def observation()

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

• 15 lines of code
• 6 McCabe index (conditional complexity)

    def observation(self, agent, world):
        # goal color
        goal_color = [np.zeros(world.dim_color), np.zeros(world.dim_color)]
        if agent.goal_b is not None:
            goal_color[1] = agent.goal_b.color 

        # get positions of all entities in this agent's reference frame
        entity_pos = []
        for entity in world.landmarks:
            entity_pos.append(entity.state.p_pos - agent.state.p_pos)
        # entity colors
        entity_color = []
        for entity in world.landmarks:
            entity_color.append(entity.color)
        # communication of all other agents
        comm = []
        for other in world.agents:
            if other is agent: continue
            comm.append(other.state.c)
        return np.concatenate([agent.state.p_vel] + entity_pos + [goal_color[1]] + comm)