def adjust_for_precedence(self, weights):
prec = {pitch.pc(p):w for p,w in self.precedences.items()}
for k in weights.keys():
if k not in prec:
prec[k] = 1
for p in self.prev_picks:
pcp = pitch.pc(p)
if pcp in prec:
prec[pcp] *= 0.5
mult = {k: prec[pitch.pc(k)] for k in weights.keys()}
mult = w.scale(mult, float(self.precedence) / self.left_to_select)
return w.normalize(w.apply(mult, weights))
def normalize(self):
self.weighted_items = w.normalize(self.weighted_items)