[Numpy-discussion] OS X binaries for releases

Tue Aug 20 18:35:15 EDT 2013

llvm-gcc.  You have to specify the right options which I can look up tomorrow when I'm back in the office.  We don't invoke gcc directly, we use xcrun.

On Aug 20, 2013, at 18:31, "David Cournapeau" <cournape at gmail.com<mailto:cournape at gmail.com>> wrote:

On Tue, Aug 20, 2013 at 11:20 PM, KACVINSKY Tom <Tom.KACVINSKY at 3ds.com<mailto:Tom.KACVINSKY at 3ds.com>> wrote:
You can use the 10.6 SDK on 10.8.  At least we do.

With which compiler ?

David

Tom

On Aug 20, 2013, at 18:17, "David Cournapeau" <cournape at gmail.com<mailto:cournape at gmail.com>> wrote:

On Tue, Aug 20, 2013 at 9:48 PM, Ralf Gommers <ralf.gommers at gmail.com<mailto:ralf.gommers at gmail.com>> wrote:
Hi all,

Building binaries for releases is currently quite complex and time-consuming. For OS X we need two different machines, because we still provide binaries for OS X 10.5 and PPC machines. I propose to not do this anymore. It doesn't mean we completely drop support for 10.5 and PPC, just that we don't produce binaries. PPC was phased out in 2006 and OS X 10.6 came out in 2009, so there can't be a lot of demand for it (and the download stats at http://sourceforge.net/projects/numpy/files/NumPy/1.7.1/ confirm this).

Furthermore I propose to not provide 2.6 binaries anymore. Downloads of 2.6 OS X binaries were <5% of the 2.7 ones. We did the same with 2.4 for a long time - support it but no binaries.

So what we'd have left at the moment is only the 64-bit/32-bit universal binary for 10.6 and up. What we finally need to add is 3.x OS X binaries. We can make an attempt to build these on 10.8 - since we have access to a hosted 10.8 Mac Mini it would allow all devs to easily do a release (leaving aside the Windows issue). If anyone has tried the 10.6 SDK on 10.8 and knows if it actually works, that would be helpful.

I am not sure one can use 10.6 SDK on 10.8 ? I am actually looking into those issues for our mac support at Enthought

Are you here for euroscipy ?

David

Any concerns, objections?

Cheers,
Ralf

P.S. the same proposal applies of course also to scipy

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