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Every face the user has ruled on entered the pass as an anchor, and the scan is exhaustive by design (`dr_face::neighbours`), so a person with 750 confirmed faces cost 750 comparisons against every other face in the library — and the cost of a library grew with how well it was named. Most of those comparisons said nothing new: thirty frames from one afternoon are one point of view, not thirty, and a face that matches one of them matches the rest. Each person now enters through at most 100 of their anchored faces (`dr_face::references`). Eligible are those whose raw embedding is at least 15 long — one above the gallery floor, since a reference speaks for someone rather than merely being admitted — with an unmeasured length admitted as it is everywhere else. From those, the set spanning the greatest volume is chosen greedily: the longest vector first, then at each step the face with the largest component orthogonal to the chosen so far. That is pivoted Gram–Schmidt, and the product of the residuals it picks is the Gram determinant, so the greedy step is the exact greedy on the objective. A near-duplicate of a chosen face has no residual and is passed over; the one profile shot among two hundred frontal frames is taken early; faces inside the span of the chosen add no volume and are not taken to fill the cap. The faces not chosen keep their confirmations and are not touched by the pass — they stay in the anchor map, so it never releases them — they are simply not compared. A person none of whose faces is long enough is still stood for, by their longest, rather than losing their anchor and having their next face filed as a stranger. Under the cap nothing changes: every eligible face stands, and the short ones stay in as the probes they were. At the reference library's 3,851 confirmations the scan shrinks by about a fifth; at 15,000 it is a fifth of what it was.
233 lines
9.5 KiB
Rust
233 lines
9.5 KiB
Rust
//! TRACES: FR-CULL-10 | NFR-P9
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//! Which of a person's faces stand for them in a grouping pass.
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//!
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//! # Why not all of them
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//!
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//! Every face the user has ruled on enters [`crate::cluster`] as an anchor,
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//! and the pass compares every face against every other
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//! ([`crate::neighbours`] is exhaustive by design). So a person with 750
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//! confirmed faces costs 750 comparisons against each of the library's other
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//! faces, and the cost of naming a library well grows with how well it is
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//! named: a fully confirmed library of 25,000 faces spends almost the whole
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//! scan re-comparing faces whose identity is already settled against each
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//! other.
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//!
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//! Most of those comparisons say nothing new. A person's confirmed faces are
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//! heavily redundant — thirty frames from one afternoon are one point of
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//! view, not thirty — and a new face that matches one of them matches the
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//! others too. What a new face needs to be measured against is the person's
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//! *range*: the angles, ages and lights they have been photographed in, each
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//! represented once.
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//!
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//! # The choice: the most diverse of the good ones
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//!
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//! Two rules, in order.
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//!
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//! **Good enough to vouch.** Only faces whose raw embedding was at least
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//! [`MIN_REFERENCE_QUALITY`] long are eligible — a stricter floor than the
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//! gallery's ([`crate::embedding::MIN_GALLERY_QUALITY`]), because a reference
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//! is asked to speak *for* a person rather than merely be admitted to the
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//! comparison. A face whose length was never recorded is admitted, as it is
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//! everywhere else: a rule that cannot be checked admits rather than excludes.
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//!
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//! **As far apart as possible.** From the eligible pool, up to
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//! [`MAX_REFERENCES`] faces are chosen to maximise the volume they span —
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//! the determinant of their Gram matrix — greedily: start from the longest
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//! vector, and at each step add the face with the largest component
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//! orthogonal to everything chosen so far. That is Gram–Schmidt with a
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//! pivot, and the product of the squared residuals it picks *is* the
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//! determinant, so the greedy step is the exact greedy on the objective.
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//! The effect is that a near-duplicate of a chosen face has almost no
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//! residual and is passed over, while the one profile shot among two
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//! hundred frontal frames is taken early.
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//!
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//! What is not chosen still belongs to the person. Those faces keep their
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//! confirmations and are not touched by the pass; they are simply not
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//! compared, which is the whole saving.
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/// The most faces that stand for one person.
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///
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/// A hundred is far more points of view than a person has. What it bounds
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/// is the cost: with every person at the cap, a scan against the named part
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/// of a library is `people × 100` comparisons per face rather than
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/// `confirmations`, and the two part company as soon as a library is used.
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pub const MAX_REFERENCES: usize = 100;
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/// The shortest raw embedding that may stand for a person.
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///
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/// One above the gallery floor: a reference vouches for someone, and the
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/// margin keeps the faces that only just cleared the gallery — the ones
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/// nearest the middle of the sphere — out of the set that speaks for a
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/// person.
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pub const MIN_REFERENCE_QUALITY: f32 = 15.0;
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/// Whether a face of this quality may stand for a person.
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///
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/// `None` is "never measured" and is admitted, as in
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/// [`crate::embedding::in_gallery`].
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pub fn eligible(quality: Option<f32>) -> bool {
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quality.is_none_or(|q| q >= MIN_REFERENCE_QUALITY)
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}
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/// Choose which of one person's faces stand for them.
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///
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/// `embeddings` and `quality` are one entry per face, the embeddings unit
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/// length and all of one dimension. Returns the indices chosen, in the order
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/// chosen — the first is the longest eligible vector, and each after it is
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/// the one furthest from the span of those before. Every eligible face is
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/// returned when there are `max` or fewer of them, so a person under the
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/// cap loses nothing.
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///
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/// Deterministic: equal residuals break on the longer vector, then the lower
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/// index, so two devices holding the same faces choose the same references
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/// and group the same way (`cluster::clustering_is_deterministic`).
