public static void testSubtypeOfStaticAnonymousClass() {
    Class<?> superclass = new Mall<Outdoor>().new Shop<Electronics>() {}.getClass();
    assertTrue(TypeToken.of(superclass).isSubtypeOf(superclass));
    assertFalse(
        TypeToken.of(new Mall<Outdoor>().new Shop<Electronics>() {}.getClass())
            .isSubtypeOf(superclass));
  }

* Certifique-se de ter modelos Pydantic bem definidos para seus corpos de solicitação e respostas.
* Configure quaisquer permissões e funções necessárias usando dependências.
* Nunca armazene senhas em texto simples, apenas hashes de senha.
* Implemente e use ferramentas criptográficas bem conhecidas, como tokens JWT e Passlib, etc.
* Adicione controles de permissão mais granulares com escopos OAuth2 quando necessário.
* ...etc.

 * 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

* Make sure you have well defined Pydantic models for your request bodies and responses.
* Configure any required permissions and roles using dependencies.
* Never store plaintext passwords, only password hashes.
* Implement and use well-known cryptographic tools, like Passlib and JWT tokens, etc.
* Add more granular permission controls with OAuth2 scopes where needed.
* ...etc.

  }

  public void testHashIntVsForLoop() {
    int input = 42;
    HashCode expected = Hashing.md5().hashInt(input);

    Hasher hasher = Hashing.md5().newHasher();
    for (int i = 0; i < 32; i += 8) {
      hasher.putByte((byte) (input >> i));
    }
    HashCode actual = hasher.hash();

    assertEquals(expected, actual);
  }

import jcifs.ntlmssp.Type3Message;
import jcifs.smb.NtlmPasswordAuthentication;

/**
 * This class is used internally by {@code NtlmHttpFilter},
 * {@code NtlmServlet}, and {@code NetworkExplorer} to negotiate password
 * hashes via NTLM SSP with MSIE. It might also be used directly by servlet
 * containers to incorporate similar functionality.
 * <p>
 * How NTLMSSP is used in conjunction with HTTP and MSIE clients is

            .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);

        run: |
          mkdir -p ~/.mimir
          cp .github/ci-extensions.xml ~/.m2/extensions.xml
          cp .github/ci-mimir-daemon.properties ~/.mimir/daemon.properties

      - name: Handle Mimir caches
        uses: actions/cache@0400d5f644dc74513175e3cd8d07132dd4860809 # v4
        with:
          path: ~/.mimir/local
          key: mimir-${{ runner.os }}-initial-${{ hashFiles('**/pom.xml') }}
          restore-keys: |

        // 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);

  }

  static HashCode randomHash(HashFunction hashFunction, Random random, int numActions) {
    Hasher hasher = hashFunction.newHasher();
    for (int i = 0; i < numActions; i++) {
      RandomHasherAction.pickAtRandom(random).performAction(random, ImmutableSet.of(hasher));
    }
    return hasher.hash();
  }

  private static void assertShortcutsAreEquivalent(HashFunction hashFunction, int trials) {