Exemple #1
0
class GameScreen:
    def __init__(self):
        self.game = Game(0, 0)

    def draw(self, window):
        window.fill((255, 255, 255))
        self.game.draw(window)

    def update(self, events):
        self.game.update(events)

    @staticmethod
    def screen_loop(window, highscore_handler):
        global SCORE
        screen = GameScreen()
        while True:
            events = pg.event.get()
            for event in events:
                if event.type == pg.QUIT or (event.type == pg.KEYDOWN
                                             and event.key == pg.K_ESCAPE):
                    option = PausePopup.popup_loop(window)
                    if option != States.RETURN:
                        return option
            if screen.game.lost():
                screen.game.snake.move()
                SCORE = screen.game.score
                highscore_handler.add_highscore(SCORE)
                return RetryPopup.popup_loop(window)
            screen.update(events)
            screen.draw(window)
            pg.display.update()
Exemple #2
0
class PacmanEnv(gym.Env):
    """
    Reinforcement Learning Environment wrapper for the game.
    It encapsulates an environment with arbitrary behind-the-scenes dynamics.
    An environment can be partially or fully observed.

    The main API methods that users of this class need to know are:

        step
        reset
        render
        close
        seed

    Its extends the gym.Env class
    """
    metadata = {
        'render.modes': ['human', 'rgb_array'],
        'video.frames_per_second': 30
    }
    reward_range = (-10, 5)

    def __init__(self,
                 layout: str,
                 enable_render=True,
                 state_active=False,
                 player_lives: int = 3):
        """
        PacmanEnv constructor

        :param layout: the layout of the game
        :param frame_to_skip: the frame to skip during training
        :param enable_render: enabling the display of the game screen
        :param state_active: enabling the display of the state matrix
        """
        self.layout = layout
        self.state_active = state_active
        self.enable_render = enable_render
        if enable_render:
            pg.init()
        self.action_space = spaces.Discrete(Action.__len__())
        self.maze = Map(layout)
        self.width, self.height = self.maze.get_map_sizes()
        self.game = Game(
            maze=self.maze,
            screen=Controller.get_screen(state_active, self.width, self.height)
            if enable_render else None,
            sounds_active=False,
            state_active=state_active,
            agent=None)
        self.timer = 0
        self.reinit_game = False
        self.player_lives = player_lives

        self.observation_space = spaces.Space(
            shape=self.get_screen_rgb_array().shape, dtype=int)

        self.seed()

    def __del__(self):
        if self.enable_render:
            pg.quit()

    def seed(self, seed=None):
        """
        Sets the seed for this env's random number generator(s).

        :param seed:
        :return:
        """
        _, seed = seeding.np_random(seed)
        return [seed]

    def reset(self, mode='human'):
        """
        Reset and Restart the Pacman Environment
        """
        self.game.maze.reinit_map()
        self.game.restart()
        self.game.player.regenerate()
        self.game.score = 0
        self.game.mode_timer = 0
        self.game.ghosts_timer = 0
        self.game.set_mode(GameMode.normal)
        self.game.make_ghosts_normal()
        self.game.player.lives = self.player_lives
        if mode == 'human':
            return self.get_state_matrix()
        elif mode == 'rgb_array':
            return self.get_screen_rgb_array()
        elif mode == 'info':
            return self.get_info_dict()

    def render(self, mode='human'):
        """
        Renders the environment.

        The set of supported modes varies per environment. (And some
        environments do not support rendering at all.) By convention,
        if mode is:

        - human: render to the current display or terminal and
          return nothing. Usually for human consumption.
        - rgb_array: Return an numpy.ndarray with shape (x, y, 3),
          representing RGB values for an x-by-y pixel image, suitable
          for turning into a video.