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pub fn select(embeddings: &[&[f32]], quality: &[Option<f32>], max: usize) -> Vec<usize> {
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debug_assert_eq!(embeddings.len(), quality.len());
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let mut pool: Vec<usize> = (0..embeddings.len())
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.filter(|&i| eligible(quality[i]))
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.collect();
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if pool.len() <= max {
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return pool;
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}
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// Longest first, so the seed is the pool's front and a tie on residual
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// resolves to the earlier position. A missing reading ranks below any
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// measured one for this purpose only: it is admitted, but a face that
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// was measured and found long is the better seed.
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pool.sort_by(|&a, &b| {
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let qa = quality[a].unwrap_or(0.0);
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let qb = quality[b].unwrap_or(0.0);
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qb.total_cmp(&qa).then(a.cmp(&b))
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});
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// Residuals: what remains of each pool vector outside the span of the
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// chosen ones. Copied, since they are rewritten in place.
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let mut residual: Vec<Vec<f32>> = pool.iter().map(|&i| embeddings[i].to_vec()).collect();
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let mut taken = vec![false; pool.len()];
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let mut chosen = Vec::with_capacity(max);
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while chosen.len() < max {
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// The face with the most left outside the span. The seed is the
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// pool's front by construction: every unit vector has the same
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// residual before anything is chosen, up to rounding, and rounding
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// is not a reason to prefer one. After that `> best` and not `>=`,
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// so a genuine tie keeps the earlier (longer) candidate.
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let mut pick = None;
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let mut best = 0.0_f32;
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if chosen.is_empty() {
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pick = Some(0);
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best = residual[0].iter().map(|x| x * x).sum();
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} else {
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for (k, r) in residual.iter().enumerate() {
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if taken[k] {
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continue;
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}
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let n2: f32 = r.iter().map(|x| x * x).sum();
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if n2 > best {
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best = n2;
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pick = Some(k);
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}
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}
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}
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// Nothing left outside the span: every remaining face is a
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// combination of the chosen ones and adds no volume.
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let Some(k) = pick.filter(|_| best > 1e-6) else {
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break;
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};
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taken[k] = true;
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chosen.push(pool[k]);
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// Project the chosen direction out of every remaining residual.
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let inv = best.sqrt().recip();
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let q: Vec<f32> = residual[k].iter().map(|x| x * inv).collect();
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for (j, r) in residual.iter_mut().enumerate() {
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if taken[j] {
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continue;
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}
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let d: f32 = r.iter().zip(&q).map(|(a, b)| a * b).sum();
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for (x, y) in r.iter_mut().zip(&q) {
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*x -= d * y;
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}
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}
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}
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chosen
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}
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#[cfg(test)]
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mod tests {
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use super::*;
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fn unit(v: &[f32]) -> Vec<f32> {
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let n = v.iter().map(|x| x * x).sum::<f32>().sqrt();
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v.iter().map(|x| x / n).collect()
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}
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#[test]
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fn a_person_under_the_cap_keeps_every_eligible_face() {
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let e = [unit(&[1.0, 0.0]), unit(&[0.0, 1.0]), unit(&[1.0, 1.0])];
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let refs: Vec<&[f32]> = e.iter().map(Vec::as_slice).collect();
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let q = [Some(20.0), None, Some(16.0)];
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assert_eq!(select(&refs, &q, 100), vec![0, 1, 2]);
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}
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#[test]
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fn a_short_vector_never_stands_for_a_person() {
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let e = [unit(&[1.0, 0.0]), unit(&[0.0, 1.0])];
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let refs: Vec<&[f32]> = e.iter().map(Vec::as_slice).collect();
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let q = [Some(20.0), Some(MIN_REFERENCE_QUALITY - 0.01)];
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assert_eq!(select(&refs, &q, 100), vec![0]);
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}
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/// Two hundred frames from one afternoon and one profile shot: the
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/// profile is the second choice, not the two-hundred-and-first.
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#[test]
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fn the_odd_one_out_is_chosen_before_any_duplicate() {
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let mut e: Vec<Vec<f32>> = Vec::new();
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let mut q = Vec::new();
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for i in 0..200 {
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// Near-duplicates of one direction, with a little noise.
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let t = (i as f32) * 1e-3;
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e.push(unit(&[1.0, t, t * 0.5]));
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q.push(Some(20.0 + (i % 7) as f32));
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}
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e.push(unit(&[0.0, 0.0, 1.0]));
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q.push(Some(16.0));
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let refs: Vec<&[f32]> = e.iter().map(Vec::as_slice).collect();
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let chosen = select(&refs, &q, 3);
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assert_eq!(chosen.len(), 3);
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assert_eq!(
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chosen[1], 200,
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"the profile shot was not second: {chosen:?}"
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);
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// Seeded on the longest vector.
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assert_eq!(q[chosen[0]], Some(26.0));
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}
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/// Faces inside the span of the chosen ones add no volume and are not
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/// taken to fill the cap.
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#[test]
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fn the_cap_is_not_filled_from_inside_the_span() {
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let e = [
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unit(&[1.0, 0.0]),
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unit(&[0.0, 1.0]),
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unit(&[1.0, 1.0]),
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unit(&[2.0, -1.0]),
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];
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let refs: Vec<&[f32]> = e.iter().map(Vec::as_slice).collect();
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let q = [Some(20.0); 4];
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assert_eq!(select(&refs, &q, 3).len(), 2);
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}
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#[test]
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fn the_choice_is_deterministic() {
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let e: Vec<Vec<f32>> = (0..50)
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.map(|i| {
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let a = (i as f32) * 0.37;
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unit(&[a.cos(), a.sin(), (a * 3.0).sin(), 0.2])
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})
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.collect();
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let refs: Vec<&[f32]> = e.iter().map(Vec::as_slice).collect();
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let q = vec![Some(18.0); 50];
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assert_eq!(select(&refs, &q, 5), select(&refs, &q, 5));
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}
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}
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