[
MAINHACK
]
Mail Test
BC
Config Scan
HOME
Create...
New File
New Folder
Viewing / Editing File: PartitionedSemaphore.ts
/** * @since 3.19.4 * @experimental */ import * as Effect from "./Effect.js" import * as Iterable from "./Iterable.js" import * as MutableHashMap from "./MutableHashMap.js" import * as Option from "./Option.js" /** * @since 3.19.4 * @category Models * @experimental */ export const TypeId: TypeId = "~effect/PartitionedSemaphore" /** * @since 3.19.4 * @category Models * @experimental */ export type TypeId = "~effect/PartitionedSemaphore" /** * A `PartitionedSemaphore` is a concurrency primitive that can be used to * control concurrent access to a resource across multiple partitions identified * by keys. * * The total number of permits is shared across all partitions, with waiting * permits equally distributed among partitions using a round-robin strategy. * * This is useful when you want to limit the total number of concurrent accesses * to a resource, while still allowing for fair distribution of access across * different partitions. * * @since 3.19.4 * @category Models * @experimental */ export interface PartitionedSemaphore<in K> { readonly [TypeId]: TypeId readonly withPermits: ( key: K, permits: number ) => <A, E, R>(effect: Effect.Effect<A, E, R>) => Effect.Effect<A, E, R> } /** * A `PartitionedSemaphore` is a concurrency primitive that can be used to * control concurrent access to a resource across multiple partitions identified * by keys. * * The total number of permits is shared across all partitions, with waiting * permits equally distributed among partitions using a round-robin strategy. * * This is useful when you want to limit the total number of concurrent accesses * to a resource, while still allowing for fair distribution of access across * different partitions. * * @since 3.19.4 * @category Constructors * @experimental */ export const makeUnsafe = <K = unknown>(options: { readonly permits: number }): PartitionedSemaphore<K> => { const maxPermits = Math.max(0, options.permits) if (!Number.isFinite(maxPermits)) { return { [TypeId]: TypeId, withPermits: () => (effect) => effect } } let totalPermits = maxPermits let waitingPermits = 0 type Waiter = { permits: number readonly resume: () => void } const partitions = MutableHashMap.empty<K, Set<Waiter>>() const take = (key: K, permits: number) => Effect.async<void>((resume) => { if (maxPermits < permits) { return resume(Effect.never) } else if (totalPermits >= permits) { totalPermits -= permits return resume(Effect.void) } const needed = permits - totalPermits const taken = permits - needed if (totalPermits > 0) { totalPermits = 0 } waitingPermits += needed const waiters = Option.getOrElse( MutableHashMap.get(partitions, key), () => { const set = new Set<Waiter>() MutableHashMap.set(partitions, key, set) return set } ) const entry: Waiter = { permits: needed, resume() { cleanup() resume(Effect.void) } } function cleanup() { waiters.delete(entry) if (waiters.size === 0) { MutableHashMap.remove(partitions, key) } } waiters.add(entry) return Effect.sync(() => { cleanup() waitingPermits -= entry.permits if (taken > 0) { releaseUnsafe(taken) } }) }) let iterator = partitions[Symbol.iterator]() const releaseUnsafe = (permits: number) => { while (permits > 0) { if (waitingPermits === 0) { totalPermits += permits return } let state = iterator.next() if (state.done) { iterator = partitions[Symbol.iterator]() state = iterator.next() if (state.done) return } const entry = Iterable.unsafeHead(state.value[1]) entry.permits-- waitingPermits-- if (entry.permits === 0) entry.resume() permits-- } } return { [TypeId]: TypeId, withPermits: (key, permits) => { const takePermits = take(key, permits) const release: <A, E, R>(effect: Effect.Effect<A, E, R>) => Effect.Effect<A, E, R> = Effect.matchCauseEffect({ onFailure(cause) { releaseUnsafe(permits) return Effect.failCause(cause) }, onSuccess(value) { releaseUnsafe(permits) return Effect.succeed(value) } }) return (effect) => Effect.uninterruptibleMask((restore) => Effect.flatMap( restore(takePermits), () => release(restore(effect)) ) ) } } } /** * A `PartitionedSemaphore` is a concurrency primitive that can be used to * control concurrent access to a resource across multiple partitions identified * by keys. * * The total number of permits is shared across all partitions, with waiting * permits equally distributed among partitions using a round-robin strategy. * * This is useful when you want to limit the total number of concurrent accesses * to a resource, while still allowing for fair distribution of access across * different partitions. * * @since 3.19.4 * @category Constructors * @experimental */ export const make = <K = unknown>(options: { readonly permits: number }): Effect.Effect<PartitionedSemaphore<K>> => Effect.sync(() => makeUnsafe<K>(options))
Save Changes
Cancel / Back
Close ×
Server Info
Hostname: premium331.web-hosting.com
Server IP: 184.94.213.169
PHP Version: 8.1.34
Server Software: LiteSpeed
System: Linux premium331.web-hosting.com 4.18.0-553.80.1.lve.el8.x86_64 #1 SMP Wed Oct 22 19:29:36 UTC 2025 x86_64
HDD Total: 97.87 GB
HDD Free: 76.92 GB
Domains on IP: N/A (Requires external lookup)
System Features
Safe Mode:
Off
disable_functions:
None
allow_url_fopen:
On
allow_url_include:
Off
magic_quotes_gpc:
Off
register_globals:
Off
open_basedir:
None
cURL:
Enabled
ZipArchive:
Enabled
MySQLi:
Enabled
PDO:
Enabled
wget:
Yes
curl (cmd):
Yes
perl:
Yes
python:
Yes (py3)
gcc:
Yes
pkexec:
No
git:
Yes
User Info
Username: livedhms
User ID (UID): 1344
Group ID (GID): 1349
Script Owner UID: 1344
Current Dir Owner: 1344