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