def make_world()

in multiagent/scenarios/simple_spread.py [0:0]

• 19 lines of code
• 5 McCabe index (conditional complexity)

    def make_world(self):
        world = World()
        # set any world properties first
        world.dim_c = 2
        num_agents = 3
        num_landmarks = 3
        world.collaborative = True
        # add agents
        world.agents = [Agent() for i in range(num_agents)]
        for i, agent in enumerate(world.agents):
            agent.name = 'agent %d' % i
            agent.collide = True
            agent.silent = True
            agent.size = 0.15
        # add landmarks
        world.landmarks = [Landmark() for i in range(num_landmarks)]
        for i, landmark in enumerate(world.landmarks):
            landmark.name = 'landmark %d' % i
            landmark.collide = False
            landmark.movable = False
        # make initial conditions
        self.reset_world(world)
        return world