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Fix cargo clippy errors
Dont apply clippy for tests for now Fix clippy warnings of filter-parser package parent 8352febd646ec4bcf56a44161e5c4dce0e55111f author unvalley <38400669+unvalley@users.noreply.github.com> 1666325847 +0900 committer unvalley <kirohi.code@gmail.com> 1666791316 +0900 Update .github/workflows/rust.yml Co-authored-by: Clémentine Urquizar - curqui <clementine@meilisearch.com> Allow clippy lint too_many_argments Allow clippy lint needless_collect Allow clippy lint too_many_arguments and type_complexity Fix for clippy warnings comparison_chains Fix for clippy warnings vec_init_then_push Allow clippy lint should_implement_trait Allow clippy lint drop_non_drop Fix lifetime clipy warnings in filter-paprser Execute cargo fmt Fix clippy remaining warnings Fix clippy remaining warnings again and allow lint on each place
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1
.github/workflows/rust.yml
vendored
1
.github/workflows/rust.yml
vendored
@ -65,7 +65,6 @@ jobs:
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uses: actions-rs/cargo@v1
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with:
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command: clippy
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args: --all-targets
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fmt:
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name: Run Rustfmt
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@ -48,17 +48,14 @@ pub fn parse_condition(input: Span) -> IResult<FilterCondition> {
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pub fn parse_exists(input: Span) -> IResult<FilterCondition> {
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let (input, key) = terminated(parse_value, tag("EXISTS"))(input)?;
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Ok((input, FilterCondition::Condition { fid: key.into(), op: Exists }))
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Ok((input, FilterCondition::Condition { fid: key, op: Exists }))
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}
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/// exist = value "NOT" WS+ "EXISTS"
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pub fn parse_not_exists(input: Span) -> IResult<FilterCondition> {
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let (input, key) = parse_value(input)?;
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let (input, _) = tuple((tag("NOT"), multispace1, tag("EXISTS")))(input)?;
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Ok((
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input,
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FilterCondition::Not(Box::new(FilterCondition::Condition { fid: key.into(), op: Exists })),
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))
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Ok((input, FilterCondition::Not(Box::new(FilterCondition::Condition { fid: key, op: Exists }))))
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}
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/// to = value value "TO" WS+ value
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@ -168,7 +168,7 @@ fn ws<'a, O>(inner: impl FnMut(Span<'a>) -> IResult<O>) -> impl FnMut(Span<'a>)
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}
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/// value_list = (value ("," value)* ","?)?
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fn parse_value_list<'a>(input: Span<'a>) -> IResult<Vec<Token<'a>>> {
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fn parse_value_list(input: Span) -> IResult<Vec<Token>> {
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let (input, first_value) = opt(parse_value)(input)?;
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if let Some(first_value) = first_value {
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let value_list_el_parser = preceded(ws(tag(",")), parse_value);
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@ -335,17 +335,17 @@ fn parse_error_reserved_keyword(input: Span) -> IResult<FilterCondition> {
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Ok(result) => Ok(result),
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Err(nom::Err::Error(inner) | nom::Err::Failure(inner)) => match inner.kind() {
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ErrorKind::ExpectedValue(ExpectedValueKind::ReservedKeyword) => {
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return Err(nom::Err::Failure(inner));
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Err(nom::Err::Failure(inner))
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}
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_ => return Err(nom::Err::Error(inner)),
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_ => Err(nom::Err::Error(inner)),
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},
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Err(e) => {
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return Err(e);
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}
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Err(e) => Err(e),
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}
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}
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/// primary = (WS* "(" WS* expression WS* ")" WS*) | geoRadius | condition | exists | not_exists | to
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/**
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primary = (WS* "(" WS* expression WS* ")" WS*) | geoRadius | condition | exists | not_exists | to
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*/
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fn parse_primary(input: Span, depth: usize) -> IResult<FilterCondition> {
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if depth > MAX_FILTER_DEPTH {
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return Err(nom::Err::Error(Error::new_from_kind(input, ErrorKind::DepthLimitReached)));
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@ -78,7 +78,7 @@ pub fn word_exact<'a, 'b: 'a>(tag: &'b str) -> impl Fn(Span<'a>) -> IResult<'a,
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}
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/// value = WS* ( word | singleQuoted | doubleQuoted) WS+
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pub fn parse_value<'a>(input: Span<'a>) -> IResult<Token<'a>> {
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pub fn parse_value(input: Span) -> IResult<Token> {
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// to get better diagnostic message we are going to strip the left whitespaces from the input right now
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let (input, _) = take_while(char::is_whitespace)(input)?;
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@ -1,6 +1,4 @@
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#![cfg_attr(all(test, fuzzing), feature(no_coverage))]
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#![allow(clippy::reversed_empty_ranges)]
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#![allow(clippy::too_many_arguments)]
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#[macro_use]
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pub mod documents;
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@ -242,6 +242,7 @@ fn iterative_facet_number_ordered_iter<'t>(
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// The itertools GroupBy iterator doesn't provide an owned version, we are therefore
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// required to collect the result into an owned collection (a Vec).
