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https://github.com/meilisearch/meilisearch.git
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Add new tests and fix construction of query graph from paths
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@ -176,6 +176,9 @@ impl<T> Interner<T> {
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pub fn iter_mut(&mut self) -> impl Iterator<Item = (Interned<T>, &mut T)> {
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self.stable_store.iter_mut().enumerate().map(|(i, x)| (Interned::from_raw(i as u16), x))
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}
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pub fn freeze(self) -> FixedSizeInterner<T> {
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FixedSizeInterner { stable_store: self.stable_store }
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}
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}
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/// A store of values of type `T`, each linked to a value of type `From`
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@ -4,7 +4,7 @@ use super::query_term::{
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};
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use super::small_bitmap::SmallBitmap;
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use super::SearchContext;
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use crate::search::new::interner::DedupInterner;
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use crate::search::new::interner::Interner;
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use crate::Result;
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use std::cmp::Ordering;
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use std::collections::BTreeMap;
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@ -345,29 +345,13 @@ impl QueryGraph {
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Build a query graph from a list of paths
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The paths are composed of source and dest terms.
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If the source term is `None`, then the last dest term is used
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as the predecessor of the dest term. If the source is Some(_),
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then an edge is built between the last dest term and the source,
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and between the source and new dest term.
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Note that the resulting graph will not correspond to a perfect
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representation of the set of paths.
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For example, consider the following paths:
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```txt
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PATH 1 : a -> b1 -> c1 -> d -> e1
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PATH 2 : a -> b2 -> c2 -> d -> e2
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```
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Then the resulting graph will be:
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```txt
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┌────┐ ┌────┐ ┌────┐
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┌──│ b1 │──│ c1 │─┐ ┌──│ e1 │
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┌────┐ │ └────┘ └────┘ │ ┌────┐ │ └────┘
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│ a │─┤ ├─│ d │─┤
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└────┘ │ ┌────┐ ┌────┐ │ └────┘ │ ┌────┐
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└──│ b2 │──│ c2 │─┘ └──│ e2 │
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└────┘ └────┘ └────┘
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```
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which is different from the fully correct representation:
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```txt
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┌────┐ ┌────┐ ┌────┐ ┌────┐
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┌──│ b1 │──│ c1 │───│ d │───│ e1 │
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@ -383,21 +367,51 @@ impl QueryGraph {
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pub fn build_from_paths(
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paths: Vec<Vec<(Option<LocatedQueryTermSubset>, LocatedQueryTermSubset)>>,
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) -> Self {
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let mut node_data = DedupInterner::default();
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let root_node = node_data.insert(QueryNodeData::Start);
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let end_node = node_data.insert(QueryNodeData::End);
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let mut node_data = Interner::default();
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let root_node = node_data.push(QueryNodeData::Start);
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let end_node = node_data.push(QueryNodeData::End);
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let mut paths_with_single_terms = vec![];
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for path in paths {
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let mut processed_path = vec![];
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let mut prev_dest_term: Option<LocatedQueryTermSubset> = None;
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for (start_term, dest_term) in path {
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if let Some(prev_dest_term) = prev_dest_term.take() {
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if let Some(mut start_term) = start_term {
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if start_term.term_ids == prev_dest_term.term_ids {
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start_term.term_subset.intersect(&prev_dest_term.term_subset);
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processed_path.push(start_term);
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} else {
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processed_path.push(prev_dest_term);
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processed_path.push(start_term);
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}
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} else {
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processed_path.push(prev_dest_term);
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}
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} else if let Some(start_term) = start_term {
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processed_path.push(start_term);
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}
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prev_dest_term = Some(dest_term);
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}
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if let Some(prev_dest_term) = prev_dest_term {
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processed_path.push(prev_dest_term);
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}
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paths_with_single_terms.push(processed_path);
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}
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// TODO: make a prefix tree of the processed paths to avoid uselessly duplicating nodes
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let mut paths_with_ids = vec![];
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for path in paths {
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for path in paths_with_single_terms {
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let mut path_with_ids = vec![];
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for node in path {
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let (start_term, end_term) = node;
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let src_node_id = start_term.map(|x| node_data.insert(QueryNodeData::Term(x)));
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let dest_node_id = node_data.insert(QueryNodeData::Term(end_term));
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path_with_ids.push((src_node_id, dest_node_id));
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for term in path {
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let id = node_data.push(QueryNodeData::Term(term));
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path_with_ids.push(Interned::from_raw(id.into_raw()));
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}
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paths_with_ids.push(path_with_ids);
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}
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let nodes_data = node_data.freeze();
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let nodes_data_len = nodes_data.len();
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let mut nodes = nodes_data.map_move(|n| QueryNode {
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@ -406,31 +420,22 @@ impl QueryGraph {
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successors: SmallBitmap::new(nodes_data_len),
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});
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let root_node = Interned::from_raw(root_node.into_raw());
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let end_node = Interned::from_raw(end_node.into_raw());
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let root_node = Interned::<QueryNode>::from_raw(root_node.into_raw());
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let end_node = Interned::<QueryNode>::from_raw(end_node.into_raw());
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for path in paths_with_ids {
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let mut prev_node = root_node;
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for node in path {
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let (start_term, dest_term) = node;
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let end_term = Interned::from_raw(dest_term.into_raw());
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let src = if let Some(start_term) = start_term {
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// TODO: this is incorrect! should take the intersection
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// between the prev node and the start term if they refer to the same
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// original query term!
