mirror of
https://github.com/meilisearch/MeiliSearch
synced 2024-11-26 06:44:27 +01:00
Simplify query_term module a bit
This commit is contained in:
parent
3f13608002
commit
4129d657e2
@ -1,3 +1,4 @@
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use std::borrow::Cow;
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use std::collections::hash_map::Entry;
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use std::hash::Hash;
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@ -24,6 +25,8 @@ pub struct DatabaseCache<'ctx> {
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pub word_docids: FxHashMap<Interned<String>, Option<&'ctx [u8]>>,
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pub exact_word_docids: FxHashMap<Interned<String>, Option<&'ctx [u8]>>,
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pub word_prefix_docids: FxHashMap<Interned<String>, Option<&'ctx [u8]>>,
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pub words_fst: Option<fst::Set<Cow<'ctx, [u8]>>>,
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}
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impl<'ctx> DatabaseCache<'ctx> {
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fn get_value<'v, K1, KC>(
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@ -49,6 +52,16 @@ impl<'ctx> DatabaseCache<'ctx> {
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}
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}
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impl<'ctx> SearchContext<'ctx> {
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pub fn get_words_fst(&mut self) -> Result<fst::Set<Cow<'ctx, [u8]>>> {
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if let Some(fst) = self.db_cache.words_fst.clone() {
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Ok(fst)
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} else {
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let fst = self.index.words_fst(self.txn)?;
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self.db_cache.words_fst = Some(fst.clone());
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Ok(fst)
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}
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}
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/// Retrieve or insert the given value in the `word_docids` database.
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pub fn get_db_word_docids(&mut self, word: Interned<String>) -> Result<Option<&'ctx [u8]>> {
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DatabaseCache::get_value(
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@ -7,14 +7,14 @@ use charabia::{SeparatorKind, TokenKind};
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use fst::automaton::Str;
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use fst::{Automaton, IntoStreamer, Streamer};
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use heed::types::DecodeIgnore;
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use heed::RoTxn;
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use heed::BytesDecode;
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use itertools::Itertools;
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use super::interner::{DedupInterner, Interned};
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use super::{limits, SearchContext};
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use crate::search::fst_utils::{Complement, Intersection, StartsWith, Union};
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use crate::search::{build_dfa, get_first};
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use crate::{CboRoaringBitmapLenCodec, Index, Result, MAX_WORD_LENGTH};
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use crate::{CboRoaringBitmapLenCodec, Result, MAX_WORD_LENGTH};
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/// A phrase in the user's search query, consisting of several words
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/// that must appear side-by-side in the search results.
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@ -191,18 +191,13 @@ impl QueryTermSubset {
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&self,
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ctx: &mut SearchContext,
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) -> Result<BTreeSet<Interned<String>>> {
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let original = ctx.term_interner.get_mut(self.original);
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let mut result = BTreeSet::default();
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// TODO: a compute_partially funtion
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if !self.one_typo_subset.is_empty() || !self.two_typo_subset.is_empty() {
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original.compute_fully_if_needed(
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ctx.index,
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ctx.txn,
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&mut ctx.word_interner,
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&mut ctx.phrase_interner,
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)?;
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self.original.compute_fully_if_needed(ctx)?;
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}
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let original = ctx.term_interner.get_mut(self.original);
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if !self.zero_typo_subset.is_empty() {
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let ZeroTypoTerm { phrase: _, zero_typo, prefix_of, synonyms: _, use_prefix_db: _ } =
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&original.zero_typo;
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@ -245,18 +240,13 @@ impl QueryTermSubset {
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Ok(result)
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}
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pub fn all_phrases(&self, ctx: &mut SearchContext) -> Result<BTreeSet<Interned<Phrase>>> {
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let original = ctx.term_interner.get_mut(self.original);
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let mut result = BTreeSet::default();
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if !self.one_typo_subset.is_empty() {
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// TODO: compute less than fully if possible
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original.compute_fully_if_needed(
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ctx.index,
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ctx.txn,
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&mut ctx.word_interner,
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&mut ctx.phrase_interner,
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)?;
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self.original.compute_fully_if_needed(ctx)?;
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}
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let original = ctx.term_interner.get_mut(self.original);
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let ZeroTypoTerm { phrase, zero_typo: _, prefix_of: _, synonyms, use_prefix_db: _ } =
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&original.zero_typo;
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@ -274,26 +264,23 @@ impl QueryTermSubset {
