マージ挿入ソートで配列を並び替える
マージ挿入ソートを使用する
マージ挿入ソート (merge-insertion sort) は、要素をペアに分け、各ペアの大きい方を再帰的に整列し、小さい方を二分探索で挿入する。
Ford-Johnson アルゴリズムとしても知られる。
要素をペアに分けて比較し、各ペアの大きい方を主系列 (main chain)、小さいを保留列 (pend) として分ける。主系列を再帰的に整列し、保留列の要素をヤーコプスタール数に基づく順序で二分探索挿入することで、比較回数の上界が抑えられる。
- ペアリング: 隣接要素を \(\lfloor n/2 \rfloor\) 組のペアに分け、
(小, 大)の順に並べる。要素数が奇数なら最後の1要素は保留列に回す。 - 再帰: 各ペアの大きい方だけを取り出し、同じ手順で再帰的に整列する。
- 主系列の形成: 整列済みの大きい方の列の先頭に、先頭ペアの小さい方を置く。
- 保留列の挿入: 残りの小さい方を、ヤーコプスタール数で決めた順序で1つずつ主系列へ二分探索挿入する。保留列の各要素は、対応するペアの大きい方より左の区間だけを探索範囲とする。
procedure merge_insertion_sort(A)
n = length(A)
if n <= 1 then return
if n = 2 then
compare and swap A[0], A[1] if needed
return
form pairs (small, large) by comparing adjacent elements
L = array of large values from each pair
merge_insertion_sort(L)
reorder pairs by sorted L
chain = [small of first pair] followed by sorted larges
pend = remaining smalls (and odd element if any)
for each index i in jacobsthal_insertion_order(length(pend))
limit = position of paired large for pend[i] in chain
pos = binary_search(chain[0 .. limit), pend[i])
insert pend[i] at pos in chain
copy chain back into A
ヤーコプスタール数 J は \(J_0 = 0\), \(J_1 = 1\), \(J_n = J_{n-1} + 2J_{n-2}\) で定義され、\(J_2\) 以降は 1, 3, 5, 11, 21, 43, … と続く。
保留列の1番目から数えて \(J_2\), \(J_3\), … の位置を先に挿入し、各ヤーコプスタール番号の間にある残りを降順で埋める。たとえば保留列が6要素なら挿入順は 1, 3, 2, 5, 4, 6 となる。
比較回数が理論的下界に近い \(O(n \log n)\) となるが、不安定である。
類似アルゴリズムとの相違点
挿入ソートの \(O(n^2)\) 比較を、ペアリングと主系列への二分挿入で抑える。実装は複雑だが比較回数の最小化が目的である。
時間計算量および空間計算量を計測する
| Size | Average time (s) | Maximum time (s) | Average memory (KiB) | Maximum memory (KiB) |
|---|---|---|---|---|
| 256 | 0.000043 | 0.000461 | 11 | 11 |
| 512 | 0.000119 | 0.000209 | 22 | 22 |
| 1024 | 0.000347 | 0.000639 | 44 | 44 |
| 2048 | 0.001048 | 0.001873 | 89 | 89 |
| 4096 | 0.003814 | 0.006333 | 178 | 178 |
| 8192 | 0.014595 | 0.027157 | 356 | 356 |
| 16384 | 0.057035 | 0.134021 | 712 | 712 |
| 32768 | 0.239381 | 0.429374 | 1424 | 1424 |
計測に使用したコードを表示する
#!/usr/bin/env swift
import Foundation
// This standalone Swift driver creates the same temporary Docker build
// context as the former shell wrapper. The benchmark program itself remains
// embedded below so readers can copy one complete, reproducible file.
