mirror of
https://github.com/meilisearch/MeiliSearch
synced 2024-11-25 22:34:28 +01:00
Prevent the exactness ranking rule from removing random words
Make it strictly follow the term matching strategy
This commit is contained in:
Loïc Lecrenier
parent
d3a94e8b25
commit
3421125a55
@ -51,7 +51,6 @@ use resolve_query_graph::compute_query_graph_docids;
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use sort::Sort;
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use self::interner::Interned;
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use self::query_term::ExactTerm;
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/// A structure used throughout the execution of a search query.
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pub struct SearchContext<'ctx> {
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@ -120,73 +119,20 @@ fn resolve_maximally_reduced_query_graph(
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Ok(docids)
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}
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fn resolve_docids_containing_any_exact_word(
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ctx: &mut SearchContext,
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universe: &RoaringBitmap,
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query_graph: &QueryGraph,
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) -> Result<RoaringBitmap> {
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let mut docids = RoaringBitmap::new();
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for (_, node) in query_graph.nodes.iter() {
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let term = match &node.data {
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query_graph::QueryNodeData::Term(term) => term,
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query_graph::QueryNodeData::Deleted
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| query_graph::QueryNodeData::Start
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| query_graph::QueryNodeData::End => {
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continue;
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}
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};
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if term.term_ids.len() != 1 {
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continue;
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}
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let Some(exact_term) = term.term_subset.exact_term(ctx) else {
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continue
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};
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let exact_term_docids = match exact_term {
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ExactTerm::Phrase(phrase) => ctx.get_phrase_docids(phrase)? & universe,
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ExactTerm::Word(word) => {
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if let Some(word_docids) = ctx.word_docids(Word::Original(word))? {
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word_docids & universe
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} else {
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continue;
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}
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}
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};
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docids |= exact_term_docids;
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}
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Ok(docids)
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}
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fn resolve_universe(
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ctx: &mut SearchContext,
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initial_universe: &RoaringBitmap,
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query_graph: &QueryGraph,
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method: UniverseResolutionMethod,
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matching_strategy: TermsMatchingStrategy,
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logger: &mut dyn SearchLogger<QueryGraph>,
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) -> Result<RoaringBitmap> {
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match method {
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UniverseResolutionMethod::TermMatchingStrategyOnly => {
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resolve_maximally_reduced_query_graph(
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ctx,
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initial_universe,
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query_graph,
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matching_strategy,
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logger,
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)
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}
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UniverseResolutionMethod::TermMatchingStrategyAndExactness => {
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let mut resolved_universe = resolve_maximally_reduced_query_graph(
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ctx,
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initial_universe,
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query_graph,
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matching_strategy,
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logger,
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)?;
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resolved_universe |=
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resolve_docids_containing_any_exact_word(ctx, initial_universe, query_graph)?;
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Ok(resolved_universe)
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}
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}
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resolve_maximally_reduced_query_graph(
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ctx,
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initial_universe,
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query_graph,
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matching_strategy,
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logger,
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)
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}
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/// Return the list of initialised ranking rules to be used for a placeholder search.
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@ -233,17 +179,12 @@ fn get_ranking_rules_for_placeholder_search<'ctx>(
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Ok(ranking_rules)
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}
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enum UniverseResolutionMethod {
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TermMatchingStrategyOnly,
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TermMatchingStrategyAndExactness,
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}
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/// Return the list of initialised ranking rules to be used for a query graph search.
