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synced 2026-11-11 04:50:23 -06:00
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7
Commits
| Author | SHA1 | Date | |
|---|---|---|---|
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bc2dabc7ea | ||
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e14f783503 | ||
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542aa176ce | ||
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67a0b7f325 | ||
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bbe0825404 | ||
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aa4951fdf4 | ||
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79fe7b8eb6 |
@@ -52,13 +52,16 @@ impl<'h> Evaluator<'h> {
|
||||
"ISFORMULA" | "FORMULATEXT" => {
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let Some(Ev::R(a)) = args.first().map(|a| self.eval(a)) else { return err(CellError::NA) };
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let Some(a) = a.first() else { return err(CellError::NA) };
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||||
let f = self.host.workbook().sheet(a.sheet).and_then(|s| s.cell(a.range.start)).and_then(|c| c.formula.clone());
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let wb = self.host.workbook();
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let f = wb.sheet(a.sheet).and_then(|s| s.cell(a.range.start)).and_then(|c| c.formula.clone());
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// A formula formatted Hidden on a protected sheet stays hidden from FORMULATEXT too.
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||||
let hidden = wb.sheet(a.sheet).is_some_and(|s| s.is_protected() && wb.styles.get(s.style_id(a.range.start)).protection.hidden);
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if name == "ISFORMULA" {
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Ev::V(Value::Bool(f.is_some()))
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} else {
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match f {
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Some(f) => Ev::V(Value::text(format!("={}", f.text))),
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None => err(CellError::NA),
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Some(f) if !hidden => Ev::V(Value::text(format!("={}", f.text))),
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_ => err(CellError::NA),
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}
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}
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}
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@@ -7,6 +7,20 @@ use crate::{Prim, Rgba};
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/// Largest image we allocate (pixels).
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const MAX_PIXELS: u64 = 64 * 1024 * 1024;
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const SUB: usize = 4;
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/// Scan-conversion work one [`rasterize`] call may do: edge tests (an active edge at one
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/// sub-sample) plus covered pixels blended. Edges are only tested on the rows they cross, but a
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/// caller can still pass enough geometry to keep the rasteriser busy for minutes on a small
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/// image; once the allowance is spent the remaining fills are skipped. 2^28 is about a second,
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/// far beyond any chart.
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const MAX_SCAN_WORK: u64 = 1 << 28;
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/// Most points one filled path may have: more is skipped before any edge is built. Chart
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/// renderers cap and decimate their paths far below this; it only bounds direct callers.
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const MAX_FILL_POINTS: usize = 1 << 22;
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/// Most points one stroked polyline may have: more is skipped before any segment path is built
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/// (each segment becomes its own quad). Charts hold at most 100,000 points per series and draw far
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/// fewer; it only bounds direct callers.
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const MAX_STROKE_POINTS: usize = 1 << 17;
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type Path = Vec<Vec<[f32; 2]>>;
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@@ -15,6 +29,8 @@ struct Canvas {
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h: usize,
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buf: Vec<u8>,
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acc: Vec<f32>,
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/// Scan-conversion work left (see [`MAX_SCAN_WORK`]).
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work: u64,
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}
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impl Canvas {
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@@ -41,7 +57,12 @@ impl Canvas {
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/// Fills a multi-contour path with the even-odd rule.
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fn fill(&mut self, path: &Path, color: Rgba) {
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let mut edges: Vec<[f32; 4]> = Vec::new();
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// Out of work, or more geometry than the allowance could ever scan: no edge list is built.
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if self.work == 0 || path.iter().map(Vec::len).fold(0usize, usize::saturating_add) > MAX_FILL_POINTS {
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return;
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}
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// Each edge as [top y, bottom y, x0, y0, x1, y1].
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let mut edges: Vec<[f32; 6]> = Vec::new();
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let (mut minx, mut miny, mut maxx, mut maxy) = (f32::INFINITY, f32::INFINITY, f32::NEG_INFINITY, f32::NEG_INFINITY);
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for c in path {
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if c.len() < 3 || !c.iter().all(|p| p[0].is_finite() && p[1].is_finite()) {
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@@ -54,7 +75,7 @@ impl Canvas {
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miny = miny.min(p[1]);
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maxy = maxy.max(p[1]);
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if p[1] != q[1] {
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edges.push([p[0], p[1], q[0], q[1]]);
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edges.push([p[1].min(q[1]), p[1].max(q[1]), p[0], p[1], q[0], q[1]]);
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}
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}
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}
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@@ -72,8 +93,28 @@ impl Canvas {
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if self.acc.len() < bw + 1 {
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self.acc.resize(bw + 1, 0.0);
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}
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// Active-edge list: edges join when the scan reaches their top and leave past their
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// bottom, so each row tests only the edges crossing it instead of every edge.
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edges.sort_by(|a, b| a[0].total_cmp(&b[0]));
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let mut pending = edges.iter().peekable();
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let mut active: Vec<[f32; 6]> = Vec::new();
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let mut xs: Vec<f32> = Vec::new();
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for py in y0..y1 {
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while let Some(e) = pending.next_if(|e| e[0] < py as f32 + 1.0) {
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active.push(*e);
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}
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active.retain(|e| e[1] > py as f32);
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if active.is_empty() {
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||||
continue;
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||||
}
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// The row's edge tests and its `bw` accumulator clears and blends, charged before any of
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||||
// them, so rows with no coverage still count.
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let cost = (active.len() * SUB) as u64 + bw as u64;
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if cost > self.work {
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self.work = 0;
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return;
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}
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self.work -= cost;
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for v in self.acc.iter_mut().take(bw) {
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*v = 0.0;
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}
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@@ -81,10 +122,9 @@ impl Canvas {
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for s in 0..SUB {
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let sy = py as f32 + (s as f32 + 0.5) / SUB as f32;
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xs.clear();
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for e in &edges {
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let (ya, yb) = if e[1] < e[3] { (e[1], e[3]) } else { (e[3], e[1]) };
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if sy >= ya && sy < yb {
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xs.push(e[0] + (sy - e[1]) * (e[2] - e[0]) / (e[3] - e[1]));
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for e in &active {
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if sy >= e[0] && sy < e[1] {
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xs.push(e[2] + (sy - e[3]) * (e[4] - e[2]) / (e[5] - e[3]));
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}
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}
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xs.sort_by(f32::total_cmp);
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@@ -154,6 +194,9 @@ fn rounded_rect(x: f32, y: f32, w: f32, h: f32, r: f32) -> Vec<[f32; 2]> {
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/// Thick polyline → one quad per segment (each a separate path so overlaps don't cancel).
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fn stroke_paths(pts: &[[f32; 2]], width: f32, dash: bool, closed: bool) -> Vec<Path> {
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if pts.len() > MAX_STROKE_POINTS {
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return Vec::new();
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}
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let width = width.clamp(1.0, 50.0);
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let mut segs: Vec<([f32; 2], [f32; 2])> = pts.windows(2).map(|w| (w[0], w[1])).collect();
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if closed && let (Some(a), Some(b)) = (pts.last(), pts.first()) {
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||||
@@ -212,7 +255,7 @@ pub fn rasterize(prims: &[Prim], w: u32, h: u32, background: Rgba) -> Vec<u8> {
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for _ in 0..w * h {
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buf.extend_from_slice(&background);
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}
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let mut cv = Canvas { w, h, buf, acc: Vec::new() };
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let mut cv = Canvas { w, h, buf, acc: Vec::new(), work: MAX_SCAN_WORK };
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for p in prims {
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match p {
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Prim::Rect { x, y, w, h, fill, stroke, radius } => {
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@@ -274,6 +317,40 @@ pub fn rasterize(prims: &[Prim], w: u32, h: u32, background: Rgba) -> Vec<u8> {
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mod tests {
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use super::*;
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/// Security: each row tests only the edges crossing it. A polygon of 100,000 tiny edges over
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/// 4,000 rows tested every edge at every sub-sample of every row (1.6 billion tests).
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#[test]
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fn many_short_edges_scan_only_their_rows() {
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let mut pts: Vec<[f32; 2]> = (0..100_000).map(|i| [if i % 2 == 0 { 0.0 } else { 0.5 }, i as f32 * 0.04]).collect();
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pts.push([2.0, 4_000.0]);
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pts.push([2.0, 0.0]);
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let img = rasterize(&[Prim::Polygon { pts, fill: [255, 0, 0, 255], stroke: None }], 2, 4_000, [0, 0, 0, 0]);
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// The right-hand pixel of every row is inside the polygon.
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assert_eq!(img.get(4..8), Some(&[255, 0, 0, 255][..]));
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assert_eq!(img.get(4 * (2 * 3_999 + 1)..4 * (2 * 3_999 + 2)), Some(&[255, 0, 0, 255][..]));
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}
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/// Security: scan conversion stops once the call's work allowance is spent.
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#[test]
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fn fills_stop_when_the_work_allowance_is_spent() {
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let square = vec![vec![[0.0, 0.0], [4.0, 0.0], [4.0, 4.0], [0.0, 4.0]]];
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let mut cv = Canvas { w: 4, h: 4, buf: vec![0; 64], acc: Vec::new(), work: 2 * SUB as u64 * 4 + 16 };
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cv.fill(&square, [255; 4]);
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assert!(cv.buf.iter().all(|&b| b == 255));
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cv.buf = vec![0; 64];
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cv.fill(&square, [255; 4]);
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assert!(cv.buf.iter().all(|&b| b == 0));
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}
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/// Security: a polyline over the point cap builds no segment paths at all, solid or dashed.
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#[test]
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fn oversized_polylines_build_no_segment_paths() {
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let line = |n: usize| -> Vec<[f32; 2]> { (0..n).map(|i| [i as f32, (i % 2) as f32]).collect() };
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assert!(stroke_paths(&line(MAX_STROKE_POINTS + 1), 1.0, false, false).is_empty());
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assert!(stroke_paths(&line(MAX_STROKE_POINTS + 1), 1.0, true, false).is_empty());
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assert_eq!(stroke_paths(&line(MAX_STROKE_POINTS), 1.0, false, false).len(), MAX_STROKE_POINTS - 1);
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}
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#[test]
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fn dashed_geometry_stays_within_the_dash_budget() {
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// Forty very long dashed lines, each allowed 10_000 dashes per segment: before the
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@@ -136,7 +136,13 @@ pub(super) fn decimate_area(top: Vec<[f32; 2]>, base: Vec<[f32; 2]>, max: usize)
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/// Draws a polyline split at gaps (`None`), decimated when long. With `smooth` (the plot box),
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/// each run is interpolated with a Catmull-Rom spline so the line curves through the data points.
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///
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/// The points of the smoothed runs (data points included) are budgeted across all the runs of the line, not per run:
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/// short runs between gaps escape decimation, and 100 sub-segments each would turn a
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/// 100,000-point series of three-point runs into millions of points. Past the budget the
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/// remaining runs are drawn through their data points only.
