def normalize()

in utils/function_normalizer.py [0:0]


    def normalize(self, f):
        f = np.asarray(f[0 : self.max_instructions])
        length = f.shape[0]
        if f.shape[0] < self.max_instructions:
            f = np.pad(f, (0, self.max_instructions - f.shape[0]), mode="constant")
        return f, length