Is there a numpy/scipy dot product, calculating only the diagonal entries of the result?

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I think i got it on my own, but nevertheless will share the solution:

since getting only the diagonals of a matrix multiplication

> Z = N.diag(X.dot(Y))

is equivalent to the individual sum of the scalar product of rows of X and columns of Y, the previous statement is equivalent to:

> Z = (X * Y.T).sum(-1)

For the original variables this means:

> result = (A.dot(B) * A).sum(-1)

Please correct me if I am wrong but this should be it …

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