def __init__(self, *nchromos, tempo=0, max_len=None, tempo_range=None):
"""
>>> gene = NoteGene(1,1,1,1,1)
>>> chromosome = NoteChromosome(gene)
>>> song = GeneticSong(chromosome, max_len=3, tempo=8)
>>> song2 = GeneticSong(chromosome)
>>> song.mutation_chance
0
>>> song.crossover_chance
0
>>> song.score
0
>>> song.max_length
3
>>> song.tempo
8
"""
self._chromosome_dict = {nc.track_id:nc for nc in nchromos[:max_len]}
self._max_length = max_len
self.tempo_range = tempo_range
self.tempo = tempo
if tempo_range is not None:
self.tempo = to_range(self.tempo, tempo_range)
self.mutation_chance = 0
self.crossover_chance = 0
self.score = 0
self.diversity = 0
self._song_id = type(self)._song_count
type(self)._song_count += 1
def mutate(self, *delta_mask):
"""
>>> gene1 = NoteGene(1,1,1,1,1)
>>> gene2 = NoteGene(2,2,2,2,2)
>>> gene3 = NoteGene(3,3,3,3,3)
>>> gene4 = NoteGene(4,4,4,4,4)
>>> gene5 = NoteGene(5,5,5,5,5)
>>> gene6 = NoteGene(6,6,6,6,6)
>>> gene7 = NoteGene(7,7,7,7,7)
>>> gene8 = NoteGene(8,8,8,8,8)
>>> nc1 = NoteChromosome(gene1, gene2, track_id = 1)
>>> nc2 = NoteChromosome(gene3, gene4, track_id = 3)
>>> nc3 = NoteChromosome(gene5, track_id=0)
>>> nc4 = NoteChromosome(gene6, track_id=2)
>>> nc5 = NoteChromosome(gene7, track_id=4)
>>> nc6 = NoteChromosome(gene8, track_id=6)
>>> song1 = GeneticSong(nc1, nc2)
>>> song1.song_id = 1
>>> song2 = GeneticSong(nc3, nc4, nc5, nc6)
>>> song2.song_id = 19
>>> song1.mutate(0,2,2,2,2,2,1,1,1,1,1,0,0,0,0,0,-1,-1,-1,-1,-1)
>>> song1
1
0
1
None
[3, 3, 3, 3, 3]
[3, 3, 3, 3, 3]
<BLANKLINE>
3
None
[3, 3, 3, 3, 3]
[3, 3, 3, 3, 3]
>>> song2.song_id == 19
True
>>> song2.mutate(40,-2,-2,-2,-2,-2,-3,-3,-3,-3,-3,-4,-4,-4,-4,-4,-5,-5,-5,-5,-5)
>>> song2
19
40
0
None
[3, 3, 3, 3, 3]
<BLANKLINE>
2
None
[3, 3, 3, 3, 3]
<BLANKLINE>
4
None
[3, 3, 3, 3, 3]
<BLANKLINE>
6
None
[3, 3, 3, 3, 3]
>>> song2.mutate(1,1,1)
Traceback (most recent call last):
...
ValueError: Expecting delta mask of size 21, got 3
"""
if len(delta_mask) != (self.num_genes * 5 + 1):
raise ValueError("Expecting delta mask of size {}, got {}"
.format(self.num_genes * 5 + 1, len(delta_mask)))
self.tempo += delta_mask[0]
if self.tempo_range is not None:
self.tempo = to_range(self.tempo, self.tempo_range)
start_index = 1
for nc in self._chromosome_dict.values():
end_index = to_gene_index(len(nc)) + start_index
nc.mutate(*delta_mask[start_index:end_index])
start_index = end_index
