def mutate_add_note(self):
"""Add a note in the same key to a random tatum"""
#print 'Adding Note'
scale = sound.get_key(self.notes)
tactus_index = random.randint(1, (len(self.notes)-1)/4)
tatum_index = tactus_index*4 - 1
if len(self.notes[tatum_index])>1:
return
note_index = random.randint(0, (len(scale)-1))
note = scale[note_index]
if len(self.notes[tatum_index])==0:
duration = 1
else:
duration = self.notes[tatum_index][0].duration
self.notes[tatum_index].append(notes.Note(0,48+note,duration))
def get_fitness (self):
notes = self.notes
original = self.orig_notes
notes_on_key = 0
note_density = 0
num_notes = 0
non_rest_tatums = 0
markov_score = 0
prob = []
key = sound.get_key(self.notes)
key_num = key[0]
isMinor = False
if key[2] == key[0]+3:
isMinor = True
prob = probdata.KP_MINOR_KEY_PROFILE_DATA
else:
prob = probdata.KP_MAJOR_KEY_PROFILE_DATA
prev = 0
for index, i in enumerate(self.notes):
if len(i)!=0:
note_val = sound.midival_note(i[0].midi_note)[0]
non_rest_tatums += 1
num_notes = num_notes+len(i)
for note in i:
if sound.midival_note(note.midi_note)[0] in key:
notes_on_key += 1
if index == 0:
prev = note_val
continue
prob_ind = relative_distance (prev, note_val)
#print prob_ind
markov_score = markov_score+prob[prob_ind]*1000
prev = note_val
markov_score = float(markov_score)/float(non_rest_tatums)
note_density = float(num_notes)/float(non_rest_tatums)
dense_penalty = note_density - 1.0
off_key_penalty = (1.0 - float(notes_on_key)/float(num_notes))*100
print markov_score/float(non_rest_tatums), dense_penalty, off_key_penalty
fitness = markov_score/float(non_rest_tatums)-dense_penalty-off_key_penalty
return fitness
