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docs/es/docs/index.md
### Resumen En resumen, declaras los tipos de parámetros, body, etc. **una vez** como parámetros de la función. Lo haces con tipos modernos estándar de Python. No tienes que aprender una sintaxis nueva, los métodos o clases de una library específica, etc. Solo **Python** estándar. Por ejemplo, para un `int`: ```Python item_id: int ``` o para un modelo más complejo de `Item`: ```Python item: Item
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docs/en/docs/release-notes.md
* `alias_priority` * `validation_alias` * `serialization_alias` * `discriminator` * `strict` * `multiple_of` * `allow_inf_nan` * `max_digits` * `decimal_places` * `json_schema_extra` ...you can read about them in the Pydantic docs. * The parameter `regex` has been deprecated and replaced by `pattern`.
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docs/en/docs/tutorial/extra-models.md
## Multiple models Here's a general idea of how the models could look like with their password fields and the places where they are used: === "Python 3.10+" ```Python hl_lines="7 9 14 20 22 27-28 31-33 38-39" {!> ../../../docs_src/extra_models/tutorial001_py310.py!} ``` === "Python 3.8+"
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docs/en/docs/tutorial/dependencies/index.md
```Python commons: Annotated[dict, Depends(common_parameters)] ``` But because we are using `Annotated`, we can store that `Annotated` value in a variable and use it in multiple places: === "Python 3.10+" ```Python hl_lines="12 16 21" {!> ../../../docs_src/dependencies/tutorial001_02_an_py310.py!} ``` === "Python 3.9+" ```Python hl_lines="14 18 23"
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docs/de/docs/advanced/settings.md
Hier definieren wir die Konfiguration `env_file` innerhalb Ihrer Pydantic-`Settings`-Klasse und setzen den Wert auf den Dateinamen mit der dotenv-Datei, die wir verwenden möchten. ### Die `Settings` nur einmal laden mittels `lru_cache`
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docs/en/docs/tutorial/query-params-str-validations.md
The **default** value of the **function parameter** is the **actual default** value, that's more intuitive with Python in general. 😌
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docs/de/docs/tutorial/query-params.md
* Datenvalidierung * Automatische Dokumentation ## Defaultwerte Da Query-Parameter nicht ein festgelegter Teil des Pfades sind, können sie optional sein und Defaultwerte haben. Im obigen Beispiel haben sie die Defaultwerte `skip=0` und `limit=10`. Wenn Sie also zur URL: ``` http://127.0.0.1:8000/items/ ```
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docs/en/docs/advanced/security/oauth2-scopes.md
In this case, it requires the scope `me` (it could require more than one scope). !!! note You don't necessarily need to add different scopes in different places. We are doing it here to demonstrate how **FastAPI** handles scopes declared at different levels. === "Python 3.10+" ```Python hl_lines="4 139 170"
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docs/es/docs/features.md
* Porque las estructuras de datos de Pydantic son solo <abbr title='En español: ejemplares. Aunque a veces los llaman incorrectamente "instancias"'>instances</abbr> de clases que tu defines, el auto-completado, el linting, mypy y tu intuición deberían funcionar bien con tus datos validados. * Valida **estructuras complejas**:
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docs/de/docs/tutorial/dependencies/dependencies-with-yield.md
## Kontextmanager ### Was sind „Kontextmanager“ „Kontextmanager“ (Englisch „Context Manager“) sind bestimmte Python-Objekte, die Sie in einer `with`-Anweisung verwenden können.
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