*       hunt through classes like {@link Arrays} and {@link Longs} for them.
 *   <li>Supports a copy-free {@link #subArray} view, so methods that accept this type don't need to
 *       add overloads that accept start and end indexes.
 *   <li>Can be streamed without "breaking the chain": {@code foo.getBarLongs().stream()...}.
 *   <li>Access to all collection-based utilities via {@link #asList} (though at the cost of

 *       hunt through classes like {@link Arrays} and {@link Ints} for them.
 *   <li>Supports a copy-free {@link #subArray} view, so methods that accept this type don't need to
 *       add overloads that accept start and end indexes.
 *   <li>Can be streamed without "breaking the chain": {@code foo.getBarInts().stream()...}.
 *   <li>Access to all collection-based utilities via {@link #asList} (though at the cost of

 * along with information about the read operation.
 *
 * @author mbechler
 */
public class Smb2ReadResponse extends ServerMessageBlock2Response {

    /**
     * Protocol overhead size for SMB2 read response
     */
    public static final int OVERHEAD = Smb2Constants.SMB2_HEADER_LENGTH + 16;

    private int dataRemaining;
    private int dataLength;
    private final byte[] outputBuffer;
    private final int outputBufferOffset;

        *   Removed the `tensors()` method and the non-const overload of the
            `nodes_and_registration()` method, both of which were previously
            documented as temporary and to be removed.
            *   Uses of `tensors()` can be replaced by calling the existing
                methods `tensors_size()` and `tensor(int)`.
            *   Uses of the non-const overload of `nodes_and_registration` can

    * If you didn't use FastAPI and used Starlette directly (or another tool, like Sanic, Flask, Responder, etc) you would have to implement all the data validation and serialization yourself. So, your final application would still have the same overhead as if it was built using FastAPI. And in many cases, this data validation and serialization...

    * Wenn Sie Uvicorn vergleichen, vergleichen Sie es mit Anwendungsservern wie Daphne, Hypercorn, uWSGI, usw.
* **Starlette**:

 *
 * @author mbechler
 *
 */
public class Smb2QueryInfoResponse extends ServerMessageBlock2Response {

    /**
     * Protocol overhead size for SMB2 query info response
     */
    public static final int OVERHEAD = Smb2Constants.SMB2_HEADER_LENGTH + 8;

    private final byte expectInfoType;
    private final byte expectInfoClass;
    private Decodable info;

    /**

 *
 * @author mbechler
 */
public class Smb2WriteRequest extends ServerMessageBlock2Request<Smb2WriteResponse> implements RequestWithFileId {

    /**
     * The overhead size in bytes for an SMB2 write request packet.
     */
    public static final int OVERHEAD = Smb2Constants.SMB2_HEADER_LENGTH + 48;

    private byte[] data;
    private int dataOffset;
    private int dataLength;

    private byte[] fileId;

    private final boolean realLocalRepo;

    public static RepositorySystemSession overlay(
            ArtifactRepository repository, RepositorySystemSession session, RepositorySystem system) {
        return overlay(repository, session);
    }

    public static RepositorySystemSession overlay(ArtifactRepository repository, RepositorySystemSession session) {

import com.google.common.annotations.GwtCompatible;
import java.util.Iterator;
import org.jspecify.annotations.Nullable;

/**
 * An iterator that transforms a backing iterator; for internal use. This avoids the object overhead
 * of constructing a {@link com.google.common.base.Function Function} for internal methods.
 *
 * @author Louis Wasserman
 */
@GwtCompatible