* Fix logrotate config on GCI ([#29139](https://github.com/kubernetes/kubernetes/pull/29139), [@adityakali](https://github.com/adityakali))
* Do not query the metadata server to find out if running on GCE.  Retry metadata server query for gcr if running on gce. ([#28871](https://github.com/kubernetes/kubernetes/pull/28871), [@vishh](https://github.com/vishh))

    * 如果你知道 Python 型別，你就知道如何使用 Pydantic。
* 和你的 **<abbr title="Integrated Development Environment，和程式碼編輯器類似">IDE</abbr>/<abbr title="一個檢查程式碼錯誤的工具">linter</abbr>/brain** 都能好好配合：
    * 因為 Pydantic 的資料結構其實就是你自己定義的類別實例，所以自動補齊、linting、mypy 以及你的直覺都能很好地在經過驗證的資料上發揮作用。
* 驗證**複雜結構**：
    * 使用 Pydantic 模型時，你可以把資料結構分層設計，並且用 Python 的 `List` 和 `Dict` 等型別來定義。
    * 驗證器讓我們可以輕鬆地定義和檢查複雜的資料結構，並把它們轉換成 JSON Schema 進行記錄。
    * 你可以擁有深層**巢狀的 JSON** 物件，並對它們進行驗證和註釋。

	batchKeyRotateAPIVersion           = "v1"
	batchKeyRotateJobDefaultRetries    = 3
	batchKeyRotateJobDefaultRetryDelay = 25 * time.Millisecond
)

// Start the batch key rottion job, resumes if there was a pending job via "job.ID"
func (r *BatchJobKeyRotateV1) Start(ctx context.Context, api ObjectLayer, job BatchJobRequest) error {
	ri := &batchJobInfo{
		JobID:     job.ID,
		JobType:   string(job.Type()),

  phase (Succeeded or Failed, depending on the exit statuses of the pod containers) to pods which
  are deleted while running.
  
  This fixes the issue for jobs using pod failure policy (with JobPodFailurePolicy and PodDisruptionConditions 
  feature gates enabled) that their pods could get stuck in the pending phase when deleted.
  

  private val taskRunner = taskFaker.taskRunner

  /**
   * Note that we don't use the same [TaskFaker] for this factory. That way off-topic tasks like
   * connection pool maintenance tasks don't add noise to route planning tests.
   */
  private val routePlanner = FakeRoutePlanner(taskFaker = taskFaker)
  private val finder = FastFallbackExchangeFinder(routePlanner, taskRunner)

  @AfterEach
  fun tearDown() {
    taskFaker.close()

	IsLatest bool `msg:"is"`

	// Deleted is set when this FileInfo represents
	// a deleted marker for a versioned bucket.
	Deleted bool `msg:"del"`

	// TransitionStatus is set to Pending/Complete for transitioned
	// entries based on state of transition
	TransitionStatus string `msg:"ts"`
	// TransitionedObjName is the object name on the remote tier corresponding
	// to object (version) on the source tier.

        }
        return numOfDeleted;
    }

    /**
     * Refreshes the specified index to make recent changes visible for search.
     * This operation ensures that all pending writes are persisted and searchable.
     *
     * @param searchEngineClient the search engine client to use for refresh
     * @param index the index name to refresh
     * @return the refresh status code
     */

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"_[...] I'm using **FastAPI** a ton these days. [...] I'm actually planning to use it for all of my team's **ML services at Microsoft**. Some of them are getting integrated into the core **Windows** product and some **Office** products._"

  }

  @GwtIncompatible // QueuingRemovalListener
  public void testRemovalNotification_clear() throws InterruptedException {
    // If a clear() happens while a computation is pending, we should not get a removal
    // notification.

    AtomicBoolean shouldWait = new AtomicBoolean(false);
    CountDownLatch computingLatch = new CountDownLatch(1);
    CacheLoader<String, String> computingFunction =

  }

  @GwtIncompatible // QueuingRemovalListener
  public void testRemovalNotification_clear() throws InterruptedException {
    // If a clear() happens while a computation is pending, we should not get a removal
    // notification.

    AtomicBoolean shouldWait = new AtomicBoolean(false);
    CountDownLatch computingLatch = new CountDownLatch(1);
    CacheLoader<String, String> computingFunction =