On 14/6/19 1:37 am, Sebastian Berg wrote:
For such a scalar object instead what would seem necessary is to call a
`dtype.__coerce_pyvalue__(scalar, casting="safe")`, or a
`__can_coerce_pyvalue__` method/slot. It would replace the current
`PyArray_CanCastArrayTo`, which can only handle the
(this may be a bit thinking out loudly...)
On Thu, 2019-06-13 at 07:30 +0200, Hameer Abbasi wrote:
> Hi Sebastian,
>
> One way to avoid an ugly lookup table and special cases is to store
> the amount of sign bits, the amount of integer/mantissa bits and the
> amount of exponent bits for each
Hi Sebastian,
One way to avoid an ugly lookup table and special cases is to store the amount
of sign bits, the amount of integer/mantissa bits and the amount of exponent
bits for each numeric style. A safe cast can only happen if all three are
exceeded or equal. Just a thought.
Best Regards,
On Wed, 2019-06-12 at 12:03 -0500, Sebastian Berg wrote:
> On Tue, 2019-06-11 at 22:08 -0400, Marten van Kerkwijk wrote:
> > HI Sebastian,
> >
> > Thanks for the overview! In the value-based casting, what perhaps
> > surprises me most is that it is done within a kind; it would seem
> > an
> >
On Tue, 2019-06-11 at 22:08 -0400, Marten van Kerkwijk wrote:
> HI Sebastian,
>
> Thanks for the overview! In the value-based casting, what perhaps
> surprises me most is that it is done within a kind; it would seem an
> improvement to check whether a given integer scalar is exactly
>
HI Sebastian,
Thanks for the overview! In the value-based casting, what perhaps surprises
me most is that it is done within a kind; it would seem an improvement to
check whether a given integer scalar is exactly representable in a given
float (your example of 1024 in `float16`). If we switch to
Hi all,
strange, something went wrong sending that email, but in any case...
I tried to "summarize" the current behaviour of promotion and value
based promotion in numpy (correcting a small error in what I wrote
earlier). Since it got a bit long, you can find it here (also copy
pasted at the
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