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module.xml
<url url="${repo.url}/${module.groupId}/${module.name.prefix}${module.name}/${module.version}/${module.name.prefix}${module.name}-${module.zip.version}.zip" /> </get> <unzip dest="${modules.dir}/${module.name}" src="${target.dir}/${module.name.prefix}${module.name}-${module.zip.version}.zip"> <patternset> <include name="**" /> </patternset> <cutdirsmapper dirs="1" /> </unzip> </target> <target name="remove.jars" if="with.fess">Registered: Sat Dec 20 09:19:18 UTC 2025 - Last Modified: Thu Dec 18 09:50:31 UTC 2025 - 4K bytes - Viewed (0) -
docs/pt/docs/tutorial/response-model.md
Quando você vê a documentação automática, pode verificar se o modelo de entrada e o modelo de saída terão seus próprios esquemas JSON: <img src="/img/tutorial/response-model/image01.png"> E ambos os modelos serão usados para a documentação interativa da API: <img src="/img/tutorial/response-model/image02.png"> ## Outras anotações de tipo de retorno { #other-return-type-annotations }
Registered: Sun Dec 28 07:19:09 UTC 2025 - Last Modified: Wed Dec 17 20:41:43 UTC 2025 - 17.3K bytes - Viewed (0) -
docs/es/docs/tutorial/response-model.md
Cuando veas la documentación automática, puedes verificar que el modelo de entrada y el modelo de salida tendrán cada uno su propio JSON Schema: <img src="/img/tutorial/response-model/image01.png"> Y ambos modelos se utilizarán para la documentación interactiva de la API: <img src="/img/tutorial/response-model/image02.png"> ## Otras Anotaciones de Tipos de Retorno { #other-return-type-annotations }
Registered: Sun Dec 28 07:19:09 UTC 2025 - Last Modified: Wed Dec 17 20:41:43 UTC 2025 - 17.7K bytes - Viewed (0) -
docs/en/docs/tutorial/query-param-models.md
# Query Parameter Models { #query-parameter-models } If you have a group of **query parameters** that are related, you can create a **Pydantic model** to declare them. This would allow you to **re-use the model** in **multiple places** and also to declare validations and metadata for all the parameters at once. 😎 /// note This is supported since FastAPI version `0.115.0`. 🤓 ///Registered: Sun Dec 28 07:19:09 UTC 2025 - Last Modified: Sun Aug 31 09:15:41 UTC 2025 - 2.2K bytes - Viewed (0) -
docs/en/docs/tutorial/response-model.md
## See it in the docs { #see-it-in-the-docs } When you see the automatic docs, you can check that the input model and output model will both have their own JSON Schema: <img src="/img/tutorial/response-model/image01.png"> And both models will be used for the interactive API documentation: <img src="/img/tutorial/response-model/image02.png"> ## Other Return Type Annotations { #other-return-type-annotations }Registered: Sun Dec 28 07:19:09 UTC 2025 - Last Modified: Sat Dec 20 15:55:38 UTC 2025 - 15.5K bytes - Viewed (0) -
docs/de/docs/tutorial/request-form-models.md
$ pip install python-multipart ``` /// /// note | Hinweis Dies wird seit FastAPI Version `0.113.0` unterstützt. 🤓 /// ## Pydantic-Modelle für Formulare { #pydantic-models-for-forms } Sie müssen nur ein **Pydantic-Modell** mit den Feldern deklarieren, die Sie als **Formularfelder** erhalten möchten, und dann den Parameter als `Form` deklarieren: {* ../../docs_src/request_form_models/tutorial001_an_py39.py hl[9:11,15] *}Registered: Sun Dec 28 07:19:09 UTC 2025 - Last Modified: Sat Sep 20 15:10:09 UTC 2025 - 2.7K bytes - Viewed (0) -
okhttp-logging-interceptor/Module.md
# Module okhttp-logging-interceptor
Registered: Fri Dec 26 11:42:13 UTC 2025 - Last Modified: Tue Apr 02 11:27:49 UTC 2019 - 102 bytes - Viewed (0) -
docs/en/docs/tutorial/cookie-param-models.md
# Cookie Parameter Models { #cookie-parameter-models } If you have a group of **cookies** that are related, you can create a **Pydantic model** to declare them. 🍪 This would allow you to **re-use the model** in **multiple places** and also to declare validations and metadata for all the parameters at once. 😎 /// note This is supported since FastAPI version `0.115.0`. 🤓 /// /// tipRegistered: Sun Dec 28 07:19:09 UTC 2025 - Last Modified: Wed Dec 10 08:55:32 UTC 2025 - 3.1K bytes - Viewed (0) -
docs/pt/docs/tutorial/body-nested-models.md
## Modelos aninhados { #nested-models } Cada atributo de um modelo Pydantic tem um tipo. Mas esse tipo pode ser outro modelo Pydantic. Portanto, você pode declarar "objects" JSON profundamente aninhados com nomes, tipos e validações de atributos específicos. Tudo isso, aninhado arbitrariamente. ### Defina um sub-modelo { #define-a-submodel }Registered: Sun Dec 28 07:19:09 UTC 2025 - Last Modified: Wed Dec 17 20:41:43 UTC 2025 - 7.4K bytes - Viewed (0) -
docs/de/docs/tutorial/body-nested-models.md
Und es wird entsprechend annotiert/dokumentiert. ## Verschachtelte Modelle { #nested-models } Jedes Attribut eines Pydantic-Modells hat einen Typ. Aber dieser Typ kann selbst ein anderes Pydantic-Modell sein. Sie können also tief verschachtelte JSON-„Objekte“ deklarieren, mit spezifischen Attributnamen, -typen, und -validierungen.Registered: Sun Dec 28 07:19:09 UTC 2025 - Last Modified: Wed Dec 17 20:41:43 UTC 2025 - 7.6K bytes - Viewed (0)