* Starting from version 1.7, this method is available only if you\n   * include `popper-utils.js` before `popper.js`.\n   *\n   * **DEPRECATION**: This way to access PopperUtils is deprecated\n   * and will be removed in v2! Use the PopperUtils module directly instead.\n   * Due to the high instability of the methods contained in Utils, we can't\n   * guarantee them to follow semver. Use them at your own risk!\n   * @static\n   * @private\n   * @type {Object}\n   * @deprecated since version 1.8\n...

## Modelos Anidados

Cada atributo de un modelo Pydantic tiene un tipo.

Pero ese tipo puede ser en sí mismo otro modelo Pydantic.

Así que, puedes declarar "objetos" JSON anidados profundamente con nombres de atributos específicos, tipos y validaciones.

Todo eso, de manera arbitraria.

### Definir un submodelo

Por ejemplo, podemos definir un modelo `Image`:

{"version":3,"sources":["jquery-3.7.1.js"],"names":["global","factory","module","exports","document","w","Error","window","this","noGlobal","arr","getProto","Object","getPrototypeOf","slice","flat","array","call","concat","apply","push","indexOf","class2type","toString","hasOwn","hasOwnProperty","fnToString","ObjectFunctionString","support","isFunction","obj","nodeType","item","isWindow","preservedScriptAttributes","type","src","nonce","noModule","DOMEval","code","node","doc","i","val","script","createElem...

# Body – Verschachtelte Modelle

Mit **FastAPI** können Sie (dank Pydantic) beliebig tief verschachtelte Modelle definieren, validieren und dokumentieren.

## Listen als Felder

Sie können ein Attribut als Kindtyp definieren, zum Beispiel eine Python-`list`e.

{* ../../docs_src/body_nested_models/tutorial001_py310.py hl[12] *}

Das bewirkt, dass `tags` eine Liste ist, wenngleich es nichts über den Typ der Elemente der Liste aussagt.

- Update snapshotter module to v6 and client module to v5. Documentation for this alpha feature is pending. ([#670],(https://github.com/kubernetes-csi/external-snapshotter/pull/670), [@RaunakShah](https://github.com/RaunakShah))

### Uncategorized

Et nous analysons directement ce contenu YAML, puis nous utilisons à nouveau le même modèle Pydantic pour valider le contenu YAML :

{* ../../docs_src/path_operation_advanced_configuration/tutorial007.py hl[26:33] *}

/// tip | Astuce

Ici, nous réutilisons le même modèle Pydantic.

Mais nous aurions pu tout aussi bien pu le valider d'une autre manière.

- 1 mod m. // // The length of x must be the same as the modulus. func (x *Nat) SubOne(m *Modulus) *Nat { one := NewNat().ExpandFor(m) one.limbs[0] = 1 // Sub asks for x to be reduced modulo m, while SubOne doesn't, but when // y = 1, it works, and this is an internal use. return x.Sub(one, m) } // Add computes x = x + y mod m. // // The length of both operands must be the same as the modulus. Both operands // must already be reduced modulo m. // //go:norace func (x *Nat) Add(y *Nat, m *Modulus) *Nat...

* Dentro dele, o arquivo `app/main.py` está localizado em um pacote Python (diretório com  `__init__.py`). Portanto, ele é um "módulo" desse pacote: `app.main`.
* Existem também um arquivo `app/dependencies.py`, assim como o `app/main.py`, ele é um "módulo": `app.dependencies`.

* Contiene un archivo `app/main.py`. Como está dentro de un paquete de Python (un directorio con un archivo `__init__.py`), es un "módulo" de ese paquete: `app.main`.
* También hay un archivo `app/dependencies.py`, al igual que `app/main.py`, es un "módulo": `app.dependencies`.

	Active    bool
}

type Account struct {
	gorm.Model
	UserID sql.NullInt64
	Number string
}

type Pet struct {
	gorm.Model
	UserID *uint
	Name   string
	Toy    Toy `gorm:"polymorphic:Owner;"`
}

type Toy struct {
	gorm.Model
	Name      string
	OwnerID   string
	OwnerType string
}

type Tools struct {
	gorm.Model
	Name     string
	CustomID string
	Type     string
}