mirror of
https://github.com/quickwit-oss/tantivy.git
synced 2026-06-05 01:50:42 +00:00
allow slop in both directions (#2020)
* allow slop in both directions allow slop in both directions so "big wolf"~3 can also match "wolf big" This also fixes #1934, when the docsets were reordered by size and didn't match the terms. * remove count * add test for repeating tokens, unduplicate tests
This commit is contained in:
@@ -160,22 +160,7 @@ pub mod tests {
|
||||
#[test]
|
||||
pub fn test_phrase_score() -> crate::Result<()> {
|
||||
let index = create_index(&["a b c", "a b c a b"])?;
|
||||
let schema = index.schema();
|
||||
let text_field = schema.get_field("text").unwrap();
|
||||
let searcher = index.reader()?.searcher();
|
||||
let test_query = |texts: Vec<&str>| {
|
||||
let terms: Vec<Term> = texts
|
||||
.iter()
|
||||
.map(|text| Term::from_field_text(text_field, text))
|
||||
.collect();
|
||||
let phrase_query = PhraseQuery::new(terms);
|
||||
searcher
|
||||
.search(&phrase_query, &TEST_COLLECTOR_WITH_SCORE)
|
||||
.expect("search should succeed")
|
||||
.scores()
|
||||
.to_vec()
|
||||
};
|
||||
let scores = test_query(vec!["a", "b"]);
|
||||
let scores = test_query(0, &index, vec!["a", "b"]);
|
||||
assert_nearly_equals!(scores[0], 0.40618482);
|
||||
assert_nearly_equals!(scores[1], 0.46844664);
|
||||
Ok(())
|
||||
@@ -185,48 +170,48 @@ pub mod tests {
|
||||
#[test]
|
||||
pub fn test_phrase_score_with_slop() -> crate::Result<()> {
|
||||
let index = create_index(&["a c b", "a b c a b"])?;
|
||||
let schema = index.schema();
|
||||
let text_field = schema.get_field("text").unwrap();
|
||||
let searcher = index.reader().unwrap().searcher();
|
||||
let test_query = |texts: Vec<&str>| {
|
||||
let terms: Vec<Term> = texts
|
||||
.iter()
|
||||
.map(|text| Term::from_field_text(text_field, text))
|
||||
.collect();
|
||||
let mut phrase_query = PhraseQuery::new(terms);
|
||||
phrase_query.set_slop(1);
|
||||
searcher
|
||||
.search(&phrase_query, &TEST_COLLECTOR_WITH_SCORE)
|
||||
.expect("search should succeed")
|
||||
.scores()
|
||||
.to_vec()
|
||||
};
|
||||
let scores = test_query(vec!["a", "b"]);
|
||||
let scores = test_query(1, &index, vec!["a", "b"]);
|
||||
assert_nearly_equals!(scores[0], 0.40618482);
|
||||
assert_nearly_equals!(scores[1], 0.46844664);
|
||||
Ok(())
|
||||
}
|
||||
|
||||
#[test]
|
||||
pub fn test_phrase_score_with_slop_bug() -> crate::Result<()> {
|
||||
let index = create_index(&["asdf asdf Captain Subject Wendy", "Captain"])?;
|
||||
let scores = test_query(1, &index, vec!["captain", "wendy"]);
|
||||
assert_eq!(scores.len(), 1);
|
||||
Ok(())
|
||||
}
|
||||
|
||||
fn test_query(slop: u32, index: &Index, texts: Vec<&str>) -> Vec<f32> {
|
||||
let text_field = index.schema().get_field("text").unwrap();
|
||||
let searcher = index.reader().unwrap().searcher();
|
||||
let terms: Vec<Term> = texts
|
||||
.iter()
|
||||
.map(|text| Term::from_field_text(text_field, text))
|
||||
.collect();
|
||||
let mut phrase_query = PhraseQuery::new(terms);
|
||||
phrase_query.set_slop(slop);
|
||||
searcher
|
||||
.search(&phrase_query, &TEST_COLLECTOR_WITH_SCORE)
|
||||
.expect("search should succeed")
|
||||
