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istioctl/pkg/writer/ztunnel/configdump/testdata/dump.json
"serviceAccount": "httpbin", "workloadName": "httpbin", "workloadType": "deployment", "canonicalName": "httpbin", "canonicalRevision": "v1", "node": "ambient-worker", "status": "Healthy", "clusterId": "Kubernetes" }, "/10.244.2.8": { "workloadIps": [ "10.244.2.8" ], "protocol": "TCP",
Json - Registered: Wed May 01 22:53:12 GMT 2024 - Last Modified: Tue Apr 16 03:28:36 GMT 2024 - 33.1K bytes - Viewed (0) -
.github/workflows/mint/nginx-4-node.conf
user nginx; worker_processes auto; error_log /var/log/nginx/error.log warn; pid /var/run/nginx.pid; events { worker_connections 4096; } http { include /etc/nginx/mime.types; default_type application/octet-stream; log_format main '$remote_addr - $remote_user [$time_local] "$request" ' '$status $body_bytes_sent "$http_referer" '
Plain Text - Registered: Sun Apr 28 19:28:10 GMT 2024 - Last Modified: Fri Mar 31 21:38:10 GMT 2023 - 3K bytes - Viewed (0) -
docs/tr/docs/project-generation.md
### Full Stack FastAPI PostgreSQL - Özellikler * Full **Docker** entegrasyonu (Docker based). * Docker Swarm Mode ile deployment. * **Docker Compose** entegrasyonu ve lokal geliştirme için optimizasyon. * Uvicorn ve Gunicorn ile **Production ready** Python web server'ı.
Plain Text - Registered: Sun May 05 07:19:11 GMT 2024 - Last Modified: Mon Jan 22 19:55:41 GMT 2024 - 6K bytes - Viewed (0) -
tensorflow/c/eager/immediate_execution_distributed_manager.h
int64_t init_timeout_in_ms, int retries, bool clear_existing_contexts = false) = 0; // Initializes context for the local worker and no contexts will be created // for remote workers. Currently this only works for resetting context. // TODO(b/289445025): Consider removing this when we find a proper fix. virtual Status InitializeLocalOnlyContext(const ServerDef& server_def,
C - Registered: Tue Apr 30 12:39:09 GMT 2024 - Last Modified: Wed Feb 21 22:37:46 GMT 2024 - 2.9K bytes - Viewed (0) -
build-logic/documentation/src/main/groovy/gradlebuild/docs/Docbook2Xhtml.groovy
} def stylesheetFile = new File(getTemporaryDir(), "dslHtml.xsl") def xslthlConfigFile = getStylesheetHighlightFile().get().asFile.toURI() // TODO: Implement this with the worker API workerLeaseService.runAsIsolatedTask({ source.visit { FileVisitDetails fvd -> if (fvd.isDirectory()) { return }
Groovy - Registered: Wed May 01 11:36:15 GMT 2024 - Last Modified: Thu Oct 05 19:36:14 GMT 2023 - 4.7K bytes - Viewed (0) -
docs/ru/docs/deployment/manually.md
```console $ pip install "hypercorn[trio]" ---> 100% ``` </div> ### Запуск с Trio Далее запустите Hypercorn с опцией `--worker-class` и аргументом `trio`: <div class="termy"> ```console $ hypercorn main:app --worker-class trio ``` </div> Hypercorn, в свою очередь, запустит ваше приложение использующее Trio.
Plain Text - Registered: Sun May 05 07:19:11 GMT 2024 - Last Modified: Wed Apr 03 16:22:47 GMT 2024 - 7.8K bytes - Viewed (0) -
docs/zh/docs/project-generation.md
* **安全密码**,默认使用密码哈希 * **JWT 令牌**身份验证 * **SQLAlchemy** 模型(独立于 Flask 扩展,可直接用于 Celery Worker) * 基础的用户模型(可按需修改或删除) * **Alembic** 迁移 * **CORS**(跨域资源共享) * **Celery** Worker 可从后端其它部分有选择地导入并使用模型和代码 * REST 后端测试基于 Pytest,并与 Docker 集成,可独立于数据库实现完整的 API 交互测试。因为是在 Docker 中运行,每次都可从头构建新的数据存储(使用 ElasticSearch、MongoDB、CouchDB 等数据库,仅测试 API 运行) * Python 与 **Jupyter Kernels** 集成,用于远程或 Docker 容器内部开发,使用 Atom Hydrogen 或 Visual Studio Code 的 Jupyter 插件 * **Vue** 前端:
Plain Text - Registered: Sun May 05 07:19:11 GMT 2024 - Last Modified: Sun Jan 28 18:03:58 GMT 2024 - 5.1K bytes - Viewed (0) -
docs/zh/docs/deployment/manually.md
<div class="termy"> ```console $ pip install "hypercorn[trio]" ---> 100% ``` </div> ### Run with Trio 然后你可以传递值`trio`给命令行选项`--worker-class`: <div class="termy"> ```console $ hypercorn main:app --worker-class trio ``` </div> 这将通过您的应用程序启动 Hypercorn,并使用 Trio 作为后端。 现在您可以在应用程序内部使用 Trio。 或者更好的是,您可以使用 AnyIO,使您的代码与 Trio 和 asyncio 兼容。 🎉 ## 部署概念
Plain Text - Registered: Sun May 05 07:19:11 GMT 2024 - Last Modified: Tue Jan 09 15:39:41 GMT 2024 - 4.6K bytes - Viewed (0) -
docs/de/docs/deployment/manually.md
```console $ pip install "hypercorn[trio]" ---> 100% ``` </div> ### Mit Trio ausführen Dann können Sie die Befehlszeilenoption `--worker-class` mit dem Wert `trio` übergeben: <div class="termy"> ```console $ hypercorn main:app --worker-class trio ``` </div> Und das startet Hypercorn mit Ihrer Anwendung und verwendet Trio als Backend.
Plain Text - Registered: Sun May 05 07:19:11 GMT 2024 - Last Modified: Sat Mar 30 20:16:35 GMT 2024 - 5.4K bytes - Viewed (0) -
docs/fr/docs/deployment/manually.md
```console $ pip install "hypercorn[trio]" ---> 100% ``` </div> ### Exécuter avec Trio Ensuite, vous pouvez passer l'option de ligne de commande `--worker-class` avec la valeur `trio` : <div class="termy"> ```console $ hypercorn main:app --worker-class trio ``` </div> Et cela démarrera Hypercorn avec votre application en utilisant Trio comme backend.
Plain Text - Registered: Sun May 05 07:19:11 GMT 2024 - Last Modified: Sat Mar 04 12:02:09 GMT 2023 - 5.4K bytes - Viewed (0)