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pub(super) fn draw_runs(ctx: &mut Ctx, pts: &[Option<[f32; 2]>], color: Rgba, width: f32, smooth: Option<Bx>) {
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let mut budget = MAX_LINE_PTS * 2;
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let mut run: Vec<[f32; 2]> = Vec::new();
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for p in pts.iter().chain(std::iter::once(&None)) {
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match p {
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@@ -145,7 +151,11 @@ pub(super) fn draw_runs(ctx: &mut Ctx, pts: &[Option<[f32; 2]>], color: Rgba, wi
|
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if run.len() >= 2 {
|
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let r = decimate(std::mem::take(&mut run), MAX_LINE_PTS);
|
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let r = match smooth {
|
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Some(plot) => smooth_run(r, plot),
|
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Some(plot) => {
|
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let r = smooth_run(r, plot, budget);
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budget = budget.saturating_sub(r.len());
|
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r
|
||||
}
|
||||
None => r,
|
||||
};
|
||||
ctx.line(r, color, width);
|
||||
@@ -158,15 +168,15 @@ pub(super) fn draw_runs(ctx: &mut Ctx, pts: &[Option<[f32; 2]>], color: Rgba, wi
|
||||
}
|
||||
|
||||
/// Catmull-Rom spline through `pts`: every segment gets the same number of sub-segments (up to
|
||||
/// 100), chosen so the whole curve stays within `MAX_LINE_PTS * 2` points. Endpoints are
|
||||
/// 100), chosen so the whole curve stays within `cap` points (one per data point when `cap` is
|
||||
/// smaller than that). Endpoints are
|
||||
/// duplicated so the curve passes through the first and last points, and the curve is clamped
|
||||
/// to the `plot` box (a spline overshoots its data near sharp turns).
|
||||
fn smooth_run(pts: Vec<[f32; 2]>, plot: Bx) -> Vec<[f32; 2]> {
|
||||
fn smooth_run(pts: Vec<[f32; 2]>, plot: Bx, cap: usize) -> Vec<[f32; 2]> {
|
||||
let n = pts.len();
|
||||
if n < 3 {
|
||||
return pts;
|
||||
}
|
||||
let cap = MAX_LINE_PTS * 2;
|
||||
let steps = (cap / n).clamp(1, 100);
|
||||
let mut out: Vec<[f32; 2]> = Vec::with_capacity(n.saturating_mul(steps).min(cap) + 1);
|
||||
let at = |i: isize| -> [f32; 2] {
|
||||
@@ -219,7 +229,7 @@ mod smooth_tests {
|
||||
fn long_runs_are_smoothed_uniformly_within_the_cap() {
|
||||
let plot = Bx { x: 0.0, y: 0.0, w: 3000.0, h: 100.0 };
|
||||
let pts: Vec<[f32; 2]> = (0..1500).map(|i| [i as f32 * 2.0, if i % 2 == 0 { 20.0 } else { 80.0 }]).collect();
|
||||
let out = smooth_run(pts, plot);
|
||||
let out = smooth_run(pts, plot, MAX_LINE_PTS * 2);
|
||||
assert!(out.len() <= MAX_LINE_PTS * 2 + 1, "{}", out.len());
|
||||
// Two sub-segments per segment all the way to the end, not 100 each and then a straight tail.
|
||||
assert_eq!(out.len(), 1499 * 2 + 1);
|
||||
@@ -231,11 +241,29 @@ mod smooth_tests {
|
||||
let plot = Bx { x: 0.0, y: 10.0, w: 300.0, h: 100.0 };
|
||||
// A step right at the plot edges: Catmull-Rom overshoots past both.
|
||||
let pts = vec![[0.0, 110.0], [100.0, 110.0], [110.0, 10.0], [200.0, 10.0], [300.0, 10.0]];
|
||||
let out = smooth_run(pts, plot);
|
||||
let out = smooth_run(pts, plot, MAX_LINE_PTS * 2);
|
||||
assert!(out.len() > 5);
|
||||
assert!(out.iter().all(|p| (0.0..=300.0).contains(&p[0]) && (10.0..=110.0).contains(&p[1])));
|
||||
}
|
||||
|
||||
/// Security: smoothing budgets its added points across every run of a line. A series of
|
||||
/// three-point runs between gaps used to get 100 sub-segments per run, 67 times its data.
|
||||
#[test]
|
||||
fn gap_separated_runs_share_one_smoothing_budget() {
|
||||
let plot = Bx { x: 0.0, y: 0.0, w: 1e6, h: 100.0 };
|
||||
let pts: Vec<Option<[f32; 2]>> =
|
||||
(0..100_000).map(|i| if i % 4 == 3 { None } else { Some([i as f32, if i % 2 == 0 { 20.0 } else { 80.0 }]) }).collect();
|
||||
let m = crate::ApproxMeasure;
|
||||
let mut ctx = Ctx { out: Vec::new(), m: &m };
|
||||
draw_runs(&mut ctx, &pts, WHITE, 1.0, Some(plot));
|
||||
let total: usize = ctx.out.iter().map(|p| if let Prim::Line { pts, .. } = p { pts.len() } else { 0 }).sum();
|
||||
// 75,000 data points, plus at most the budget added by interpolation.
|
||||
assert!(total <= 75_000 + MAX_LINE_PTS * 2, "{total}");
|
||||
assert_eq!(ctx.out.len(), 25_000);
|
||||
// The first runs are still smoothed.
|
||||
assert!(matches!(ctx.out.first(), Some(Prim::Line { pts, .. }) if pts.len() > 3));
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn decimate_area_preserves_paired_vertical_strips() {
|
||||
let top: Vec<[f32; 2]> = (0..1000).map(|i| [i as f32 * 0.25, ((i * 37) % 100) as f32]).collect();
|
||||
|
||||
+103
-16
@@ -184,6 +184,53 @@ fn value_text(v: &Value) -> String {
|
||||
}
|
||||
}
|
||||
|
||||
/// Characters kept of one category label: an axis label never shows more (labels are fitted to
|
||||
/// the axis), and copying more only costs memory.
|
||||
const MAX_LABEL_CHARS: usize = 255;
|
||||
/// Bytes of category label text kept per series. One long text broadcast by a short formula
|
||||
/// (`IF(SEQUENCE(100000), long_text)`) is a single shared value, but turning every element into
|
||||
/// its own label copied it 100,000 times (gigabytes). Labels past the budget are empty.
|
||||
const MAX_CATEGORY_BYTES: usize = 8 << 20;
|
||||
|
||||
/// At most [`MAX_LABEL_CHARS`] characters and `room` bytes of `s`, cut at a character boundary.
|
||||
fn clip_label(s: &str, room: usize) -> String {
|
||||
let mut end = 0;
|
||||
for (n, (i, c)) in s.char_indices().enumerate() {
|
||||
if n >= MAX_LABEL_CHARS || i + c.len_utf8() > room {
|
||||
break;
|
||||
}
|
||||
end = i + c.len_utf8();
|
||||
}
|
||||
s.get(..end).unwrap_or_default().to_string()
|
||||
}
|
||||
|
||||
/// The label of category `i` (value `v`) in at most `room` bytes: formatted with its source
|
||||
/// cell's number format when it is a number.
|
||||
fn category_label(wb: &Workbook, src: Option<(&gridcraft_model::Sheet, RangeRef)>, i: usize, v: &Value, room: usize) -> String {
|
||||
if room == 0 {
|
||||
return String::new(); // nothing fits: skip the number formatting
|
||||
}
|
||||
if let (Some((s, r)), Value::Number(_)) = (src, v) {
|
||||
let w = r.width().max(1) as usize;
|
||||
let at = r.start.offset((i / w) as i64, (i % w) as i64);
|
||||
if let Some(c) = at {
|
||||
let code = &wb.styles.get(s.style_id(c)).num_fmt.0;
|
||||
if !code.eq_ignore_ascii_case("general") {
|
||||
return clip_label(&format_value(v, &NumberFormat::parse_cached(code), wb.date_system).text, room);
|
||||
}
|
||||
}
|
||||
}
|
||||
// Text is clipped before it is copied: the source may be one long shared string.
|
||||
let mut v = v;
|
||||
while let Value::Array(a) = v {
|
||||
v = a.get(0, 0).unwrap_or(&Value::Empty);
|
||||
}
|
||||
match v {
|
||||
Value::Text(t) => clip_label(t, room),
|
||||
_ => clip_label(&value_text(v), room),
|
||||
}
|
||||
}
|
||||
|
||||
/// Category labels, formatted with each source cell's number format (dates, currency…), and
|
||||
/// the outer levels of a multi-level axis: a category range wider than a column of values (or
|
||||
/// taller than a row of values) groups its innermost labels, year beside month. Each outer level
|
||||
@@ -221,29 +268,29 @@ fn category_table(wb: &Workbook, sheet: usize, formula: &str, values: &str, limi
|
||||
None => eval_list_in(wb, sheet, formula, limit, 0),
|
||||
};
|
||||
let src = cells.and_then(|(sh, r)| wb.sheet(sh).map(|s| (s, r)));
|
||||
// The retained levels are known before any label is charged: a cell on a discarded level
|
||||
// gets no label and spends none of the budget. `None`: a flat list (every cell is a label).
|
||||
let layout = src.and_then(|(_, r)| {
|
||||
let levels = levels?;
|
||||
let (w, h) = (r.width().max(1) as usize, r.height().max(1) as usize);
|
||||
(vals.len() == w.saturating_mul(h)).then_some((levels, w, h)) // else truncated or not a plain block
|
||||
});
|
||||
let kept =
|
||||
|i: usize| layout.is_none_or(|(l, w, h)| if l.by_columns { i % w + 1 + l.outer as usize >= w } else { i / w + 1 + l.outer as usize >= h });
|
||||
let mut room = MAX_CATEGORY_BYTES;
|
||||
let texts: Vec<String> = vals
|
||||
.iter()
|
||||
.enumerate()
|
||||
.map(|(i, v)| {
|
||||
if let (Some((s, r)), Value::Number(_)) = (src, v) {
|
||||
let w = r.width().max(1) as usize;
|
||||
let at = r.start.offset((i / w) as i64, (i % w) as i64);
|
||||
if let Some(c) = at {
|
||||
let code = &wb.styles.get(s.style_id(c)).num_fmt.0;
|
||||
if !code.eq_ignore_ascii_case("general") {
|
||||
return format_value(v, &NumberFormat::parse_cached(code), wb.date_system).text;
|
||||
}
|
||||
}
|
||||
if !kept(i) {
|
||||
return String::new();
|
||||
}
|
||||
value_text(v)
|
||||
let label = category_label(wb, src, i, v, room);
|
||||
room = room.saturating_sub(label.len());
|
||||
label
|
||||
})
|
||||
.collect();
|
||||
let Some((_, r)) = src else { return (texts, vec![]) };
|
||||
let Some(levels) = levels else { return (texts, vec![]) };
|
||||
let (w, h) = (r.width().max(1) as usize, r.height().max(1) as usize);
|
||||
if texts.len() != w.saturating_mul(h) {
|
||||
return (texts, vec![]); // truncated or not a plain block: a flat list
|
||||
}
|
||||
let Some((levels, w, h)) = layout else { return (texts, vec![]) };
|
||||
let at = |row: usize, col: usize| texts.get(row * w + col).cloned().unwrap_or_default();
|
||||
let column = |c: usize| (0..h).map(|row| at(row, c)).collect::<Vec<String>>();
|
||||
let row = |rr: usize| (0..w).map(|c| at(rr, c)).collect::<Vec<String>>();
|
||||
@@ -369,6 +416,46 @@ pub fn resolve(wb: &Workbook, sheet: usize, chart: &Chart) -> ChartData {
|
||||
ChartData { categories, category_levels, series, palette }
|
||||
}
|
||||
|
||||
#[cfg(test)]
|
||||
mod label_budget_tests {
|
||||
use gridcraft_model::Workbook;
|
||||
|
||||
/// Security: category labels are clipped before they are copied, with one byte budget per
|
||||
/// series. A formula broadcasting one long text to 100,000 categories used to copy it
|
||||
/// 100,000 times (3.3 GB).
|
||||
#[test]
|
||||
fn category_labels_share_one_byte_budget() {
|
||||
let wb = Workbook::new();
|
||||
let (texts, _) = super::category_table(&wb, 0, r#"=IF(SEQUENCE(100000),REPT("x",32767))"#, "", super::MAX_POINTS);
|
||||
assert_eq!(texts.len(), 100_000);
|
||||
assert_eq!(texts.first().map(String::len), Some(super::MAX_LABEL_CHARS));
|
||||
assert!(texts.iter().map(String::len).sum::<usize>() <= super::MAX_CATEGORY_BYTES);
|
||||
// Labels are cut at character boundaries.
|
||||
assert_eq!(super::clip_label("aé", 2), "a");
|
||||
assert_eq!(super::clip_label("aé", 3), "aé");
|
||||
}
|
||||
|
||||
/// Cells on discarded outer levels (only the innermost labels and three outer levels are
|
||||
/// kept) spend none of the byte budget.
|
||||
#[test]
|
||||
fn discarded_levels_do_not_spend_the_label_budget() {
|
||||
let mut wb = Workbook::new();
|
||||
let rows = 8000u32;
|
||||
if let Some(sh) = wb.sheet_mut(0) {
|
||||
for r in 0..rows {
|
||||
for c in 0..5 {
|
||||
sh.set_value(gridcraft_core::CellRef::new(r, c), gridcraft_core::Value::text("x".repeat(255)));
|
||||
}
|
||||
}
|
||||
}
|
||||
// Five columns: column A is a fourth outer level and is discarded.
