var saverWg sync.WaitGroup
	saverWg.Add(1)
	go func() {
		// Add jitter to the update time so multiple sets don't sync up.
		updateTime := 30*time.Second + time.Duration(float64(10*time.Second)*rand.Float64())
		t := time.NewTicker(updateTime)
		defer t.Stop()
		defer saverWg.Done()
		var lastSave time.Time

		for {
			select {
			case <-t.C:
				if cache.Info.LastUpdate.Equal(lastSave) {

	h := &FileHeader{
		Name:     "test.txt",
		Modified: time.Date(2017, 10, 31, 21, 11, 57, 0, timeZone(-7*time.Hour)),
	}
	w := NewWriter(&buf)
	if _, err := w.CreateHeader(h); err != nil {
		t.Fatalf("unexpected CreateHeader error: %v", err)
	}
	if err := w.Close(); err != nil {
		t.Fatalf("unexpected Close error: %v", err)
	}

	want, err := os.ReadFile("testdata/time-go.zip")
	if err != nil {

   * share the same connection without sharing the same hostname.
   */
  private var noCoalescedConnections = false

  /**
   * The number of times there was a problem establishing a stream that could be due to route
   * chosen. Guarded by this.
   */
  internal var routeFailureCount = 0

  private var successCount = 0
  private var refusedStreamCount = 0

            }
          }
        }
        if (done) {
          break;
        }
      }
    }
  }

  /**
   * Multiple threads using same array of counters successfully update a number of times equal to
   * total count
   */
  public void testCountingInMultipleThreads() throws InterruptedException {
    final AtomicDoubleArray aa = new AtomicDoubleArray(SIZE);
    for (int i = 0; i < SIZE; i++) {

        generator.generateFresh(String.class));
  }

  public void testFreshCurrency() {
    FreshValueGenerator generator = new FreshValueGenerator();
    // repeat a few times to make sure we don't stumble upon a bad Locale
    assertNotNull(generator.generateFresh(Currency.class));
    assertNotNull(generator.generateFresh(Currency.class));
    assertNotNull(generator.generateFresh(Currency.class));

         * enough. Consider, for example, the case where we have a buffer of size (n+1), add n
         * distinct elements, and add the last element over again many times over. We don't want a
         * situation where we re-sort the entire buffer every time the last element is re-added.
         *
         * <p>The solution is to ensure there are O(n) spaces left over in the buffer after

  // Status of the condition, one of True, False, Unknown.
  optional string status = 2;

  // The last time this condition was updated.
  optional k8s.io.apimachinery.pkg.apis.meta.v1.Time lastUpdateTime = 6;

  // Last time the condition transitioned from one status to another.
  optional k8s.io.apimachinery.pkg.apis.meta.v1.Time lastTransitionTime = 7;

  // The reason for the condition's last transition.
  optional string reason = 4;

        .build()

    // Stalling the socket will cause TWO requests to time out!
    server.enqueue(MockResponse(socketPolicy = StallSocketAtStart))

    // The 3rd request should be sent to a fresh connection.
    server.enqueue(
      MockResponse(body = "fresh connection"),
    )

    // The first call times out.
    val call1 = client.newCall(Request(server.url("/")))

    return new IdentityHashMap<>();
  }

  /**
   * Computes the difference between two maps. This difference is an immutable snapshot of the state
   * of the maps at the time this method is called. It will never change, even if the maps change at
   * a later time.
   *
   * <p>Since this method uses {@code HashMap} instances internally, the keys of the supplied maps

    return new IdentityHashMap<>();
  }

  /**
   * Computes the difference between two maps. This difference is an immutable snapshot of the state
   * of the maps at the time this method is called. It will never change, even if the maps change at
   * a later time.
   *
   * <p>Since this method uses {@code HashMap} instances internally, the keys of the supplied maps