Variáveis de ambiente podem ser úteis para lidar com **configurações** do aplicativo, como parte da **instalação** do Python, etc.

## Criar e Usar Variáveis de Ambiente { #create-and-use-env-vars }

Você pode **criar** e usar variáveis de ambiente no **shell (terminal)**, sem precisar do Python:

//// tab | Linux, macOS, Windows Bash

<div class="termy">

```console

    * `description`: ein `str` mit einer kurzen Beschreibung für die externe Dokumentation.
    * `url` (**erforderlich**): ein `str` mit der URL für die externe Dokumentation.

### Metadaten für Tags erstellen { #create-metadata-for-tags }

Versuchen wir es mit einem Beispiel mit Tags für `users` und `items`.

Erstellen Sie Metadaten für Ihre Tags und übergeben Sie diese an den Parameter `openapi_tags`:

    * `url` (**requerido**): un `str` con la URL para la documentación externa.

### Crear metadata para etiquetas { #create-metadata-for-tags }

Probemos eso en un ejemplo con etiquetas para `users` y `items`.

Crea metadata para tus etiquetas y pásala al parámetro `openapi_tags`:

{* ../../docs_src/metadata/tutorial004_py39.py hl[3:16,18] *}

    private Proxy proxy;

    private List<ArtifactRepository> mirroredRepositories = Collections.emptyList();

    private boolean blocked;

    public MavenArtifactRepository() {}

    /**
     * Create a remote download repository.
     *
     * @param id        the unique identifier of the repository
     * @param url       the URL of the repository
     * @param layout    the layout of the repository

	// Collect() call. This is protected by the `bucketsLock`.
	bucketsLock sync.Mutex
	buckets     []string
}

// NewMetricsGroup creates a new MetricsGroup. To create a metrics group for
// metrics with a `bucket` dimension (label), use `NewBucketMetricsGroup`.
//
// The `loader` function loads metrics from the cache and the system.

The `security_scopes` object (of class `SecurityScopes`) also provides a `scope_str` attribute with a single string, containing those scopes separated by spaces (we are going to use it).

We create an `HTTPException` that we can reuse (`raise`) later at several points.

						}
					}
					association.Error = association.DB.Session(&Session{
						NewDB: true,
					}).Model(child.Interface()).Create(mapv.Interface()).Error
				case schema.Many2Many:
					association.Error = association.DB.Session(&Session{
						NewDB: true,
					}).Model(child.Interface()).Create(mapv.Interface()).Error

					for _, key := range mapv.MapKeys() {
						k := strings.ToLower(key.String())

                                 export_dir, tag_set, &bundle);
  if (!status->status.ok()) return nullptr;

  // Create a TF_Graph from the MetaGraphDef. This is safe as long as Session
  // extends using GraphDefs. The Graph instance is different, but equivalent
  // to the one used to create the session.
  //
  // TODO(jhseu): When Session is modified to take Graphs instead of

#### Pydantic's `.model_dump()` { #pydantics-model-dump }

`user_in` is a Pydantic model of class `UserIn`.

Pydantic models have a `.model_dump()` method that returns a `dict` with the model's data.

So, if we create a Pydantic object `user_in` like:

```Python
user_in = UserIn(username="john", password="secret", email="******@****.***")
```

and then we call:

```Python
user_dict = user_in.model_dump()
```

}

// MakeBucketOptions represents bucket options for ObjectLayer bucket operations
type MakeBucketOptions struct {
	LockEnabled       bool
	VersioningEnabled bool
	ForceCreate       bool      // Create buckets even if they are already created.
	CreatedAt         time.Time // only for site replication
	NoLock            bool      // does not lock the make bucket call if set to 'true'
}