struct BenchmarkError: Error, CustomStringConvertible {
let message: String
var description: String { message }
init(_ message: String) {
self.message = message
}
}
func runCommand(_ executable: String, _ arguments: [String]) throws {
let process = Process()
process.executableURL = URL(fileURLWithPath: "/usr/bin/env")
process.arguments = [executable] + arguments
process.standardInput = FileHandle.standardInput
process.standardOutput = FileHandle.standardOutput
process.standardError = FileHandle.standardError
do {
try process.run()
} catch {
throw BenchmarkError("Could not start \(executable): \(error)")
}
process.waitUntilExit()
guard process.terminationStatus == 0 else {
throw BenchmarkError(
"Command failed (\(process.terminationStatus)): " +
"\(executable) \(arguments.joined(separator: " "))"
)
}
}
do {
// The UUID avoids collisions when two benchmark copies are run at once.
let workdir = FileManager.default.temporaryDirectory
.appendingPathComponent("swift-sort-benchmark-\(UUID().uuidString)")
try FileManager.default.createDirectory(at: workdir, withIntermediateDirectories: true)
defer { try? FileManager.default.removeItem(at: workdir) }
// A raw Swift string is used so the nested main.swift keeps its own
// interpolation expressions such as \(seed) until Docker compiles it.
let dockerfile = #"""
FROM swift:6.0
WORKDIR /app
RUN cat > alloc_track.c <<'ALLOC'
#define _GNU_SOURCE
#include <dlfcn.h>
#include <malloc.h>
#include <stdatomic.h>
#include <stddef.h>
#include <stdint.h>
#include <stdlib.h>
#include <string.h>
static atomic_size_t live_bytes = 0;
static atomic_size_t peak_bytes = 0;
static void *(*real_malloc)(size_t) = NULL;
static void *(*real_calloc)(size_t, size_t) = NULL;
static void *(*real_realloc)(void *, size_t) = NULL;
static void (*real_free)(void *) = NULL;
static void init_reals(void) {
if (real_malloc) {
return;
}
real_malloc = (void *(*)(size_t))dlsym(RTLD_NEXT, "malloc");
real_calloc = (void *(*)(size_t, size_t))dlsym(RTLD_NEXT, "calloc");
real_realloc = (void *(*)(void *, size_t))dlsym(RTLD_NEXT, "realloc");
real_free = (void (*)(void *))dlsym(RTLD_NEXT, "free");
}
static void record_alloc(size_t size) {
size_t live = atomic_fetch_add(&live_bytes, size) + size;
size_t peak = atomic_load(&peak_bytes);
while (live > peak) {
if (atomic_compare_exchange_weak(&peak_bytes, &peak, live)) {
break;
}
}
}
void alloc_track_reset_peak(void) {
atomic_store(&peak_bytes, atomic_load(&live_bytes));
}
size_t alloc_track_live(void) { return atomic_load(&live_bytes); }
size_t alloc_track_peak(void) { return atomic_load(&peak_bytes); }
void *malloc(size_t size) {
init_reals();
void *p = real_malloc(size);
if (p) {
record_alloc(malloc_usable_size(p));
}
return p;
}
void *calloc(size_t nmemb, size_t size) {
init_reals();
void *p = real_calloc(nmemb, size);
if (p) {
record_alloc(malloc_usable_size(p));
}
return p;
}
void *realloc(void *ptr, size_t size) {
init_reals();
size_t old_size = 0;
if (ptr) {
old_size = malloc_usable_size(ptr);
}
void *p = real_realloc(ptr, size);
if (p) {
atomic_fetch_sub(&live_bytes, old_size);
record_alloc(malloc_usable_size(p));
} else if (size == 0) {
atomic_fetch_sub(&live_bytes, old_size);
}
return p;
}
void free(void *ptr) {
init_reals();
if (ptr) {
atomic_fetch_sub(&live_bytes, malloc_usable_size(ptr));
real_free(ptr);
}
}
ALLOC
RUN cat > main.swift <<'SWIFT'
import Foundation
#if canImport(Glibc)
import Glibc
#elseif canImport(Darwin)
import Darwin
#endif
@_silgen_name("alloc_track_live") func alloc_track_live() -> Int
