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 @?