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}
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}
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impl QueryTerm {
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pub fn compute_fully_if_needed(
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&mut self,
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index: &Index,
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txn: &RoTxn,
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word_interner: &mut DedupInterner<String>,
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phrase_interner: &mut DedupInterner<Phrase>,
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) -> Result<()> {
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if self.max_nbr_typos == 0 {
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self.one_typo = Lazy::Init(OneTypoTerm::default());
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self.two_typo = Lazy::Init(TwoTypoTerm::default());
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} else if self.max_nbr_typos == 1 && self.one_typo.is_uninit() {
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assert!(self.two_typo.is_uninit());
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self.initialize_one_typo_subterm(index, txn, word_interner, phrase_interner)?;
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assert!(self.one_typo.is_init());
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self.two_typo = Lazy::Init(TwoTypoTerm::default());
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} else if self.max_nbr_typos > 1 && self.two_typo.is_uninit() {
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assert!(self.two_typo.is_uninit());
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self.initialize_one_and_two_typo_subterm(index, txn, word_interner, phrase_interner)?;
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assert!(self.one_typo.is_init() && self.two_typo.is_init());
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impl Interned<QueryTerm> {
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pub fn compute_fully_if_needed(self, ctx: &mut SearchContext) -> Result<()> {
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let s = ctx.term_interner.get_mut(self);
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if s.max_nbr_typos == 0 {
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s.one_typo = Lazy::Init(OneTypoTerm::default());
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s.two_typo = Lazy::Init(TwoTypoTerm::default());
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} else if s.max_nbr_typos == 1 && s.one_typo.is_uninit() {
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assert!(s.two_typo.is_uninit());
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self.initialize_one_typo_subterm(ctx)?;
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let s = ctx.term_interner.get_mut(self);
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assert!(s.one_typo.is_init());
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s.two_typo = Lazy::Init(TwoTypoTerm::default());
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} else if s.max_nbr_typos > 1 && s.two_typo.is_uninit() {
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assert!(s.two_typo.is_uninit());
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self.initialize_one_and_two_typo_subterm(ctx)?;
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let s = ctx.term_interner.get_mut(self);
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assert!(s.one_typo.is_init() && s.two_typo.is_init());
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}
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Ok(())
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}
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@ -302,7 +289,7 @@ impl QueryTerm {
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#[derive(Clone, PartialEq, Eq, Hash)]
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pub struct QueryTerm {
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pub original: Interned<String>,
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pub is_multiple_words: bool,
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pub ngram_words: Option<Vec<Interned<String>>>,
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pub max_nbr_typos: u8,
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pub is_prefix: bool,
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pub zero_typo: ZeroTypoTerm,
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@ -363,39 +350,6 @@ impl TwoTypoTerm {
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}
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impl QueryTerm {
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pub fn phrase(
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word_interner: &mut DedupInterner<String>,
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phrase_interner: &mut DedupInterner<Phrase>,
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phrase: Phrase,
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) -> Self {
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Self {
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original: word_interner.insert(phrase.description(word_interner)),
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is_multiple_words: false,
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max_nbr_typos: 0,
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is_prefix: false,
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zero_typo: ZeroTypoTerm {
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phrase: Some(phrase_interner.insert(phrase)),
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zero_typo: None,
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prefix_of: BTreeSet::default(),
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synonyms: BTreeSet::default(),
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use_prefix_db: None,
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},
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one_typo: Lazy::Uninit,
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two_typo: Lazy::Uninit,
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}
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}
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pub fn empty(word_interner: &mut DedupInterner<String>, original: &str) -> Self {
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Self {
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original: word_interner.insert(original.to_owned()),
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is_multiple_words: false,
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is_prefix: false,
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max_nbr_typos: 0,
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zero_typo: <_>::default(),
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one_typo: Lazy::Init(<_>::default()),
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two_typo: Lazy::Init(<_>::default()),
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}
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}
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pub fn is_empty(&self) -> bool {
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let Lazy::Init(one_typo) = &self.one_typo else {
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return false;