.scores()
|
||||
.to_vec()
|
||||
}
|
||||
|
||||
#[test]
|
||||
pub fn test_phrase_score_with_slop_repeating() -> crate::Result<()> {
|
||||
let index = create_index(&["wendy subject subject captain", "Captain"])?;
|
||||
let scores = test_query(1, &index, vec!["wendy", "subject", "captain"]);
|
||||
assert_eq!(scores.len(), 1);
|
||||
Ok(())
|
||||
}
|
||||
|
||||
#[test]
|
||||
pub fn test_phrase_score_with_slop_size() -> crate::Result<()> {
|
||||
let index = create_index(&["a b e c", "a e e e c", "a e e e e c"])?;
|
||||
let schema = index.schema();
|
||||
let text_field = schema.get_field("text").unwrap();
|
||||
let searcher = index.reader().unwrap().searcher();
|
||||
let test_query = |texts: Vec<&str>| {
|
||||
let terms: Vec<Term> = texts
|
||||
.iter()
|
||||
.map(|text| Term::from_field_text(text_field, text))
|
||||
.collect();
|
||||
let mut phrase_query = PhraseQuery::new(terms);
|
||||
phrase_query.set_slop(3);
|
||||
searcher
|
||||
.search(&phrase_query, &TEST_COLLECTOR_WITH_SCORE)
|
||||
.expect("search should succeed")
|
||||
.scores()
|
||||
.to_vec()
|
||||
};
|
||||
let scores = test_query(vec!["a", "c"]);
|
||||
let scores = test_query(3, &index, vec!["a", "c"]);
|
||||
assert_nearly_equals!(scores[0], 0.29086056);
|
||||
assert_nearly_equals!(scores[1], 0.26706287);
|
||||
Ok(())
|
||||
@@ -237,31 +222,16 @@ pub mod tests {
|
||||
let index = create_index(&[
|
||||
"a e b e c",
|
||||
"a e e e e e b e e e e c",
|
||||
"a c b",
|
||||
"a c b", // also matches
|
||||
"a c e b e",
|
||||
"a e c b",
|
||||
"a e b c",
|
||||
])?;
|
||||
let schema = index.schema();
|
||||
let text_field = schema.get_field("text").unwrap();
|
||||
let searcher = index.reader().unwrap().searcher();
|
||||
let test_query = |texts: Vec<&str>| {
|
||||
let terms: Vec<Term> = texts
|
||||
.iter()
|
||||
.map(|text| Term::from_field_text(text_field, text))
|
||||
.collect();
|
||||
let mut phrase_query = PhraseQuery::new(terms);
|
||||
phrase_query.set_slop(3);
|
||||
searcher
|
||||
.search(&phrase_query, &TEST_COLLECTOR_WITH_SCORE)
|
||||
.expect("search should succeed")
|
||||
.scores()
|
||||
.to_vec()
|
||||
};
|
||||
let scores = test_query(vec!["a", "b", "c"]);
|
||||
let scores = test_query(3, &index, vec!["a", "b", "c"]);
|
||||
// The first and last matches.
|
||||
assert_nearly_equals!(scores[0], 0.23091172);
|
||||
assert_nearly_equals!(scores[1], 0.25024384);
|
||||
assert_nearly_equals!(scores[1], 0.27310878);
|
||||
assert_nearly_equals!(scores[3], 0.25024384);
|
||||
Ok(())
|
||||
}
|
||||
|
||||
|
||||
@@ -46,8 +46,8 @@ impl<TPostings: Postings> DocSet for PostingsWithOffset<TPostings> {
|
||||
pub struct PhraseScorer<TPostings: Postings> {
|
||||
intersection_docset: Intersection<PostingsWithOffset<TPostings>, PostingsWithOffset<TPostings>>,
|
||||
num_terms: usize,
|
||||
left: Vec<u32>,
|
||||
right: Vec<u32>,
|
||||
left_positions: Vec<u32>,
|
||||
right_positions: Vec<u32>,
|
||||
phrase_count: u32,
|
||||
fieldnorm_reader: FieldNormReader,
|
||||
similarity_weight_opt: Option<Bm25Weight>,
|
||||
@@ -104,7 +104,8 @@ pub(crate) fn intersection_count(left: &[u32], right: &[u32]) -> usize {
|
||||
/// resulting array in left.
|
||||
///
|
||||
/// Returns the length of the intersection
|
||||
fn intersection(left: &mut [u32], right: &[u32]) -> usize {
|
||||
#[inline]
|
||||
fn intersection(left: &mut Vec<u32>, right: &[u32]) {
|
||||
let mut left_index = 0;
|
||||
let mut right_index = 0;
|
||||
let mut count = 0;
|
||||
@@ -128,42 +129,36 @@ fn intersection(left: &mut [u32], right: &[u32]) -> usize {
|
||||
}
|
||||
}
|
||||
}
|
||||
count
|
||||
left.truncate(count);
|
||||
}
|
||||
|
||||
/// Intersect twos sorted arrays `left` and `right` and outputs the
|
||||
/// resulting array in left.
|
||||
/// resulting array in left_positions if update_left is true.
|
||||
///
|
||||
/// Condition for match is that the value stored in left is less than or equal to
|
||||
/// the value in right and that the distance to the previous token is lte to the slop.
|
||||
/// Condition for match is that the distance between left and right is less than or equal to `slop`.
|
||||
///
|
||||
/// Returns the length of the intersection
|
||||
fn intersection_with_slop(left: &mut [u32], right: &[u32], slop: u32) -> usize {
|
||||
#[inline]
|
||||
fn intersection_count_with_slop(
|
||||
left_positions: &mut Vec<u32>,
|
||||
right_positions: &[u32],
|
||||
slop: u32,
|
||||
update_left: bool,
|
||||
) -> usize {
|
||||
let mut left_index = 0;
|
||||
let mut right_index = 0;
|
||||
let mut count = 0;
|
||||
let left_len = left.len();
|
||||
let right_len = right.len();
|
||||
let left_len = left_positions.len();
|
||||
let right_len = right_positions.len();
|
||||
while left_index < left_len && right_index < right_len {
|
||||
let left_val = left[left_index];
|
||||
let right_val = right[right_index];
|
||||
let left_val = left_positions[left_index];
|
||||
let right_val = right_positions[right_index];
|
||||
|
||||
// The three conditions are:
|
||||
// left_val < right_slop -> left index increment.
|
||||
// right_slop <= left_val <= right -> find the best match.
|
||||
// left_val > right -> right index increment.
|
||||
let right_slop = if right_val >= slop {
|
||||
right_val - slop
|
||||
} else {
|
||||
0
|
||||
};
|
||||
|
||||
if left_val < right_slop {
|
||||
left_index += 1;
|
||||
} else if right_slop <= left_val && left_val <= right_val {
|
||||
let distance = left_val.abs_diff(right_val);
|
||||
if distance <= slop {
|
||||
while left_index + 1 < left_len {
|
||||
// there could be a better match
|
||||
let next_left_val = left[left_index + 1];
|
||||
let next_left_val = left_positions[left_index + 1];
|
||||
if next_left_val > right_val {
|
||||
// the next value is outside the range, so current one is the best.
|
||||
break;
|
||||
@@ -171,72 +166,45 @@ fn intersection_with_slop(left: &mut [u32], right: &[u32], slop: u32) -> usize {
|
||||
// the next value is better.
|
||||
left_index += 1;
|
||||
}
|
||||
|
||||
// store the match in left.
|
||||
left[count] = right_val;
|
||||
count += 1;
|
||||
left_index += 1;
|
||||
right_index += 1;
|
||||
} else if left_val > right_val {
|
||||
right_index += 1;
|
||||
}
|
||||
}
|
||||
count
|
||||
}
|
||||
|
||||
fn intersection_count_with_slop(left: &[u32], right: &[u32], slop: u32) -> usize {
|
||||
let mut left_index = 0;
|
||||
let mut right_index = 0;
|
||||
let mut count = 0;
|
||||
let left_len = left.len();
|
||||
let right_len = right.len();
|
||||
while left_index < left_len && right_index < right_len {
|
||||
let left_val = left[left_index];
|
||||
let right_val = right[right_index];
|
||||
let right_slop = if right_val >= slop {
|
||||
right_val - slop
|
||||
} else {
|
||||
0
|
||||
};
|
||||
|
||||
if left_val < right_slop {
|
||||
left_index += 1;
|
||||
} else if right_slop <= left_val && left_val <= right_val {
|
||||
while left_index + 1 < left_len {
|
||||
let next_left_val = left[left_index + 1];
|
||||
if next_left_val > right_val {
|
||||
break;
|
||||
}
|
||||
left_index += 1;
|
||||
if update_left {
|
||||
left_positions[count] = right_val;
|
||||
}
