Trait net_ensembles::sampling::traits::SimpleSample

pub trait SimpleSample {
    fn randomize(&mut self);

    fn simple_sample<F>(&mut self, times: usize, f: F)
    where
        F: FnMut(&Self),
    { ... }
    fn simple_sample_vec<F, G>(&mut self, times: usize, f: F) -> Vec<G>
    where
        F: FnMut(&Self) -> G,
    { ... }
}

For easy sampling of your ensemble

Required methods

fn randomize(&mut self)

Randomizes self according to model

• this is intended for creation of initial sample
• used in simple_sample and simple_sample_vec

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Provided methods

fn simple_sample<F>(&mut self, times: usize, f: F) where
    F: FnMut(&Self), 

do the following times times:

1. f(self)
2. self.randomize()

fn simple_sample_vec<F, G>(&mut self, times: usize, f: F) -> Vec<G> where
    F: FnMut(&Self) -> G, 

do the following times times:

1. res = f(self)
2. self.randomize()

res is collected into Vector

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Implementors

impl<T, R> SimpleSample for ErEnsembleC<T, R> where
    T: Node + SerdeStateConform,
    R: Rng, 

fn randomize(&mut self)

Randomizes the edges according to Er probabilities

• this is used by ErEnsembleC::new to create the initial topology
• you can use this for sampling the ensemble
• runs in O(vertices * vertices)

impl<T, R> SimpleSample for ErEnsembleM<T, R> where
    T: Node + SerdeStateConform,
    R: Rng, 

fn randomize(&mut self)

Randomizes self according to model

• this is intended for creation of initial sample
• used in simple_sample and simple_sample_vec

impl<T, R> SimpleSample for SwEnsemble<T, R> where
    T: Node + SerdeStateConform,
    R: Rng, 

fn randomize(&mut self)

Randomizes the edges according to small-world model

• this is used by SwEnsemble::new to create the initial topology
• you can use this for sampling the ensemble
• runs in O(vertices)

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