Tue Nov 30 15:49:36 CST 2010
On Tue, Nov 30, 2010 at 1:34 PM, Christopher Barker
> On 11/30/10 11:50 AM, Keith Goodman wrote:
>> Bottleneck is a collection of fast, NumPy array functions written in Cython.
>> I'm almost ready for a first preview release. If anyone could install
>> the package (directions in readme) and run the unit tests on windows
>> or mac or 32-bit linux, I'd be very interested in the results.
> OK -- tested on Mac OS-X 10.6, Intel, 32 bit Python 2.6.6
> 1) How necessary is scipy as a dependency? It'd be nice to have these
> for numpy-only stuff. As a rule, Scipy is way too inter-meshed as it is
> -- I'd love to have more packages that you could easily install and use
> without the whole scipy package.
I use SciPy for benchmarking (scipy.stats.nanmean, nanstd, etc). I
also unit test the moving window functions against a version that uses
scipy.ndimage. But I could make scipy optional in a later release.
> -- off to get scipy installed on this system --
> In : scipy.__version__
> Out: '0.8.0'
> In : bottleneck.test()
> Running unit tests for bottleneck
> NumPy version 1.5.1
> NumPy is installed in
> Python version 2.6.6 (r266:84374, Aug 31 2010, 11:00:51) [GCC 4.0.1
> (Apple Inc. build 5493)]
> nose version 0.11.4
> WOW! a LOT of these warnings:
> Warning: invalid value encountered in divide
> (and similar)
Yeah, I started getting those too when I upgraded to numpy 1.5.1. Any ideas?
> Ran 10 tests in 14.709s
> Out: <nose.result.TextTestResult run=10 errors=0 failures=0>
> So -- looking good!
Thank you so much. Mac OS X: check!
More information about the SciPy-User