code: def __call__(
      self,
      args,
      kwargs,
      fname=None,
      max_fname_arg_count=None,
      method: str | None = None,
  ) -> None:
      if args or kwargs:
          fname = self.fname if fname is None else fname
          max_fname_arg_count = (
              self.max_fname_arg_count
              if max_fname_arg_count is None
              else max_fname_arg_count
          )
          method = self.method if method is None else method
  
          if method == "args":
              validate_args(
                  fname, args, max_fname_arg_count, self.defaults
              )
          elif method == "kwargs":
              validate_kwargs(fname, kwargs, self.defaults)
          elif method == "both":
              validate_args_and_kwargs(
                  fname,
                  args,
                  kwargs,
                  max_fname_arg_count,
                  self.defaults,
              )
          else:
              raise ValueError(f"invalid validation method '{method}'")
  
imports: from __future__ import annotations
  from typing import Any, TypeVar, cast, overload
  from numpy import ndarray
  from pandas._libs.lib import is_bool, is_integer
  from pandas._typing import Axis, AxisInt
  from pandas.errors import UnsupportedFunctionCall
  from pandas.util._validators import validate_args, validate_args_and_kwargs, validate_kwargs
label_desc: Use image node_id 2 for calling the CompatValidator obj's underlying member method code with example usage: obj.__call__(args, kwargs, fname, max_fname_arg_count, method) without return types