code: def test_text_environment_max_calls(self, mock_generate):
      env = TextEnvironment(
          self.gpt2_model,
          self.gpt2_tokenizer,
          tools={"DummyTool": DummyTool()},
          reward_fn=lambda x: [torch.tensor(1) for _ in x],
          prompt="I am a prompt!\n",
      )
  
      env.max_turns = 1
      _, _, _, _, histories = env.run(["test"])
      self.assertEqual(
          histories[0].text,
          "I am a prompt!\n"
          + "test"
          + 1 * "<request><DummyTool>test<call>test<response>",
      )
  
      env.max_turns = 2
      _, _, _, _, histories = env.run(["test"])
      self.assertEqual(
          histories[0].text,
          "I am a prompt!\n"
          + "test"
          + 2 * "<request><DummyTool>test<call>test<response>",
      )
  
      env.max_turns = 4
      _, _, _, _, histories = env.run(["test"])
      self.assertEqual(
          histories[0].text,
          "I am a prompt!\n"
          + "test"
          + 4 * "<request><DummyTool>test<call>test<response>",
      )
  
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 6 for calling the TextEnvironmentTester obj's underlying member method code with example usage: obj.test_text_environment_max_calls(mock_generate) without return types