searchengines-web/MeiliSearch
searchengines-web/MeiliSearch
1
0
Fork 0
mirror of https://github.com/meilisearch/MeiliSearch synced 2024-11-25 14:24:26 +01:00
Code Issues Releases Wiki Activity

Fix the clippy warnings

Browse Source
This commit is contained in:
Clément Renault 2023-04-25 16:40:32 +02:00
parent e0730b55b3
commit cfd1b2cc97
No known key found for this signature in database
GPG Key ID: 92ADA4E935E71FA4
11 changed files with 64 additions and 68 deletions
Show Stats Download Patch File Download Diff File Expand all files Collapse all files

1
dump/src/reader/compat/v2_to_v3.rs
View File

@ -25,7 +25,6 @@ impl CompatV2ToV3 {
CompatV2ToV3::Compat(compat) => compat.index_uuid(),
};
v2_uuids
.into_iter()
.into_iter()
.map(|index| v3::meta::IndexUuid { uid: index.uid, uuid: index.uuid })
.collect()

3
meilisearch/tests/documents/add_documents.rs
View File

@ -1773,7 +1773,7 @@ async fn error_add_documents_payload_size() {
"content": "Lorem ipsum dolor sit amet, consectetur adipiscing elit. Donec metus erat, consequat in blandit venenatis, ultricies eu ipsum. Etiam luctus elit et mollis ultrices. Nam turpis risus, dictum non eros in, eleifend feugiat elit. Morbi non dolor pulvinar, sagittis mi sed, ultricies lorem. Nulla ultricies sem metus. Donec at suscipit quam, sed elementum mi. Suspendisse potenti. Fusce pharetra turpis tortor, sed eleifend odio dapibus ut. Nulla facilisi. Suspendisse elementum, dui eget aliquet dignissim, ex tellus aliquam nisl, at eleifend nisl metus tempus diam. Mauris fermentum sollicitudin efficitur. Donec dignissim est vitae elit finibus faucibus"
}
);
let documents: Vec<_> = (0..16000).into_iter().map(|_| document.clone()).collect();
let documents: Vec<_> = (0..16000).map(|_| document.clone()).collect();
let documents = json!(documents);
let (response, code) = index.add_documents(documents, None).await;
@ -1934,7 +1934,6 @@ async fn batch_several_documents_addition() {
let index = server.index("test");
let mut documents: Vec<_> = (0..150usize)
.into_iter()
.map(|id| {
json!(
{

