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https://github.com/meilisearch/meilisearch.git
synced 2025-07-31 10:50:03 +00:00
Intern more values
This commit is contained in:
@ -14,29 +14,33 @@ pub fn visit_from_node(
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from_node: &QueryNode,
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) -> Result<Option<(WordDerivations, i8)>> {
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Ok(Some(match from_node {
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QueryNode::Term(LocatedQueryTerm { value: value1, positions: pos1 }) => match value1 {
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QueryTerm::Word { derivations } => (derivations.clone(), *pos1.end()),
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QueryTerm::Phrase { phrase: phrase1 } => {
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let phrase1 = ctx.phrase_interner.get(*phrase1);
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if let Some(original) = *phrase1.words.last().unwrap() {
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(
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WordDerivations {
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original,
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zero_typo: Box::new([original]),
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one_typo: Box::new([]),
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two_typos: Box::new([]),
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use_prefix_db: false,
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synonyms: Box::new([]),
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split_words: None,
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},
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*pos1.end(),
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)
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} else {
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// No word pairs if the phrase does not have a regular word as its last term
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return Ok(None);
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QueryNode::Term(LocatedQueryTerm { value: value1, positions: pos1 }) => {
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match value1 {
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QueryTerm::Word { derivations } => {
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(ctx.derivations_interner.get(*derivations).clone(), *pos1.end())
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}
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QueryTerm::Phrase { phrase: phrase1 } => {
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let phrase1 = ctx.phrase_interner.get(*phrase1);
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if let Some(original) = *phrase1.words.last().unwrap() {
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(
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WordDerivations {
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original,
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zero_typo: Box::new([original]),
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one_typo: Box::new([]),
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two_typos: Box::new([]),
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use_prefix_db: false,
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synonyms: Box::new([]),
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split_words: None,
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},
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*pos1.end(),
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)
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} else {
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// No word pairs if the phrase does not have a regular word as its last term
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return Ok(None);
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}
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}
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}
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},
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}
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QueryNode::Start => (
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WordDerivations {
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original: ctx.word_interner.insert(String::new()),
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@ -58,6 +62,10 @@ pub fn visit_to_node<'search, 'from_data>(
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to_node: &QueryNode,
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from_node_data: &'from_data (WordDerivations, i8),
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) -> Result<Vec<(u8, EdgeCondition<ProximityEdge>)>> {
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let SearchContext { index, txn, db_cache, word_interner, derivations_interner, .. } = ctx;
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// IMPORTANT! TODO: split words support
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let (derivations1, pos1) = from_node_data;
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let term2 = match &to_node {
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QueryNode::End => return Ok(vec![(0, EdgeCondition::Unconditional)]),
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@ -67,7 +75,9 @@ pub fn visit_to_node<'search, 'from_data>(
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let LocatedQueryTerm { value: value2, positions: pos2 } = term2;
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let (derivations2, pos2, ngram_len2) = match value2 {
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QueryTerm::Word { derivations } => (derivations.clone(), *pos2.start(), pos2.len()),
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QueryTerm::Word { derivations } => {
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(derivations_interner.get(*derivations).clone(), *pos2.start(), pos2.len())
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}
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QueryTerm::Phrase { phrase: phrase2 } => {
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let phrase2 = ctx.phrase_interner.get(*phrase2);
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if let Some(original) = *phrase2.words.first().unwrap() {
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@ -105,7 +115,8 @@ pub fn visit_to_node<'search, 'from_data>(
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// left term cannot be a prefix
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assert!(!updb1);
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let derivations1 = derivations1.all_derivations_except_prefix_db();
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// TODO: IMPORTANT! split words and synonyms support
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let derivations1 = derivations1.all_single_word_derivations_except_prefix_db();
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// TODO: eventually, we want to get rid of the uses from `orginal`
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let mut cost_proximity_word_pairs = BTreeMap::<u8, BTreeMap<u8, Vec<WordPair>>>::new();
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@ -115,8 +126,11 @@ pub fn visit_to_node<'search, 'from_data>(
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let cost = (proximity + ngram_len2 - 1) as u8;
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// TODO: if we had access to the universe here, we could already check whether
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// the bitmap corresponding to this word pair is disjoint with the universe or not
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if ctx
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if db_cache
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.get_word_prefix_pair_proximity_docids(
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index,
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txn,
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word_interner,
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word1,
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derivations2.original,
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proximity as u8,
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@ -133,8 +147,11 @@ pub fn visit_to_node<'search, 'from_data>(
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right_prefix: derivations2.original,
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});
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}
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if ctx
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if db_cache
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.get_prefix_word_pair_proximity_docids(
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index,
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txn,
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word_interner,
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derivations2.original,
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word1,
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proximity as u8 - 1,
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@ -155,14 +172,30 @@ pub fn visit_to_node<'search, 'from_data>(
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}
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}
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let derivations2 = derivations2.all_derivations_except_prefix_db();
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// TODO: add safeguard in case the cartesian product is too large?
