Function sp_npos_elections::phragmms::phragmms

pub fn phragmms<AccountId: IdentifierT, P: PerThing128>(
    to_elect: usize, 
    initial_candidates: Vec<AccountId>, 
    initial_voters: Vec<(AccountId, VoteWeight, Vec<AccountId>)>, 
    balancing_config: Option<(usize, ExtendedBalance)>
) -> Result<ElectionResult<AccountId, P>, &'static str>

Execute the phragmms method.

This can be used interchangeably with [seq-phragmen] and offers a similar API, namely:

• The resulting edge weight distribution is normalized (thus, safe to use for submission).
• The accuracy can be configured via the generic type P.
• The algorithm is a best-effort to elect to_elect. If less candidates are provided, less winners are returned, without an error.

This can only fail of the normalization fails. This can happen if for any of the resulting assignments, assignment.distribution.map(|p| p.deconstruct()).sum() fails to fit inside UpperOf<P>. A user of this crate may statically assert that this can never happen and safely expect this to return Ok.