rand_parallel.py

import multiprocessing
import random
import sys

rangemin = 1
rangemax = 9

def randomGen(num):
    values = []
    for i in range(0, num):
        values.append(random.randint(rangemin, rangemax))
    return values

def randomGenPar_backend(backinput):
    return random.randint(rangemin, rangemax)

def randomGenPar(num):
    pool = multiprocessing.Pool()
    return pool.map(randomGenPar_backend, range(0, num))

randNum = int(sys.argv[1])

# NON-PARALLEL - USE FOR 1 CORE
# random.seed(999)
# randomGen(randNum)

# PARALLEL - USE FOR OPTIMAL PROCESSES
# random.seed(999)
# randomGenPar(randNum)