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https://github.com/meilisearch/MeiliSearch
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Prefer using Rc<str> than String when cloning a lot
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1a0e962299
commit
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@ -1,4 +1,5 @@
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use std::collections::{HashMap, VecDeque};
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use std::rc::Rc;
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use heed::RoTxn;
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use itertools::merge_join_by;
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@ -38,7 +39,7 @@ impl SearchableExtractor for WordPairProximityDocidsExtractor {
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let mut key_buffer = Vec::new();
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let mut del_word_pair_proximity = Vec::new();
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let mut add_word_pair_proximity = Vec::new();
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let mut word_positions: VecDeque<(String, u16)> =
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let mut word_positions: VecDeque<(Rc<str>, u16)> =
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VecDeque::with_capacity(MAX_DISTANCE as usize);
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let docid = document_change.docid();
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@ -118,8 +119,8 @@ fn build_key<'a>(prox: u8, w1: &str, w2: &str, key_buffer: &'a mut Vec<u8>) -> &
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}
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fn word_positions_into_word_pair_proximity(
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word_positions: &mut VecDeque<(String, u16)>,
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word_pair_proximity: &mut impl FnMut((String, String), u8),
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word_positions: &mut VecDeque<(Rc<str>, u16)>,
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word_pair_proximity: &mut impl FnMut((Rc<str>, Rc<str>), u8),
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) -> Result<()> {
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let (head_word, head_position) = word_positions.pop_front().unwrap();
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for (word, position) in word_positions.iter() {
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@ -135,8 +136,8 @@ fn process_document_tokens(
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document: &KvReader<FieldId>,
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document_tokenizer: &DocumentTokenizer,
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fields_ids_map: &mut GlobalFieldsIdsMap,
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word_positions: &mut VecDeque<(String, u16)>,
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word_pair_proximity: &mut impl FnMut((String, String), u8),
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word_positions: &mut VecDeque<(Rc<str>, u16)>,
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word_pair_proximity: &mut impl FnMut((Rc<str>, Rc<str>), u8),
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) -> Result<()> {
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let mut token_fn = |_fname: &str, _fid: FieldId, pos: u16, word: &str| {
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// drain the proximity window until the head word is considered close to the word we are inserting.
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@ -148,7 +149,7 @@ fn process_document_tokens(
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}
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// insert the new word.
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word_positions.push_back((word.to_string(), pos));
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word_positions.push_back((Rc::from(word), pos));
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Ok(())
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};
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document_tokenizer.tokenize_document(document, fields_ids_map, &mut token_fn)?;
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