샘플
lru-cache 10.4.3
검증된 샘플 — npm lru-cache 10.4.3. node 22 · linux alpine/x64 · docker에서 contract를 실행해 통과했습니다: LRUCache get, set, and has operations store values, evict LRU…
sha256:c28dbf8264fe3e311e1cda8403c17d34b335eaf6e9ee159fc783b9cdaa4e0cd4
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통과한 계약 영수증을 낸 서로 다른 서명 키의 수입니다. 하나면 작성자 혼자이고, 둘 이상이면 다른 사람도 빌드했다는 뜻입니다. 키는 스스로 만드는 것이고 뒤에 등록된 신원이 없으므로, 세는 것은 사람이 아니라 키입니다.
MIT-0
실행 증거
선언된 환경과 서명된 실행을 분리해 두었습니다. 이 샘플이 무엇을 어디서 실행했는지 그대로 볼 수 있습니다.
- 증거 기준
- 서명된 컨트랙트 통과
- 검증 영수증
- 2
- 빌드한 서명 키
- 1
선언된 환경
linux 24 · ubuntu · glibc 2.39 x64 npm
검증 실행 환경
| 환경 | 컨트랙트 | 단계 | 실행일 |
|---|---|---|---|
| node 22 · linux alpine/x64 · docker ed25519:d91480838ac982c9 | PASS | compile:SKIPPED · contract:PASS · load:PASS · resolve:PASS CONTAINER_RUN · node-typescript@1 |
2026-08-20 |
| node 22 · linux debian/x64 · docker ed25519:c1973797be207ac4 | FAIL | compile:SKIPPED · contract:FAIL · load:SKIPPED · resolve:PASS CONTAINER_RUN · node-typescript@1node:22@sha256:8a34c4ab3ea2… |
2026-09-07 |
케이스
HOW- 목표
- verify pkg:npm/lru-cache@10.4.3
- 패키지
- 생성일
- 2026-08-20T07:18:17Z
컨트랙트
- LRUCache get, set, and has operations store values, evict LRU entries upon reaching max capacity, and maintain recency order
- LRUCache sizeCalculation and maxSize track item weights, enforce size limits, and evict entries when total size exceeds maxSize
- LRUCache ttl configuration with updateAgeOnGet and purgeStale manages time-based entry expiration and stale item cleanup
- LRUCache dispose and disposeAfter callbacks execute with proper dispose reasons on eviction, deletion, and overwrites
- LRUCache fetchMethod and memoMethod resolve missing entries, support asynchronous fetching, and coalesce concurrent lookups
- LRUCache dump and load serialize and restore cache entries with metadata across instances
파일
- PROMPT.md
- csx.json
- package-lock.json
- package.json
- spec.json
- src/index.mjs
- test/contract.mjs
소스
Clean-room public code sample — generation instructions
Write a brand-new, minimal, self-contained code sample in this clean-room directory.
Do not copy, paraphrase, or reference any existing project source. Work only from this spec.
A csx.json manifest scaffold already exists. Do not recreate it from memory. Preserve its case.goal, packages and symbols; fill its empty case.contract with exact assertions and correct its environment, commands and verifierAdapter for the files you generate.
Goal: verify pkg:npm/lru-cache@10.4.3
Kind: HOW
Use EXACTLY these public packages and versions:
- pkg:npm/lru-cache@10.4.3
Rules:
- One focused purpose; the smallest project that proves the goal.
- Include a contract test (test/contract.*) that runs OFFLINE and exits 0 exactly when the goal behavior works.
- Pin every dependency with a lockfile so resolution is reproducible.
- No secrets, credentials, or tokens. No real URLs (only example.com or localhost). No absolute paths.
- No personal names, emails, company names, or project identifiers of any kind.
- No binaries and no generated output (node_modules, dist, target, venv, .git, .env).
- Keep it under 200 files and 256KB packed.
