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Make Cargo and Clippy happy

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This commit is contained in:
Clément Renault
2025-04-01 10:45:42 +02:00
parent 249da5846c
commit 4d90e3d2ec
72 changed files with 145 additions and 165 deletions
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6
crates/milli/src/update/index_documents/extract/extract_fid_docid_facet_values.rs
View File

@@ -159,12 +159,10 @@ pub fn extract_fid_docid_facet_values<R: io::Read + io::Seek>(
let del_geo_support = settings_diff
.old
.geo_fields_ids
.map_or(false, |(lat, lng)| field_id == lat || field_id == lng);
.geo_fields_ids.is_some_and(|(lat, lng)| field_id == lat || field_id == lng);
let add_geo_support = settings_diff
.new
.geo_fields_ids
.map_or(false, |(lat, lng)| field_id == lat || field_id == lng);
.geo_fields_ids.is_some_and(|(lat, lng)| field_id == lat || field_id == lng);
let del_filterable_values =
del_value.map(|value| extract_facet_values(&value, del_geo_support));
let add_filterable_values =

6
crates/milli/src/update/index_documents/extract/extract_word_pair_proximity_docids.rs
View File

@@ -69,7 +69,7 @@ pub fn extract_word_pair_proximity_docids<R: io::Read + io::Seek>(
let document_id = u32::from_be_bytes(document_id_bytes);
// if we change document, we fill the sorter
if current_document_id.map_or(false, |id| id != document_id) {
if current_document_id.is_some_and(|id| id != document_id) {
// FIXME: span inside of a hot loop might degrade performance and create big reports
let span = tracing::trace_span!(target: "indexing::details", "document_into_sorter");
let _entered = span.enter();
@@ -96,7 +96,7 @@ pub fn extract_word_pair_proximity_docids<R: io::Read + io::Seek>(
if let Some(deletion) = KvReaderDelAdd::from_slice(value).get(DelAdd::Deletion) {
for (position, word) in KvReaderU16::from_slice(deletion).iter() {
// drain the proximity window until the head word is considered close to the word we are inserting.
while del_word_positions.front().map_or(false, |(_w, p)| {
while del_word_positions.front().is_some_and(|(_w, p)| {
index_proximity(*p as u32, position as u32) >= MAX_DISTANCE
}) {
word_positions_into_word_pair_proximity(
@@ -129,7 +129,7 @@ pub fn extract_word_pair_proximity_docids<R: io::Read + io::Seek>(
if let Some(addition) = KvReaderDelAdd::from_slice(value).get(DelAdd::Addition) {
for (position, word) in KvReaderU16::from_slice(addition).iter() {
// drain the proximity window until the head word is considered close to the word we are inserting.
while add_word_positions.front().map_or(false, |(_w, p)| {
while add_word_positions.front().is_some_and(|(_w, p)| {
index_proximity(*p as u32, position as u32) >= MAX_DISTANCE
}) {
word_positions_into_word_pair_proximity(

2
crates/milli/src/update/index_documents/extract/extract_word_position_docids.rs
View File

@@ -46,7 +46,7 @@ pub fn extract_word_position_docids<R: io::Read + io::Seek>(
.ok_or(SerializationError::Decoding { db_name: Some(DOCID_WORD_POSITIONS) })?;
let document_id = DocumentId::from_be_bytes(document_id_bytes);
if current_document_id.map_or(false, |id| document_id != id) {
if current_document_id.is_some_and(|id| document_id != id) {
words_position_into_sorter(
current_document_id.unwrap(),
&mut key_buffer,

2
crates/milli/src/update/index_documents/extract/mod.rs
View File

@@ -281,7 +281,7 @@ fn send_original_documents_data(
};
if !(remove_vectors.is_empty()
&& manual_vectors.is_empty()
&& embeddings.as_ref().map_or(true, |e| e.is_empty()))
&& embeddings.as_ref().is_none_or(|e| e.is_empty()))
{
let _ = lmdb_writer_sx.send(Ok(TypedChunk::VectorPoints {
remove_vectors,