cache.iamSTSPolicyMap.Store(k, v)
			return true
		})

		cache.updatedAt = time.Now()
	}

	return nil
}

// IAMStoreSys contains IAMStorageAPI to add higher-level methods on the storage
// layer.
type IAMStoreSys struct {
	IAMStorageAPI

	group  *singleflight.Group
	policy *singleflight.Group
}

// HasWatcher - returns if the storage system has a watcher.

## Changelog since v1.23.11

## Changes by Kind

### Bug or Regression

- Kube-apiserver: gzip compression switched from level 4 to level 1 to improve large list call latencies in exchange for higher network bandwidth usage (10-50% higher). This increases the headroom before very large unpaged list calls exceed request timeout limits. ([#112400](https://github.com/kubernetes/kubernetes/pull/112400), [@shyamjvs](https://github.com/shyamjvs)) [SIG API Machinery]

- ACTION_REQUIRED

- Kube-apiserver: `gzip` compression switched from level 4 to level 1 to improve large list call latencies in exchange for higher network bandwidth usage (10-50% higher). This increases the headroom before very large unpaged list calls exceed request timeout limits. ([#112299](https://github.com/kubernetes/kubernetes/pull/112299), [@shyamjvs](https://github.com/shyamjvs))

		globalReplicationPool.Get().queueReplicaTask(roi)
	}
	return roi
}

const (
	mrfSaveInterval  = 5 * time.Minute
	mrfQueueInterval = mrfSaveInterval + time.Minute // A minute higher than save interval

	mrfRetryLimit = 3 // max number of retries before letting scanner catch up on this object version
	mrfMaxEntries = 1000000
)

func (p *ReplicationPool) persistMRF() {

- 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),...

      return map().floorKey(e);
    }

    @Override
    public @Nullable K ceiling(@ParametricNullness K e) {
      return map().ceilingKey(e);
    }

    @Override
    public @Nullable K higher(@ParametricNullness K e) {
      return map().higherKey(e);
    }

    @Override
    public @Nullable K pollFirst() {
      return keyOrNull(map().pollFirstEntry());
    }

    @Override

      return map().floorKey(e);
    }

    @Override
    public @Nullable K ceiling(@ParametricNullness K e) {
      return map().ceilingKey(e);
    }

    @Override
    public @Nullable K higher(@ParametricNullness K e) {
      return map().higherKey(e);
    }

    @Override
    public @Nullable K pollFirst() {
      return keyOrNull(map().pollFirstEntry());
    }

    @Override

pkg syscall (freebsd-386), const SIGTHR Signal
pkg syscall (freebsd-386), const SIGTSTP Signal
pkg syscall (freebsd-386), const SIGTTIN Signal
pkg syscall (freebsd-386), const SIGTTOU Signal
pkg syscall (freebsd-386), const SIGURG Signal
pkg syscall (freebsd-386), const SIGUSR1 Signal
pkg syscall (freebsd-386), const SIGUSR2 Signal
pkg syscall (freebsd-386), const SIGVTALRM Signal

    *   Expose `tf.distribute.Strategy as the new name for
        tf.contrib.distribute.DistributionStrategy.
    *   Migrate linear optimizer from contrib to core.
    *   Move `tf.contrib.signal` to `tf.signal` (preserving aliases in
        tf.contrib.signal).
    *   Users of `tf.contrib.estimator.export_all_saved_models` and related
        should switch to
        `tf.estimator.Estimator.experimental_export_all_saved_models`.
*   tf.data: