def mutate(genome):
atom_probability = ATOM_MUTATION_RATE / len(genome)
op_probability = OP_MUTATION_RATE / len(genome)
for i in range(len(genome)):
if piclang.is_atom(genome[i]):
if random.random() < atom_probability:
genome[i] = mutate_atom(genome[i])
else:
if random.random() < op_probability:
genome[i] = mutate_op(genome[i])
return genome
def create(cls, genome, generation, parents, store=False):
fun = piclang.stackparse(genome, normalize=True)
if piclang.is_atom(fun):
return None
image = piclang.render(fun, points=8192)
if not image:
return None
filename = files.blobstore.create(mime_type='image/png')
with files.open(filename, 'a') as f:
image.save(f, "PNG")
files.finalize(filename)
blob_key = files.blobstore.get_blob_key(filename)
individual = cls(genome=genome,
generation=generation,
parents=parents,
image=blob_key)
if store:
individual.put()
return individual
def create(cls, genome, generation, parents, store=False):
fun = piclang.stackparse(genome, normalize=True)
if piclang.is_atom(fun):
return None
image = piclang.render(fun, points=8192)
if not image:
return None
filename = files.blobstore.create(mime_type='image/png')
with files.open(filename, 'a') as f:
image.save(f, "PNG")
files.finalize(filename)
blob_key = files.blobstore.get_blob_key(filename)
individual = cls(
genome=genome,
generation=generation,
parents=parents,
image=blob_key
)
if store:
individual.put()
return individual
