array of multivectors fails

@rkern or @moble, do either of you know why this happens?

import numpy as np
from clifford import Cl 
layout,blades = Cl(2) # note i changed firstIdx=1 by default in Cl
locals().update(blades)

np.array([e1,e2],dtype=np.object) 

yields

array([[0, 1, 0, 0],
       [0, 0, 1, 0]], dtype=object)

perhaps there are some special array-like methods that Multivector implements? is there a way to have an array of multivectors, instead of an array of their values?

[eric-wieser]

The big problem with __array_wrap__ is it runs after numpy has already done the computation. If you’re going to just do your own computation, you should use __array_ufunc__.

But if you’re not trying to be an array at all, then telling numpy how to turn yourself into one is sufficient.

[arsenovic]

thanks for the definitive reply!