class Game(object):
def __init__(self, player1, player2):
self.player1 = player1
self.player2 = player2
self.board = RenjuBoard()
#初始化之后，就可以开始游戏了。
#外面去控制开始比赛
def do_play(self):
self.board.reset()
states, mcts_probs = [], []
while True:
player = self.player2
opponent = self.player1
debug_stone = '◯'
if self.board.get_current_player():
player = self.player1
opponent = self.player2
debug_stone = '●'
move, move_probs = player.get_action(self.board)
#TODO 注意，在游戏进行时，Game类负责将当前棋局传递给当前棋手。
# 棋手思考并得出结论，返回给Game；
# Game负责将棋子落在棋盘上，然后应该是发一个全局的通知。 （发布：订阅模型）
# 目前并没有这样做，只是通知落子的对方而已。
opponent.notice(self.board, move) #Game在落子之后，要通知对手。
#加入认输逻辑
if move is None:
end = True
winner = (
RenjuBoard.WHITE_WIN if self.board.get_current_player()
else RenjuBoard.BLACK_WIN) #认输了，对手赢了
print("player: ", debug_stone, " resigns.")
else:
# store the data
states.append(self.board.current_state())
mcts_probs.append(move_probs)
#print(move_probs)
# perform a move
self.board.do_move_by_number(move)
print("player: ", debug_stone)
self.board._debug_board()
#if len(states) >= 5:
end, winner = self.board.game_end()
if end:
total_moves = len(states)
if winner == RenjuBoard.DRAW:
winner_map = [0 for _i in range(total_moves)]
print("draw")
elif winner == RenjuBoard.WHITE_WIN:
winner_map = [(_i % 2) * 2 - 1
for _i in range(total_moves)]
print("WHITE_WIN")
else:
winner_map = [((_i + 1) % 2) * 2 - 1
for _i in range(total_moves)]
print("BLACK_WIN")
return winner, zip(states, mcts_probs, winner_map)
class Game(object):
def __init__(self, player1, player2):
self.player1 = player1
self.player2 = player2
self.board = RenjuBoard()
def do_play(self):
self.board.reset()
states, mcts_probs = [], []
while True:
player = self.player2
opponent = self.player1
debug_stone = '◯'
if self.board.get_current_player():
player = self.player1
opponent = self.player2
debug_stone = '●'
move, move_probs = player.get_action(self.board)
# notice the opponent
opponent.notice(self.board, move)
# Resign
if move is None:
end = True
winner = (RenjuBoard.WHITE_WIN
if self.board.get_current_player() else
RenjuBoard.BLACK_WIN)
# print ("player: ",debug_stone," resigns.")
else:
# store the data
states.append(self.board.current_state())
mcts_probs.append(move_probs)
# perform a move
self.board.do_move_by_number(move)
# open debug board which the game interface
# print ("player: ", debug_stone)
# self.board._debug_board()
end, winner = self.board.game_end()
if end:
self.board._debug_board()
total_moves = len(states)
if winner == RenjuBoard.DRAW:
winner_map = [0 for _i in range(total_moves)]
print("draw")
elif winner == RenjuBoard.WHITE_WIN:
winner_map = [(_i % 2) * 2 - 1
for _i in range(total_moves)]
print("WHITE_WIN")
else:
winner_map = [((_i + 1) % 2) * 2 - 1
for _i in range(total_moves)]
print("BLACK_WIN")
return winner, zip(states, mcts_probs, winner_map)
#输入一个特定局面， 顾问会给出它认为的好点
from renju import RenjuBoard
from players import MCTSPlayer
#from policy_value_net import PolicyValueNet
from policy_value_net_residual import PolicyValueNet
pv_net = PolicyValueNet('./master')
consultant = MCTSPlayer(pv_net.policy_value_fn,
c_puct=10,
n_playout=10000,
debug=True)
board = RenjuBoard()
while True:
board_str = input("What do you want?(e for exit)\n").strip()
if board_str == 'e' or board_str == '':
break
board.reset(board_str)
board._debug_board()
consultant.reset_player()
move, move_prob = consultant.get_action(board)
#如果认输，显示一下
if move is None:
print("got conclusion, resign")
board.do_move_by_number(move)
board._debug_board()