class EvoLife6DExperiment(RegularExperiment):
"""
Generic experiment for 6D EvoLife: 2 spatial, 4 micro-dimensions.
WARNING: to run this model you need at least 9GB GPU RAM free.
"""
word = "SP1RALS 1N HYPERSP@CE"
size = (640, 380, 7, 5, 3, 3)
pos = [50, 50, 0, 0, 0, 0]
death_speed = 64
max_genes = 13
mutation_prob = 0.0001
fade_in = 63
fade_out = 18
mask_random = RandInt(0, 2 ** 26 - 1, constant=True)
seed_bang = seeds.patterns.BigBang(
pos=(0, 0, 0, 0, 0, 0),
size=(100, 100, 1, 1, 1, 1),
vals={
"energy": RandInt(0, 1) * 255,
"rule": RandInt(0, 2 ** 26 - 1) & mask_random,
"rng": RandInt(0, 2 ** 16 - 1)
}
)
seed_rng = seeds.patterns.PrimordialSoup(
vals={
"rng": RandInt(0, 2 ** 16 - 1)
}
)
seed = seed_rng + seed_bang
class CrossbreedingExperiment(RegularExperiment):
"""Classic experiment for legacy EvoLife, where 'Bliambas' may form."""
word = "FUTURE BREEDING MACHINE 2041"
size = (1920, 1080)
zoom = 1
fade_in = 18
fade_out = 3
seed_diamoeba = seeds.patterns.BigBang(
pos=(380, 280),
size=(440, 340),
vals={
"energy": 0,
"rule": LifeLike.golly2int("B35678/S5678") * RandInt(0, 1),
"rng": RandInt(0, 2 ** 16 - 1)
}
)
seed_conway = seeds.patterns.BigBang(
pos=(0, 0),
size=(1280, 720),
vals={
"energy": 0,
# you may use unary operators
"rule": +RandInt(0, 1) * LifeLike.golly2int("B3/S23"),
# as well as reflected expressions
"rng": 0 + RandInt(0, 2 ** 16 - 1)
}
)
seed_rng = seeds.patterns.PrimordialSoup(
vals={
"rng": RandInt(0, 2 ** 16 - 1)
}
)
# chain ordering matters, since areas are rewriting each other in order
seed = seed_rng + seed_conway + seed_diamoeba
class BigBangExperiment4D(RegularExperiment):
"""Experiment in 4D space."""
size = (640, 360, 3, 3)
death_speed = 1
full_treshold = 16
max_genes = 5
fade_in = 1
fade_out = 1
smooth_ratio = 10
rule_back = LifeLike.golly2int("B12/S124")
seed = seeds.patterns.PrimordialSoup(
vals={
"energy": 2,
"new_energy": 2,
"rule": rule_back,
"rng": RandInt(0, 2**16 - 1),
})
for i in range(6 * 3):
add_rule = str(random.randint(4, 4)).replace("2", "")
rule_area = LifeLike.golly2int("B12/S12" + add_rule)
seed += seeds.patterns.BigBang(pos=(30 + (i % 6) * 100,
40 + (i // 6) * 100, 0, 0),
size=(80, 80, 1, 1),
vals={
"energy": 1 * 273 * RandInt(0, 1),
"new_energy":
1 * 273 * RandInt(0, 1),
"rule": rule_area,
"rng": RandInt(0, 2**16 - 1),
})
class BigBangExperiment(RegularExperiment):
"""Experiment, with smaller field, for quicker benchmark."""
death_speed = 1
full_treshold = 16
max_genes = 13
fade_in = 255
fade_out = 255
smooth_ratio = 1
rule_mask = LifeLike.golly2int("B12345678/S12345678")
seed = seeds.patterns.PrimordialSoup(
vals={
"energy": 0,
"new_energy": 0,
"rule": random.randint(0, 2**18 - 1) & rule_mask,
"rng": RandInt(0, 2**16 - 1),
})
for i in range(6 * 3):
seed += seeds.patterns.BigBang(
pos=(30 + (i % 6) * 100, 40 + (i // 6) * 100),
size=(80, 80),
vals={
"energy": 16 * RandInt(0, 1),
"new_energy": 16 * RandInt(0, 1),
"rule": random.randint(0, 2**18 - 1) & rule_mask,
"rng": RandInt(0, 2**16 - 1),
})
def test_interval(self):
"""Test generated values are in valid range."""
holder = RandomHolder()
holder.__class__.rand_val = RandInt(11, 23)
for _ in range(10):
self.assertGreaterEqual(holder.rand_val, 11, "Wrong random value.")
self.assertLessEqual(holder.rand_val, 23, "Wrong random value.")