34
milli/src/search/criteria/exactness.rs
View File

@ -561,7 +561,7 @@ mod tests {
#[test]
fn compute_combinations_1() {
let b0: RoaringBitmap = (0..).into_iter().map(|x| 2 * x).take_while(|x| *x < 150).collect();
let b0: RoaringBitmap = (0..).map(|x| 2 * x).take_while(|x| *x < 150).collect();
let parts_candidates = vec![b0];
@ -575,8 +575,8 @@ mod tests {
#[test]
fn compute_combinations_2() {
let b0: RoaringBitmap = (0..).into_iter().map(|x| 2 * x).take_while(|x| *x < 150).collect();
let b1: RoaringBitmap = (0..).into_iter().map(|x| 3 * x).take_while(|x| *x < 150).collect();
let b0: RoaringBitmap = (0..).map(|x| 2 * x).take_while(|x| *x < 150).collect();
let b1: RoaringBitmap = (0..).map(|x| 3 * x).take_while(|x| *x < 150).collect();
let parts_candidates = vec![b0, b1];
@ -589,10 +589,10 @@ mod tests {
#[test]
fn compute_combinations_4() {
let b0: RoaringBitmap = (0..).into_iter().map(|x| 2 * x).take_while(|x| *x < 150).collect();
let b1: RoaringBitmap = (0..).into_iter().map(|x| 3 * x).take_while(|x| *x < 150).collect();
let b2: RoaringBitmap = (0..).into_iter().map(|x| 5 * x).take_while(|x| *x < 150).collect();
let b3: RoaringBitmap = (0..).into_iter().map(|x| 7 * x).take_while(|x| *x < 150).collect();
let b0: RoaringBitmap = (0..).map(|x| 2 * x).take_while(|x| *x < 150).collect();
let b1: RoaringBitmap = (0..).map(|x| 3 * x).take_while(|x| *x < 150).collect();
let b2: RoaringBitmap = (0..).map(|x| 5 * x).take_while(|x| *x < 150).collect();
let b3: RoaringBitmap = (0..).map(|x| 7 * x).take_while(|x| *x < 150).collect();
let parts_candidates = vec![b0, b1, b2, b3];
@ -610,10 +610,10 @@ mod tests {
}
#[test]
fn compute_combinations_4_with_empty_results_at_end() {
let b0: RoaringBitmap = (1..).into_iter().map(|x| 2 * x).take_while(|x| *x < 150).collect();
let b1: RoaringBitmap = (1..).into_iter().map(|x| 3 * x).take_while(|x| *x < 150).collect();
let b2: RoaringBitmap = (1..).into_iter().map(|x| 5 * x).take_while(|x| *x < 150).collect();
let b3: RoaringBitmap = (1..).into_iter().map(|x| 7 * x).take_while(|x| *x < 150).collect();
let b0: RoaringBitmap = (1..).map(|x| 2 * x).take_while(|x| *x < 150).collect();
let b1: RoaringBitmap = (1..).map(|x| 3 * x).take_while(|x| *x < 150).collect();
let b2: RoaringBitmap = (1..).map(|x| 5 * x).take_while(|x| *x < 150).collect();
let b3: RoaringBitmap = (1..).map(|x| 7 * x).take_while(|x| *x < 150).collect();
let parts_candidates = vec![b0, b1, b2, b3];
@ -632,11 +632,11 @@ mod tests {
#[test]
fn compute_combinations_4_with_some_equal_bitmaps() {
let b0: RoaringBitmap = (0..).into_iter().map(|x| 2 * x).take_while(|x| *x < 150).collect();
let b1: RoaringBitmap = (0..).into_iter().map(|x| 3 * x).take_while(|x| *x < 150).collect();
let b2: RoaringBitmap = (0..).into_iter().map(|x| 5 * x).take_while(|x| *x < 150).collect();
let b0: RoaringBitmap = (0..).map(|x| 2 * x).take_while(|x| *x < 150).collect();
let b1: RoaringBitmap = (0..).map(|x| 3 * x).take_while(|x| *x < 150).collect();
let b2: RoaringBitmap = (0..).map(|x| 5 * x).take_while(|x| *x < 150).collect();
// b3 == b1
let b3: RoaringBitmap = (0..).into_iter().map(|x| 3 * x).take_while(|x| *x < 150).collect();
let b3: RoaringBitmap = (0..).map(|x| 3 * x).take_while(|x| *x < 150).collect();
let parts_candidates = vec![b0, b1, b2, b3];
@ -659,7 +659,7 @@ mod tests {
let parts_candidates: Vec<RoaringBitmap> = dividers
.iter()
.map(|&divider| {
(0..).into_iter().map(|x| divider * x).take_while(|x| *x <= 210).collect()
(0..).map(|x| divider * x).take_while(|x| *x <= 210).collect()
})
.collect();
@ -689,7 +689,7 @@ mod tests {
let parts_candidates: Vec<RoaringBitmap> = dividers
.iter()
.map(|divider| {
(0..).into_iter().map(|x| divider * x).take_while(|x| *x <= 100).collect()
(0..).map(|x| divider * x).take_while(|x| *x <= 100).collect()
})
.collect();