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let start_term = Interned::from_raw(start_term.into_raw());
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nodes.get_mut(prev_node).successors.insert(start_term);
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nodes.get_mut(start_term).predecessors.insert(prev_node);
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start_term
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} else {
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prev_node
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};
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nodes.get_mut(src).successors.insert(end_term);
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nodes.get_mut(end_term).predecessors.insert(src);
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prev_node = end_term;
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let mut prev_node_id = root_node;
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for node_id in path {
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let prev_node = nodes.get_mut(prev_node_id);
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prev_node.successors.insert(node_id);
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let node = nodes.get_mut(node_id);
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node.predecessors.insert(prev_node_id);
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prev_node_id = node_id;
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}
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nodes.get_mut(prev_node).successors.insert(end_node);
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nodes.get_mut(end_node).predecessors.insert(prev_node);
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let prev_node = nodes.get_mut(prev_node_id);
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prev_node.successors.insert(end_node);
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let node = nodes.get_mut(end_node);
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node.predecessors.insert(prev_node_id);
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}
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QueryGraph { root_node, end_node, nodes }
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@ -3,6 +3,8 @@ This module tests the interactions between the proximity and typo ranking rules.
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The proximity ranking rule should transform the query graph such that it
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only contains the word pairs that it used to compute its bucket.
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TODO: This is not currently implemented.
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*/
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use crate::{
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@ -61,8 +63,13 @@ fn test_trap_basic() {
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s.terms_matching_strategy(TermsMatchingStrategy::All);
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s.query("summer holiday");
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let SearchResult { documents_ids, .. } = s.execute().unwrap();
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insta::assert_snapshot!(format!("{documents_ids:?}"), @"[1, 0, 3, 2]");
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insta::assert_snapshot!(format!("{documents_ids:?}"), @"[0, 1]");
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let texts = collect_field_values(&index, &txn, "text", &documents_ids);
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// TODO: this is incorrect, 1 should come before 0
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insta::assert_debug_snapshot!(texts, @r###"
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[
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"\"summer. holiday. sommer holidty\"",
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"\"summer. holiday. sommer holiday\"",
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]
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"###);
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}
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@ -271,13 +271,13 @@ fn test_sort() {
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"false",
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"true",
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"true",
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"__does_not_exist___",
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"__does_not_exist__",
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"null",
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"[null,null,\"\"]",
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"\"\"",
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"{\"sub\":0}",
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"__does_not_exist___",
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"__does_not_exist___",
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"__does_not_exist__",
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"__does_not_exist__",
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]
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"###);
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@ -304,13 +304,13 @@ fn test_sort() {
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"false",
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"\"1\"",
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"\"0\"",
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"__does_not_exist___",
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"__does_not_exist__",
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"null",
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"[null,null,\"\"]",
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"\"\"",
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"{\"sub\":0}",
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"__does_not_exist___",
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"__does_not_exist___",
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"__does_not_exist__",
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"__does_not_exist__",
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]
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"###);
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}
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@ -59,8 +59,7 @@ fn create_index() -> TempIndex {
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"id": 3,
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"text": "beautiful sommer"
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},
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// The next two documents lay out an even more complex trap, which the current implementation
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// fails to handle properly.
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// The next two documents lay out an even more complex trap.
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// With the user query `delicious sweet dessert`, the typo ranking rule will return one bucket of:
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// - id 4: delicitous + sweet + dessert
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// - id 5: beautiful + sweet + desgert
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@ -114,13 +113,12 @@ fn test_trap_complex2() {
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s.terms_matching_strategy(TermsMatchingStrategy::All);
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s.query("delicious sweet dessert");
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let SearchResult { documents_ids, .. } = s.execute().unwrap();
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insta::assert_snapshot!(format!("{documents_ids:?}"), @"[4, 5]");
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insta::assert_snapshot!(format!("{documents_ids:?}"), @"[5, 4]");
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let texts = collect_field_values(&index, &txn, "text", &documents_ids);
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// TODO: this is incorrect. 5 should appear before 4
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insta::assert_debug_snapshot!(texts, @r###"
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[
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"\"delicitous. sweet. dessert. delicitous sweet desgert\"",
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"\"delicious. sweet desgert. delicious sweet desgert\"",
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"\"delicitous. sweet. dessert. delicitous sweet desgert\"",
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]
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"###);
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}
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