ナチュラルマージソートで配列を並び替える
ナチュラルマージソートを使用する
ナチュラルマージソート (natural merge sort) は、入力にすでに存在する昇順の連続区間(自然ラン)を検出し、隣接するラン同士をマージソートと同じ要領で併合していく。
通常のボトムアップ型マージソートが長さ 1 のランから機械的に倍々で併合するのに対し、最初から「すでに整っている部分」をランとして取り込む点が名前の由来である。
- ランの検出: 配列を左から走査し、隣接要素が非減少(
A[i] <= A[i+1])であるあいだは同じランとして伸ばす。降順に落ちたところで区切り、次のランを始める。 - ペア併合: 見つかったランが 2 本以上なら、隣接する 2 本ずつを先頭からペアにしてマージする。奇数本目の末尾ランは次のパスまで持ち越す。
- 繰り返し: マージ後の配列を再び走査し、ランが 1 本になるまで手順 1〜2 を繰り返す。ランが 1 本になった時点で全体が昇順である。
パスのたびにランを再検出するため、併合の境界でたまたま非減少がつながれば、次パスではより長いランとして扱われる。
procedure natural_merge_sort(A)
n = length(A)
if n <= 1 then
return
loop
runs = empty list of (start, end) // half-open [start, end)
i = 0
while i < n
start = i
i = i + 1
while i < n and A[i - 1] <= A[i]
i = i + 1
append (start, i) to runs
if length(runs) <= 1 then
return
k = 0
while k + 1 < length(runs)
(lo, mid) = runs[k]
(_, hi) = runs[k + 1]
merge(A, lo, mid, hi) // stable two-way merge into A[lo .. hi)
k = k + 2
整列済み入力では最初の走査でランが 1 本だけになり O(n) で終わる。ランダム入力ではラン数が多く、最悪計算量は通常のマージソートと同様に O(n log n) である。マージを安定実装すれば安定ソートになる。
類似アルゴリズムとの相違点
マージソートは分割位置を中央で固定するため、入力の既存順序を活かさない。ナチュラル・マージは自然ランから始める分、整列済みや部分的に整った入力でパス数を減らせる。
ティムソートやパワーソートは、降順ランの反転・短いランの挿入ソート拡張・スタック上のマージ抑制など、自然ラン活用をさらに洗練した実用実装である。本記事の手続きは、その原型にあたる単純な自然ラン+ペア併合に絞っている。
計算時間量および空間計算量を計測する
| Size | Average time | Maximum time | Average memory | Maximum memory |
|---|---|---|---|---|
| 256 | 0.000021 | 0.000231 | 3 | 4 |
| 512 | 0.000042 | 0.001071 | 6 | 8 |
| 1024 | 0.000086 | 0.003006 | 12 | 16 |
| 2048 | 0.000165 | 0.000658 | 24 | 32 |
| 4096 | 0.000396 | 0.002305 | 48 | 64 |
| 8192 | 0.000702 | 0.001914 | 96 | 128 |
| 16384 | 0.001294 | 0.002205 | 192 | 256 |
| 32768 | 0.002717 | 0.005303 | 386 | 512 |
| 65536 | 0.005566 | 0.010019 | 770 | 1024 |
| 131072 | 0.011560 | 0.028378 | 1532 | 2048 |
| 262144 | 0.025664 | 0.060048 | 3079 | 4096 |
計測に使用したコードを表示する
set -euo pipefail
WORKDIR="$(mktemp -d)"
trap 'rm -rf "$WORKDIR"' EXIT
cat > "$WORKDIR/Dockerfile" <<'EOF'
FROM rust:1.95.0
WORKDIR /app
RUN mkdir -p src
RUN cat > Cargo.toml <<'CARGO'
[package]
name = "rust-benchmark"
version = "0.1.0"
edition = "2021"
[profile.release]
lto = true
codegen-units = 1
panic = "abort"
CARGO
RUN cat > src/main.rs <<'RUST'
use std::{
alloc::{GlobalAlloc, Layout, System},
env,
process::Command,
sync::atomic::{AtomicUsize, Ordering as AtomicOrdering},
time::{Duration, Instant},
};
/// Counts live heap bytes and the high-water mark so auxiliary sort buffers
/// (swap Vecs, etc.) are measured as explicit heap growth during the sort.
