Numba apply mapping to ndarray

Question

Very simple question, which I have looked for but haven't found a clear answer. I would like to efficiently apply a mapping to an input ndarray, remapping each element in the array and returning the modified array.

A simple version using numpy would be something like:

def remap(a, mapping):
    return np.vectorize(mapping.__getitem__)(a)

I am pretty sure I can't use Numba vectorize but was hoping to be able to use guvectorize. But it looks like I can't pass a Numba TypedDict into a guvectorize function either. Any suggestions welcome