def get_difference(function_pair, count_matrices, average_calculation, poly_postprocessing, exp_postprocessing): """ Retrieves the difference between two functions using the munkres algorithm. :param function_pair: A tuple containing both indices for the count_matrices dictionary. :param count_matrices: A dictionary holding CMs. :param average_calculation: If set to true the difference calculation function will take the average of all variable differences as the difference, else it will normalize the function as a whole and thus weighting in variables dependent on their size. :param poly_postprocessing: If set to true, the difference value of big function pairs will be reduced using a polynomial approach. :param exp_postprocessing: If set to true, the difference value of big function pairs will be reduced using an exponential approach. :return: A tuple containing both function ids and their difference. """ function_1, function_2 = function_pair return (function_1, function_2, compare_functions(count_matrices[function_1], count_matrices[function_2], average_calculation, poly_postprocessing, exp_postprocessing))
def get_difference(function_pair, count_matrices, average_calculation, poly_postprocessing, exp_postprocessing): """ Retrieves the difference between two functions using the munkres algorithm. :param function_pair: A tuple containing both indices for the count_matrices dictionary. :param count_matrices: A dictionary holding CMs. :param average_calculation: If set to true the difference calculation function will take the average of all variable differences as the difference, else it will normalize the function as a whole and thus weighting in variables dependent on their size. :param poly_postprocessing: If set to true, the difference value of big function pairs will be reduced using a polynomial approach. :param exp_postprocessing: If set to true, the difference value of big function pairs will be reduced using an exponential approach. :return: A tuple containing both function ids and their difference. """ function_1, function_2 = function_pair return (function_1, function_2, compare_functions(count_matrices[function_1], count_matrices[function_2], average_calculation, poly_postprocessing, exp_postprocessing))