{"case":{"caseId":"case:sha256:a88d862928bd0af69b1a37b0552ecf66a83ae19c8b897b7065548eaeb9818ce3","contract":["LRUCache get, set, and has operations store values, evict LRU entries upon reaching max capacity, and maintain recency order","LRUCache sizeCalculation and maxSize track item weights, enforce size limits, and evict entries when total size exceeds maxSize","LRUCache ttl configuration with updateAgeOnGet and purgeStale manages time-based entry expiration and stale item cleanup","LRUCache dispose and disposeAfter callbacks execute with proper dispose reasons on eviction, deletion, and overwrites","LRUCache fetchMethod and memoMethod resolve missing entries, support asynchronous fetching, and coalesce concurrent lookups","LRUCache dump and load serialize and restore cache entries with metadata across instances"],"goal":"verify pkg:npm/lru-cache@10.4.3","kind":"HOW","packages":["pkg:npm/lru-cache@10.4.3"],"schemaVersion":1},"contractCommand":["node","test/contract.mjs"],"environment":{"arch":"x64","distro":"ubuntu","ecosystem":"npm","libc":"glibc","libcVersion":"2.39","os":"linux","osVersionBucket":"24","packageManager":"npm","schemaVersion":1},"license":"MIT-0","packages":["pkg:npm/lru-cache@10.4.3"],"schemaVersion":1,"verifierAdapter":"node-typescript@1"}
{
"name": "lru-cache-sample",
"version": "1.0.0",
"lockfileVersion": 3,
"requires": true,
"packages": {
"": {
"name": "lru-cache-sample",
"version": "1.0.0",
"dependencies": {
"lru-cache": "10.4.3"
}
},
"node_modules/lru-cache": {
"version": "10.4.3",
"resolved": "https://registry.npmjs.org/lru-cache/-/lru-cache-10.4.3.tgz",
"integrity": "sha512-JNAzZcXrCt42VGLuYz0zfAzDfAvJWW6AfYlDBQyDV5DClI2m5sAmK+OIO7s59XfsRsWHp02jAJrRadPRGTt6SQ==",
"license": "ISC"
}
}
}
{
"name": "lru-cache-sample",
"version": "1.0.0",
"type": "module",
"dependencies": {
"lru-cache": "10.4.3"
}
}
{
"schemaVersion": 1,
"goal": "verify pkg:npm/lru-cache@10.4.3",
"kind": "HOW",
"packages": [
"pkg:npm/lru-cache@10.4.3"
]
}
import { LRUCache } from 'lru-cache';
/**
* Creates a standard capacity-bounded LRUCache instance.
*
* @template {object} K
* @template {object} V
* @param {import('lru-cache').LRUCache.Options<K, V, unknown>} options
* @returns {LRUCache<K, V>}
*/
export function createCache(options) {
return new LRUCache(options);
}
/**
* Creates a size-bounded LRUCache instance with custom size calculation.
*
* @template {object} K
* @template {object} V
* @param {number} maxSize
* @param {(value: V, key: K) => number} sizeCalculation
* @param {Omit<import('lru-cache').LRUCache.OptionsBase<K, V, unknown>, 'maxSize' | 'sizeCalculation'>} [options]
* @returns {LRUCache<K, V>}
*/
export function createSizedCache(maxSize, sizeCalculation, options = {}) {
return new LRUCache({
...options,
maxSize,
sizeCalculation,
});
}
/**
* Creates a time-expiring LRUCache instance.
*
* @template {object} K
* @template {object} V
* @param {number} ttl
* @param {Omit<import('lru-cache').LRUCache.OptionsBase<K, V, unknown>, 'ttl'>} [options]
* @returns {LRUCache<K, V>}
*/
export function createTTLCache(ttl, options = {}) {
return new LRUCache({
max: 100,
...options,
ttl,
});
}
/**
* Creates an LRUCache with an asynchronous fetcher function.
*
* @template {object} K
* @template {object} V
* @template [FC=unknown]
* @param {import('lru-cache').LRUCache.Fetcher<K, V, FC>} fetchMethod
* @param {Omit<import('lru-cache').LRUCache.OptionsBase<K, V, FC>, 'fetchMethod'>} [options]
* @returns {LRUCache<K, V, FC>}
*/
export function createFetchCache(fetchMethod, options = {}) {
return new LRUCache({
max: 100,
...options,
fetchMethod,
});
}
/**
* Creates an LRUCache with a synchronous memoizer function.
