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Author SHA1 Message Date
Abimael MartellandCursor 77f5885f6e fix(tables): count unique oversized candidates when querying X/Y bands
A tall rule occupying several X cells was charged once per cell against the
pair budget, which could skip a later overlapping partner. Deduplicate `j`
per query so the cap applies to distinct rects.

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-08-13 12:32:37 -07:00
Abimael MartellandCursor 3461ec0fd8 fix(tables): skip quadratic wide-by-tall clustering when the product is huge
Cross-orientation union is only needed for a handful of page-spanning rules.
When |wide|×|tall| exceeds the per-cell pair cap, skip that pass so mixed
oversized drawings cannot go quadratic. Pair counts in a range query no
longer reset per band.

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-08-13 12:27:15 -07:00
Abimael MartellandCursor f3566bbe11 fix(tables): union crossing oversized cluster rects across orientation bands
Wide and tall page-spanning rules are indexed on different axes, so a
crossing pair never shared a bucket. Query the tall X-index from each wide
or dual-oversized rect, and insert dual-oversized spans into every coarse
Y cell they cover.

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-08-13 12:21:06 -07:00
Abimael MartellandCursor b424de636a fix(tables): range-query cluster grid cells for oversized rects
Scan only occupied rows in the oversized rect's Y range, then X-partition
those keys, so unrelated drawings are not visited. Band oversized-to-oversized
unions on the short axis instead of a per-rect huge-Y fallback.

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-08-13 12:16:33 -07:00
Abimael MartellandCursor 8c69d7d6ac fix(tables): query overlapping grid cells for oversized cluster rects
Index-order scans starved later overlaps once a per-rect check cap filled
with disjoint drawings. Oversized spans now probe the cells they cover,
with Y-banded oversized-to-oversized unions so stacked page-wide rules
stay linear.

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-08-13 12:08:49 -07:00
Abimael MartellandCursor 50b9b43f4c fix(tables): visit every oversized rect under a per-rect overlap budget
Dropping .take(32) on the oversized-span list so later page-wide rules still
union the cells they overlap. AABB tests stay capped per oversized rect.

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-08-13 12:01:45 -07:00
Abimael MartellandCursor 9992535a5a fix(tables): cluster oversized rects via a bounded fallback
A span cap of 64 grid cells could omit the far end of a huge rect. Those rects now compare against every other rect (up to 32 oversized). Grid buckets are visited in sorted key order so union-find is deterministic.

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-08-13 11:56:32 -07:00
Abimael MartellandCursor e49c1b3185 fix(tables): cluster overlapping rects with a spatial grid
A per-rect cap in X-sort order could skip a same-X neighbor after 256 junk candidates. Hash rects into 64-pt cells and pair only inside each cell so independent regions still cluster and disjoint drawings stay subquadratic.

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-08-13 11:45:54 -07:00
Abimael MartellandCursor e841169ace fix(tables): cap clustering overlap tests per rect, not globally
A page-wide AABB budget could be spent on a dense stack of disjoint drawings and never reach an independent table at a later X. Limit each rect to 256 later candidates so other X-ranges still cluster.

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-08-13 11:38:25 -07:00
Abimael MartellandCursor b7be4473f1 fix(tables): bound disjoint-rect clustering so overlap tests stay subquadratic
MAX_CLUSTER_RECTS only helped when a component actually merged. Pairwise-disjoint drawing rects never hit that cap, so the all-pairs loop stayed O(n²). Sweep by left edge and cap AABB tests at 1e6.

