Assume f is a function that consumes numpy arrays of shape N x d and returns arrays of the form N (i.e., it is a map from R^d to R and allows for vectorized calls).

What is the most elegant way to compute $\partial^{n_0}{0}\dots\partial^{n_d}{d}f$ using numdifftools, if possible in a vectorized fashion as well?