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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 state_scope(self, state_fluents: Sequence[tf.Tensor]) -> Dict[str, TensorFluent]:
        '''Returns a partial scope with current state-fluents.

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

        Returns:
            A mapping from state fluent names to :obj:`rddl2tf.fluent.TensorFluent`.
        '''
        return dict(zip(self.rddl.domain.state_fluent_ordering, state_fluents))