|
||||
let (inner, outer) = super::category_table(&wb, 0, "=A1:E8000", "", super::MAX_POINTS);
|
||||
assert_eq!(outer.len(), 3);
|
||||
assert_eq!(inner.last().map(String::len), Some(super::MAX_LABEL_CHARS));
|
||||
assert_eq!(outer.first().and_then(|l| l.last()).map(String::len), Some(super::MAX_LABEL_CHARS));
|
||||
}
|
||||
}
|
||||
|
||||
#[cfg(test)]
|
||||
mod tests {
|
||||
use gridcraft_model::Workbook;
|
||||
|
||||
@@ -147,10 +147,10 @@ impl RangeRef {
|
||||
RangeRef::new(CellRef::new(0, 0), CellRef::new(MAX_ROWS - 1, MAX_COLS - 1))
|
||||
}
|
||||
pub fn height(&self) -> u32 {
|
||||
self.end.row.saturating_sub(self.start.row).saturating_add(1)
|
||||
self.end.row - self.start.row + 1
|
||||
}
|
||||
pub fn width(&self) -> u32 {
|
||||
self.end.col.saturating_sub(self.start.col).saturating_add(1)
|
||||
self.end.col - self.start.col + 1
|
||||
}
|
||||
pub fn count(&self) -> u64 {
|
||||
self.height() as u64 * self.width() as u64
|
||||
@@ -321,13 +321,6 @@ pub fn split_areas(reference: &str) -> Vec<&str> {
|
||||
mod tests {
|
||||
use super::*;
|
||||
|
||||
#[test]
|
||||
fn hostile_range_dimensions_saturate_instead_of_wrapping() {
|
||||
let r = RangeRef { start: CellRef::new(0, 0), end: CellRef::new(u32::MAX, u32::MAX) };
|
||||
assert_eq!((r.height(), r.width()), (u32::MAX, u32::MAX));
|
||||
assert_eq!(r.count(), u64::from(u32::MAX) * u64::from(u32::MAX));
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn areas_split_only_at_commas_outside_quoted_sheet_names() {
|
||||
assert_eq!(split_areas("B2:B4,D1"), ["B2:B4", "D1"]);
|
||||
|
||||
@@ -366,6 +366,10 @@ pub struct Ctx<'a> {
|
||||
pub wb: Workbook,
|
||||
pub changed: Vec<Key>,
|
||||
pub structural: bool,
|
||||
/// Recalculate every formula without the other effects of `structural` (table headers are not
|
||||
/// resynchronized, array formulas are still checked): for edits that change only what a
|
||||
/// function reads, like sheet protection.
|
||||
pub recalc_all: bool,
|
||||
pub sel: &'a mut Selection,
|
||||
/// Rows whose automatic height should be recomputed (sheet, row).
|
||||
pub fit_rows: Vec<(usize, u32)>,
|
||||
@@ -400,13 +404,14 @@ pub(crate) fn commit<R>(d: &mut DocState, f: impl FnOnce(&mut Ctx) -> Result<R>)
|
||||
wb: (*d.wb).clone(),
|
||||
changed: Vec::new(),
|
||||
structural: false,
|
||||
recalc_all: false,
|
||||
sel: &mut sel,
|
||||
fit_rows: Vec::new(),
|
||||
protection_checked: false,
|
||||
edits: Vec::new(),
|
||||
};
|
||||
let r = f(&mut ctx)?;
|
||||
let Ctx { mut wb, mut changed, structural, mut fit_rows, protection_checked, edits, .. } = ctx;
|
||||
let Ctx { mut wb, mut changed, structural, recalc_all, mut fit_rows, protection_checked, edits, .. } = ctx;
|
||||
// Equations whose source changed (or that arrived without a layout, as from a paste) are
|
||||
// laid out here, so painting only ever reads the cache.
|
||||
wb.refresh_equations();
|
||||
@@ -435,7 +440,7 @@ pub(crate) fn commit<R>(d: &mut DocState, f: impl FnOnce(&mut Ctx) -> Result<R>)
|
||||
if let Some(t0) = t0 {
|
||||
eprintln!("commit: edit {:?}, {} changed", since(t0), changed.len());
|
||||
}
|
||||
if structural {
|
||||
if structural || recalc_all {
|
||||
d.calc.recalc_all(&mut wb);
|
||||
} else if !changed.is_empty() {
|
||||
d.calc.cells_changed(&mut wb, &changed);
|
||||
|
||||
@@ -152,26 +152,32 @@ fn input_range(s: &Session, p: &Json, keys: &[&str]) -> Result<(usize, RangeRef)
|
||||
/// Splits a range into variables (columns, or rows when `by_rows`); with `labels` the first
|
||||
/// cell of each names it, else `default(i)` does.
|
||||
fn variables(s: &Session, si: usize, r: RangeRef, by_rows: bool, labels: bool, default: &dyn Fn(usize) -> String) -> Result<Vec<Var>> {
|
||||
let d = s.doc()?;
|
||||
let sh = d.wb.sheet(si).ok_or(EngineError::NoDocument)?;
|
||||
let (outer, inner) = if by_rows { (r.height(), r.width()) } else { (r.width(), r.height()) };
|
||||
let outer = if by_rows { r.height() } else { r.width() };
|
||||
let mut out = Vec::with_capacity(outer as usize);
|
||||
for i in 0..outer {
|
||||
let cell = |j: u32| if by_rows { CellRef::new(r.start.row + i, r.start.col + j) } else { CellRef::new(r.start.row + j, r.start.col + i) };
|
||||
let mut vals: Vec<Value> = (0..inner).map(|j| sh.value(cell(j))).collect();
|
||||
let mut name = default(i as usize);
|
||||
if labels && !vals.is_empty() {
|
||||
let first = vals.remove(0);
|
||||
let t = first.display();
|
||||
if !t.trim().is_empty() {
|
||||
name = t;
|
||||
}
|
||||
}
|
||||
out.push(Var { name, vals });
|
||||
out.push(variable(s, si, r, by_rows, labels, default, i)?);
|
||||
}
|
||||
Ok(out)
|
||||
}
|
||||
|
||||
/// Variable `i` of [`variables`], read alone so a caller that may stop early needn't build them all.
|
||||
fn variable(s: &Session, si: usize, r: RangeRef, by_rows: bool, labels: bool, default: &dyn Fn(usize) -> String, i: u32) -> Result<Var> {
|
||||
let d = s.doc()?;
|
||||
let sh = d.wb.sheet(si).ok_or(EngineError::NoDocument)?;
|
||||
let inner = if by_rows { r.width() } else { r.height() };
|
||||
let cell = |j: u32| if by_rows { CellRef::new(r.start.row + i, r.start.col + j) } else { CellRef::new(r.start.row + j, r.start.col + i) };
|
||||
let mut vals: Vec<Value> = (0..inner).map(|j| sh.value(cell(j))).collect();
|
||||
let mut name = default(i as usize);
|
||||
if labels && !vals.is_empty() {
|
||||
let first = vals.remove(0);
|
||||
let t = first.display();
|
||||
if !t.trim().is_empty() {
|
||||
name = t;
|
||||
}
|
||||
}
|
||||
Ok(Var { name, vals })
|
||||
}
|
||||
|
||||
/// The numbers of a variable; blanks are skipped when `skip_blank`, anything else that isn't a
|
||||
/// number is an error.
|
||||
fn numbers(v: &[Value], skip_blank: bool) -> Result<Vec<f64>> {
|
||||
@@ -272,11 +278,25 @@ struct Grid {
|
||||
cells: BTreeMap<(u32, u32), Value>,
|
||||
/// Cells shown as percentages.
|
||||
pct: Vec<(u32, u32)>,
|
||||
/// Rows and columns spanned by `cells`.
|
||||
rows: u32,
|
||||
cols: u32,
|
||||
/// A cell was dropped because the report outgrew [`MAX_OUTPUT_CELLS`]: the report is refused.
|
||||
too_large: bool,
|
||||
}
|
||||
|
||||
impl Grid {
|
||||
/// Stores a value. Past [`MAX_OUTPUT_CELLS`] (the most a report writes) nothing more is kept,
|
||||
/// so a builder that would produce millions of entries stops allocating them, and
|
||||
/// [`write_report`] refuses the report.
|
||||
fn put(&mut self, r: u32, c: u32, v: Value) {
|
||||
if !v.is_empty() {
|
||||
let (rows, cols) = (self.rows.max(r.saturating_add(1)), self.cols.max(c.saturating_add(1)));
|
||||
if self.too_large || u64::from(rows) * u64::from(cols) > MAX_OUTPUT_CELLS {
|
||||
self.too_large = true;
|
||||
return;
|
||||
}
|
||||
(self.rows, self.cols) = (rows, cols);
|
||||
self.cells.insert((r, c), v);
|
||||
}
|
||||
}
|
||||
@@ -296,9 +316,7 @@ impl Grid {
|
||||
}
|
||||
/// (rows, cols) spanned.
|
||||
fn extent(&self) -> (u32, u32) {
|
||||
let rows = self.cells.keys().map(|(r, _)| r + 1).max().unwrap_or(0);
|
||||
let cols = self.cells.keys().map(|(_, c)| c + 1).max().unwrap_or(0);
|
||||
(rows, cols)
|
||||
(self.rows, self.cols)
|
||||
}
|
||||
}
|
||||
|
||||
@@ -310,7 +328,7 @@ fn idx(i: usize) -> u32 {
|
||||
|
||||
fn descriptive(s: &Session, p: &Json) -> Result<Grid> {
|
||||
let (si, r) = input_range(s, p, &["range", "input"])?;
|
||||
let vars = variables(s, si, r, by_rows(p), flag(p, "labels"), &|i| format!("Column{}", i + 1))?;
|
||||
let (by_rows, labels) = (by_rows(p), flag(p, "labels"));
|
||||
let summary = p.get("summary").map(|_| flag(p, "summary")).unwrap_or(true);
|
||||
let conf = confidence(p, "confidence")?;
|
||||
let kl = num(p, "kthLargest").filter(|k| *k >= 1.0).map(|k| k as usize);
|
||||
@@ -319,7 +337,14 @@ fn descriptive(s: &Session, p: &Json) -> Result<Grid> {
|
||||
return Err(bad(CMD, "choose at least one of summary, confidence, kthLargest or kthSmallest"));
|
||||
}
|
||||
let mut g = Grid::default();
|
||||
for (i, v) in vars.iter().enumerate() {
|
||||
// Variables are read one at a time: a million-row range grouped by rows is a million variables.
|
||||
for i in 0..(if by_rows { r.height() } else { r.width() }) {
|
||||
// The report is refused once the grid is too large: the rest would only build discarded labels.
|
||||
if g.too_large {
|
||||
break;
|
||||
}
|
||||
let v = variable(s, si, r, by_rows, labels, &|i| format!("Column{}", i + 1), i)?;
|
||||
let i = i as usize;
|
||||
let x = numbers(&v.vals, true)?;
|
||||
let c = idx(i).saturating_mul(2);
|
||||
g.txt(0, c, &v.name);
|
||||
@@ -1749,7 +1774,7 @@ fn sampling(s: &Session, p: &Json, seed: Option<u64>) -> Result<Grid> {
|
||||
fn write_report(s: &mut Session, p: &Json, tool: &str, g: Grid) -> Result<Json> {
|
||||
let (rows, cols) = g.extent();
|
||||
let (rows, cols) = (rows.max(1), cols.max(1));
|
||||
if u64::from(rows) * u64::from(cols) > MAX_OUTPUT_CELLS {
|
||||
if g.too_large || u64::from(rows) * u64::from(cols) > MAX_OUTPUT_CELLS {
|
||||
return Err(bad(CMD, "the report is too large"));
|
||||
}
|
||||
let d = s.doc()?;
|
||||
@@ -1914,6 +1939,28 @@ mod tests {
|
||||
x
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn a_report_stops_growing_past_the_output_limit() {
|
||||
// Entries past the limit are not kept, and the report is refused.
