Parallel Python module using other server

Question

I'm using parallel python to do some number crunching on several computers. Everything was working fine till I thought it would be nice to include some classes.

Here is the code for submitting the jobs:

for i in xrange(n_cpus):
    jobs.append(job_server.submit(self.fcalc_rs_rp, (ch_lambdas[i], thetas, ch_n_arr[i]), (), ("import numpy as np", "from SimulationOO import *")))

It works perfectly fine on a single computer (also uses all cores, so fine), but if I try to use another server the calculations never stop.

The problem is that the server has no cpu load, because it can't load from SimulationOO import * since the file doesn't exist on the server.

One workaround would be to put the method .fcalc_rs_rp() out of the class and make it a function but actually I want to have the function inside a class and maybe you have a good idea?

If I try to not use the from SimulationOO import * part and instead define all functions needed as depfuncs, it gives the error AttributeError: 'module' object has no attribute 'Layer' where Layer is one of the classes I'm using.

Do you have any advice, how I could get this working?

Thank you