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// https://github.com/rust-itertools/itertools/issues/499
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#[allow(clippy::needless_collect)]
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let vec: Vec<_> = iter
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.group_by(|(_, v)| *v)
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.into_iter()
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@ -284,6 +285,7 @@ fn iterative_facet_string_ordered_iter<'t>(
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// The itertools GroupBy iterator doesn't provide an owned version, we are therefore
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// required to collect the result into an owned collection (a Vec).
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// https://github.com/rust-itertools/itertools/issues/499
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#[allow(clippy::needless_collect)]
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let vec: Vec<_> = iter
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.group_by(|(_, v)| *v)
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.into_iter()
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@ -179,6 +179,7 @@ impl<'t> Criterion for Attribute<'t> {
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/// QueryPositionIterator is an Iterator over positions of a Query,
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/// It contains iterators over words positions.
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struct QueryPositionIterator<'t> {
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#[allow(clippy::type_complexity)]
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inner:
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Vec<Peekable<Box<dyn Iterator<Item = heed::Result<((&'t str, u32), RoaringBitmap)>> + 't>>>,
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}
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@ -96,6 +96,7 @@ pub trait Context<'c> {
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&self,
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docid: DocumentId,
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) -> heed::Result<HashMap<String, RoaringBitmap>>;
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#[allow(clippy::type_complexity)]
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fn word_position_iterator(
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&self,
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word: &str,
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@ -610,11 +611,7 @@ fn query_pair_proximity_docids(
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}
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(QueryKind::Exact { word: left, .. }, QueryKind::Tolerant { typo, word: right }) => {
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let r_words = word_derivations(right, prefix, *typo, ctx.words_fst(), wdcache)?;
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<<<<<<< HEAD
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all_word_pair_overall_proximity_docids(ctx, &[(left, 0)], r_words, proximity)
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=======
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all_word_pair_proximity_docids(ctx, &[(left, 0)], r_words, proximity)
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>>>>>>> 08fe530b (Execute cargo clippy --fix)
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}
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(
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QueryKind::Tolerant { typo: l_typo, word: left },
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@ -123,6 +123,7 @@ impl<'a> FacetDistinctIter<'a> {
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}
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}
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#[allow(clippy::drop_non_drop)]
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fn facet_values_prefix_key(distinct: FieldId, id: DocumentId) -> [u8; FID_SIZE + DOCID_SIZE] {
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concat_arrays!(distinct.to_be_bytes(), id.to_be_bytes())
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}
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@ -100,10 +100,10 @@ impl<'a> Filter<'a> {
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}
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}
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if ors.len() > 1 {
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ands.push(FilterCondition::Or(ors));
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} else if ors.len() == 1 {
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ands.push(ors.pop().unwrap());
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match ors.len() {
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1 => ands.push(ors.pop().unwrap()),
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n if n > 1 => ands.push(FilterCondition::Or(ors)),
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_ => (),
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}
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}
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Either::Right(rule) => {
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@ -128,6 +128,7 @@ impl<'a> Filter<'a> {
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Ok(Some(Self { condition: and }))
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}
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#[allow(clippy::should_implement_trait)]
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pub fn from_str(expression: &'a str) -> Result<Option<Self>> {
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let condition = match FilterCondition::parse(expression) {
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Ok(Some(fc)) => Ok(fc),
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@ -125,10 +125,7 @@ impl<'t, A: AsRef<[u8]>> Matcher<'t, '_, A> {
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words_positions: &mut impl Iterator<Item = (usize, usize, &'a Token<'a>)>,
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matches: &mut Vec<Match>,
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) -> bool {
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let mut potential_matches = Vec::new();
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// Add first match to potential matches.
