code: def destructure_iloc_key(
      key: Any, frame: Union[cudf.Series, cudf.DataFrame]
  ) -> tuple[Any, ...]:
      """
      Destructure a potentially tuple-typed key into row and column indexers.
  
      Tuple arguments to iloc indexing are treated specially. They are
      picked apart into indexers for the row and column. If the number
      of entries is less than the number of modes of the frame, missing
      entries are slice-expanded.
  
      If the user-provided key is not a tuple, it is treated as if it
      were a singleton tuple, and then slice-expanded.
  
      Once this destructuring has occurred, any entries that are
      callables are then called with the indexed frame. This should
      return a valid indexing object for the rows (respectively
      columns), namely one of:
  
      - A boolean mask of the same length as the frame in the given
        dimension
      - A scalar integer that indexes the frame
      - An array-like of integers that index the frame
      - A slice that indexes the frame
  
      Integer and slice-based indexing follows usual Python conventions.
  
      Parameters
      ----------
      key
          The key to destructure
      frame
          DataFrame or Series to provide context
  
      Returns
      -------
      tuple
          Indexers with length equal to the dimension of the frame
  
      Raises
      ------
      IndexError
          If there are too many indexers, or any individual indexer is a tuple.
      """
      n = len(frame.shape)
      if isinstance(key, tuple):
          # Key potentially indexes rows and columns, slice-expand to
          # shape of frame
          indexers = key + (slice(None),) * (n - len(key))
          if len(indexers) > n:
              raise IndexError(
                  f"Too many indexers: got {len(indexers)} expected {n}"
              )
      else:
          # Key indexes rows, slice-expand to shape of frame
          indexers = (key, *(slice(None),) * (n - 1))
      indexers = tuple(k(frame) if callable(k) else k for k in indexers)
      if any(isinstance(k, tuple) for k in indexers):
          raise IndexError(
              "Too many indexers: can't have nested tuples in iloc indexing"
          )
      return indexers
  
file_path: cudf/python/cudf/cudf/core/indexing_utils.py
imports: from __future__ import annotations
  from dataclasses import dataclass
  from typing import Any, List, Tuple, Union
  from typing_extensions import TypeAlias
  import cudf
  from cudf.api.types import _is_scalar_or_zero_d_array, is_bool_dtype, is_integer, is_integer_dtype
  from cudf.core.copy_types import BooleanMask, GatherMap
label_desc: Use image node_id 1 for calling a global function with example usage: destructure_iloc_key(key, frame) and returns: indexers