frame_plugins::elections::fair

Struct ThresholdFairModel

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pub struct ThresholdFairModel;
Expand description

Filters candidates whose total backing is below a configurable threshold.

Each candidate is represented as (Candidate, FairWeight) where FairWeight is a list of (Backer, Backed) pairs. The algorithm sums all backings for a candidate and includes only those whose total meets or exceeds ctx.threshold.

§Characteristics:

  • Context-driven via [ThresholdModelConfig].
  • Deterministic ordering of candidates passing the threshold.
  • Prevents candidates with insufficient support from participating.

§Use cases:

  • Governance systems requiring minimum backing for eligibility.
  • Stake-weighted elections where very low-supported candidates should be ignored.

Trait Implementations§

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impl Debug for ThresholdFairModel

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fn fmt(&self, f: &mut Formatter<'_>) -> Result

Formats the value using the given formatter. Read more
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impl Default for ThresholdFairModel

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fn default() -> ThresholdFairModel

Returns the “default value” for a type. Read more
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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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