@_silgen_name("alloc_track_peak") func alloc_track_peak() -> Int
@_silgen_name("alloc_track_reset_peak") func alloc_track_reset_peak()
extension UnsafeMutableBufferPointer where Element == Int {
func swapAt(_ i: Int, _ j: Int) {
let t = self[i]; self[i] = self[j]; self[j] = t
}
}
let MIN_POWER: Int = 8
let MAX_POWER: Int = 15
let RUNS: Int = 8192
private func ford_johnson_insert_order(_ m: Int) -> [Int] {
if m == 0 {
return []
}
var js = [0, 1]
while js.last! < m {
let l = js.count
js.append(js[l - 1] + 2 * js[l - 2])
}
var order = [Int]()
var used = [Bool](repeating: false, count: m)
var prev_j = 0
for j in js.dropFirst() {
if j > m {
break
}
if j > prev_j {
for idx in stride(from: j - 1, through: prev_j, by: -1) {
if idx < m && !used[idx] {
order.append(idx)
used[idx] = true
}
}
prev_j = j
}
}
for idx in stride(from: m - 1, through: 0, by: -1) {
if !used[idx] {
order.append(idx)
}
}
return order
}
private func ford_johnson_reorder_pairs(
_ pairs: [(Int, Int)],
_ sorted_larges: [Int]
) -> [(Int, Int)] {
var out = [(Int, Int)]()
out.reserveCapacity(sorted_larges.count)
var taken = [Bool](repeating: false, count: pairs.count)
for lg in sorted_larges {
for (i, p) in pairs.enumerated() {
if !taken[i] && p.1 == lg {
out.append(p)
taken[i] = true
break
}
}
}
return out
}
func ford_johnson(_ a: inout [Int]) {
a.withUnsafeMutableBufferPointer { ford_johnson($0) }
}
func ford_johnson(_ a: UnsafeMutableBufferPointer<Int>) {
let n = a.count
if n <= 1 {
return
}
if n == 2 {
if a[0] > a[1] {
a.swapAt(0, 1)
}
return
}
let pair_count = n / 2
var pairs = [(Int, Int)]()
pairs.reserveCapacity(pair_count)
for i in 0..<pair_count {
let lo = 2 * i
let hi = lo + 1
if a[lo] > a[hi] {
pairs.append((a[hi], a[lo]))
} else {
pairs.append((a[lo], a[hi]))
}
}
let odd: Int? = n % 2 == 1 ? a[n - 1] : nil
var larges = pairs.map { $0.1 }
ford_johnson(&larges)
let sorted_pairs = ford_johnson_reorder_pairs(pairs, larges)
var chain = [Int]()
chain.reserveCapacity(n)
chain.append(sorted_pairs[0].0)
chain.append(contentsOf: sorted_pairs.map { $0.1 })
var pending_pairs = Array(sorted_pairs.dropFirst())
if let v = odd {
pending_pairs.append((v, Int.max))
}
let pending = pending_pairs.map { $0.0 }
for idx in ford_johnson_insert_order(pending.count) {
let val = pending[idx]
let limit: Int
if pending_pairs[idx].1 == Int.max {
limit = chain.count
} else {
limit = chain.firstIndex(of: pending_pairs[idx].1) ?? chain.count
}
var pos = 0
while pos < limit && chain[pos] < val {
pos += 1
}
chain.insert(val, at: pos)
}
for i in 0..<n {
a[i] = chain[i]
}
}
func benchmark_sort(_ array: inout [Int]) {
ford_johnson(&array)
}
func is_non_decreasing(_ a: [Int]) -> Bool {
guard a.count >= 2 else { return true }
for i in 1..<a.count {
if a[i - 1] > a[i] { return false }
}
return true
}
func same_multiset(_ a: [Int], _ b: [Int]) -> Bool {
if a.count != b.count {
return false
}
var left = a
var right = b
left.sort()
right.sort()
return left == right
}
func check_correctness_case(_ label: String, _ input: [Int]) {
var input = input
let original = input
benchmark_sort(&input)
if !is_non_decreasing(input) {
fatalError("correctness case \(label): output is not sorted")
}
if !same_multiset(input, original) {
fatalError("correctness case \(label): elements were lost or added")
}
}
// Skip cases larger than the algorithm's measured size cap (MAX_POWER). That
// cap exists because larger inputs are impractically slow; forcing them here
// would stall the published measurement script before any table rows print.
