async def needy_dependency(fresh_value: str = Depends(get_value, use_cache=False)):
    return {"fresh_value": fresh_value}
```

////

## Zusammenfassung

Abgesehen von all den ausgefallenen Wörtern, die hier verwendet werden, ist das **Dependency Injection**-System recht simpel.

Einfach Funktionen, die genauso aussehen wie *Pfadoperation-Funktionen*.

                } catch( IOException ioe ) {
                    ioe.printStackTrace( log );
                }
            }
        }
    }

    /* Build a connection. Only one thread will ever call this method at
     * any one time. If this method throws an exception or the connect timeout
     * expires an encapsulating TransportException will be thrown from connect
     * and the transport will be in error.

question, it didn't much matter which way she put it.  She felt
that she was dozing off, and had just begun to dream that she
was walking hand in hand with Dinah, and saying to her very
earnestly, `Now, Dinah, tell me the truth:  did you ever eat a
bat?' when suddenly, thump! thump! down she came upon a heap of
sticks and dry leaves, and the fall was over.

  Alice was not a bit hurt, and she jumped up on to her feet in a

  /** Though this executor service may hold many threads, they are not executed concurrently. */
  private val tasksExecutor = Executors.newCachedThreadPool(threadFactory("TaskFaker"))

  /**
   * True if this task faker has ever had multiple tasks scheduled to run concurrently. Guarded by
   * [TaskRunner.lock].
   */
  var isParallel = false

  /** Number of calls to [TaskRunner.Backend.execute]. Guarded by [TaskRunner.lock]. */

import java.util.logging.Level;
import javax.annotation.CheckForNull;

/**
 * Executor ensuring that all Runnables submitted are executed in order, using the provided
 * Executor, and sequentially such that no two will ever be running at the same time.
 *
 * <p>Tasks submitted to {@link #execute(Runnable)} are executed in FIFO order.
 *
 * <p>The execution of tasks is done by one thread as long as there are tasks left in the queue.

import java.util.logging.Level;
import javax.annotation.CheckForNull;

/**
 * Executor ensuring that all Runnables submitted are executed in order, using the provided
 * Executor, and sequentially such that no two will ever be running at the same time.
 *
 * <p>Tasks submitted to {@link #execute(Runnable)} are executed in FIFO order.
 *
 * <p>The execution of tasks is done by one thread as long as there are tasks left in the queue.

      }
    }
  }

  private fun ensureAllTaskQueuesIdle() {
    val entryTime = System.nanoTime()

    for (queue in TaskRunner.INSTANCE.activeQueues()) {
      // We wait at most 1 second, so we don't ever turn multiple lost threads into
      // a test timeout failure.
      val waitTime = (entryTime + 1_000_000_000L - System.nanoTime())
      if (!queue.idleLatch().await(waitTime, TimeUnit.NANOSECONDS)) {

		// https://docs.aws.amazon.com/AmazonS3/latest/API/API_HeadObject.html#API_HeadObject_ResponseSyntax
		w.Header()[xhttp.AmzStorageClass] = []string{filterStorageClass(ctx, objInfo.TransitionedObject.Tier)}
	}

	if lc, err := globalLifecycleSys.Get(objInfo.Bucket); err == nil {
		lc.SetPredictionHeaders(w, objInfo.ToLifecycleOpts())
	}

	if v, ok := objInfo.UserDefined[ReservedMetadataPrefix+"compression"]; ok {

}

func stsLogIf(ctx context.Context, err error, errKind ...interface{}) {
	logger.LogIf(ctx, "sts", err, errKind...)
}

func tierLogIf(ctx context.Context, err error, errKind ...interface{}) {
	logger.LogIf(ctx, "tier", err, errKind...)
}

func kmsLogIf(ctx context.Context, err error, errKind ...interface{}) {
	logger.LogIf(ctx, "kms", err, errKind...)
}

// KMSLogger permits access to kms module specific logging

   */
  protected AbstractStreamingHasher(int chunkSize, int bufferSize) {
    // TODO(kevinb): check more preconditions (as bufferSize >= chunkSize) if this is ever public
    checkArgument(bufferSize % chunkSize == 0);

    // TODO(user): benchmark performance difference with longer buffer
    // always space for a single primitive