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https://github.com/meilisearch/MeiliSearch
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Fix bugs in query graph's "remove word" and "cheapest paths" algos
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@ -326,7 +326,7 @@ shape: class").unwrap();
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fn paths_d2_description(graph: &RankingRuleGraph<ProximityGraph>, paths_idx: &str, paths: &PathsMap<u64>, file: &mut File) {
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for (edge_idx, rest) in paths.nodes.iter() {
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let Some(Edge { from_node, to_node, cost, .. }) = graph.all_edges[*edge_idx as usize].as_ref() else { continue };
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let Edge { from_node, to_node, cost, .. } = graph.all_edges[*edge_idx as usize].as_ref().unwrap() ;
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let from_node = &graph.query_graph.nodes[*from_node as usize];
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let from_node_desc = match from_node {
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QueryNode::Term(term) => match &term.value {
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@ -192,18 +192,14 @@ impl QueryGraph {
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}
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pub fn remove_words_at_position(&mut self, position: i8) {
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let mut nodes_to_remove_keeping_edges = vec![];
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let mut nodes_to_remove = vec![];
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for (node_idx, node) in self.nodes.iter().enumerate() {
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let node_idx = node_idx as u32;
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let QueryNode::Term(LocatedQueryTerm { value: _, positions }) = node else { continue };
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if positions.contains(&position) {
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if positions.start() == &position {
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nodes_to_remove_keeping_edges.push(node_idx)
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} else if positions.contains(&position) {
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nodes_to_remove.push(node_idx)
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}
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}
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self.remove_nodes(&nodes_to_remove);
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self.remove_nodes_keep_edges(&nodes_to_remove_keeping_edges);
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self.simplify();
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@ -74,13 +74,17 @@ impl KCheapestPathsState {
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empty_paths_cache: &EmptyPathsCache,
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into_map: &mut PathsMap<u64>,
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) -> Option<Self> {
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into_map.add_path(&self.kth_cheapest_path);
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if !empty_paths_cache.path_is_empty(&self.kth_cheapest_path.edges) {
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into_map.add_path(&self.kth_cheapest_path);
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}
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let cur_cost = self.kth_cheapest_path.cost;
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while self.kth_cheapest_path.cost <= cur_cost {
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if let Some(next_self) = self.compute_next_cheapest_paths(graph, empty_paths_cache) {
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self = next_self;
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if self.kth_cheapest_path.cost == cur_cost {
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into_map.add_path(&self.kth_cheapest_path);
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} else {
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break;
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}
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} else {
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return None;
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@ -89,8 +93,6 @@ impl KCheapestPathsState {
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Some(self)
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}
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// TODO: use the cache to potentially remove edges that return an empty RoaringBitmap
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// TODO: return an Option<&'self Path>?
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fn compute_next_cheapest_paths<G: RankingRuleGraphTrait>(
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mut self,
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graph: &mut RankingRuleGraph<G>,
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@ -141,19 +143,12 @@ impl KCheapestPathsState {
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}
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while let Some(mut next_cheapest_paths_entry) = self.potential_cheapest_paths.first_entry()
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{
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// This could be implemented faster
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// Here, maybe I should filter the potential cheapest paths so that they
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// don't contain any removed edge?
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let cost = *next_cheapest_paths_entry.key();
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let next_cheapest_paths = next_cheapest_paths_entry.get_mut();
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while let Some((next_cheapest_path, cost2)) = next_cheapest_paths.remove_first() {
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assert_eq!(cost, cost2);
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if next_cheapest_path
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.iter()
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.any(|edge_index| graph.all_edges[*edge_index as usize].is_none())
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{
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if empty_paths_cache.path_is_empty(&next_cheapest_path) {
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continue;
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} else {
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self.cheapest_paths.insert(next_cheapest_path.iter().copied(), cost);
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@ -313,7 +313,7 @@ mod tests {
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let mut db_cache = DatabaseCache::default();
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let query_graph =
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make_query_graph(&index, &txn, &mut db_cache, "released from prison by the government")
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make_query_graph(&index, &txn, &mut db_cache, "the sun flower is facing the su")
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.unwrap();
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// TODO: filters + maybe distinct attributes?
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