Así que esperas a que tu crush termine la historia (termine el trabajo ⏯ / tarea actual que se está procesando 🤓), sonríes amablemente y dices que vas por las hamburguesas ⏸.

			}
		}
	}

	defer er.deleteAll(context.Background(), minioMetaTmpBucket, tmpID)

	// Rename from tmp location to the actual location.
	for i, disk := range outDatedDisks {
		if disk == OfflineDisk {
			continue
		}

		// record the index of the updated disks
		partsMetadata[i].Erasure.Index = i + 1

	parentClaim = "parent"

	// LDAP claim keys
	ldapUser       = "ldapUser"       // this is a key name for a normalized DN value
	ldapActualUser = "ldapActualUser" // this is a key name for the actual DN value
	ldapUserN      = "ldapUsername"   // this is a key name for the short/login username
	// Claim key-prefix for LDAP attributes
	ldapAttribPrefix = "ldapAttrib_"

	// Role Claim key
	roleArnClaim = "roleArn"

    boolean longWait = NANOSECONDS.toSeconds(thread.timeSpentBlocked) >= 5;
    // Count how long it actually took to return; we'll accept any number between the expected delay
    // and the approximate actual delay, to be robust to variance in thread scheduling.
    char overWaitNanosFirstDigit =
        Long.toString(thread.timeSpentBlocked - MILLISECONDS.toNanos(longWait ? 5000 : 3000))
            .charAt(0);

A container image is comparable to the **program** file and contents, e.g. `python` and some file `main.py`.

And the **container** itself (in contrast to the **container image**) is the actual running instance of the image, comparable to a **process**. In fact, a container is running only when it has a **process running** (and normally it's only a single process). The container stops when there's no process running in it.

    }

    /**
     * Validates the nonce in the authentication result.
     * @param stateData The stored state data containing the expected nonce.
     * @param authData The authentication result containing the actual nonce.
     */
    protected void validateNonce(final StateData stateData, final IAuthenticationResult authData) {
        final String idToken = authData.idToken();
        if (logger.isDebugEnabled()) {

            }
        }
        if (sb.length() > 0) {
            return "failure in bulk execution:" + sb.toString();
        }
        return StringUtil.EMPTY;
    }

    /**
     * Performs the actual bulk insertion of documents into the OpenSearch index.
     *
     * @param <T> The type of objects to insert.
     * @param list The list of objects to insert.
     * @param opType The operation type (CREATE, INDEX, etc.).

   * table is internally partitioned to try to permit the indicated number of concurrent updates
   * without contention. Because assignment of entries to these partitions is not necessarily
   * uniform, the actual concurrency observed may vary. Ideally, you should choose a value to
   * accommodate as many threads as will ever concurrently modify the table. Using a significantly

 * from uniform), and amortized since some operations can trigger a hash table resize.
 *
 * <p>Unlike {@code java.util.HashMap}, iteration is only proportional to the actual {@code size()},
 * which is optimal, and <i>not</i> the size of the internal hashtable, which could be much larger
 * than {@code size()}. Furthermore, this structure places significantly reduced load on the garbage

  private void readObject(ObjectInputStream in) throws InvalidObjectException {
    throw new InvalidObjectException("Use SerializationProxy");
  }

  /**
   * The actual object that gets serialized. Unfortunately, readResolve() doesn't get called when a
   * circular dependency is present, so the proxy must be able to behave as the map itself.
   */