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@jit(nopython=True) def sum_squares(n): total = 0 for i in range(n): total += i * i return total # Parallel processing using multiprocessing def parallel_processing(n): pool = multiprocessing.Pool() results = pool.map(cpu_bound_operation, range(n)) pool.close() pool.join() return sum(results) #