struct TrackingAllocator;
static LIVE_BYTES: AtomicUsize = AtomicUsize::new(0);
static PEAK_BYTES: AtomicUsize = AtomicUsize::new(0);
fn record_alloc(size: usize) {
let live = LIVE_BYTES.fetch_add(size, AtomicOrdering::Relaxed) + size;
PEAK_BYTES.fetch_max(live, AtomicOrdering::Relaxed);
}
unsafe impl GlobalAlloc for TrackingAllocator {
unsafe fn alloc(&self, layout: Layout) -> *mut u8 {
let ptr = System.alloc(layout);
if !ptr.is_null() {
record_alloc(layout.size());
}
ptr
}
unsafe fn dealloc(&self, ptr: *mut u8, layout: Layout) {
LIVE_BYTES.fetch_sub(layout.size(), AtomicOrdering::Relaxed);
System.dealloc(ptr, layout);
}
unsafe fn alloc_zeroed(&self, layout: Layout) -> *mut u8 {
let ptr = System.alloc_zeroed(layout);
if !ptr.is_null() {
record_alloc(layout.size());
}
ptr
}
unsafe fn realloc(&self, ptr: *mut u8, layout: Layout, new_size: usize) -> *mut u8 {
let new_ptr = System.realloc(ptr, layout, new_size);
if !new_ptr.is_null() {
LIVE_BYTES.fetch_sub(layout.size(), AtomicOrdering::Relaxed);
record_alloc(new_size);
}
new_ptr
}
}
#[global_allocator]
static GLOBAL: TrackingAllocator = TrackingAllocator;
const MIN_POWER: u32 = 8;
const MAX_POWER: u32 = 18;
const RUNS: usize = 8192;
fn natural_merge_sort(a: &mut [usize]) {
let n = a.len();
if n <= 1 {
return;
}
loop {
let mut runs = Vec::new();
let mut i = 0;
while i < n {
let start = i;
i += 1;
while i < n && a[i - 1] <= a[i] {
i += 1;
}
runs.push((start, i));
}
if runs.len() <= 1 {
return;
}
let mut k = 0;
while k + 1 < runs.len() {
let (lo, mid) = runs[k];
let (_, hi) = runs[k + 1];
let mut merged = Vec::with_capacity(hi - lo);
let (mut l, mut r) = (lo, mid);
while l < mid && r < hi {
if a[l] <= a[r] {
merged.push(a[l]);
l += 1;
} else {
merged.push(a[r]);
r += 1;
}
}
merged.extend_from_slice(&a[l..mid]);
merged.extend_from_slice(&a[r..hi]);
a[lo..hi].copy_from_slice(&merged);
k += 2;
}
}
}
fn benchmark_sort(array: &mut [usize]) {
natural_merge_sort(array);
}
fn is_non_decreasing(a: &[usize]) -> bool {
a.windows(2).all(|w| w[0] <= w[1])
}
fn same_multiset(a: &[usize], b: &[usize]) -> bool {
if a.len() != b.len() {
return false;
}
let mut left = a.to_vec();
let mut right = b.to_vec();
left.sort_unstable();
right.sort_unstable();
left == right
}
fn check_correctness_case(label: &str, mut input: Vec<usize>) {
let original = input.clone();
benchmark_sort(&mut input);
if !is_non_decreasing(&input) {
panic!("correctness case {}: output is not sorted", label);
}
if !same_multiset(&input, &original) {
panic!("correctness case {}: elements were lost or added", label);
}
}
fn few_unique_values(size: usize, unique: usize, seed: u64) -> Vec<usize> {
let mut state = seed;
(0..size)
.map(|_| {
state ^= state << 13;
state ^= state >> 7;
state ^= state << 17;
(state as usize % unique) + 1
})
.collect()
}
fn run_correctness_checks() {
check_correctness_case("empty", vec![]);
check_correctness_case("single", vec![42]);
check_correctness_case("duplicates", vec![3, 1, 3, 2, 1, 2]);
check_correctness_case("sorted", vec![1, 2, 3, 4, 5]);
check_correctness_case("reverse", vec![5, 4, 3, 2, 1]);
check_correctness_case("all_equal", vec![7, 7, 7, 7]);
check_correctness_case("skewed_range", vec![1_000_000, 2, 1_000_001, 1, 999_999]);
// Static-buffer Grail skips the in-buffer build when key collection is sparse
// (ideal_buffer = false). Exercising that path catches regressions in buffer gating.
check_correctness_case(
"few_keys_len16",
vec![2, 2, 2, 2, 2, 2, 2, 2, 4, 3, 1, 2, 3, 4, 1, 4],
);
// Seed 0 is a fixed point of the xorshift below, so it would degenerate into
// yet another all-equal case instead of a 4-value mix. Start at 1.
for seed in 1..=32 {
check_correctness_case(
&format!("few_keys_len32_seed_{seed}"),
few_unique_values(32, 4, seed),
);
}
// Small-input cutoffs (insertion sort below 32 elements, etc.) hide duplicate-key
// bugs in the recursive path, so repeat the duplicate cases at the smallest
// benchmark size, which every algorithm must handle within reasonable time.