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// TODO: important! support split words and synonyms as well
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let derivations2 = derivations2.all_single_word_derivations_except_prefix_db();
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// TODO: add safeguard in case the cartesian product is too large!
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// even if we restrict the word derivations to a maximum of 100, the size of the
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// caterisan product could reach a maximum of 10_000 derivations, which is way too much.
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// mMaybe prioritise the product of zero typo derivations, then the product of zero-typo/one-typo
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// + one-typo/zero-typo, then one-typo/one-typo, then ... until an arbitrary limit has been
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// reached
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let product_derivations = derivations1.cartesian_product(derivations2);
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for (word1, word2) in product_derivations {
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for proximity in 1..=(8 - ngram_len2) {
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let cost = (proximity + ngram_len2 - 1) as u8;
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if ctx.get_word_pair_proximity_docids(word1, word2, proximity as u8)?.is_some() {
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if db_cache
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.get_word_pair_proximity_docids(
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index,
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txn,
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word_interner,
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word1,
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word2,
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proximity as u8,
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)?
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.is_some()
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{
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cost_proximity_word_pairs
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.entry(cost)
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.or_default()
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@ -171,7 +204,16 @@ pub fn visit_to_node<'search, 'from_data>(
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.push(WordPair::Words { left: word1, right: word2 });
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}
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if proximity > 1
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&& ctx.get_word_pair_proximity_docids(word2, word1, proximity as u8 - 1)?.is_some()
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&& db_cache
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.get_word_pair_proximity_docids(
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index,
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txn,
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word_interner,
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word2,
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word1,
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proximity as u8 - 1,
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)?
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.is_some()
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{
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cost_proximity_word_pairs
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.entry(cost)
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@ -9,19 +9,37 @@ pub fn compute_docids<'search>(
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edge: &ProximityEdge,
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universe: &RoaringBitmap,
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) -> Result<RoaringBitmap> {
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let SearchContext { index, txn, db_cache, word_interner, .. } = ctx;
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let ProximityEdge { pairs, proximity } = edge;
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let mut pair_docids = RoaringBitmap::new();
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for pair in pairs.iter() {
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let bytes = match pair {
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WordPair::Words { left, right } => {
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ctx.get_word_pair_proximity_docids(*left, *right, *proximity)
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}
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WordPair::WordPrefix { left, right_prefix } => {
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ctx.get_word_prefix_pair_proximity_docids(*left, *right_prefix, *proximity)
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}
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WordPair::WordPrefixSwapped { left_prefix, right } => {
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ctx.get_prefix_word_pair_proximity_docids(*left_prefix, *right, *proximity)
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}
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WordPair::Words { left, right } => db_cache.get_word_pair_proximity_docids(
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index,
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txn,
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word_interner,
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*left,
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*right,
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*proximity,
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),
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WordPair::WordPrefix { left, right_prefix } => db_cache
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.get_word_prefix_pair_proximity_docids(
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index,
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txn,
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word_interner,
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*left,
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*right_prefix,
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*proximity,
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),
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WordPair::WordPrefixSwapped { left_prefix, right } => db_cache
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.get_prefix_word_pair_proximity_docids(
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index,
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txn,
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word_interner,
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*left_prefix,
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*right,
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*proximity,
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),
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}?;
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// TODO: deserialize bitmap within a universe, and (maybe) using a bump allocator?
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let bitmap = universe
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