|
||||
let mut g = super::Grid::default();
|
||||
g.num(1999, 1999, 1.0);
|
||||
assert!(!g.too_large);
|
||||
g.num(0, 2000, 1.0);
|
||||
assert!(g.too_large);
|
||||
assert_eq!(g.cells.len(), 1);
|
||||
assert_eq!(g.extent(), (2000, 2000));
|
||||
// Row-grouped statistics of a tall, almost empty column: one variable per row would make
|
||||
// millions of report entries; the report is refused instead of built.
|
||||
let mut s = s();
|
||||
s.execute("range.setValues", json!({"range": "A1", "values": [[1]]})).unwrap();
|
||||
s.execute("range.setValues", json!({"range": "A1000000", "values": [[2]]})).unwrap();
|
||||
let err = s
|
||||
.execute("data.analysisToolPak", json!({"tool": "descriptive", "range": "A1:A1000000", "groupedBy": "rows", "output": "C1"}))
|
||||
.expect_err("report too large");
|
||||
assert!(err.to_string().contains("too large"), "{err}");
|
||||
assert_eq!(v(&s, "C1"), Value::Empty);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn forecast_standard_errors_match_the_full_window_rescan() {
|
||||
// #1043: the running sum must give what re-adding every window gave, gaps included.
|
||||
|
||||
@@ -184,8 +184,7 @@ pub(crate) fn grow_autofilter(sh: &mut Sheet, at: CellRef) {
|
||||
pub(crate) fn apply_filter(wb: &mut Workbook, sheet: usize) {
|
||||
let Some(sh) = wb.sheet(sheet) else { return };
|
||||
let Some(af) = sh.autofilter.clone() else { return };
|
||||
// An imported range can name rows past the grid; none of those exist to hide.
|
||||
let r = RangeRef::new(af.range.start, CellRef::new(af.range.end.row.min(gridcraft_core::MAX_ROWS - 1), af.range.end.col));
|
||||
let r = af.range;
|
||||
let mut hide = Vec::new();
|
||||
// Precompute per-criterion top10 threshold and average once, not per row.
|
||||
let mut col_stats: std::collections::HashMap<usize, (Option<f64>, f64)> = std::collections::HashMap::new();
|
||||
|
||||
@@ -5,9 +5,6 @@ use super::{
|
||||
|
||||
// ---------------------------------------------------------------- tools
|
||||
|
||||
/// Most cells (rows times compared columns) one Remove Duplicates call reads.
|
||||
const MAX_COMPARED_CELLS: u64 = 50_000_000;
|
||||
|
||||
pub(super) fn remove_duplicates(s: &mut Session, p: &Json) -> Result<Json> {
|
||||
let (sheet, r) = data_target(s, p, "data.removeDuplicates")?;
|
||||
let d = s.doc()?;
|
||||
@@ -27,10 +24,6 @@ pub(super) fn remove_duplicates(s: &mut Session, p: &Json) -> Result<Json> {
|
||||
if cols.is_empty() || cols.iter().any(|c| !(r.start.col..=r.end.col).contains(c)) {
|
||||
return Err(bad("data.removeDuplicates", "`columns` must name at least one column of the range"));
|
||||
}
|
||||
// Rows are compared one by one, so a sparse sheet's enclosing rectangle is bounded like a list.
|
||||
if r.count() > MAX_COMPARED_CELLS {
|
||||
return Err(bad("data.removeDuplicates", "the range is too large"));
|
||||
}
|
||||
let start = r.start.row + header as u32;
|
||||
let mut removed = 0;
|
||||
edit(s, |cx| {
|
||||
|
||||
@@ -337,14 +337,11 @@ pub(super) fn circle_invalid(s: &mut Session, _: &Json) -> Result<Json> {
|
||||
let sheet = d.wb.active_sheet();
|
||||
let Some(sh) = d.wb.sheet(sheet) else { return Err(EngineError::NoDocument) };
|
||||
let mut bad_cells = Vec::new();
|
||||
// One scan allowance for the whole command: duplicate or overlapping ranges don't multiply it.
|
||||
let mut budget = 100_000usize;
|
||||
for dv in &sh.validations {
|
||||
for r in &dv.ranges {
|
||||
let r = sh.used_range().and_then(|u| r.intersection(&u));
|
||||
let Some(r) = r else { continue };
|
||||
for c in r.iter().take(budget) {
|
||||
budget -= 1;
|
||||
for c in r.iter().take(100_000) {
|
||||
let text = sh.input_text(c);
|
||||
if !text.is_empty() && check_validation(&d.wb, sheet, c, &text).is_some() {
|
||||
bad_cells.push(c.a1());
|
||||
|
||||
@@ -14,8 +14,13 @@ fn matches(hay: &str, what: &str, case: bool, whole: bool) -> bool {
|
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}
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/// `*`/`?` wildcard match with `~` escapes.
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///
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/// The pattern runs as a bit-parallel automaton over the text: one pass, each character costing
|
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/// one step per 64 pattern positions. Backtracking to the last `*` after a mismatch rescans the
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/// text and costs text × pattern comparisons on a long, repetitive cell, for every cell a
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/// filter or Find visits.
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pub(crate) fn wildcard(text: &str, pat: &str) -> bool {
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let t: Vec<char> = text.chars().collect();
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// The pattern as (character, escaped) items, runs of `*` folded into one.
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let mut p: Vec<(char, bool)> = Vec::new();
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let mut it = pat.chars();
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while let Some(c) = it.next() {
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@@ -23,32 +28,85 @@ pub(crate) fn wildcard(text: &str, pat: &str) -> bool {
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if let Some(n) = it.next() {
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p.push((n, true));
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}
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} else {
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} else if c != '*' || p.last() != Some(&('*', false)) {
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p.push((c, false));
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}
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}
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let (mut ti, mut pi) = (0usize, 0usize);
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let (mut star, mut mark) = (None, 0usize);
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while ti < t.len() {
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if pi < p.len() && (p[pi] == ('?', false) || (p[pi].0 == t[ti] && p[pi] != ('*', false))) {
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ti += 1;
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pi += 1;
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} else if pi < p.len() && p[pi] == ('*', false) {
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star = Some(pi);
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mark = ti;
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pi += 1;
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} else if let Some(sp) = star {
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pi = sp + 1;
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mark += 1;
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ti = mark;
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} else {
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return false;
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let words = (p.len() + 1).div_ceil(64);
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let bit = |set: &mut [u64], i: usize| set[i / 64] |= 1 << (i % 64);
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// Positions holding a `*` and a `?`, and where each literal character sits in the pattern.
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let mut stars = vec![0u64; words];
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let mut any = vec![0u64; words];
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let mut at: std::collections::HashMap<char, Vec<usize>> = std::collections::HashMap::new();
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for (i, item) in p.iter().enumerate() {
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match item {
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('*', false) => bit(&mut stars, i),
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('?', false) => bit(&mut any, i),
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(c, _) => at.entry(*c).or_default().push(i),
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}
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}
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while pi < p.len() && p[pi] == ('*', false) {
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pi += 1;
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// A literal's bit mask is built when the text first reads it, and kept for at most
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// `MAX_CACHED_MASKS` literals: a long pattern of mostly distinct characters would otherwise
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// allocate a mask of the pattern's width for each one up front. When there are more literals
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// than that, the ones kept are those at the most pattern positions (the dearest to rebuild);
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// each of the rest has at most pattern length / `MAX_CACHED_MASKS` positions, so rebuilding
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// its mask in `scratch` costs less than one step of the scan.
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const MAX_CACHED_MASKS: usize = 256;
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let cacheable: Option<std::collections::HashSet<char>> = (at.len() > MAX_CACHED_MASKS).then(|| {
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let mut by_count: Vec<(&char, usize)> = at.iter().map(|(c, v)| (c, v.len())).collect();
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by_count.sort_unstable_by_key(|&(_, n)| std::cmp::Reverse(n));
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by_count.into_iter().take(MAX_CACHED_MASKS).map(|(c, _)| *c).collect()
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});
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let mut masks: std::collections::HashMap<char, Vec<u64>> = std::collections::HashMap::new();
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let mut scratch = vec![0u64; words];
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// A set bit i: the text read so far matches the first i pattern items. A `*` matches nothing
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// as well, so a state at a `*` is also at the item after it.
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let close = |set: &mut Vec<u64>| {
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let mut carry = 0u64;
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for w in 0..words {
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let s = set[w] & stars[w];
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let next = (s << 1) | carry;
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carry = s >> 63;
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set[w] |= next;
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}
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};
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let mut state = vec![0u64; words];
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bit(&mut state, 0);
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close(&mut state);
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let mut next = vec![0u64; words];
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for ch in text.chars() {
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let lit: Option<&[u64]> = match at.get(&ch) {
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None => None,
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Some(positions) if cacheable.as_ref().is_none_or(|k| k.contains(&ch)) => {
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let mask = masks.entry(ch).or_insert_with(|| {
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let mut m = vec![0u64; words];
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positions.iter().for_each(|&i| bit(&mut m, i));
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m
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||||
});
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Some(mask)
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}
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Some(positions) => {
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scratch.fill(0);
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positions.iter().for_each(|&i| bit(&mut scratch, i));
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Some(&scratch)
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}
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||||
};
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let mut carry = 0u64;
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let mut alive = 0u64;
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||||
for w in 0..words {
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// Items that read `ch` advance; a `*` reads it and stays.
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let m = state[w] & (any[w] | lit.map_or(0, |l| l[w]));
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next[w] = (m << 1) | carry | (state[w] & stars[w]);
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||||
carry = m >> 63;
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||||
alive |= next[w];
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||||
}
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if alive == 0 {
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||||
return false;
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||||
}
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std::mem::swap(&mut state, &mut next);
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close(&mut state);
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||||
}
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pi == p.len()
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state[p.len() / 64] & (1 << (p.len() % 64)) != 0
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}
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pub(super) fn find(s: &mut Session, p: &Json) -> Result<Json> {
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@@ -141,11 +199,7 @@ pub(super) fn replace(s: &mut Session, p: &Json) -> Result<Json> {
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let mut total = 0usize;
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for si in sheets {
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let cells: Vec<(CellRef, String)> =
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// A hidden formula's source is not searched: a count or error would reveal its text.
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cx.wb
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.sheet(si)
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.map(|sh| sh.cells.iter().filter(|(c, _)| !crate::display::formula_hidden(&cx.wb, sh, *c)).map(|(c, _)| (c, sh.input_text(c))).collect())
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.unwrap_or_default();
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cx.wb.sheet(si).map(|sh| sh.cells.iter().map(|(c, _)| (c, sh.input_text(c))).collect()).unwrap_or_default();
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for (c, text) in cells {
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if (!all && c != active) || selection.as_ref().is_some_and(|sel| !sel.contains(c)) {
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continue;
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@@ -324,6 +324,103 @@ fn wildcards() {
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assert!(wildcard("", "*"));
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}
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/// The backtracking matcher `wildcard` replaced, as the reference for its results.
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fn wildcard_backtracking(text: &str, pat: &str) -> bool {
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let t: Vec<char> = text.chars().collect();
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let mut p: Vec<(char, bool)> = Vec::new();
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let mut it = pat.chars();
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while let Some(c) = it.next() {
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if c == '~' {
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if let Some(n) = it.next() {
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p.push((n, true));
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}
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} else {
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p.push((c, false));
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}
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||||
}
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||||
let (mut ti, mut pi) = (0usize, 0usize);
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let (mut star, mut mark) = (None, 0usize);
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while ti < t.len() {
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if pi < p.len() && (p[pi] == ('?', false) || (p[pi].0 == t[ti] && p[pi] != ('*', false))) {
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ti += 1;
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pi += 1;
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} else if pi < p.len() && p[pi] == ('*', false) {
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||||
star = Some(pi);
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||||
mark = ti;
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pi += 1;
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} else if let Some(sp) = star {
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||||
pi = sp + 1;
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mark += 1;
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ti = mark;
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} else {
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||||
return false;
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||||
}
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||||
}
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while pi < p.len() && p[pi] == ('*', false) {
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pi += 1;
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}
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||||
pi == p.len()
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}
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#[test]
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fn wildcard_agrees_with_backtracking() {
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// Every text up to 5 characters over a small alphabet against every pattern up to 4 items.
