def test_score_round(self):
azul = Azul()
state = azul.get_init_state()
state.players[0].set_wall(0, 3, Color.Black)
state.players[0].set_wall(1, 0, Color.White)
state.players[0].set_wall(1, 1, Color.Blue)
state.players[0].set_wall(1, 2, Color.Yellow)
state.players[0].set_queue(0, Color.White, 1) # Scores 2.
state.players[0].set_queue(1, Color.Red, 2) # Scores 6.
state.players[0].set_queue(2, Color.Black, 3) # Scores 2.
state.players[0].set_queue(3, Color.Red, 3) # Scores 0.
state.players[0].set_queue(4, Color.Blue, 5) # Scores 1.
state.players[0].floorCount = 3
state.players[1].set_wall_row(
3, [Color.Red, Color.Black, Color.Empty, Color.Blue, Color.Yellow])
state.players[1].set_wall_col(
2, [Color.Red, Color.Yellow, Color.Blue, Color.Empty, Color.Black])
state.players[1].set_queue(0, Color.Yellow, 1) # Scores 2.
state.players[1].set_queue(3, Color.White, 4) # Scores 10
state.players[1].floorCount = 1
state = azul.score_round(state)
self.assertEqual(state.players[0].score, 7)
self.assertEqual(state.players[1].score, 11)
self.assertEqual(state.players[0].queue[0:3], [[0, 0]] * 3)
self.assertEqual(state.players[0].queue[3], [int(Color.Red), 3])
self.assertEqual(state.players[0].queue[4], [0, 0])
self.assertEqual(
state.players[1].queue,
np.zeros_like(np.array(state.players[1].queue)).tolist())
self.assertEqual(state.players[0].floorCount, 0)
self.assertEqual(state.players[1].floorCount, 0)
class AzulCmd(cmd.Cmd):
prompt = '> '
def __init__(self):
# Init with defaults.
super().__init__()
self.history = [] # type: List[AzulState]
self.azul = Azul()
self.state = self.azul.get_init_state()
self.state = self.azul.deal_round(self.state)
self.botPlayerIndex = 0
# self.budget = 100000
self.budget = 1000
self.samplingWidth = 10
self.explorationWeight = 20
def preloop(self) -> None:
super().preloop()
Azul.print_state(self.state)
def postcmd(self, stop: bool, line: str) -> bool:
Azul.print_state(self.state)
return super().postcmd(stop, line)
def do_move(self, arg: str):
bits = list(map(lambda s: s.strip(), arg.strip().split(' ')))
# Parse the command.
try:
move = Move(int(bits[0]), Azul.str_to_color(bits[1]), int(bits[2]))
except ValueError:
print("# Invalid command")
return
self._apply_move(move)
def do_bot_move(self, arg: str):
bot = MctsBot(self.azul,
self.state,
samplingWidth=self.samplingWidth,
explorationWeight=self.explorationWeight)
move = bot.step_n(self.budget)
print(f"Bot's move: ")
print(
f"Take {Azul.color_to_str(move.color)} from bin {move.sourceBin} to queue {move.targetQueue}"
)
self._apply_move(move)
def _apply_move(self, move):
if self.azul.is_game_end(self.state):
print("The game is over, can't do moves.")
return
self.history.append(self.state)
# Apply the move.
try:
outcome = self.azul.apply_move_without_scoring(self.state, move)
self.state = outcome.state
if self.azul.is_round_end(self.state):
self.state = self.azul.score_round(self.state)
if not self.azul.is_game_end(self.state):
self.state = self.azul.deal_round(self.state)
else:
self.state = self.azul.score_game(self.state)
winnerIndex = int(self.state.players[0].score >
self.state.players[1].score)
humanIndex = 1 - self.botPlayerIndex
print(f"=== Game Over! ===")
print(
f"{'Human' if winnerIndex != self.botPlayerIndex else 'Bot'} player wins"
)
print(
f"Scores: Bot = {self.state.players[self.botPlayerIndex].score} "
f"Human = {self.state.players[humanIndex].score}")
except ValueError as e:
print(f"# {e}")
print("Undoing the move.")
self.state = self.history.pop()
def do_undo(self, arg: str):
if len(self.history) == 0:
print("# This is the first turn.")
