}

    @Override
    public ListenableScheduledFuture<?> schedule(Runnable command, long delay, TimeUnit unit) {
      TrustedListenableFutureTask<@Nullable Void> task =
          TrustedListenableFutureTask.create(command, null);
      ScheduledFuture<?> scheduled = delegate.schedule(task, delay, unit);
      return new ListenableScheduledTask<@Nullable Void>(task, scheduled);
    }

    @Override

labels.pagination_page_guide_msg={0}/{1} ({2} items)
labels.list_could_not_find_crud_table=Not registered.
labels.scheduledjob_configuration=Job Scheduler
labels.scheduledjob_title_details=Job
labels.scheduledjob_name=Name
labels.scheduledjob_target=Target
labels.scheduledjob_status=Status
labels.scheduledjob_cronExpression=Schedule
labels.scheduledjob_scriptType=Execution Method
labels.scheduledjob_scriptData=Script
labels.scheduledjob_jobLogging=Logging

    /**
     * Shutdown the directory lease manager
     */
    public void shutdown() {
        scheduler.shutdown();
        try {
            if (!scheduler.awaitTermination(5, TimeUnit.SECONDS)) {
                scheduler.shutdownNow();
            }
        } catch (InterruptedException e) {
            scheduler.shutdownNow();
            Thread.currentThread().interrupt();
        }

   * addListener/SES.schedule. The later racy write in cancel() is not guaranteed to be observed,
   * however that is fine since the correctness is based on the atomic state in our base class. The
   * initial write to timer is never definitely visible to Fire.run since it is assigned after
   * SES.schedule is called. Therefore Fire.run has to check for null. However, it should be visible

            log.error("Failed to create handle state directory: " + stateDirectory, e);
        }

        // Load persisted handles on startup
        loadPersistedHandles();

        // Schedule periodic persistence and cleanup
        scheduler.scheduleAtFixedRate(this::periodicMaintenance, 30, 30, TimeUnit.SECONDS);
    }

    /**
     * Request a new durable handle
     * @param path the file path
     * @param type the handle type

```
λ mc admin decommission status alias/ http://minio{1...2}/data{1...4}
ERROR: This pool is not scheduled for decommissioning currently.
```

## Canceling a decommission

Stop an on-going decommission in progress, mainly used in situations when the load may be too high and you may want to schedule the decommission at a later point in time.

    *   Keras inputs can now be created directly from arbitrary `tf.TypeSpecs`.
    *   Two new learning rate schedules added:
        `tf.keras.optimizers.schedules.CosineDecay`
        and`tf.keras.optimizers.schedules.CosineDecayRestarts`.

*   `tf.data`:

    *   Exposing `tf.data.experimental.ExternalStatePolicy`, which can be used

   * This counter prevents an ABA issue where a thread may successfully schedule the worker, the
   * worker runs and exhausts the queue, another thread enqueues a task and fails to schedule the
   * worker, and then the first thread's call to delegate.execute() returns. Without this counter,
   * it would observe the QUEUING state and set it to QUEUED, and the worker would never be
   * scheduled again for future submissions.
   */
  @GuardedBy("queue")

   * This counter prevents an ABA issue where a thread may successfully schedule the worker, the
   * worker runs and exhausts the queue, another thread enqueues a task and fails to schedule the
   * worker, and then the first thread's call to delegate.execute() returns. Without this counter,
   * it would observe the QUEUING state and set it to QUEUED, and the worker would never be
   * scheduled again for future submissions.
   */
  @GuardedBy("queue")

/docker/k8s-artifacts-prod/southamerica-east1/images/kube-scheduler) | [amd64](https://console.cloud.google.com/artifacts/docker/k8s-artifacts-prod/southamerica-east1/images/kube-scheduler-amd64), [arm64](https://console.cloud.google.com/artifacts/docker/k8s-artifacts-prod/southamerica-east1/images/kube-scheduler-arm64), [ppc64le](https://console.cloud.google.com/artifacts/docker/k8s-artifacts-prod/southamerica-east1/images/kube-scheduler-ppc64le), [s390x](https://console.cloud.google.com/artifa...