class_docstr: Abstract data loader.
class_docstr_tok: ["Abstract","data","loader","."]
code: def _get_utterance_and_api_call_for_speaker(
      self, speaker, utterances, idx
  ):
      utts = []
      slots = {}
      while idx < len(utterances):
          here = utterances[idx]
          if here["speaker"] != speaker:
              break
          utts.append(here["text"])
          for act in utterances[idx]["dialogue_acts"]:
              if speaker == "agent" and not (
                  act.startswith("inform")
                  or act.startswith("multiple_choice")
              ):
                  continue
              if speaker == "user" and not (
                  act.startswith("inform") or act.startswith("request")
              ):
                  continue
              slots.update(
                  self._parse_dialogue_act(act, utterances[0]["domain"])
              )
          idx += 1
      return idx, "\n".join(utts), slots
  
imports: from parlai.core.params import ParlaiParser
  import copy
  import os
  import csv
  from collections import Counter
  from parlai.core.opt import Opt
  import parlai.core.tod.tod_core
  from parlai.utils.misc import warn_once
  from typing import Optional
  from parlai.utils.data import DatatypeHelper
  from parlai.utils.io import PathManager
  import parlai.tasks.msr_e2e.build
  import parlai.core.tod.tod_agents
label_desc: Use image node_id 5 for calling the MsrE2EParser obj's underlying member method code with example usage: obj._get_utterance_and_api_call_for_speaker(speaker, utterances, idx) and returns: idx,  str,  slots