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Solve the following problem using Python, implementing the functions described below, one line at a time
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Description:
 def restore_sampler_state(self):
 """ Restore the state of the sampler and to the state stored in the database. """


        state = self.db.getstate() or {}

        # Restore sampler's state
        sampler_state = state.get('sampler', {})
        self.__dict__.update(sampler_state)

        # Restore stochastic parameters state
        stoch_state = state.get('stochastics', {})
        for sm in self.stochastics:
            try:
                sm.value = stoch_state[sm.__name__]
            except:
                warnings.warn(
                    'Failed to restore state of stochastic %s from %s backend' %
                    (sm.__name__, self.db.__name__))