py26-numpy is much slower than NumPy compiled for MacPython

[Konrad Hinsen]

On 09.12.2010, at 00:25, Frank Schima wrote:
> On Dec 8, 2010, at 9:28 AM, Eric A. Borisch wrote:
> 
>> == Executive summary ==
>> The OS python has different numpy exception handling settings, and this is the reason for the performance difference.

...
>> I haven't looked at how or why these settings are different, but I believe this is the culprit.
> 
> Nice detective work. I can confirm that setting "numpy.seterr(all='ignore')" causes the benchmark to run at the faster time. 

Me too. I also checked with my real-life application that led to this benchmark, and they are now slightly faster with the MacPorts python than with the system python. Thanks a lot!

Konrad.