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? > >
