On Fri, Nov 19, 2010 at 3:18 PM, Christopher Barker <chris.bar...@noaa.gov>wrote:
> On 11/19/10 11:19 AM, Keith Goodman wrote: > > On Fri, Nov 19, 2010 at 10:55 AM, Nathaniel Smith<n...@pobox.com> wrote: > >> Why not make this a patch to numpy/scipy instead? > > > > My guess is that having separate underlying functions for each dtype, > > ndim, and axis would be a nightmare for a large project like Numpy. > > True, but: > > 1) Having special-cases for the most common cases is not such a bad idea. > > 2) could one use some sort of templating approach to get all the dtypes > and such that you want? > > 3) as for number of dimensions, I don't think to would be to hard to > generalize that -- at least for contiguous arrays. > > Note that the fmax/fmin versions can be sped up in the same way as sum.reduce was. Also, you should pass the flattened array to the routine for the axis=None case. Chuck
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