§ &`ƒioãóz—ddlZddlmZddlZddlmZmZddlm Z m Z ddl m Z e Gd„de¦«¦«Z dS)éN)ÚOptional)Ú ExternalEnvÚ_ExternalEnvEpisode)Ú OldAPIStackÚoverride)ÚMultiAgentDictc ól—eZdZdZdejdejfd„Zd„Zee ¦« dde e d e d e fd „¦«Z ee ¦«de d ed efd „¦«Zee ¦«de d eded dfd„¦«Zee ¦« dde dededed df d„¦«Zee ¦«de d ed dfd„¦«ZdS)ÚExternalMultiAgentEnvz/This is the multi-agent version of ExternalEnv.Ú action_spaceÚobservation_spacecó¨—tj|||¦«t|jt¦«st|jt¦«r‡|j ¦«|j ¦«ksQtd |j ¦«|j ¦«¦«¦«‚dSdS)z¶Initializes an ExternalMultiAgentEnv instance. Args: action_space: Action space of the env. observation_space: Observation space of the env. z=Agent ids disagree for action space and obs space dict: {} {}N) rÚ__init__Ú isinstancer Údictr ÚkeysÚ ValueErrorÚformat)Úselfr r s úz/home/jaya/work/projects/VOICE-AGENT/VIET/agent-env/lib/python3.11/site-packages/ray/rllib/env/external_multi_agent_env.pyrzExternalMultiAgentEnv.__init__sÑ€õ Ô˜T <Ð1BÑCÔCÐCõ dÔ'­Ñ .Ô .ð µ*Ø Ô "¥Dñ3 ô3 ð ðÔ%×*Ò*Ñ,Ô,°Ô0F×0KÒ0KÑ0MÔ0MÒMÐMÝ ð(ß(.ªØÔ)×.Ò.Ñ0Ô0°$Ô2H×2MÒ2MÑ2OÔ2Oñ)ô)ñôððNÐMð ð ócó—t‚)a Override this to implement the multi-agent run loop. Your loop should continuously: 1. Call self.start_episode(episode_id) 2. Call self.get_action(episode_id, obs_dict) -or- self.log_action(episode_id, obs_dict, action_dict) 3. Call self.log_returns(episode_id, reward_dict) 4. Call self.end_episode(episode_id, obs_dict) 5. Wait if nothing to do. Multiple episodes may be started at the same time. )ÚNotImplementedError)rs rÚrunzExternalMultiAgentEnv.run(s €õ"Ð!rNTÚ episode_idÚtraining_enabledÚreturncó&—|€tj¦«j}||jvr"t d |¦«¦«‚||jvr"t d |¦«¦«‚t||j|d¬¦«|j|<|S)Nz!Episode {} has already completed.zEpisode {} is already startedT)Ú multiagent) ÚuuidÚuuid4ÚhexÚ _finishedrrÚ _episodesrÚ_results_avail_condition)rrrs rÚ start_episodez#ExternalMultiAgentEnv.start_episode8s€ð Ð Ýœ™œÔ)ˆJà ˜œÐ 'Ð 'ÝÐ@×GÒGÈ ÑSÔSÑTÔTÐ Tà ˜œÐ 'Ð 'ÝÐ<×CÒCÀJÑOÔOÑPÔPÐ På%8Ø ˜Ô5Ð7GÐTXð& ñ& ô& ˆŒzÑ"ðÐrÚobservation_dictcóV—| |¦«}| |¦«S)a‘Record an observation and get the on-policy action. Thereby, observation_dict is expected to contain the observation of all agents acting in this episode step. Args: episode_id: Episode id returned from start_episode(). observation_dict: