def GameStartS0():
# Start Game with S0 1 3 5 7
board_array = np.array([" "] * 10)
board_array[2] = "O"
board_array[3] = "X"
board_array[7] = "X"
board_array[5] = "O"
myBoard = Board(board=board_array)
current_node = Node(
GameState2(moves=[3, 2, 7, 5], board=myBoard, turn=4, next_turn="a"))
uctClass = UCTSEARCH(100, current_node)
current_node = uctClass.getCurrent_Node()
#logger = get_module_logger(__name__)
mylogger.debug("Num Children: %d", len(current_node.children))
for i, c in enumerate(current_node.children):
mylogger.debug("%d, %s", i, c)
mylogger.debug("Best Child: %s", current_node.state)
mylogger.debug("--------------------------------")
G = current_node.getGraph()
nx.draw_networkx(G)
plt.show()
def GameStartS0():
# Start Game with S0 1 3 5 7
board_array = np.array([" "] * 10)
board_array[2] = "O"
board_array[3] = "X"
board_array[7] = "X"
board_array[5] = "O"
myBoard = Board(board=board_array)
current_node = Node(
GameState2(moves=[3, 2, 7, 5],
board=myBoard,
turn=4,
next_turn=0,
test=True))
uctClass = UCTSEARCH(10, current_node)
current_node = uctClass.getCurrent_Node()
print("Num Children: %d" % len(current_node.children))
for i, c in enumerate(current_node.children):
print(i, c)
print("Best Child: %s" % current_node.state)
print("--------------------------------")
def aiPlayerAction(self):
board_array = self.board
myBoard = Board(board=board_array)
current_node = Node(GameState2(moves=self.moves, board=myBoard,turn=self.turn, next_turn="a"))
for l in range(9 - self.turn):
uctClass = UCTSEARCH(500/(l+1),current_node)
current_node = uctClass.getCurrent_Node()
#print("Num Children: %d"%len(current_node.children))
#for i,c in enumerate(current_node.children):
# print(i,c)
#print("Best Child: %s"%current_node.state)
#print("--------------------------------")
best_state = current_node.state
move = best_state.moves[ self.turn ]
self.turn += 1
self.moves.append(move)
piece = self.aiPlayer.piece
self.makeMove(move,piece)
# show board....
#print(self)
if isWin(self.board,piece):
print("AI WIN....")
return 1
return 0
def GameStart():
current_node = Node(
GameState2(moves=[], board=Board(), turn=0, next_turn=0, test=True))
uctClass = UCTSEARCH(10, current_node)
current_node = uctClass.getCurrent_Node()
print("Num Children: %d" % len(current_node.children))
for i, c in enumerate(current_node.children):
print(i, c)
print("Best Child: %s" % current_node.state)
print("--------------------------------")
def GameStart():
current_node = Node(
GameState2(moves=[], board=Board(), turn=0, next_turn="a"))
uctClass = UCTSEARCH(5, current_node)
current_node = uctClass.getCurrent_Node()
mylogger.debug("Num Children: %d", len(current_node.children))
for i, c in enumerate(current_node.children):
mylogger.debug(i, c)
mylogger.debug("Best Child: %s", current_node.state)
mylogger.debug("--------------------------------")
G = current_node.getGraph()
nx.draw_networkx(G)
plt.show()
def ssmain():
current_node = Node(GameState2(moves=[], board=Board(),turn=0, next_turn=0,test=True))
num_sims = 10
for l in range(10):
print("### level %d ###", l)
uctClass = UCTSEARCH(num_sims/(l+1),current_node)
current_node=uctClass.getCurrent_Node()
print("Num Children: %d"%len(current_node.children))
for i,c in enumerate(current_node.children):
print(i,c)
print("Best Child: %s"%current_node.state)
print("--------------------------------")
def main():
current_node = Node(GameState2(moves=[], board=Board(),turn=0, next_turn=0,test=True))
uctClass = UCTSEARCH(2,current_node)
current_node = uctClass.getCurrent_Node()