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Quelle  zerovec.rs   Sprache: unbekannt

 
Spracherkennung für: .rs vermutete Sprache: Unknown {[0] [0] [0]} [Methode: Schwerpunktbildung, einfache Gewichte, sechs Dimensionen]

// This file is part of ICU4X. For terms of use, please see the file
// called LICENSE at the top level of the ICU4X source tree
// (online at: https://github.com/unicode-org/icu4x/blob/main/LICENSE ).

use criterion::{black_box, criterion_group, criterion_main, Criterion};
use rand::SeedableRng;
use rand_distr::{Distribution, LogNormal};
use rand_pcg::Lcg64Xsh32;
use std::fmt;

#[path = "../src/samples.rs"]
mod samples;
use samples::*;

use zerovec::ule::*;
use zerovec::ZeroVec;

#[repr(align(8))]
#[derive(Default)]
struct AlignedBuffer(Vec<u8>);

/// Generate a large list of u32s for stress testing.
#[allow(dead_code)]
fn get_needles_and_haystack() -> (Vec<u32>, Vec<u32>) {
    // Lcg64Xsh32 is a small, fast PRNG for reproducible benchmarks.
    // LogNormal(10, 1) generates numbers with mean 36315 and mode 8103, a distribution that, in
    // spirit, correlates with Unicode properties (many low values and a long tail of high values)
    let mut rng = Lcg64Xsh32::seed_from_u64(2021);
    let dist = LogNormal::new(10.0, 1.0).unwrap();
    let haystack = {
        let mut unsorted: Vec<u32> = (&dist)
            .sample_iter(&mut rng)
            .take(1000)
            .map(|f| f as u32)
            .collect();
        unsorted.sort_unstable();
        unsorted
    };
    let needles: Vec<u32> = (&dist)
        .sample_iter(&mut rng)
        .take(100)
        .map(|f| f as u32)
        .collect();
    (needles, haystack)
}

#[allow(dead_code, clippy::ptr_arg)]
fn vec_to_unaligned_uvec<'a, T>(vec: &Vec<T>, buffer: &'a mut AlignedBuffer) -> ZeroVec<'a, T>
where
    T: EqULE + Copy + PartialEq + fmt::Debug,
{
    // Pad with zero to ensure it is not aligned
    buffer.0.push(0);
    buffer
        .0
        .extend(ZeroVec::from_slice_or_alloc(vec.as_slice()).as_bytes());
    ZeroVec::<T>::parse_byte_slice(&buffer.0[1..]).unwrap()
}

fn overview_bench(c: &mut Criterion) {
    c.bench_function("zerovec/overview", |b| {
        b.iter(|| {
            ZeroVec::<u32>::parse_byte_slice(black_box(TEST_BUFFER_LE))
                .unwrap()
                .iter()
                .sum::<u32>()
        });
    });

    #[cfg(feature = "bench")]
    {
        sum_benches(c);
        binary_search_benches(c);
    }
}

#[cfg(feature = "bench")]
fn sum_benches(c: &mut Criterion) {
    let normal_slice = &TEST_SLICE[0..19];
    let aligned_ule_slice = <u32 as AsULE>::ULE::parse_byte_slice(&TEST_BUFFER_LE[0..76]).unwrap();
    let unalign_ule_slice = <u32 as AsULE>::ULE::parse_byte_slice(&TEST_BUFFER_LE[1..77]).unwrap();

    assert_eq!(normal_slice.len(), aligned_ule_slice.len());
    assert_eq!(normal_slice.len(), unalign_ule_slice.len());

    c.bench_function("zerovec/sum/sample/slice", |b| {
        b.iter(|| {
            black_box(normal_slice)
                .iter()
                .copied()
                .fold(0u32, |sum, val| sum.wrapping_add(val))
        })
    });

    c.bench_function("zerovec/sum/sample/zerovec_aligned", |b| {
        b.iter(|| {
            ZeroVec::<u32>::new_borrowed(black_box(aligned_ule_slice))
                .iter()
                .fold(0u32, |sum, val| sum.wrapping_add(val))
        });
    });

    c.bench_function("zerovec/sum/sample/zerovec_unaligned", |b| {
        b.iter(|| {
            ZeroVec::<u32>::new_borrowed(black_box(unalign_ule_slice))
                .iter()
                .fold(0u32, |sum, val| sum.wrapping_add(val))
        });
    });
}

#[cfg(feature = "bench")]
fn binary_search_benches(c: &mut Criterion) {
    c.bench_function("zerovec/binary_search/sample/slice", |b| {
        b.iter(|| black_box(&TEST_SLICE).binary_search(&0x0c0d0c));
    });

    c.bench_function("zerovec/binary_search/sample/zerovec", |b| {
        let zerovec = ZeroVec::<u32>::parse_byte_slice(black_box(TEST_BUFFER_LE)).unwrap();
        b.iter(|| zerovec.binary_search(&0x0c0d0c));
    });

    let (needles_100, haystack) = get_needles_and_haystack();
    // Only search for 50 needles to put all figures in nanoseconds
    let needles_50 = &needles_100[0..50];

    // *** Binary search vec of 1000 `u32` 50 times ***
    c.bench_function("zerovec/binary_search/log_normal/slice", |b| {
        b.iter(|| {
            black_box(&needles_50)
                .iter()
                .map(|needle| black_box(&haystack).binary_search(needle))
                .filter(|r| r.is_ok())
                .count()
        });
    });

    let mut buffer = AlignedBuffer::default();
    let zerovec = vec_to_unaligned_uvec(black_box(&haystack), &mut buffer);
    assert_eq!(zerovec, haystack.as_slice());

    // *** Binary search vec of 1000 `u32` 50 times ***
    c.bench_function("zerovec/binary_search/log_normal/zerovec", |b| {
        b.iter(|| {
            black_box(&needles_50)
                .iter()
                .map(|needle| black_box(&zerovec).binary_search(needle))
                .filter(|r| r.is_ok())
                .count()
        });
    });

    let single_needle = 36315;

    c.bench_function("zerovec/binary_search/log_normal/single/slice", |b| {
        b.iter(|| black_box(&haystack).binary_search(&single_needle));
    });

    c.bench_function("zerovec/binary_search/log_normal/single/zerovec", |b| {
        b.iter(|| black_box(&zerovec).binary_search(&single_needle));
    });
}

criterion_group!(benches, overview_bench,);
criterion_main!(benches);

[ Dauer der Verarbeitung: 0.33 Sekunden  ]

                                                                                                                                                                                                                                                                                                                                                                                                     


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