"Total cluster objects count")
	usageVersionsCountMD = NewGaugeMD(usageVersionsCount,
		"Total cluster object versions (including delete markers) count")
	usageDeleteMarkersCountMD = NewGaugeMD(usageDeleteMarkersCount,
		"Total cluster delete markers count")
	usageBucketsCountMD = NewGaugeMD(usageBucketsCount,
		"Total cluster buckets count")
	usageObjectsDistributionMD = NewGaugeMD(usageSizeDistribution,

HSPLkotlinx/coroutines/scheduling/CoroutineScheduler$Worker;->nextInt(I)I
HSPLkotlinx/coroutines/scheduling/CoroutineScheduler$Worker;->pollGlobalQueues()Lkotlinx/coroutines/scheduling/Task;
HSPLkotlinx/coroutines/scheduling/CoroutineScheduler$Worker;->run()V
HSPLkotlinx/coroutines/scheduling/CoroutineScheduler$Worker;->setIndexInArray(I)V
HSPLkotlinx/coroutines/scheduling/CoroutineScheduler$Worker;->setNextParkedWorker(Ljava/lang/Object;)V

```console
$ pip install "hypercorn[trio]"
---> 100%
```

</div>

### Mit Trio ausführen

Dann können Sie die Befehlszeilenoption `--worker-class` mit dem Wert `trio` übergeben:

<div class="termy">

```console
$ hypercorn main:app --worker-class trio
```

</div>

Und das startet Hypercorn mit Ihrer Anwendung und verwendet Trio als Backend.

```console
$ pip install "hypercorn[trio]"
---> 100%
```

</div>

### Exécuter avec Trio

Ensuite, vous pouvez passer l'option de ligne de commande `--worker-class` avec la valeur `trio` :

<div class="termy">

```console
$ hypercorn main:app --worker-class trio
```

</div>

Et cela démarrera Hypercorn avec votre application en utilisant Trio comme backend.

  }

  /**
   * Creates an empty {@code TreeBasedTable} that is ordered by the specified comparators.
   *
   * @param rowComparator the comparator that orders the row keys
   * @param columnComparator the comparator that orders the column keys
   */
  public static <R, C, V> TreeBasedTable<R, C, V> create(
      Comparator<? super R> rowComparator, Comparator<? super C> columnComparator) {

## NOTE

- Empty delete markers (such as for objects with no other successor versions) do not transition to the new pool to avoid creating empty metadata on the other pool(s). If you believe transitioning empty delete markers is required, open a GitHub issue.

## TODO

- Enabled `kube-controller-manager` to support '--concurrent-horizontal-pod-autoscaler-syncs' flag to set the number of horizontal pod autoscaler controller workers. ([#108501](https://github.com/kubernetes/kubernetes/pull/108501), [@zroubalik](https://github.com/zroubalik))

		t.Errorf("Failed to query saved association")
	}

	orders := []Order{{Num: "order1", Coupon: coupon}, {Num: "order2", Coupon: coupon}}
	if err := DB.Create(&orders).Error; err != nil {
		t.Errorf("failed to create orders, got %v", err)
	}

	coupon2 := Coupon{
		AppliesToProduct: []*CouponProduct{{Desc: "coupon-description"}},
	}

      purge:
          # retainVersions: 0 # (default) delete all versions of the object. This option is the fastest.
          # retainVersions: 5 # keep the latest 5 versions of the object including delete markers.

  notify:
    endpoint: https://notify.endpoint # notification endpoint to receive job completion status
    token: Bearer xxxxx # optional authentication token for the notification endpoint
  
  retry:

> NOTE: Server side replication is supported for idempotent versions on directory objects.

### Idempotent versions on delete markers