code: def test_pipeline_llm(self):
      texts = 'def hello():\n  print("hello world")\n'
      bigdl_llm = TransformersPipelineLLM.from_model_id(
          model_id=self.auto_causal_model_path,
          task="text-generation",
          model_kwargs={"trust_remote_code": True},
      )
  
      output = bigdl_llm(texts)
      res = "hello()" in output
      self.assertTrue(res)
  
file_path: BigDL/python/llm/test/langchain/test_transformers_api.py
imports: from bigdl.llm.langchain.llms import TransformersLLM, TransformersPipelineLLM, LlamaLLM, BloomLLM
  from bigdl.llm.langchain.embeddings import TransformersEmbeddings, LlamaEmbeddings, BloomEmbeddings
  from langchain.document_loaders import WebBaseLoader
  from langchain.indexes import VectorstoreIndexCreator
  from langchain.chains.question_answering import load_qa_chain
  from langchain.chains.chat_vector_db.prompts import CONDENSE_QUESTION_PROMPT, QA_PROMPT
  from langchain.text_splitter import CharacterTextSplitter
  from langchain.vectorstores import Chroma
  import pytest
  from unittest import TestCase
  import os
label_desc: Use image node_id 2 for calling the Test_Langchain_Transformers_API obj's underlying member method code with example usage: obj.test_pipeline_llm() without return types