*            the SMB2 dialect version
     * @param preauthIntegrityHash
     *            the pre-authentication integrity hash (for SMB 3.1.1)
     * @throws GeneralSecurityException
     *             if the signing algorithm cannot be initialized
     *
     */
    public Smb2SigningDigest(final byte[] sessionKey, final int dialect, final byte[] preauthIntegrityHash)
            throws GeneralSecurityException {
        switch (dialect) {

	tillOffset := min(endShard*shardSize+shardSize, shardFileSize)
	return tillOffset
}

// erasureSelfTest performs a self-test to ensure that erasure
// algorithms compute expected erasure codes. If any algorithm
// produces an incorrect value it fails with a hard error.
//
// erasureSelfTest tries to catch any issue in the erasure implementation
// early instead of silently corrupting data.

    }

    /**
     * Test decrypt with DES encryption.
     *
     * @throws GeneralSecurityException if a security error occurs
     * @throws NoSuchAlgorithmException if the algorithm is not available
     */
    @Test
    void testDecryptDes() throws GeneralSecurityException, NoSuchAlgorithmException {
        KeyGenerator keyGen = KeyGenerator.getInstance("DES");
        keyGen.init(56);

09d25e094faa6ca2556c818166b7a9563b93f7099f6f0f4caa6cf63b88e8d3e7
```

</div>

Y copia el resultado a la variable `SECRET_KEY` (no uses la del ejemplo).

Crea una variable `ALGORITHM` con el algoritmo usado para firmar el token JWT y configúralo a `"HS256"`.

Crea una variable para la expiración del token.

Define un Modelo de Pydantic que se usará en el endpoint de token para el response.

            verify(ace).getApplyToText();
        }
    }

    @Nested
    @DisplayName("Windows Access Check Algorithm Tests")
    class WindowsAccessCheckTests {

        @Test
        @DisplayName("Should simulate access check algorithm from documentation")
        void shouldSimulateDocumentationExample() {

 */
// TODO(kevinb): this class still needs some design-and-document-for-inheritance love
abstract class AbstractStreamingHasher extends AbstractHasher {
  /** Buffer via which we pass data to the hash algorithm (the implementor) */
  private final ByteBuffer buffer;

  /** Number of bytes to be filled before process() invocation(s). */
  private final int bufferSize;

  /** Number of bytes processed per process() invocation. */

        : ImmutableList.<E>construct(elements.clone());
  }

  /**
   * Returns an immutable list containing the given elements, sorted according to their natural
   * order. The sorting algorithm used is stable, so elements that compare as equal will stay in the
   * order in which they appear in the input.
   *
   * <p>If your data has no duplicates, or you wish to deduplicate elements, use {@code

        Model child = getModel(baseName + "-child");

        if (fromRepo) {
            // when model is read from repo, a stream is used, then pomFile == null
            // (has consequences in inheritance algorithm since getProjectDirectory() returns null)
            parent = parent.clone();
            parent.setPomFile(null);
            child = child.clone();
            child.setPomFile(null);
        }

var errFileCorrupt = StorageErr("file is corrupted")

// errBitrotHashAlgoInvalid - the algo for bit-rot hash
// verification is empty or invalid.
var errBitrotHashAlgoInvalid = StorageErr("bit-rot hash algorithm is invalid")

// errCrossDeviceLink - rename across devices not allowed.
var errCrossDeviceLink = StorageErr("Rename across devices not allowed, please fix your backend configuration")

     * and the arithmetic mean is always higher than the geometric mean.
     *
     * b) this iteration converges to floor(sqrt(x)). In fact, the number of correct digits doubles
     * with each iteration, so this algorithm takes O(log(digits)) iterations.
     *
     * We start out with a double-precision approximation, which may be higher or lower than the
     * true value. Therefore, we perform at least one Newton iteration to get a guess that's