def test_get_payoffs(self):
game = Game()
game.init_game()
while not game.is_over():
actions = game.get_legal_actions()
action = np.random.choice(actions)
state, _ = game.step(action)
payoffs = game.get_payoffs()
total = 0
for payoff in payoffs:
total += payoff
self.assertEqual(total, 0)
def test_get_payoffs(self):
game = Game()
game.init_game()
while not game.is_over():
actions = game.get_legal_actions()
action = np.random.choice(actions)
state, _ = game.step(action)
total_cards = len(state['hand']) + len(state['others_hand']) + len(
state['played_cards']) + len(game.round.dealer.deck)
self.assertEqual(total_cards, 108)
payoffs = game.get_payoffs()
total = 0
for payoff in payoffs:
total += payoff
self.assertEqual(total, 0)
class UnoEnv(Env):
def __init__(self, config):
self.game = Game()
super().__init__(config)
self.state_shape = [7, 4, 15]
def _load_model(self):
''' Load pretrained/rule model
Returns:
model (Model): A Model object
'''
return models.load('uno-rule-v1')
def _extract_state(self, state):
obs = np.zeros((7, 4, 15), dtype=int)
encode_hand(obs[:3], state['hand'])
encode_target(obs[3], state['target'])
encode_hand(obs[4:], state['others_hand'])
legal_action_id = self._get_legal_actions()
extracted_state = {'obs': obs, 'legal_actions': legal_action_id}
if self.allow_raw_data:
extracted_state['raw_obs'] = state
extracted_state['raw_legal_actions'] = [
a for a in state['legal_actions']
]
if self.record_action:
extracted_state['action_record'] = self.action_recorder
return extracted_state
def get_payoffs(self):
return self.game.get_payoffs()
def _decode_action(self, action_id):
legal_ids = self._get_legal_actions()
if action_id in legal_ids:
return ACTION_LIST[action_id]
#if (len(self.game.dealer.deck) + len(self.game.round.played_cards)) > 17:
# return ACTION_LIST[60]
return ACTION_LIST[np.random.choice(legal_ids)]
def _get_legal_actions(self):
legal_actions = self.game.get_legal_actions()
legal_ids = [ACTION_SPACE[action] for action in legal_actions]
return legal_ids