|
||||
count += 1;
|
||||
left_index += 1;
|
||||
right_index += 1;
|
||||
} else if left_val > right_val {
|
||||
} else if left_val < right_val {
|
||||
left_index += 1;
|
||||
} else {
|
||||
right_index += 1;
|
||||
}
|
||||
}
|
||||
if update_left {
|
||||
left_positions.truncate(count);
|
||||
}
|
||||
|
||||
count
|
||||
}
|
||||
|
||||
fn intersection_exists_with_slop(left: &[u32], right: &[u32], slop: u32) -> bool {
|
||||
fn intersection_exists_with_slop(
|
||||
left_positions: &[u32],
|
||||
right_positions: &[u32],
|
||||
slop: u32,
|
||||
) -> bool {
|
||||
let mut left_index = 0;
|
||||
let mut right_index = 0;
|
||||
let left_len = left.len();
|
||||
let right_len = right.len();
|
||||
let left_len = left_positions.len();
|
||||
let right_len = right_positions.len();
|
||||
while left_index < left_len && right_index < right_len {
|
||||
let left_val = left[left_index];
|
||||
let right_val = right[right_index];
|
||||
let right_slop = if right_val >= slop {
|
||||
right_val - slop
|
||||
} else {
|
||||
0
|
||||
};
|
||||
|
||||
if left_val < right_slop {
|
||||
left_index += 1;
|
||||
} else if right_slop <= left_val && left_val <= right_val {
|
||||
let left_val = left_positions[left_index];
|
||||
let right_val = right_positions[right_index];
|
||||
let distance = left_val.abs_diff(right_val);
|
||||
if distance <= slop {
|
||||
return true;
|
||||
} else if left_val > right_val {
|
||||
} else if left_val < right_val {
|
||||
left_index += 1;
|
||||
} else {
|
||||
right_index += 1;
|
||||
}
|
||||
}
|
||||
@@ -261,20 +229,20 @@ impl<TPostings: Postings> PhraseScorer<TPostings> {
|
||||
}
|
||||
|
||||
pub(crate) fn new_with_offset(
|
||||
term_postings: Vec<(usize, TPostings)>,
|
||||
term_postings_with_offset: Vec<(usize, TPostings)>,
|
||||
similarity_weight_opt: Option<Bm25Weight>,
|
||||
fieldnorm_reader: FieldNormReader,
|
||||
slop: u32,
|
||||
offset: usize,
|
||||
) -> PhraseScorer<TPostings> {
|
||||
let max_offset = term_postings
|
||||
let max_offset = term_postings_with_offset
|
||||
.iter()
|
||||
.map(|&(offset, _)| offset)
|
||||
.max()
|
||||
.unwrap_or(0)
|
||||
+ offset;
|
||||
let num_docsets = term_postings.len();
|
||||
let postings_with_offsets = term_postings
|
||||
let num_docsets = term_postings_with_offset.len();
|
||||
let postings_with_offsets = term_postings_with_offset
|
||||
.into_iter()
|
||||
.map(|(offset, postings)| {
|
||||
PostingsWithOffset::new(postings, (max_offset - offset) as u32)
|
||||
@@ -283,8 +251,8 @@ impl<TPostings: Postings> PhraseScorer<TPostings> {
|
||||
let mut scorer = PhraseScorer {
|
||||
intersection_docset: Intersection::new(postings_with_offsets),
|
||||
num_terms: num_docsets,
|
||||
left: Vec::with_capacity(100),
|
||||
right: Vec::with_capacity(100),
|
||||
left_positions: Vec::with_capacity(100),
|
||||
right_positions: Vec::with_capacity(100),
|
||||
phrase_count: 0u32,
|
||||
similarity_weight_opt,
|
||||
fieldnorm_reader,
|
||||
@@ -301,8 +269,8 @@ impl<TPostings: Postings> PhraseScorer<TPostings> {
|
||||
}
|
||||
|
||||
pub(crate) fn get_intersection(&mut self) -> &[u32] {
|
||||
let len = intersection(&mut self.left, &self.right);
|
||||
&self.left[..len]
|
||||
intersection(&mut self.left_positions, &self.right_positions);
|
||||
&self.left_positions
|
||||
}
|
||||
|
||||
fn phrase_match(&mut self) -> bool {
|
||||
@@ -316,59 +284,61 @@ impl<TPostings: Postings> PhraseScorer<TPostings> {
|
||||
}
|
||||
|
||||
fn phrase_exists(&mut self) -> bool {
|
||||
let intersection_len = self.compute_phrase_match();
|
||||
self.compute_phrase_match();
|
||||
if self.has_slop() {
|
||||
return intersection_exists_with_slop(
|
||||
&self.left[..intersection_len],
|
||||
&self.right[..],
|
||||
intersection_exists_with_slop(
|
||||
&self.left_positions,
|
||||
&self.right_positions[..],
|
||||
self.slop,
|
||||
);
|
||||
)
|
||||
} else {
|
||||
intersection_exists(&self.left_positions, &self.right_positions[..])
