class_docstr: Abstract data loader.
class_docstr_tok: ["Abstract","data","loader","."]
code: def _get_utterance_and_slots_for_speaker(
      self, speaker, utterances, idx
  ):
      utts = []
      slots = {}
      while idx < len(utterances):
          here = utterances[idx]
          if here["speaker"] != speaker:
              break
          utts.append(here["text"])
          slots.update(
              self._parse_segment_to_slots(here.get("segments", []))
          )
          idx += 1
      return idx, "\n".join(utts), slots
  
imports: from parlai.core.params import ParlaiParser
  import os
  import pandas
  from parlai.core.opt import Opt
  import parlai.core.tod.tod_core
  from typing import Optional
  from parlai.utils.data import DatatypeHelper
  from parlai.utils.io import PathManager
  import parlai.tasks.taskmaster.build
  import parlai.core.tod.tod_agents
  from parlai.core.teachers import FixedDialogTeacher
  from .None import tm_utils
  import json
label_desc: Use image node_id 5 for calling the Taskmaster1Parser obj's underlying member method code with example usage: obj._get_utterance_and_slots_for_speaker(speaker, utterances, idx) and returns: idx,  str,  slots