Exemplo n.º 1
0
def black_tree():
    statemachine = state_machine.StateMachine()
    model = mock_model.MockModel()
    tree = azts_tree.AztsTree(model=model, \
            color=BLACK, \
            rollouts_per_move=10)
    return tree
Exemplo n.º 2
0
def new_player():
    model = mock_model.MockModel()
    config = utility.load_player_conf("Player/default_config.yaml")
    new_p = player.Player(color=BLACK, \
            model=model, \
            rollouts_per_move=10, \
            **(config.player.as_dictionary()))
    return new_p
Exemplo n.º 3
0
def rollout_node():
    model = mock_model.MockModel()
    # testing: model responds with all ones
    when(model).inference(...).thenReturn((np.ones(MOVE_TENSOR_SHAPE), 1))
    statemachine = state_machine.StateMachine()
    node = azts_node.AztsNode(statemachine, model)
    for i in range(10):
        node.rollout()
    return node
Exemplo n.º 4
0
def new_match():
    model = mock_model.MockModel()
    conf = utility.load_player_conf("Player/default_config")
    player_one = player.Player(model=model, \
            rollouts_per_move=10, \
            **(conf.player.as_dictionary()))
    player_two = player.Player(model=model, \
            rollouts_per_move=10, \
            **(conf.player.as_dictionary()))
    new_match = match.Match(player_one, player_two)
    return new_match
Exemplo n.º 5
0
def load_model(conf):
    '''
    load model from configuration
    :param Configuration conf: configuration
    of model
    '''
    model = None

    if conf.mock:
        model = mock_model.MockModel()
    elif conf.stockfish.enable:
        model = None
    else:
        #TODO: connect to mlflow here!
        model = AZero(conf)

    return model
Exemplo n.º 6
0
def set_up(color=WHITE):
    '''
    helper function to initialise all
    data structures
    :return tuple: containing a state machine,
    a model and an azts tree that has been
    initialised with that state machine and model.
    '''
    statemachine = state_machine.StateMachine()
    model = mock_model.MockModel()
    tree = AztsTree(statemachine=statemachine, \
                model=model, \
                color=color, \
                rollouts_per_move=200)

    np.set_printoptions(suppress=True, precision=3)

    return statemachine, model, tree
Exemplo n.º 7
0
def lose_node():
    model = mock_model.MockModel()
    statemachine = state_machine.StateMachine()
    statemachine.set_to_fen_state(WIN_STATE)
    node = azts_node.AztsNode(statemachine, model, WHITE)
    return node
Exemplo n.º 8
0
def stale_node():
    model = mock_model.MockModel()
    statemachine = state_machine.StateMachine()
    statemachine.set_to_fen_state(STALE_MATE)
    node = azts_node.AztsNode(statemachine, model, BLACK)
    return node
Exemplo n.º 9
0
def initial_node():
    model = mock_model.MockModel()
    statemachine = state_machine.StateMachine()
    node = azts_node.AztsNode(statemachine, model)
    return node
Exemplo n.º 10
0
    def receive_move(self, move):
        '''
        update own state machine and
        print feedback to player
        '''
        if self.color is not self.statemachine.get_player_color():
            print(f"> Other player played {move}")
        self.statemachine.actual_fen_move(move)

    # TODO: implement other getters and setters

    def game_over(self):
        return self.statemachine.actual_game_over()

    def get_stats(self):
        return None

    def dump_data(self):
        return [None, None, None]



if __name__ == "__main__":
    model = mock_model.MockModel()
    configuration = config.Config("Player/default_config.yaml")
    player = Player(model=model,
                    **(configuration.player.as_dictionary()))
    print(f"First move of white player is {player.make_move()}.")
    print(player.get_stats())
# pylint: enable=E0401