<SYSTEM_TASK:>
Solve the following problem using Python, implementing the functions described below, one line at a time
<END_TASK>
<USER_TASK:>
Description:

def state_invariant_scope(self, state: Sequence[tf.Tensor]):
        '''Returns the state invariant fluent scope for the current `state`.

        Args:
            state (Sequence[tf.Tensor]): The current state fluents.

        Returns:
            A mapping from fluent names to :obj:`rddl2tf.fluent.TensorFluent`.
        '''
        scope = {}
        scope.update(self.non_fluents_scope())
        scope.update(self.state_scope(state))
        return scope