* Configurable etcd compaction frequency in GCE ([#59106](https://github.com/kubernetes/kubernetes/pull/59106), [@wojtek-t](https://github.com/wojtek-t))
* Prevent kubelet from getting wedged if initialization of modules returns an error. ([#59020](https://github.com/kubernetes/kubernetes/pull/59020), [@brendandburns](https://github.com/brendandburns))

  <parent>
    <groupId>inheritance</groupId>
    <artifactId>parent</artifactId>
    <version>11-SNAPSHOT</version>
  </parent>

  <artifactId>child-artifact-id</artifactId>
  <name>Model inheritance test parent: module directory != artifactId</name>
  <description>
    artifactId == "child-artifact-id"
    but expect path on SCM and site == "child"

    <version>11-SNAPSHOT</version>
  </parent>

  <groupId>inheritance</groupId>
  <artifactId>child-artifact-id</artifactId>
  <version>11-SNAPSHOT</version>
  <name>Model inheritance test parent: module directory != artifactId</name>
  <description>
    artifactId == "child-artifact-id"
    but expect path on SCM and site == "child"

            "input": "plumbus"
        }
    ]
}
```

## Resumo { #summary }

Você pode utilizar **modelos Pydantic** para declarar **parâmetros de consulta** no **FastAPI**. 😎

/// tip | Dica

Alerta de spoiler: você também pode utilizar modelos Pydantic para declarar cookies e cabeçalhos, mas você irá ler sobre isso mais a frente no tutorial. 🤫

- Updated kube-proxy ipvs README with correct grep argument to list loaded ipvs modules ([#83677](https://github.com/kubernetes/kubernetes/pull/83677), [@pete911](https://github.com/pete911))

# Extra Models { #extra-models }

Continuing with the previous example, it will be common to have more than one related model.

This is especially the case for user models, because:

* The **input model** needs to be able to have a password.
* The **output model** should not have a password.
* The **database model** would probably need to have a hashed password.

/// danger

      BiMap<K, V> synchronizedBiMap(BiMap<K, V> bimap) {
    return Synchronized.biMap(bimap, null);
  }

  /**
   * Returns an unmodifiable view of the specified bimap. This method allows modules to provide
   * users with "read-only" access to internal bimaps. Query operations on the returned bimap "read
   * through" to the specified bimap, and attempts to modify the returned map, whether direct or via

      BiMap<K, V> synchronizedBiMap(BiMap<K, V> bimap) {
    return Synchronized.biMap(bimap, null);
  }

  /**
   * Returns an unmodifiable view of the specified bimap. This method allows modules to provide
   * users with "read-only" access to internal bimaps. Query operations on the returned bimap "read
   * through" to the specified bimap, and attempts to modify the returned map, whether direct or via

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.

Ce qui améliore le support pour les modèles Pydantic avec :

* de l'auto-complétion
* des vérifications de type
* du "refactoring" (ou remaniement de code)
* de la recherche
* de l'inspection

///

## Utilisez le modèle

Dans la fonction, vous pouvez accéder à tous les attributs de l'objet du modèle directement :

{* ../../docs_src/body/tutorial002.py hl[21] *}