QUICK_FEEDBACK("Quick Feedback", "Run checks and functional tests (embedded executer, Windows)", "QuickFeedback"),
    PULL_REQUEST_FEEDBACK("Pull Request Feedback", "Run various functional tests", "PullRequestFeedback"),
    READY_FOR_NIGHTLY("Ready for Nightly", "Rerun tests in different environments / 3rd party components", "ReadyforNightly"),

        }
      } finally {
        // Important to null this out here - if we did *not* execute inline, we might still
        // run() on the same thread that called execute() - such as in a thread pool, and think
        // that it was happening inline. As a side benefit, avoids holding on to the Thread object
        // longer than necessary.
        submitting = null;
      }
    }

				return err
			}
			if err := w.mw.Flush(); err != nil {
				return err
			}
			return s2w.Close()
		}
		return nil
	}
}

var s2DecPool = sync.Pool{New: func() interface{} {
	// Default alloc block for network transfer.
	return s2.NewReader(nil, s2.ReaderAllocBlock(16<<10))
}}

// metacacheReader allows reading a cache stream.
type metacacheReader struct {

  // caller of event_mgr->ThenExecute() blocks on the completion of the callback
  // (as in the case of ConstOp kernel creation on GPU, which involves copying a
  // CPU tensor to GPU).
  // Setting a larger thread pool does not help with the Swift caller, as we use
  // a different TFE context for each thread of execution (for running graph
  // functions, and their send/recvs corountines).
  config.set_inter_op_parallelism_threads(1);

    user.connectionConnectEnd(connection, route)

    // If we raced another call connecting to this host, coalesce the connections. This makes for
    // 3 different lookups in the connection pool!
    val pooled3 = routePlanner.planReusePooledConnection(this, routes)
    if (pooled3 != null) return pooled3.connection

    connection.withLock {
      connectionPool.put(connection)

		return
	}

	for _, arg := range args {
		if !ellipses.HasEllipses(arg) && len(args) > 1 {
			// TODO: support SNSD deployments to be decommissioned in future
			return fmt.Errorf("all args must have ellipses for pool expansion (%w) args: %s", errInvalidArgument, args)
		}
		setArgs, err = GetAllSets(setDriveCount, arg)
		if err != nil {
			return err
		}

Another job polls this queue and triggers each client to start a push.

```mermaid
graph TD
    subgraph Config Flow
        cu(Config Update)
        db(Debounce)
        pc(Recompute Push Context)
        pq(Push Queue)

"mais", "me", "meu", "meus", "min", "miña", "miñas", "moi", "na", "nas", "neste", "nin", "no", "non", "nos", "nosa", "nosas", "noso", "nosos", "nós", "nun", "nunha", "nuns", "nunhas", "o", "os", "ou", "ó", "ós", "para", "pero", "pode", "pois", "pola", "polas", "polo", "polos", "por", "que", "se", "senón", "ser", "seu", "seus", "sexa", "sido", "sobre", "súa", "súas", "tamén", "tan", "te", "ten", "teñen", "teño", "ter", "teu", "teus", "ti", "tido", "tiña", "tiven", "túa", "túas", "un", "unha", "unhas", "uns",...

"mais", "me", "meu", "meus", "min", "miña", "miñas", "moi", "na", "nas", "neste", "nin", "no", "non", "nos", "nosa", "nosas", "noso", "nosos", "nós", "nun", "nunha", "nuns", "nunhas", "o", "os", "ou", "ó", "ós", "para", "pero", "pode", "pois", "pola", "polas", "polo", "polos", "por", "que", "se", "senón", "ser", "seu", "seus", "sexa", "sido", "sobre", "súa", "súas", "tamén", "tan", "te", "ten", "teñen", "teño", "ter", "teu", "teus", "ti", "tido", "tiña", "tiven", "túa", "túas", "un", "unha", "unhas", "uns",...

Mit dem Dependency Injection System können Sie **FastAPI** ebenfalls mitteilen, dass Ihre *Pfadoperation-Funktion* von etwas anderem „abhängt“, das vor Ihrer *Pfadoperation-Funktion* ausgeführt werden soll, und **FastAPI** kümmert sich darum, es auszuführen und die Ergebnisse zu „injizieren“.

Andere gebräuchliche Begriffe für dieselbe Idee der „Abhängigkeitsinjektion“ sind:

* Ressourcen
* Provider
* Services