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_solution
]: Implements the star balancing algorithm. This iterative process can push a solution toward being
more balanced
, which in turn can increase its score.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.
```rust // 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::frompercent(50)), (2, Perbill::frompercent(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
License: Apache-2.0