code: def validate_argsort_with_ascending(ascending, args, kwargs):
      """
      If 'Categorical.argsort' is called via the 'numpy' library, the
      first parameter in its signature is 'axis', which takes either
      an integer or 'None', so check if the 'ascending' parameter has
      either integer type or is None, since 'ascending' itself should
      be a boolean
      """
  
      if is_integer(ascending) or ascending is None:
          args = (ascending,) + args
          ascending = True
  
      validate_argsort_kind(args, kwargs, max_fname_arg_count=3)
      return ascending
  
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 4 for calling a global function with example usage: validate_argsort_with_ascending(ascending, args, kwargs) and returns: ascending