Jitclass methods that takes another instance of the same jitclass?

Numba Support: How do I do ...?
1

Is it possible to have a jitclass with overloaded operators that takes another jitclass? Something like:

spec = [
    ('content', complex128[:]),               # a simple scalar field
]

@jitclass(spec)
class Container():
    def __init__(content):
        self.content = content
   @njit(Container(Container, Container))
   def __mul__(self,other):
       return(Container(np.convolve(self.content, other.content)))

   @njit(Container(Container, complex128))
   def __mul__(self,other):
       return(Container(self.content * other)

   @njit(Container(Container, Container))
   def __add__(self,other):
       return(self.content + other.content)
...

I need this to loop over code segments generated from very long expressions generated with mathematica that are hard to further reformat:

a = [list of Containers]
b = [list of Containers]
c = [list of Containers]
result_list = []
for i in prange(100):
    result_list.append(
        a[i]*b[i]*c[i]+0.2*d[i]+a[i]*(i+(a[i]+b[i])*c[i])....
    )

Thanks!