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))