continue
				case <-doneCh:
					return
				}
			}
		}
	}()

	return nil
}

// NumSubscribers returns the number of current subscribers,
// The mask is checked against the active subscribed types,
// and 0 will be returned if nobody is subscribed for the type(s).
func (ps *PubSub[T, M]) NumSubscribers(mask M) int32 {
	types := Mask(atomic.LoadUint64(&ps.types))
	if !types.Overlaps(Mask(mask.Mask())) {

	userQuery := "SELECT .*user.*id.*user.*created_at.*user.*updated_at.*user.*deleted_at.*user.*name.*user.*age" +
		".*user.*birthday.*user.*company_id.*user.*manager_id.*user.*active.* "

	r := dryDB.Table("`user`").Find(&User{}).Statement
	if !regexp.MustCompile(userQuery + "FROM `user`").MatchString(r.Statement.SQL.String()) {
		t.Errorf("Table with escape character, got %v", r.Statement.SQL.String())

pkg syscall (openbsd-386), type Stat_t struct, Lspare0 int32
pkg syscall (openbsd-386), type Stat_t struct, Lspare1 int32
pkg syscall (openbsd-386), type Stat_t struct, Qspare [2]int64
pkg syscall (openbsd-386), type Statfs_t struct, F_ctime uint32
pkg syscall (openbsd-386), type Statfs_t struct, F_spare [3]uint32
pkg syscall (openbsd-386), type Timespec struct, Sec int32
pkg syscall (openbsd-386), type Timeval struct, Sec int32

- Continue with the backup job creation.  On the Summary screen, check the Run the Job when I click Finish checkbox and click the Finish button. The backup job will start immediately.  This will create an Active Full backup of the VMs within the backup job.

- Since we selected Copy mode when creating the SOBR, the backup will be copied to the capacity tier as soon as it is created on the performance tier.

}

// Store returns any underlying store if set.
func (target *ElasticsearchTarget) Store() event.TargetStore {
	return target.store
}

// IsActive - Return true if target is up and active
func (target *ElasticsearchTarget) IsActive() (bool, error) {
	if err := target.init(); err != nil {
		return false, err
	}
	return target.isActive()
}

          "interval": "1m",
          "intervalFactor": 2,
          "legendFormat": "{{server}}",
          "refId": "A"
        }
      ],
      "title": "Avg. Active Workers",
      "type": "timeseries"
    },
    {
      "datasource": {
        "type": "prometheus",
        "uid": "${DS_PROMETHEUS}"
      },
      "fieldConfig": {
        "defaults": {

	"github.com/minio/minio-go/v7/pkg/s3utils"
	"github.com/minio/minio-go/v7/pkg/set"
	"github.com/minio/minio/internal/grid"
	xnet "github.com/minio/pkg/v3/net"

	"github.com/minio/minio/internal/amztime"
	"github.com/minio/minio/internal/config/dns"
	"github.com/minio/minio/internal/crypto"
	xhttp "github.com/minio/minio/internal/http"
	"github.com/minio/minio/internal/logger"
	"github.com/minio/minio/internal/mcontext"

				if err != nil {
					err = msgp.WrapError(err, "Parts", za0003)
					return
				}
			}
		case "AccTime":
			z.AccTime, bts, err = msgp.ReadTimeBytes(bts)
			if err != nil {
				err = msgp.WrapError(err, "AccTime")
				return
			}
		case "Legacy":
			z.Legacy, bts, err = msgp.ReadBoolBytes(bts)
			if err != nil {
				err = msgp.WrapError(err, "Legacy")

            cache.put(key, list);
        }
        return list;
    }

    /**
     * Filter out whitelisted projects with a big twist:
     * Assume we have all projects {@code a, b, c} while active are {@code a, c} and relation among all projects
     * is {@code a -> b -> c}. This method handles well the case for transitive list. But, for non-transitive we need

  // Maps from name of an operation to the Node* in 'graph'.
  std::unordered_map<tensorflow::string, tensorflow::Node*> name_map
      TF_GUARDED_BY(mu);

  // The keys of this map are all the active sessions using this graph. Each
  // value records whether the graph has been mutated since the corresponding
  // session has been run (this is detected in RecordMutation function). If the