pub fn query_precursors_scored_par(
precs: &[PrecursorLike<'_>],
ms2: &[ClusterResult1D],
candidates_per_prec: &[Vec<usize>],
mode: MatchScoreMode,
geom_opts: &ScoreOpts,
xic_opts: &XicScoreOpts,
min_score: f32,
) -> Vec<Vec<ScoredHit>>Expand description
Score many precursors in parallel.
precs: slice of precursor-like objects (Cluster or Feature)ms2: full MS2 slicecandidates_per_prec: for each precursor, the Vecof candidate MS2 indices
Returns a Vec of length precs.len(), where each entry is the
scored hits for that precursor (sorted by descending score).