}
    }.apply {
      timeout(client.callTimeoutMillis.toLong(), MILLISECONDS)
    }

  private val executed = AtomicBoolean()

  // These properties are only accessed by the thread executing the call.

  /** Initialized in [callStart]. */
  private var callStackTrace: Any? = null

  /** Finds an exchange to send the next request and receive the next response. */

 private:
  // A sequence of device names, indicating which devices replicated operations
  // are forwarded to.
  const std::vector<std::string> underlying_devices_;
  // A sequence of thread wrappers, one per device, for executing operations in
  // parallel.
  //
  // Conceptually this is a thread pool with one thread per device. It requires
  // less synchronization than a thread pool would for this task, since Execute

     *       thread cleared it, we still know that it's not associated with our thread
     *   <li>If this field's value == null because it was associated with our thread and was
     *       cleared, we know that we're not executing inline any more
     * </ul>
     *
     * All the states where thread != currentThread are identical for our purposes, and so even

}

type ioret[V any] struct {
	val V
	err error
}

// WithDeadline will execute a function with a deadline and return a value of a given type.
// If the deadline/context passes before the function finishes executing,
// the zero value and the context error is returned.
func WithDeadline[V any](ctx context.Context, timeout time.Duration, work func(ctx context.Context) (result V, err error)) (result V, err error) {

    try {
      queue.dispatch();
    } finally {
      logger.removeHandler(logHandler);
    }

    assertEquals(1, logHandler.getStoredLogRecords().size());
    assertEquals(
        "Exception while executing callback: MyListener custom-label",
        logHandler.getStoredLogRecords().get(0).getMessage());
  }

  public void testEnqueueAndDispatch_multithreaded() throws InterruptedException {

    try {
      queue.dispatch();
    } finally {
      logger.removeHandler(logHandler);
    }

    assertEquals(1, logHandler.getStoredLogRecords().size());
    assertEquals(
        "Exception while executing callback: MyListener custom-label",
        logHandler.getStoredLogRecords().get(0).getMessage());
  }

  public void testEnqueueAndDispatch_multithreaded() throws InterruptedException {

## `fastapi run`

Executing `fastapi run` starts FastAPI in production mode by default.

mkdir -p "$TFCI_OUTPUT_DIR"

# In addition to dumping all script output to the terminal, place it into
# $TFCI_OUTPUT_DIR/script.log
exec > >(tee "$TFCI_OUTPUT_DIR/script.log") 2>&1

# Setup tfrun, a helper function for executing steps that can either be run
# locally or run under Docker. setup_docker.sh, below, redefines it as "docker
# exec".
# Important: "tfrun foo | bar" is "( tfrun foo ) | bar", not "tfrun (foo | bar)".

	if err = newTestConfig(globalMinioDefaultRegion, objLayer); err != nil {
		args.t.Fatalf("Unable to initialize server config. %s", err)
	}

	credentials := globalActiveCred

	// Executing the object layer tests for single node setup.
	args.objAPITest(objLayer, ErasureSDStr, bucketFS, fsAPIRouter, credentials, args.t)

	// reset globals.

#### `lru_cache` Technical Details

`@lru_cache` modifies the function it decorates to return the same value that was returned the first time, instead of computing it again, executing the code of the function every time.