def nextstate(self, board, player, action):
if action == self.gbsize * self.gbsize:
return board, -player
b = Phan(self.gbsize, self.win_standard)
b.board = np.copy(board)
move = (int(action / self.gbsize), action % self.gbsize)
b.moving(move, player)
return b.board, -player
def ggeutnam(self, board, player):
b = Phan(self.gbsize, self.win_standard)
b.board = np.copy(board)
if b.iswin(player):
return 1
if b.iswin(-player):
return -1
if b.ganeung_soo():
return 0
return 1e-4
def nextstate(self, board, new_board, player, action):
if action == self.gbsize * self.gbsize:
return board, -player
b = Phan(self.gbsize, self.win_standard)
b.board = np.copy(board)
b.new_board = np.copy(new_board)
move = (int(action / self.gbsize), action % self.gbsize)
b.moving(move, player)
b.dim_moving(move, player)
b.new_board[2] = self.oneminusone(np.copy(b.board), -player)
return b.board, -player, b.new_board
def validmove(self, board, player):
valids = [0] * self.actionsize()
b = Phan(self.gbsize, self.win_standard)
b.board = np.copy(board)
dun_soo = b.dun_soo()
if len(dun_soo) == 0:
valids[-1] = 1
return np.array(valids)
for x, y in dun_soo:
valids[self.gbsize * x + y] = 1
return np.array(valids)
def Run():
try:
b = Phan(13, 5)
board = Omokgame.startphan()
b.board = np.copy(board)
display = visual(13, 5)
display.prepare_display()
f = fight(13, 5)
human_move = f.Act(b.board)
best_model = nn.loading("folder", "model1")
best_mcts = mcts(Omokgame(13, 5), best_model)
except KeyboardInterrupt:
print("error")
def Act(self, board):
try:
where = input("move, ex(3,7)")
b = Phan(self.gbsize, self.win_standard)
b.board = np.copy(board)
b.moving(where, self.human)
board = np.copy(b.board)
except Exception as e:
move = -1
if move == -1 or move not in Omokgame(
self.gbsize, self.win_standard).validmove(board, self.human):
print("Impossible move, retry")
move = self.Act(board)
return move