[SciPy-dev] Suppressing of numpy __mul__, __div__ etc
Sun Dec 13 16:19:55 CST 2009
On Sat, Dec 12, 2009 at 4:16 PM, Robert Kern <email@example.com> wrote:
> I think what he is asking for is an empty mixin class which other
> folks could subclass to mark their classes. It would say "Hey,
> ndarray! Let my __mul__, __rmul__, etc., take priority over yours,
> regardless of which of us comes first in the expression." Otherwise,
> ndarray will gladly consume pretty much any object on the other side
> of the operator because it will treat it as an object scalar.
> We could also define a standard attribute that could mark such classes
> instead of requiring a mixin subclass.
We could use this functionality in scipy.sparse too. In particular,
it would be nice if asarray(some_sparse_matrix) just worked so we
could toss (presumably small) sparse matrices into functions expecting
Like Dmitrey, we need to invoke sparse.__rmul__(dense) when
encountering dense * sparse.
Nathan Bell firstname.lastname@example.org
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