38
milli/src/search/facet/facet_distribution.rs
View File

@ -505,7 +505,7 @@ mod tests {
let map = FacetDistribution::new(&txn, &index)
.facets(std::iter::once("colour"))
.candidates((0..10_000).into_iter().collect())
.candidates((0..10_000).collect())
.execute()
.unwrap();
@ -513,7 +513,7 @@ mod tests {
let map = FacetDistribution::new(&txn, &index)
.facets(std::iter::once("colour"))
.candidates((0..5_000).into_iter().collect())
.candidates((0..5_000).collect())
.execute()
.unwrap();
@ -521,7 +521,7 @@ mod tests {
let map = FacetDistribution::new(&txn, &index)
.facets(std::iter::once("colour"))
.candidates((0..5_000).into_iter().collect())
.candidates((0..5_000).collect())
.execute()
.unwrap();
@ -529,7 +529,7 @@ mod tests {
let map = FacetDistribution::new(&txn, &index)
.facets(std::iter::once("colour"))
.candidates((0..5_000).into_iter().collect())
.candidates((0..5_000).collect())
.max_values_per_facet(1)
.execute()
.unwrap();
@ -546,7 +546,7 @@ mod tests {
.update_settings(|settings| settings.set_filterable_fields(hashset! { S("colour") }))
.unwrap();
let facet_values = (0..1000).into_iter().map(|x| format!("{x:x}")).collect::<Vec<_>>();
let facet_values = (0..1000).map(|x| format!("{x:x}")).collect::<Vec<_>>();
let mut documents = vec![];
for i in 0..10_000 {
@ -582,7 +582,7 @@ mod tests {
let map = FacetDistribution::new(&txn, &index)
.facets(std::iter::once("colour"))
.candidates((0..10_000).into_iter().collect())
.candidates((0..10_000).collect())
.execute()
.unwrap();
@ -590,7 +590,7 @@ mod tests {
let map = FacetDistribution::new(&txn, &index)
.facets(std::iter::once("colour"))
.candidates((0..5_000).into_iter().collect())
.candidates((0..5_000).collect())
.execute()
.unwrap();
@ -606,7 +606,7 @@ mod tests {
.update_settings(|settings| settings.set_filterable_fields(hashset! { S("colour") }))
.unwrap();
let facet_values = (0..1000).into_iter().collect::<Vec<_>>();
let facet_values = (0..1000).collect::<Vec<_>>();
let mut documents = vec![];
for i in 0..1000 {
@ -634,7 +634,7 @@ mod tests {
let map = FacetDistribution::new(&txn, &index)
.facets(std::iter::once("colour"))
.candidates((0..1000).into_iter().collect())
.candidates((0..1000).collect())
.compute_stats()
.unwrap();
@ -642,7 +642,7 @@ mod tests {
let map = FacetDistribution::new(&txn, &index)
.facets(std::iter::once("colour"))
.candidates((217..777).into_iter().collect())
.candidates((217..777).collect())
.compute_stats()
.unwrap();
@ -658,7 +658,7 @@ mod tests {
.update_settings(|settings| settings.set_filterable_fields(hashset! { S("colour") }))
.unwrap();
let facet_values = (0..1000).into_iter().collect::<Vec<_>>();
let facet_values = (0..1000).collect::<Vec<_>>();
let mut documents = vec![];
for i in 0..1000 {
@ -686,7 +686,7 @@ mod tests {
let map = FacetDistribution::new(&txn, &index)
.facets(std::iter::once("colour"))
.candidates((0..1000).into_iter().collect())
.candidates((0..1000).collect())
.compute_stats()
.unwrap();
@ -694,7 +694,7 @@ mod tests {
let map = FacetDistribution::new(&txn, &index)
.facets(std::iter::once("colour"))
.candidates((217..777).into_iter().collect())
.candidates((217..777).collect())
.compute_stats()
.unwrap();
@ -710,7 +710,7 @@ mod tests {
.update_settings(|settings| settings.set_filterable_fields(hashset! { S("colour") }))
.unwrap();
let facet_values = (0..1000).into_iter().collect::<Vec<_>>();
let facet_values = (0..1000).collect::<Vec<_>>();
let mut documents = vec![];
for i in 0..1000 {
@ -738,7 +738,7 @@ mod tests {
let map = FacetDistribution::new(&txn, &index)
.facets(std::iter::once("colour"))
.candidates((0..1000).into_iter().collect())
.candidates((0..1000).collect())
.compute_stats()
.unwrap();
@ -746,7 +746,7 @@ mod tests {
let map = FacetDistribution::new(&txn, &index)
.facets(std::iter::once("colour"))
.candidates((217..777).into_iter().collect())
.candidates((217..777).collect())
.compute_stats()
.unwrap();
@ -762,7 +762,7 @@ mod tests {
.update_settings(|settings| settings.set_filterable_fields(hashset! { S("colour") }))
.unwrap();
let facet_values = (0..1000).into_iter().collect::<Vec<_>>();
let facet_values = (0..1000).collect::<Vec<_>>();
let mut documents = vec![];
for i in 0..1000 {
@ -794,7 +794,7 @@ mod tests {
let map = FacetDistribution::new(&txn, &index)
.facets(std::iter::once("colour"))
.candidates((0..1000).into_iter().collect())
.candidates((0..1000).collect())
.compute_stats()
.unwrap();
@ -802,7 +802,7 @@ mod tests {
let map = FacetDistribution::new(&txn, &index)
.facets(std::iter::once("colour"))
.candidates((217..777).into_iter().collect())
.candidates((217..777).collect())
.compute_stats()
.unwrap();

