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Introduce the mana depth first search algorithm
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@ -132,6 +132,14 @@ impl<'a> Search<'a> {
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candidates
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}
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// TODO Move this elsewhere!
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fn mana_depth_first_search(
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&self,
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words: &[(HashMap<String, (u8, RoaringBitmap)>, RoaringBitmap)],
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candidates: &RoaringBitmap,
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union_cache: &mut HashMap<(usize, u8), RoaringBitmap>,
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) -> anyhow::Result<Option<RoaringBitmap>>
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{
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fn words_pair_combinations<'h>(
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w1: &'h HashMap<String, (u8, RoaringBitmap)>,
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w2: &'h HashMap<String, (u8, RoaringBitmap)>,
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@ -148,18 +156,34 @@ impl<'a> Search<'a> {
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pairs
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}
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fn depth_first_search(
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&self,
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fn mdfs(
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index: &Index,
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rtxn: &heed::RoTxn,
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mana: u32,
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words: &[(HashMap<String, (u8, RoaringBitmap)>, RoaringBitmap)],
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candidates: &RoaringBitmap,
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parent_docids: &RoaringBitmap,
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union_cache: &mut HashMap<(usize, u8), RoaringBitmap>,
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) -> anyhow::Result<Option<RoaringBitmap>>
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{
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let (words1, words2) = (&words[0].0, &words[1].0);
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let pairs = Self::words_pair_combinations(words1, words2);
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use std::cmp::{min, max};
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for proximity in 1..=8 {
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let (words1, words2) = (&words[0].0, &words[1].0);
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let pairs = words_pair_combinations(words1, words2);
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let tail = &words[1..];
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let nb_children = tail.len() as u32 - 1;
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// The minimum amount of mana that you must consume is at least 1 and the
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// amount of mana that your children can consume. Because the last child must
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// consume the remaining mana, it is mandatory that there not too much at the end.
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let min_proximity = max(1, mana.saturating_sub(nb_children * 8)) as u8;
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// The maximum amount of mana that you can use is 8 or the remaining amount of
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// mana minus your children, as you can't just consume all the mana,
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// your children must have at least 1 mana.
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let max_proximity = min(8, mana - nb_children) as u8;
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for proximity in min_proximity..=max_proximity {
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let mut docids = match union_cache.entry((words.len(), proximity)) {
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Occupied(entry) => entry.get().clone(),
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Vacant(entry) => {
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@ -169,7 +193,7 @@ impl<'a> Search<'a> {
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} else {
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for (w1, w2) in pairs.iter().cloned() {
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let key = (w1, w2, proximity);
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if let Some(di) = self.index.word_pair_proximity_docids.get(self.rtxn, &key)? {
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if let Some(di) = index.word_pair_proximity_docids.get(rtxn, &key)? {
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docids.union_with(&di);
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}
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}
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@ -181,10 +205,10 @@ impl<'a> Search<'a> {
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docids.intersect_with(parent_docids);
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if !docids.is_empty() {
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let words = &words[1..];
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// We are the last word.
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if words.len() < 2 { return Ok(Some(docids)) }
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if let Some(di) = self.depth_first_search(words, candidates, &docids, union_cache)? {
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let mana = mana.checked_sub(proximity as u32).unwrap();
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// We are the last pair, we return without recursing as we don't have any child.
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if tail.len() < 2 { return Ok(Some(docids)) }
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if let Some(di) = mdfs(index, rtxn, mana, tail, candidates, &docids, union_cache)? {
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return Ok(Some(di))
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}
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}
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@ -193,6 +217,26 @@ impl<'a> Search<'a> {
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Ok(None)
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}
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// Compute the number of pairs (windows) we have for this list of words.
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// If there only is one word therefore the only possible documents are the candidates.
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let initial_mana = match words.len().checked_sub(1) {
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Some(nb_windows) if nb_windows != 0 => nb_windows as u32,
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_ => return Ok(Some(candidates.clone())),
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};
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// TODO We must keep track of where we are in terms of mana and that should either be
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// handled by an Iterator or by the caller. Keeping track of the amount of mana
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// is an optimization, it makes this mdfs to only be called with the next valid
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// mana and not called with all of the previous mana values.
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for mana in initial_mana..=initial_mana * 8 {
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if let Some(answer) = mdfs(&self.index, &self.rtxn, mana, words, candidates, candidates, union_cache)? {
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return Ok(Some(answer));
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}
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}
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Ok(None)
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}
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pub fn execute(&self) -> anyhow::Result<SearchResult> {
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let limit = self.limit;
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@ -217,20 +261,13 @@ impl<'a> Search<'a> {
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debug!("candidates: {:?}", candidates);
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// If there is only one query word, no need to compute the best proximities.
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if derived_words.len() == 1 || candidates.is_empty() {
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let found_words = derived_words.into_iter().flat_map(|(w, _)| w).map(|(w, _)| w).collect();
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let documents_ids = candidates.iter().take(limit).collect();
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return Ok(SearchResult { found_words, documents_ids });
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}
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let mut documents = Vec::new();
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let mut union_cache = HashMap::new();
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// We execute the DFS until we find enough documents, we run it with the
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// candidates list and remove the found documents from this list at each iteration.
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while documents.iter().map(RoaringBitmap::len).sum::<u64>() < limit as u64 {
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let answer = self.depth_first_search(&derived_words, &candidates, &candidates, &mut union_cache)?;
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let answer = self.mana_depth_first_search(&derived_words, &candidates, &mut union_cache)?;
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let answer = match answer {
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Some(answer) if !answer.is_empty() => answer,
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