def observation()

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

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

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