def observation()

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

• 15 lines of code
• 6 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:
            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
        other_pos = []
        for other in world.agents:
            if other is agent: continue
            other_pos.append(other.state.p_pos - agent.state.p_pos)

        if not agent.adversary:
            return np.concatenate([agent.goal_a.state.p_pos - agent.state.p_pos] + entity_pos + other_pos)
        else:
            return np.concatenate(entity_pos + other_pos)