code: def handle_numpy_casting_special(fn: Callable) -> Callable:
      @functools.wraps(fn)
      def _handle_numpy_casting_special(
          *args, casting="same_kind", dtype=None, **kwargs
      ):
          """Check numpy casting type for special cases where output must be type
          bool.
  
          Parameters
          ----------
          args
              The arguments to be passed to the function.
  
          kwargs
              The keyword arguments to be passed to the function.
  
          Returns
          -------
              The return of the function, or raise IvyException if error is thrown.
          """
          ivy.utils.assertions.check_elem_in_list(
              casting,
              ["no", "equiv", "safe", "same_kind", "unsafe"],
              message="casting must be one of [no, equiv, safe, same_kind, unsafe]",
          )
          if ivy.exists(dtype):
              ivy.utils.assertions.check_equal(
                  ivy.as_ivy_dtype(dtype),
                  "bool",
                  message="output is compatible with bool only",
                  as_array=False,
              )
  
          return fn(*args, **kwargs)
  
      _handle_numpy_casting_special.handle_numpy_casting_special = True
      return _handle_numpy_casting_special
  
imports: import functools
  from typing import Callable, Any
  import inspect
  import platform
  import ivy
  import ivy.functional.frontends.numpy
label_desc: Use image node_id 16 for calling a global function with example usage: handle_numpy_casting_special(fn) and returns: _handle_numpy_casting_special, fn