* 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 testParanoid() {
    HashFn hf =
        new HashFn() {
          @Override
          public byte[] hash(byte[] input, int seed) {
            Hasher hasher = murmur3_128(seed).newHasher();
            Funnels.byteArrayFunnel().funnel(input, hasher);
            return hasher.hash().asBytes();
          }
        };
    // Murmur3F, MurmurHash3 for x64, 128-bit (MurmurHash3_x64_128)

    public String link;
    /** Path relative to tree from which this referral was thrown */
    public String path; // Path relative to tree from which this referral was thrown
    /** Whether to resolve hashes in the path */
    public boolean resolveHashes;
    /** Expiration time for this referral entry */
    public long expiration;

    /** The next DFS referral in the chain */
    DfsReferral next;

    @CanIgnoreReturnValue
    @Override
    public Hasher putInt(int i) {
      update(4, i);
      return this;
    }

    @CanIgnoreReturnValue
    @Override
    public Hasher putLong(long l) {
      update(4, (int) l);
      update(4, l >>> 32);
      return this;
    }

    @CanIgnoreReturnValue
    @Override
    public Hasher putChar(char c) {
      update(2, c);
      return this;

    for (LoadingCache<Object, Object> cache : caches()) {
      // don't let the entries get GCed
      List<Entry<Object, Object>> unused = warmUp(cache);
      assertEquals(WARMUP_SIZE, cache.size());
      assertMapSize(cache.asMap(), WARMUP_SIZE);
      checkValidState(cache);
    }
  }

  public void testContainsKey_found() {
    for (LoadingCache<Object, Object> cache : caches()) {
      // don't let the entries get GCed

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

 * 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 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:

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

  }

  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) {