This is a different issue then mine. Mine is that array_priority is not
implemented for comparison.
Your is that array_priority isn't used when __array__ is defined.
Maybe you can make a new mailing list thread? Issue get more attention when
there is an associated email. I looked rapidly in
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):
def __init__(self, input_array):
self.array = input_array
def __mul__(self, other):
print Called __mul__
Hi,
it popped again on the Theano mailing list that this don't work:
np.arange(10) = a_theano_vector.
The reason is that __array_priority__ isn't respected for that class of
operation.
This page explain the problem and give a work around:
I'm trying to do it, but each time I want to test something, it takes a
long time to rebuild numpy to test it. Is there a way to don't recompile
everything for each test?
thanks
Fred
On Fri, May 10, 2013 at 1:34 PM, Charles R Harris charlesr.har...@gmail.com
wrote:
On Fri, May 10, 2013 at
On Fri, 2013-05-10 at 15:35 -0400, Frédéric Bastien wrote:
I'm trying to do it, but each time I want to test something, it takes
a long time to rebuild numpy to test it. Is there a way to don't
recompile everything for each test?
Are you using current master? It defaults to use
thanks, I'll look at it.
I made a PR: https://github.com/numpy/numpy/pull/3324
Where should I put the tests about this?
thanks
Fred
On Fri, May 10, 2013 at 4:03 PM, Sebastian Berg
sebast...@sipsolutions.netwrote:
On Fri, 2013-05-10 at 15:35 -0400, Frédéric Bastien wrote:
I'm trying to do