return
print("# UNDO #")
self.state = self.history.pop()
def main():
gamesToPlay = 30
maxRoundsPerGame = 100
samplingWidth = 10
botClass = MctsBotCpp
# botClass = MctsBotPy
searchManager = GridSearchManager(defaultConfig={})
# searchManager.add_param_axis('mctsBudget', [100, 1000, 10000, 100000, 300000])
searchManager.add_param_axis('mctsBudget', [100, 1000, 10000])
# searchManager.add_param_axis('explorationWeight', [20, 30, 50])
searchManager.add_param_axis('explorationWeight', [20])
outDirPath = Path(
os.environ['DEV_OUT_PATH']
) / 'azul_bot' if 'DEV_OUT_PATH' in os.environ else Path.cwd()
outDirPath.mkdir(parents=True, exist_ok=True)
resultRows = []
for config, _, _ in searchManager.generate_configuration():
azul = Azul()
# players = [build_random_bot(), build_mcts_bot(mctsBudget)]
players = [
build_greedy_bot(),
MctsBotWrapper(config['mctsBudget'],
samplingWidth,
config['explorationWeight'],
botClass=botClass)
]
scores = []
timePerMove = []
timer = StageTimer()
for iGame in range(gamesToPlay):
timer.start_pass()
state = azul.get_init_state()
roundCount = 0
moveCount = 0
for _ in range(maxRoundsPerGame):
timer.start_stage('deal')
state = azul.deal_round(state)
while not azul.is_round_end(state):
timer.start_stage('decide')
move = players[state.nextPlayer](state)
timer.start_stage('move')
state = azul.apply_move_without_scoring(state, move).state
moveCount += 1 if state.nextPlayer == 1 else 0
timer.start_stage('score')
state = azul.score_round(state)
roundCount += 1
if azul.is_game_end(state):
state = azul.score_game(state)
break
timer.end_stage()
if azul.is_game_end(state):
timer.end_pass()
dur = timer.get_pass_duration()
scores.append([state.players[0].score, state.players[1].score])
timePerMove.append(timer.get_pass_timings()['decide'] /
moveCount)
print(
f"Finished a game with scores {state.players[0].score}:{state.players[1].score}"
f" in {roundCount} rounds and {dur:.2f} s.")
else:
print("Timed out playing a game.")
timer.end()
scoresArray = np.array(scores)
scoresAvg = scoresArray.mean(axis=0)
winsFirst = np.count_nonzero(scoresArray[:, 0] > scoresArray[:, 1])
winsSecond = np.count_nonzero(scoresArray[:, 0] < scoresArray[:, 1])
# Could be a draw.
for i in range(scoresArray.shape[0]):
resultRows.append({
'player': 'greedy',
'budget': 0,
'explorationWeight': 0,
'score': scoresArray[i, 0],
'isWin': scoresArray[i, 0] > scoresArray[i, 1]
})
resultRows.append({
'player': 'mcts',
'budget': config['mctsBudget'],
'explorationWeight': config['explorationWeight'],
'score': scoresArray[i, 1],
'isWin': scoresArray[i, 0] < scoresArray[i, 1]
})
print(timer.get_total_report())
print("Average scores: {:.1f} {:.1f}".format(*tuple(scoresAvg)))
print("Average time per move: {:.1f}".format(
np.mean(np.array(timePerMove))))
print("Wins: {} vs {}".format(winsFirst, winsSecond))
print("Plotting.")
resultTable = pd.DataFrame(resultRows)
print(resultTable)
# resultTable = resultTable[resultTable['player'] == 'mcts']
ax = sns.boxplot(x='budget',
y='score',
hue='explorationWeight',
data=resultTable)
date = datetime.now()
dateStr = date.strftime("%y%m%d-%H%M%S")
ax.get_figure().savefig(outDirPath / f'{dateStr}_scores.pdf')
plt.show()
resultTable.to_csv(outDirPath / f'{dateStr}_metrics.csv', sep='\t')
print("Done.")
def test_full_game(self):
# Test a full recorded game.
azul = Azul()
state = azul.get_init_state()
tilesPerRoundRaw = [
'RWYYRYUURRWWKKYYWWUR', 'WWUUUURKKKRUYKRUKYYU',
'URYKUWYYURYYKKURWWYK', 'RKKWUUWWRRKUUKWWWKRR',
'KYYRRYWKYYUWWWKRYRKU'
]
tilesPerRound = [
list(map(Azul.str_to_color, tiles)) for tiles in tilesPerRoundRaw
]
# Moves alternate between players 0 and 1 within a round.
# The game keeps track of which player goes first each round, we only specify the very first.
firstPlayer = 0
movesPerRoundRaw = [[
'3K1', '4W3', '0Y3', '2W3', '5R2', '5Y1', '5W0', '1R0', '5U4',
'5Y5'
],
[
'4Y3', '2K4', '0U4', '1U2', '3K0', '5Y0',
'5R1', '5K4', '5U2', '5W1'
],
[
'4K4', '2Y1', '5U2', '1Y2', '0K0', '3R0',
'5U1', '5Y2', '5K3', '5W4', '5R5'
],
[
'3W2', '1W4', '2R4', '5U3', '5K3', '0R5',
'5W2', '5K2', '4R1', '5K2', '5W0'
],
[
'2U1', '4U0', '3W2', '5R4', '5K3', '5Y2',
'5W2', '1R4', '5Y0', '5K1', '0K3', '5Y3',
'5R4', '5W5'
]]
movesPerRound = [
list(map(Move.from_str, moves)) for moves in movesPerRoundRaw
]
scoresPerRound = [[4, 3], [19, 5], [33, 16], [45, 37], [54, 55]]
finalScores = [70, 71]
# Simulate the game and check the score each round.
state.nextPlayer = firstPlayer
for iRound, (tiles, moves, scores) in enumerate(
zip(tilesPerRound, movesPerRound, scoresPerRound)):
state = azul.deal_round(state, tiles)
for move in moves:
state = azul.apply_move_without_scoring(state, move).state
self.assertTrue(azul.is_round_end(state))
state = azul.score_round(state)
self.assertEqual([p.score for p in state.players], scores)
state = azul.score_game(state)
self.assertEqual([p.score for p in state.players], finalScores)