def test_extended_game(self):
game = LandlordGame(players=[RandomPlayer(name='random')] * 3)
game.play_round()
game2 = copy(game)
self.assertTrue(game.get_move_logs() == game2.get_move_logs())
self.assertTrue(
game.get_hand(TurnPosition.SECOND) == game2.get_hand(
TurnPosition.SECOND))
self.assertTrue(game.get_last_played() == game2.get_last_played())
def play_game(self):
while True:
players = self.pick_players()
game = LandlordGame(players=players)
# play a meaningful game
game.play_round()
if game.has_winners():
players_to_record = game._winners
if random.random() < self.record_everyone_pct:
players_to_record = list(TurnPosition)
for pos in players_to_record:
player = game.get_ai(pos)
self.record_player(game, player)
self.track_stats(game)
break
# clear out in case a full game wasn't played
for player in players:
player._reset_records()
def test_full_game(self):
players = [LearningPlayer(name='random') for _ in range(3)]
game = LandlordGame(players=players)
game.play_round()
while np.sum(np.abs(game.get_scores())) == 0:
players = [LearningPlayer(name='random') for _ in range(3)]
game = LandlordGame(players=players)
game.play_round()
# game is over
for i in range(3):
# print(players[i].record_future_q[-1])
# self.assertTrue(np.abs(players[i].record_future_q[-1]) > 0.5)
features = players[i]._derive_features(game)
self.assertTrue(
np.sum(features[:, players[i].get_feature_index('I_AM_LANDLORD'
)]) != 0)
# it is possible this guy never plays, eventually
self.assertTrue(
np.sum(features[:, players[i].
get_feature_index('I_AM_BEFORE_LANDLORD')]) !=
0)
if __name__ == "__main__":
#players = [load_net('4_11_actualq4_model20'),
# load_net('4_11_actualq4_model20'),
# load_net('4_11_actualq4_model20')]
players = [
load_v2_net('4_13_stream2_model3_170', '../stream_models/'),
load_v2_net('4_13_stream2_model2_194', '../stream_models/'),
load_v2_net('4_13_stream2_model1_141', '../stream_models/')
]
while True:
game = LandlordGame(players=players)
game.play_round(debug=True)
if game.has_winners():
break
def printout_floats(array):
print(', '.join(["%.3f" % val for val in array]))
print('\n')
for i in range(3):
players[i].compute_future_q(game)
print(players[i].get_name())
printout_floats(players[i].get_estimated_qs())
printout_floats(players[i]._record_state_q)
print('\n')
print('')
def test_best_montecarlo(self):
players = [LearningPlayer(name='random')] * 3
game = LandlordGame(players=players)
game.play_round(debug=False)
def test_nobet_game(self):
game = LandlordGame(players=[NoBetPlayer(name='random')] * 3)
game.play_round()
self.assertTrue(np.sum(np.abs(game._scores)) == 0)
def test_many_games(self):
for i in range(10):
game = LandlordGame(players=[RandomPlayer(name='random')] * 3)
game.play_round()