*
* @template {object} K
* @template {object} V
* @template [FC=unknown]
* @param {import('lru-cache').LRUCache.Memoizer<K, V, FC>} memoMethod
* @param {Omit<import('lru-cache').LRUCache.OptionsBase<K, V, FC>, 'memoMethod'>} [options]
* @returns {LRUCache<K, V, FC>}
*/
export function createMemoCache(memoMethod, options = {}) {
return new LRUCache({
max: 100,
...options,
memoMethod,
});
}
/**
* Dumps entries from a cache into a serializable array of tuples.
*
* @template {object} K
* @template {object} V
* @param {LRUCache<K, V>} cache
* @returns {Array<[K, import('lru-cache').LRUCache.Entry<V>]>}
*/
export function serializeCache(cache) {
return cache.dump();
}
/**
* Restores dumped entries into a newly created LRUCache instance.
*
* @template {object} K
* @template {object} V
* @param {import('lru-cache').LRUCache.Options<K, V, unknown>} options
* @param {Array<[K, import('lru-cache').LRUCache.Entry<V>]>} entries
* @returns {LRUCache<K, V>}
*/
export function restoreCache(options, entries) {
const cache = new LRUCache(options);
cache.load(entries);
return cache;
}
export { LRUCache };
import assert from 'node:assert/strict';
import {
createCache,
createSizedCache,
createTTLCache,
createFetchCache,
createMemoCache,
serializeCache,
restoreCache,
} from '../src/index.mjs';
const delay = (ms) => new Promise((resolve) => setTimeout(resolve, ms));
async function main() {
// Contract 1: LRUCache get, set, and has operations store values, evict LRU entries upon reaching max capacity, and maintain recency order
{
const cache = createCache({ max: 3 });
cache.set('a', 1);
cache.set('b', 2);
cache.set('c', 3);
assert.strictEqual(cache.size, 3);
assert.strictEqual(cache.has('a'), true);
assert.strictEqual(cache.get('a'), 1);
// Accessing 'a' makes 'b' the oldest (least recently used) entry
cache.set('d', 4);
assert.strictEqual(cache.has('b'), false, 'Key b should be evicted as least recently used');
assert.strictEqual(cache.get('a'), 1);
assert.strictEqual(cache.get('c'), 3);
assert.strictEqual(cache.get('d'), 4);
// peek reads without updating recency order
cache.peek('c');
cache.set('e', 5);
assert.strictEqual(cache.has('a'), false, 'Key a should be evicted next');
// pop removes and returns the LRU item
const popped = cache.pop();
assert.strictEqual(popped, 3, 'Key c should be popped');
assert.strictEqual(cache.has('c'), false);
}
// Contract 2: LRUCache sizeCalculation and maxSize track item weights, enforce size limits, and evict entries when total size exceeds maxSize
{
const cache = createSizedCache(100, (value) => value.length);
cache.set('item1', 'short'); // size 5
cache.set('item2', 'x'.repeat(40)); // size 40
cache.set('item3', 'y'.repeat(50)); // size 50
assert.strictEqual(cache.calculatedSize, 95);
// Adding item4 (size 15) brings calculatedSize over 100, triggering eviction of item1 and item2
cache.set('item4', 'z'.repeat(15));
assert.strictEqual(cache.has('item1'), false);
assert.strictEqual(cache.has('item2'), false);
assert.strictEqual(cache.has('item3'), true);
assert.strictEqual(cache.has('item4'), true);
assert.strictEqual(cache.calculatedSize, 65);
// Entry exceeding maxEntrySize (defaults to maxSize: 100) is ignored
const oversized = 'w'.repeat(150);
cache.set('tooLarge', oversized);
assert.strictEqual(cache.has('tooLarge'), false);
assert.strictEqual(cache.calculatedSize, 65);
}
// Contract 3: LRUCache ttl configuration with updateAgeOnGet and purgeStale manages time-based entry expiration and stale item cleanup
{
const cache = createTTLCache(50, {
updateAgeOnGet: true,
allowStale: false,
});
cache.set('temp1', 'val1');
cache.set('temp2', 'val2');
await delay(30);
// Accessing temp1 resets its age
assert.strictEqual(cache.get('temp1'), 'val1');