def test_seed(self):
"""Test correct sequence in generated with a seed."""
holder = RandomHolder(TEST_SEED)
holder.__class__.rand_val = RandInt(11, 23)
sequence_valid = [22, 15, 21, 23, 14, 14, 11, 20, 17, 23]
sequence_generated = [holder.rand_val for i in range(10)]
self.assertListEqual(sequence_valid, sequence_generated,
"Wrong sequence for seed '%s'." % TEST_SEED)
def test_multiple_values(self):
"""Test multiple values storing."""
val_dict = ValDict({'a': 2, 's': RandInt(11, 23), 'd': 3.3})
self.assertEqual(val_dict['a'], 2, "Wrong first constant value.")
for _ in range(10):
self.assertGreaterEqual(val_dict['s'], 11, "Wrong random value.")
self.assertLessEqual(val_dict['s'], 23, "Wrong random value.")
self.assertEqual(val_dict['d'], 3.3, "Wrong second constant value.")
def test_random_full(self):
"""Test omitted size and position behavior."""
bsca = GameOfLife(TestExperiment)
vals = {'state': RandInt(0, 1)}
pattern = BigBang(vals=vals)
cells = np.zeros((10000, ), dtype=np.int32)
pattern.generate(cells, bsca)
self.assertGreater(np.sum(cells), 0, "Empty board.")
def test_items(self):
"""Test iteration over items."""
val_dict = ValDict({'a': 2, 's': RandInt(11, 23), 'd': 3.3})
for key, val in val_dict.items():
if key == 'a':
self.assertEqual(val, 2, "Wrong constant value.")
elif key == 's':
self.assertGreaterEqual(val, 11, "Wrong random value.")
self.assertLessEqual(val, 23, "Wrong random value.")
def test_multiple_dicts(self):
"""Test different dicts keeping different values."""
val_dict1 = ValDict({'s': 2})
val_dict2 = ValDict({'s': RandInt(11, 23)})
self.assertEqual(val_dict1['s'], 2, "Wrong first ValDict.")
for _ in range(10):
self.assertGreaterEqual(val_dict2['s'], 11,
"Wrong second ValDict.")
self.assertLessEqual(val_dict2['s'], 23, "Wrong second ValDict.")
def test_wrong_pos(self):
"""Test position auto-correction to make area fit to field."""
bsca = GameOfLife(TestExperiment)
vals = {'state': RandInt(0, 1)}
pattern = BigBang(pos=(90, 90), size=(20, 20), vals=vals)
cells = np.zeros((10000, ), dtype=np.int32)
pattern.generate(cells, bsca)
self.assertEqual(pattern.pos[0], 80, "Wrong X position.")
self.assertEqual(pattern.pos[1], 80, "Wrong Y position.")
def test_2d(self):
"""Test same field is generated with same seed."""
bsca = GameOfLife(TestExperiment)
vals = {'state': RandInt(0, 1)}
seed = PrimordialSoup(vals=vals)
cells = np.zeros((10000, ), dtype=np.int32)
seed.random = LocalRandom("test")
seed.generate(cells, bsca)
self.assertEqual(binascii.crc32(cells[:10000]), 1648433356,
"Wrong field checksum.")
class BigBangExperiment(RegularExperiment):
"""Experiment, with smaller field, for quicker benchmark."""
death_speed = 0
max_genes = 9
seed_bang = seeds.patterns.BigBang(
pos=(0, 0),
size=(100, 100),
vals={
"energy": RandInt(0, 255),
"rule": RandInt(0, 2 ** 18 - 1) & 0b111111110111111110,
"rng": RandInt(0, 2 ** 16 - 1)
}
)
seed_rng = seeds.patterns.PrimordialSoup(
vals={
"rng": RandInt(0, 2 ** 16 - 1)
}
)
seed = seed_rng + seed_bang
class TestExperiment(GOLExperiment):
"""Regular experiment for tests."""
size = (
100,
100,
)
seed = BigBang(pos=(32, 20),
size=(10, 10),
vals={
"state": RandInt(0, 1),
})
def test_random_value(self):
"""Test random value storing."""
val_dict = ValDict({'s': RandInt(11, 23)})
for _ in range(10):
self.assertGreaterEqual(val_dict['s'], 11, "Wrong random value.")
self.assertLessEqual(val_dict['s'], 23, "Wrong random value.")
class NoiseTVExperiment(RegularExperiment):
"""Default experiment filling the whole board with a noise."""
word = "PSHSHSHSH!"
seed = seeds.patterns.PrimordialSoup(vals={"rng": RandInt(0, 2**16 - 1)})
