opts.VersionID = oi.VersionID
	}
	tags := newLifecycleAuditEvent(src, lcEvent).Tags()
	if lcEvent.Action.DeleteRestored() {
		// delete locally restored copy of object or object version
		// from the source, while leaving metadata behind. The data on
		// transitioned tier lies untouched and still accessible
		opts.Transition.ExpireRestored = true
		_, err := objectAPI.DeleteObject(ctx, oi.Bucket, oi.Name, opts)
		if err == nil {

   * <p>Unlike {@link Double#parseDouble(String)}, this method returns {@code null} instead of
   * throwing an exception if parsing fails. Valid inputs are exactly those accepted by {@link
   * Double#valueOf(String)}, except that leading and trailing whitespace is not permitted.
   *
   * <p>This implementation is likely to be faster than {@code Double.parseDouble} if many failures
   * are expected.
   *

    testRotate(new float[] {1}, 0, 0, 1, new float[] {1});
    testRotate(new float[] {1}, 1, 0, 1, new float[] {1});
    testRotate(new float[] {1}, 1, 1, 1, new float[] {1});

    // Rotate the central 5 elements, leaving the ends as-is
    testRotate(new float[] {0, 1, 2, 3, 4, 5, 6}, -6, 1, 6, new float[] {0, 2, 3, 4, 5, 1, 6});
    testRotate(new float[] {0, 1, 2, 3, 4, 5, 6}, -1, 1, 6, new float[] {0, 2, 3, 4, 5, 1, 6});

    testRotate(new int[] {1}, 0, 0, 1, new int[] {1});
    testRotate(new int[] {1}, 1, 0, 1, new int[] {1});
    testRotate(new int[] {1}, 1, 1, 1, new int[] {1});

    // Rotate the central 5 elements, leaving the ends as-is
    testRotate(new int[] {0, 1, 2, 3, 4, 5, 6}, -6, 1, 6, new int[] {0, 2, 3, 4, 5, 1, 6});
    testRotate(new int[] {0, 1, 2, 3, 4, 5, 6}, -1, 1, 6, new int[] {0, 2, 3, 4, 5, 1, 6});

    testRotate(new float[] {1}, 0, 0, 1, new float[] {1});
    testRotate(new float[] {1}, 1, 0, 1, new float[] {1});
    testRotate(new float[] {1}, 1, 1, 1, new float[] {1});

    // Rotate the central 5 elements, leaving the ends as-is
    testRotate(new float[] {0, 1, 2, 3, 4, 5, 6}, -6, 1, 6, new float[] {0, 2, 3, 4, 5, 1, 6});
    testRotate(new float[] {0, 1, 2, 3, 4, 5, 6}, -1, 1, 6, new float[] {0, 2, 3, 4, 5, 1, 6});

 * possible over their JDK equivalents whenever you are expecting to handle only IP address string
 * literals -- there is no blocking DNS penalty for a malformed string.
 *
 * <p>When dealing with {@link Inet4Address} and {@link Inet6Address} objects as byte arrays (vis.
 * {@code InetAddress.getAddress()}) they are 4 and 16 bytes in length, respectively, and represent
 * the address in network byte order.
 *

Si tu aplicación es **simple**, probablemente esto **no será un problema**, y puede que no necesites especificar límites de memoria estrictos. Pero si estás **usando mucha memoria** (por ejemplo, con modelos de **Machine Learning**), deberías verificar cuánta memoria estás consumiendo y ajustar el **número de contenedores** que se ejecutan en **cada máquina** (y tal vez agregar más máquinas a tu cluster).

type dataUsageCacheInfo struct {
	// Name of the bucket. Also root element.
	Name       string
	NextCycle  uint32
	LastUpdate time.Time
	// indicates if the disk is being healed and scanner
	// should skip healing the disk
	SkipHealing bool

	// Active lifecycle, if any on the bucket
	lifeCycle *lifecycle.Lifecycle `msg:"-"`

	// optional updates channel.
	// If set updates will be sent regularly to this channel.

## Changelog since v1.10.1

### Other notable changes

* kubeadm upgrade no longer races leading to unexpected upgrade behavior on pod restarts ([#62655](https://github.com/kubernetes/kubernetes/pull/62655), [@stealthybox](https://github.com/stealthybox))

If your application is **simple**, this will probably **not be a problem**, and you might not need to specify hard memory limits. But if you are **using a lot of memory** (for example with **machine learning** models), you should check how much memory you are consuming and adjust the **number of containers** that runs in **each machine** (and maybe add more machines to your cluster).