use crate::{ N_INF, drift::{ConstantDrift, Drift}, gaussian::Gaussian, rating::Rating, time::Time, }; /// Per-history, temporal state for someone competing. /// /// Renamed from `Agent` in T2; the former `.player` field is now /// `.rating` to match the `Player → Rating` rename. #[derive(Debug)] pub struct Competitor = ConstantDrift> { pub rating: Rating, pub message: Gaussian, pub last_time: Option, } impl> Competitor { /// Compute the message received at time `now`, with drift accumulated /// from `self.last_time` (if any) to `now`. pub(crate) fn receive(&self, now: &T) -> Gaussian { if self.message != N_INF { let elapsed_variance = match &self.last_time { Some(last) => self.rating.drift.variance_delta(last, now), None => 0.0, }; self.message.forget(elapsed_variance) } else { self.rating.prior } } /// Compute the message using a pre-cached elapsed count (in `Time::elapsed_to` units). /// /// Used in convergence sweeps where the elapsed was cached at slice-construction time /// and should not be recomputed from `last_time` (which may have shifted). pub(crate) fn receive_for_elapsed(&self, elapsed: i64) -> Gaussian { if self.message != N_INF { self.message .forget(self.rating.drift.variance_for_elapsed(elapsed)) } else { self.rating.prior } } } impl Default for Competitor { fn default() -> Self { Self { rating: Rating::default(), message: N_INF, last_time: None, } } } pub(crate) fn clean<'a, T, D, C>(competitors: C, last_time: bool) where T: Time + 'a, D: Drift + 'a, C: Iterator>, { for c in competitors { c.message = N_INF; if last_time { c.last_time = None; } } }