await delay(30);
// temp2 has exceeded 50ms TTL, temp1 is refreshed
assert.strictEqual(cache.has('temp2'), false, 'temp2 should expire after 60ms');
assert.strictEqual(cache.get('temp2'), undefined);
assert.strictEqual(cache.get('temp1'), 'val1', 'temp1 remains accessible due to updateAgeOnGet');
// purgeStale explicitly removes all expired entries
cache.set('temp3', 'val3', { ttl: 20 });
await delay(30);
assert.strictEqual(cache.size, 2);
const purged = cache.purgeStale();
assert.strictEqual(purged, true);
assert.strictEqual(cache.size, 1);
assert.strictEqual(cache.has('temp3'), false);
}
// Contract 4: LRUCache dispose and disposeAfter callbacks execute with proper dispose reasons on eviction, deletion, and overwrites
{
const events = [];
const cache = createCache({
max: 2,
dispose: (value, key, reason) => {
events.push({ phase: 'dispose', key, value, reason });
},
disposeAfter: (value, key, reason) => {
events.push({ phase: 'disposeAfter', key, value, reason });
},
});
cache.set('k1', 'v1');
cache.set('k2', 'v2');
// Eviction on reaching capacity
cache.set('k3', 'v3');
assert.deepStrictEqual(events.slice(0, 2), [
{ phase: 'dispose', key: 'k1', value: 'v1', reason: 'evict' },
{ phase: 'disposeAfter', key: 'k1', value: 'v1', reason: 'evict' },
]);
// Overwriting existing key
cache.set('k3', 'v3-updated');
assert.deepStrictEqual(events.slice(2, 4), [
{ phase: 'dispose', key: 'k3', value: 'v3', reason: 'set' },
{ phase: 'disposeAfter', key: 'k3', value: 'v3', reason: 'set' },
]);
// Explicit deletion
cache.delete('k2');
assert.deepStrictEqual(events.slice(4, 6), [
{ phase: 'dispose', key: 'k2', value: 'v2', reason: 'delete' },
{ phase: 'disposeAfter', key: 'k2', value: 'v2', reason: 'delete' },
]);
}
// Contract 5: LRUCache fetchMethod and memoMethod resolve missing entries, support asynchronous fetching, and coalesce concurrent lookups
{
let fetchCount = 0;
const fetchCache = createFetchCache(async (key) => {
fetchCount++;
await delay(20);
return `fetched_${key}`;
});
// Concurrent fetches for the same key are coalesced
const [val1, val2] = await Promise.all([
fetchCache.fetch('res1'),
fetchCache.fetch('res1'),
]);
assert.strictEqual(val1, 'fetched_res1');
assert.strictEqual(val2, 'fetched_res1');
assert.strictEqual(fetchCount, 1, 'In-flight fetches should coalesce to single fetch call');
// Cached fetch returns immediately without re-invoking fetcher
const cachedVal = await fetchCache.fetch('res1');
assert.strictEqual(cachedVal, 'fetched_res1');
assert.strictEqual(fetchCount, 1);
// memoMethod computes and sets missing value synchronously
const memoCache = createMemoCache((key) => `memo_${key}`);
const m1 = memoCache.memo('itemA');
const m2 = memoCache.memo('itemA');
assert.strictEqual(m1, 'memo_itemA');
assert.strictEqual(m2, 'memo_itemA');
assert.strictEqual(memoCache.get('itemA'), 'memo_itemA');
}
// Contract 6: LRUCache dump and load serialize and restore cache entries with metadata across instances
{
const sourceCache = createCache({ max: 5 });
sourceCache.set('x', 10);
sourceCache.set('y', 20);
sourceCache.set('z', 30);
const serialized = serializeCache(sourceCache);
assert.ok(Array.isArray(serialized));
assert.strictEqual(serialized.length, 3);
const targetCache = restoreCache({ max: 5 }, serialized);
assert.strictEqual(targetCache.get('x'), 10);
assert.strictEqual(targetCache.get('y'), 20);
assert.strictEqual(targetCache.get('z'), 30);
const entryInfo = targetCache.info('x');
assert.ok(entryInfo);
assert.strictEqual(entryInfo.value, 10);
}
console.log('All pkg:npm/lru-cache@10.4.3 contracts passed successfully.');
}
main().catch((err) => {
console.error(err);
process.exit(1);
});
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