|
||||
}
|
||||
intersection_exists(&self.left[..intersection_len], &self.right[..])
|
||||
}
|
||||
|
||||
fn compute_phrase_count(&mut self) -> u32 {
|
||||
let intersection_len = self.compute_phrase_match();
|
||||
self.compute_phrase_match();
|
||||
if self.has_slop() {
|
||||
return intersection_count_with_slop(
|
||||
&self.left[..intersection_len],
|
||||
&self.right[..],
|
||||
intersection_count_with_slop(
|
||||
&mut self.left_positions,
|
||||
&self.right_positions[..],
|
||||
self.slop,
|
||||
) as u32;
|
||||
false,
|
||||
) as u32
|
||||
} else {
|
||||
intersection_count(&self.left_positions, &self.right_positions[..]) as u32
|
||||
}
|
||||
intersection_count(&self.left[..intersection_len], &self.right[..]) as u32
|
||||
}
|
||||
|
||||
fn compute_phrase_match(&mut self) -> usize {
|
||||
fn compute_phrase_match(&mut self) {
|
||||
{
|
||||
self.intersection_docset
|
||||
.docset_mut_specialized(0)
|
||||
.positions(&mut self.left);
|
||||
.positions(&mut self.left_positions);
|
||||
}
|
||||
let mut intersection_len = self.left.len();
|
||||
for i in 1..self.num_terms - 1 {
|
||||
{
|
||||
self.intersection_docset
|
||||
.docset_mut_specialized(i)
|
||||
.positions(&mut self.right);
|
||||
.positions(&mut self.right_positions);
|
||||
}
|
||||
intersection_len = if self.has_slop() {
|
||||
intersection_with_slop(
|
||||
&mut self.left[..intersection_len],
|
||||
&self.right[..],
|
||||
if self.has_slop() {
|
||||
intersection_count_with_slop(
|
||||
&mut self.left_positions,
|
||||
&self.right_positions[..],
|
||||
self.slop,
|
||||
)
|
||||
true,
|
||||
);
|
||||
} else {
|
||||
intersection(&mut self.left[..intersection_len], &self.right[..])
|
||||
intersection(&mut self.left_positions, &self.right_positions);
|
||||
};
|
||||
if intersection_len == 0 {
|
||||
return 0;
|
||||
if self.left_positions.is_empty() {
|
||||
return;
|
||||
}
|
||||
}
|
||||
self.intersection_docset
|
||||
.docset_mut_specialized(self.num_terms - 1)
|
||||
.positions(&mut self.right);
|
||||
intersection_len
|
||||
.positions(&mut self.right_positions);
|
||||
}
|
||||
|
||||
fn has_slop(&self) -> bool {
|
||||
@@ -418,7 +388,7 @@ impl<TPostings: Postings> Scorer for PhraseScorer<TPostings> {
|
||||
|
||||
#[cfg(test)]
|
||||
mod tests {
|
||||
use super::{intersection, intersection_count, intersection_with_slop};
|
||||
use super::{intersection, intersection_count, intersection_count_with_slop};
|
||||
|
||||
fn test_intersection_sym(left: &[u32], right: &[u32], expected: &[u32]) {
|
||||
test_intersection_aux(left, right, expected, 0);
|
||||
@@ -427,18 +397,16 @@ mod tests {
|
||||
|
||||
fn test_intersection_aux(left: &[u32], right: &[u32], expected: &[u32], slop: u32) {
|
||||
let mut left_vec = Vec::from(left);
|
||||
let left_mut = &mut left_vec[..];
|
||||
if slop == 0 {
|
||||
let left_mut = &mut left_vec[..];
|
||||
