Prefiere usar la versión `Annotated` si es posible.

///

```Python
commons: CommonQueryParams ...
```

////

...no tiene ningún significado especial para **FastAPI**. **FastAPI** no lo usará para la conversión de datos, validación, etc. (ya que está usando `Depends(CommonQueryParams)` para eso).

De hecho, podrías escribir simplemente:

//// tab | Python 3.9+

```Python

That means that **any value** read in Python from an environment variable **will be a `str`**, and any conversion to a different type or any validation has to be done in code.

Isso fornecerá suporte do editor dentro da sua função, com verificações de erros, preenchimento automático, etc.
///

## Dados <abbr title="também conhecido como: serialização, parsing, marshalling">conversão</abbr> { #data-conversion }

Se você executar este exemplo e abrir seu navegador em <a href="http://127.0.0.1:8000/items/3" class="external-link" target="_blank">http://127.0.0.1:8000/items/3</a>, você verá uma resposta:

```JSON

Prefer to use the `Annotated` version if possible.

///

```Python
commons: CommonQueryParams ...
```

////

...doesn't have any special meaning for **FastAPI**. FastAPI won't use it for data conversion, validation, etc. (as it is using the `Depends(CommonQueryParams)` for that).

You could actually write just:

//// tab | Python 3.9+

```Python
commons: Annotated[Any, Depends(CommonQueryParams)]
```

        return new UpgradeResult(processedPoms, modifiedPoms, errorPoms);
    }

    /**
     * Performs the core model upgrade from current version to target version.
     * This includes namespace updates and module conversion using domtrip.
     * Returns the upgraded document.
     */
    private Document performModelUpgrade(
            Document pomDocument, UpgradeContext context, String currentVersion, String targetModelVersion) {

We could do better.

We can declare a `UserBase` model that serves as a base for our other models. And then we can make subclasses of that model that inherit its attributes (type declarations, validation, etc).

All the data conversion, validation, documentation, etc. will still work as normally.

That way, we can declare just the differences between the models (with plaintext `password`, with `hashed_password` and without password):

      /*
       * For most values, the conversion from roundArbitrarily to roundArbitrarilyAsLong is
       * lossless. In that case we can compare x to roundArbitrarily using Long.compare(x,
       * roundArbitrarilyAsLong). The exception is for values where the conversion to double rounds
       * up to give roundArbitrarily equal to 2^63, so the conversion back to long overflows and

* <abbr title="también conocido como: serialización, parsing, marshalling">Conversión</abbr> de datos de entrada: de la red a los datos y tipos de Python. Leyendo desde:
    * JSON.
    * Parámetros de path.
    * Parámetros de query.
    * Cookies.
    * Headers.
    * Forms.
    * Archivos.

Esto significa que **cualquier valor** leído en Python desde una variable de entorno **será un `str`**, y cualquier conversión a un tipo diferente o cualquier validación tiene que hacerse en el código.

 *   <li><strong>Namespace Update</strong>: Changes namespace from Maven 4.0.0 to 4.1.0 for all elements</li>
 *   <li><strong>Schema Location Update</strong>: Updates xsi:schemaLocation to Maven 4.1.0 XSD</li>
 *   <li><strong>Module Conversion</strong>: Converts {@code <modules>} to {@code <subprojects>} and {@code <module>} to {@code <subproject>}</li>
 *   <li><strong>Model Version Update</strong>: Updates {@code <modelVersion>} to 4.1.0</li>
 * </ol>
 *