pub struct TopDownFlatModel;Expand description
The TopDownFlat model ranks candidates based solely on their aggregated flat weight. Each candidate’s score represents the total support or stake they possess.
Concept: Total-Weight Dominance
The resulting order is strictly determined by these scalar totals - higher weights dominate, ensuring proportional fairness where every unit of influence counts equally.
§Characteristics:
- Simple aggregation: Treats all contributions as additive and equivalent.
- Self-inclusive: Candidate’s own weight contributes to their score.
- Deterministic ordering: Sorted descending by total flat weight.
- Context-free: Requires no external context or normalization.
§Applications:
- Stake-based elections
- Token-weighted voting
- Simple ranking systems where total influence determines outcome
§Example:
let input = vec![
("Alice", 90),
("Bob", 50),
("Charlie", 80),
];
let output = TopDownFlat::compute(input, None);
assert_eq!(output, vec!["Alice", "Charlie", "Bob"]);§References
Trait Implementations§
Source§impl Debug for TopDownFlatModel
impl Debug for TopDownFlatModel
Source§impl Default for TopDownFlatModel
impl Default for TopDownFlatModel
Source§fn default() -> TopDownFlatModel
fn default() -> TopDownFlatModel
Source§impl<Candidate, FlatWeight, Input, Output> PurePluginModel<Input, (), Output> for TopDownFlatModelwhere
Input: FromIterator<(Candidate, FlatWeight)> + IntoIterator<Item = (Candidate, FlatWeight)> + Clone,
Output: FromIterator<Candidate>,
FlatWeight: Ord + Clone,
Candidate: Clone,
impl<Candidate, FlatWeight, Input, Output> PurePluginModel<Input, (), Output> for TopDownFlatModelwhere
Input: FromIterator<(Candidate, FlatWeight)> + IntoIterator<Item = (Candidate, FlatWeight)> + Clone,
Output: FromIterator<Candidate>,
FlatWeight: Ord + Clone,
Candidate: Clone,
Auto Trait Implementations§
impl Freeze for TopDownFlatModel
impl RefUnwindSafe for TopDownFlatModel
impl Send for TopDownFlatModel
impl Sync for TopDownFlatModel
impl Unpin for TopDownFlatModel
impl UnwindSafe for TopDownFlatModel
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