// MakeVol - create a volume on a remote disk.
func (client *storageRESTClient) MakeVol(ctx context.Context, volume string) (err error) {
	return errInvalidArgument
}

// ListVols - List all volumes on a remote disk.
func (client *storageRESTClient) ListVols(ctx context.Context) (vols []VolInfo, err error) {
	return nil, errInvalidArgument
}

// StatVol - get volume info over the network.

func TestXLStorageListVols(t *testing.T) {
	// create xlStorage test setup
	xlStorage, path, err := newXLStorageTestSetup(t)
	if err != nil {
		t.Fatalf("Unable to create xlStorage test setup, %s", err)
	}

	var volInfos []VolInfo
	// TestXLStorage empty list vols.
	if volInfos, err = xlStorage.ListVols(t.Context()); err != nil {

		return err
	}

	// Stat succeeds we return errVolumeExists.
	return errVolumeExists
}

// ListVols - list volumes.
func (s *xlStorage) ListVols(ctx context.Context) (volsInfo []VolInfo, err error) {
	return listVols(ctx, s.drivePath)
}

// List all the volumes from drivePath.
func listVols(ctx context.Context, dirPath string) ([]VolInfo, error) {
	if err := checkPathLength(dirPath); err != nil {

	for index := range storageDisks {
		g.Go(func() error {
			if storageDisks[index] == nil {
				// we ignore disk not found errors
				return nil
			}
			volsInfo, err := storageDisks[index].ListVols(ctx)
			if err != nil {
				return err
			}

			for _, volInfo := range volsInfo {
				// StorageAPI can send volume names which are
				// incompatible with buckets - these are

	if err != nil {
		writeErrorResponseJSON(ctx, w, toAdminAPIErr(ctx, err), r.URL)
		return
	}

	adminLogIf(r.Context(), json.NewEncoder(w).Encode(&status))
}

func (a adminAPIHandlers) ListPools(w http.ResponseWriter, r *http.Request) {
	ctx := r.Context()

	objectAPI, _ := validateAdminReq(ctx, w, r, policy.ServerInfoAdminAction, policy.DecommissionAdminAction)
	if objectAPI == nil {
		return
	}

        ML authoring is generally discouraged.
    *   Add support for unsigned 16-bit integer tensor types in cast op.
    *   Experimental support for lowering `list_ops.tensor_list_set_item` with
        `DynamicUpdateSlice`.
    *   Enabled a new MLIR-based dynamic range quantization backend by default
        *   The new backend is used for post-training int8 dynamic range