Pero cuando importas `Query`, `Path`, `Depends`, `Security` y otros de `fastapi`, en realidad son funciones que devuelven clases especiales.

///

## Usar `SecurityScopes` { #use-securityscopes }

Ahora actualiza la dependencia `get_current_user`.

Esta es la que usan las dependencias anteriores.

        BlockingQueue.class,
        BlockingDeque.class,
        PriorityBlockingQueue.class,
        DelayQueue.class,
        SynchronousQueue.class,
        ConcurrentMap.class,
        ConcurrentNavigableMap.class,
        AtomicReference.class,
        AtomicBoolean.class,
        AtomicInteger.class,
        AtomicLong.class,
        AtomicDouble.class);
  }

            throw new TransferFailedException("Authorization failed: " + e.getMessage(), e);
        } finally {
            // Remove remaining TransferListener instances (checksum handlers removed in above finally clause)
            if (downloadMonitor != null) {
                wagon.removeTransferListener(downloadMonitor);
            }

            disconnectWagon(wagon);

            releaseWagon(protocol, wagon);

In **SQLModel**, any model class that has `table=True` is a **table model**.

And any model class that doesn't have `table=True` is a **data model**, these ones are actually just Pydantic models (with a couple of small extra features). 🤓

With SQLModel, we can use **inheritance** to **avoid duplicating** all the fields in all the cases.

#### `HeroBase` - the base class { #herobase-the-base-class }

Você pode fazer isso usando o <a href="https://docs.pydantic.dev/latest/concepts/validators/#field-after-validator" class="external-link" target="_blank">`AfterValidator` do Pydantic</a> dentro de `Annotated`.

/// tip | Dica

O Pydantic também tem <a href="https://docs.pydantic.dev/latest/concepts/validators/#field-before-validator" class="external-link" target="_blank">`BeforeValidator`</a> e outros. 🤓

///

    * Der Cloud-Dienst wird wahrscheinlich **die Replikation für Sie übernehmen**. Er würde Sie möglicherweise **einen auszuführenden Prozess** oder ein **zu verwendendes Container-Image** definieren lassen, in jedem Fall wäre es höchstwahrscheinlich **ein einzelner Uvicorn-Prozess**, und der Cloud-Dienst wäre auch verantwortlich für die Replikation.

/// tip | Tipp

 * </ul>
 *
 * <h3>Building a {@code Network}</h3>
 *
 * <p>The implementation classes that {@code common.graph} provides are not public, by design. To
 * create an instance of one of the built-in implementations of {@code Network}, use the {@link
 * NetworkBuilder} class:
 *
 * {@snippet :
 * MutableNetwork<Integer, MyEdge> network = NetworkBuilder.directed().build();
 * }
 *

A classe `Hero` é muito semelhante a um modelo Pydantic (na verdade, por baixo dos panos, ela *é um modelo Pydantic*).

Existem algumas diferenças:

* `table=True` informa ao SQLModel que este é um *modelo de tabela*, ele deve representar uma **tabela** no banco de dados SQL, não é apenas um *modelo de dados* (como seria qualquer outra classe Pydantic comum).

import jakarta.annotation.Resource;

/**
 * The {@code HtmlTransformer} class is responsible for transforming HTML responses
 * during the crawling process. It extracts data, identifies child URLs, and handles
 * character set encoding.
 * <p>
 * This class extends {@link AbstractTransformer} and utilizes various helper classes
 * and components from the Fess Crawler framework, such as {@link CrawlerContainer},

* `tuple`
* `set`
* `dict`

Y generics desde el módulo `typing`:

* `Union`
* `Optional`
* ...y otros.

////

### Clases como tipos { #classes-as-types }

También puedes declarar una clase como el tipo de una variable.

Digamos que tienes una clase `Person`, con un nombre:

{* ../../docs_src/python_types/tutorial010_py39.py hl[1:3] *}