4
milli/src/search/facet/facet_distribution_iter.rs
View File

@ -142,7 +142,7 @@ mod tests {
let indexes = [get_simple_index(), get_random_looking_index()];
for (i, index) in indexes.iter().enumerate() {
let txn = index.env.read_txn().unwrap();
let candidates = (0..=255).into_iter().collect::<RoaringBitmap>();
let candidates = (0..=255).collect::<RoaringBitmap>();
let mut results = String::new();
iterate_over_facet_distribution(
&txn,
@ -166,7 +166,7 @@ mod tests {
let indexes = [get_simple_index(), get_random_looking_index()];
for (i, index) in indexes.iter().enumerate() {
let txn = index.env.read_txn().unwrap();
let candidates = (0..=255).into_iter().collect::<RoaringBitmap>();
let candidates = (0..=255).collect::<RoaringBitmap>();
let mut results = String::new();
let mut nbr_facets = 0;
iterate_over_facet_distribution(

8
milli/src/search/facet/facet_range_search.rs
View File

@ -410,7 +410,7 @@ mod tests {
let mut results = String::new();
for i in (0..=255).into_iter().rev() {
for i in (0..=255).rev() {
let i = i as f64;
let start = Bound::Included(i);
let end = Bound::Included(255.);
@ -431,7 +431,7 @@ mod tests {
let mut results = String::new();
for i in (0..=255).into_iter().rev() {
for i in (0..=255).rev() {
let i = i as f64;
let start = Bound::Excluded(i);
let end = Bound::Excluded(255.);
@ -466,7 +466,7 @@ mod tests {
let mut results = String::new();
for i in (0..=128).into_iter().rev() {
for i in (0..=128).rev() {
let i = i as f64;
let start = Bound::Included(i);
let end = Bound::Included(255. - i);
@ -491,7 +491,7 @@ mod tests {
let mut results = String::new();
for i in (0..=128).into_iter().rev() {
for i in (0..=128).rev() {
let i = i as f64;
let start = Bound::Excluded(i);
let end = Bound::Excluded(255. - i);

4
milli/src/search/facet/facet_sort_ascending.rs
View File

@ -132,7 +132,7 @@ mod tests {
let indexes = [get_simple_index(), get_random_looking_index()];
for (i, index) in indexes.iter().enumerate() {
let txn = index.env.read_txn().unwrap();
let candidates = (200..=300).into_iter().collect::<RoaringBitmap>();
let candidates = (200..=300).collect::<RoaringBitmap>();
let mut results = String::new();
let iter = ascending_facet_sort(&txn, index.content, 0, candidates).unwrap();
for el in iter {
@ -154,7 +154,7 @@ mod tests {
];
for (i, index) in indexes.iter().enumerate() {
let txn = index.env.read_txn().unwrap();
let candidates = (200..=300).into_iter().collect::<RoaringBitmap>();
let candidates = (200..=300).collect::<RoaringBitmap>();
let mut results = String::new();
let iter = ascending_facet_sort(&txn, index.content, 0, candidates.clone()).unwrap();
for el in iter {