Co-authored-by: Cursor <cursoragent@cursor.com>
2026-08-13 10:53:25 -07:00
+335 -15
View File
@@ -1,6 +1,6 @@
//! Rectangle-based table detection using union-find clustering.
use std::collections::HashMap;
use std::collections::{BTreeMap, HashMap, HashSet};
use log::debug;
@@ -78,19 +78,111 @@ pub(crate) fn rects_overlap(a: &(f32, f32, f32, f32), b: &(f32, f32, f32, f32),
!(a_right < b_left || b_right < a_left || a_top < b_bottom || b_top < a_bottom)
}
fn grid_coord(value: f32, cell: f32) -> i32 {
(value / cell).floor().clamp(-1_000_000.0, 1_000_000.0) as i32
}
/// Inclusive grid range. `None` if the rect covers more cells than we will
/// materialize — those rects are clustered via a bounded fallback.
fn grid_span(lo: f32, hi: f32, cell: f32) -> Option<std::ops::RangeInclusive<i32>> {
let a = grid_coord(lo.min(hi), cell);
let b = grid_coord(lo.max(hi), cell);
let span = b.saturating_sub(a);
if span > 64 {
return None;
}
Some(a..=b)
}
fn union_bucket_pairs(
uf: &mut UnionFind,
rects: &[(f32, f32, f32, f32)],
bucket: &[usize],
tolerance: f32,
) {
let m = bucket.len();
let mut pairs = 0usize;
'cell: for a in 0..m {
let i = bucket[a];
if uf.component_size(i) >= MAX_CLUSTER_RECTS {
continue;
}
for &j in &bucket[a + 1..] {
if pairs >= MAX_CLUSTER_PAIRS_PER_CELL {
break 'cell;
}
if uf.component_size(j) >= MAX_CLUSTER_RECTS {
continue;
}
pairs += 1;
if rects_overlap(&rects[i], &rects[j], tolerance) {
uf.union(i, j);
if uf.component_size(i) >= MAX_CLUSTER_RECTS {
break;
}
}
}
}
}
fn union_rect_against_bands(
uf: &mut UnionFind,
rects: &[(f32, f32, f32, f32)],
i: usize,
bands: &BTreeMap<i32, Vec<usize>>,
lo: i32,
hi: i32,
tolerance: f32,
) {
if uf.component_size(i) >= MAX_CLUSTER_RECTS {
return;
}
let mut pairs = 0usize;
let mut seen = HashSet::new();
for (_, bucket) in bands.range(lo..=hi) {
for &j in bucket {
if !seen.insert(j) {
continue;
}
if pairs >= MAX_CLUSTER_PAIRS_PER_CELL {
return;
}
if i == j || uf.component_size(j) >= MAX_CLUSTER_RECTS {
continue;
}
pairs += 1;
if rects_overlap(&rects[i], &rects[j], tolerance) {
uf.union(i, j);
if uf.component_size(i) >= MAX_CLUSTER_RECTS {
return;
}
}
}
}
}
/// Maximum component size for rect clustering. No real table has thousands
/// of cell rects — once a component exceeds this, it is a vector drawing or
/// page-spanning clipping path. We skip overlap checks for rects already in
/// an oversized component, keeping the original O(n²) loop but making it
/// effectively O(n) for pathological pages.
/// an oversized component.
const MAX_CLUSTER_RECTS: usize = 2000;
/// Pairwise-disjoint rects never merge, so a component-size cap does not
/// stop an all-pairs loop. Rects are hashed into this many points of grid
/// and compared only against others in the same cell.
const CLUSTER_GRID_CELL: f32 = 64.0;
/// All-pairs AABB tests allowed inside one grid cell. A real table cell is
/// tens of points wide, so a 64-pt cell holds a handful of neighbors — not
/// thousands of stacked drawings.
const MAX_CLUSTER_PAIRS_PER_CELL: usize = 16_384;
/// Cluster rects by spatial overlap using union-find.
/// Returns groups of rect indices; only groups with ≥ `min_size` rects are returned.
///
/// Skips overlap checks for rects whose component has already exceeded
/// [`MAX_CLUSTER_RECTS`], so pages with tens of thousands of vector-drawing
/// rects complete in milliseconds instead of minutes.
/// Overlap tests run inside a uniform grid so far-apart rects are never
/// compared, and each cell is pair-capped so a dense stack cannot go
/// quadratic or starve an independent table in another cell.
pub(crate) fn cluster_rects(
rects: &[(f32, f32, f32, f32)],
tolerance: f32,
@@ -98,23 +190,144 @@ pub(crate) fn cluster_rects(
) -> Vec<Vec<usize>> {
let n = rects.len();
let mut uf = UnionFind::new(n);
let cell = CLUSTER_GRID_CELL.max(tolerance * 4.0);
for i in 0..n {
