mirror of
https://github.com/zed-industries/zed.git
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142 lines
3.7 KiB
Rust
142 lines
3.7 KiB
Rust
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use crate::Diagnostic;
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use std::{
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cmp::{Ordering, Reverse},
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iter,
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ops::Range,
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};
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use sum_tree::{self, Bias, SumTree};
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use text::{Anchor, PointUtf16, ToOffset};
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#[derive(Clone, Default)]
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pub struct DiagnosticSet {
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diagnostics: SumTree<DiagnosticEntry>,
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}
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#[derive(Clone, Debug)]
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pub struct DiagnosticEntry {
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pub range: Range<Anchor>,
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pub diagnostic: Diagnostic,
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}
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#[derive(Clone, Debug)]
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pub struct Summary {
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start: Anchor,
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end: Anchor,
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min_start: Anchor,
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max_end: Anchor,
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count: usize,
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}
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impl DiagnosticSet {
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pub fn from_sorted_entries<I>(iter: I, buffer: &text::Snapshot) -> Self
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where
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I: IntoIterator<Item = DiagnosticEntry>,
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{
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Self {
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diagnostics: SumTree::from_iter(iter, buffer),
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}
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}
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pub fn reset<I>(&mut self, iter: I)
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where
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I: IntoIterator<Item = (Range<PointUtf16>, Diagnostic)>,
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{
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let mut entries = iter.into_iter().collect::<Vec<_>>();
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entries.sort_unstable_by_key(|(range, _)| (range.start, Reverse(range.end)));
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}
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pub fn iter(&self) -> impl Iterator<Item = &DiagnosticEntry> {
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self.diagnostics.iter()
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}
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pub fn range<'a, T>(
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&'a self,
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range: Range<T>,
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buffer: &'a text::Snapshot,
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inclusive: bool,
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) -> impl Iterator<Item = &'a DiagnosticEntry>
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where
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T: 'a + ToOffset,
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{
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let end_bias = if inclusive { Bias::Right } else { Bias::Left };
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let range = buffer.anchor_before(range.start)..buffer.anchor_at(range.end, end_bias);
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let mut cursor = self.diagnostics.filter::<_, ()>(
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{
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move |summary: &Summary| {
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let start_cmp = range.start.cmp(&summary.max_end, buffer).unwrap();
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let end_cmp = range.end.cmp(&summary.min_start, buffer).unwrap();
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if inclusive {
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start_cmp <= Ordering::Equal && end_cmp >= Ordering::Equal
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} else {
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start_cmp == Ordering::Less && end_cmp == Ordering::Greater
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}
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}
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},
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buffer,
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);
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iter::from_fn({
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move || {
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if let Some(diagnostic) = cursor.item() {
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cursor.next(buffer);
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Some(diagnostic)
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} else {
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None
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}
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}
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})
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}
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pub fn group(&self, group_id: usize) -> impl Iterator<Item = &DiagnosticEntry> {
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self.iter()
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.filter(move |entry| entry.diagnostic.group_id == group_id)
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}
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}
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impl sum_tree::Item for DiagnosticEntry {
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type Summary = Summary;
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fn summary(&self) -> Self::Summary {
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Summary {
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start: self.range.start.clone(),
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end: self.range.end.clone(),
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min_start: self.range.start.clone(),
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max_end: self.range.end.clone(),
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count: 1,
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}
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}
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}
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impl Default for Summary {
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fn default() -> Self {
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Self {
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start: Anchor::min(),
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end: Anchor::max(),
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min_start: Anchor::max(),
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max_end: Anchor::min(),
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count: 0,
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}
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}
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}
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impl sum_tree::Summary for Summary {
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type Context = text::Snapshot;
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fn add_summary(&mut self, other: &Self, buffer: &Self::Context) {
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if other
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.min_start
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.cmp(&self.min_start, buffer)
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.unwrap()
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.is_lt()
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{
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self.min_start = other.min_start.clone();
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}
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if other.max_end.cmp(&self.max_end, buffer).unwrap().is_gt() {
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self.max_end = other.max_end.clone();
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}
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self.start = other.start.clone();
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self.end = other.end.clone();
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self.count += other.count;
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}
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}
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