* update gophercloud/gophercloud dependency for reauthentication fixes ([#45545](https://github.com/kubernetes/kubernetes/pull/45545), [@stuart-warren](https://github.com/stuart-warren))
* fix sync loop health check with separating runtime errors ([#47124](https://github.com/kubernetes/kubernetes/pull/47124), [@andyxning](https://github.com/andyxning))

Wenn Sie das nicht kennen, schauen Sie sich den Abschnitt _„In Eile?“_ über <a href="https://fastapi.tiangolo.com/de/async/#in-eile" target="_blank">`async` und `await` in der Dokumentation</a> an.
</details>

### Starten

Führen Sie den Server aus:

<div class="termy">

```console
$ uvicorn main:app --reload

INFO:     Uvicorn running on http://127.0.0.1:8000 (Press CTRL+C to quit)
INFO:     Started reloader process [28720]

      "type": "timeseries"
    }
  ],
  "refresh": "",
  "schemaVersion": 39,
  "tags": [
    "minio"
  ],
  "templating": {
    "list": [
      {
        "current": {
          "selected": false,
          "text": "All",
          "value": "$__all"
        },
        "datasource": {
          "type": "prometheus",
          "uid": "${DS_PROMETHEUS}"

Pydantic-Modell deklarieren**. Auf diese Weise übernimmt das Pydantic-Modell alle Datendokumentation, -validierung, usw. für das Objekt, welches Sie zurückgeben (z. B. ein Dict oder ein Datenbank-Objekt).

Würden Sie eine hierfür eine Rückgabetyp-Annotation verwenden, dann würden Tools und Editoren (korrekterweise) Fehler ausgeben, die Ihnen sagen, dass Ihre Funktion einen Typ zurückgibt (z. B. ein Dict), der sich unterscheidet von dem, was Sie deklariert haben (z. B. ein Pydantic-Modell)....

    [following API review practices](https://github.com/tensorflow/community/blob/master/governance/api-reviews.md).
*   When you contribute a new feature to TensorFlow, the maintenance burden is
    (by default) transferred to the TensorFlow team. This means that the benefit
    of the contribution must be compared against the cost of maintaining the
    feature.

    // Obtain m = (-distance mod length), a non-negative value less than "length". This is how many
    // places left to rotate.
    int m = -distance % length;
    m = (m < 0) ? m + length : m;
    // The current index of what will become the first element of the rotated section.
    int newFirstIndex = m + fromIndex;
    if (newFirstIndex == fromIndex) {
      return;
    }

    reverse(array, fromIndex, newFirstIndex);

    // Obtain m = (-distance mod length), a non-negative value less than "length". This is how many
    // places left to rotate.
    int m = -distance % length;
    m = (m < 0) ? m + length : m;
    // The current index of what will become the first element of the rotated section.
    int newFirstIndex = m + fromIndex;
    if (newFirstIndex == fromIndex) {
      return;
    }

    reverse(array, fromIndex, newFirstIndex);

    // Obtain m = (-distance mod length), a non-negative value less than "length". This is how many
    // places left to rotate.
    int m = -distance % length;
    m = (m < 0) ? m + length : m;
    // The current index of what will become the first element of the rotated section.
    int newFirstIndex = m + fromIndex;
    if (newFirstIndex == fromIndex) {
      return;
    }

    reverse(array, fromIndex, newFirstIndex);

	return append(dst, pre)
}

// fileState tracks the number of logical (includes sparse holes) and physical
// (actual in tar archive) bytes remaining for the current file.
//
// Invariant: logicalRemaining >= physicalRemaining
type fileState interface {
	logicalRemaining() int64
	physicalRemaining() int64
}

// allowedFormats determines which formats can be used.

   *
   * <p>The benefits of creating our own queue are that (1) we can replace elements in the middle of
   * the queue as part of copyWriteEntry, and (2) the contains method is highly optimized for the
   * current model.
   */
  static final class WriteQueue<K, V> extends AbstractQueue<ReferenceEntry<K, V>> {
    final ReferenceEntry<K, V> head =
        new AbstractReferenceEntry<K, V>() {

          @Override