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@ -438,13 +392,13 @@ fn find_zero_typo_prefix_derivations(
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}
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fn find_zero_one_typo_derivations(
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ctx: &mut SearchContext,
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word_interned: Interned<String>,
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is_prefix: bool,
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fst: fst::Set<Cow<[u8]>>,
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word_interner: &mut DedupInterner<String>,
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mut visit: impl FnMut(Interned<String>, ZeroOrOneTypo) -> Result<ControlFlow<()>>,
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) -> Result<()> {
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let word = word_interner.get(word_interned).to_owned();
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let fst = ctx.get_words_fst()?;
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let word = ctx.word_interner.get(word_interned).to_owned();
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let word = word.as_str();
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let dfa = build_dfa(word, 1, is_prefix);
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@ -453,7 +407,7 @@ fn find_zero_one_typo_derivations(
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while let Some((derived_word, state)) = stream.next() {
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let derived_word = std::str::from_utf8(derived_word)?;
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let derived_word = word_interner.insert(derived_word.to_owned());
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let derived_word = ctx.word_interner.insert(derived_word.to_owned());
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let d = dfa.distance(state.1);
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match d.to_u8() {
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0 => {
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@ -553,7 +507,17 @@ fn partially_initialized_term_from_word(
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let word_interned = ctx.word_interner.insert(word.to_owned());
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if word.len() > MAX_WORD_LENGTH {
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return Ok(QueryTerm::empty(&mut ctx.word_interner, word));
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return Ok({
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QueryTerm {
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original: ctx.word_interner.insert(word.to_owned()),
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ngram_words: None,
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is_prefix: false,
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max_nbr_typos: 0,
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zero_typo: <_>::default(),
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one_typo: Lazy::Init(<_>::default()),
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two_typo: Lazy::Init(<_>::default()),
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}
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});
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}
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let fst = ctx.index.words_fst(ctx.txn)?;
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@ -610,7 +574,7 @@ fn partially_initialized_term_from_word(
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Ok(QueryTerm {
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original: word_interned,
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is_multiple_words: false,
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ngram_words: None,
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max_nbr_typos: max_typo,
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is_prefix,
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zero_typo,
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@ -619,72 +583,52 @@ fn partially_initialized_term_from_word(
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})
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}
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fn find_split_words(
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index: &Index,
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txn: &RoTxn,
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word_interner: &mut DedupInterner<String>,
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phrase_interner: &mut DedupInterner<Phrase>,
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word: &str,
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) -> Result<Option<Interned<Phrase>>> {
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let split_words = split_best_frequency(index, txn, word)?.map(|(l, r)| {
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phrase_interner.insert(Phrase {
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words: vec![Some(word_interner.insert(l)), Some(word_interner.insert(r))],
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})
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});
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Ok(split_words)
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fn find_split_words(ctx: &mut SearchContext, word: &str) -> Result<Option<Interned<Phrase>>> {
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if let Some((l, r)) = split_best_frequency(ctx, word)? {
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Ok(Some(ctx.phrase_interner.insert(Phrase { words: vec![Some(l), Some(r)] })))
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} else {
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Ok(None)
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}
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}
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impl QueryTerm {
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fn initialize_one_typo_subterm(
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&mut self,
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index: &Index,
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txn: &RoTxn,
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word_interner: &mut DedupInterner<String>,
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phrase_interner: &mut DedupInterner<Phrase>,
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) -> Result<()> {
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let QueryTerm { original, is_prefix, one_typo, .. } = self;
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let original_str = word_interner.get(*original).to_owned();
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impl Interned<QueryTerm> {
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fn initialize_one_typo_subterm(self, ctx: &mut SearchContext) -> Result<()> {
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let self_mut = ctx.term_interner.get_mut(self);
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let QueryTerm { original, is_prefix, one_typo, .. } = self_mut;
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let original = *original;
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let is_prefix = *is_prefix;
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// let original_str = ctx.word_interner.get(*original).to_owned();
