importlib.reload(tutorial001)

    client = TestClient(tutorial001.app)
    return client


@needs_pydanticv2
def test_disable_openapi(monkeypatch):
    monkeypatch.setenv("OPENAPI_URL", "")
    # Load the client after setting the env var
    client = get_client()
    response = client.get("/openapi.json")
    assert response.status_code == 404, response.text
    response = client.get("/docs")

func (s *Singleton[T]) IsSet() bool {
	select {
	case <-s.set:
		return true
	default:
		return false
	}
}

// Set the value and unblock all Get requests.
// This may only be called once, a second call will panic.
func (s *Singleton[T]) Set(v *T) {
	s.v = v
	close(s.set)

	defer cancel()

	err := target.checkAndInitClient(ctx)
	if err != nil {
		return err
	}

	err = target.send(eventData)
	if xnet.IsNetworkOrHostDown(err, false) {
		return store.ErrNotConnected
	}
	return err
}

// send - sends the event to the target.
func (target *ElasticsearchTarget) send(eventData event.Event) error {

		checkEvery = 15 * time.Second

		// If the disk has completed an operation successfully within last 5 seconds, don't check it.
		skipIfSuccessBefore = 5 * time.Second
	)

	// if disk max timeout is smaller than checkEvery window
	// reduce checks by a second.
	if globalDriveConfig.GetMaxTimeout() <= checkEvery {
		checkEvery = globalDriveConfig.GetMaxTimeout() - time.Second
		if checkEvery <= 0 {

@GwtCompatible(emulated = true)
public class AbstractIteratorTest extends TestCase {

  public void testDefaultBehaviorOfNextAndHasNext() {

    // This sample AbstractIterator returns 0 on the first call, 1 on the
    // second, then signals that it's reached the end of the data
    Iterator<Integer> iter =
        new AbstractIterator<Integer>() {
          private int rep;

          @Override
          public Integer computeNext() {

  // object refers to a metric describing a single kubernetes object
  // (for example, hits-per-second on an Ingress object).
  // +optional
  optional ObjectMetricSource object = 2;

  // pods refers to a metric describing each pod in the current scale target
  // (for example, transactions-processed-per-second).  The values will be
  // averaged together before being compared to the target value.
  // +optional

func (sys *BucketQuotaSys) Init(objAPI ObjectLayer) {
	bucketStorageCache.InitOnce(10*time.Second,
		cachevalue.Opts{ReturnLastGood: true, NoWait: true},
		func(ctx context.Context) (DataUsageInfo, error) {
			if objAPI == nil {
				return DataUsageInfo{}, errServerNotInitialized
			}
			ctx, done := context.WithTimeout(ctx, 2*time.Second)
			defer done()

			return loadDataUsageFromBackend(ctx, objAPI)
		},
	)
}

from fastapi.testclient import TestClient
from pytest import MonkeyPatch

from ...utils import needs_pydanticv2


@needs_pydanticv2
def test_settings(monkeypatch: MonkeyPatch):
    monkeypatch.setenv("ADMIN_EMAIL", "******@****.***")
    from docs_src.settings.tutorial001 import app

    client = TestClient(app)
    response = client.get("/info")
    assert response.status_code == 200, response.text
    assert response.json() == {

	mg := &MetricsGroupV2{
		cacheInterval: 10 * time.Second,
	}
	mg.RegisterRead(func(ctx context.Context) []MetricV2 {
		return getHistogramMetrics(bucketHTTPRequestsDuration,
			getBucketTTFBDistributionMD(), true)
	})
	return mg
}

func getS3TTFBMetric() *MetricsGroupV2 {
	mg := &MetricsGroupV2{
		cacheInterval: 10 * time.Second,
	}
	mg.RegisterRead(func(ctx context.Context) []MetricV2 {

  }

  /**
   * Test to ensure we throw a read timeout on responses that are progressing too slowly.  For this
   * case, we take a 2KiB body and throttle it to 1KiB/second.  We set the read timeout to half a
   * second.  If our implementation is acting correctly, it will throw, as a byte doesn't arrive in
   * time.
   */
  @ParameterizedTest
  @ArgumentsSource(ProtocolParamProvider::class)