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chore: Move ranking functions in separated files

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Kerollmops 2018-07-07 14:55:40 +02:00 committed by Clément Renault
parent e8c24a0f07
commit 7680f25751
1 changed files with 90 additions and 29 deletions
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117
raptor/src/rank.rs
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@ -39,19 +39,19 @@ impl Document {
}
fn sum_of_typos(lhs: &Document, rhs: &Document) -> Ordering {
let key = |doc: &Document| -> u8 {
GroupBy::new(&doc.matches, match_query_index).map(|m| m[0].distance).sum()
let key = |matches: &[Match]| -> u8 {
GroupBy::new(matches, match_query_index).map(|m| m[0].distance).sum()
};
key(lhs).cmp(&key(rhs))
key(&lhs.matches).cmp(&key(&rhs.matches))
}
fn number_of_words(lhs: &Document, rhs: &Document) -> Ordering {
let key = |doc: &Document| -> usize {
GroupBy::new(&doc.matches, match_query_index).count()
let key = |matches: &[Match]| -> usize {
GroupBy::new(matches, match_query_index).count()
};
key(lhs).cmp(&key(rhs)).reverse()
key(&lhs.matches).cmp(&key(&rhs.matches)).reverse()
}
fn index_proximity(lhs: u32, rhs: u32) -> u32 {
@ -67,47 +67,108 @@ fn attribute_proximity(lhs: &Match, rhs: &Match) -> u32 {
index_proximity(lhs.attribute_index, rhs.attribute_index)
}
fn words_proximity(lhs: &Document, rhs: &Document) -> Ordering {
let key = |doc: &Document| -> u32 {
let mut proximity = 0;
let mut next_group_index = 0;
for group in GroupBy::new(&doc.matches, match_query_index) {
next_group_index += group.len();
// FIXME distance is wrong if 2 different attributes matches
// FIXME do that in a manner to avoid memory cache misses
if let Some(first_next_group) = doc.matches.get(next_group_index) {
proximity += attribute_proximity(first_next_group, &group[0]);
fn min_proximity(lhs: &[Match], rhs: &[Match]) -> u32 {
let mut min_prox = u32::max_value();
for a in lhs {
for b in rhs {
min_prox = cmp::min(min_prox, attribute_proximity(a, b));
}
}
proximity
};
min_prox
}
key(lhs).cmp(&key(rhs))
fn matches_proximity(matches: &[Match]) -> u32 {
let mut proximity = 0;
let mut iter = GroupBy::new(matches, match_query_index);
let mut last = iter.next();
while let (Some(lhs), Some(rhs)) = (last, iter.next()) {
proximity += min_proximity(lhs, rhs);
last = Some(rhs);
}
proximity
}
fn words_proximity(lhs: &Document, rhs: &Document) -> Ordering {
matches_proximity(&lhs.matches).cmp(&matches_proximity(&rhs.matches))
}
#[test]
fn easy_matches_proximity() {
// "soup" "of the" "the day"
//
// { id: 0, attr: 0, attr_index: 0 }
// { id: 1, attr: 1, attr_index: 0 }
// { id: 2, attr: 1, attr_index: 1 }
// { id: 2, attr: 2, attr_index: 0 }
// { id: 3, attr: 3, attr_index: 1 }
let matches = &[
Match { query_index: 0, attribute: 0, attribute_index: 0, ..Match::zero() },
Match { query_index: 1, attribute: 1, attribute_index: 0, ..Match::zero() },
Match { query_index: 2, attribute: 1, attribute_index: 1, ..Match::zero() },
Match { query_index: 2, attribute: 2, attribute_index: 0, ..Match::zero() },
Match { query_index: 3, attribute: 3, attribute_index: 1, ..Match::zero() },
];
// soup -> of = 8
// + of -> the = 1
// + the -> day = 8 (not 1)
assert_eq!(matches_proximity(matches), 17);
}
#[test]
fn another_matches_proximity() {
// "soup day" "soup of the day"
//
// { id: 0, attr: 0, attr_index: 0 }
// { id: 0, attr: 1, attr_index: 0 }
// { id: 1, attr: 1, attr_index: 1 }
// { id: 2, attr: 1, attr_index: 2 }
// { id: 3, attr: 0, attr_index: 1 }
// { id: 3, attr: 1, attr_index: 3 }
let matches = &[
Match { query_index: 0, attribute: 0, attribute_index: 0, ..Match::zero() },
Match { query_index: 0, attribute: 1, attribute_index: 0, ..Match::zero() },
Match { query_index: 1, attribute: 1, attribute_index: 1, ..Match::zero() },
Match { query_index: 2, attribute: 1, attribute_index: 2, ..Match::zero() },
Match { query_index: 3, attribute: 0, attribute_index: 1, ..Match::zero() },
Match { query_index: 3, attribute: 1, attribute_index: 3, ..Match::zero() },
];
// soup -> of = 1
// + of -> the = 1
// + the -> day = 1
assert_eq!(matches_proximity(matches), 3);
}
fn sum_of_words_attribute(lhs: &Document, rhs: &Document) -> Ordering {
let key = |doc: &Document| -> u8 {
GroupBy::new(&doc.matches, match_query_index).map(|m| m[0].attribute).sum()
let key = |matches: &[Match]| -> u8 {
GroupBy::new(matches, match_query_index).map(|m| m[0].attribute).sum()
};
key(lhs).cmp(&key(rhs))
key(&lhs.matches).cmp(&key(&rhs.matches))
}
fn sum_of_words_position(lhs: &Document, rhs: &Document) -> Ordering {
let key = |doc: &Document| -> u32 {
GroupBy::new(&doc.matches, match_query_index).map(|m| m[0].attribute_index).sum()
let key = |matches: &[Match]| -> u32 {
GroupBy::new(matches, match_query_index).map(|m| m[0].attribute_index).sum()
};
key(lhs).cmp(&key(rhs))
key(&lhs.matches).cmp(&key(&rhs.matches))
}
fn exact(lhs: &Document, rhs: &Document) -> Ordering {
let contains_exact = |matches: &[Match]| matches.iter().any(|m| m.is_exact);
let key = |doc: &Document| -> usize {
GroupBy::new(&doc.matches, match_query_index).map(contains_exact).filter(|x| *x).count()
let key = |matches: &[Match]| -> usize {
GroupBy::new(matches, match_query_index).map(contains_exact).filter(Clone::clone).count()
};
key(lhs).cmp(&key(rhs))
key(&lhs.matches).cmp(&key(&rhs.matches))
}
pub struct Pool {