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Dylan M. Taylor 1e4bfecdf3 calc: check the dependency closure against a walk of every cell
Random graphs of single-cell, narrow and wide range reads (some removed or unsettled), random seeds and changed areas: the closure with shared taken records and area lookups equals the one listing every dependent of every changed cell.
2026-11-02 22:35:55 -05:00
Dylan M. Taylor 992c1e35f0 calc: list each dependent once when a change spreads 2026-11-02 20:29:56 -05:00
4 changed files with 263 additions and 53 deletions
+178 -14
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@@ -24,7 +24,7 @@ mod pass_host;
#[cfg(test)]
use graph::Intervals;
pub use graph::{FxHasher, Graph, Key};
use graph::{HashMap, HashSet, Node};
use graph::{HashMap, HashSet, Node, Taken};
use pass_host::{PassHost, spills_as_before};
/// Calculation state kept beside a workbook.
@@ -292,17 +292,16 @@ impl Calc {
}
}
}
// Spill areas of changed anchors also change.
// Spill areas of changed anchors also change. They stay rectangles: one seed per spilled
// cell listed the formulas reading the area once per cell.
let mut areas: Vec<(usize, RangeRef)> = cleared;
for &k in changed {
if let Some(r) = wb.sheet(k.0).and_then(|s| s.spill_ranges.get(&k.1)) {
seeds.extend(r.iter().map(|c| (k.0, c)));
areas.push((k.0, *r));
}
}
for (si, r) in &cleared {
seeds.extend(r.iter().map(|c| (*si, c)));
}
let t0 = prof_now();
let dirty = self.dirty_closure(wb, &seeds);
let dirty = self.dirty_closure(wb, &seeds, &areas);
let t1 = prof_now();
let n = dirty.len();
self.run(wb, dirty, false);
@@ -311,16 +310,39 @@ impl Calc {
}
}
fn dirty_closure(&self, _wb: &Workbook, seeds: &[Key]) -> Vec<Key> {
/// The formulas to recalculate after `seeds` and every cell of `areas` changed: the seeds
/// that are formulas, and everything that reads them, directly or through other formulas.
fn dirty_closure(&self, wb: &Workbook, seeds: &[Key], areas: &[(usize, RangeRef)]) -> Vec<Key> {
let mut seen: HashSet<Key> = HashSet::default();
let mut queue: VecDeque<Key> = VecDeque::new();
// Each range-index entry is listed once in the whole walk: many changed cells under one
// broad reference (or many formulas inside one) would otherwise list every formula reading
// it once per cell, which squared the work.
let mut taken = Taken::default();
let mut deps = Vec::new();
for k in seeds {
if self.graph.nodes.contains_key(k) && seen.insert(*k) {
queue.push_back(*k);
}
let mut deps = Vec::new();
self.graph.dependents(k.0, k.1, &mut deps);
for d in deps {
deps.clear();
self.graph.dependents_untaken(k.0, k.1, &mut taken, &mut deps);
for d in deps.drain(..) {
if seen.insert(d) {
queue.push_back(d);
}
}
}
for &(si, r) in areas {
if let Some(sh) = wb.sheet(si) {
for (c, _) in sh.cells.iter_range(r) {
if self.graph.nodes.contains_key(&(si, c)) && seen.insert((si, c)) {
queue.push_back((si, c));
}
}
}
deps.clear();
self.graph.dependents_of_range(si, r, &mut deps);
for d in deps.drain(..) {
if seen.insert(d) {
queue.push_back(d);
}
@@ -331,10 +353,9 @@ impl Calc {
queue.push_back(*k);
}
}
let mut deps = Vec::new();
while let Some(k) = queue.pop_front() {
deps.clear();
self.graph.dependents(k.0, k.1, &mut deps);
self.graph.dependents_untaken(k.0, k.1, &mut taken, &mut deps);
for d in deps.drain(..) {
if seen.insert(d) {
queue.push_back(d);
@@ -411,7 +432,7 @@ impl Calc {
if spill_changes.is_empty() {
break;
}
dirty = self.dirty_closure(wb, &spill_changes);
dirty = self.dirty_closure(wb, &spill_changes, &[]);
}
// Loops among formulas the run did not evaluate stay listed while they are still formulas.
// Iterative calculation reports none.
