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https://github.com/meilisearch/MeiliSearch
synced 2024-11-26 14:54:27 +01:00
merge all the criterion only benchmarks in one file
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a2bff68c1a
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@ -61,13 +61,5 @@ rand = "0.8.3"
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default = []
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[[bench]]
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name = "typo"
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harness = false
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[[bench]]
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name = "words"
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harness = false
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[[bench]]
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name = "proximity"
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name = "criterion"
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harness = false
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58
milli/benches/criterion.rs
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58
milli/benches/criterion.rs
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@ -0,0 +1,58 @@
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mod utils;
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use criterion::{criterion_group, criterion_main};
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fn bench_criterion(c: &mut criterion::Criterion) {
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let confs = &[
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utils::Conf {
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group_name: "proximity",
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queries: &[
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"black saint sinner lady ",
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"les dangeureuses 1960 ",
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"The Disneyland Sing-Along Chorus ",
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"Under Great Northern Lights ",
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"7000 Danses Un Jour Dans Notre Vie",
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],
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criterion: Some(&["proximity"]),
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optional_words: false,
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},
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utils::Conf {
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group_name: "typo",
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queries: &[
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"mongus ",
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"thelonius monk ",
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"Disnaylande ",
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"the white striper ",
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"indochie ",
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"indochien ",
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"klub des loopers ",
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"fear of the duck ",
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"michel depech ",
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"stromal ",
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"dire straights ",
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"Arethla Franklin ",
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],
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criterion: Some(&["typo"]),
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optional_words: false,
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},
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utils::Conf {
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group_name: "words",
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queries: &[
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"the black saint and the sinner lady and the good doggo ", // four words to pop
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"les liaisons dangeureuses 1793 ", // one word to pop
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"The Disneyland Children's Sing-Alone song ", // two words to pop
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"seven nation mummy ", // one word to pop
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"7000 Danses / Le Baiser / je me trompe de mots ", // four words to pop
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"Bring Your Daughter To The Slaughter but now this is not part of the title ", // nine words to pop
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"whathavenotnsuchforth and then a good amount of words tot pop in order to match the first one ", // 16
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],
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criterion: Some(&["words"]),
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optional_words: true,
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}
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];
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utils::run_benches(c, confs);
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}
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criterion_group!(benches, bench_criterion);
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criterion_main!(benches);
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@ -1,33 +0,0 @@
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mod utils;
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use std::time::Duration;
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use criterion::{criterion_group, criterion_main, BenchmarkId};
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fn bench_proximity(c: &mut criterion::Criterion) {
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let index = utils::base_setup(Some(vec!["words".to_string()]));
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let queries = [
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"black saint sinner lady ",
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"les dangeureuses 1960 ",
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"The Disneyland Sing-Alone song ",
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"Under Great Northern Lights ",
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"7000 Danses Un Jour Dans Notre Vie",
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];
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let mut group = c.benchmark_group("proximity");
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group.measurement_time(Duration::from_secs(10));
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for query in &queries {
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group.bench_with_input(BenchmarkId::from_parameter(query), &query, |b, &query| {
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b.iter(|| {
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let rtxn = index.read_txn().unwrap();
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let _documents_ids = index.search(&rtxn).query(*query).optional_words(false).execute().unwrap();
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});
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});
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}
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group.finish();
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}
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criterion_group!(benches, bench_proximity);
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criterion_main!(benches);
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@ -1,40 +0,0 @@
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mod utils;
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use std::time::Duration;
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use criterion::{criterion_group, criterion_main, BenchmarkId};
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fn bench_typo(c: &mut criterion::Criterion) {
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let index = utils::base_setup(Some(vec!["typo".to_string()]));
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let queries = [
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"mongus ",
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"thelonius monk ",
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"Disnaylande ",
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"the white striper ",
