// it still should only have executed once due to memoization
    assertEquals(1, countingSupplier.calls);

    Thread.sleep(150);

    assertEquals(20, (int) memoizedSupplier.get());
    // old value expired
    assertEquals(2, countingSupplier.calls);

    assertEquals(20, (int) memoizedSupplier.get());
    // it still should only have executed twice due to memoization
    assertEquals(2, countingSupplier.calls);
  }

    * A "token" is just a string with some content that we can use later to verify this user.
    * Normally, a token is set to expire after some time.
        * So, the user will have to log in again at some point later.
        * And if the token is stolen, the risk is less. It is not like a permanent key that will work forever (in most of the cases).

	if !cred.Expiration.IsZero() && !cred.Expiration.Equal(timeSentinel) {
		s.WriteString("\n")
		s.WriteString(cred.Expiration.String())
	}
	return s.String()
}

// IsExpired - returns whether Credential is expired or not.
func (cred Credentials) IsExpired() bool {
	if cred.Expiration.IsZero() || cred.Expiration.Equal(timeSentinel) {
		return false
	}

	return cred.Expiration.Before(time.Now().UTC())
}

     * <p>
     * This method will attempt
     * to resolve SIDs using a cache and cache the results of any SIDs that
     * required resolving with the authority. SID cache entries are currently not
     * expired because under normal circumstances SID information never changes.
     *
     * @param authorityServerName
     *            The hostname of the server that should be queried. For maximum efficiency this should be the hostname

    * Un "token" es solo un string con algún contenido que podemos usar luego para verificar a este usuario.
    * Normalmente, un token se establece para que expire después de algún tiempo.
        * Así que, el usuario tendrá que volver a iniciar sesión más adelante.

        try {
            rateLimiter.checkAttempt(username, ip);
            fail("Should be locked out");
        } 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");
    }

	NowFunc func() time.Time
	// DryRun generate sql without execute
	DryRun bool
	// PrepareStmt executes the given query in cached statement
	PrepareStmt bool
	// PrepareStmt cache support LRU expired,
	// default maxsize=int64 Max value and ttl=1h
	PrepareStmtMaxSize int
	PrepareStmtTTL     time.Duration

	// DisableAutomaticPing
	DisableAutomaticPing bool
	// DisableForeignKeyConstraintWhenMigrating

That way, you can create a token with an expiration of, let's say, 1 week. And then when the user comes back the next day with the token, you know that user is still logged in to your system.

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`.

            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("jwtsignature", jwtSignature);