code: def _validate_skipfooter_arg(skipfooter: int) -> int:
      """
      Validate the 'skipfooter' parameter.
  
      Checks whether 'skipfooter' is a non-negative integer.
      Raises a ValueError if that is not the case.
  
      Parameters
      ----------
      skipfooter : non-negative integer
          The number of rows to skip at the end of the file.
  
      Returns
      -------
      validated_skipfooter : non-negative integer
          The original input if the validation succeeds.
  
      Raises
      ------
      ValueError : 'skipfooter' was not a non-negative integer.
      """
      if not is_integer(skipfooter):
          raise ValueError("skipfooter must be an integer")
  
      if skipfooter < 0:
          raise ValueError("skipfooter cannot be negative")
  
      return skipfooter
  
imports: from __future__ import annotations
  from collections import abc, defaultdict
  import csv
  from io import StringIO
  import re
  import sys
  from typing import IO, TYPE_CHECKING, DefaultDict, Hashable, Iterator, List, Literal, Mapping, Sequence, cast
  import numpy
  from pandas._libs import lib
  from pandas._typing import ArrayLike, ReadCsvBuffer, Scalar
  from pandas.errors import EmptyDataError, ParserError
  from pandas.core.dtypes.common import is_integer
  from pandas.core.dtypes.inference import is_dict_like
  from pandas.io.common import dedup_names, is_potential_multi_index
  from pandas.io.parsers.base_parser import ParserBase, parser_defaults
label_desc: Use image node_id 2 for calling a global function with example usage: _validate_skipfooter_arg(skipfooter) and returns: skipfooter