def create_player(param_dict):
if param_dict['type'] == 'perfect':
return perfect.Player()
if param_dict['type'] == 'random':
return random_player.Player()
if param_dict['type'] == 'dl0':
dl = dl0.DeepLearn()
dl.load_sess(param_dict['filename'])
ret = dlplayer.DLPlayer(dl)
ret.set_train_enable(False)
return ret
if param_dict['type'] == 'dl1':
dl = dl1.DeepLearn()
dl.load_sess(param_dict['filename'])
ret = dlplayer.DLPlayer(dl)
ret.set_train_enable(False)
return ret
if param_dict['type'] == 'dl5':
dl = dl5.DeepLearn()
dl.load_sess(param_dict['filename'])
ret = dl5.DLPlayer(dl)
ret.set_train_enable(False)
return ret
if param_dict['type'] == 'dl0006':
dl = deeplearn0006.DeepLearn()
dl.load_sess(param_dict['filename'])
ret = deeplearn0006.DLPlayer(dl)
ret.set_train_enable(False)
return ret
return None
def create_player(param_dict, arg_dict):
if param_dict['type'] == 'perfect':
return perfect.Player()
if param_dict['type'] == 'random':
return random_player.Player()
if param_dict['type'] == PKG_NAME:
dl = dlme.DeepLearn(arg_dict)
dl.load_sess(param_dict['filename'])
ret = dlme.DLPlayer(dl)
ret.set_train_enable(False)
return ret
return None
available_action_list = []
for action in ACTION_LIST:
if status.cell[action.x][action.y] == None:
available_action_list.append(action)
return random.choice(available_action_list)
def input_error(self):
raise Exception('IOULLYLL')
def turn_end(self, status):
pass
def close(self):
pass
if __name__ == '__main__':
game = tg.Game()
po = perfect.Player()
po.set_side(tl.Pid.O)
px = Player()
px.set_side(tl.Pid.X)
game.setPlayer(tl.Pid.O, po)
game.setPlayer(tl.Pid.X, px)
game.run(1000)
print(game.result())