// If rect i is already in an oversized component, no point comparing
// it against further rects — the component won't be used for table
// detection anyway.
let mut grid: HashMap<(i32, i32), Vec<usize>> = HashMap::new();
let mut large: Vec<usize> = Vec::new();
for (idx, &(x, y, w, h)) in rects.iter().enumerate() {
match (
grid_span(x - tolerance, x + w + tolerance, cell),
grid_span(y - tolerance, y + h + tolerance, cell),
) {
(Some(xs), Some(ys)) => {
for gx in xs {
for gy in ys.clone() {
grid.entry((gx, gy)).or_default().push(idx);
}
}
}
_ => large.push(idx),
}
}
let mut keys: Vec<_> = grid.keys().copied().collect();
keys.sort_unstable();
let mut keys_by_y: BTreeMap<i32, Vec<i32>> = BTreeMap::new();
for &key in &keys {
union_bucket_pairs(&mut uf, rects, &grid[&key], tolerance);
keys_by_y.entry(key.1).or_default().push(key.0);
}
// Oversized spans skip insert. Range-query occupied cells they cover so
// later X-ranges are not starved and we do not scan unrelated rows.
for &i in &large {
if uf.component_size(i) >= MAX_CLUSTER_RECTS {
continue;
}
for j in (i + 1)..n {
if rects_overlap(&rects[i], &rects[j], tolerance) {
uf.union(i, j);
// Check if the merged component just exceeded the cap —
// if so, no need to test more pairs for rect i.
let (x, y, w, h) = rects[i];
let x_lo = grid_coord(x - tolerance, cell);
let x_hi = grid_coord(x + w + tolerance, cell);
let y_lo = grid_coord(y - tolerance, cell);
let y_hi = grid_coord(y + h + tolerance, cell);
for (&gy, gxs) in keys_by_y.range(y_lo..=y_hi) {
let start = gxs.partition_point(|&gx| gx < x_lo);
for &gx in &gxs[start..] {
if gx > x_hi {
break;
}
let bucket = &grid[&(gx, gy)];
let mut pairs = 0usize;
for &j in bucket {
if pairs >= MAX_CLUSTER_PAIRS_PER_CELL {
break;
}
if uf.component_size(j) >= MAX_CLUSTER_RECTS {
continue;
}
pairs += 1;
if rects_overlap(&rects[i], &rects[j], tolerance) {
uf.union(i, j);
if uf.component_size(i) >= MAX_CLUSTER_RECTS {
break;
}
}
}
if uf.component_size(i) >= MAX_CLUSTER_RECTS {
break;
}
}
if uf.component_size(i) >= MAX_CLUSTER_RECTS {
break;
}
}
}
// Oversized-vs-oversized: band on the short axis so stacked or side-by-side
// page-spanning rules stay linear. Wide vs tall pairs are matched by
// querying the tall X-index; dual-oversized rects occupy every coarse-Y
// cell they span.
let mut large_x: BTreeMap<i32, Vec<usize>> = BTreeMap::new();
let mut large_y: BTreeMap<i32, Vec<usize>> = BTreeMap::new();
let mut large_coarse_y: BTreeMap<i32, Vec<usize>> = BTreeMap::new();
let mut wide: Vec<usize> = Vec::new();
let mut dual: Vec<usize> = Vec::new();
for &i in &large {
let (x, y, w, h) = rects[i];
let xs = grid_span(x - tolerance, x + w + tolerance, cell);
let ys = grid_span(y - tolerance, y + h + tolerance, cell);
match (xs, ys) {
(Some(xs), _) => {
for gx in xs {
large_x.entry(gx).or_default().push(i);
}
}
(_, Some(ys)) => {
wide.push(i);
for gy in ys {
large_y.entry(gy).or_default().push(i);
}
}
_ => {
dual.push(i);
let coarse = cell * 64.0;
match grid_span(y - tolerance, y + h + tolerance, coarse) {
Some(ys) => {
for gy in ys {
large_coarse_y.entry(gy).or_default().push(i);
}
}
None => {
large_coarse_y.entry(i32::MIN).or_default().push(i);
}
}
}
}
}
for bands in [&large_x, &large_y, &large_coarse_y] {
for bucket in bands.values() {
union_bucket_pairs(&mut uf, rects, bucket, tolerance);
}
}
// Cross-orientation is |wide|×|tall| if every wide rule spans the page.
// Skip that pass when the product cannot be a table (a few rules).
let tall_n = large
.len()
.saturating_sub(wide.len())
.saturating_sub(dual.len());
let cross_n =
(wide.len() + dual.len()).saturating_mul(tall_n) + dual.len().saturating_mul(wide.len());
if cross_n > 0 && cross_n <= MAX_CLUSTER_PAIRS_PER_CELL {
for &i in wide.iter().chain(&dual) {
let (x, _, w, _) = rects[i];
let x_lo = grid_coord(x - tolerance, cell);
let x_hi = grid_coord(x + w + tolerance, cell);
