}

func writeAllMetadataWithRevert(ctx context.Context, disks []StorageAPI, origbucket, bucket, prefix string, files []FileInfo, quorum int, revert bool) ([]StorageAPI, error) {
	g := errgroup.WithNErrs(len(disks))

	// Start writing `xl.meta` to all disks in parallel.
	for index := range disks {
		g.Go(func() error {
			if disks[index] == nil {
				return errDiskNotFound
			}

	values := make(url.Values)
	values.Set(peerRESTMetricsTypes, strconv.FormatUint(uint64(t), 10))
	for disk := range opts.disks {
		values.Add(peerRESTDisk, disk)
	}
	for host := range opts.hosts {
		values.Add(peerRESTHost, host)
	}
	values.Set(peerRESTJobID, opts.jobID)
	values.Set(peerRESTDepID, opts.depID)

* fix issue: fail to detach azure disk when there is server side error ([#74398](https://github.com/kubernetes/kubernetes/pull/74398), [@andyzhangx](https://github.com/andyzhangx))
* fix parse devicePath issue on Azure Disk ([#74499](https://github.com/kubernetes/kubernetes/pull/74499), [@andyzhangx](https://github.com/andyzhangx))

			return
		}

		writeCustomErrorResponseJSON(ctx, w, errorCodes.ToAPIErr(ErrAdminConfigBadJSON), err.Error(), r.URL)
		return
	}

	// Update the actual server config on disk.
	if err = saveServerConfig(ctx, objectAPI, cfg); err != nil {
		writeErrorResponseJSON(ctx, w, toAdminAPIErr(ctx, err), r.URL)
		return
	}

	// Write to the config input KV to history.

When loading untrusted serialized computation graphs (in form of a `GraphDef`,
`SavedModel`, or equivalent on-disk format), the set of computation primitives
available to TensorFlow is powerful enough that you should assume that the
TensorFlow process effectively executes arbitrary code.

The risk of loading untrusted checkpoints depends on the code or graph that you

attempt either succeeded or failed respectively. On the destination side, a `X-Amz-Replication-Status` status of `REPLICA` indicates that the object was replicated successfully. Any replication failures are automatically re-attempted during a periodic disk scanner cycle.

To perform bi-directional replication, repeat the above process on the target site - this time setting the source bucket as the replication target. It is recommended that replication be run in a system with at least two CPU's...

	for k, v := range b.cachesRoot {
		tmp := make([]string, len(v))
		copy(tmp, v)
		dst2[k] = tmp
	}

	return dst, dst2
}

// deleteAll will delete all on disk data for ALL caches.
// Deletes are performed concurrently.
func (b *bucketMetacache) deleteAll() {
	ctx := context.Background()

	objAPI := newObjectLayerFn()
	if objAPI == nil {
		return
	}

    /** No mapping between account names and security IDs was done */
    int NT_STATUS_NONE_MAPPED = 0xC0000073;
    /** The security ID structure is invalid */
    int NT_STATUS_INVALID_SID = 0xC0000078;
    /** The disk is full */
    int NT_STATUS_DISK_FULL = 0xC000007f;
    /** Insufficient resources are available to complete the request */
    int NT_STATUS_INSUFFICIENT_RESOURCES = 0xC000009a;

	updatedRules := make(map[string]lifecycle.Rule, len(bucketLifecycle.Rules))
	for _, rule := range bucketLifecycle.Rules {
		updatedRules[rule.ID] = rule
	}

	// Get list of rules for the bucket from disk
	meta, err := globalBucketMetadataSys.GetConfigFromDisk(ctx, bucket)
	if err != nil {
		writeErrorResponse(ctx, w, toAPIError(ctx, err), r.URL)
		return
	}
	expiryRuleRemoved := false

  exit 1
fi

# "TFCI_MACOS_BAZEL_TEST_DIR_PATH" specifies the directory that Bazel should use
# when running tests. Each test will be executed in a separate subdirectory
# inside this directory. TF Mac builds need ~150 GB of disk space to be able to
# run all the tests. Since TFCI Mac VMs execute Bazel test commands in a
# partition with insufficient storage, we specify the
# 'TFCI_MACOS_BAZEL_TEST_DIR_PATH' environment variable to point to a partition