Current environment observation. Returns: action: Action from the env action space. )Ú_getÚwait_for_action©rrr&Úepisodes rÚ get_actionz ExternalMultiAgentEnv.get_actionKs*€ð"—)’)˜JÑ'Ô'ˆØ×&Ò&Ð'7Ñ8Ô8Ð8rÚ action_dictcó\—| |¦«}| ||¦«dS)aRecord an observation and (off-policy) action taken. Args: episode_id: Episode id returned from start_episode(). observation_dict: Current environment observation. action_dict: Action for the observation. N)r(Ú log_action)rrr&r-r+s rr/z ExternalMultiAgentEnv.log_action_s2€ð—)’)˜JÑ'Ô'ˆØ×ÒÐ+¨[Ñ9Ô9Ð9Ð9Ð9rÚ reward_dictÚ info_dictÚmultiagent_done_dictcó—| |¦«}| ¦«D].\}}||jvr|j|xx|z cc<Œ$||j|<Œ/|r$| ¦«D]\}}||j|<Œ|r |pi|_dSdS)aRecord returns from the environment. The reward will be attributed to the previous action taken by the episode. Rewards accumulate until the next action. If no reward is logged before the next action, a reward of 0.0 is assumed. Args: episode_id: Episode id returned from start_episode(). reward_dict: Reward from the environment agents. info_dict: Optional info dict. multiagent_done_dict: Optional done dict for agents. N)r(ÚitemsÚcur_reward_dictÚ cur_done_dictÚ cur_info_dict) rrr0r1r2r+ÚagentÚrewÚdones rÚ log_returnsz!ExternalMultiAgentEnv.log_returnsqsÑ€ð*—)’)˜JÑ'Ô'ˆð&×+Ò+Ñ-Ô-ð 5ð 5‰JˆE3ؘÔ/Ð/Ð/ØÔ'¨Ð.Ð.Ô.°#Ñ5Ð.Ð.Ñ.Ð.à14Ô'¨Ñ.Ð.à ð 4Ø3×9Ò9Ñ;Ô;ð 4ð 4‘ tØ/3Ô% eÑ,Ð,à ð 4Ø$- O°ˆGÔ !Ð !Ð !ð 4ð 4rcó˜—| |¦«}|j |j¦«| |¦«dS)z¶Record the end of an episode. Args: episode_id: Episode id returned from start_episode(). observation_dict: Current environment observation. N)r(r"Úaddrr:r*s rÚ end_episodez!ExternalMultiAgentEnv.end_episode—sG€ð—)’)˜JÑ'Ô'ˆØ Œ×Ò˜7Ô-Ñ.Ô.Ð.Ø Š Ð%Ñ&Ô&Ð&Ð&Ð&r)NT)NN)Ú__name__Ú __module__Ú __qualname__Ú__doc__ÚgymÚSpacerrrrrÚstrÚboolr%rr,r/r;r>©rrr r sà€€€€€à9Ð9ðà”iððœ9ððððð2"ð"ð"ð €XˆkÑÔàIMððØ" 3œ-ðØBFðà ðððñÔðð$€XˆkÑÔð9Øð9Ø1?ð9à ð9ð9ð9ñÔð9ð&€XˆkÑÔð:àð:ð)ð:ð$ð :ð ð :ð:ð:ñÔð:ð"€XˆkÑÔð %)Ø/3ð #4ð#4àð#4ð$ð#4ð"ð #4ð -ð #4ð ð #4ð#4ð#4ñÔð#4ðJ€XˆkÑÔð ' cð '¸^ð 'ÐPTð 'ð 'ð 'ñÔð 'ð 'ð 'rr )rÚtypingrÚ gymnasiumrCÚray.rllib.env.external_envrrÚray.rllib.utils.annotationsrrÚray.rllib.utils.typingrr rGrrúrMs¸ðØ € € € ØÐÐÐÐÐàÐÐÐàGÐGÐGÐGÐGÐGÐGÐGØ=Ð=Ð=Ð=Ð=Ð=Ð=Ð=Ø1Ð1Ð1Ð1Ð1Ð1ð ðV'ðV'ðV'ðV'ðV'˜KñV'ôV'ñ „ðV'ðV'ðV'r