code: def experimental(fn: Callable) -> Callable:
      """Decorator to flag a feature as experimental.
  
      An experimental feature trigger a warning when used as it might be subject to breaking changes in the future.
  
      Args:
          fn (`Callable`):
              The function to flag as experimental.
  
      Returns:
          `Callable`: The decorated function.
  
      Example:
  
      ```python
      >>> from datasets.utils import experimental
  
      >>> @experimental
      ... def my_function():
      ...     print("Hello world!")
  
      >>> my_function()
      UserWarning: 'my_function' is experimental and might be subject to breaking changes in the future.
      Hello world!
      ```
      """
  
      @wraps(fn)
      def _inner_fn(*args, **kwargs):
          warnings.warn(
              (
                  f"'{fn.__name__}' is experimental and might be subject to breaking changes in the future."
              ),
              UserWarning,
          )
          return fn(*args, **kwargs)
  
      return _inner_fn
  
label_desc: Use image node_id 1 for calling a global function with example usage: experimental(fn) and returns: _inner_fn, fn