Exemplo n.º 1
0
    def detect_all_collisions(player):
        all_collisions = {
            'BARRIER_KILLED': [],
            'MOVING_OBJECT_KILLED': [],
        }
        for enemy in Enemy.instances:
            all_collisions = merge_into_list_dict(
                all_collisions, get_collision(
                    barrier=enemy, moving_object=player, combat_collision=True
                )
            )

        return all_collisions
    def detect_all_collisions(player):
        # 1. Fetch all possiple collisions
        all_collisions = {
            'FLOOR': [],
            'CEILING': [],
            'LEFT_WALL': [],
            'RIGHT_WALL': [],
        }
        for barrier in Barrier.instances:
            all_collisions = merge_into_list_dict(
                all_collisions,
                get_collision(barrier=barrier, moving_object=player))

        # 2. Reduce all collisions to the relevant ones, example:
        #    all_collisions['FLOOR'] = [3.0, 4.2, 2.2, 4.0]
        #    -> relevant_collisions['FLOOR'] = 4.2
        return reduce_to_relevant_collisions(all_collisions)
Exemplo n.º 3
0
    def detect_all_collisions(moving_player):
        # 1. Fetch all possiple collisions
        all_collisions = {
            'FLOOR': [],
            'OBJECTS_ON_TOP': [],
            'OBJECTS_BELOW': [],
            'LEFT_WALL': [],
            'RIGHT_WALL': [],
        }

        for player in Player.instances:
            if player != moving_player:
                collision = get_collision(barrier=player,
                                          moving_object=moving_player,
                                          stacked_collision=True)
                all_collisions = merge_into_list_dict(all_collisions,
                                                      collision)

        # 2. Reduce all collisions to the relevant ones, example:
        #    all_collisions['FLOOR'] = [3.0, 4.2, 2.2, 4.0]
        #    -> relevant_collisions['FLOOR'] = 4.2
        return reduce_to_relevant_collisions(all_collisions)