func check_correctness_case_within_limit(_ label: String, _ input: [Int]) {
if input.count > (1 << MAX_POWER) {
return
}
check_correctness_case(label, input)
}
func few_unique_values(_ size: Int, _ unique: Int, _ seed: UInt64) -> [Int] {
var state = seed
var result = [Int]()
result.reserveCapacity(size)
for _ in 0..<size {
state ^= state << 13
state ^= state >> 7
state ^= state << 17
result.append(Int(state % UInt64(unique)) + 1)
}
return result
}
func run_correctness_checks() {
check_correctness_case("empty", [])
check_correctness_case("single", [42])
check_correctness_case("duplicates", [3, 1, 3, 2, 1, 2])
check_correctness_case("sorted", [1, 2, 3, 4, 5])
check_correctness_case("reverse", [5, 4, 3, 2, 1])
check_correctness_case("all_equal", [7, 7, 7, 7])
check_correctness_case("skewed_range", [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",
[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(
"few_keys_len32_seed_\(seed)",
few_unique_values(32, 4, UInt64(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", [Int](repeating: 7, count: 256))
for seed in 1...4 {
check_correctness_case(
"few_keys_len256_seed_\(seed)",
few_unique_values(256, 4, UInt64(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.
// Respect MAX_POWER so algorithms with a low measured-size cap (slow,
// sleep) do not hang here for minutes or months.
check_correctness_case_within_limit("all_equal_len600", [Int](repeating: 7, count: 600))
for seed in 1...4 {
check_correctness_case_within_limit(
"few_keys_len2048_seed_\(seed)",
few_unique_values(2048, 4, UInt64(seed))
)
}
}
func shuffled(_ size: Int, seed: UInt64) -> [Int] {
guard size > 0 else { return [] }
var v = Array(1...size)
var state = seed
if size > 1 {
for i in stride(from: size - 1, through: 1, by: -1) {
state ^= state << 13
state ^= state >> 7
state ^= state << 17
let j = Int(state % UInt64(i + 1))
v.swapAt(i, j)
}
}
return v
}
func micros(_ d: Duration) -> UInt64 {
let c = d.components
let fromSeconds = UInt64(c.seconds) * 1_000_000
let fromAttos = UInt64(max(0, c.attoseconds / 1_000_000_000_000))
return fromSeconds + fromAttos
}
func padLeft(_ value: String, _ width: Int) -> String {
if value.count >= width {
return value
}
return String(repeating: " ", count: width - value.count) + value
}
func formatSeconds(_ micros: UInt64) -> String {
let whole = micros / 1_000_000
let frac = micros % 1_000_000
let fracStr = padLeft(String(frac), 6).replacingOccurrences(of: " ", with: "0")
return "\(whole).\(fracStr)"
}
func input_array(_ size: Int, seed: UInt64) -> [Int] {
shuffled(size, seed: 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.
func run_once(size: Int, seed: Int) -> (UInt64, Int) {
var array = input_array(size, seed: UInt64(seed))
let baseBytes = alloc_track_live()
alloc_track_reset_peak()
let start = ContinuousClock.now
benchmark_sort(&array)
let elapsed = ContinuousClock.now - start
let peakBytes = alloc_track_peak()
let auxBytes = max(0, peakBytes - baseBytes)
let expected: [Int] = size > 0 ? Array(1...size) : []
if array != expected {
fatalError("sort failed with seed \(seed) for size \(size)")
}
return (micros(elapsed), auxBytes)
}
func run_child(_ args: [String]) {
let size = Int(args[2])!
