Random Numbers and Pathos Multiprocessing

I was wondering if there were a recommended way of using the parallel map feature in pathos.multiprocessing.ProcessPool for functions that involve random number generation, i.e.,

def f(x):
    return x*np.random.rand()

pool = pathos.multiprocessing.ProcessPool(nodes=4)

results = pool.map(f,np.linspace(0,1,11))

I suspect I could do something simple like add np.random.seed() to the f function, but I would, ideally, like some reproducibility. Is there a way to just assign a different, known, seed to each of the workers in the pool and then execute the mapping?