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fn get_ranking_rules_for_query_graph_search<'ctx>(
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ctx: &SearchContext<'ctx>,
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sort_criteria: &Option<Vec<AscDesc>>,
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terms_matching_strategy: TermsMatchingStrategy,
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) -> Result<(Vec<BoxRankingRule<'ctx, QueryGraph>>, UniverseResolutionMethod)> {
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) -> Result<Vec<BoxRankingRule<'ctx, QueryGraph>>> {
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// query graph search
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let mut words = false;
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let mut typo = false;
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@ -254,14 +195,15 @@ fn get_ranking_rules_for_query_graph_search<'ctx>(
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let mut asc = HashSet::new();
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let mut desc = HashSet::new();
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let mut universe_resolution_method = UniverseResolutionMethod::TermMatchingStrategyOnly;
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let mut ranking_rules: Vec<BoxRankingRule<QueryGraph>> = vec![];
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let settings_ranking_rules = ctx.index.criteria(ctx.txn)?;
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for rr in settings_ranking_rules {
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// Add Words before any of: typo, proximity, attribute
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match rr {
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crate::Criterion::Typo | crate::Criterion::Attribute | crate::Criterion::Proximity => {
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crate::Criterion::Typo
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| crate::Criterion::Attribute
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| crate::Criterion::Proximity
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| crate::Criterion::Exactness => {
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if !words {
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ranking_rules.push(Box::new(Words::new(terms_matching_strategy)));
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words = true;
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@ -313,11 +255,6 @@ fn get_ranking_rules_for_query_graph_search<'ctx>(
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ranking_rules.push(Box::new(ExactAttribute::new()));
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ranking_rules.push(Box::new(Exactness::new()));
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exactness = true;
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if !words {
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universe_resolution_method =
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UniverseResolutionMethod::TermMatchingStrategyAndExactness;
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}
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}
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crate::Criterion::Asc(field_name) => {
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if asc.contains(&field_name) {
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@ -335,7 +272,7 @@ fn get_ranking_rules_for_query_graph_search<'ctx>(
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}
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}
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}
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Ok((ranking_rules, universe_resolution_method))
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Ok(ranking_rules)
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}
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fn resolve_sort_criteria<'ctx, Query: RankingRuleQueryTrait>(
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@ -417,17 +354,11 @@ pub fn execute_search(
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check_sort_criteria(ctx, sort_criteria.as_ref())?;
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let (ranking_rules, universe_resolution_method) =
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let ranking_rules =
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get_ranking_rules_for_query_graph_search(ctx, sort_criteria, terms_matching_strategy)?;
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universe = resolve_universe(
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ctx,
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&universe,
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&graph,
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universe_resolution_method,
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terms_matching_strategy,
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query_graph_logger,
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)?;
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universe =
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resolve_universe(ctx, &universe, &graph, terms_matching_strategy, query_graph_logger)?;
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bucket_sort(ctx, ranking_rules, &graph, &universe, from, length, query_graph_logger)?
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} else {
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@ -3,13 +3,14 @@ use roaring::RoaringBitmap;
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use super::{ComputedCondition, RankingRuleGraphTrait};
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use crate::search::new::interner::{DedupInterner, Interned};
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use crate::search::new::query_term::{ExactTerm, LocatedQueryTermSubset};
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use crate::search::new::resolve_query_graph::compute_query_term_subset_docids;
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use crate::search::new::Word;
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use crate::{Result, SearchContext};
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#[derive(Clone, PartialEq, Eq, Hash)]
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pub enum ExactnessCondition {
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ExactInAttribute(LocatedQueryTermSubset),
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Skip(LocatedQueryTermSubset),
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Any(LocatedQueryTermSubset),
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}
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pub enum ExactnessGraph {}
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@ -54,7 +55,11 @@ impl RankingRuleGraphTrait for ExactnessGraph {
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end_term_subset.term_subset.make_mandatory();
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(compute_docids(ctx, dest_node, universe)?, end_term_subset)
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}
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ExactnessCondition::Skip(dest_node) => (universe.clone(), dest_node.clone()),
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ExactnessCondition::Any(dest_node) => {
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let docids =
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universe & compute_query_term_subset_docids(ctx, &dest_node.term_subset)?;
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(docids, dest_node.clone())
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}
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};
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Ok(ComputedCondition {
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@ -74,7 +79,7 @@ impl RankingRuleGraphTrait for ExactnessGraph {
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let exact_condition = ExactnessCondition::ExactInAttribute(dest_node.clone());
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let exact_condition = conditions_interner.insert(exact_condition);
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let skip_condition = ExactnessCondition::Skip(dest_node.clone());
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let skip_condition = ExactnessCondition::Any(dest_node.clone());
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let skip_condition = conditions_interner.insert(skip_condition);
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Ok(vec![(0, exact_condition), (dest_node.term_ids.len() as u32, skip_condition)])
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@ -6,19 +6,17 @@ This module tests the following properties about the exactness ranking rule:
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2. documents which have an attribute which start with the whole query
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3. documents which contain the most exact words from the query
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- the set of all candidates when `exactness` precedes `word` is the union of:
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1. the same set of candidates that would be returned normally
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2. the set of documents that contain at least one exact word from the query
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- the `exactness` ranking rule must be preceded by the `words` ranking rule
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- if it is placed after `word`, then it will only sort documents by:
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- if `words` has already removed terms from the query, then exactness will sort documents as follows:
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1. those that have an attribute which is equal to the whole remaining query, if this query does not have any "gap"
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2. those that have an attribute which start with the whole remaining query, if this query does not have any "gap"
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3. those that contain the most exact words from the remaining query
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- if it is followed by other ranking rules, then:
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1. `word` will not remove the exact terms matched by `exactness`
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2. graph-based ranking rules (`typo`, `proximity`, `attribute`) will only work with
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(1) the exact terms selected by `exactness` or (2) the full query term otherwise
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- if it is followed by other graph-based ranking rules (`typo`, `proximity`, `attribute`).
