use similari::examples::{vec2, SimpleAttributeUpdate, SimpleAttrs, SimpleMetric}; use similari::store; use similari::track::notify::NoopNotifier; use similari::track::Track; use similari::voting::topn::TopNVoting; use similari::voting::Voting; fn main() { const DEFAULT_FEATURE: u64 = 0; let mut db = store::TrackStore::new( SimpleMetric::default(), SimpleAttrs::default(), NoopNotifier, num_cpus::get(), ); let res = db.add( 0, DEFAULT_FEATURE, Some(1.0), Some(vec2(1.0, 0.0)), Some(SimpleAttributeUpdate {}), ); assert!(res.is_ok()); let res = db.add( 0, DEFAULT_FEATURE, Some(1.0), Some(vec2(1.0, 0.0)), Some(SimpleAttributeUpdate {}), ); // attribute implementation prevents secondary observations to be added to the same track assert!(res.is_err()); let baked = db.find_usable(); assert_eq!( baked .into_iter() .filter(|(_b, r)| r.is_ok()) .map(|(x, _)| x) .collect::>(), vec![0u64] ); let res = db.add( 1, DEFAULT_FEATURE, Some(0.9), Some(vec2(0.9, 0.1)), Some(SimpleAttributeUpdate {}), ); assert!(res.is_ok()); let mut ext_track = Track::new( 2, SimpleMetric::default(), SimpleAttrs::default(), NoopNotifier, ); let res = ext_track.add_observation( DEFAULT_FEATURE, Some(0.8), Some(vec2(0.66, 0.33)), Some(SimpleAttributeUpdate {}), ); assert!(res.is_ok()); let (dists, errs) = db.foreign_track_distances(vec![ext_track], 0, true); let dists = dists.all(); let errs = errs.all(); assert_eq!(errs.len(), 0); eprintln!("Distances: {:?}", &dists); eprintln!("Errs: {:?}", &errs); let top1_voting_engine: TopNVoting = TopNVoting::new(2, 1.0, 1); let results = top1_voting_engine.winners(dists.clone()); eprintln!( "Voting results (the less distance, the better result): {:?}", &results ); // max distance filter set to 0.4 let top1_voting_engine_filter: TopNVoting = TopNVoting::new(2, 0.4, 1); let results = top1_voting_engine_filter.winners(dists); eprintln!( "Voting results (the less distance, the better result): {:?}", &results ); }