union_rect_against_bands(&mut uf, rects, i, &large_x, x_lo, x_hi, tolerance);
}
for &i in &dual {
let (_, y, _, h) = rects[i];
let y_lo = grid_coord(y - tolerance, cell);
let y_hi = grid_coord(y + h + tolerance, cell);
union_rect_against_bands(&mut uf, rects, i, &large_y, y_lo, y_hi, tolerance);
}
}
@@ -3810,6 +4023,113 @@ mod tests {
assert_eq!(groups[0].len(), 2);
}
#[test]
fn test_cluster_rects_overlapping_grid_still_clusters() {
// Neighboring cells overlap; the grid must still union the whole table.
let mut rects = Vec::new();
for row in 0..4 {
for col in 0..4 {
rects.push((col as f32 * 9.0, row as f32 * 9.0, 10.0, 10.0));
}
}
let groups = cluster_rects(&rects, 0.0, 1);
assert_eq!(groups.len(), 1);
assert_eq!(groups[0].len(), 16);
}
#[test]
fn test_cluster_rects_many_disjoint_stays_subquadratic() {
// Pairwise-disjoint rects never merge, so a component-size cap does
// not stop all-pairs overlap tests. Spread in X so they land in
// different grid cells; 8k is enough that n² tests would dominate.
let n = 8_000usize;
let rects: Vec<(f32, f32, f32, f32)> =
(0..n).map(|i| (i as f32 * 20.0, 0.0, 10.0, 10.0)).collect();
let groups = cluster_rects(&rects, 0.0, 2);
assert!(groups.is_empty());
}
#[test]
fn test_cluster_rects_stacked_disjoint_does_not_starve_later_table() {
// Same X, spread in Y: a spatial grid must still union an overlapping
// pair in another region of the page.
let n = 8_000usize;
let mut rects: Vec<(f32, f32, f32, f32)> =
(0..n).map(|i| (0.0, i as f32 * 20.0, 10.0, 10.0)).collect();
rects.push((500.0, 0.0, 10.0, 10.0));
rects.push((508.0, 0.0, 10.0, 10.0));
let groups = cluster_rects(&rects, 0.0, 2);
assert_eq!(groups.len(), 1);
assert_eq!(groups[0].len(), 2);
}
#[test]
fn test_cluster_rects_oversized_span_still_unions() {
// Wider than 64 grid cells; must still union the small overlapping rect.
let rects = vec![(0.0, 0.0, 5000.0, 10.0), (4900.0, 0.0, 10.0, 10.0)];
let groups = cluster_rects(&rects, 0.0, 1);
assert_eq!(groups.len(), 1);
assert_eq!(groups[0].len(), 2);
}
#[test]
fn test_cluster_rects_many_oversized_spans_all_get_a_pass() {
// More than 32 huge rects: the last one must still union its overlap.
let mut rects: Vec<(f32, f32, f32, f32)> = (0..40)
.map(|i| (0.0, i as f32 * 20.0, 5000.0, 10.0))
.collect();
rects.push((4900.0, 39.0 * 20.0, 10.0, 10.0));
let groups = cluster_rects(&rects, 0.0, 2);
assert_eq!(groups.len(), 1);
assert_eq!(groups[0].len(), 2);
}
#[test]
fn test_cluster_rects_oversized_not_starved_by_earlier_disjoint() {
// 9k earlier disjoint drawings would exhaust an index-order cap of
// 8,192 before the overlapping cell is visited.
let mut rects: Vec<(f32, f32, f32, f32)> = (0..9_000)
.map(|i| (10_000.0, i as f32 * 20.0, 10.0, 10.0))
.collect();
let wide = rects.len();
rects.push((0.0, 0.0, 5000.0, 10.0));
let target = rects.len();
rects.push((4900.0, 0.0, 10.0, 10.0));
let groups = cluster_rects(&rects, 0.0, 2);
assert!(
groups
.iter()
.any(|g| g.contains(&wide) && g.contains(&target)),
"wide rule and far-end cell must share a cluster"
);
}
#[test]
fn test_cluster_rects_wide_and_tall_oversized_union() {
let rects = vec![(0.0, 0.0, 5000.0, 10.0), (0.0, 0.0, 10.0, 5000.0)];
let groups = cluster_rects(&rects, 0.0, 2);
assert_eq!(groups.len(), 1);
assert_eq!(groups[0].len(), 2);
}
#[test]
fn test_cluster_rects_dual_oversized_spans_coarse_y() {
let rects = vec![(0.0, 0.0, 5000.0, 5000.0), (0.0, 4500.0, 5000.0, 5000.0)];
let groups = cluster_rects(&rects, 0.0, 2);
assert_eq!(groups.len(), 1);
assert_eq!(groups[0].len(), 2);
}
#[test]
fn test_cluster_rects_many_wide_and_tall_stays_subquadratic() {
let mut rects = Vec::with_capacity(4_000);
for i in 0..2_000 {
rects.push((0.0, i as f32 * 20.0, 5000.0, 10.0));
rects.push((i as f32 * 20.0, 0.0, 10.0, 5000.0));
}
let _groups = cluster_rects(&rects, 0.0, 2);
}
// --- snap_edges ---
#[test]