// Assert
        assertArrayEquals(expected, actual, "NT hash must match known test vector");
    }

    @Test
    @DisplayName("getNTHash: verify different passwords produce different hashes")
    void testGetNTHash_differentPasswords() {
        // Arrange
        String password1 = "password";
        String password2 = "Password";

        // Act
        byte[] hash1 = NtlmUtil.getNTHash(password1);

#	make v1.2.3.test
#
# and then if changes are needed, check them into master
# and run 'make v1.2.3.rm' and repeat.
#
# Note that once published a snapshot zip file should never
# be modified. We record the sha256 hashes of the zip files
# in fips140.sum, and the cmd/go/internal/fips140 test checks
# that the zips match.
#
# When the zip file is finalized, run 'make updatesum' to update
# fips140.sum.

default:

    }
  }

  public void testPutAfterHash() {
    Hasher sha1 = Hashing.sha1().newHasher();

    assertEquals(
        "2fd4e1c67a2d28fced849ee1bb76e7391b93eb12",
        sha1.putString("The quick brown fox jumps over the lazy dog", UTF_8).hash().toString());
    assertThrows(IllegalStateException.class, () -> sha1.putInt(42));
  }

  public void testHashTwice() {
    Hasher sha1 = Hashing.sha1().newHasher();

    assertEquals(

	}
}

// KafkaSHA256 is a function that returns a crypto/sha256 hasher and should be used
// to create Client objects configured for SHA-256 hashing.
var KafkaSHA256 scram.HashGeneratorFcn = sha256.New

// KafkaSHA512 is a function that returns a crypto/sha512 hasher and should be used
// to create Client objects configured for SHA-512 hashing.
var KafkaSHA512 scram.HashGeneratorFcn = sha512.New

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

            .removalListener(removalListener)
            .build(loader);

    // caches 2
    assertThat(cache.getUnchecked(2)).isEqualTo(2);
    assertThat(cache.asMap().keySet()).containsExactly(2);

    CacheTesting.processPendingNotifications(cache);
    assertThat(removalListener.getCount()).isEqualTo(0);

    // caches 3, evicts 2
    assertThat(cache.getUnchecked(3)).isEqualTo(3);

# Bases de Datos SQL (Relacionales) { #sql-relational-databases }

**FastAPI** no requiere que uses una base de datos SQL (relacional). Pero puedes utilizar **cualquier base de datos** que desees.

Aquí veremos un ejemplo usando <a href="https://sqlmodel.tiangolo.com/" class="external-link" target="_blank">SQLModel</a>.

 * calling it should not be necessary with a high throughput cache. Only caches built with {@link
 * #removalListener removalListener}, {@link #expireAfterWrite expireAfterWrite}, {@link
 * #expireAfterAccess expireAfterAccess}, {@link #weakKeys weakKeys}, {@link #weakValues
 * weakValues}, or {@link #softValues softValues} perform periodic maintenance.
 *
 * <p>The caches produced by {@code CacheBuilder} are serializable, and the deserialized caches

	}
}

// KafkaSHA256 is a function that returns a crypto/sha256 hasher and should be used
// to create Client objects configured for SHA-256 hashing.
var KafkaSHA256 scram.HashGeneratorFcn = sha256.New

// KafkaSHA512 is a function that returns a crypto/sha512 hasher and should be used
// to create Client objects configured for SHA-512 hashing.
var KafkaSHA512 scram.HashGeneratorFcn = sha512.New

  # Repack the wheel. When repacking, the wheel would be automatically tagged
  # with the new tag we provided in ${whl_tag}. Repacking also regnerates the
  # RECORD file which contains hashes of all included files.
  python3 -m wheel pack "${pkg_name}"
done

# Switch back to the original working directory. This is needed to ensure that
# cleanup steps at the end of the script works as expected.
popd