code: def validate_argmin_with_skipna(skipna, args, kwargs):
      """
      If 'Series.argmin' is called via the 'numpy' library,
      the third parameter in its signature is 'out', which
      takes either an ndarray or 'None', so check if the
      'skipna' parameter is either an instance of ndarray or
      is None, since 'skipna' itself should be a boolean
      """
  
      skipna, args = process_skipna(skipna, args)
      validate_argmin(args, kwargs)
      return skipna
  
imports: from numpy import ndarray
  from pandas.compat import OrderedDict
  from pandas.errors import UnsupportedFunctionCall
  from pandas.util._validators import validate_args, validate_args_and_kwargs, validate_kwargs
  from pandas.core.dtypes.common import is_bool, is_integer
label_desc: Use image node_id 2 for calling a global function with example usage: validate_argmin_with_skipna(skipna, args, kwargs) and returns: skipna