code: def register_trainable(name, trainable):
      
  
      from ray.tune.trainable import Trainable
      from ray.tune.function_runner import wrap_function
  
      if isinstance(trainable, type):
          logger.debug("Detected class for trainable.")
      elif isinstance(trainable, FunctionType):
          logger.debug("Detected function for trainable.")
          trainable = wrap_function(trainable)
      elif callable(trainable):
          logger.warning(
              "Detected unknown callable for trainable. Converting to class.")
          trainable = wrap_function(trainable)
  
      if not issubclass(trainable, Trainable):
          raise TypeError("Second argument must be convertable to Trainable",
                          trainable)
      _global_registry.register(TRAINABLE_CLASS, name, trainable)
docs: Register a trainable function or class.
  
      Args:
          name (str): Name to register.
          trainable (obj): Function or tune.Trainable class. Functions must
              take (config, status_reporter) as arguments and will be
              automatically converted into a class during registration.