class_docstr: Code Execution Stage
docstr: A method to retry the code execution with error correction framework.
  
  Args:
      code (str): A python code
      context (PipelineContext) : Pipeline Context
      logger (Logger) : Logger
      e (Exception): An exception
      dataframes
  
  Returns (str): A python code
docstr_tok: ["A","method","to","retry","the","code","execution","with","error","correction","framework",".","Args",":","code","(","str",")",":","A","python","code","context","(","PipelineContext",")",":","Pipeline","Context","logger","(","Logger",")",":","Logger","e","(","Exception",")",":","An","exception","dataframes","Returns","(","str",")",":","A","python","code"]
code: def _retry_run_code(
      self,
      code: str,
      context: PipelineContext,
      logger: Logger,
      e: Exception,
      error_prompt=CorrectErrorPrompt(),
  ) -> List:
      """
      A method to retry the code execution with error correction framework.
  
      Args:
          code (str): A python code
          context (PipelineContext) : Pipeline Context
          logger (Logger) : Logger
          e (Exception): An exception
          dataframes
  
      Returns (str): A python code
      """
      logger.log(f"Failed with error: {e}. Retrying", logging.ERROR)
  
      default_values = {
          "engine": context.dfs[0].engine,
          "code": code,
          "error_returned": e,
          "output_type_hint": context.get_intermediate_value(
              "output_type_helper"
          ).template_hint,
      }
      error_correcting_instruction = context.get_intermediate_value(
          "get_prompt"
      )(
          "correct_error",
          default_prompt=error_prompt,
          default_values=default_values,
      )
  
      return context.config.llm.generate_code(
          error_correcting_instruction
      )
  
file_path: pandas-ai/pandasai/pipelines/smart_datalake_chat/code_execution.py
imports: import logging
  import traceback
  from typing import Any, List
  from pandasai.exceptions import InvalidLLMOutputType
  from pandasai.prompts.base import AbstractPrompt
  from pandasai.prompts.correct_output_type_error_prompt import CorrectOutputTypeErrorPrompt
  from ...helpers.code_manager import CodeExecutionContext
  from ...helpers.logger import Logger
  from ..base_logic_unit import BaseLogicUnit
  from ..pipeline_context import PipelineContext
  from ...prompts.correct_error_prompt import CorrectErrorPrompt
label_desc: Use image node_id 3 for calling the CodeExecution obj's underlying member method code with example usage: obj._retry_run_code(code, context, logger, e, error_prompt) and returns: context