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https://github.com/meilisearch/meilisearch.git
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revert removal of word_documents_count method
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32f825d442
commit
8195fc6141
@ -147,6 +147,12 @@ impl fmt::Debug for Query {
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trait Context {
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fn word_docids(&self, word: &str) -> heed::Result<Option<RoaringBitmap>>;
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fn synonyms<S: AsRef<str>>(&self, words: &[S]) -> heed::Result<Option<Vec<Vec<String>>>>;
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fn word_documents_count(&self, word: &str) -> heed::Result<Option<u64>> {
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match self.word_docids(word)? {
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Some(rb) => Ok(Some(rb.len())),
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None => Ok(None),
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}
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}
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/// Returns the minimum word len for 1 and 2 typos.
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fn min_word_len_for_typo(&self) -> heed::Result<(u8, u8)>;
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fn exact_words(&self) -> Option<&fst::Set<Cow<[u8]>>>;
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@ -276,7 +282,7 @@ impl<'a> QueryTreeBuilder<'a> {
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fn split_best_frequency<'a>(
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ctx: &impl Context,
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word: &'a str,
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) -> heed::Result<Option<(u64, &'a str, &'a str)>> {
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) -> heed::Result<Option<(&'a str, &'a str)>> {
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let chars = word.char_indices().skip(1);
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let mut best = None;
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@ -290,7 +296,7 @@ fn split_best_frequency<'a>(
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}
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}
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Ok(best)
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Ok(best.map(|(_, left, right)| (left, right)))
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}
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#[derive(Clone)]
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@ -359,7 +365,7 @@ fn create_query_tree(
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// 4. wrap all in an OR operation
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PrimitiveQueryPart::Word(word, prefix) => {
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let mut children = synonyms(ctx, &[&word])?.unwrap_or_default();
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if let Some((_, left, right)) = split_best_frequency(ctx, &word)? {
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if let Some((left, right)) = split_best_frequency(ctx, &word)? {
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children.push(Operation::Phrase(vec![left.to_string(), right.to_string()]));
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}
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let (word_len_one_typo, word_len_two_typo) = ctx.min_word_len_for_typo()?;
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@ -505,9 +511,7 @@ fn create_query_tree(
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.filter(|(_, part)| !part.is_phrase())
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.max_by_key(|(_, part)| match part {
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PrimitiveQueryPart::Word(s, _) => {
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let (pair_freq, _, _) =
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split_best_frequency(ctx, s).unwrap_or_default().unwrap_or_default();
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pair_freq
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ctx.word_documents_count(s).unwrap_or_default().unwrap_or(u64::max_value());
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}
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_ => unreachable!(),
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})
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@ -554,7 +558,7 @@ fn create_matching_words(
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}
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}
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if let Some((_, left, right)) = split_best_frequency(ctx, &word)? {
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if let Some((left, right)) = split_best_frequency(ctx, &word)? {
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let left = MatchingWord::new(left.to_string(), 0, false);
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let right = MatchingWord::new(right.to_string(), 0, false);
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matching_words.push((vec![left, right], vec![id]));
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