<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:
 def get_states(self, dump_optimizer=False):
 """Gets updater states. Parameters dump_optimizer : bool, default False Whether to also save the optimizer itself. This would also save optimizer information such as learning rate and weight decay schedules. """

        return pickle.dumps((self.states, self.optimizer) if dump_optimizer else self.states)