On Wed, Jan 13, 2016 at 5:18 AM, Charles R Harris
wrote:
>
> Hi All,
>
> I've opened issue #7002, reproduced below, for discussion.
>>
>> Numpy umath has a file scalarmath.c.src that implements scalar
arithmetic using special functions that are about 10x faster than the
On Tue, Jan 12, 2016 at 9:18 PM, Charles R Harris
wrote:
>
> Hi All,
>
> I've opened issue #7002, reproduced below, for discussion.
>>
>> Numpy umath has a file scalarmath.c.src that implements scalar arithmetic
>> using special functions that are about 10x faster than
On Mon, Jan 11, 2016 at 5:29 PM, Nathaniel Smith wrote:
> I agree that talking about such things on distutils-sig tends to elicit a
> certain amount of puzzled incomprehension, but I don't think it matters --
> wheels already have everything you need to support this.
>
well,
Just thought I would add here a general comment I made in the thread:
replacing scalars everywhere with array scalars (i.e., ndim=0) would be
great also from the perspective of ndarray subclasses; as is, it is quite
annoying to have to special-case, e.g., getting a single subclass element,
and
On Mi, 2016-01-13 at 10:33 -0500, Marten van Kerkwijk wrote:
> Just thought I would add here a general comment I made in the thread:
> replacing scalars everywhere with array scalars (i.e., ndim=0) would
> be great also from the perspective of ndarray subclasses; as is, it
> is quite annoying to