frame_plugins::elections::fair

Struct ThresholdFairModelConfig

Source 
pub struct ThresholdFairModelConfig<T> {
    pub threshold: T,
}
Expand description

Defines the configuration for ThresholdFairModel election plugin.

Candidates are filtered based on a minimum total backing before being considered for ranking or selection.

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§threshold: T

Minimum total backing required for a candidate to be considered.

  • threshold: The minimum backing value a candidate must have to be eligible.
  • Candidates with total backing less than threshold are excluded from the election.
  • Useful for preventing candidates with negligible support from affecting the outcome.

Trait Implementations§

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impl<Candidate, Backer, Backed, FairWeight, Input, Output> PurePluginModel<Input, ThresholdFairModelConfig<Backed>, Output> for ThresholdFairModel
where Input: IntoIterator<Item = (Candidate, FairWeight)> + Clone, Output: FromIterator<Candidate>, FairWeight: IntoIterator<Item = (Backer, Backed)> + Clone, Backed: Clone + Zero + Add<Output = Backed> + Ord, Candidate: Clone, Backer: Clone,

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fn compute( &self, input: Input, ctx: &ThresholdFairModelConfig<Backed>, ) -> Output

Computes the filtered candidates imperatively.

Steps:

  1. Initialize an empty output vector.
  2. Iterate over all candidates and their fair weights.
  3. Sum the Backed values for each candidate to get total.
  4. Include candidate in output if total >= ctx.threshold.
  5. Return an iterator over the filtered candidates.

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