let seed = Int(args[3])!
let (elapsedUs, mem) = run_once(size: size, seed: seed)
print("\(elapsedUs) \(mem)")
}
let args = CommandLine.arguments
if args.count > 1 && args[1] == "--run-once" {
run_child(args)
} else {
run_correctness_checks()
let tableHeader =
"| \(padLeft("Size", 10)) | " +
"\(padLeft("Average time (s)", 16)) | " +
"\(padLeft("Maximum time (s)", 16)) | " +
"\(padLeft("Average memory (KiB)", 20)) | " +
"\(padLeft("Maximum memory (KiB)", 20)) |"
print(tableHeader)
print("|-----------:|-----------------:|-----------------:|---------------------:|---------------------:|")
for power in MIN_POWER...MAX_POWER {
let size = 1 << power
var totalTime: UInt64 = 0
var maxTime: UInt64 = 0
var totalMem = 0
var maxMem = 0
for seed in 1...RUNS {
let process = Process()
process.executableURL = URL(fileURLWithPath: args[0])
process.arguments = ["--run-once", "\(size)", "\(seed)"]
let stdout = Pipe()
let stderr = Pipe()
process.standardOutput = stdout
process.standardError = stderr
do {
try process.run()
} catch {
fatalError("failed to run benchmark child process: \(error)")
}
process.waitUntilExit()
if process.terminationStatus != 0 {
let err = String(data: stderr.fileHandleForReading.readDataToEndOfFile(), encoding: .utf8) ?? ""
fatalError("benchmark child process failed: \(err)")
}
let data = stdout.fileHandleForReading.readDataToEndOfFile()
let stdoutText = String(data: data, encoding: .utf8) ?? ""
let fields = stdoutText.split(whereSeparator: \.isWhitespace)
guard fields.count >= 2,
let elapsedUs = UInt64(fields[0]),
let auxMem = Int(fields[1]) else {
fatalError("invalid child process output: \(stdoutText)")
}
totalTime += elapsedUs
if elapsedUs > maxTime {
maxTime = elapsedUs
}
totalMem += auxMem
if auxMem > maxMem {
maxMem = auxMem
}
}
let avgTime = totalTime / UInt64(RUNS)
// Memory is summed in bytes and converted to KiB once, after averaging.
let avgMemKb = totalMem / RUNS / 1024
let maxMemKb = maxMem / 1024
let tableRow =
"| \(padLeft(String(size), 10)) | " +
"\(padLeft(formatSeconds(avgTime), 16)) | " +
"\(padLeft(formatSeconds(maxTime), 16)) | " +
"\(padLeft(String(avgMemKb), 20)) | " +
"\(padLeft(String(maxMemKb), 20)) |"
print(tableRow)
}
}
SWIFT
RUN clang -O2 -fPIC -shared alloc_track.c -o liballoc_track.so -ldl
RUN swiftc -Ounchecked -whole-module-optimization \
main.swift \
-o swift-benchmark \
-L. -lalloc_track \
-Xlinker -rpath -Xlinker /app
ENV LD_PRELOAD=/app/liballoc_track.so
CMD ["./swift-benchmark"]
"""#
try dockerfile.write(
to: workdir.appendingPathComponent("Dockerfile"),
atomically: true,
encoding: .utf8
)
// Keeping build and run as separate child processes preserves Docker's
// normal output and the original image tag used by the benchmark skill.
try runCommand("docker", ["build", "-t", "swift-benchmark", workdir.path])
try runCommand("docker", ["run", "--rm", "--init", "swift-benchmark"])
} catch {
fputs("\(error)\n", stderr)
exit(1)
}