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Then these rules will only work with
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1. the exact terms selected by `exactness
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2. the full query term otherwise
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*/
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use crate::{
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@ -440,14 +438,14 @@ fn test_exactness_simple_ordered() {
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s.terms_matching_strategy(TermsMatchingStrategy::Last);
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s.query("the quick brown fox jumps over the lazy dog");
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let SearchResult { documents_ids, .. } = s.execute().unwrap();
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insta::assert_snapshot!(format!("{documents_ids:?}"), @"[9, 8, 6, 7, 5, 4, 3, 2, 1]");
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insta::assert_snapshot!(format!("{documents_ids:?}"), @"[9, 8, 7, 6, 5, 4, 3, 2, 1]");
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let texts = collect_field_values(&index, &txn, "text", &documents_ids);
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insta::assert_debug_snapshot!(texts, @r###"
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[
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"\"the quick brown fox jumps over the lazy dog\"",
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"\"the quick brown fox jumps over the lazy\"",
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"\"the quick brown fox jumps over\"",
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"\"the quick brown fox jumps over the\"",
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"\"the quick brown fox jumps over\"",
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"\"the quick brown fox jumps\"",
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"\"the quick brown fox\"",
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"\"the quick brown\"",
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@ -467,19 +465,17 @@ fn test_exactness_simple_reversed() {
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s.terms_matching_strategy(TermsMatchingStrategy::Last);
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s.query("the quick brown fox jumps over the lazy dog");
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let SearchResult { documents_ids, .. } = s.execute().unwrap();
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insta::assert_snapshot!(format!("{documents_ids:?}"), @"[9, 8, 7, 6, 5, 4, 3, 2, 1]");
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insta::assert_snapshot!(format!("{documents_ids:?}"), @"[9, 8, 3, 4, 5, 6, 7]");
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let texts = collect_field_values(&index, &txn, "text", &documents_ids);
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insta::assert_debug_snapshot!(texts, @r###"
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[
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"\"the quick brown fox jumps over the lazy dog\"",
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"\"quick brown fox jumps over the lazy dog\"",
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"\"brown fox jumps over the lazy dog\"",
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"\"fox jumps over the lazy dog\"",
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"\"jumps over the lazy dog\"",
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"\"over the lazy dog\"",
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"\"the lazy dog\"",
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"\"lazy dog\"",
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"\"dog\"",
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"\"over the lazy dog\"",
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"\"jumps over the lazy dog\"",
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"\"fox jumps over the lazy dog\"",
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"\"brown fox jumps over the lazy dog\"",
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]
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"###);
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@ -487,19 +483,17 @@ fn test_exactness_simple_reversed() {
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s.terms_matching_strategy(TermsMatchingStrategy::Last);
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s.query("the quick brown fox jumps over the lazy dog");
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let SearchResult { documents_ids, .. } = s.execute().unwrap();
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insta::assert_snapshot!(format!("{documents_ids:?}"), @"[9, 8, 7, 6, 5, 4, 3, 2, 1]");
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insta::assert_snapshot!(format!("{documents_ids:?}"), @"[9, 8, 3, 4, 5, 6, 7]");
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let texts = collect_field_values(&index, &txn, "text", &documents_ids);
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insta::assert_debug_snapshot!(texts, @r###"
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[
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"\"the quick brown fox jumps over the lazy dog\"",
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"\"quick brown fox jumps over the lazy dog\"",
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"\"brown fox jumps over the lazy dog\"",
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"\"fox jumps over the lazy dog\"",
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"\"jumps over the lazy dog\"",
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"\"over the lazy dog\"",
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"\"the lazy dog\"",
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"\"lazy dog\"",
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"\"dog\"",
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"\"over the lazy dog\"",
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"\"jumps over the lazy dog\"",
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"\"fox jumps over the lazy dog\"",
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"\"brown fox jumps over the lazy dog\"",