check_correctness_case("all_equal_len256", vec![7; 256]);
for seed in 1..=4 {
check_correctness_case(
&format!("few_keys_len256_seed_{seed}"),
few_unique_values(256, 4, seed),
);
}
// Blit's equal-key second sweep used to copy the whole range into a fixed
// 512-element swap; lengths above that must still sort without panicking.
check_correctness_case("all_equal_len600", vec![7; 600]);
for seed in 1..=4 {
check_correctness_case(
&format!("few_keys_len2048_seed_{seed}"),
few_unique_values(2048, 4, seed),
);
}
}
fn shuffled(size: usize, seed: u64) -> Vec<usize> {
let mut v: Vec<usize> = (1..=size).collect();
let mut state = seed;
for i in (1..size).rev() {
state ^= state << 13;
state ^= state >> 7;
state ^= state << 17;
let j = (state as usize) % (i + 1);
v.swap(i, j);
}
v
}
fn micros(d: Duration) -> u128 {
d.as_micros()
}
fn input_array(size: usize, seed: u64) -> Vec<usize> {
shuffled(size, seed)
}
/// Peak heap growth during `benchmark_sort`, in bytes (explicit buffers such as swap).
/// Kept in bytes so the parent can average before rounding; converting to KiB here
/// would truncate sub-KiB buffers to 0 in every run and hide them from the average.
fn run_once(size: usize, seed: usize) -> (u128, usize) {
let mut array = input_array(size, seed as u64);
let base_bytes = LIVE_BYTES.load(AtomicOrdering::Relaxed);
PEAK_BYTES.store(base_bytes, AtomicOrdering::Relaxed);
let start = Instant::now();
benchmark_sort(&mut array);
let elapsed = start.elapsed();
let peak_bytes = PEAK_BYTES.load(AtomicOrdering::Relaxed);
let aux_bytes = peak_bytes.saturating_sub(base_bytes);
let expected: Vec<usize> = (1..=size).collect();
if array != expected {
panic!(
"sort failed with seed {} for size {}",
seed,
size
);
}
(micros(elapsed), aux_bytes)
}
fn run_child(args: &[String]) {
let size = args[2].parse::<usize>().expect("invalid size");
let seed = args[3].parse::<usize>().expect("invalid seed");
let (elapsed_us, mem) = run_once(size, seed);
println!("{} {}", elapsed_us, mem);
}
fn main() {
let args: Vec<String> = env::args().collect();
if args.get(1).is_some_and(|arg| arg == "--run-once") {
run_child(&args);
return;
}
run_correctness_checks();
println!(
"| {:>10} | {:>15} | {:>15} | {:>15} | {:>15} |",
"Size",
"Average time",
"Maximum time",
"Average memory",
"Maximum memory"
);
println!(
"|{:-<11}:|{:-<16}:|{:-<16}:|{:-<16}:|{:-<16}:|",
"",
"",
"",
"",
""
);
for power in MIN_POWER..=MAX_POWER {
let size = 1usize << power;
let mut total_time: u128 = 0;
let mut max_time: u128 = 0;
let mut total_mem: usize = 0;
let mut max_mem: usize = 0;
for seed in 1..=RUNS {
let output = Command::new(env::current_exe().expect("failed to find current executable"))
.arg("--run-once")
.arg(size.to_string())
.arg(seed.to_string())
.output()
.expect("failed to run benchmark child process");
if !output.status.success() {
panic!(
"benchmark child process failed: {}",
String::from_utf8_lossy(&output.stderr)
);
}
let stdout = String::from_utf8(output.stdout)
.expect("child process returned non-UTF-8 output");
let mut fields = stdout.split_whitespace();
let elapsed_us = fields
.next()
.expect("missing elapsed time")
.parse::<u128>()
.expect("invalid elapsed time");
let aux_mem = fields
.next()
.expect("missing memory usage")
.parse::<usize>()
.expect("invalid memory usage");
total_time += elapsed_us;
if elapsed_us > max_time {
max_time = elapsed_us;
}
total_mem += aux_mem;
if aux_mem > max_mem {
max_mem = aux_mem;
}
}
let avg_time = total_time / RUNS as u128;
// Memory is summed in bytes and converted to KiB once, after averaging.
let avg_mem_kb = total_mem / RUNS / 1024;
let max_mem_kb = max_mem / 1024;
println!(
"| {:>10} | {:>15} | {:>15} | {:>15} | {:>15} |",
size,
format!("{}.{:06}", avg_time / 1_000_000, avg_time % 1_000_000),
format!("{}.{:06}", max_time / 1_000_000, max_time % 1_000_000),
avg_mem_kb,
max_mem_kb
);
}
}
RUST
RUN cargo build --release
CMD ["./target/release/rust-benchmark"]
EOF
docker build -t rust-benchmark "$WORKDIR"
docker run --rm --init rust-benchmark