code: def find_index(s: AnyPandas, index: int | DateLike) -> int:
      """
      Returns the numeric index for a string or datetime
  
      Parameters
      ----------
      s : Series or DataFrame
          Series or DataFrame to use in lookup
      index : datetime-like, str
          Index value, either a string convertible to a datetime or a datetime
  
      Returns
      -------
      int
          Integer location of index value
      """
      if isinstance(index, (int, np.int64)):
          return int(index)
      assert isinstance(
          index, (str, dt.datetime, np.datetime64, Timestamp)
      )
      date_index = to_datetime(index, errors="coerce")
      # TODO: Bug in pandas-stubs does not return correct types when errors=coerce
      if date_index is NaT:
          raise ValueError(f"{index} cannot be converted to datetime")
      loc = np.argwhere(s.index == date_index).squeeze()
      if loc.size == 0:
          raise ValueError("index not found")
      return int(loc)
  
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 8 for calling a global function with example usage: find_index(s, index) and returns: int, int