}

    /**
     * Returns the algorithm.
     *
     * @return the algorithm
     */
    public String getAlgorithm() {
        return algorithm;
    }

    /**
     * Sets the algorithm.
     *
     * @param algorithm
     *            the algorithm
     */
    public void setAlgorithm(final String algorithm) {
        this.algorithm = algorithm;
    }

    /**

        Hashing.hmacSha1(keyData).toString());

    assertEquals(
        "Hashing.hmacSha256(Key[algorithm=HmacSHA256, format=RAW])",
        Hashing.hmacSha256(SHA256_KEY).toString());
    assertEquals(
        "Hashing.hmacSha256(Key[algorithm=HmacSHA256, format=RAW])",
        Hashing.hmacSha256(keyData).toString());

    assertEquals(

        });
    }

    @Test
    @DisplayName("Test unsupported hash algorithm")
    public void testUnsupportedHashAlgorithm() {
        byte[] salt = preauthService.generatePreauthSalt();

        assertThrows(CIFSException.class, () -> {
            preauthService.initializeSession("test", salt, 0xFF); // Unsupported algorithm
        });
    }

    @Test

architecture gives flexibility to the application developer, whereas in previous “parameter server” designs the management of shared state is built into the system, TensorFlow enables developers to experiment with novel optimizations and training algorithms. TensorFlow supports a variety of applications, with a focus on training and inference on deep neural networks. Several Google services use TensorFlow in production, we have released it as an open-source project, and it has become widely used for...

        detail="Could not validate credentials",
        headers={"WWW-Authenticate": authenticate_value},
    )
    try:
        payload = jwt.decode(token, SECRET_KEY, algorithms=[ALGORITHM])
        username: str = payload.get("sub")
        if username is None:
            raise credentials_exception
        scope: str = payload.get("scope", "")
        token_scopes = scope.split(" ")

	}
	for algorithm := range bitrotAlgorithms {
		if !algorithm.Available() {
			continue
		}

		checksum, err := hex.DecodeString(checksums[algorithm])
		if err != nil {
			logger.Fatal(errSelfTestFailure, fmt.Sprintf("bitrot: failed to decode %v checksum %s for selftest: %v", algorithm, checksums[algorithm], err))
		}
		var (
			hash = algorithm.New()

import java.io.IOException;

/**
 * Represents a PAC signature structure containing checksum type and data.
 * This class parses and holds signature information from Kerberos PAC data,
 * supporting various checksum algorithms including HMAC-MD5 and HMAC-SHA1 with AES.
 */
public class PacSignature {

    /**
     * Kerberos checksum type for HMAC-MD5 (ARCFOUR-HMAC).
     */
    public static final int KERB_CHECKSUM_HMAC_MD5 = 0xFFFFFF76;

 *
 * <h3>Relationship to {@link Object#hashCode}</h3>
 *
 * <p>Java's baked-in concept of hash codes is constrained to 32 bits, and provides no separation
 * between hash algorithms and the data they act on, so alternate hash algorithms can't be easily
 * substituted. Also, implementations of {@code hashCode} tend to be poor-quality, in part because

 *
 * <h3>Relationship to {@link Object#hashCode}</h3>
 *
 * <p>Java's baked-in concept of hash codes is constrained to 32 bits, and provides no separation
 * between hash algorithms and the data they act on, so alternate hash algorithms can't be easily
 * substituted. Also, implementations of {@code hashCode} tend to be poor-quality, in part because

 * This class provides methods for computing MACs using various Kerberos encryption types including
 * ARCFOUR-HMAC-MD5 and AES-based HMAC algorithms.
 */
public class PacMac {

    /**
     * Private constructor to prevent instantiation of utility class.
     */
    private PacMac() {
        // Utility class
    }

    /**
     *
     */