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"indochie ",
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"indochien ",
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"klub des loopers ",
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"fear of the duck ",
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"michel depech ",
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"stromal ",
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"dire straights ",
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"Arethla Franklin ",
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];
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let mut group = c.benchmark_group("typo");
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group.measurement_time(Duration::from_secs(10));
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for query in &queries {
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group.bench_with_input(BenchmarkId::from_parameter(query), &query, |b, &query| {
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b.iter(|| {
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let rtxn = index.read_txn().unwrap();
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let _documents_ids = index.search(&rtxn).query(*query).optional_words(false).execute().unwrap();
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});
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});
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}
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group.finish();
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}
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criterion_group!(benches, bench_typo);
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criterion_main!(benches);
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@ -1,9 +1,17 @@
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use std::{fs::{File, create_dir_all}};
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use std::{fs::{File, create_dir_all}, time::Duration};
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use heed::EnvOpenOptions;
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use criterion::BenchmarkId;
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use milli::{Index, update::{IndexDocumentsMethod, UpdateBuilder, UpdateFormat}};
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pub fn base_setup(criteria: Option<Vec<String>>) -> Index {
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pub struct Conf<'a> {
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pub group_name: &'a str,
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pub queries: &'a[&'a str],
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pub criterion: Option<&'a [&'a str]>,
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pub optional_words: bool,
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}
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pub fn base_setup(criterion: Option<Vec<String>>) -> Index {
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let database = "songs.mmdb";
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create_dir_all(&database).unwrap();
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@ -16,12 +24,12 @@ pub fn base_setup(criteria: Option<Vec<String>>) -> Index {
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let mut wtxn = index.write_txn().unwrap();
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let mut builder = update_builder.settings(&mut wtxn, &index);
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if let Some(criteria) = criteria {
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if let Some(criterion) = criterion {
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builder.reset_faceted_fields();
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builder.reset_criteria();
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builder.reset_stop_words();
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builder.set_criteria(criteria);
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builder.set_criteria(criterion);
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}
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builder.execute(|_, _| ()).unwrap();
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@ -39,3 +47,23 @@ pub fn base_setup(criteria: Option<Vec<String>>) -> Index {
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index
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}
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pub fn run_benches(c: &mut criterion::Criterion, confs: &[Conf]) {
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for conf in confs {
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let criterion = conf.criterion.map(|s| s.iter().map(|s| s.to_string()).collect());
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let index = base_setup(criterion);
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let mut group = c.benchmark_group(conf.group_name);
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group.measurement_time(Duration::from_secs(10));
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for &query in conf.queries {
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group.bench_with_input(BenchmarkId::from_parameter(query), &query, |b, &query| {
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b.iter(|| {
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let rtxn = index.read_txn().unwrap();
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let _documents_ids = index.search(&rtxn).query(query).optional_words(conf.optional_words).execute().unwrap();
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});
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});
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}
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group.finish();
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}
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}
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@ -1,35 +0,0 @@
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mod utils;
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use std::time::Duration;
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use criterion::{criterion_group, criterion_main, BenchmarkId};
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fn bench_words(c: &mut criterion::Criterion) {
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let index = utils::base_setup(Some(vec!["words".to_string()]));
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let queries = [
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"the black saint and the sinner lady and the good doggo ", // four words to pop
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"les liaisons dangeureuses 1793 ", // one word to pop
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"The Disneyland Children's Sing-Alone song ", // two words to pop
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"seven nation mummy ", // one word to pop
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"7000 Danses / Le Baiser / je me trompe de mots ", // four words to pop
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"Bring Your Daughter To The Slaughter but now this is not part of the title ", // nine words to pop
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"whathavenotnsuchforth and then a good amount of words tot pop in order to match the first one ", // 16
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];
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let mut group = c.benchmark_group("words");
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group.measurement_time(Duration::from_secs(10));
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for query in &queries {
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group.bench_with_input(BenchmarkId::from_parameter(query), &query, |b, &query| {
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b.iter(|| {
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let rtxn = index.read_txn().unwrap();
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let _documents_ids = index.search(&rtxn).query(*query).execute().unwrap();
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});
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});
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}
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group.finish();
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}
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criterion_group!(benches, bench_words);
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criterion_main!(benches);
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