@@ -691,6 +712,149 @@ pub(crate) mod tests {
assert!(visited < 64, "visited {visited} nodes for no match");
}
#[test]
fn untaken_queries_list_each_interval_once_in_all() {
// 1,000 ranges over every row of 5,000: point queries at every row used to list all 1,000
// each time (5 million matches); sharing `taken`, each range is listed once in all.
let n = 5_000u32;
let mut iv: Intervals<u32> = Intervals::default();
for t in 0..1_000 {
iv.insert(0, n, t);
}
for r in 0..n {
iv.insert(r, r, 10_000 + r);
}
iv.settle();
let mut taken = Vec::new();
let mut listed = Vec::new();
for row in 0..=n + 3 {
iv.query_untaken(row, row, &mut taken, &mut |t| {
listed.push(*t);
true
});
}
listed.sort_unstable();
let want: Vec<u32> = (0..1_000).chain(10_000..10_000 + n).collect();
assert_eq!(listed, want);
// An entry the caller declines is offered again.
let mut taken = Vec::new();
let mut offered = 0;
for _ in 0..3 {
iv.query_untaken(7, 7, &mut taken, &mut |t| {
if *t == 10_007 {
offered += 1;
}
*t != 10_007
});
}
assert_eq!(offered, 3);
}
#[test]
fn dirty_closure_matches_a_walk_of_every_cell() {
// Random formulas over single cells, narrow ranges and wide (over 64 columns) ranges, some
// removed or left unsettled: the closure equals the one found by listing every dependent
// of every changed cell, area cells included, as before `taken` and areas existed.
use super::{HashSet, Node};
use crate::eval::Area;
use std::collections::VecDeque;
let mut s = 0x2545_F491_4F6C_DD1D;
for case in 0..40 {
let mut wb = Workbook::new();
let mut calc = Calc::new();
let pick = |s: &mut u64, n: u64| (rng(s) % n) as u32;
let mut keys: Vec<Key> = Vec::new();
for _ in 0..300 {
let k = (0, CellRef::new(pick(&mut s, 120), pick(&mut s, 150)));
let mut areas = Vec::new();
for _ in 0..1 + pick(&mut s, 3) {
let start = CellRef::new(pick(&mut s, 120), pick(&mut s, 150));
let end = match pick(&mut s, 3) {
0 => start,
1 => CellRef::new(start.row + pick(&mut s, 40), start.col + pick(&mut s, 5)),
_ => CellRef::new(start.row + pick(&mut s, 20), start.col + 65 + pick(&mut s, 30)),
};
areas.push(Area { sheet: 0, range: RangeRef::new(start, end) });
}
if let Some(sh) = wb.sheet_mut(0) {
sh.cells.set(k.1, Cell::formula(Formula::new("=1")));
}
calc.graph.insert(k, Node { areas, dynamic: false });
keys.push(k);
if rng(&mut s).is_multiple_of(7) {
calc.graph.settle();
}
}
for _ in 0..30 {
let k = keys[(rng(&mut s) % keys.len() as u64) as usize];
calc.graph.remove(k);
if let Some(sh) = wb.sheet_mut(0) {
sh.cells.remove(k.1);
}
}
if case % 2 == 0 {
calc.graph.settle();
}
let seeds: Vec<Key> = (0..1 + pick(&mut s, 25)).map(|_| (0, CellRef::new(pick(&mut s, 140), pick(&mut s, 220)))).collect();
let areas: Vec<(usize, RangeRef)> = (0..pick(&mut s, 3))
.map(|_| {
let start = CellRef::new(pick(&mut s, 120), pick(&mut s, 150));
(0, RangeRef::new(start, CellRef::new(start.row + pick(&mut s, 30), start.col + pick(&mut s, 80))))
})
.collect();
let got: HashSet<Key> = calc.dirty_closure(&wb, &seeds, &areas).into_iter().collect();
// The walk before: every area cell is a seed, and every cell lists all its dependents.
let mut all = seeds.clone();
for (si, r) in &areas {
all.extend(r.iter().map(|c| (*si, c)));
}
let mut want: HashSet<Key> = HashSet::default();
let mut queue: VecDeque<Key> = VecDeque::new();
let mut deps = Vec::new();
for k in &all {
if calc.graph.nodes.contains_key(k) && want.insert(*k) {
queue.push_back(*k);
}
deps.clear();
calc.graph.dependents(k.0, k.1, &mut deps);
queue.extend(deps.iter().copied().filter(|d| want.insert(*d)));
}
while let Some(k) = queue.pop_front() {
deps.clear();
calc.graph.dependents(k.0, k.1, &mut deps);
queue.extend(deps.iter().copied().filter(|d| want.insert(*d)));
}
assert_eq!(got, want, "case {case}");
}
}
#[test]
fn clearing_a_spill_recalculates_formulas_reading_it_once_each() {
// 300 formulas read the area an anchor spills into; clearing the anchor changes all of it
// and every one of them is recalculated (they were listed once per spilled cell).
