java.util.List expressions = getExpressions();

            if ( expressions != null && !expressions.isEmpty() )
            {
                for ( java.util.Iterator it = expressions.iterator(); it.hasNext(); )
                {
                    Expression expr = (Expression) it.next();

                    expressionsBySyntax.put( expr.getSyntax(), expr );
                }
            }
        }

    byte[] key = new byte[256];
    byte[] hashes = new byte[hashBytes * 256];

    // Hash keys of the form {}, {0}, {0,1}, {0,1,2}... up to N=255,using 256-N as the seed
    for (int i = 0; i < 256; i++) {
      key[i] = (byte) i;
      int seed = 256 - i;
      byte[] hash = hashFunction.hash(Arrays.copyOf(key, i), seed);
      System.arraycopy(hash, 0, hashes, i * hashBytes, hash.length);
    }

  public void testClear() {
    collection.clear();
    assertTrue("After clear(), a collection should be empty.", collection.isEmpty());
    assertEquals(0, collection.size());
    assertFalse(collection.iterator().hasNext());
  }

  @CollectionFeature.Require(absent = SUPPORTS_REMOVE)
  @CollectionSize.Require(absent = ZERO)
  public void testClear_unsupported() {

specific versions. This is necessary to ensure reproducibility of the build.
The pinned versions of the full transitive closure of TensorFlow's dependencies
together with their corresponding hashes are specified in
`requirements_lock_<python version>.txt` files (e.g.
`requirements_lock_3_12.txt` for `Python 3.12`).

To update the lock files, make sure

   *
   * @param failedConnection an optional connection that was resulted in a failure. If the failure
   *     is recoverable, the connection's route may be recovered for the retry.
   */
  fun hasNext(failedConnection: RealConnection? = null): Boolean

  /**
   * Returns true if the host and port are unchanged from when this was created. This is used to

        this.enumeration = enumeration;
    }

    @Override
    public void remove() {
        throw new ClUnsupportedOperationException("remove");
    }

    @Override
    public boolean hasNext() {
        return enumeration.hasMoreElements();
    }

    @Override
    public T next() {
        return enumeration.nextElement();
    }

* Konfigurieren Sie alle erforderlichen Berechtigungen und Rollen mithilfe von Abhängigkeiten.
* Speichern Sie niemals Klartext-Passwörter, sondern nur Passwort-Hashes.
* Implementieren und verwenden Sie gängige kryptografische Tools wie Passlib und JWT-Tokens, usw.
* Fügen Sie bei Bedarf detailliertere Berechtigungskontrollen mit OAuth2-Scopes hinzu.
* ... usw.

* Asegúrate de tener modelos Pydantic bien definidos para tus request bodies y responses.
* Configura los permisos y roles necesarios usando dependencias.
* Nunca guardes contraseñas en texto plano, solo hashes de contraseñas.
* Implementa y utiliza herramientas criptográficas bien conocidas, como Passlib y JWT tokens, etc.
* Añade controles de permisos más detallados con OAuth2 scopes donde sea necesario.
* ...etc.

         * throwing an IllegalStateException.
         */
        return new Iterator<T>() {
          boolean atStart = true;

          @Override
          public boolean hasNext() {
            return iterator.hasNext();
          }

          @Override
          @ParametricNullness
          public T next() {
            T result = iterator.next();

import jcifs.smb.SmbAuthException;
import jcifs.smb.SmbException;
import jcifs.smb.SmbSessionInternal;
import jcifs.smb.SmbTransportInternal;

/**
 * This servlet Filter can be used to negotiate password hashes with
 * MSIE clients using NTLM SSP. This is similar to {@code Authentication:
 * BASIC} but weakly encrypted and without requiring the user to re-supply
 * authentication credentials.
 * <p>