ThomLecha

from joblib import Parallel, delayed
import multiprocessing
import warnings

DEDICATED_CORE_NUMBER = max(multiprocessing.cpu_count() - 2, 1)

def multiProcess(f, argumentsList, coreNumber=DEDICATED_CORE_NUMBER, prt=1):
    """Takes a function, a list of parameter sets for the function, and a number of cores to use as parameters.
    Executes the function in parallel across all parameter sets (using 'coreNumber' cores)
    Returns the list of function returns.