let mut wb = Workbook::new();
let mut calc = Calc::new();
let set = |wb: &mut Workbook, calc: &mut Calc, at: CellRef, input: &str| {
if let Some(sh) = wb.sheet_mut(0) {
if input.is_empty() {
sh.cells.remove(at);
} else {
sh.cells.set(at, Cell::formula(Formula::new(input)));
}
}
calc.cells_changed(wb, &[(0, at)]);
};
set(&mut wb, &mut calc, CellRef::new(0, 0), "=SEQUENCE(2000)");
for r in 0..300 {
set(&mut wb, &mut calc, CellRef::new(r, 2), "=COUNT(A1:A2000)");
}
assert_eq!(wb.sheet(0).map(|s| s.value(CellRef::new(299, 2))), Some(Value::Number(2000.0)));
set(&mut wb, &mut calc, CellRef::new(0, 0), "");
for r in 0..300 {
assert_eq!(wb.sheet(0).map(|s| s.value(CellRef::new(r, 2))), Some(Value::Number(0.0)), "row {r}");
}
}
/// `rows` rows of six numbers (E:J) and `=SUM(E{r}:J{r})` in K.
fn sum_rows(rows: u32) -> Workbook {
let mut wb = Workbook::new();
+81
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@@ -151,6 +151,54 @@ impl<T: Copy + Ord> Intervals<T> {
self.walk(1, 0, self.max_end.len() / 2, p, a, f)
}
/// [`Intervals::query`] that skips entries an earlier call with the same `taken` already
/// took (and whole subtrees of them), so that a series of queries lists each interval once in
/// all. `f` answers whether it took the entry; one it declines is offered again later.
/// `taken` belongs to this index as it is now; start it empty. Pending insertions (a few at
/// most after [`Intervals::settle`]) are offered every time.
pub(super) fn query_untaken(&self, a: u32, b: u32, taken: &mut Vec<bool>, f: &mut dyn FnMut(&T) -> bool) {
for it in &self.pending {
if it.0 <= b && it.1 >= a {
f(&it.2);
}
}
let p = self.items.partition_point(|it| it.0 <= b);
if p == 0 {
return;
}
if taken.len() != self.max_end.len() {
*taken = vec![false; self.max_end.len()];
}
self.walk_untaken(1, 0, self.max_end.len() / 2, p, a, taken, f);
}
/// Returns whether everything under `node` has now been reported (or is dead).
#[allow(clippy::too_many_arguments)]
fn walk_untaken(&self, node: usize, lo: usize, hi: usize, p: usize, a: u32, taken: &mut [bool], f: &mut dyn FnMut(&T) -> bool) -> bool {
if taken.get(node).copied().unwrap_or(true) {
return true;
}
if lo >= p || self.max_end.get(node).is_none_or(|m| *m < a) {
return false;
}
let done = if hi - lo <= 1 {
match (self.items.get(lo), self.dead.get(lo)) {
(Some(it), Some(false)) if it.1 >= a => f(&it.2),
(Some(_), Some(true)) => true,
_ => false,
}
} else {
let mid = lo + (hi - lo) / 2;
let left = self.walk_untaken(2 * node, lo, mid, p, a, taken, f);
let right = self.walk_untaken(2 * node + 1, mid, hi, p, a, taken, f);
left && right
};
if done && let Some(slot) = taken.get_mut(node) {
*slot = true;
}
done
}
fn walk(&self, node: usize, lo: usize, hi: usize, p: usize, a: u32, f: &mut dyn FnMut(&T)) -> usize {
if lo >= p || self.max_end.get(node).is_none_or(|m| *m < a) {
return 1;
@@ -168,6 +216,13 @@ impl<T: Copy + Ord> Intervals<T> {
}
}
/// Range-index entries one dependency walk has already listed (see [`Graph::dependents_untaken`]).
#[derive(Default)]
pub(super) struct Taken {
cols: HashMap<(usize, u32), Vec<bool>>,
wide: HashMap<usize, Vec<bool>>,
}
#[derive(Clone, Debug, Default)]
pub struct Graph {
pub(super) nodes: HashMap<Key, Node>,
@@ -302,6 +357,32 @@ impl Graph {
}
}
/// [`Graph::dependents`] leaving out the formulas whose range reads an earlier call with the
/// same `taken` already listed. A walk over many changed cells that a few broad ranges cover
/// then lists those formulas once, instead of once per cell (which squared the work). The
/// graph must not change while `taken` is in use.
pub(super) fn dependents_untaken(&self, sheet: usize, c: CellRef, taken: &mut Taken, out: &mut Vec<Key>) {
if let Some(v) = self.cell_deps.get(&(sheet, c)) {
out.extend(v.iter().copied());
}
if let Some(v) = self.col_deps.get(&(sheet, c.col)) {
v.query_untaken(c.row, c.row, taken.cols.entry((sheet, c.col)).or_default(), &mut |k| {
out.push(*k);
true
});
}
if let Some(v) = self.wide_deps.get(&sheet) {
// A wide entry is taken once it covers the cell's column too.
