code: def cutoff_to_index(
      cutoff: None | int | DateLike, index: Index, default: int
  ) -> int:
      """
      Converts a cutoff to a numerical index
  
      Parameters
      ----------
      cutoff : {None, str, datetime, datetime64, Timestamp)
          The cutoff point to use
      index : DatetimeIndex
          Pandas index
      default : int
          The value to return if cutoff is None
  
      Returns
      -------
      int
          Integer value where
      """
      int_index = default
      if isinstance(
          cutoff, (str, dt.datetime, np.datetime64, Timestamp)
      ):
          assert isinstance(index, DatetimeIndex)
          int_index = date_to_index(cutoff, index)
      elif isinstance(cutoff, int) or issubclass(
          cutoff.__class__, np.integer
      ):
          assert cutoff is not None
          int_index = int(cutoff)
  
      return int_index
  
imports: from __future__ import annotations
  from arch.compat.pandas import is_datetime64_any_dtype
  from abc import ABCMeta
  from collections.abc import Hashable, Sequence
  import datetime
  from functools import cached_property
  from typing import Any, Literal, overload
  import numpy
  from pandas import DataFrame, DatetimeIndex, Index, NaT, Series, Timestamp, to_datetime
  from arch.typing import AnyPandas, ArrayLike, DateLike, NDArray
label_desc: Use image node_id 7 for calling a global function with example usage: cutoff_to_index(cutoff, index, default) and returns: int_index