def test_create_vector_bounds(self):
plays, op_plays, op_start_plays = 1, 1, 1
player = axl.EvolvableGambler(parameters=(plays, op_plays,
op_start_plays))
lb, ub = player.create_vector_bounds()
self.assertIsInstance(lb, list)
self.assertIsInstance(ub, list)
self.assertEqual(len(lb), 8)
self.assertEqual(len(ub), 8)
def test_vector_to_instance(self):
plays, op_plays, op_start_plays = 1, 1, 1
player = axl.EvolvableGambler(parameters=(plays, op_plays,
op_start_plays))
vector = [random.random() for _ in range(8)]
player.receive_vector(vector)
keys = create_lookup_table_keys(player_depth=plays,
op_depth=op_plays,
op_openings_depth=op_start_plays)
action_dict = dict(zip(keys, vector))
self.assertEqual(player._lookup.dictionary, action_dict)
def test_receive_vector(self):
plays, op_plays, op_start_plays = 1, 1, 1
player = axl.EvolvableGambler(parameters=(plays, op_plays,
op_start_plays))
self.assertRaises(AttributeError,
axl.EvolvableGambler.__getattribute__,
*[player, 'vector'])
vector = [random.random() for _ in range(8)]
player.receive_vector(vector)
self.assertEqual(player.pattern, vector)
def test_mutate_value_bounds(self):
player = axl.EvolvableGambler(parameters=(1, 1, 1), seed=0)
self.assertEqual(player.mutate_value(2), 1)
self.assertEqual(player.mutate_value(-2), 0)
