class_docstr: Unit test for Smart Data Lake Code Execution
class_docstr_tok: ["Unit","test","for","Smart","Data","Lake","Code","Execution"]
code: def test_code_execution_unsuccessful_after_retries(
      self, context, logger
  ):
      # Test Flow : Code Execution Successful after retry
      code_execution = CodeExecution()
  
      def mock_execute_code(*args, **kwargs):
          raise Exception("Unit test exception")
  
      mock_code_manager = Mock()
      mock_code_manager.execute_code = Mock(
          side_effect=mock_execute_code
      )
  
      context._query_exec_tracker = Mock()
      context.query_exec_tracker.execute_func = Mock(
          return_value=[
              "Interuppted Code",
              "Exception Testing",
              "Unsuccessful after Retries",
          ]
      )
  
      def mock_intermediate_values(key: str):
          if key == "last_prompt_id":
              return "Mocked Prompt ID"
          elif key == "skills":
              return SkillsManager()
          elif key == "code_manager":
              return mock_code_manager
  
      context.get_intermediate_value = Mock(
          side_effect=mock_intermediate_values
      )
  
      assert isinstance(code_execution, CodeExecution)
  
      result = None
      try:
          result = code_execution.execute(
              input="Test Code", context=context, logger=logger
          )
      except Exception:
          assert result is None
  
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 9 for calling the TestCodeExecution obj's underlying member method code with example usage: obj.test_code_execution_unsuccessful_after_retries(context, logger) and returns: str, SkillsManager, mock_code_manager