[Numpy-discussion] Compiling for free on Windows32

Fadhley Salim Fadhley.Salim at uk.calyon.com
Thu Apr 16 11:12:11 EDT 2009


I agree with Robert

There should be no reason on earth why you cannot use an Egg to package
Numpy. Setuptools is not fragile, it's very stable but requires a bit of
understanding.

The problem I have is not packaging numpy but compiling it on Windows.
If I could compile the C I'd have built the egg in moments. The fact
that I cannot compile the current version of Numpy is almost certainly
not the fault of setuptools!

Regarding the stability of Numpy in an Egg-wrapper - we run numpy 1.1.1
as an egg on about 100 workstations, 20 servers and countless grid CPUs
with no problems at all. It's exactly as stable as Numpy installed from
an exe, only we do not have to pay somebody to manually install it on
all those computers.

-----Original Message-----
From: numpy-discussion-bounces at scipy.org
[mailto:numpy-discussion-bounces at scipy.org] On Behalf Of Robert Kern
Sent: 16 April 2009 06:51
To: Discussion of Numerical Python
Subject: Re: [Numpy-discussion] Compiling for free on Windows32

On Thu, Apr 16, 2009 at 00:45, Gael Varoquaux
<gael.varoquaux at normalesup.org> wrote:
> On Wed, Apr 15, 2009 at 07:33:48PM +0100, Fadhley Salim wrote:
>> We deploy on a very large number of computers in 5 countries.
>
>> PEAK's Setuptools gives us the ability to do all this deployment 
>> automatically. If we can package all of our dependancies as egg files

>> then setuptools automatically deploys the egg files from a bunch of 
>> web-servers we have around the globe. It would be an enormous pain if

>> we had to go to every single machine and run an exe installer.
>
> PEAK's setuptools is fragile with complex packages. This is the core 
> reason numpy is not distributed as an egg, as the implications on what

> numpy would have to do to 'fit' in an egg compromise numpy's instal 
> quality (read: random crashes). David would tell you more about this, 
> since he went through all this pain.

Nonsense. There is no reason that numpy *has* to be built with an
optimized BLAS. We try hard to ensure that. It is David's desire to
distribute numpy builds with optimized BLASes that does not fit into
eggs, not numpy. Plain numpy eggs are really straightforward.

--
Robert Kern

"I have come to believe that the whole world is an enigma, a harmless
enigma that is made terrible by our own mad attempt to interpret it as
though it had an underlying truth."
  -- Umberto Eco
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