if gerr.Err != nil || tags == nil {
					globalReplicationStats.Load().incProxy(bucket, getObjectTaggingAPI, true)
					writeErrorResponse(ctx, w, toAPIError(ctx, gerr.Err), r.URL)
					return
				} // overlay tags from peer site.
				ot = tags
				w.Header()[xhttp.MinIOTaggingProxied] = []string{"true"} // indicate that the request was proxied.
			} else {
				writeErrorResponse(ctx, w, toAPIError(ctx, err), r.URL)

		cacheInterval:    1 * time.Minute,
		metricsGroupOpts: opts,
	}
	mg.RegisterRead(func(_ context.Context) []MetricV2 {
		ml := []MetricV2{}

		// metrics pertinent to site replication - overall roll up.
		if globalSiteReplicationSys.isEnabled() {
			m, err := globalSiteReplicationSys.getSiteMetrics(GlobalContext)
			if err != nil {
				metricsLogIf(GlobalContext, err)
				return ml
			}

* Fix base image pinning during upgrades via cluster/gce/upgrade.sh ([#33147](https://github.com/kubernetes/kubernetes/pull/33147), [@vishh](https://github.com/vishh))
* Remove the flannel experimental overlay ([#33862](https://github.com/kubernetes/kubernetes/pull/33862), [@luxas](https://github.com/luxas))

- Made legacy watch calls (`ResourceVersion` = 0 or unset) that generate init-events weigh higher in `API Priority and Fairness (APF)` seat usage. Properly accounting for their cost protects the API server from CPU overload. Users might see increased throttling of such calls as a result. ([#134601](https://github.com/kubernetes/kubernetes/pull/134601), [@shyamjvs](https://github.com/shyamjvs))

- Overall, enable the feature of `PreferNominatedNode` will  improve the performance of scheduling where preemption might frequently happen, but in theory, enable the feature of `PreferNominatedNode`, the pod might not be scheduled to the best candidate node...

- Previously, when trying to allocate devices through DRA for a node timed out, scheduling would proceed with another node if any had the necessary resources. This potentially hid that a node was ignored. Worse, if scheduling was slow overall, the pod was incorrectly moved to "unschedulable" and only retried after a periodic sweep. Now timeouts are errors that are always visible as pod scheduling failures and get retried with per-pod exponential backoff. ([#137607](https://github.com/...

    }

    int segmentSize = 1;
    while (segmentSize < segmentCapacity) {
      segmentSize <<= 1;
    }

    if (evictsBySize()) {
      // Ensure sum of segment max weights = overall max weights
      long maxSegmentWeight = maxWeight / segmentCount + 1;
      long remainder = maxWeight % segmentCount;
      for (int i = 0; i < this.segments.length; ++i) {
        if (i == remainder) {

            WebSocketRequestValidationError,
            websocket_request_validation_exception_handler,  # type: ignore[arg-type]  # ty: ignore[unused-ignore-comment]
        )  # ty: ignore[no-matching-overload]

        self.user_middleware: list[Middleware] = (
            [] if middleware is None else list(middleware)
        )
        self.middleware_stack: ASGIApp | None = None
        self.setup()

    }

    int segmentSize = 1;
    while (segmentSize < segmentCapacity) {
      segmentSize <<= 1;
    }

    if (evictsBySize()) {
      // Ensure sum of segment max weights = overall max weights
      long maxSegmentWeight = maxWeight / segmentCount + 1;
      long remainder = maxWeight % segmentCount;
      for (int i = 0; i < this.segments.length; ++i) {
        if (i == remainder) {

        *   Removed the `tensors()` method and the non-const overload of the
            `nodes_and_registration()` method, both of which were previously
            documented as temporary and to be removed.
            *   Uses of `tensors()` can be replaced by calling the existing
                methods `tensors_size()` and `tensor(int)`.
            *   Uses of the non-const overload of `nodes_and_registration` can