Function rustfst::algorithms::factor_weight::factor_weight

pub fn factor_weight<W, F1, B, F2, FI>(
    fst_in: B, 
    opts: FactorWeightOptions
) -> Result<F2> where
    F1: Fst<W>,
    B: Borrow<F1>,
    F2: MutableFst<W> + AllocableFst<W>,
    FI: FactorIterator<W>,
    W: WeightQuantize, 

The result of weight factoring is a transducer equivalent to the input whose path weights have been factored according to the FactorIterator. States and transitions will be added as necessary. The algorithm is a generalization to arbitrary weights of the second step of the input epsilon-normalization algorithm.