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]
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"###);
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}
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@ -514,18 +508,16 @@ fn test_exactness_simple_random() {
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s.terms_matching_strategy(TermsMatchingStrategy::Last);
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s.query("the quick brown fox jumps over the lazy dog");
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let SearchResult { documents_ids, .. } = s.execute().unwrap();
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insta::assert_snapshot!(format!("{documents_ids:?}"), @"[8, 7, 5, 6, 3, 4, 1, 2]");
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insta::assert_snapshot!(format!("{documents_ids:?}"), @"[8, 7, 4, 6, 3, 5]");
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let texts = collect_field_values(&index, &txn, "text", &documents_ids);
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insta::assert_debug_snapshot!(texts, @r###"
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[
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"\"the jumps dog quick over brown lazy fox\"",
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"\"the dog brown over jumps quick lazy\"",
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"\"fox the lazy dog brown\"",
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"\"jump dog quick the\"",
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"\"jump fox quick lazy the dog\"",
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"\"brown the lazy\"",
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"\"jump dog quick the\"",
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"\"over\"",
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"\"jump dog\"",
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"\"fox the lazy dog brown\"",
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]
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"###);
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}
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@ -540,17 +532,13 @@ fn test_exactness_attribute_starts_with_simple() {
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s.terms_matching_strategy(TermsMatchingStrategy::Last);
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s.query("this balcony");
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let SearchResult { documents_ids, .. } = s.execute().unwrap();
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insta::assert_snapshot!(format!("{documents_ids:?}"), @"[2, 1, 0, 3, 4, 5, 6]");
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insta::assert_snapshot!(format!("{documents_ids:?}"), @"[2, 1, 0]");
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let texts = collect_field_values(&index, &txn, "text", &documents_ids);
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insta::assert_debug_snapshot!(texts, @r###"
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[
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"\"this balcony\"",
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"\"this balcony is overlooking the sea\"",
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"\"what a lovely view from this balcony, I love it\"",
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"\"over looking the sea is a beautiful balcony\"",
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"\"a beautiful balcony is overlooking the sea\"",
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"\"overlooking the sea is a beautiful balcony, I love it\"",
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"\"overlooking the sea is a beautiful balcony\"",
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]
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"###);
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}
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@ -565,17 +553,14 @@ fn test_exactness_attribute_starts_with_phrase() {
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s.terms_matching_strategy(TermsMatchingStrategy::Last);
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s.query("\"overlooking the sea\" is a beautiful balcony");
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let SearchResult { documents_ids, .. } = s.execute().unwrap();
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insta::assert_snapshot!(format!("{documents_ids:?}"), @"[6, 5, 4, 3, 1, 0, 2]");
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insta::assert_snapshot!(format!("{documents_ids:?}"), @"[6, 5, 4, 1]");
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let texts = collect_field_values(&index, &txn, "text", &documents_ids);
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insta::assert_debug_snapshot!(texts, @r###"
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[
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"\"overlooking the sea is a beautiful balcony\"",
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"\"overlooking the sea is a beautiful balcony, I love it\"",
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"\"a beautiful balcony is overlooking the sea\"",
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"\"over looking the sea is a beautiful balcony\"",
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"\"this balcony is overlooking the sea\"",
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"\"what a lovely view from this balcony, I love it\"",
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"\"this balcony\"",
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]
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"###);
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@ -583,7 +568,7 @@ fn test_exactness_attribute_starts_with_phrase() {
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s.terms_matching_strategy(TermsMatchingStrategy::Last);
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s.query("overlooking the sea is a beautiful balcony");
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let SearchResult { documents_ids, .. } = s.execute().unwrap();
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insta::assert_snapshot!(format!("{documents_ids:?}"), @"[6, 5, 4, 3, 1, 0, 2, 7]");
