On Thu, May 21, 2015 at 7:06 PM, Alexander Belopolsky <ndar...@mac.com> wrote:
> 1. Is there a simple expression using existing numpy functions that > implements PEP 465 semantics for @? > > 2. Suppose I have a function that takes two vectors x and y, and a matrix > M and returns x.dot(M.dot(y)). I would like to "vectorize" this function > so that it works with x and y of any ndim >= 1 and M of any ndim >= 2 > treating multi-dimensional x and y as arrays of vectors and M as an array > of matrices (broadcasting as necessary). The result should be an array of > xMy products. How would I achieve that using PEP 465's @? > > If you are willing to run Python 3.5 (use 3.6.0a3, a4 crawls with the bugs), you can use gh-5878 <https://github.com/numpy/numpy/pull/5878>. The override mechanisms are still in process in Nathaniel's PR, so that may change. I'd welcome any feedback. Chuck
_______________________________________________ NumPy-Discussion mailing list NumPy-Discussion@scipy.org http://mail.scipy.org/mailman/listinfo/numpy-discussion
