code: def _regression(
      self, data_regression: DataRegressionFixture, datatype: str
  ):
      import random
      from parlai.core.worlds import create_task
      from parlai.core.params import ParlaiParser
  
      basename = f"{self.task}_{datatype}".replace(":", "_")
  
      if self.stream:
          datatype = datatype + ":stream"
      if datatype == "train:stream":
          datatype = datatype + ":ordered"
  
      random.seed(42)
  
      opt = ParlaiParser(True, True).parse_kwargs(
          model="fixed_response",
          fixed_response="none",
          task=self.task,
          datatype=datatype,
          batchsize=1,
      )
  
      world = create_task(opt, [])
      acts = []
      for _ in range(5):
          world.parley()
          act = self._safe(world.get_acts())
          acts.append(act)
  
      teacher = world.get_task_agent()
      output = {
          "acts": acts,
          "num_episodes": teacher.num_episodes(),
          "num_examples": teacher.num_examples(),
      }
      data_regression.check(output, basename=basename)
  
imports: import os
  import unittest
  import contextlib
  import tempfile
  import shutil
  import io
  import signal
  from typing import Tuple, Dict, Any
  from parlai.core.opt import Opt
  import parlai.utils.logging
  from parlai.utils.io import PathManager
  from pytest_regressions.data_regression import DataRegressionFixture
label_desc: Use image node_id 2 for calling the AutoTeacherTest obj's underlying member method code with example usage: obj._regression(data_regression, datatype) without return types