session, DependencyResolverRequest.RequestType.FLATTEN, project, scope));
    }

    @Nonnull
    default DependencyResolverResult flatten(@Nonnull DependencyResolverRequest request) {
        if (request.getRequestType() != DependencyResolverRequest.RequestType.FLATTEN) {
            throw new IllegalArgumentException("requestType should be FLATTEN when calling flatten()");
        }
        return resolve(request);
    }

) {
  val commonName: Any?
    get() {
      return tbsCertificate.subject
        .flatten()
        .firstOrNull { it.type == ObjectIdentifiers.COMMON_NAME }
        ?.value
    }

  val organizationalUnitName: Any?
    get() {
      return tbsCertificate.subject
        .flatten()
        .firstOrNull { it.type == ObjectIdentifiers.ORGANIZATIONAL_UNIT_NAME }
        ?.value
    }

     *
     * @return the id of the path scope
     */
    String pathScope() default "";

    /**
     * The request type, in case the default one is not correct.
     * Valid values are {@code collect}, {@code flatten}, or {@code resolve}.
     *
     * @return the request type
     */
    String requestType() default "";

    /**
     * Should upgrade plugins known to fail with Maven 4 to their minimum compatible versions.
     * This includes upgrading plugins like maven-exec-plugin, maven-enforcer-plugin,
     * flatten-maven-plugin, and maven-shade-plugin to versions that work with Maven 4.
     *
     * @return an {@link Optional} containing the boolean value {@code true} if specified, or empty
     */
    @Nonnull

 * followed by <dfn>flattening</dfn> and <dfn>resolution</dfn>.
 * The version selection is done for each dependency during the collection phase.
 * The flatten phase keeps only a single version per ({@code groupId}, {@code artifactId}) pair.
 * The resolution phase actually downloads the dependencies (or artifacts) that have been computed.
 *
 * @since 4.0.0
 */
@Experimental

var flateWriterPool sync.Pool

func newFlateWriter(w io.Writer) io.WriteCloser {
	fw, ok := flateWriterPool.Get().(*flate.Writer)
	if ok {
		fw.Reset(w)
	} else {
		fw, _ = flate.NewWriter(w, 5)
	}
	return &pooledFlateWriter{fw: fw}
}

type pooledFlateWriter struct {
	mu sync.Mutex // guards Close and Write
	fw *flate.Writer
}

func (w *pooledFlateWriter) Write(p []byte) (n int, err error) {
	w.mu.Lock()

     *
     * @return the root node of the dependency graph or {@code null} if none
     */
    @Nullable
    Node getRoot();

    /**
     * The ordered list of the flattened dependency nodes.
     *
     * @return the ordered list of the flattened dependency nodes
     */
    @Nonnull
    List<Node> getNodes();

    /**

	// Create a new zip archive.
	w := zip.NewWriter(buf)

	// Register a custom Deflate compressor.
	w.RegisterCompressor(zip.Deflate, func(out io.Writer) (io.WriteCloser, error) {
		return flate.NewWriter(out, flate.BestCompression)
	})

	// Proceed to add files to w.

# This is the official list of TensorFlow authors for copyright purposes.
# This file is distinct from the CONTRIBUTORS files.
# See the latter for an explanation.

# Names should be added to this file as:
# Name or Organization <email address>
# The email address is not required for organizations.

Google Inc.
Yuan Tang <******@****.***>

Sie müssen also sicherstellen, dass Ihre Daten vom richtigen Typ sind. Z. B. sollten diese mit JSON kompatibel sein, wenn Sie eine `JSONResponse` zurückgeben.

Und auch, dass Sie keine Daten senden, die durch ein `response_model` hätten gefiltert werden sollen.

///

### Mehr Informationen

/// note | Technische Details

Sie können auch `from starlette.responses import Response` oder `from starlette.responses import JSONResponse` verwenden.