select {
			case currentGlobalBuffer <- v:
			default:
			}
		}

		if mainWorker {
		drain:
			for {
				select {
				case v, ok := <-h.logCh:
					if !ok {
						break drain
					}

					currentGlobalBuffer <- v
				default:
					break drain
				}
			}
		}
	}()

	var entry interface{}
	var ok bool
	var err error

from anywhere, and executes the graphs it is sent without performing any checks.
Therefore, if you run a `tf.train.Server` in your network, anybody with access
to the network can execute arbitrary code with the privileges of the user
running the `tf.train.Server`.

## Untrusted inputs during training and prediction

TensorFlow supports a wide range of input data formats. For example it can

		result := drain(input)
		if result != test.output {
			t.Errorf("%s: got %q expected %q", test.name, result, test.output)
		}
	}
}

// lines joins the arguments together as complete lines.
func lines(a ...string) string {
	return strings.Join(a, "\n") + "\n"
}

// drain returns a single string representing the processed input tokens.

    defaultConfig:
      proxyMetadata: {}

  # This value defines:
  # 1. how many seconds kube waits for ztunnel pod to gracefully exit before forcibly terminating it (this value)
  # 2. how many seconds ztunnel waits to drain its own connections (this value - 1 sec)
  # Default K8S value is 30 seconds
  terminationGracePeriodSeconds: 30

  # Revision is set as 'version' label and part of the resource names when installing multiple control planes.

        assertTrue(segment.recencyQueue.isEmpty());

        for (int i = 0; i < DRAIN_THRESHOLD / 2; i++) {
          map.get(keyOne);
        }
        assertFalse(segment.recencyQueue.isEmpty());

        for (int i = 0; i < DRAIN_THRESHOLD * 2; i++) {
          map.get(keyOne);
          assertTrue(segment.recencyQueue.size() <= DRAIN_THRESHOLD);
        }

        // get over many different keys

        assertTrue(segment.recencyQueue.isEmpty());

        for (int i = 0; i < DRAIN_THRESHOLD / 2; i++) {
          map.get(keyOne);
        }
        assertFalse(segment.recencyQueue.isEmpty());

        for (int i = 0; i < DRAIN_THRESHOLD * 2; i++) {
          map.get(keyOne);
          assertTrue(segment.recencyQueue.size() <= DRAIN_THRESHOLD);
        }

        // get over many different keys

Le **Guide d'utilisation avancé**, qui s'appuie sur cette base, utilise les mêmes concepts et vous apprend quelques fonctionnalités supplémentaires.

Mais vous devez d'abord lire le **Tutoriel - Guide d'utilisation** (ce que vous êtes en train de lire en ce moment).

l'application efficacement et sans interruption ni problème.

Ceci contraste avec les étapes de **développement**, où vous êtes constamment en train de modifier le code, de le casser
et de le réparer, d'arrêter et de redémarrer le serveur de développement, _etc._

## Stratégies de déploiement

	return dstRec, nil
}

// Close - closes underlying reader.
func (r *Reader) Close() error {
	// Close the input.
	err := r.readCloser.Close()
	for range r.valueCh {
		// Drain values so we don't leak a goroutine.
		// Since we have closed the input, it should fail rather quickly.
	}
	return err
}

// NewReader - creates new JSON reader using readCloser.

   */
  @CanIgnoreReturnValue
  @J2ktIncompatible
  @GwtIncompatible // BlockingQueue
  @SuppressWarnings("GoodTime") // should accept a java.time.Duration
  public static <E> int drain(
      BlockingQueue<E> q,
      Collection<? super E> buffer,
      int numElements,
      long timeout,
      TimeUnit unit)
      throws InterruptedException {
    Preconditions.checkNotNull(buffer);