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https://github.com/meilisearch/meilisearch.git
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Move the proximity function to a module
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parent
15208c7d3d
commit
e34437b2d7
@ -2,6 +2,7 @@ mod criterion;
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mod query_tokens;
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mod search;
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pub mod heed_codec;
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pub mod proximity;
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pub mod tokenizer;
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use std::collections::HashMap;
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28
src/proximity.rs
Normal file
28
src/proximity.rs
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@ -0,0 +1,28 @@
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use std::cmp;
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use crate::{Attribute, Position};
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const ONE_ATTRIBUTE: u32 = 1000;
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const MAX_DISTANCE: u32 = 8;
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pub fn index_proximity(lhs: u32, rhs: u32) -> u32 {
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if lhs <= rhs {
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cmp::min(rhs - lhs, MAX_DISTANCE)
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} else {
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cmp::min((lhs - rhs) + 1, MAX_DISTANCE)
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}
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}
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pub fn positions_proximity(lhs: Position, rhs: Position) -> u32 {
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let (lhs_attr, lhs_index) = extract_position(lhs);
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let (rhs_attr, rhs_index) = extract_position(rhs);
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if lhs_attr != rhs_attr { MAX_DISTANCE }
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else { index_proximity(lhs_index, rhs_index) }
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}
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pub fn extract_position(position: Position) -> (Attribute, Position) {
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(position / ONE_ATTRIBUTE, position % ONE_ATTRIBUTE)
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}
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pub fn path_proximity(path: &[Position]) -> u32 {
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path.windows(2).map(|w| positions_proximity(w[0], w[1])).sum::<u32>()
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}
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@ -10,6 +10,7 @@ use roaring::bitmap::{IntoIter, RoaringBitmap};
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use near_proximity::near_proximity;
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use crate::proximity::path_proximity;
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use crate::query_tokens::{QueryTokens, QueryToken};
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use crate::{Index, DocumentId, Position};
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@ -194,33 +195,6 @@ impl<'a> Search<'a> {
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let mut documents = Vec::new();
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// TODO move this function elsewhere
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fn compute_proximity(path: &[Position]) -> u32 {
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const ONE_ATTRIBUTE: u32 = 1000;
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const MAX_DISTANCE: u32 = 8;
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fn index_proximity(lhs: u32, rhs: u32) -> u32 {
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if lhs <= rhs {
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cmp::min(rhs - lhs, MAX_DISTANCE)
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} else {
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cmp::min((lhs - rhs) + 1, MAX_DISTANCE)
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}
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}
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fn positions_proximity(lhs: u32, rhs: u32) -> u32 {
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let (lhs_attr, lhs_index) = extract_position(lhs);
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let (rhs_attr, rhs_index) = extract_position(rhs);
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if lhs_attr != rhs_attr { MAX_DISTANCE }
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else { index_proximity(lhs_index, rhs_index) }
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}
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fn extract_position(position: u32) -> (u32, u32) {
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(position / ONE_ATTRIBUTE, position % ONE_ATTRIBUTE)
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}
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path.windows(2).map(|w| positions_proximity(w[0], w[1])).sum::<u32>()
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}
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// If there only is one word, no need to compute the best proximities.
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if derived_words.len() == 1 {
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let found_words = derived_words.into_iter().flat_map(|(w, _)| w).map(|(w, _)| w).collect();
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@ -231,7 +205,7 @@ impl<'a> Search<'a> {
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let mut paths = Vec::new();
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for candidate in candidates {
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let keywords = Self::fecth_keywords(rtxn, index, &derived_words, candidate)?;
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near_proximity(keywords, &mut paths, compute_proximity);
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near_proximity(keywords, &mut paths, path_proximity);
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if let Some((prox, _path)) = paths.first() {
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documents.push((*prox, candidate));
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}
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