code: def run(self):
      opt = self.opt
  
      world = self._setup_world()
      logger = TodWorldLogger(opt)
  
      # set up logging
      log_every_n_secs = opt.get("log_every_n_secs", -1)
      if log_every_n_secs <= 0:
          log_every_n_secs = float("inf")
      log_time = TimeLogger()
  
      # episode counter
      max_episodes = opt.get("num_episodes", -1)
      if max_episodes < 0:
          max_episodes = float("inf")
      world_num_episodes = world.num_episodes()
      if world_num_episodes > 0:
          max_episodes = min(max_episodes, world_num_episodes)
  
      ep_count = 0
      episode_metrics = []
      while not world.epoch_done() and ep_count < max_episodes:
          episode_metrics.extend(self._run_episode(opt, world, logger))
          ep_count += opt.get("batchsize", 1)
          if log_time.time() > log_every_n_secs:
              report = world.report()
              text, report = log_time.log(
                  ep_count, max_episodes, report
              )
              logging.info(text)
  
      return self._save_outputs(opt, world, logger, episode_metrics)
  
imports: import json
  from copy import deepcopy
  from shutil import copyfile
  import os
  import parlai.utils.logging
  import parlai.core.tod.tod_world
  import parlai.core.tod.tod_agents
  from parlai.core.agents import create_agent
  from parlai.core.metrics import dict_report, aggregate_unnamed_reports
  from parlai.core.opt import Opt
  from parlai.core.params import ParlaiParser
  from parlai.core.script import ParlaiScript, register_script
  from parlai.utils.distributed import is_primary_worker, all_gather_list, is_distributed, get_rank, sync_object, num_workers
  from parlai.utils.io import PathManager
  from parlai.utils.misc import TimeLogger, nice_report
  from parlai.utils.world_logging import WorldLogger
label_desc: Use image node_id 10 for calling the TodWorldScript obj's underlying member method code with example usage: obj.run() and returns: self