serviceReloadDynamic                      // Reload dynamic config values.
	serviceFreeze                             // Freeze all S3 API calls.
	serviceUnFreeze                           // Un-Freeze previously frozen S3 API calls.
	// Add new service requests here.
)

// Global service signal channel.
var globalServiceSignalCh = make(chan serviceSignal)

	}
	return sys.collectPeerMetrics(ctx, peerChannels, g)
}

// ServiceFreeze freezes all S3 API calls when 'freeze' is true,
// 'freeze' is 'false' would resume all S3 API calls again.
// NOTE: once a tenant is frozen either two things needs to
// happen before resuming normal operations.
//   - Server needs to be restarted 'mc admin service restart'
//   - 'freeze' should be set to 'false' for this call

// Supports following actions:
// - restart (restarts all the MinIO instances in a setup)
// - stop (stops all the MinIO instances in a setup)
// - freeze (freezes all incoming S3 API calls)
// - unfreeze (unfreezes previously frozen S3 API calls)
func (a adminAPIHandlers) ServiceHandler(w http.ResponseWriter, r *http.Request) {
	ctx := r.Context()

	vars := mux.Vars(r)
	action := vars["action"]

	var serviceSig serviceSignal

In vielen Fällen kennen Sie möglicherweise bereits die Antwort auf diese Fragen. 🤓

Wenn Sie vielen Menschen bei ihren Fragen helfen, werden Sie offizieller [FastAPI-Experte](fastapi-people.md#experten){.internal-link target=_blank}. 🎉

    }
  }

  public void testBroken() {
    Iterator<Object> broken = new BrokenAbstractSequentialIterator();
    assertTrue(broken.hasNext());
    // We can't retrieve even the known first element:
    try {
      broken.next();
      fail();
    } catch (MyException expected) {
    }
    try {
      broken.next();
      fail();
    } catch (MyException expected) {
    }
  }

{% endfor %}

</div>
{% endif %}

## Experten

Hier die **FastAPI-Experten**. 🤓

Das sind die Benutzer, die *insgesamt* [anderen am meisten mit Fragen auf GitHub geholfen haben](help-fastapi.md#anderen-bei-fragen-auf-github-helfen){.internal-link target=_blank}.

    }
  }

  public void testBroken() {
    Iterator<Object> broken = new BrokenAbstractSequentialIterator();
    assertTrue(broken.hasNext());
    // We can't retrieve even the known first element:
    try {
      broken.next();
      fail();
    } catch (MyException expected) {
    }
    try {
      broken.next();
      fail();
    } catch (MyException expected) {
    }
  }

      # This defines the action the controller will take when a pod is detected as broken.

      # labelPods will label all pods with <brokenPodLabelKey>=<brokenPodLabelValue>.
      # This is only capable of identifying broken pods; the user is responsible for fixing them (generally, by deleting them).

	})
	if err != nil {
		c.events.Write(pod, corev1.EventTypeWarning, ReasonDeleteBrokenPod, "pod detected as broken, but failed to delete: %v", err)
		m.With(resultLabel.Value(resultFail)).Increment()
		return err
	}
	c.events.Write(pod, corev1.EventTypeWarning, ReasonDeleteBrokenPod, "pod detected as broken, deleted")
	m.With(resultLabel.Value(resultSuccess)).Increment()
	return nil
}

    to the layer came from a keras input.
*   Clean up `BatchNormalization` layer's `trainable` property to act like
    standard python state when it's used inside `tf.functions` (frozen at
    tracing time), instead of acting like a pseudo-variable whose updates *kind
    of sometimes* get reflected in already-traced `tf.function` traces.
*   Add the `Conv1DTranspose` layer.