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let alphabet = ['a', 'b', '*', '?', '~'];
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let all = |n: usize, chars: &[char]| -> Vec<String> {
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let mut out = vec![String::new()];
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let mut level = vec![String::new()];
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for _ in 0..n {
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level = level.iter().flat_map(|s| chars.iter().map(move |c| format!("{s}{c}"))).collect();
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out.extend(level.iter().cloned());
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}
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out
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};
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let texts = all(5, &['a', 'b', '*']);
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for pat in all(4, &alphabet) {
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for text in &texts {
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assert_eq!(wildcard(text, &pat), wildcard_backtracking(text, &pat), "{text:?} ~ {pat:?}");
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}
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}
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// Patterns longer than one 64-bit word.
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let long = format!("*{}*b?", "a".repeat(70));
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for text in [format!("x{}yb1", "a".repeat(70)), format!("{}b", "a".repeat(71)), "a".repeat(200)] {
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assert_eq!(wildcard(&text, &long), wildcard_backtracking(&text, &long), "{text}");
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}
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}
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#[test]
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fn wildcard_with_many_distinct_literals_agrees_with_backtracking() {
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// 600 distinct characters in the pattern: more than the masks kept, so the rest are rebuilt.
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let chars: Vec<char> = (0x4E00u32..0x4E00 + 600).filter_map(char::from_u32).collect();
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let word: String = chars.iter().collect();
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let pat = format!("*{word}?{}", chars[3]);
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for text in [format!("x{word}yq{}", chars[3]), word.clone(), format!("{word}{word}"), chars.iter().rev().collect::<String>()] {
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assert_eq!(wildcard(&text, &pat), wildcard_backtracking(&text, &pat), "{} chars", text.chars().count());
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}
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assert!(wildcard(&format!("{word}zz{}", chars[3]).replace("zz", "z"), &pat));
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}
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#[test]
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fn wildcard_keeps_masks_of_frequent_literals_past_the_cache_limit() {
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// 300 distinct characters come before the repeated `a`: past the cached masks, `a` (5,000 positions)
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// still has to be read from a kept mask, or it is rebuilt for each of the 20,000 `a` in the text.
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let rare: String = (0x4E00u32..0x4E00 + 300).filter_map(char::from_u32).collect();
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let pat = format!("*{rare}{}b", "a".repeat(5_000));
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let text = "a".repeat(20_000);
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assert!(!wildcard(&text, &pat));
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assert!(wildcard(&format!("{rare}{}b", "a".repeat(5_000)), &pat));
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assert!(!wildcard(&format!("{rare}{}", "a".repeat(5_000)), &pat));
|
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}
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#[test]
|
||||
fn wildcard_on_long_repetitive_text_is_linear() {
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||||
// The backtracking matcher compared about text × pattern characters here (10^8).
|
||||
let text = "a".repeat(20_000);
|
||||
let pat = format!("*{}b", "a".repeat(5_000));
|
||||
assert!(!wildcard(&text, &pat));
|
||||
assert!(wildcard(&format!("{text}b"), &pat));
|
||||
}
|
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|
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#[test]
|
||||
fn tsv() {
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||||
assert_eq!(parse_tsv("a\tb\n1\t2\n"), vec![vec!["a", "b"], vec!["1", "2"]]);
|
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|
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@@ -36,13 +36,28 @@ fn max_periods(history: usize) -> u32 {
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u32::try_from(MAX_WORK / h).unwrap_or(u32::MAX).clamp(1, MAX_PERIODS)
|
||||
}
|
||||
|
||||
/// Most forecast rows when the model is fit to the first `fit` of `history` rows, which span
|
||||
/// `slots` timeline slots once their gaps are filled. With a Forecast Start inside the history,
|
||||
/// every row after it is forecast too (a hindcast row holds the same ETS formulas, each refitting
|
||||
/// the model over the `slots` slots), so those rows (counted from the raw rows) count against
|
||||
/// [`MAX_WORK`] before any forecast row does. `None` when the hindcast alone exceeds it.
|
||||
fn max_periods_from(history: usize, fit: usize, slots: usize) -> Option<u32> {
|
||||
if fit >= history {
|
||||
return Some(max_periods(history));
|
||||
}
|
||||
let f = u64::try_from(slots.max(fit)).unwrap_or(u64::MAX).max(1);
|
||||
let hindcast = u64::try_from(history - fit).unwrap_or(u64::MAX);
|
||||
let rest = (MAX_WORK / f).checked_sub(hindcast).filter(|r| *r >= 1)?;
|
||||
Some(u32::try_from(rest).unwrap_or(u32::MAX).min(MAX_PERIODS))
|
||||
}
|
||||
|
||||
pub fn specs() -> Vec<CommandSpec> {
|
||||
vec![cmd!(
|
||||
"data.forecastSheet",
|
||||
"Forecast Sheet",
|
||||
["Data", "Forecast"],
|
||||
None,
|
||||
"{timeline?: \"A2:A25\", values?: \"B2:B25\" (default: the first two columns of `range`, the selection or the current region; a text first cell is the header), end?: timeline value or date text | periods?: n (default: a third of the history, at least 1; ≤10,000 and history × periods ≤ 500,000; history ≤ 10,000 rows), forecastStart?: a timeline value or date text on the history, before its last point (hindcast: the model is fit to the points before it, the forecast columns start there and run over the actuals; default and the last point: forecast after the history), confidenceInterval?: bool (default true), confidence?: 0.95 or 95, seasonality?: \"auto\" | 0 (none) | 2–8,760, fillMissing?: interpolate|zeros, aggregate?: average|count|counta|max|median|min|sum, statistics?: bool, chart?: line|column} → {sheet, table, chart, history, periods}. Inserts a sheet before the active one: timeline, values, Forecast (FORECAST.ETS), Lower/Upper Confidence Bound (FORECAST.ETS.CONFINT), optional FORECAST.ETS.STAT table, and a chart.",
|
||||
"{timeline?: \"A2:A25\", values?: \"B2:B25\" (default: the first two columns of `range`, the selection or the current region; a text first cell is the header), end?: timeline value or date text | periods?: n (default: a third of the history, at least 1; ≤10,000 and history × periods ≤ 500,000, or with a forecastStart inside the history (hindcast rows are forecast too) (the greater of the fitted rows and fitted slots × (periods + rows from forecastStart on, that row included)) ≤ 500,000; history ≤ 10,000 rows), forecastStart?: a timeline value or date text on the history, before its last point (hindcast: the model is fit to the points before it, the forecast columns start there and run over the actuals; default and the last point: forecast after the history), confidenceInterval?: bool (default true), confidence?: 0.95 or 95, seasonality?: \"auto\" | 0 (none) | 2–8,760, fillMissing?: interpolate|zeros, aggregate?: average|count|counta|max|median|min|sum, statistics?: bool, chart?: line|column} → {sheet, table, chart, history, periods}. Inserts a sheet before the active one: timeline, values, Forecast (FORECAST.ETS), Lower/Upper Confidence Bound (FORECAST.ETS.CONFINT), optional FORECAST.ETS.STAT table, and a chart.",
|
||||
has_doc,
|
||||
forecast_sheet
|
||||
)]
|
||||
@@ -257,13 +272,23 @@ fn forecast_sheet(s: &mut Session, p: &Json) -> Result<Json> {
|
||||
}
|
||||
}
|
||||
};
|
||||
let cap = max_periods(rows.len());
|
||||
// The slots the model is fit over: the fit rows' span of the timeline, gaps included.
|
||||
let slots = match (fit < rows.len(), times.get(fit.wrapping_sub(1)), times.first()) {
|
||||
(true, Some(last_fit), Some(first)) => match (timeline.steps_after_last(*last_fit), timeline.steps_after_last(*first)) {
|
||||
(Some(b), Some(a)) => ((b - a).round() + 1.0).clamp(0.0, 1e9) as usize,
|
||||
_ => fit,
|
||||
},
|
||||
_ => fit,
|
||||
};
|
||||
let cap = max_periods_from(rows.len(), fit, slots).ok_or_else(|| {
|
||||
EngineError::Other("The forecast start is too early for this much history: choose a later forecast start or less history.".into())
|
||||
})?;
|
||||
let periods = match end {
|
||||
Some(end) => steps_to(&timeline, end, cap)?,
|
||||
None => match number(p, "periods")? {
|
||||
Some(n) if n >= 1.0 && n.ceil() <= f64::from(cap) => n.ceil() as u32,
|
||||
Some(_) => return Err(bad(CMD, format!("`periods` is from 1 to {cap} for {} rows of history", rows.len()))),
|
||||
None => default_periods(rows.len()),
|
||||
None => default_periods(rows.len()).min(cap),
|
||||
},
|
||||
};
|
||||
let future: Vec<f64> =
|
||||
@@ -532,6 +557,51 @@ mod tests {
|
||||
assert_eq!(s.doc().unwrap().wb.sheets.len(), sheets - 1);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn hindcast_rows_count_against_the_work_limit() {
|
||||
use super::{MAX_WORK, max_periods, max_periods_from};
|
||||
assert_eq!(max_periods_from(1_300, 1_300, 1_300), Some(max_periods(1_300)));
|
||||
// 2,000 rows fit to the first 1,899: 101 hindcast rows, then 162 forecast rows.
|
||||
assert_eq!(max_periods_from(2_000, 1_899, 1_899), Some(162));
|
||||
// Fit to the first 1,000: the 1,000 hindcast rows alone are twice the limit.
|
||||
assert_eq!(max_periods_from(2_000, 1_000, 1_000), None);
|
||||
// 800 rows fit to the first 400, which span 571 slots (gaps filled): each formula refits
|
||||
// 571 slots, so 475 forecast rows after the 400 hindcast rows, not 850.
|
||||
assert_eq!(max_periods_from(800, 400, 571), Some(475));
|
||||
assert!((475 + 400) * 571 <= MAX_WORK as usize);
|
||||
for (h, f) in [(2_000usize, 1_899usize), (10_000, 9_990), (100, 2), (60, 50)] {
|
||||
if let Some(p) = max_periods_from(h, f, f) {
|
||||
assert!((u64::from(p) + (h - f) as u64) * f as u64 <= MAX_WORK, "{h} {f}");
|
||||
}
|
||||
}
|
||||
let mut s = Session::new();
|
||||
s.new_workbook();
|
||||
let mut rows = vec![json!(["t", "y"])];
|
||||
rows.extend((1..=2_000).map(|t| json!([t, (t % 7) as f64 + t as f64 * 0.5])));
|
||||
s.execute("range.setValues", json!({"range": "A1", "values": rows})).unwrap();
|
||||
let sheets = s.doc().unwrap().wb.sheets.len();
|
||||
let err = s.execute("data.forecastSheet", json!({"range": "A1:B2001", "forecastStart": 1_001})).expect_err("hindcast too long");
|
||||
assert!(err.to_string().contains("forecast start is too early"), "{err}");
|
||||
let err = s.execute("data.forecastSheet", json!({"range": "A1:B2001", "forecastStart": 1_900, "periods": 163})).expect_err("past the cap");
|
||||
assert!(err.to_string().contains("from 1 to 162"), "{err}");
|
||||
assert_eq!(s.doc().unwrap().wb.sheets.len(), sheets);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn the_hindcast_cap_follows_the_slots_the_fit_spans_not_its_rows() {
|
||||
// 800 rows, 20% of the slots missing: the first 400 rows span 500 slots, so each ETS
|
||||
// formula refits 500 slots and the cap is 1,000 - 400 = 600 (it was 850 by rows).
|
||||
let mut s = Session::new();
|
||||
s.new_workbook();
|
||||
let times: Vec<u32> = (1u32..).filter(|t| !matches!(t % 10, 3 | 6)).take(800).collect();
|
||||
let mut rows = vec![json!(["t", "y"])];
|
||||
rows.extend(times.iter().map(|t| json!([t, (t % 7) as f64 + f64::from(*t) * 0.5])));
|
||||
s.execute("range.setValues", json!({"range": "A1", "values": rows})).unwrap();
|
||||
let start = times[400];
|
||||
let err = s.execute("data.forecastSheet", json!({"range": "A1:B801", "forecastStart": start, "periods": 601})).expect_err("past the cap");
|
||||
assert!(err.to_string().contains("from 1 to 600"), "{err}");
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn history_and_periods_are_capped() {
|
||||
use super::{MAX_HISTORY, MAX_PERIODS, MAX_WORK, default_periods, max_periods};
|
||||
|
||||
@@ -194,25 +194,16 @@ pub(super) fn autofit_cols(s: &mut Session, p: &Json) -> Result<Json> {
|
||||
let measure = s.text_width.clone();
|
||||
edit(s, |cx| {
|
||||
let Some(sh) = cx.wb.sheet(si) else { return Ok(Json::Null) };
|
||||
let mut widths = Vec::new();
|
||||
let mut measured: std::collections::HashMap<StyleId, std::collections::HashMap<String, f32>> = Default::default();
|
||||
let mut distinct = 0usize;
|
||||
// Selected columns, then one pass over the populated cells (the store is row-oriented, so a
|
||||
// scan per column would revisit every row for each selected column, empty or not).
