch-numpy-default-variant.diff added |
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change default compiler variant
comment:3 Changed 12 years ago by mf2k (Frank Schima)
Resolution: | → fixed |
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Status: | new → closed |
Version: | 2.1.3 |
comment:4 follow-up: 5 Changed 12 years ago by jmroot (Joshua Root)
Why remove the code for deleting unregistered .pyc files in the py32 subport? That's important to avoid activation failure for anyone who hasn't been upgrading regularly.
(Edit: never mind my original question to sean, I get it, it was commented in the original gzipped diff.)
comment:5 Changed 12 years ago by stromnov (Andrey Stromnov)
Replying to jmr@…:
Why remove the code for deleting unregistered .pyc files in the py32 subport? That's important to avoid activation failure for anyone who hasn't been upgrading regularly.
Unregister hack first time appears at r95253 (9 months ago). It's not really clear, why this hack exists at all, and exists only for py32 subport?
Successfully tested on ML (py24-numpy, py24-numpy+atlas+gcc45, py24-numpy+atlas+gcc47, py27-numpy, py27-numpy+atlas+gcc45, py27-numpy+atlas+gcc47, py33-numpy, py33-numpy+atlas+gcc45, py33-numpy+atlas+gcc47).