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if one_typo.is_init() {
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return Ok(());
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}
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let mut one_typo_words = BTreeSet::new();
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find_zero_one_typo_derivations(
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*original,
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*is_prefix,
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index.words_fst(txn)?,
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word_interner,
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|derived_word, nbr_typos| {
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match nbr_typos {
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ZeroOrOneTypo::Zero => {}
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ZeroOrOneTypo::One => {
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if one_typo_words.len() < limits::MAX_ONE_TYPO_COUNT {
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one_typo_words.insert(derived_word);
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} else {
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return Ok(ControlFlow::Break(()));
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}
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find_zero_one_typo_derivations(ctx, original, is_prefix, |derived_word, nbr_typos| {
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match nbr_typos {
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ZeroOrOneTypo::Zero => {}
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ZeroOrOneTypo::One => {
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if one_typo_words.len() < limits::MAX_ONE_TYPO_COUNT {
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one_typo_words.insert(derived_word);
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} else {
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return Ok(ControlFlow::Break(()));
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}
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}
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Ok(ControlFlow::Continue(()))
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},
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)?;
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let split_words =
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find_split_words(index, txn, word_interner, phrase_interner, original_str.as_str())?;
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}
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Ok(ControlFlow::Continue(()))
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})?;
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let original_str = ctx.word_interner.get(original).to_owned();
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let split_words = find_split_words(ctx, original_str.as_str())?;
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let one_typo = OneTypoTerm { split_words, one_typo: one_typo_words };
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self.one_typo = Lazy::Init(one_typo);
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let self_mut = ctx.term_interner.get_mut(self);
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self_mut.one_typo = Lazy::Init(one_typo);
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Ok(())
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}
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fn initialize_one_and_two_typo_subterm(
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&mut self,
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index: &Index,
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txn: &RoTxn,
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word_interner: &mut DedupInterner<String>,
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phrase_interner: &mut DedupInterner<Phrase>,
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) -> Result<()> {
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let QueryTerm { original, is_prefix, two_typo, .. } = self;
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let original_str = word_interner.get(*original).to_owned();
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fn initialize_one_and_two_typo_subterm(self, ctx: &mut SearchContext) -> Result<()> {
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let self_mut = ctx.term_interner.get_mut(self);
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let QueryTerm { original, is_prefix, two_typo, .. } = self_mut;
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let original_str = ctx.word_interner.get(*original).to_owned();
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if two_typo.is_init() {
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return Ok(());
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}
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@ -694,8 +638,8 @@ impl QueryTerm {
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find_zero_one_two_typo_derivations(
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*original,
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*is_prefix,
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index.words_fst(txn)?,
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word_interner,
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ctx.index.words_fst(ctx.txn)?,
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&mut ctx.word_interner,
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|derived_word, nbr_typos| {
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if one_typo_words.len() >= limits::MAX_ONE_TYPO_COUNT
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&& two_typo_words.len() >= limits::MAX_TWO_TYPOS_COUNT
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@ -719,14 +663,15 @@ impl QueryTerm {
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Ok(ControlFlow::Continue(()))
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},
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)?;
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let split_words =
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find_split_words(index, txn, word_interner, phrase_interner, original_str.as_str())?;
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let split_words = find_split_words(ctx, original_str.as_str())?;
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let self_mut = ctx.term_interner.get_mut(self);
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let one_typo = OneTypoTerm { one_typo: one_typo_words, split_words };
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let two_typo = TwoTypoTerm { two_typos: two_typo_words };
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self.one_typo = Lazy::Init(one_typo);
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self.two_typo = Lazy::Init(two_typo);
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self_mut.one_typo = Lazy::Init(one_typo);
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self_mut.two_typo = Lazy::Init(two_typo);
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Ok(())
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}
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@ -737,38 +682,37 @@ impl QueryTerm {
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///
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/// Return `None` if the original word cannot be split.
