return err
}

type writerAt struct {
	w      *io.PipeWriter
	r      *io.PipeReader
	wg     *sync.WaitGroup
	buffer map[int64][]byte
	err    error

	nextOffset int64
	m          sync.Mutex
}

func (w *writerAt) WriteAt(b []byte, offset int64) (n int, err error) {
	w.m.Lock()
	defer w.m.Unlock()

	if w.nextOffset == offset {
		n, err = w.w.Write(b)
		w.nextOffset += int64(n)

```

</div>

Sehen wir uns an, was jede dieser Optionen bedeutet:

* `main:app`: Das ist die gleiche Syntax, die auch von Uvicorn verwendet wird. `main` bedeutet das Python-Modul mit dem Namen `main`, also eine Datei `main.py`. Und `app` ist der Name der Variable, welche die **FastAPI**-Anwendung ist.
    * Stellen Sie sich einfach vor, dass `main:app` einer Python-`import`-Anweisung wie der folgenden entspricht:

        ```Python

	when a new ztunnel connects with different uid, only propagate deletes to older ztunnels.
*/

type connMgr struct {
	connectionSet map[*ZtunnelConnection]struct{}
	latestConn    *ZtunnelConnection
	mu            sync.Mutex
}

func (c *connMgr) addConn(conn *ZtunnelConnection) {
	log.Debug("ztunnel connected")
	c.mu.Lock()
	defer c.mu.Unlock()
	c.connectionSet[conn] = struct{}{}
	c.latestConn = conn

	descriptorMap map[MetricName]MetricDescriptor

	// For bucket metrics, the list of buckets is stored here. It is used in the
	// Collect() call. This is protected by the `bucketsLock`.
	bucketsLock sync.Mutex
	buckets     []string
}

// NewMetricsGroup creates a new MetricsGroup. To create a metrics group for
// metrics with a `bucket` dimension (label), use `NewBucketMetricsGroup`.
//

	nrRequests   uint64
	major, minor uint32
	fsType       string

	immediatePurge       chan string
	immediatePurgeCancel context.CancelFunc

	// mutex to prevent concurrent read operations overloading walks.
	rotational bool
	walkMu     *sync.Mutex
	walkReadMu *sync.Mutex
}

// checkPathLength - returns error if given path name length more than 255
func checkPathLength(pathName string) error {

	// TraceOutput will print debug information on non-200 calls if set.
	TraceOutput io.Writer // Debug trace output

	httpClient *http.Client
	url        *url.URL
	auth       func() string

	sync.RWMutex // mutex for lastErr
	lastErr      error
	lastErrTime  time.Time
}

type restError string

func (e restError) Error() string {
	return string(e)
}

func (e restError) Timeout() bool {

	BaseFlags          Flags
	ctx                context.Context
	cancelFn           context.CancelCauseFunc
	parent             *Connection
	respWait           chan<- Response
	respMu             sync.Mutex
	singleResp         bool
	closed             bool
	stateless          bool
	acked              bool
	init               bool
	deadline           time.Duration
	outBlock           chan struct{}

	state State

	// Non-atomic
	Remote string
	Local  string

	// ID of this connection instance.
	id uuid.UUID

	// Remote uuid, if we have been connected.
	remoteID    *uuid.UUID
	reconnectMu sync.Mutex

	// Context for the server.
	ctx context.Context

	// Active mux connections.
	outgoing *xsync.MapOf[uint64, *muxClient]

	// Incoming streams
	inStream *xsync.MapOf[uint64, *muxServer]

    assertEquals(int[].class, arrayOf(int.class).getRawType());
  }

  @SuppressWarnings("unused") // used by reflection
  private static class Holder<T> {
    List<T>[] matrix;

    void setList(List<T> list) {}
  }

  public void testWildcardCaptured_methodParameter_upperBound() throws Exception {
    TypeToken<Holder<?>> type = new TypeToken<Holder<?>>() {};

* **Machine Learning**: it normally requires lots of "matrix" and "vector" multiplications. Think of a huge spreadsheet with numbers and multiplying all of them together at the same time.