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potential_matches.push((token_position, word_position, partial.char_len()));
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let mut potential_matches = vec![(token_position, word_position, partial.char_len())];
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for (token_position, word_position, word) in words_positions {
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partial = match partial.match_token(word) {
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@ -21,6 +21,7 @@ impl AvailableDocumentsIds {
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let iter = match last_id.checked_add(1) {
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Some(id) => id..=u32::max_value(),
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#[allow(clippy::reversed_empty_ranges)]
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None => 1..=0, // empty range iterator
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};
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@ -51,6 +51,7 @@ pub fn extract_geo_points<R: io::Read + io::Seek>(
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)
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.map_err(|lng| GeoError::BadLongitude { document_id: document_id(), value: lng })?;
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#[allow(clippy::drop_non_drop)]
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let bytes: [u8; 16] = concat_arrays![lat.to_ne_bytes(), lng.to_ne_bytes()];
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writer.insert(docid_bytes, bytes)?;
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} else if lat.is_none() && lng.is_some() {
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@ -33,6 +33,7 @@ use crate::{FieldId, Result};
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/// Extract data for each databases from obkv documents in parallel.
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/// Send data in grenad file over provided Sender.
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#[allow(clippy::too_many_arguments)]
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pub(crate) fn data_from_obkv_documents(
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original_obkv_chunks: impl Iterator<Item = Result<grenad::Reader<File>>> + Send,
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flattened_obkv_chunks: impl Iterator<Item = Result<grenad::Reader<File>>> + Send,
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@ -53,6 +54,7 @@ pub(crate) fn data_from_obkv_documents(
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})
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.collect::<Result<()>>()?;
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#[allow(clippy::type_complexity)]
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let result: Result<(Vec<_>, (Vec<_>, (Vec<_>, Vec<_>)))> = flattened_obkv_chunks
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.par_bridge()
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.map(|flattened_obkv_chunks| {
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@ -217,6 +219,8 @@ fn send_original_documents_data(
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/// - docid_fid_facet_numbers
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/// - docid_fid_facet_strings
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/// - docid_fid_facet_exists
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#[allow(clippy::too_many_arguments)]
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#[allow(clippy::type_complexity)]
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fn send_and_extract_flattened_documents_data(
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flattened_documents_chunk: Result<grenad::Reader<File>>,
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indexer: GrenadParameters,
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@ -598,6 +598,7 @@ where
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}
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/// Run the word prefix docids update operation.
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#[allow(clippy::too_many_arguments)]
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fn execute_word_prefix_docids(
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txn: &mut heed::RwTxn,
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reader: grenad::Reader<Cursor<ClonableMmap>>,
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@ -12,6 +12,7 @@ use crate::update::prefix_word_pairs::{
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};
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use crate::{CboRoaringBitmapCodec, Result, U8StrStrCodec, UncheckedU8StrStrCodec};
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#[allow(clippy::too_many_arguments)]
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#[logging_timer::time]
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pub fn index_prefix_word_database(
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wtxn: &mut heed::RwTxn,
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@ -38,8 +39,7 @@ pub fn index_prefix_word_database(
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for proximity in 1..max_proximity {
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for prefix in common_prefixes.iter() {
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let mut prefix_key = vec![];
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prefix_key.push(proximity);
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let mut prefix_key = vec![proximity];
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prefix_key.extend_from_slice(prefix.as_bytes());
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let mut cursor = new_word_pair_proximity_docids.clone().into_prefix_iter(prefix_key)?;
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// This is the core of the algorithm
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@ -84,8 +84,7 @@ pub fn index_prefix_word_database(
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for proximity in 1..max_proximity {
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for prefix in new_prefixes.iter() {
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let mut prefix_key = vec![];
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prefix_key.push(proximity);
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let mut prefix_key = vec![proximity];
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prefix_key.extend_from_slice(prefix.as_bytes());
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let mut db_iter = word_pair_proximity_docids
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.as_polymorph()
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@ -176,6 +176,7 @@ use crate::update::prefix_word_pairs::{
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};
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use crate::{CboRoaringBitmapCodec, Result, U8StrStrCodec, UncheckedU8StrStrCodec};
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#[allow(clippy::too_many_arguments)]
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#[logging_timer::time]
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pub fn index_word_prefix_database(
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wtxn: &mut heed::RwTxn,
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@ -385,6 +386,7 @@ can be inserted into the database in sorted order. When it is flushed, it calls
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struct PrefixAndProximityBatch {
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proximity: u8,
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word1: Vec<u8>,
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#[allow(clippy::type_complexity)]
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batch: Vec<(Vec<u8>, Vec<Cow<'static, [u8]>>)>,
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}
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@ -200,12 +200,14 @@ test_criterion!(
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#[test]
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fn criteria_mixup() {
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use Criterion::*;
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let index = search::setup_search_index_with_criteria(&[Words,
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let index = search::setup_search_index_with_criteria(&[
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Words,
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Attribute,
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Desc(S("asc_desc_rank")),
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Exactness,
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Proximity,
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Typo]);
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Typo,
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]);
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#[rustfmt::skip]
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let criteria_mix = {
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