code: def test_text_environment_run(self, mock_generate):
      env = TextEnvironment(
          self.gpt2_model,
          self.gpt2_tokenizer,
          tools={"DummyTool": DummyTool()},
          reward_fn=lambda x: [
              torch.tensor(i) for i, _ in enumerate(x)
          ],
          prompt="I am a prompt!\n",
          max_turns=2,
      )
      task_1 = "Hello there!"
      task_2 = "Hello there! General Kenobi!"
  
      query, response, response_mask, reward, histories = env.run(
          [task_1, task_2]
      )
      self.assertEqual(len(query[0]), 9)
      self.assertEqual(len(query[1]), 12)
      self.assertEqual(len(response[0]), 14)
      self.assertEqual(len(response[1]), 14)
      self.assertEqual(
          response_mask[0].sum(), 2 * 3
      )  # mocked generate always adds 3 toknes
      self.assertEqual(
          response_mask[1].sum(), 2 * 3
      )  # mocked generate always adds 3 toknes
      self.assertEqual(reward[0], 0)
      self.assertEqual(reward[1], 1)
      self.assertEqual(
          histories[0].text,
          "I am a prompt!\n"
          + "Hello there!"
          + 2 * "<request><DummyTool>test<call>test<response>",
      )
      self.assertEqual(
          histories[1].text,
          "I am a prompt!\n"
          + "Hello there! General Kenobi!"
          + 2 * "<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 8 for calling the TextEnvironmentTester obj's underlying member method code with example usage: obj.test_text_environment_run(mock_generate) without return types