4
milli/src/search/facet/facet_sort_descending.rs
View File

@ -142,7 +142,7 @@ mod tests {
];
for (i, index) in indexes.iter().enumerate() {
let txn = index.env.read_txn().unwrap();
let candidates = (200..=300).into_iter().collect::<RoaringBitmap>();
let candidates = (200..=300).collect::<RoaringBitmap>();
let mut results = String::new();
let db = index.content.remap_key_type::<FacetGroupKeyCodec<ByteSliceRefCodec>>();
let iter = descending_facet_sort(&txn, db, 0, candidates).unwrap();
@ -165,7 +165,7 @@ mod tests {
];
for (i, index) in indexes.iter().enumerate() {
let txn = index.env.read_txn().unwrap();
let candidates = (200..=300).into_iter().collect::<RoaringBitmap>();
let candidates = (200..=300).collect::<RoaringBitmap>();
let mut results = String::new();
let db = index.content.remap_key_type::<FacetGroupKeyCodec<ByteSliceRefCodec>>();
let iter = descending_facet_sort(&txn, db, 0, candidates.clone()).unwrap();

3
milli/src/search/query_tree.rs
View File

@ -629,7 +629,7 @@ fn create_matching_words(
// create a CONSECUTIVE matchings words wrapping all word in the phrase
PrimitiveQueryPart::Phrase(words) => {
let ids: Vec<_> =
(0..words.len()).into_iter().map(|i| id + i as PrimitiveWordId).collect();
(0..words.len()).map(|i| id + i as PrimitiveWordId).collect();
// Require that all words of the phrase have a corresponding MatchingWord
// before adding any of them to the matching_words result
if let Some(phrase_matching_words) = words
@ -687,7 +687,6 @@ fn create_matching_words(
})
.collect();
let ids: Vec<_> = (0..words.len())
.into_iter()
.map(|i| id + i as PrimitiveWordId)
.collect();

