// sequent of operations:
	// 1) pipe.Write()
	// 2) pipe.Close()
	// Now pipe.Close() can return before the data is read on the other end of the pipe and written to the disk
	// Hence an immediate Read() on the file can return incorrect data.
	if b.canClose != nil {
		b.canClose.Wait()
	}

	// Recycle the buffer.
	if b.byteBuf != nil {
		globalBytePoolCap.Load().Put(b.byteBuf)
		b.byteBuf = nil

  /**
   * Closed addressing tends to perform well even with high load factors. Being conservative here
   * ensures that the table is still likely to be relatively sparse (hence it misses fast) while
   * saving space.
   */
  @VisibleForTesting static final double MAX_LOAD_FACTOR = 1.2;

  /**
   * Maximum allowed false positive probability of detecting a hash flooding attack given random

{* ../../docs_src/path_operation_advanced_configuration/tutorial005.py hl[6] *}

Wenn Sie die automatische API-Dokumentation öffnen, wird Ihre Erweiterung am Ende der spezifischen *Pfadoperation* angezeigt.

<img src="/img/tutorial/path-operation-advanced-configuration/image01.png">

Neste caso, você pode usar `typing.Dict` (ou simplesmente dict no Python 3.9 e superior):

{* ../../docs_src/extra_models/tutorial005.py hl[1,8] *}

## Em resumo

Use vários modelos Pydantic e herde livremente para cada caso.

### Criando uma classe `Enum`

Importe `Enum` e crie uma sub-classe que herde de `str` e de `Enum`.

Por herdar de `str` a documentação da API vai ser capaz de saber que os valores devem ser do tipo `string` e assim ser capaz de mostrar eles corretamente.

    }

    /**
     * {@return the project artifacts as immutable list}. Elements are the project POM artifact and the artifact
     * produced by this project build, if applicable. Hence, the returned list may have one or two elements
     * (never less than 1, never more than 2), depending on project packaging.
     * <p>

 * instances.</p>
 *
 * <p><dfn>Project aggregation</dfn> allows building several projects together. This is only
 * for projects that are built, hence available on the file system. One project,
 * called the <dfn>aggregator project</dfn> lists one or more <dfn>modules</dfn>
 * which are relative pointers on the file system to other projects. This is done using

Und dann fügen wir ein noch weiteres Schlüsselwort-Argument hinzu, `hashed_password=hashed_password`:

```Python
UserInDB(**user_in.dict(), hashed_password=hashed_password)
```

... was am Ende ergibt:

```Python
UserInDB(
    username = user_dict["username"],
    password = user_dict["password"],
    email = user_dict["email"],
    full_name = user_dict["full_name"],

Mehr erfahren Sie am Ende dieser Seite.

///

## Zusätzliche Argumente für `Field`

Wenn Sie `Field()` mit Pydantic-Modellen verwenden, können Sie ebenfalls zusätzliche `examples` deklarieren:

     * Note: Project properties contains properties injected from profiles, if applicable. Their precedence is
     * {@code profile > project}, hence active profile property may override project property.
     * <p>
     * The caller of this method should decide whether there is a project in scope (hence, a project instance
     * needs to be passed) or not.
     *
     * @param project {@link Project} or {@code null}.