|
||||
let cols: std::collections::BTreeSet<u32> = lines.iter().flat_map(|&(a, b)| a..=b.min(a + 16383)).collect();
|
||||
let mut maxes: std::collections::BTreeMap<u32, f32> = Default::default();
|
||||
if let Some(u) = sh.used_range() {
|
||||
// One pass per run of adjacent selected columns, so columns between distant selections
|
||||
// (A and XFD) are never visited.
|
||||
let mut runs: Vec<(u32, u32)> = Vec::new();
|
||||
for &c in &cols {
|
||||
match runs.last_mut() {
|
||||
Some((_, end)) if *end + 1 == c => *end = c,
|
||||
_ => runs.push((c, c)),
|
||||
}
|
||||
}
|
||||
for (first, last) in runs {
|
||||
let span = RangeRef::new(CellRef::new(u.start.row, first), CellRef::new(u.end.row, last));
|
||||
for (cell, _) in sh.cells.iter_range(span) {
|
||||
let used = sh.used_range();
|
||||
for (a, b) in lines {
|
||||
for c in a..=b.min(a + 16383) {
|
||||
let Some(u) = used else { continue };
|
||||
let col = RangeRef::new(CellRef::new(u.start.row, c), CellRef::new(u.end.row, c));
|
||||
let mut max: f32 = 0.0;
|
||||
for (cell, _) in sh.cells.iter_range(col) {
|
||||
if sh.merge_at(cell).is_some_and(|m| !m.is_single()) {
|
||||
continue;
|
||||
}
|
||||
@@ -235,14 +226,14 @@ pub(super) fn autofit_cols(s: &mut Session, p: &Json) -> Result<Json> {
|
||||
}
|
||||
None => approx_text_width(line, st.font.size, st.font.bold),
|
||||
};
|
||||
let w = w + 6.0 + st.align.indent as f32 * 9.0 + sh.filter_button_space(cell);
|
||||
let max = maxes.entry(cell.col).or_insert(0.0);
|
||||
*max = max.max(w);
|
||||
max = max.max(w + 6.0 + st.align.indent as f32 * 9.0 + sh.filter_button_space(cell));
|
||||
}
|
||||
}
|
||||
if max > 0.0 {
|
||||
widths.push((c, max.clamp(8.0, 1785.0)));
|
||||
}
|
||||
}
|
||||
}
|
||||
let widths: Vec<(u32, f32)> = maxes.into_iter().filter(|&(_, m)| m > 0.0).map(|(c, m)| (c, m.clamp(8.0, 1785.0))).collect();
|
||||
let sh = cx.sheet_mut(si)?;
|
||||
for (c, w) in widths {
|
||||
let e = sh.cols.entry(c).or_default();
|
||||
|
||||
@@ -163,6 +163,8 @@ fn protect_sheet(s: &mut Session, p: &Json) -> Result<Json> {
|
||||
let what = d.wb.sheet(sheet).map(|sh| sh.name.clone()).unwrap_or_default();
|
||||
let prot = SheetProtection { password: str_param(p, "password").filter(|x| !x.is_empty()).map(|pw| new_password_hash(d, &what, pw)), ..prot };
|
||||
edit(s, |cx| {
|
||||
// FORMULATEXT reads a sheet's protection: its results are recalculated.
|
||||
cx.recalc_all = true;
|
||||
cx.sheet_mut(sheet)?.protection = Some(prot.clone());
|
||||
Ok(Json::Null)
|
||||
})
|
||||
@@ -182,7 +184,10 @@ fn unprotect_sheet(s: &mut Session, p: &Json) -> Result<Json> {
|
||||
}
|
||||
}
|
||||
edit(s, |cx| {
|
||||
cx.sheet_mut(sheet)?.protection = None;
|
||||
// Only removing protection changes what FORMULATEXT reads; a no-op unprotect skips the full recalculation.
|
||||
if cx.sheet_mut(sheet)?.protection.take().is_some() {
|
||||
cx.recalc_all = true;
|
||||
}
|
||||
Ok(Json::Null)
|
||||
})
|
||||
}
|
||||
@@ -404,6 +409,21 @@ mod tests {
|
||||
assert_eq!(at(&s), (0, "A1".to_string()));
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn protecting_and_unprotecting_leave_table_headers_alone() {
|
||||
let mut s = Session::new();
|
||||
s.new_workbook();
|
||||
s.execute("range.setValues", json!({"range": "A1", "values": [["a", "b"], [1, 2]]})).unwrap();
|
||||
s.execute("insert.table", json!({"range": "A1:B2", "header": true})).unwrap();
|
||||
// An imported header can hold a number: only a structural edit would turn it back into text.
|
||||
let d = s.doc_mut().unwrap();
|
||||
std::sync::Arc::make_mut(&mut d.wb).sheet_mut(0).unwrap().set_value(gridcraft_core::CellRef::new(0, 0), gridcraft_core::Value::Number(7.0));
|
||||
s.execute("review.protectSheet", json!({})).unwrap();
|
||||
s.execute("review.unprotectSheet", json!({})).unwrap();
|
||||
let v = s.doc().unwrap().wb.sheet(0).unwrap().value(gridcraft_core::CellRef::new(0, 0));
|
||||
assert_eq!(v, gridcraft_core::Value::Number(7.0));
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn protection_that_forbids_selecting_locked_cells_is_enforced_and_kept() {
|
||||
let mut s = book();
|
||||
|
||||
@@ -83,9 +83,6 @@ pub(crate) fn criterion_matches(v: &Value, text: &str, crit: &Value) -> bool {
|
||||
}
|
||||
}
|
||||
|
||||
/// Most (list row, criteria row) pairs one Advanced Filter tests.
|
||||
const MAX_FILTER_TESTS: u64 = 50_000_000;
|
||||
|
||||
pub(super) fn advanced_filter(s: &mut Session, p: &Json) -> Result<Json> {
|
||||
const CMD: &str = "data.advancedFilter";
|
||||
let d = s.doc()?;
|
||||
@@ -136,10 +133,6 @@ pub(super) fn advanced_filter(s: &mut Session, p: &Json) -> Result<Json> {
|
||||
rows.push(conds);
|
||||
}
|
||||
}
|
||||
// Each list row is tried against every criteria row, so bound their product too.
|
||||
if u64::from(list.height()) * rows.len() as u64 > MAX_FILTER_TESTS {
|
||||
return Err(bad(CMD, "the list and criteria ranges together are too large"));
|
||||
}
|
||||
let matches_row = |row: u32| -> bool {
|
||||
if rows.is_empty() {
|
||||
return true;
|
||||
|
||||
@@ -298,15 +298,6 @@ fn consolidate_by_position_and_label() {
|
||||
assert!(s.execute("data.consolidate", json!({"sources": ["A1"], "function": "median"})).is_err());
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn advanced_filter_refuses_a_list_times_criteria_product_over_the_work_limit() {
|
||||
let mut s = s();
|
||||
s.execute("range.setValues", json!({"range": "A1", "values": [["Name"], ["A"]]})).unwrap();
|
||||
s.execute("range.setValues", json!({"range": "H1", "values": [["Name"], ["A"]]})).unwrap();
|
||||
// A sparse million-row list against 9,999 blank criteria rows would be ~10 billion tests.
|
||||
assert!(s.execute("data.advancedFilter", json!({"range": "A2:A1048576", "criteria": "H1:H10000"})).is_err());
|
||||
}
|
||||
|
||||
/// A hundred thousand positional rows take one key lookup each; a tall source and a wide one
|
||||
/// whose keys would meet in a table of 160 million cells are refused before it is built.
|
||||
#[test]
|
||||
|
||||
@@ -1281,18 +1281,9 @@ fn content_differs(b: Option<&Cell>, a: Option<&Cell>) -> bool {
|
||||
/// Objects added, changed and removed between two versions of a sheet.
|
||||
fn objects(b: &Sheet, a: &Sheet) -> (usize, usize, usize) {
|
||||
fn count<T: PartialEq>(b: &[T], a: &[T], id: impl Fn(&T) -> u32) -> (usize, usize, usize) {
|
||||
// Objects grouped by id, so each lookup is a map probe instead of a scan of the list.
|
||||
fn group<'a, T>(v: &'a [T], id: &impl Fn(&T) -> u32) -> std::collections::HashMap<u32, Vec<&'a T>> {
|
||||
let mut m: std::collections::HashMap<u32, Vec<&T>> = std::collections::HashMap::new();
|
||||
for x in v {
|
||||
m.entry(id(x)).or_default().push(x);
|
||||
}
|
||||
m
|
||||
}
|
||||
let (gb, ga) = (group(b, &id), group(a, &id));
|
||||
let added = a.iter().filter(|x| !gb.contains_key(&id(x))).count();
|
||||
let removed = b.iter().filter(|x| !ga.contains_key(&id(x))).count();
|
||||
let changed = b.iter().filter(|x| ga.get(&id(x)).is_some_and(|ys| ys.iter().any(|y| *y != *x))).count();
|
||||
let added = a.iter().filter(|x| !b.iter().any(|y| id(y) == id(x))).count();
|
||||
let removed = b.iter().filter(|x| !a.iter().any(|y| id(y) == id(x))).count();
|
||||
let changed = b.iter().filter(|x| a.iter().any(|y| id(y) == id(x) && y != *x)).count();
|
||||
(added, changed, removed)
|
||||
}
|
||||
let parts = [
|
||||
|
||||
@@ -6481,14 +6481,20 @@ fn clearing_links_and_notes_keeps_allow_edit_ranges() {
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn replace_does_not_search_hidden_formula_source() {
|
||||
fn formulatext_does_not_reveal_a_hidden_formula() {
|
||||
let mut s = s();
|
||||
s.execute("cell.set", json!({"cell": "A1", "input": "=SEQUENCE(3)*7"})).unwrap();
|
||||
s.execute("home.formatCells", json!({"range": "A1", "style": {"protection": {"locked": true, "hidden": true}}})).unwrap();
|
||||
s.execute("cell.set", json!({"cell": "A1", "input": "=1+1"})).unwrap();
|
||||
s.execute("home.formatCells", json!({"range": "A1", "style": {"protection": {"locked": false, "hidden": true}}})).unwrap();
|
||||
s.execute("home.formatCells", json!({"range": "B1", "style": {"protection": {"locked": false}}})).unwrap();
|
||||
s.execute("cell.set", json!({"cell": "B1", "input": "=FORMULATEXT(A1)"})).unwrap();
|
||||
assert_eq!(v(&s, "B1"), Value::from("=1+1"), "not protected yet");
|
||||
s.execute("review.protectSheet", json!({})).unwrap();
|
||||
let hit = s.execute("edit.replace", json!({"what": "SEQUENCE", "with": "X"})).map_err(|e| e.to_string());
|
||||
let miss = s.execute("edit.replace", json!({"what": "NOSUCHTEXT", "with": "X"})).map_err(|e| e.to_string());
|
||||
assert_eq!(hit, miss);
|
||||
// Without entering the formula again: protecting recalculates what reads the protection.
|
||||
assert_eq!(v(&s, "B1"), Value::Error(gridcraft_core::CellError::NA));
|
||||
s.execute("cell.set", json!({"cell": "B1", "input": "=FORMULATEXT(A1)"})).unwrap();
|
||||
assert_eq!(v(&s, "B1"), Value::Error(gridcraft_core::CellError::NA));
|
||||
s.execute("review.unprotectSheet", json!({})).unwrap();
|
||||
assert_eq!(v(&s, "B1"), Value::from("=1+1"), "unprotecting shows it again without re-entering");
|
||||
}
|
||||
|
||||
#[test]
|
||||
|
||||
@@ -70,27 +70,43 @@ fn cell_criterion(v: &Value) -> Option<Criterion> {
|
||||
/// when the label is unknown, criterion).
