///

Das wird ein `dict` erstellen, mit nur den Daten, die gesetzt wurden als das `item`-Modell erstellt wurde, Defaultwerte ausgeschlossen.

Sie können das verwenden, um ein `dict` zu erstellen, das nur die (im Request) gesendeten Daten enthält, ohne Defaultwerte:

//// tab | Python 3.10+

```Python hl_lines="32"
{!> ../../docs_src/body_updates/tutorial002_py310.py!}
```

////

//// tab | Python 3.9+

            try (InputStream inputStream = form.stopwordsFile.getInputStream()) {
                file.update(inputStream);
            } catch (final IOException e) {
                logger.warn("Failed to process a request.", e);
                throwValidationError(messages -> messages.addErrorsFailedToUploadStopwordsFile(GLOBAL),
                        () -> redirectWith(getClass(), moreUrl("uploadpage/" + form.dictId)));
            }

    private final InheritanceModelMerger merger = new InheritanceModelMerger();

    @Override
    public Model assembleModelInheritance(
            Model child, Model parent, ModelBuildingRequest request, ModelProblemCollector problems) {
        Map<Object, Object> hints = new HashMap<>();
        String childPath = child.getProperties().getOrDefault(CHILD_DIRECTORY_PROPERTY, child.getArtifactId());

```

////

//// tab | Python 3.8+

```Python hl_lines="1  14"
{!> ../../docs_src/body_nested_models/tutorial003.py!}
```

////

Jetzt, selbst wenn Sie einen Request mit duplizierten Daten erhalten, werden diese zu einem Set eindeutiger Dinge konvertiert.

Und wann immer Sie diese Daten ausgeben, selbst wenn die Quelle Duplikate hatte, wird es als Set von eindeutigen Dingen ausgegeben.

    Note over client,tasks: Can raise exception for dependency, handled after response is sent
    Note over client,operation: Can raise HTTPException and can change the response
    client ->> dep: Start request
    Note over dep: Run code up to yield
    opt raise
        dep -->> handler: Raise HTTPException
        handler -->> client: HTTP error response
        dep -->> dep: Raise other exception
    end

import static org.apache.maven.cling.invoker.Utils.toPlexusLoggingLevel;

/**
 * Container capsule backed by Plexus Container.
 *
 * @param <O> the options type
 * @param <R> the invoker request type
 * @param <C> the invoker context type
 */
public class PlexusContainerCapsuleFactory<
                O extends Options, R extends InvokerRequest<O>, C extends LookupInvoker.LookupInvokerContext<O, R, C>>

		}
		if !testCase.shouldPass && err == nil {
			t.Errorf("Test %d: expected to fail but passed.", i+1)
		}
	}
}

// Testing dumping request function.
func TestDumpRequest(t *testing.T) {

                if (response.getHttpStatusCode() == 200) {
                    logger.info("Register {} to {}", path, indexName);
                    return true;
                }
                logger.warn("Invalid request for {}", path);
            }
        } catch (final Exception e) {
            logger.warn("Failed to register {}", filePath, e);
        }
        return false;
    }

	"github.com/minio/minio/internal/pubsub"
	"github.com/minio/mux"
	"github.com/minio/pkg/v3/policy"
)

func (api objectAPIHandlers) ListenNotificationHandler(w http.ResponseWriter, r *http.Request) {
	ctx := newContext(r, w, "ListenNotification")

	defer logger.AuditLog(ctx, w, r, mustGetClaimsFromToken(r))

	// Validate if bucket exists.
	objAPI := api.ObjectAPI()
	if objAPI == nil {

Usando apenas `BackgroundTasks` (e não `BackgroundTask`), é então possível usá-la como um parâmetro de _função de operação de caminho_ e deixar o **FastAPI** cuidar do resto para você, assim como ao usar o objeto `Request` diretamente.

Ainda é possível usar `BackgroundTask` sozinho no FastAPI, mas você deve criar o objeto em seu código e retornar uma Starlette `Response` incluindo-o.