[Numpy-discussion] [ANN] Nanny, faster NaN functions

Charles R Harris charlesr.harris@gmail....
Fri Nov 19 18:04:26 CST 2010

On Fri, Nov 19, 2010 at 3:18 PM, Christopher Barker

> On 11/19/10 11:19 AM, Keith Goodman wrote:
> > On Fri, Nov 19, 2010 at 10:55 AM, Nathaniel Smith<njs@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.

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