def init(self, artist):
self.markov = markov(open('./static/pitches/pitches_' + artist + '.txt'))
tmp_pitch = self.markov_pitch()
duration = [ 'whole', 'half', 'quarter', 'eighth', '16th']
indi_id = 0
generation = 0
for i in range(0, model.get_pop_size()):
tmp_pitch = self.markov_pitch()
dur = random.choice(duration)
for j in range(0, model.get_num_traits()):
self.create_trait(indi_id, generation, tmp_pitch[j], dur)
indi_id += 1
raise web.seeother('/fitness/0')
def crossover(self, p1, p2, point):
# get traits for each parent
p1t = self.to_list(model.get_indi_traits(p1))
p2t = self.to_list(model.get_indi_traits(p2))
split = random.randint(1, model.get_num_traits())
# create each child
c1 = p1t[:split] + p2t[split:]
c2 = p2t[:split] + p1t[split:]
# store children in database
tmp_id = int(model.get_max_indi_id()) + 1
tmp_gen = int(model.get_max_gen()) + 1
for i in c1:
model.insert_trait(tmp_id, tmp_gen, i[0], i[1])
for i in c2:
model.insert_trait(tmp_id + 1, tmp_gen, i[0], i[1])
return tmp_id
def markov_pitch(self):
return self.markov.generate_music(model.get_num_traits())
