code: def test_generate_text_with_stop_words(
      self,
      mock_check_valid_model,
      mock_auto_tokenizer,
      mock_text_generation,
  ):
      generator = HuggingFaceTGIGenerator()
      generator.warm_up()
  
      # Generate text response with stop words
      response = generator.run(
          "How are you?",
          generation_kwargs={"stop_words": ["stop", "words"]},
      )
  
      # check kwargs passed to text_generation
      _, kwargs = mock_text_generation.call_args
      assert kwargs == {
          "details": True,
          "stop_sequences": ["stop", "words"],
      }
  
      # Assert that the response contains the generated replies
      assert "replies" in response
      assert isinstance(response["replies"], list)
      assert len(response["replies"]) > 0
      assert [isinstance(reply, str) for reply in response["replies"]]
  
      # Assert that the response contains the metadata
      assert "meta" in response
      assert isinstance(response["meta"], list)
      assert len(response["meta"]) > 0
      assert [isinstance(reply, dict) for reply in response["replies"]]
  
imports: from unittest.mock import patch, MagicMock, Mock
  import pytest
  from huggingface_hub.inference._text_generation import TextGenerationStreamResponse, Token, StreamDetails, FinishReason
  from huggingface_hub.utils import RepositoryNotFoundError
  from haystack.components.generators import HuggingFaceTGIGenerator
  from haystack.dataclasses import StreamingChunk
label_desc: Use image node_id 9 for calling the TestHuggingFaceTGIGenerator obj's underlying member method code with example usage: obj.test_generate_text_with_stop_words(mock_check_valid_model, mock_auto_tokenizer, mock_text_generation) without return types