code: def test_text_history_split_query_response(self):
      text = "Hello there!"
      tokens = torch.tensor([1, 2, 3])
      history = TextHistory(text, tokens)
      history.append_segment(
          "General Kenobi!", torch.tensor([4, 5, 6]), system=False
      )
      history.append_segment(
          "You are a bold one!", torch.tensor([7, 8, 9]), system=True
      )
      query, response, mask = history.split_query_response_tokens()
  
      self.assertTrue(torch.equal(query, torch.tensor([1, 2, 3])))
      self.assertTrue(
          torch.equal(response, torch.tensor([4, 5, 6, 7, 8, 9]))
      )
      self.assertTrue(
          torch.equal(mask, torch.tensor([1, 1, 1, 0, 0, 0]))
      )
  
imports: import unittest
  from unittest.mock import patch
  import torch
  from transformers import AutoTokenizer
  from trl import AutoModelForCausalLMWithValueHead, TextEnvironment, TextHistory
label_desc: Use image node_id 5 for calling the TextHistoryTest obj's underlying member method code with example usage: obj.test_text_history_split_query_response() without return types