// The logic to sort by last octet is implemented to
// prefer CIDRs with higher octets, this in-turn skips the
// localhost/loopback address to be not preferred as the
// first ip on the list. Subsequently this list helps us print
// a user friendly message with appropriate values.
func sortIPs(ipList []string) []string {
	if len(ipList) == 1 {
		return ipList
	}

	var ipV4s []net.IP
	var nonIPs []string

The main difference between various MinIO-KMS deployments is the KMS implementation. The following table helps you select the right option for your use case:

| KMS                                                                                          | Purpose                                                           |

#### The time to answer helps the attackers

		})
	}

	return metrics
}

func getResourceMetricDescription(subSys MetricSubsystem, name MetricName, help string) MetricDescription {
	return MetricDescription{
		Namespace: nodeMetricNamespace,
		Subsystem: subSys,
		Name:      name,
		Help:      help,
		Type:      gaugeMetric,
	}
}

func getResourceMetrics() *MetricsGroupV2 {
	mg := &MetricsGroupV2{

	// because we are using `List()` in the handler, without this requeue,
	// the fake client will sometimes drop pod events leading to test flakes.
	//
	// WaitForCacheSync *helps*, but does not entirely fix this problem
	s.namespaces = kclient.New[*corev1.Namespace](kubeClient)
	s.namespaces.AddEventHandler(controllers.FromEventHandler(func(o controllers.Event) {
		s.queue.Add(o)
	}))

	return s

* And then it starts **4 workers**, each with its own PID: `19511`, `19513`, `19514`, and `19515`.

Gunicorn would also take care of managing **dead processes** and **restarting** new ones if needed to keep the number of workers. So that helps in part with the **restart** concept from the list above.

Nevertheless, you would probably also want to have something outside making sure to **restart Gunicorn** if necessary, and also to **run it on startup**, etc.

      @CheckForNull Object value;
      @CheckForNull ValueHolder next;
    }

    /**
     * Holder object for values that cannot be null or empty (will be printed unconditionally). This
     * helps to shortcut most calls to isEmpty(), which is important because the check for emptiness
     * is relatively expensive. Use a subtype so this also doesn't need any extra storage.
     */

  // context and TF server for multi-client execution.
  virtual Status EnableCollectiveOps(const ServerDef& server_def) = 0;

  // Set a distributed manager that helps set up, update, and check liveness
  // of member tasks in the cluster.
  virtual void SetDistributedManager(
      std::unique_ptr<ImmediateExecutionDistributedManager> distributed) = 0;

# Development - Contributing

First, you might want to see the basic ways to [help FastAPI and get help](help-fastapi.md){.internal-link target=_blank}.

## Developing

If you already cloned the <a href="https://github.com/tiangolo/fastapi" class="external-link" target="_blank">fastapi repository</a> and you want to deep dive in the code, here are some guidelines to set up your environment.

### Virtual environment with `venv`

    taskFuture.addListener(listener, directExecutor());

    return outputFuture;
  }

  enum RunningState {
    NOT_RUN,
    CANCELLED,
    STARTED,
  }

  /**
   * This class helps avoid a StackOverflowError when large numbers of tasks are submitted with
   * {@link MoreExecutors#directExecutor}. Normally, when the first future completes, all the other