assert_eq!(intersection_count(left_mut, right), expected.len());
|
||||
let count = intersection(left_mut, right);
|
||||
assert_eq!(&left_mut[..count], expected);
|
||||
return;
|
||||
assert_eq!(intersection_count(&left_vec, right), expected.len());
|
||||
intersection(&mut left_vec, right);
|
||||
assert_eq!(&left_vec, expected);
|
||||
} else {
|
||||
let mut right_vec = Vec::from(right);
|
||||
let right_mut = &mut right_vec[..];
|
||||
intersection_count_with_slop(&mut left_vec, right_mut, slop, true);
|
||||
assert_eq!(&left_vec, expected);
|
||||
}
|
||||
let mut right_vec = Vec::from(right);
|
||||
let right_mut = &mut right_vec[..];
|
||||
let count = intersection_with_slop(left_mut, right_mut, slop);
|
||||
assert_eq!(&left_mut[..count], expected);
|
||||
}
|
||||
|
||||
#[test]
|
||||
@@ -456,20 +424,19 @@ mod tests {
|
||||
test_intersection_aux(&[1], &[3], &[], 1);
|
||||
test_intersection_aux(&[1], &[3], &[3], 2);
|
||||
test_intersection_aux(&[], &[2], &[], 100000);
|
||||
test_intersection_aux(&[5, 7, 11], &[1, 5, 10, 12], &[5, 12], 1);
|
||||
test_intersection_aux(&[1, 5, 6, 9, 10, 12], &[6, 8, 9, 12], &[6, 9, 12], 1);
|
||||
test_intersection_aux(&[1, 5, 6, 9, 10, 12], &[6, 8, 9, 12], &[6, 9, 12], 10);
|
||||
test_intersection_aux(&[5, 7, 11], &[1, 5, 10, 12], &[5, 10], 1);
|
||||
test_intersection_aux(&[1, 5, 6, 9, 10, 12], &[6, 8, 9, 12], &[6, 8, 9, 12], 1);
|
||||
test_intersection_aux(&[1, 5, 6, 9, 10, 12], &[6, 8, 9, 12], &[6, 8, 9, 12], 10);
|
||||
test_intersection_aux(&[1, 3, 5], &[2, 4, 6], &[2, 4, 6], 1);
|
||||
test_intersection_aux(&[1, 3, 5], &[2, 4, 6], &[], 0);
|
||||
}
|
||||
|
||||
fn test_merge(left: &[u32], right: &[u32], expected_left: &[u32], slop: u32) {
|
||||
let mut left_vec = Vec::from(left);
|
||||
let left_mut = &mut left_vec[..];
|
||||
let mut right_vec = Vec::from(right);
|
||||
let right_mut = &mut right_vec[..];
|
||||
let count = intersection_with_slop(left_mut, right_mut, slop);
|
||||
assert_eq!(&left_mut[..count], expected_left);
|
||||
intersection_count_with_slop(&mut left_vec, right_mut, slop, true);
|
||||
assert_eq!(&left_vec, expected_left);
|
||||
}
|
||||
|
||||
#[test]
|
||||
@@ -477,7 +444,7 @@ mod tests {
|
||||
test_merge(&[1, 2], &[1], &[1], 1);
|
||||
test_merge(&[3], &[4], &[4], 2);
|
||||
test_merge(&[3], &[4], &[4], 2);
|
||||
test_merge(&[1, 5, 6, 9, 10, 12], &[6, 8, 9, 12], &[6, 9, 12], 10);
|
||||
test_merge(&[1, 5, 6, 9, 10, 12], &[6, 8, 9, 12], &[6, 8, 9, 12], 10);
|
||||
}
|
||||
}
|
||||
|
||||
@@ -490,8 +457,10 @@ mod bench {
|
||||
|
||||
#[bench]
|
||||
fn bench_intersection_short(b: &mut Bencher) {
|
||||
let mut left = Vec::new();
|
||||
b.iter(|| {
|
||||
let mut left = [1, 5, 10, 12];
|
||||
left.clear();
|
||||
left.extend_from_slice(&[1, 5, 10, 12]);
|
||||
let right = [5, 7];
|
||||
intersection(&mut left, &right);
|
||||
});
|
||||
|
||||
Reference in New Issue
Block a user