I think you're asking on the wrong list :P On Fri, Oct 7, 2016 at 1:56 PM, Gabriel Gellner <gabrielgell...@gmail.com> wrote:
> Any reason to not just use a function? (like np.dot etc) > > My understanding is that in python '*' means elementwise multiplication, > so even if you could monkeypatch numpys __mul__ method to do the right > thing wouldn't you be changing the semantics? > > Gabriel > > On Friday, October 7, 2016 at 3:51:11 AM UTC-6, Sisyphuss wrote: > >> In Julia, we can do multiple dispatch for operators, that is the >> interpreter can identify: >> float + integer >> integer + integer >> integer + float >> float + float >> as well as *user-defined* data structure. >> >> Recently, I am working on Python (I have no choice because Spark hasn't >> yet a Julia binding). I intended to do the same thing -- multiplication -- >> between a Numpy matrix and self-defined Low-rank matrix. Of course, I >> defined the `__rmul__ ` method for Low-rank matrix. However, it seems to me >> that the Numpy matrix intercepts the `*` operator as its `__mul__` method, >> which expects the argument on the right side of `*` to be a scalar. >> >> I would like to know if there is anyway around? >> >>