32
milli/src/update/facet/incremental.rs
View File

@ -699,21 +699,21 @@ mod tests {
#[test]
fn many_field_ids_prepend() {
let index = FacetIndex::<OrderedF64Codec>::new(4, 8, 5);
for i in (0..256).into_iter().rev() {
for i in (0..256).rev() {
let mut bitmap = RoaringBitmap::new();
bitmap.insert(i as u32);
let mut txn = index.env.write_txn().unwrap();
index.insert(&mut txn, 0, &(i as f64), &bitmap);
txn.commit().unwrap();
}
for i in (0..256).into_iter().rev() {
for i in (0..256).rev() {
let mut bitmap = RoaringBitmap::new();
bitmap.insert(i as u32);
let mut txn = index.env.write_txn().unwrap();
index.insert(&mut txn, 2, &(i as f64), &bitmap);
txn.commit().unwrap();
}
for i in (0..256).into_iter().rev() {
for i in (0..256).rev() {
let mut bitmap = RoaringBitmap::new();
bitmap.insert(i as u32);
let mut txn = index.env.write_txn().unwrap();
@ -733,7 +733,7 @@ mod tests {
let index = FacetIndex::<OrderedF64Codec>::new(4, 8, 5);
let mut txn = index.env.write_txn().unwrap();
for i in (0..256).into_iter().rev() {
for i in (0..256).rev() {
let mut bitmap = RoaringBitmap::new();
bitmap.insert(i);
index.insert(&mut txn, 0, &(i as f64), &bitmap);
@ -749,7 +749,7 @@ mod tests {
let index = FacetIndex::<OrderedF64Codec>::new(4, 8, 5);
let mut txn = index.env.write_txn().unwrap();
let mut keys = (0..256).into_iter().collect::<Vec<_>>();
let mut keys = (0..256).collect::<Vec<_>>();
let mut rng = rand::rngs::SmallRng::from_seed([0; 32]);
keys.shuffle(&mut rng);
@ -768,7 +768,7 @@ mod tests {
let index = FacetIndex::<OrderedF64Codec>::new(4, 8, 5);
let mut txn = index.env.write_txn().unwrap();
let mut keys = (0..256).into_iter().collect::<Vec<_>>();
let mut keys = (0..256).collect::<Vec<_>>();
let mut rng = rand::rngs::SmallRng::from_seed([0; 32]);
keys.shuffle(&mut rng);
@ -796,7 +796,7 @@ mod tests {
index.insert(&mut txn, 0, &(i as f64), &bitmap);
}
for i in (200..256).into_iter().rev() {
for i in (200..256).rev() {
index.verify_structure_validity(&txn, 0);
index.delete_single_docid(&mut txn, 0, &(i as f64), i as u32);
}
@ -805,7 +805,7 @@ mod tests {
milli_snap!(format!("{index}"), 200);
let mut txn = index.env.write_txn().unwrap();
for i in (150..200).into_iter().rev() {
for i in (150..200).rev() {
index.verify_structure_validity(&txn, 0);
index.delete_single_docid(&mut txn, 0, &(i as f64), i as u32);
}
@ -813,7 +813,7 @@ mod tests {
txn.commit().unwrap();
milli_snap!(format!("{index}"), 150);
let mut txn = index.env.write_txn().unwrap();
for i in (100..150).into_iter().rev() {
for i in (100..150).rev() {
index.verify_structure_validity(&txn, 0);
index.delete_single_docid(&mut txn, 0, &(i as f64), i as u32);
}
@ -821,7 +821,7 @@ mod tests {
txn.commit().unwrap();
milli_snap!(format!("{index}"), 100);
let mut txn = index.env.write_txn().unwrap();
for i in (17..100).into_iter().rev() {
for i in (17..100).rev() {
index.verify_structure_validity(&txn, 0);
index.delete_single_docid(&mut txn, 0, &(i as f64), i as u32);
}
@ -829,14 +829,14 @@ mod tests {
txn.commit().unwrap();
milli_snap!(format!("{index}"), 17);
let mut txn = index.env.write_txn().unwrap();
for i in (15..17).into_iter().rev() {
for i in (15..17).rev() {
index.delete_single_docid(&mut txn, 0, &(i as f64), i as u32);
}
index.verify_structure_validity(&txn, 0);
txn.commit().unwrap();
milli_snap!(format!("{index}"), 15);
let mut txn = index.env.write_txn().unwrap();
for i in (0..15).into_iter().rev() {
for i in (0..15).rev() {
index.verify_structure_validity(&txn, 0);
index.delete_single_docid(&mut txn, 0, &(i as f64), i as u32);
}
@ -893,7 +893,7 @@ mod tests {
index.insert(&mut txn, 0, &(i as f64), &bitmap);
}
let mut keys = (0..256).into_iter().collect::<Vec<_>>();
let mut keys = (0..256).collect::<Vec<_>>();
let mut rng = rand::rngs::SmallRng::from_seed([0; 32]);
keys.shuffle(&mut rng);
@ -930,7 +930,7 @@ mod tests {
let index = FacetIndex::<OrderedF64Codec>::new(4, 8, 5);
let mut txn = index.env.write_txn().unwrap();
let mut keys = (0..16).into_iter().collect::<Vec<_>>();
let mut keys = (0..16).collect::<Vec<_>>();
let mut rng = rand::rngs::SmallRng::from_seed([0; 32]);
keys.shuffle(&mut rng);
for i in 0..4 {
@ -951,7 +951,7 @@ mod tests {
let index = FacetIndex::<OrderedF64Codec>::new(4, 8, 5);
let mut txn = index.env.write_txn().unwrap();
let mut keys = (0..64).into_iter().collect::<Vec<_>>();
let mut keys = (0..64).collect::<Vec<_>>();
let mut rng = rand::rngs::SmallRng::from_seed([0; 32]);
keys.shuffle(&mut rng);
@ -983,7 +983,7 @@ mod tests {
let index = FacetIndex::<StrRefCodec>::new(4, 8, 5);
let mut txn = index.env.write_txn().unwrap();
let mut keys = (1000..1064).into_iter().collect::<Vec<_>>();
let mut keys = (1000..1064).collect::<Vec<_>>();
let mut rng = rand::rngs::SmallRng::from_seed([0; 32]);
keys.shuffle(&mut rng);

1
milli/src/update/index_documents/mod.rs
View File

@ -1613,7 +1613,6 @@ mod tests {
// Create 200 documents with a long text
let content = {
let documents_iter = (0..200i32)
.into_iter()
.map(|i| serde_json::json!({ "id": i, "script": script }))
.filter_map(|json| match json {
serde_json::Value::Object(object) => Some(object),