|
||||
type CriteriaRow = (usize, Vec<(usize, Option<usize>, Criterion)>);
|
||||
|
||||
/// Most condition tests one selection may make (records times conditions): every record can be
|
||||
/// tested against every criteria row when none matches, so a modest database and criteria table
|
||||
/// multiply into billions of tests. Past it the function is `#NUM!`, as lifted lookups are; 5e8
|
||||
/// is a few seconds of matching.
|
||||
const SELECTION_WORK_BUDGET: usize = 500_000_000;
|
||||
|
||||
/// Rows (1-based within the database, excluding the header) of matching records.
|
||||
fn matching_records(db: &Array, crit: &Array, ctx: &mut dyn Ctx) -> Vec<usize> {
|
||||
fn matching_records(db: &Array, crit: &Array, ctx: &mut dyn Ctx) -> R<Vec<usize>> {
|
||||
// The database column under each criteria label, found once per label rather than per cell.
|
||||
let columns: Vec<Option<usize>> = (0..crit.cols)
|
||||
.map(|c| match crit.get(0, c) {
|
||||
Some(Value::Text(t)) => find_column(db, t),
|
||||
Some(Value::Number(n)) => find_column(db, &gridcraft_core::number_to_text(*n)),
|
||||
_ => None,
|
||||
})
|
||||
.collect();
|
||||
// Per criteria row: its index and a list of (criteria column, database column or None when
|
||||
// the label is unknown, criterion).
|
||||
let mut rows: Vec<CriteriaRow> = Vec::new();
|
||||
let mut tests = 0usize;
|
||||
for r in 1..crit.rows {
|
||||
let mut conds = Vec::new();
|
||||
for c in 0..crit.cols {
|
||||
let Some(cell) = crit.get(r, c) else { continue };
|
||||
let Some(cr) = cell_criterion(cell) else { continue };
|
||||
let col = match crit.get(0, c) {
|
||||
Some(Value::Text(t)) => find_column(db, t),
|
||||
Some(Value::Number(n)) => find_column(db, &gridcraft_core::number_to_text(*n)),
|
||||
_ => None,
|
||||
};
|
||||
conds.push((c, col, cr));
|
||||
conds.push((c, columns.get(c).copied().flatten(), cr));
|
||||
}
|
||||
tests = tests.saturating_add(conds.len().max(1));
|
||||
rows.push((r, conds));
|
||||
}
|
||||
let all_match = rows.is_empty();
|
||||
(1..db.rows)
|
||||
// An empty criteria row matches every record without testing a condition, so nothing is charged.
|
||||
let all_match = rows.is_empty() || rows.iter().any(|(_, conds)| conds.is_empty());
|
||||
// Computed criteria (a formula evaluated per record) count like any other test.
|
||||
if !all_match && db.rows.saturating_sub(1).saturating_mul(tests) > SELECTION_WORK_BUDGET {
|
||||
return Err(CellError::Num);
|
||||
}
|
||||
Ok((1..db.rows)
|
||||
.filter(|&rec| {
|
||||
all_match
|
||||
|| rows.iter().any(|(r, conds)| {
|
||||
@@ -102,7 +118,7 @@ fn matching_records(db: &Array, crit: &Array, ctx: &mut dyn Ctx) -> Vec<usize> {
|
||||
})
|
||||
})
|
||||
})
|
||||
.collect()
|
||||
.collect())
|
||||
}
|
||||
|
||||
struct Selection<'a> {
|
||||
@@ -123,7 +139,7 @@ fn select<'a>(a: &'a [Arg], ctx: &mut dyn Ctx) -> R<Selection<'a>> {
|
||||
let db = as_array(dbv);
|
||||
let crit = as_array(critv);
|
||||
let field = field_index(&db, a)?;
|
||||
let records = matching_records(&db, &crit, ctx);
|
||||
let records = matching_records(&db, &crit, ctx)?;
|
||||
Ok(Selection { db, field, records })
|
||||
}
|
||||
|
||||
@@ -352,6 +368,27 @@ mod tests {
|
||||
is_err(d("DSUM", n(9.0)), CellError::Value);
|
||||
}
|
||||
|
||||
/// Security: records times criteria conditions past the selection budget is `#NUM!` before
|
||||
/// any record is tested; a nonmatching criteria table used to test every record against
|
||||
/// every criteria row.
|
||||
#[test]
|
||||
fn selection_work_is_bounded() {
|
||||
use gridcraft_core::Array;
|
||||
let column = |label: &str, len: usize, v: Value| {
|
||||
let mut data = vec![tv(label)];
|
||||
data.extend(std::iter::repeat_n(v, len));
|
||||
Value::from(Array::column(data))
|
||||
};
|
||||
let db = column("Tree", 100_000, tv("Apple"));
|
||||
let wide = column("Tree", 5_001, tv("=Plum"));
|
||||
is_err(ev("DCOUNTA", vec![rf(db.clone()), t("Tree"), rf(wide)]), CellError::Num);
|
||||
let narrow = column("Tree", 2, tv("=Apple"));
|
||||
close(ev("DCOUNTA", vec![rf(db.clone()), t("Tree"), rf(narrow)]), 100_000.0);
|
||||
// Empty criteria rows test no condition: the first one matches every record, so they cost nothing.
|
||||
let empty_rows = column("Tree", 5_001, Value::Empty);
|
||||
close(ev("DCOUNTA", vec![rf(db), t("Tree"), rf(empty_rows)]), 100_000.0);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn simple_criteria() {
|
||||
let c = |cells: Vec<Value>| arr(vec![vec![tv("Tree"), tv("Height")], cells]);
|
||||
|
||||
@@ -416,13 +416,17 @@ fn workday_core(a: &[Arg], c: &mut dyn Ctx, mask: [bool; 7], hol: Option<&Arg>)
|
||||
if days == 0 {
|
||||
return num_val(start as f64);
|
||||
}
|
||||
// The holidays on working days, still sorted (`holidays` sorts them), so each step counts
|
||||
// the ones it passed with two binary searches rather than a scan of every holiday: a run of
|
||||
// consecutive holidays takes one step per holiday.
|
||||
let hs: Vec<i64> = hs.into_iter().filter(|&h| !mask[weekday0(sys, h)]).collect();
|
||||
let dir = days.signum();
|
||||
let mut cur = start;
|
||||
let mut rem = days.abs();
|
||||
while rem > 0 {
|
||||
let next = advance(sys, cur, rem, dir, &mask, per_week);
|
||||
let (lo, hi) = if dir > 0 { (cur + 1, next) } else { (next, cur - 1) };
|
||||
rem = hs.iter().filter(|&&h| h >= lo && h <= hi && !mask[weekday0(sys, h)]).count() as i64;
|
||||
rem = hs.partition_point(|&h| h <= hi).saturating_sub(hs.partition_point(|&h| h < lo)) as i64;
|
||||
cur = next;
|
||||
if !(0..=MAX_SERIAL as i64).contains(&cur) {
|
||||
return Err(CellError::Num);
|
||||
@@ -755,6 +759,23 @@ mod tests {
|
||||
is_err(ev("TIMEVALUE", vec![t("x")]), CellError::Value);
|
||||
}
|
||||
|
||||
/// Security: WORKDAY counts the holidays each step passes by binary search, so a long run of
|
||||
/// consecutive holidays is linear work, not one scan of every holiday per holiday.
|
||||
#[test]
|
||||
fn workday_over_many_consecutive_holidays() {
|
||||
let start = d(2000.0, 1.0, 3.0);
|
||||
let hol: Vec<f64> = (1..=200_000).map(|i| start + f64::from(i)).collect();
|
||||
let out = ev("WORKDAY.INTL", vec![n(start), n(1.0), n(11.0), av(col(&hol))]);
|
||||
// Sundays are the only weekend (11): 200,000 days of holidays are skipped, landing on the
|
||||
// first working day after them.
|
||||
let after = start + 200_001.0;
|
||||
let sunday = ev("WEEKDAY", vec![n(after), n(2.0)]) == nv(7.0);
|
||||
close(out, if sunday { after + 1.0 } else { after });
|
||||
// Holidays on a weekend don't push the result out.
|
||||
let fri = d(2026.0, 10.0, 9.0);
|
||||
close(ev("WORKDAY", vec![n(fri), n(1.0), av(col(&[fri + 1.0, fri + 3.0]))]), fri + 4.0);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn day_counts() {
|
||||
close(ev("DAYS", vec![n(d(2021.0, 3.0, 15.0)), n(d(2021.0, 2.0, 1.0))]), 42.0);
|
||||
|
||||
@@ -171,13 +171,17 @@ fn sort(args: &[Arg], _c: &mut dyn Ctx) -> R<Value> {
|
||||
let a = if by_col { a.transpose() } else { a };
|
||||
let idx = if has(args, 1) { int_list(&arg(args, 1)?.value)? } else { vec![1] };
|
||||
let ord = if has(args, 2) { int_list(&arg(args, 2)?.value)? } else { vec![1] };
|
||||
if idx.is_empty() || idx.iter().any(|&i| i < 1 || i as usize > a.cols) || ord.iter().any(|&o| o != 1 && o != -1) {
|
||||
if idx.is_empty() || idx.iter().any(|&i| i < 1 || i > a.cols as i64) || ord.iter().any(|&o| o != 1 && o != -1) {
|
||||
return Err(CellError::Value);
|
||||
}
|
||||
if ord.len() > 1 && ord.len() != idx.len() {
|
||||
return Err(CellError::Value);
|
||||
}
|
||||
let orders: Vec<i64> = (0..idx.len()).map(|i| *ord.get(i).or(ord.first()).unwrap_or(&1)).collect();
|
||||
// A column repeated in sort_index can't break a tie its first use left, so only first uses
|
||||
// stay: the keys copied per row are then at most the row itself, however long sort_index is.
|
||||
let mut seen = std::collections::HashSet::new();
|
||||
let (idx, orders): (Vec<i64>, Vec<i64>) = idx.into_iter().zip(orders).filter(|(i, _)| seen.insert(*i)).unzip();
|
||||
let mut lines: Vec<(Vec<Value>, Vec<Value>)> =
|
||||
rows_of(&a).into_iter().map(|r| (idx.iter().map(|&i| r.get(i as usize - 1).cloned().unwrap_or(Value::Empty)).collect(), r)).collect();
|
||||
lines.sort_by(|x, y| cmp_keys(&x.0, &y.0, &orders));
|
||||
@@ -928,9 +932,16 @@ fn pivotby(args: &[Arg], ctx: &mut dyn Ctx) -> R<Value> {
|
||||
let ckeys: Vec<Vec<Value>> = p.rows.iter().map(|&r| key_row(&cf, r)).collect();
|
||||
let rk = distinct_keys(&rkeys, if row_sort.unsigned_abs() as usize <= rf.cols { row_sort } else { 0 });
|
||||
let ck = distinct_keys(&ckeys, if col_sort.unsigned_abs() as usize <= cf.cols { col_sort } else { 0 });
|
||||
// Source rows of every row key, column key and pair, built in one pass, so a total reads
|
||||
// its rows instead of rescanning the whole source once per total.
