class_docstr: Unit test for Smart Data Lake Code Execution
class_docstr_tok: ["Unit","test","for","Smart","Data","Lake","Code","Execution"]
code: def test_get_error_prompt_invalid_llm_output_type(self):
      code_execution = CodeExecution()
  
      # Mock the InvalidLLMOutputType exception
      mock_exception = MagicMock(spec=InvalidLLMOutputType)
  
      # Call the method with the mock exception
      result = code_execution._get_error_prompt(mock_exception)
  
      # Assert that the CorrectOutputTypeErrorPrompt is returned
      assert isinstance(result, CorrectOutputTypeErrorPrompt)
  
imports: from typing import Optional
  from unittest.mock import MagicMock, Mock
  import pandas
  import pytest
  from pandasai.exceptions import InvalidLLMOutputType
  from pandasai.helpers.logger import Logger
  from pandasai.helpers.skills_manager import SkillsManager
  from pandasai.llm.fake import FakeLLM
  from pandasai.pipelines.pipeline_context import PipelineContext
  from pandasai.prompts.correct_error_prompt import CorrectErrorPrompt
  from pandasai.prompts.correct_output_type_error_prompt import CorrectOutputTypeErrorPrompt
  from pandasai.smart_dataframe import SmartDataframe
  from pandasai.pipelines.smart_datalake_chat.code_execution import CodeExecution
label_desc: Use image node_id 11 for calling the TestCodeExecution obj's underlying member method code with example usage: obj.test_get_error_prompt_invalid_llm_output_type() without return types