I think so.
Changing the order between "np.array([1,2,3]) * a" and "a *
np.array([1,2,3])" should return the same type I think, specificaly when
array_priority is defined.
Fred
On Thu, May 30, 2013 at 3:28 PM, Thomas Robitaille <
thomas.robitai...@gmail.com> wrote:
> Hi Frederic,
>
> On 16 May
Hi Frederic,
On 16 May 2013 15:58, Frédéric Bastien wrote:
> I looked yesterday rapidly in the code and didn't find the reason (I don't
> know it well, that is probably why).
>
> But last night I think of one possible cause. I found this code 2 times in
> the file core/src/umath/ufunc_object.c:
>
I looked yesterday rapidly in the code and didn't find the reason (I don't
know it well, that is probably why).
But last night I think of one possible cause. I found this code 2 times in
the file core/src/umath/ufunc_object.c:
if (nin == 2 && nout == 1 && dtypes[1]->type_num == NPY_OBJECT) {
Hi everyone,
(this was posted as part of another topic, but since it was unrelated,
I'm reposting as a separate thread)
I've also been having issues with __array_priority__ - the following
code behaves differently for __mul__ and __rmul__:
"""
import numpy as np
class TestClass(object):
d
