* instance. This method is guaranteed to only be called once.
   *
   * <p>By default this returns a new {@link ScheduledExecutorService} with a single thread pool
   * that sets the name of the thread to the {@linkplain #serviceName() service name}. Also, the
   * pool will be {@linkplain ScheduledExecutorService#shutdown() shut down} when the service
   * {@linkplain Service.State#TERMINATED terminates} or {@linkplain Service.State#TERMINATED

      MockResponse
        .Builder()
        .body("This connection won't pool properly")
        .onResponseEnd(ShutdownConnection)
        .build(),
    )
  }

  @Test
  fun serverShutdownInput() {
    testServerClosesOutput(
      MockResponse
        .Builder()
        .body("This connection won't pool properly")
        .onResponseEnd(
          CloseSocket(

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

		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
		}

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

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

// metacacheReader allows reading a cache stream.

  // 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);

            [47925](https://github.com/tensorflow/tensorflow/pull/47925).
        *   `tf.image.crop_and_resize` gradient w.r.t. either `image` or
            `boxes`. See PR
            [48905](https://github.com/tensorflow/tensorflow/pull/48905).
        *   `tf.sparse.sparse_dense_matmul` forwards. See PR
            [50355](https://github.com/tensorflow/tensorflow/pull/50355).

## Security

	TranslateError bool
	// PropagateUnscoped propagate Unscoped to every other nested statement
	PropagateUnscoped bool

	// ClauseBuilders clause builder
	ClauseBuilders map[string]clause.ClauseBuilder
	// ConnPool db conn pool
	ConnPool ConnPool
	// Dialector database dialector
	Dialector
	// Plugins registered plugins
	Plugins map[string]Plugin

	callbacks  *callbacks
	cacheStore *sync.Map
}

  }

  /**
   * We had a bug where web socket connections were leaked if the HTTP connection upgrade was not
   * successful. This test confirms that connections are released back to the connection pool!
   * https://github.com/square/okhttp/issues/4258
   */
  @Test
  @Throws(Exception::class)
  fun webSocketConnectionIsReleased() {
    // This test assumes HTTP/1.1 pooling semantics.
    client =

      <!--
      We moved away from using dependencyManagement for test-only deps because of https://github.com/google/guava/issues/6654.
      We could probably have resumed it after https://github.com/google/guava/pull/6664.
      But it's always weird that published poms reference test-only libraries at all, so I'm not in any rush to do so.
      -->
    </dependencies>
  </dependencyManagement>
  <profiles>
    <profile>