msmatchapiprop.py

def simfun1(factor=3.0):
    # just some nonsense to demonstrate usage of a parameter 
    # when comparing 2 spectrums

    def implementation(spectrum, reference_spectrum):
        print(spectrum)
        print(reference_spectrum)
        print(factor)
        return (max(spectrum) + max(reference_spectrum) ) * factor;

    return implementation

class Scores:
    def __init__(self, spectrum=None, reference_spectrums=None, similarity_functions=None):
        self.similarity_functions = similarity_functions
        self.reference_spectrums = reference_spectrums
        self.spectrum = spectrum
        self.score = None

    def calculate(self):
        f = self.similarity_functions[0]
        self.score = f(self.spectrum, self.reference_spectrums[0])


spectrum = [1346.36, 4.7, 2.3536, 0.84, 54.5, 41.41, 6.8, 5.0, 4.6, 7.8]
reference_spectrums = [[6.4, 79.4, 81.289, 0.1304, 95.087, 62.0, 5.875]]
similarity_functions = [simfun1(2.5)]
scores = Scores(spectrum=spectrum,
                reference_spectrums=reference_spectrums,
                similarity_functions=similarity_functions)

scores.calculate()
print(scores.score)

msmatchapiprop2.py

class Simfun1():
    # just some nonsense to demonstrate usage of a parameter 
    # when comparing 2 spectrums

    def __init__(self, factor=0.3):
        self.factor = factor

    def __call__(self, spectrum, reference_spectrum):
        print(spectrum)
        print(reference_spectrum)
        print(self.factor)
        return (max(spectrum) + max(reference_spectrum) ) * self.factor

class Scores:
    def __init__(self, spectrum=None, reference_spectrums=None, similarity_functions=None):
        self.similarity_functions = similarity_functions
        self.reference_spectrums = reference_spectrums
        self.spectrum = spectrum
        self.score = None

    def calculate(self):
        f = self.similarity_functions[0]
        self.score = f(self.spectrum, self.reference_spectrums[0])


spectrum = [1346.36, 4.7, 2.3536, 0.84, 54.5, 41.41, 6.8, 5.0, 4.6, 7.8]
reference_spectrums = [[6.4, 79.4, 81.289, 0.1304, 95.087, 62.0, 5.875]]
similarity_functions = [Simfun1(2.5)]
scores = Scores(spectrum=spectrum,
                reference_spectrums=reference_spectrums,
                similarity_functions=similarity_functions)

scores.calculate()
print(scores.score)