*
   * <p>Implementations should be collections of pure functions (i.e. stateless).
   */
  interface Strategy extends java.io.Serializable {

    /**
     * Sets {@code numHashFunctions} bits of the given bit array, by hashing a user element.
     *
     * <p>Returns whether any bits changed as a result of this operation.
     */
    <T extends @Nullable Object> boolean put(
        @ParametricNullness T object,

import jcifs.internal.smb2.Smb2Constants;
import jcifs.internal.util.SMBUtil;

/**
 * SMB2 Flush request message.
 *
 * This command is used to flush buffered data to the
 * underlying storage device for a given file handle.
 *
 * @author mbechler
 */
public class Smb2FlushRequest extends ServerMessageBlock2Request<Smb2FlushResponse> implements RequestWithFileId {

    private byte[] fileId;

    /**

   * saving space.
   */
  @VisibleForTesting static final double MAX_LOAD_FACTOR = 1.2;

  /**
   * Maximum allowed false positive probability of detecting a hash flooding attack given random
   * input.
   */
  @VisibleForTesting static final double HASH_FLOODING_FPP = 0.001;

  /**
   * Maximum allowed length of a hash table bucket before falling back to a j.u.HashMap based

 */
@J2ktIncompatible
@GwtIncompatible
public final class LittleEndianDataOutputStream extends FilterOutputStream implements DataOutput {

  /**
   * Creates a {@code LittleEndianDataOutputStream} that wraps the given stream.
   *
   * @param out the stream to delegate to
   */
  public LittleEndianDataOutputStream(OutputStream out) {
    super(new DataOutputStream(Preconditions.checkNotNull(out)));
  }

  @Override

     *
     * @return array of supported algorithm constants
     */
    int[] getSupportedAlgorithms();

    /**
     * Estimates the compression ratio for the given data and algorithm.
     * This can be used to decide whether compression is worthwhile.
     *
     * @param data the data to analyze
     * @param algorithm the compression algorithm

Você também pode combinar `dataclasses` com outras anotações de tipo para criar estruturas de dados aninhadas.

Em alguns casos, você ainda pode ter que usar a versão do Pydantic das `dataclasses`. Por exemplo, se você tiver erros com a documentação da API gerada automaticamente.

Nesse caso, você pode simplesmente trocar as `dataclasses` padrão por `pydantic.dataclasses`, que é um substituto direto:

         *
         * @return the delay in milliseconds
         */
        public long getDelay() {
            return delay;
        }

        /**
         * Checks if this rule applies to the given time and day.
         *
         * @param hours the hour of the day (0-23)
         * @param minutes the minute of the hour (0-59)
         * @param day the day of the week (1=Sunday, 7=Saturday)

 *
 * <p>{@link org.apache.maven.api.DependencyScope} defines when/how a given dependency will be used by the
 * project. This includes compile-time only, runtime, test time, and various other combinations.</p>
 *
 * <h3>Resolution</h3>
 *
 * <p><dfn>Version resolution</dfn> is the process of finding, for a given artifact, a list of

This decoupling of parts, and being a "microframework" that could be extended to cover exactly what is needed was a key feature that I wanted to keep.

Given the simplicity of Flask, it seemed like a good match for building APIs. The next thing to find was a "Django REST Framework" for Flask.

/// check | Inspired **FastAPI** to

import java.io.Serializable;
import java.util.Collection;
import java.util.Set;
import org.jspecify.annotations.NullUnmarked;
import org.jspecify.annotations.Nullable;

/**
 * {@link Set} implementation that asserts that a given lock is held whenever one of its methods is
 * called.
 */
@NullUnmarked
class LockHeldAssertingSet<E> extends ForwardingSet<E> implements Serializable {
  final Set<E> delegate;
  final Object mutex;