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Introduce the word_documents_count method on the Context trait
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79a143b32f
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@ -145,6 +145,12 @@ impl fmt::Debug for Query {
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trait Context {
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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 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 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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}
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}
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/// The query tree builder is the interface to build a query tree.
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/// The query tree builder is the interface to build a query tree.
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@ -158,6 +164,10 @@ impl<'a> Context for QueryTreeBuilder<'a> {
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self.index.word_docids.get(self.rtxn, word)
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self.index.word_docids.get(self.rtxn, word)
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}
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}
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fn word_documents_count(&self, word: &str) -> heed::Result<Option<u64>> {
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self.index.word_documents_count(self.rtxn, word)
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}
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fn synonyms<S: AsRef<str>>(&self, _words: &[S]) -> heed::Result<Option<Vec<Vec<String>>>> {
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fn synonyms<S: AsRef<str>>(&self, _words: &[S]) -> heed::Result<Option<Vec<Vec<String>>>> {
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Ok(None)
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Ok(None)
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}
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}
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@ -201,8 +211,8 @@ fn split_best_frequency<'a>(ctx: &impl Context, word: &'a str) -> heed::Result<O
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for (i, _) in chars {
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for (i, _) in chars {
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let (left, right) = word.split_at(i);
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let (left, right) = word.split_at(i);
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let left_freq = ctx.word_docids(left)?.map(|docids| docids.len()).unwrap_or(0);
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let left_freq = ctx.word_documents_count(left)?.unwrap_or(0);
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let right_freq = ctx.word_docids(right)?.map(|docids| docids.len()).unwrap_or(0);
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let right_freq = ctx.word_documents_count(right)?.unwrap_or(0);
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let min_freq = cmp::min(left_freq, right_freq);
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let min_freq = cmp::min(left_freq, right_freq);
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if min_freq != 0 && best.map_or(true, |(old, _, _)| min_freq > old) {
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if min_freq != 0 && best.map_or(true, |(old, _, _)| min_freq > old) {
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