def test_mutate(self):
"""Test to trigger random lines in mutate"""
for seed in [18, 22]:
player = axl.EvolvableFSMPlayer(num_states=4,
mutation_probability=0.5,
seed=seed)
player.mutate()
def test_init(self):
transitions = [[0, C, 1, D], [0, D, 0, D], [1, C, 1, C], [1, D, 1, D]]
player = axl.EvolvableFSMPlayer(transitions=transitions,
initial_action=D,
initial_state=1)
self.assertEqual(player.num_states, 2)
self.assertEqual(player.fsm.transitions(), transitions)
self.assertEqual(player.initial_action, D)
self.assertEqual(player.initial_state, 1)
def test_vector_to_instance(self):
num_states = 4
vector = [random.random() for _ in range(num_states * 4 + 1)]
player = axelrod.EvolvableFSMPlayer(num_states=num_states)
player.receive_vector(vector)
self.assertIsInstance(player, axelrod.EvolvableFSMPlayer)
serialized = player.serialize_parameters()
deserialized_player = player.__class__.deserialize_parameters(serialized)
self.assertEqual(player, deserialized_player)
self.assertEqual(deserialized_player, deserialized_player.clone())
def test_atomic_mutation_fsm(self):
axelrod.seed(12)
players = [axelrod.EvolvableFSMPlayer(num_states=2, initial_state=1, initial_action=C)
for _ in range(5)]
mp = MoranProcess(players, turns=10, mutation_method="atomic")
population = mp.play()
self.assertEqual(
mp.winning_strategy_name,
'EvolvableFSMPlayer: ((0, C, 1, D), (0, D, 1, C), (1, C, 0, D), (1, D, 1, C)), 1, C, 2, 0.1')
self.assertEqual(len(mp.populations), 31)
self.assertTrue(mp.fixated)
def test_init(self):
transitions = [[0, C, 1, D], [0, D, 0, D], [1, C, 1, C], [1, D, 1, D]]
player = axl.EvolvableFSMPlayer(
transitions=transitions,
initial_action=D,
initial_state=1,
seed=1, # To prevent exception from unset seed.
)
self.assertEqual(player.num_states, 2)
self.assertEqual(player.fsm.transitions(), transitions)
self.assertEqual(player.initial_action, D)
self.assertEqual(player.initial_state, 1)
def test_atomic_mutation_fsm(self):
players = [
axl.EvolvableFSMPlayer(num_states=2,
initial_state=1,
initial_action=C,
seed=4) for _ in range(5)
]
mp = MoranProcess(players, turns=10, mutation_method="atomic", seed=12)
rounds = 10
for _ in range(rounds):
next(mp)
self.assertEqual(
list(sorted(mp.populations[-1].items()))[0][0],
'EvolvableFSMPlayer: ((0, C, 0, C), (0, D, 1, C), (1, C, 1, D), (1, D, 1, D)), 0, D, 2, 0.1, 2240802643'
)
self.assertEqual(len(mp.populations), 11)
self.assertFalse(mp.fixated)
def test_create_vector_bounds(self):
num_states = 4
player = axl.EvolvableFSMPlayer(num_states=num_states)
lb, ub = player.create_vector_bounds()
self.assertEqual(lb, [0] * (4 * num_states + 1))
self.assertEqual(ub, [1] * (4 * num_states + 1))
