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android/guava/src/com/google/common/util/concurrent/InterruptibleTask.java
blocker = (Blocker) state; } spinCount++; if (spinCount > MAX_BUSY_WAIT_SPINS) { /* * If we have spun a lot, just park ourselves. This will save CPU while we wait for a slow * interrupting thread. In theory, interruptTask() should be very fast, but due to * InterruptibleChannel and JavaLangAccess.blockedOn(Thread, Interruptible), it isn't
Registered: Fri Sep 05 12:43:10 UTC 2025 - Last Modified: Thu Aug 07 16:05:33 UTC 2025 - 10K bytes - Viewed (0) -
docs/fr/docs/deployment/docker.md
``` </div> Vous disposez maintenant d'un serveur FastAPI optimisé dans un conteneur Docker. Configuré automatiquement pour votre serveur actuel (et le nombre de cœurs du CPU). ## Vérifier
Registered: Sun Sep 07 07:19:17 UTC 2025 - Last Modified: Sat Nov 09 16:39:20 UTC 2024 - 7.5K bytes - Viewed (0) -
docs/es/docs/async.md
Y como la mayor parte del tiempo de ejecución se dedica al trabajo real (en lugar de esperar), y el trabajo en una computadora lo realiza una <abbr title="Central Processing Unit">CPU</abbr>, llaman a estos problemas "CPU bound". --- Ejemplos comunes de operaciones limitadas por la CPU son cosas que requieren procesamiento matemático complejo. Por ejemplo: * **Procesamiento de audio** o **imágenes**.
Registered: Sun Sep 07 07:19:17 UTC 2025 - Last Modified: Sun Aug 31 09:56:21 UTC 2025 - 24.7K bytes - Viewed (0) -
schema/naming.go
} return formattedName } var ( // https://github.com/golang/lint/blob/master/lint.go#L770 commonInitialisms = []string{"API", "ASCII", "CPU", "CSS", "DNS", "EOF", "GUID", "HTML", "HTTP", "HTTPS", "ID", "IP", "JSON", "LHS", "QPS", "RAM", "RHS", "RPC", "SLA", "SMTP", "SSH", "TLS", "TTL", "UID", "UI", "UUID", "URI", "URL", "UTF8", "VM", "XML", "XSRF", "XSS"}
Registered: Sun Sep 07 09:35:13 UTC 2025 - Last Modified: Wed Jun 12 03:46:59 UTC 2024 - 5.3K bytes - Viewed (0) -
src/test/java/org/codelibs/fess/helper/UserAgentHelperTest.java
} public void test_getUserAgentType_safariWithoutChrome() { getMockRequest().addHeader("user-agent", "Mozilla/5.0 (iPhone; CPU iPhone OS 14_6 like Mac OS X) AppleWebKit/605.1.15 (KHTML, like Gecko) Version/14.1.1 Mobile/15E148 Safari/604.1"); assertEquals(UserAgentType.SAFARI, userAgentHelper.getUserAgentType()); }
Registered: Thu Sep 04 12:52:25 UTC 2025 - Last Modified: Thu Jul 10 13:41:04 UTC 2025 - 7.1K bytes - Viewed (0) -
docs/fr/docs/async.md
Et comme la plupart du temps d'exécution est pris par du "vrai" travail (et non de l'attente), et que le travail dans un ordinateur est fait par un <abbr title="Central Processing Unit">CPU</abbr>, ce sont des problèmes dits "CPU bound". --- Des exemples communs d'opérations "CPU bounds" sont les procédés qui requièrent des traitements mathématiques complexes. Par exemple : * Traitements d'**audio** et d'**images**.
Registered: Sun Sep 07 07:19:17 UTC 2025 - Last Modified: Sun Aug 31 09:56:21 UTC 2025 - 25.4K bytes - Viewed (0) -
docs/ko/docs/deployment/server-workers.md
각 프로세스의 **PID**를 확인할 수 있습니다. `27365`는 상위 프로세스(**프로세스 매니저**), 그리고 각각의 워커프로세스는 `27368`, `27369`, `27370`, 그리고 `27367`입니다. ## 배포 개념들 여기에서는 **유비콘 워커 프로세스**를 관리하는 **구니콘**(또는 유비콘)을 사용하여 애플리케이션을 **병렬화**하고, CPU **멀티 코어**의 장점을 활용하고, **더 많은 요청**을 처리할 수 있는 방법을 살펴보았습니다. 워커를 사용하는 것은 배포 개념 목록에서 주로 **복제본** 부분과 **재시작**에 약간 도움이 되지만 다른 배포 개념들도 다루어야 합니다: * **보안 - HTTPS** * **서버 시작과 동시에 실행하기** * ***재시작*** * 복제본 (실행 중인 프로세스의 숫자)
Registered: Sun Sep 07 07:19:17 UTC 2025 - Last Modified: Sat Nov 09 16:39:20 UTC 2024 - 10.2K bytes - Viewed (0) -
src/test/java/org/codelibs/fess/helper/SystemHelperTest.java
assertTrue(result || !result); // Can be either depending on CPU load } public void test_calibrateCpuLoad_zeroTimeout() { final boolean result = systemHelper.calibrateCpuLoad(0L); assertTrue(result); } public void test_getSystemCpuPercent() { final short cpuPercent = systemHelper.getSystemCpuPercent();
Registered: Thu Sep 04 12:52:25 UTC 2025 - Last Modified: Sat Jul 19 23:49:30 UTC 2025 - 28.9K bytes - Viewed (0) -
docs/en/docs/async.md
And as most of the execution time is taken by actual work (instead of waiting), and the work in a computer is done by a <abbr title="Central Processing Unit">CPU</abbr>, they call these problems "CPU bound". --- Common examples of CPU bound operations are things that require complex math processing. For example: * **Audio** or **image processing**.
Registered: Sun Sep 07 07:19:17 UTC 2025 - Last Modified: Sun Aug 31 09:56:21 UTC 2025 - 24K bytes - Viewed (0) -
docs/ru/docs/async.md
И поскольку большую часть времени выполнения занимает реальная работа (а не ожидание), а работу в компьютере делает <abbr title="Центральный процессор (CPU)">ЦП</abbr>, такие задачи называют <abbr title="CPU bound">ограниченными производительностью процессора</abbr>. --- Ограничение по процессору проявляется в операциях, где требуется выполнять сложные математические вычисления. Например:
Registered: Sun Sep 07 07:19:17 UTC 2025 - Last Modified: Sun Aug 31 09:56:21 UTC 2025 - 39.8K bytes - Viewed (0)