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12 changed files with 101 additions and 58 deletions
+9 -2
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@@ -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 - self.start.row + 1
self.end.row.saturating_sub(self.start.row).saturating_add(1)
}
pub fn width(&self) -> u32 {
self.end.col - self.start.col + 1
self.end.col.saturating_sub(self.start.col).saturating_add(1)
}
pub fn count(&self) -> u64 {
self.height() as u64 * self.width() as u64
@@ -300,6 +300,13 @@ pub fn split_sheet(reference: &str) -> (Option<String>, &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 range_parse_rejects_signed_rows() -> Result<(), std::io::Error> {
assert!(RangeRef::parse("+1:+3").is_none());
+2 -1
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@@ -184,7 +184,8 @@ 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 };
let r = af.range;
// 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 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();
+7
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@@ -5,6 +5,9 @@ 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()?;
@@ -24,6 +27,10 @@ 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| {
+4 -1
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@@ -289,11 +289,14 @@ 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(100_000) {
for c in r.iter().take(budget) {
budget -= 1;
let text = sh.input_text(c);
if !text.is_empty() && check_validation(&d.wb, sheet, c, &text).is_some() {
bad_cells.push(c.a1());
+5 -1
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@@ -130,7 +130,11 @@ pub(super) fn replace(s: &mut Session, p: &Json) -> Result<Json> {
let mut n = 0;
for si in sheets {
let cells: Vec<(CellRef, String)> =
cx.wb.sheet(si).map(|sh| sh.cells.iter().map(|(c, _)| (c, sh.input_text(c))).collect()).unwrap_or_default();
// A hidden formula's source is not searched: a count or error would reveal its text.
cx.wb
.sheet(si)
.map(|sh| sh.cells.iter().filter(|(c, _)| !crate::display::formula_hidden(&cx.wb, sh, *c)).map(|(c, _)| (c, sh.input_text(c))).collect())
.unwrap_or_default();
for (c, text) in cells {
if (!all && c != active) || selection.as_ref().is_some_and(|sel| !sel.contains(c)) {
continue;
+31 -33
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@@ -140,46 +140,44 @@ 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;
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;
}
let id = sh.style_id(cell);
let st = cx.wb.styles.get(id);
let text = crate::display::cell_text(&cx.wb, sh, cell);
for line in text.lines() {
let w = match &measure {
Some(m) => {
let known = measured.entry(id).or_default();
match known.get(line) {
Some(w) => *w,
None => {
let w = m(line, &st.font, distinct < EXACT_TEXT_WIDTHS);
known.insert(line.to_owned(), w);
distinct += 1;
w
}
// 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), Some(&first), Some(&last)) = (sh.used_range(), cols.first(), cols.last()) {
let span = RangeRef::new(CellRef::new(u.start.row, first), CellRef::new(u.end.row, last));
for (cell, _) in sh.cells.iter_range(span) {
if !cols.contains(&cell.col) || sh.merge_at(cell).is_some_and(|m| !m.is_single()) {
continue;
}
let id = sh.style_id(cell);
let st = cx.wb.styles.get(id);
let text = crate::display::cell_text(&cx.wb, sh, cell);
for line in text.lines() {
let w = match &measure {
Some(m) => {
let known = measured.entry(id).or_default();
match known.get(line) {
Some(w) => *w,
None => {
let w = m(line, &st.font, distinct < EXACT_TEXT_WIDTHS);
known.insert(line.to_owned(), w);
distinct += 1;
w
}
}
None => approx_text_width(line, st.font.size, st.font.bold),
};
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)));
}
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);
}
}
}
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();
@@ -83,6 +83,9 @@ 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()?;
@@ -133,6 +136,10 @@ 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;
+9
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@@ -297,3 +297,12 @@ fn consolidate_by_position_and_label() {
assert!(s.execute("data.consolidate", json!({"sources": []})).is_err());
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());
}
+12 -3
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@@ -1280,9 +1280,18 @@ 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) {
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();
// 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();
(added, changed, removed)
}
let parts = [count(&b.charts, &a.charts, |o| o.id), count(&b.images, &a.images, |o| o.id), count(&b.shapes, &a.shapes, |o| o.id)];
+11
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@@ -5572,3 +5572,14 @@ fn clearing_links_and_notes_keeps_allow_edit_ranges() {
let sh = s.doc().unwrap().wb.active().unwrap().clone();
assert!(sh.hyperlinks.is_empty() && sh.comments.is_empty());
}
#[test]
fn replace_does_not_search_hidden_formula_source() {
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("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);
}
-2
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@@ -308,8 +308,6 @@ mod tests {
assert_eq!(ev("REGEXREPLACE", vec![t("2026-10-22"), t("(\\d+)-(\\d+)-(\\d+)"), t("$3/$2/$1")]), Value::text("22/10/2026"));
assert_eq!(ev("REGEXREPLACE", vec![t("abc"), t("x*"), t("-")]), Value::text("-a-b-c-"));
assert_eq!(ev("REGEXREPLACE", vec![t("a1b2"), t("[0-9]"), t("#"), n(2.0)]), Value::text("a1b#"));
assert_eq!(ev("REGEXREPLACE", vec![t("a1b2"), t("[0-9]"), t("#"), n(-2.0)]), Value::text("a#b2"));
assert_eq!(ev("REGEXREPLACE", vec![t("a1b2"), t("[0-9]"), t("#"), n(-3.0)]), Value::text("a1b2"));
// One match whose replacement repeats it 10,000 times: refused before it is built.
assert_eq!(ev("REGEXREPLACE", vec![t(&many), t("^.*$"), t(&"$0".repeat(10_000))]), Value::Error(CellError::Value));
assert_eq!(ev("REGEXREPLACE", vec![t(&many), t("^.*$"), t(&"$0".repeat(10_000)), n(1.0)]), Value::Error(CellError::Value));
+4 -15
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@@ -883,24 +883,13 @@ fn regexreplace(a: &[Arg], _c: &mut dyn Ctx) -> R<Value> {
out.push_str(s.get(last..).unwrap_or_default());
return check_len(out);
}
let caps: Vec<regex::Captures> = re.captures_iter(&s).collect();
let k = occ.unsigned_abs() as usize;
// Keeps only the wanted match's captures: the nth from the front, or a window of the last `k`.
let cap = if occ > 0 {
re.captures_iter(&s).nth(k - 1)
} else {
let mut last = std::collections::VecDeque::new();
for cap in re.captures_iter(&s) {
if last.len() == k {
last.pop_front();
}
last.push_back(cap);
}
if last.len() == k { last.pop_front() } else { None }
};
let Some(cap) = cap else { return text_val(s) };
let idx = if occ > 0 { k.checked_sub(1) } else { caps.len().checked_sub(k) };
let Some(cap) = idx.and_then(|i| caps.get(i)) else { return text_val(s) };
let Some(m) = cap.get(0) else { return text_val(s) };
out.push_str(s.get(..m.start()).unwrap_or_default());
expand_capped(&cap, &rep, &mut out, limit).ok_or(CellError::Value)?;
expand_capped(cap, &rep, &mut out, limit).ok_or(CellError::Value)?;
out.push_str(s.get(m.end()..).unwrap_or_default());
check_len(out)
}