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docs/pt/docs/fastapi-cli.md
O FastAPI CLI recebe o caminho para o seu programa Python (por exemplo, `main.py`), detecta automaticamente a instância de `FastAPI` (comumente nomeada `app`), determina a forma correta de importação e então a serve. Para produção, você usaria `fastapi run`. 🚀
Registered: Sun Dec 28 07:19:09 UTC 2025 - Last Modified: Wed Nov 12 16:23:57 UTC 2025 - 5.1K bytes - Viewed (0) -
okhttp-tls/README.md
.build(); HeldCertificate serverCertificate = new HeldCertificate.Builder() .addSubjectAlternativeName("localhost") .signedBy(intermediateCertificate) .build(); ``` To serve this configuration the server needs to provide its clients with a chain of certificates starting with its own and including everything up-to but not including the root. We don't need to
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docs/de/docs/how-to/custom-docs-ui-assets.md
``` . ├── app │ ├── __init__.py │ ├── main.py └── static ├── redoc.standalone.js ├── swagger-ui-bundle.js └── swagger-ui.css ``` ### Die statischen Dateien bereitstellen { #serve-the-static-files } * Importieren Sie `StaticFiles`. * „Mounten“ Sie eine `StaticFiles()`-Instanz in einem bestimmten Pfad. {* ../../docs_src/custom_docs_ui/tutorial002_py39.py hl[7,11] *}Registered: Sun Dec 28 07:19:09 UTC 2025 - Last Modified: Wed Dec 17 20:41:43 UTC 2025 - 9.5K bytes - Viewed (0) -
docs/en/docs/deployment/server-workers.md
## Deployment Concepts { #deployment-concepts } Here you saw how to use multiple **workers** to **parallelize** the execution of the application, take advantage of **multiple cores** in the CPU, and be able to serve **more requests**. From the list of deployment concepts from above, using workers would mainly help with the **replication** part, and a little bit with the **restarts**, but you still need to take care of the others:Registered: Sun Dec 28 07:19:09 UTC 2025 - Last Modified: Sun Aug 31 09:15:41 UTC 2025 - 8.3K bytes - Viewed (0) -
docs/ru/docs/how-to/custom-docs-ui-assets.md
``` . ├── app │ ├── __init__.py │ ├── main.py └── static ├── redoc.standalone.js ├── swagger-ui-bundle.js └── swagger-ui.css ``` ### Предоставьте доступ к статическим файлам { #serve-the-static-files } * Импортируйте `StaticFiles`. * Смонтируйте экземпляр `StaticFiles()` в определённый путь. {* ../../docs_src/custom_docs_ui/tutorial002_py39.py hl[7,11] *}Registered: Sun Dec 28 07:19:09 UTC 2025 - Last Modified: Wed Dec 17 20:41:43 UTC 2025 - 12.8K bytes - Viewed (0) -
docs/lambda/README.md
# Object Lambda
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android/guava-tests/test/com/google/common/reflect/TypesTest.java
* make a ton of sense to have a separate tests for each. But having tests for each doesn't * really hurt anything, and maybe it will serve a purpose in a future in which Java has a * built-in nullness feature? */ "ExtendsObject", }) <T extends Object> void withObjectBound(List<T> list) {} @SuppressWarnings("unused")
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kotlin-js-store/yarn.lock
integrity sha512-zLHQdI/Qs1UyT5UBdWNqsARasIA+AaF8t+4u2aS2nEpBQh2mWIVb8qAklq0eUENnC5mOItrIB4LiS9xMtph18A== "@webpack-cli/serve@^2.0.3": version "2.0.5" resolved "https://registry.yarnpkg.com/@webpack-cli/serve/-/serve-2.0.5.tgz#325db42395cd49fe6c14057f9a900e427df8810e" integrity sha512-lqaoKnRYBdo1UgDX8uF24AfGMifWK19TxPmM5FHc2vAGxrJ/qtyUyFBWoY1tISZdelsQ5fBcOusifo5o5wSJxQ==
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guava/src/com/google/common/collect/Comparators.java
* {@code lexicographical(Collections.reverseOrder(comparator))} (consider how each would order * {@code [1]} and {@code [1, 1]}). */ // Note: 90% of the time we don't add type parameters or wildcards that serve only to "tweak" the // desired return type. However, *nested* generics introduce a special class of problems that we // think tip it over into being worthwhile.Registered: Fri Dec 26 12:43:10 UTC 2025 - Last Modified: Mon Mar 17 20:26:29 UTC 2025 - 10.9K bytes - Viewed (0) -
SECURITY.md
scenario would require a malicious user to be able to control the model which as stated above is already equivalent to code execution. In any case, the recommendation is not to serve models using Eager mode since it also has performance limitations. ## Multi-Tenant environments It is possible to run multiple TensorFlow models in parallel. For example,
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