Crate sp_npos_elections
source ·Expand description
A set of election algorithms to be used with a substrate runtime, typically within the staking sub-system. Notable implementation include:
seq_phragmen: Implements the Phragmén Sequential Method. An un-ranked, relatively fast election method that ensures PJR, but does not provide a constant factor approximation of the maximin problem.phragmms: Implements a hybrid approach inspired by Phragmén which is executed faster but it can achieve a constant factor approximation of the maximin problem, similar to that of the MMS algorithm.balance: Implements the star balancing algorithm. This iterative process can push a solution toward being more “balanced”, which in turn can increase its score.
Terminology
This crate uses context-independent words, not to be confused with staking. This is because the election algorithms of this crate, while designed for staking, can be used in other contexts as well.
Voter: The entity casting some votes to a number of Targets. This is the same as Nominator
in the context of staking. Target: The entities eligible to be voted upon. This is the same as
Validator in the context of staking. Edge: A mapping from a Voter to a Target.
The goal of an election algorithm is to provide an ElectionResult. A data composed of:
winners: A flat list of identifiers belonging to those who have won the election, usually ordered in some meaningful way. They are zipped with their total backing stake.assignment: A mapping from each voter to their winner-only targets, zipped with a ration denoting the amount of support given to that particular target.
// the winners.
let winners = vec![(1, 100), (2, 50)];
let assignments = vec![
// A voter, giving equal backing to both 1 and 2.
Assignment {
who: 10,
distribution: vec![(1, Perbill::from_percent(50)), (2, Perbill::from_percent(50))],
},
// A voter, Only backing 1.
Assignment { who: 20, distribution: vec![(1, Perbill::from_percent(100))] },
];
// the combination of the two makes the election result.
let election_result = ElectionResult { winners, assignments };The Assignment field of the election result is voter-major, i.e. it is from the perspective of
the voter. The struct that represents the opposite is called a Support. This struct is usually
accessed in a map-like manner, i.e. keyed by voters, therefore it is stored as a mapping called
SupportMap.
Moreover, the support is built from absolute backing values, not ratios like the example above.
A struct similar to Assignment that has stake value instead of ratios is called an
StakedAssignment.
More information can be found at: https://arxiv.org/abs/2004.12990
Re-exports
pub use reduce::reduce;pub use traits::IdentifierT;pub use traits::PerThing128;pub use balancing::*;pub use helpers::*;pub use phragmen::*;pub use phragmms::*;pub use pjr::*;Modules
Structs
ExtendedBalance.Enums
frame-election-provider-solution-type.Traits
Functions
to_support_map except it returns a
flat vector.Type Definitions
Supports but bounded by B.Support.ExtendedBalance for computation.