        :param mode: the mode to render
        :return: the rba_array if the anonymous mode is active
        """
        if mode == 'human':
            if self.enable_render:
                self.game.init_screen()
                self.game.draw()
                pg.display.flip()
        elif mode == 'rgb_array':
            return self.get_screen_rgb_array()

    def close(self):
        self.__del__()

    def step(self, action: Union[Action, int]):
        """
        Run one timestep of the environment's dynamics. When end of
        episode is reached, you are responsible for calling `reset()`
        to reset this environment's state.

        Accepts an action and returns a tuple (observation, reward, done, info).

        :param action: action to perform in the environment
        :return: a tuple containing the following: observation, reward, done, info
        """
        action = Action(int(action)) if type(action) is int else action
        rewards = self._one_step_action(action)
        done = self.get_mode() == GameMode.game_over or self.get_mode(
        ) == GameMode.black_screen
        obs = self.get_screen_rgb_array()
        info = self.get_info_dict()
        return obs, rewards, done, info

    def get_info_dict(self) -> Dict[str, Any]:
        ghosts_pixel_pos = [
            ghost.get_pixel_position() for ghost in self.game.ghosts
        ]
        number_of_scared_ghosts = sum(
            [ghost.is_vulnerable() for ghost in self.game.ghosts])
        info = {
            'win': self.get_mode() == GameMode.black_screen,
            'player position': self.get_player_position(),
            'player pixel position': self.get_player_pixel_position(),
            'player lives': self.game.player.lives,
            'game mode': self.get_mode().value,
            'game score': self.game.score,
            'number of scared ghosts': number_of_scared_ghosts,
            'state matrix': self.get_state_matrix(),
            'ghosts_pixel_pos': ghosts_pixel_pos,
            'player vel': self.game.player.get_vel(),
            'player action': self.game.player.current_action
        }
        return info

    def _one_step_action(self, action: Union[Action, int]) -> int:
        """
        Performs only one step of the given action in the environment

        :param action: action to perform
        :return: the reward obtained after performing the action
        """
        self.check_game_mode()

        if self.get_mode() is GameMode.game_over:
            return 0
        elif self.get_mode() is GameMode.black_screen:
            return 0
        elif self.reinit_game:
            self.reinit_game = False
            return 0

        prev_reward = self.game.total_rewards

        self.game.player.change_player_vel(action, self.game)
        self.game.move_players()

        succ_reward = self.game.total_rewards

        return succ_reward - prev_reward

    def get_mode(self) -> GameMode:
        """

        :return: the current mode of the Game, is an instance of the Enum GameMode
        """
        return self.game.game_mode

    def get_state_matrix(self) -> np.ndarray:
        return self.maze.state_matrix

    def get_player_position(self) -> Tuple[int, int]:
        """

        :return: a tuple containing respectively the x and y coordinate
                int the grid
        """
        return self.game.player.nearest_col, self.game.player.nearest_row

    def get_player_pixel_position(self) -> Tuple[int, int]:
        """

        :return: a tuple containing respectively the x and y pixel position in the
                game
        """
        return self.game.player.x, self.game.player.y

    def check_game_mode(self):
        mode = self.get_mode()

        if self.maze.get_number_of_pellets() == 0:
            self.game.set_mode(GameMode.black_screen)
            return

        if mode is GameMode.hit_ghost:
            self.game.player.lives -= 1
            if self.game.player.lives == 0:
                self.game.set_mode(GameMode.game_over)
            else:
                self.game.init_players_in_map()
                self.game.make_ghosts_normal()
                self.game.set_mode(GameMode.normal)
                self.reinit_game = True
        elif mode == GameMode.wait_after_eating_ghost:

            self.game.move_ghosts()

            if self.maze.get_number_of_pellets() == 0:
                self.game.set_mode(GameMode.black_screen)
            elif self.game.are_all_ghosts_vulnerable():
                self.game.set_mode(GameMode.change_ghosts)
            elif self.game.are_all_ghosts_normal():
                self.game.set_mode(GameMode.normal)

        self.game.check_ghosts_state()

    def get_screen_rgb_array(self):
        screen = self.game.screen.copy()
        return pg.surfarray.pixels3d(screen)