for attempts <= 3 {
				aerr := api.AbortMultipartUpload(ctx, tgtBucket, tgtObject, res.UploadID, ObjectOptions{})
				if aerr == nil {
					return
				}
				batchLogIf(ctx,
					fmt.Errorf("trying %s: Unable to cleanup failed multipart replication %s on remote %s/%s: %w - this may consume space on remote cluster",
						humanize.Ordinal(attempts), res.UploadID, tgtBucket, tgtObject, aerr))
				attempts++
				time.Sleep(time.Second)
			}

// given uploadID from cache
func (sys *NotificationSys) DeleteUploadID(ctx context.Context, uploadID string) {
	ng := WithNPeers(len(sys.peerClients))
	for idx, client := range sys.peerClients {
		if client == nil {
			continue
		}
		client := client
		ng.Go(ctx, func() error {
			return client.DeleteUploadID(ctx, uploadID)
		}, idx, *client.host)
	}

	}

	pools, ok := objAPI.(*erasureServerPools)
	if !ok {
		return np, nerr
	}

	// No need to return errors, this is not a highly strict operation.
	uploadID := mss.Get(peerRESTUploadID)
	if uploadID != "" {
		pools.ClearUploadID(uploadID)
	}

	return np, nerr
}

func (s *peerRESTServer) StopRebalanceHandler(mss *grid.MSS) (np grid.NoPayload, nerr *grid.RemoteErr) {
	objAPI := newObjectLayerFn()

          }
          // TODO(cpovirk): if reference has been cleared, remove it?
        }
        checkExceptionClassValidity(exceptionClass);

        /*
         * It's very unlikely that any loaded Futures class will see getChecked called with more
         * than a handful of exceptions. But it seems prudent to set a cap on how many we'll cache.

	return err
}

func (client *peerRESTClient) DeleteUploadID(ctx context.Context, uploadID string) error {
	conn := client.gridConn()
	if conn == nil {
		return nil
	}
	_, err := cleanupUploadIDCacheMetaRPC.Call(ctx, conn, grid.NewMSSWith(map[string]string{
		peerRESTUploadID: uploadID,
	}))
	return err
}

func (client *peerRESTClient) StopRebalance(ctx context.Context) error {

// function. Otherwise return nullptr in result and error Status from the
// function.
//
// If `library_filename` has already been loaded, we return a cached handle.
// Device and Kernels/Ops are registered as globals when a library is loaded
// for the first time.
TF_Library* TF_LoadPluggableDeviceLibrary(const char* library_filename,
                                          TF_Status* status) {

    public static final String API_REALMID = "maven.api";

    public static final String API_V4_REALMID = "maven.api.v4";

    /**
     * During normal command line build, ClassWorld is loaded by jvm system classloader, which only includes
     * plexus-classworlds jar and possibly javaagent classes, see https://issues.apache.org/jira/browse/MNG-4747.
     * <p>

    return statsCounterSupplier;
  }

  /**
   * Builds a cache, which either returns an already-loaded value for a given key or atomically
   * computes or retrieves it using the supplied {@code CacheLoader}. If another thread is currently
   * loading the value for this key, simply waits for that thread to finish and returns its loaded
   * value. Note that multiple threads can concurrently load values for distinct keys.
   *

That's what we'll solve, let's load the model before the requests are handled, but only right before the application starts receiving requests, not while  the code is being loaded.

## Lifespan { #lifespan }

You can define this *startup* and *shutdown* logic using the `lifespan` parameter of the `FastAPI` app, and a "context manager" (I'll show you what that is in a second).

                result.addException(e);
                throw new ArtifactDescriptorException(result);
            }

            Model model;

            // TODO hack: don't rebuild model if it was already loaded during reactor resolution
            final WorkspaceReader workspace = session.getWorkspaceReader();
            if (workspace instanceof MavenWorkspaceReader mavenWorkspaceReader) {