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https://github.com/zed-industries/zed.git
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Improve workflow step pruning and symbol similarity matching (#16036)
This PR improves workflow step management and symbol matching. We've optimized step pruning to remove any step that intersects an edit and switched to normalized Levenshtein distance for more accurate symbol matching. Release Notes: - N/A
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355aebd0e4
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@ -33,7 +33,7 @@ use project::Project;
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use schemars::JsonSchema;
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use serde::{Deserialize, Serialize};
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use std::{
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cmp,
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cmp::{self, Ordering},
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fmt::Debug,
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iter, mem,
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ops::Range,
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@ -618,6 +618,7 @@ pub struct Context {
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telemetry: Option<Arc<Telemetry>>,
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language_registry: Arc<LanguageRegistry>,
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workflow_steps: Vec<WorkflowStep>,
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edits_since_last_workflow_step_prune: language::Subscription,
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project: Option<Model<Project>>,
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prompt_builder: Arc<PromptBuilder>,
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}
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@ -667,6 +668,8 @@ impl Context {
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});
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let edits_since_last_slash_command_parse =
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buffer.update(cx, |buffer, _| buffer.subscribe());
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let edits_since_last_workflow_step_prune =
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buffer.update(cx, |buffer, _| buffer.subscribe());
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let mut this = Self {
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id,
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timestamp: clock::Lamport::new(replica_id),
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@ -693,6 +696,7 @@ impl Context {
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project,
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language_registry,
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workflow_steps: Vec::new(),
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edits_since_last_workflow_step_prune,
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prompt_builder,
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};
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@ -1058,7 +1062,9 @@ impl Context {
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language::Event::Edited => {
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self.count_remaining_tokens(cx);
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self.reparse_slash_commands(cx);
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self.prune_invalid_workflow_steps(cx);
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// Use `inclusive = true` to invalidate a step when an edit occurs
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// at the start/end of a parsed step.
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self.prune_invalid_workflow_steps(true, cx);
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cx.emit(ContextEvent::MessagesEdited);
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}
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_ => {}
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@ -1165,24 +1171,62 @@ impl Context {
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}
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}
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fn prune_invalid_workflow_steps(&mut self, cx: &mut ModelContext<Self>) {
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let buffer = self.buffer.read(cx);
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let prev_len = self.workflow_steps.len();
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fn prune_invalid_workflow_steps(&mut self, inclusive: bool, cx: &mut ModelContext<Self>) {
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let mut removed = Vec::new();
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self.workflow_steps.retain(|step| {
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if step.tagged_range.start.is_valid(buffer) && step.tagged_range.end.is_valid(buffer) {
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true
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} else {
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removed.push(step.tagged_range.clone());
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false
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}
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});
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if self.workflow_steps.len() != prev_len {
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for edit_range in self.edits_since_last_workflow_step_prune.consume() {
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let intersecting_range = self.find_intersecting_steps(edit_range.new, inclusive, cx);
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removed.extend(
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self.workflow_steps
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.drain(intersecting_range)
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.map(|step| step.tagged_range),
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);
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}
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if !removed.is_empty() {
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cx.emit(ContextEvent::WorkflowStepsRemoved(removed));
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cx.notify();
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}
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}
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fn find_intersecting_steps(
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&self,
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range: Range<usize>,
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inclusive: bool,
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cx: &AppContext,
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) -> Range<usize> {
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let buffer = self.buffer.read(cx);
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let start_ix = match self.workflow_steps.binary_search_by(|probe| {
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probe
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.tagged_range
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.end
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.to_offset(buffer)
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.cmp(&range.start)
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.then(if inclusive {
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Ordering::Greater
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} else {
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Ordering::Less
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})
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}) {
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Ok(ix) | Err(ix) => ix,
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};
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let end_ix = match self.workflow_steps.binary_search_by(|probe| {
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probe
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.tagged_range
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.start
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.to_offset(buffer)
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.cmp(&range.end)
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.then(if inclusive {
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Ordering::Less
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} else {
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Ordering::Greater
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})
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}) {
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Ok(ix) | Err(ix) => ix,
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};
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start_ix..end_ix
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}
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fn parse_workflow_steps_in_range(
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&mut self,
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range: Range<usize>,
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@ -1248,8 +1292,12 @@ impl Context {
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self.workflow_steps.insert(index, step);
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self.resolve_workflow_step(step_range, project.clone(), cx);
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}
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// Delete <step> tags, making sure we don't accidentally invalidate
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// the step we just parsed.
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self.buffer
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.update(cx, |buffer, cx| buffer.edit(edits, None, cx));
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self.edits_since_last_workflow_step_prune.consume();
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}
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pub fn resolve_workflow_step(
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@ -1629,6 +1677,8 @@ impl Context {
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message_start_offset..message_new_end_offset
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});
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if let Some(project) = this.project.clone() {
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// Use `inclusive = false` as edits might occur at the end of a parsed step.
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this.prune_invalid_workflow_steps(false, cx);
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this.parse_workflow_steps_in_range(message_range, project, cx);
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}
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cx.emit(ContextEvent::StreamedCompletion);
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@ -84,13 +84,24 @@ impl<T> Outline<T> {
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}
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}
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/// Find the most similar symbol to the provided query according to the Jaro-Winkler distance measure.
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/// Find the most similar symbol to the provided query using normalized Levenshtein distance.
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pub fn find_most_similar(&self, query: &str) -> Option<&OutlineItem<T>> {
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let candidate = self.path_candidates.iter().max_by(|a, b| {
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strsim::jaro_winkler(&a.string, query)
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.total_cmp(&strsim::jaro_winkler(&b.string, query))
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})?;
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Some(&self.items[candidate.id])
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const SIMILARITY_THRESHOLD: f64 = 0.6;
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let (item, similarity) = self
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.items
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.iter()
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.map(|item| {
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let similarity = strsim::normalized_levenshtein(&item.text, query);
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(item, similarity)
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})
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.max_by(|(_, a), (_, b)| a.partial_cmp(b).unwrap())?;
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if similarity >= SIMILARITY_THRESHOLD {
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Some(item)
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} else {
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None
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}
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}
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/// Find all outline symbols according to a longest subsequence match with the query, ordered descending by match score.
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@ -208,3 +219,46 @@ pub fn render_item<T>(
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StyledText::new(outline_item.text.clone()).with_highlights(&text_style, highlights)
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}
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#[cfg(test)]
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mod tests {
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use super::*;
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#[test]
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fn test_find_most_similar_with_low_similarity() {
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let outline = Outline::new(vec![
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OutlineItem {
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depth: 0,
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range: Point::new(0, 0)..Point::new(5, 0),
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text: "fn process".to_string(),
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highlight_ranges: vec![],
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name_ranges: vec![3..10],
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body_range: None,
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annotation_range: None,
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},
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OutlineItem {
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depth: 0,
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range: Point::new(7, 0)..Point::new(12, 0),
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text: "struct DataProcessor".to_string(),
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highlight_ranges: vec![],
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name_ranges: vec![7..20],
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body_range: None,
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annotation_range: None,
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},
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]);
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assert_eq!(
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outline.find_most_similar("pub fn process"),
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Some(&outline.items[0])
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);
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assert_eq!(
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outline.find_most_similar("async fn process"),
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Some(&outline.items[0])
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);
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assert_eq!(
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outline.find_most_similar("struct Processor"),
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Some(&outline.items[1])
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);
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assert_eq!(outline.find_most_similar("struct User"), None);
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assert_eq!(outline.find_most_similar("struct"), None);
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}
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}
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