def get_similar(self, candidates=None):
if self.rank < 0:
return self
if candidates is None:
candidates = [c for c in self.ranked if c.rank >= 0]
candidates = sorted(candidates, key=lambda c: c.rank)
index = candidates.index(self)
index = mutate_normal(index, maximum=len(candidates)-1)
return candidates[index]
def mutate(self):
if not hasattr(self, "mutate_attributes"):
return
for attribute in sorted(self.mutate_attributes):
if isinstance(self.mutate_attributes[attribute], type):
tob = self.mutate_attributes[attribute]
index = getattr(self, attribute)
tob = tob.get(index)
tob = tob.get_similar()
setattr(self, attribute, tob.index)
else:
minmax = self.mutate_attributes[attribute]
if type(minmax) is tuple:
minimum, maximum = minmax
else:
minimum, maximum = 0, 0xff
value = getattr(self, attribute)
if value < minimum or value > maximum:
continue
value = mutate_normal(value, minimum=minimum, maximum=maximum)
setattr(self, attribute, value)
