code: def apply_optional_remediation(
      df: pd.DataFrame, remediation: Remediation, auto_accept: bool
  ) -> tuple[pd.DataFrame, bool]:
      """
      This function will apply an optional remediation to a dataframe, based on the user input.
      """
      optional_applied = False
      input_text = f"- [Recommended] {remediation.optional_msg} [Y/n]: "
      if remediation.optional_msg is not None:
          if accept_suggestion(input_text, auto_accept):
              assert remediation.optional_fn is not None
              df = remediation.optional_fn(df)
              optional_applied = True
      if remediation.necessary_msg is not None:
          sys.stdout.write(
              f"- [Necessary] {remediation.necessary_msg}\n"
          )
      return df, optional_applied
  
imports: from __future__ import annotations
  import os
  import sys
  from typing import Any, TypeVar, Callable, Optional, NamedTuple
  from typing_extensions import TypeAlias
  from .._extras import pandas
label_desc: Use image node_id 17 for calling a global function with example usage: apply_optional_remediation(df, remediation, auto_accept) and returns: df,  optional_applied