class_docstr: This module provides access to data in the TOD conversations format.
  
  See core/tod.py for more info about the format.
code: def setup_episodes(self, fold):
      result = []
      if self.opt["tod_metrics_datapath"] is not None:
          with open(
              self._get_right_file(self.opt["tod_metrics_datapath"])
          ) as f:
              report_data = json.load(f)
              tod_metrics = report_data["report"]["tod_metrics"]
  
      lines_to_process = []
      with open(self._get_right_file(self.opt["datafile"]), "r") as f:
          result = []
          for i, line in enumerate(f.readlines()):
              if (
                  self.opt["filter_all_goals_hit"]
                  and tod_metrics[i]["all_goals_hit"] < 0.5
              ):
                  continue
              if line:
                  lines_to_process.append(line)
  
      if self.opt["split_to_folds"]:
          lines_to_process = DatatypeHelper.split_data_by_fold(
              fold,
              lines_to_process,
              0.8,
              0.1,
              0.1,
              self.opt["split_folds_seed"],
          )
  
      for line in lines_to_process:
          processed = self._process_line(line)
          if processed is not None:
              result.append(processed)
      return result
  
imports: from typing import Optional
  from parlai.core.params import ParlaiParser
  from parlai.core.opt import Opt
  from parlai.utils.data import DatatypeHelper
  import parlai.core.tod.tod_agents
  import parlai.core.tod.tod_core
  import json
  import os
label_desc: Use image node_id 5 for calling the JsonTodParser obj's underlying member method code with example usage: obj.setup_episodes(fold) and returns: result