// +optional
  optional GroupVersionForDiscovery preferredVersion = 3;

  // a map of client CIDR to server address that is serving this group.
  // This is to help clients reach servers in the most network-efficient way possible.
  // Clients can use the appropriate server address as per the CIDR that they match.
  // In case of multiple matches, clients should use the longest matching CIDR.

write to, and a limit on the cache's size. The cache directory should be private, and untrusted applications should not be able to read its contents!

It is an error to have multiple caches accessing the same cache directory simultaneously. Most applications should call `new OkHttpClient()` exactly once, configure it with their cache, and use that same instance everywhere. Otherwise the two cache instances will stomp on each other, corrupt the response cache, and possibly crash your program....

   * is as close as possible to the center of the range [{@code from}, {@code to}]. Choosing the
   * value closest to the center of the range first is the most efficient strategy because it
   * minimizes the size of the subranges from which the remaining selections must be done.
   */
  private static int chooseNextSelection(

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		Object:     object,
		ObjectSize: lfi.Size,
		VersionID:  versionID,
		DiskCount:  len(storageDisks),
	}

	if lfi.IsValid() {
		result.ParityBlocks = lfi.Erasure.ParityBlocks
	} else {
		// Default to most common configuration for erasure blocks.
		result.ParityBlocks = er.defaultParityCount
	}
	result.DataBlocks = len(storageDisks) - result.ParityBlocks

	for index, disk := range storageDisks {
		if disk == nil {

     * than two.)
     *
     * Read operations can thus proceed without locking, but rely on selected uses of volatiles to
     * ensure that completed write operations performed by other threads are noticed. For most
     * purposes, the "count" field, tracking the number of elements, serves as that volatile
     * variable ensuring visibility. This is convenient because this field needs to be read in many
     * read operations anyway:

Pour une opération qui nécessite de l'attente avant de donner un résultat et qui supporte ces nouvelles fonctionnalités Python, vous pouvez l'utiliser comme tel :

```Python
burgers = await get_burgers(2)
```

	}
	for group := range info.GroupStats {
		c.healGroupPolicies(ctx, objAPI, group, info)
	}

	return nil
}

// heal iam policies present on this site to peers, provided current cluster has the most recent update.
func (c *SiteReplicationSys) healPolicies(ctx context.Context, objAPI ObjectLayer, policy string, info srStatusInfo) error {
	// create IAM policy on peer cluster if missing
	ps := info.PolicyStats[policy]

	return setDriveCounts
}

type serverPoolsAvailableSpace []poolAvailableSpace

type poolAvailableSpace struct {
	Index      int
	Available  uint64 // in bytes
	MaxUsedPct int    // Used disk percentage of most filled disk, rounded down.
}

// TotalAvailable - total available space
func (p serverPoolsAvailableSpace) TotalAvailable() uint64 {
	total := uint64(0)
	for _, z := range p {
		total += z.Available
	}

     * than two.)
     *
     * Read operations can thus proceed without locking, but rely on selected uses of volatiles to
     * ensure that completed write operations performed by other threads are noticed. For most
     * purposes, the "count" field, tracking the number of elements, serves as that volatile
     * variable ensuring visibility. This is convenient because this field needs to be read in many
     * read operations anyway: