[Numpy-discussion] Scalar-ndarray arguments passed to not_equal

[Keith Goodman]

On Thu, Feb 11, 2010 at 12:21 PM, Friedrich Romstedt
<friedrichromstedt at gmail.com> wrote:
> Hi Keith,
>
> 2010/2/11 Keith Goodman <kwgoodman at gmail.com>:
>> Is there some way to tell numpy to use my __eq__ instead of its own?
>> That would solve my problem. I had a similar problem with __radd__
>> which was solved by setting __array_priority__ = 10. But that doesn't
>> work in this case.
>
> It's quite simple, but hidden in the forest of documentation (though
> it mentiones it, and quite in detail).
>
> Use:
>
> numpy.set_numeric_ops(equal = my_equal_callable_object)
>
> Note that you should _not_ simply use a function:
>
> def equal(a, b):

Hey! You broke my numpy  :)

>> def addbug(x, y):
   ...:     return x - y
   ...:
>> old_funcs = np.set_numeric_ops(add=addbug)
>> np.array([1]) + np.array([1])
   array([0])

That is brilliant! Thanks again.