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fn split_best_frequency(
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index: &Index,
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txn: &RoTxn,
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ctx: &mut SearchContext,
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original: &str,
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) -> Result<Option<(String, String)>> {
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) -> Result<Option<(Interned<String>, Interned<String>)>> {
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let chars = original.char_indices().skip(1);
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let mut best = None;
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for (i, _) in chars {
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let (left, right) = original.split_at(i);
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let left = ctx.word_interner.insert(left.to_owned());
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let right = ctx.word_interner.insert(right.to_owned());
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let key = (1, left, right);
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let frequency = index
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.word_pair_proximity_docids
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.remap_data_type::<CboRoaringBitmapLenCodec>()
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.get(txn, &key)?
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.unwrap_or(0);
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if frequency != 0 && best.map_or(true, |(old, _, _)| frequency > old) {
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best = Some((frequency, left, right));
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if let Some(docid_bytes) = ctx.get_db_word_pair_proximity_docids(left, right, 1)? {
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let frequency =
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CboRoaringBitmapLenCodec::bytes_decode(docid_bytes).ok_or(heed::Error::Decoding)?;
|
||||
if best.map_or(true, |(old, _, _)| frequency > old) {
|
||||
best = Some((frequency, left, right));
|
||||
}
|
||||
}
|
||||
}
|
||||
|
||||
Ok(best.map(|(_, left, right)| (left.to_owned(), right.to_owned())))
|
||||
Ok(best.map(|(_, left, right)| (left, right)))
|
||||
}
|
||||
|
||||
impl QueryTerm {
|
||||
impl Interned<QueryTerm> {
|
||||
/// Return the original word from the given query term
|
||||
pub fn original_single_word(&self) -> Option<Interned<String>> {
|
||||
if self.is_multiple_words {
|
||||
pub fn original_single_word(self, ctx: &SearchContext) -> Option<Interned<String>> {
|
||||
let self_ = ctx.term_interner.get(self);
|
||||
if self_.ngram_words.is_some() {
|
||||
None
|
||||
} else {
|
||||
Some(self.original)
|
||||
Some(self_.original)
|
||||
}
|
||||
}
|
||||
}
|
||||
@ -824,11 +768,25 @@ impl PhraseBuilder {
|
||||
return None;
|
||||
}
|
||||
Some(LocatedQueryTerm {
|
||||
value: ctx.term_interner.push(QueryTerm::phrase(
|
||||
&mut ctx.word_interner,
|
||||
&mut ctx.phrase_interner,
|
||||
Phrase { words: self.words },
|
||||
)),
|
||||
value: ctx.term_interner.push({
|
||||
let phrase = Phrase { words: self.words };
|
||||
let phrase_desc = phrase.description(&ctx.word_interner);
|
||||
QueryTerm {
|
||||
original: ctx.word_interner.insert(phrase_desc),
|
||||
ngram_words: None,
|
||||
max_nbr_typos: 0,
|
||||
is_prefix: false,
|
||||
zero_typo: ZeroTypoTerm {
|
||||
phrase: Some(ctx.phrase_interner.insert(phrase)),
|
||||
zero_typo: None,
|
||||
prefix_of: BTreeSet::default(),
|
||||
synonyms: BTreeSet::default(),
|
||||
use_prefix_db: None,
|
||||
},
|
||||
one_typo: Lazy::Uninit,
|
||||
two_typo: Lazy::Uninit,
|
||||
}
|
||||
}),
|
||||
positions: self.start..=self.end,
|
||||
})
|
||||
}
|
||||
@ -1001,7 +959,7 @@ pub fn make_ngram(
|
||||
}
|
||||
let mut words_interned = vec![];
|
||||
for term in terms {
|
||||
if let Some(original_term_word) = ctx.term_interner.get(term.value).original_single_word() {
|
||||
if let Some(original_term_word) = term.value.original_single_word(ctx) {
|
||||
words_interned.push(original_term_word);
|
||||
} else {
|
||||
return Ok(None);
|
||||
@ -1036,7 +994,7 @@ pub fn make_ngram(
|
||||
|
||||
let term = QueryTerm {
|
||||
original: ngram_str_interned,
|
||||
is_multiple_words: true,
|
||||
ngram_words: Some(words_interned),
|
||||
is_prefix,
|
||||
max_nbr_typos,
|
||||
zero_typo: term.zero_typo,
|
||||
|
Loading…
Reference in New Issue
Block a user