////

//// tab | Python 3.10+ sin Anotar

/// tip | Consejo

Prefiere usar la versión `Annotated` si es posible.

///

```Python
{!> ../../docs_src/app_testing/app_b_py310/main.py!}
```

////

//// tab | Python 3.8+ sin Anotar

/// tip | Consejo

Prefiere usar la versión `Annotated` si es posible.

///

```Python
{!> ../../docs_src/app_testing/app_b/main.py!}
```

     */
    public StopwordsCreator() {
        super("stopwords.*\\.txt");
    }

    /**
     * Registers this creator with the dictionary manager upon initialization.
     * This method is annotated with {@link PostConstruct} to be executed after
     * dependency injection is complete.
     */
    @PostConstruct
    public void register() {
        if (logger.isInfoEnabled()) {

```Python hl_lines="1  5-7" title="app/dependencies.py"
{!> ../../docs_src/bigger_applications/app_an/dependencies.py!}
```

////

//// tab | Python 3.8+ non-Annotated

/// tip

Prefer to use the `Annotated` version if possible.

///

```Python hl_lines="1  4-6" title="app/dependencies.py"
{!> ../../docs_src/bigger_applications/app/dependencies.py!}
```

////

/// tip

import org.jspecify.annotations.Nullable;

/**
 * Tester of subtyping relationships between two types.
 *
 * <p>Tests should inherit from this class, and declare subtyping relationship with public methods
 * annotated by {@link TestSubtype}.
 *
 * <p>These declaration methods rely on Java static type checking to make sure what we want to
 * assert as subtypes are really subtypes according to javac. For example:
 *
 * {@snippet :

    return type.getSimpleName() + '@' + i;
  }

  /**
   * Annotates a method to be the instance generator of a certain type. The return type is the
   * generated type. The method parameters correspond to the generated type's type parameters. For
   * example, if the annotated method returns {@code Map<K, V>}, the method signature should be:
   * {@code Map<K, V> generateMap(K key, V value)}.
   */

    * و اعتبارسنج ها اجازه میدهند که طرحواره های داده پیچیده به طور واضح و آسان تعریف، بررسی و بر پایه JSON مستند شوند.
    * شما میتوانید ابجکت های عمیقا تودرتو JSON را که همگی تایید شده و annotated شده اند را داشته باشید.
* **قابل توسعه**:
    * Pydantic اجازه میدهد تا data type های سفارشی تعریف شوند یا میتوانید اعتبارسنجی را با روش هایی به روی مدل ها با <abbr title="دکوریتور های اعتبارسنج">validator decorator</abbr> گسترش دهید.

```Python hl_lines="1  5-7" title="app/dependencies.py"
{!> ../../docs_src/bigger_applications/app_an/dependencies.py!}
```

////

//// tab | Python 3.8+ non-Annotated

/// tip | Consejo

Preferiblemente usa la versión `Annotated` si es posible.

///

```Python hl_lines="1  4-6" title="app/dependencies.py"
{!> ../../docs_src/bigger_applications/app/dependencies.py!}
```

////

```Python hl_lines="1  5-7" title="app/dependencies.py"
{!> ../../docs_src/bigger_applications/app_an/dependencies.py!}
```

////

//// tab | Python 3.8+ non-Annotated

/// tip | Dica

Prefira usar a versão `Annotated` se possível.

///

```Python hl_lines="1  4-6" title="app/dependencies.py"
{!> ../../docs_src/bigger_applications/app/dependencies.py!}
```

////

And whenever you output that data, even if the source had duplicates, it will be output as a set of unique items.

And it will be annotated / documented accordingly too.

## Nested Models { #nested-models }

Each attribute of a Pydantic model has a type.

But that type can itself be another Pydantic model.

And tools will also be happy because both `RedirectResponse` and `JSONResponse` are subclasses of `Response`, so the type annotation is correct.

### Annotate a Response Subclass { #annotate-a-response-subclass }

You can also use a subclass of `Response` in the type annotation:

{* ../../docs_src/response_model/tutorial003_03.py hl[8:9] *}