assertTrue(permissionDenied.getMessage().contains("Permission denied"));

        // Scenario 4: Exit code error
        CommandExecutionException exitCodeError = new CommandExecutionException("Command exited with non-zero code: 127");
        assertTrue(exitCodeError.getMessage().contains("non-zero code"));
    }

            attributes.put("refreshtoken", tr.getRefreshToken() == null ? "null" : tr.getRefreshToken());
            attributes.put("tokentype", tr.getTokenType());
            attributes.put("expire", tr.getExpiresInSeconds());
            attributes.put("jwtheader", jwtHeader);
            attributes.put("jwtclaim", jwtClaim);
            attributes.put("jwtsign", jwtSigniture);

        } catch (SmbException e) {
            // Expected
        }

        // Wait for lockout to expire
        Thread.sleep(2100); // Lockout is 2 seconds in test setup

        // Should be allowed again
        assertTrue(rateLimiter.checkAttempt(username, ip), "Should be allowed after lockout expiry");
    }

    @Test
    public void testSuccessResetsCounter() throws Exception {

Spark/Hadoop workloads which use Hadoop MR Committer v1/v2 algorithm upload objects to a temporary prefix in a bucket. These objects are 'renamed' to a different prefix on Job commit. Object storage admins are forced to configure separate ILM policies to expire these objects and their versions to reclaim space.

### Solution

To exclude objects under a list of prefix (glob) patterns from being versioned, you can send the following versioning configuration with Status set to `Enabled`.

   * An enum representing the state of a node during DFS. {@code PENDING} means that the node is on
   * the stack of the DFS, while {@code COMPLETE} means that the node and all its successors have
   * been already explored. Any node that has not been explored will not have a state at all.
   */
  private enum NodeVisitState {
    PENDING,
    COMPLETE
  }

   * An enum representing the state of a node during DFS. {@code PENDING} means that the node is on
   * the stack of the DFS, while {@code COMPLETE} means that the node and all its successors have
   * been already explored. Any node that has not been explored will not have a state at all.
   */
  private enum NodeVisitState {
    PENDING,
    COMPLETE
  }

performance limitations.

## Multi-Tenant environments

It is possible to run multiple TensorFlow models in parallel. For example,
`ModelServer` collates all computation graphs exposed to it (from multiple
`SavedModel`) and executes them in parallel on available executors. Running
TensorFlow in a multitenant design mixes the risks described above with the

        return asStream(id)//
                .header("Pragma", "no-cache")//
                .header("Cache-Control", "no-cache")//
                .header("Expires", "Thu, 01 Dec 1994 16:00:00 GMT")//
                .header("Content-Type", "application/x-ndjson")//
                .stream(out -> {

    protected String loggerName = "fess.log.crawler.stats";

    /** Maximum number of statistics objects to cache. */
    protected long maxCacheSize = 1000;

    /** Time in milliseconds after which cache entries expire after write. */
    protected long cacheExpireAfterWrite = 10 * 60 * 1000L;

    /** Cache for storing statistics objects keyed by crawler object identifiers. */
    protected LoadingCache<String, StatsObject> statsCache;

	* Um "token" é apenas uma string com algum conteúdo que nós podemos utilizar mais tarde para verificar o usuário.
	* Normalmente, um token é definido para expirar depois de um tempo.
		* Então, o usuário terá que se logar de novo depois de um tempo.
		* E se o token for roubado, o risco é menor. Não é como se fosse uma chave permanente que vai funcionar para sempre (na maioria dos casos).