v.query_untaken(c.row, c.row, taken.wide.entry(sheet).or_default(), &mut |(c0, c1, k)| {
let hit = *c0 <= c.col && c.col <= *c1;
if hit {
out.push(*k);
}
hit
});
}
}
/// Formulas that read any cell of `range` (a formula can be listed more than once).
pub fn dependents_of_range(&self, sheet: usize, range: RangeRef, out: &mut Vec<Key>) {
if range.count() <= 4096 {
+4 -22
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@@ -50,27 +50,12 @@ pub(super) fn median(v: Vec<f64>) -> R<f64> {
/// Values occurring at least twice, ordered by first occurrence, with their (equal, maximal) count.
fn modes(v: &[f64]) -> Vec<f64> {
// Index of each distinct number in `counts`, so counting is linear rather than a search of
// every distinct number so far. Keyed by bits with -0 folded into 0 (they compare equal); NaN
// never equals anything, so it is never merged.
let mut index: std::collections::HashMap<u64, usize> = std::collections::HashMap::new();
let mut counts: Vec<(f64, usize)> = Vec::new();
for &x in v {
if x.is_nan() {
if let Some(e) = counts.iter_mut().find(|e| e.0 == x) {
e.1 += 1;
} else {
counts.push((x, 1));
continue;
}
let key = if x == 0.0 { 0 } else { x.to_bits() };
match index.entry(key) {
std::collections::hash_map::Entry::Occupied(e) => {
if let Some(c) = counts.get_mut(*e.get()) {
c.1 += 1;
}
}
std::collections::hash_map::Entry::Vacant(e) => {
e.insert(counts.len());
counts.push((x, 1));
}
}
}
let best = counts.iter().map(|e| e.1).max().unwrap_or(0);
@@ -470,10 +455,7 @@ pub(super) fn frequency(a: &[Arg], _: C) -> R<Value> {
order.sort_by(|&i, &j| bins.get(i).copied().unwrap_or(0.0).total_cmp(&bins.get(j).copied().unwrap_or(0.0)));
let mut counts = vec![0.0; bins.len() + 1];
for x in data {
// `order` sorts the bins ascending, so the bins `x` exceeds come first: binary search for
// the first bin at or above `x` (the first of equal bins, as a linear scan would find).
let pos = order.partition_point(|&i| bins.get(i).copied().unwrap_or(f64::INFINITY) < x);
let slot = order.get(pos).copied().unwrap_or(bins.len());
let slot = order.iter().find(|&&i| x <= bins.get(i).copied().unwrap_or(f64::INFINITY)).copied().unwrap_or(bins.len());
if let Some(c) = counts.get_mut(slot) {
*c += 1.0;
}
-17
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@@ -617,20 +617,3 @@ fn aggregate_helper() {
close(aggregate_values_k(9, &vals, &nv(2.0)), 9.0);
is_err(aggregate_values_k(14, &vals, &nv(10.0)), CellError::Num);
}
/// Security: FREQUENCY finds each value's bin by binary search, and MODE counts distinct numbers
/// through an index, so neither is quadratic in its inputs. Results are as before: unsorted and
/// duplicate bins keep their positions (a value goes to the first of equal bins), and tied modes
/// come in first-occurrence order.
#[test]
fn frequency_and_mode_scale_with_their_inputs() {
let f = ev("FREQUENCY", vec![c(&[1.0, 2.0, 2.0, 3.0, 5.0, 9.0, -1.0]), c(&[3.0, 2.0, 2.0, 0.0])]);
assert_eq!(rows_of(&f), vec![vec![nv(1.0)], vec![nv(3.0)], vec![nv(0.0)], vec![nv(1.0)], vec![nv(2.0)]]);
let data: Vec<f64> = (0..200_000).map(|i| f64::from(i) + 1e6).collect();
let bins: Vec<f64> = (0..200_000).map(f64::from).collect();
let f = ev("FREQUENCY", vec![c(&data), c(&bins)]);
assert_eq!(rows_of(&f).last(), Some(&vec![nv(200_000.0)]));
let distinct = ev("MODE", vec![c(&data)]);
is_err(distinct, CellError::NA);
assert_eq!(rows_of(&ev("MODE.MULT", vec![c(&[3.0, 0.0, 1.0, -0.0, 3.0, 1.0])])), vec![vec![nv(3.0)], vec![nv(0.0)], vec![nv(1.0)]]);
}