|
||||
let mut cell: HashMap<(String, String), Vec<usize>> = HashMap::new();
|
||||
let mut by_row: HashMap<String, Vec<usize>> = HashMap::new();
|
||||
let mut by_col: HashMap<String, Vec<usize>> = HashMap::new();
|
||||
for ((r, c), &i) in rkeys.iter().zip(ckeys.iter()).zip(p.rows.iter()) {
|
||||
cell.entry((row_key(r), row_key(c))).or_default().push(i);
|
||||
let (r, c) = (row_key(r), row_key(c));
|
||||
by_row.entry(r.clone()).or_default().push(i);
|
||||
by_col.entry(c.clone()).or_default().push(i);
|
||||
cell.entry((r, c)).or_default().push(i);
|
||||
}
|
||||
let mut agg = |rows: &[usize], c: usize| -> Value {
|
||||
if rows.is_empty() {
|
||||
@@ -940,14 +951,12 @@ fn pivotby(args: &[Arg], ctx: &mut dyn Ctx) -> R<Value> {
|
||||
aggregate_with(f, &vs, ctx)
|
||||
};
|
||||
let rows_for = |r: Option<&Vec<Value>>, c: Option<&Vec<Value>>| -> Vec<usize> {
|
||||
let rkey = r.map(|k| row_key(k));
|
||||
let ckey = c.map(|k| row_key(k));
|
||||
p.rows
|
||||
.iter()
|
||||
.zip(rkeys.iter().zip(ckeys.iter()))
|
||||
.filter(|(_, (a, b))| rkey.as_ref().is_none_or(|k| *k == row_key(a)) && ckey.as_ref().is_none_or(|k| *k == row_key(b)))
|
||||
.map(|(&i, _)| i)
|
||||
.collect()
|
||||
match (r, c) {
|
||||
(Some(r), Some(c)) => cell.get(&(row_key(r), row_key(c))).cloned().unwrap_or_default(),
|
||||
(Some(r), None) => by_row.get(&row_key(r)).cloned().unwrap_or_default(),
|
||||
(None, Some(c)) => by_col.get(&row_key(c)).cloned().unwrap_or_default(),
|
||||
(None, None) => p.rows.clone(),
|
||||
}
|
||||
};
|
||||
let mut cols: Vec<Option<&Vec<Value>>> = ck.iter().map(Some).collect();
|
||||
if col_total > 0 {
|
||||
@@ -997,10 +1006,7 @@ fn pivotby(args: &[Arg], ctx: &mut dyn Ctx) -> R<Value> {
|
||||
}
|
||||
};
|
||||
for c in &cols {
|
||||
let rows = match (r, c) {
|
||||
(Some(rk), Some(ck)) => cell.get(&(row_key(rk), row_key(ck))).cloned().unwrap_or_default(),
|
||||
_ => rows_for(r, *c),
|
||||
};
|
||||
let rows = rows_for(r, *c);
|
||||
for vc in 0..vals.cols {
|
||||
line.push(agg(&rows, vc));
|
||||
}
|
||||
@@ -1204,6 +1210,21 @@ mod tests {
|
||||
assert_eq!(rows_of(&r), vec![vec![nv(0.0), nv(5.0)], vec![nv(1.0), nv(2.0)], vec![nv(1.0), nv(1.0)]]);
|
||||
}
|
||||
|
||||
/// Security: a column repeated in sort_index keys the sort once. The keys copied per row stay
|
||||
/// within the row, however long sort_index is, and a repeat (even with the other order) can't
|
||||
/// change the result, since its first use already ordered the rows.
|
||||
#[test]
|
||||
fn sort_drops_repeated_sort_indices() {
|
||||
let m = || av(arr(vec![vec![nv(1.0), nv(2.0)], vec![nv(1.0), nv(1.0)], vec![nv(0.0), nv(5.0)]]));
|
||||
let want = vec![vec![nv(0.0), nv(5.0)], vec![nv(1.0), nv(2.0)], vec![nv(1.0), nv(1.0)]];
|
||||
let r = ev("SORT", vec![m(), av(row(&[1.0, 1.0, 2.0, 1.0])), av(row(&[1.0, -1.0, -1.0, 1.0]))]);
|
||||
assert_eq!(rows_of(&r), want);
|
||||
let idx = vec![1.0; 1_000_000];
|
||||
let tall = av(gridcraft_core::Array::filled(2_000, 1, nv(1.0)).into());
|
||||
let r = ev("SORT", vec![tall, av(row(&idx))]);
|
||||
assert_eq!(rows_of(&r).len(), 2_000);
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn sortby() {
|
||||
let r = ev("SORTBY", vec![av(col(&[1.0, 2.0, 3.0])), av(col(&[30.0, 10.0, 20.0]))]);
|
||||
@@ -1447,6 +1468,16 @@ mod tests {
|
||||
);
|
||||
}
|
||||
|
||||
/// Security: PIVOTBY totals read their source rows from indexes built in the grouping pass,
|
||||
/// rather than rescanning the source once per total, so many distinct keys stay linear.
|
||||
#[test]
|
||||
fn pivotby_totals_with_many_groups() {
|
||||
let keys: Vec<f64> = (0..20_000).map(f64::from).collect();
|
||||
let r = rows_of(&ev("PIVOTBY", vec![av(col(&keys)), av(col(&vec![1.0; 20_000])), av(col(&vec![2.0; 20_000])), t("SUM")]));
|
||||
assert_eq!(r.get(1), Some(&vec![nv(0.0), nv(2.0), nv(2.0)]));
|
||||
assert_eq!(r.last(), Some(&vec![tv("Total"), nv(40_000.0), nv(40_000.0)]));
|
||||
}
|
||||
|
||||
#[test]
|
||||
fn pivotby_size_check_counts_column_header_rows() {
|
||||
// One row, n column fields and n value columns: n header rows + value-name row + body row + total row,
|
||||
|
||||
@@ -30,17 +30,27 @@ fn check_len(s: String) -> R<Value> {
|
||||
|
||||
/// Pushes `piece` onto `out`, failing once the result exceeds the cell limit.
|
||||
fn push_capped(out: &mut String, piece: &str) -> R<()> {
|
||||
out.push_str(piece);
|
||||
if out.len() > MAX_TEXT * 4 {
|
||||
// Checked before copying, so one oversized piece is refused without being appended.
|
||||
if out.len().saturating_add(piece.len()) > MAX_TEXT * 4 {
|
||||
return Err(CellError::Value);
|
||||
}
|
||||
out.push_str(piece);
|
||||
Ok(())
|
||||
}
|
||||
|
||||
/// `v.to_text()` without copying text values.
|
||||
fn piece(v: &Value) -> R<std::borrow::Cow<'_, str>> {
|
||||
match v {
|
||||
Value::Text(t) => Ok(std::borrow::Cow::Borrowed(t)),
|
||||
Value::Array(a) => a.data.first().map_or(Ok(std::borrow::Cow::Borrowed("")), piece),
|
||||
_ => v.to_text().map(std::borrow::Cow::Owned),
|
||||
}
|
||||
}
|
||||
|
||||
fn concatenate(a: &[Arg], _c: &mut dyn Ctx) -> R<Value> {
|
||||
let mut out = String::new();
|
||||
for x in a {
|
||||
push_capped(&mut out, &scalar(x).to_text()?)?;
|
||||
push_capped(&mut out, &piece(&scalar(x))?)?;
|
||||
}
|
||||
check_len(out)
|
||||
}
|
||||
@@ -49,31 +59,49 @@ fn concat(a: &[Arg], _c: &mut dyn Ctx) -> R<Value> {
|
||||
let mut out = String::new();
|
||||
for x in a {
|
||||
for v in as_array(&x.value).iter() {
|
||||
push_capped(&mut out, &v.to_text()?)?;
|
||||
push_capped(&mut out, &piece(v)?)?;
|
||||
}
|
||||
}
|
||||
check_len(out)
|
||||
}
|
||||
|
||||
/// The error `v.to_text()` would give, found without building any text.
|
||||
fn text_error(v: &Value) -> Option<CellError> {
|
||||
match v {
|
||||
Value::Error(e) => Some(*e),
|
||||
Value::Array(a) => a.data.first().and_then(text_error),
|
||||
_ => None,
|
||||
}
|
||||
}
|
||||
|
||||
fn textjoin(a: &[Arg], _c: &mut dyn Ctx) -> R<Value> {
|
||||
let delims: Vec<String> = as_array(&arg(a, 0)?.value).iter().map(|v| v.to_text()).collect::<R<_>>()?;
|
||||
// Errors are found first, in argument order, so they win as before; text is then built one
|
||||
// piece at a time into the capped output, so many references to one long text (or a long
|
||||
// delimiter list) stop at the cap instead of first copying every piece.
|
||||
let delims = as_array(&arg(a, 0)?.value);
|
||||
if let Some(e) = delims.iter().find_map(text_error) {
|
||||
return Err(e);
|
||||
}
|
||||
let ignore = boolean(a, 1)?;
|
||||
let mut items = Vec::new();
|
||||
for x in a.iter().skip(2) {
|
||||
for v in as_array(&x.value).iter() {
|
||||
let s = v.to_text()?;
|
||||
if ignore && s.is_empty() {
|
||||
continue;
|
||||
}
|
||||
items.push(s);
|
||||
}
|
||||
let items: Vec<_> = a.iter().skip(2).map(|x| as_array(&x.value)).collect();
|
||||
if let Some(e) = items.iter().flat_map(|x| x.iter()).find_map(text_error) {
|
||||
return Err(e);
|
||||
}
|
||||
let mut out = String::new();
|
||||
for (i, s) in items.iter().enumerate() {
|
||||
if i > 0 && !delims.is_empty() {
|
||||
push_capped(&mut out, &delims[(i - 1) % delims.len()])?;
|
||||
let mut joined = 0usize;
|
||||
for v in items.iter().flat_map(|x| x.iter()) {
|
||||
let s = piece(v)?;
|
||||
if ignore && s.is_empty() {
|
||||
continue;
|
||||
}
|
||||
push_capped(&mut out, s)?;
|
||||
if joined > 0
|
||||
&& !delims.data.is_empty()
|
||||
&& let Some(d) = delims.data.get((joined - 1) % delims.data.len())
|
||||
{
|
||||
push_capped(&mut out, &piece(d)?)?;
|
||||
}
|
||||
push_capped(&mut out, &s)?;
|
||||
joined += 1;
|
||||
}
|
||||
check_len(out)
|
||||
}
|
||||
@@ -1183,6 +1211,22 @@ mod tests {
|
||||
assert_eq!(rows_of(&ev("CONCATENATE", vec![av(row_t(&["a", "b"])), t("x")])), vec![vec![tv("ax"), tv("bx")]]);
|
||||
}
|
||||
|
||||
/// Security: TEXTJOIN builds its result piece by piece and stops at the text cap, rather
|
||||
/// than first copying every input (100,000 references to one 32,767-character text were
|
||||
/// 3 GB of copies). Errors among the inputs still win, in argument order.
|
||||
#[test]
|
||||
fn textjoin_stops_at_the_text_cap() {
|
||||
use gridcraft_core::Array;
|
||||
let long = tv(&"x".repeat(32_767));
|
||||
let many = || av(Array::filled(100_000, 1, long.clone()).into());
|
||||
is_err(ev("TEXTJOIN", vec![t(","), b(true), many()]), CellError::Value);
|
||||
is_err(ev("TEXTJOIN", vec![av(Array::filled(1, 100_000, long.clone()).into()), b(false), t("a"), t("b")]), CellError::Value);
|
||||
is_err(ev("TEXTJOIN", vec![t(","), b(true), many(), e(CellError::Div0)]), CellError::Div0);
|
||||
is_err(ev("TEXTJOIN", vec![av(arr(vec![vec![tv(","), Value::Error(CellError::NA)]])), b(true), t("a")]), CellError::NA);
|
||||
// Delimiters cycle and are converted only where used.
|
||||
is_text(ev("TEXTJOIN", vec![av(arr(vec![vec![nv(1.0), tv(";")]])), b(false), t("a"), t("b"), t("c"), t("d")]), "a1b;c1d");
|
||||
}
|
||||
|
||||
fn row_t(xs: &[&str]) -> Value {
|
||||
arr(vec![xs.iter().map(|x| tv(x)).collect()])
|
||||
}
|
||||
|
||||
@@ -50,6 +50,11 @@ impl SheetApp {
|
||||
self.session.mode = gridcraft_engine::Mode::Edit;
|
||||
return;
|
||||
}
|
||||
// A hidden formula's source isn't loaded into an edit (a blank edit would also write over
|
||||
// it on commit): no edit starts. Typing still replaces the cell.
|
||||
if text.is_none() && gridcraft_engine::display::formula_hidden(&d.wb, sh, at) {
|
||||
return;
|
||||
}
|
||||
let locale = self.ui.language.formula_locale();
|
||||
let current = if sh.cell_pictures.contains_key(&at) {
|
||||
String::new()
|
||||
|
||||
Reference in New Issue
Block a user