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insta::assert_snapshot!(format!("{documents_ids:?}"), @"[6, 5, 4, 3, 1, 7]");
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let texts = collect_field_values(&index, &txn, "text", &documents_ids);
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insta::assert_debug_snapshot!(texts, @r###"
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[
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@ -592,8 +577,6 @@ fn test_exactness_attribute_starts_with_phrase() {
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"\"a beautiful balcony is overlooking the sea\"",
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"\"over looking the sea is a beautiful balcony\"",
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"\"this balcony is overlooking the sea\"",
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"\"what a lovely view from this balcony, I love it\"",
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"\"this balcony\"",
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"\"overlooking\"",
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]
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"###);
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@ -609,19 +592,16 @@ fn test_exactness_all_candidates_with_typo() {
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s.terms_matching_strategy(TermsMatchingStrategy::Last);
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s.query("overlocking the sea is a beautiful balcony");
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let SearchResult { documents_ids, .. } = s.execute().unwrap();
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insta::assert_snapshot!(format!("{documents_ids:?}"), @"[3, 4, 5, 6, 1, 0, 2, 7]");
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insta::assert_snapshot!(format!("{documents_ids:?}"), @"[4, 5, 6, 1, 7]");
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let texts = collect_field_values(&index, &txn, "text", &documents_ids);
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// "overlooking" is returned here because the term matching strategy allows it
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// but it has the worst exactness score (0 exact words)
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insta::assert_debug_snapshot!(texts, @r###"
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[
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"\"over looking the sea is a beautiful balcony\"",
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"\"a beautiful balcony is overlooking the sea\"",
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"\"overlooking the sea is a beautiful balcony, I love it\"",
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"\"overlooking the sea is a beautiful balcony\"",
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"\"this balcony is overlooking the sea\"",
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"\"what a lovely view from this balcony, I love it\"",
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"\"this balcony\"",
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"\"overlooking\"",
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]
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"###);
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@ -686,26 +666,26 @@ fn test_words_after_exactness() {
|
||||
s.terms_matching_strategy(TermsMatchingStrategy::Last);
|
||||
s.query("the quick brown fox jumps over the lazy dog");
|
||||
let SearchResult { documents_ids, .. } = s.execute().unwrap();
|
||||
insta::assert_snapshot!(format!("{documents_ids:?}"), @"[19, 18, 16, 17, 9, 15, 8, 14, 6, 7, 13, 5, 4, 12, 3, 2, 1, 11]");
|
||||
insta::assert_snapshot!(format!("{documents_ids:?}"), @"[19, 9, 18, 8, 17, 16, 6, 7, 15, 5, 14, 4, 13, 3, 12, 2, 1, 11]");
|
||||
let texts = collect_field_values(&index, &txn, "text", &documents_ids);
|
||||
|
||||
insta::assert_debug_snapshot!(texts, @r###"
|
||||
[
|
||||
"\"the quick brown fox jumps over the lazy dog\"",
|
||||
"\"the quick brown fox jumps over the lazy\"",
|
||||
"\"the quick brown fox jumps over\"",
|
||||
"\"the quick brown fox jumps over the\"",
|
||||
"\"the quack briwn fox jlmps over the lazy dog\"",
|
||||
"\"the quick brown fox jumps\"",
|
||||
"\"the quick brown fox jumps over the lazy\"",
|
||||
"\"the quack briwn fox jlmps over the lazy\"",
|
||||
"\"the quick brown fox\"",
|
||||
"\"the quick brown fox jumps over the\"",
|
||||
"\"the quick brown fox jumps over\"",
|
||||
"\"the quack briwn fox jlmps over\"",
|
||||
"\"the quack briwn fox jlmps over the\"",
|
||||
"\"the quick brown\"",
|
||||
"\"the quick brown fox jumps\"",
|
||||
"\"the quack briwn fox jlmps\"",
|
||||
"\"the quick brown fox\"",
|
||||
"\"the quack briwn fox\"",
|
||||
"\"the quick\"",
|
||||
"\"the quick brown\"",
|
||||
"\"the quack briwn\"",
|
||||
"\"the quick\"",
|
||||
"\"the quack\"",
|
||||
"\"the\"",
|
||||
"\"the\"",
|
||||
@ -729,7 +709,7 @@ fn test_proximity_after_exactness() {
|
||||
s.terms_matching_strategy(TermsMatchingStrategy::Last);
|
||||
s.query("the quick brown fox jumps over the lazy dog");
|
||||
let SearchResult { documents_ids, .. } = s.execute().unwrap();
|
||||
insta::assert_snapshot!(format!("{documents_ids:?}"), @"[2, 1, 0, 5, 4, 3, 8, 6, 7]");
|
||||
insta::assert_snapshot!(format!("{documents_ids:?}"), @"[2, 1, 0, 4, 5, 8, 7, 3, 6]");
|
||||
let texts = collect_field_values(&index, &txn, "text", &documents_ids);
|
||||
|
||||
insta::assert_debug_snapshot!(texts, @r###"
|
||||
@ -737,12 +717,12 @@ fn test_proximity_after_exactness() {
|
||||
"\"the quick brown fox jumps over the lazy dog\"",
|
||||
"\"the quick brown fox jumps over the very lazy dog\"",
|
||||
"\"lazy jumps dog brown quick the over fox the\"",
|
||||
"\"the quick brown fox over the lazy dog\"",
|
||||
"\"the quick brown fox over the very lazy dog\"",
|
||||
"\"dog brown quick the over fox the lazy\"",
|
||||
"\"the quick brown fox over the lazy dog\"",
|
||||
"\"the quick brown fox over\"",
|
||||
"\"brown quick the over fox\"",
|
||||
"\"the very quick brown fox over\"",
|
||||
"\"dog brown quick the over fox the lazy\"",
|
||||
"\"brown quick the over fox\"",
|
||||
]
|
||||
"###);
|
||||
|
||||
|
||||
Loading…
Reference in New Issue
Block a user