exit 1
fi

## Perform individual updates of rules to sites
./mc ilm edit --id "${id}" --expire-days "999" sitea/bucket
sleep 5s

./mc ilm edit --id "${id}" --expire-days "888" siteb/bucket # when ilm expiry re-enabled, this should win

## Check re-enabling of ILM expiry rules replication
./mc admin replicate update sitea --enable-ilm-expiry-replication

  # and validating resources cluster-wide
  istioctl tag set default --revision 1-8-1

  # Rollout namespace "test-ns" to update workloads to the "1-8-1" revision
  kubectl rollout restart deployments -n test-ns
`,
		SuggestFor: []string{"create"},
		Args: func(cmd *cobra.Command, args []string) error {
			if len(args) == 0 {

	})
	if err != nil {
		return cache, toStorageErr(err)
	}
	var final *dataUsageCache
	err = st.Results(func(resp *nsScannerResp) error {
		if resp.Update != nil {
			select {
			case <-ctx.Done():
			case updates <- *resp.Update:
			}
		}
		if resp.Final != nil {
			final = resp.Final
		}
		// We can't reuse the response since it is sent upstream.
		return nil
	})
	if err != nil {

        if (interpolated != tmpModel.getDelegate().getProfiles()) {
            tmpModel.update(tmpModel.getDelegate().withProfiles(interpolated));
        }

        // inject external profile into current model
        tmpModel.update(profileInjector.injectProfiles(
                tmpModel.getDelegate(),

	usageSizeDistribution         = "size_distribution"
	usageVersionCountDistribution = "version_count_distribution"
)

var (
	usageSinceLastUpdateSecondsMD = NewGaugeMD(usageSinceLastUpdateSeconds,
		"Time since last update of usage metrics in seconds")
	usageTotalBytesMD = NewGaugeMD(usageTotalBytes,
		"Total cluster usage in bytes")
	usageObjectsCountMD = NewGaugeMD(usageObjectsCount,
		"Total cluster objects count")

        return cast(UploadFile, __input_value)

    if not PYDANTIC_V2:

        @classmethod
        def __modify_schema__(cls, field_schema: Dict[str, Any]) -> None:
            field_schema.update({"type": "string", "format": "binary"})

    @classmethod
    def __get_pydantic_json_schema__(
        cls, core_schema: CoreSchema, handler: GetJsonSchemaHandler
    ) -> JsonSchemaValue:

- Update kube-apiserver SLO/SLI latency metrics to exclude priority & fairness queue wait times ([#116420](https://github.com/kubernetes/kubernetes/pull/116420), [@andrewsykim](https://github.com/andrewsykim)) [SIG API Machinery]
- Updated distroless iptables to use released image `registry.k8s.io/build-image/distroless-iptables:v0.2.2`

	}

	// Collect updates, stream them before the full cache is sent.
	updates := make(chan dataUsageEntry, 1)
	var wg sync.WaitGroup
	wg.Add(1)
	go func() {
		defer wg.Done()
		for update := range updates {
			resp := storageNSScannerRPC.NewResponse()
			resp.Update = &update
			out <- resp
		}
	}()

But when you import `Query`, `Path`, `Depends`, `Security` and others from `fastapi`, those are actually functions that return special classes.

///

## Use `SecurityScopes`

Now update the dependency `get_current_user`.

This is the one used by the dependencies above.

Here's where we are using the same OAuth2 scheme we created before, declaring it as a dependency: `oauth2_scheme`.

	h.currentMinute = serviceRTTMinuteStats{
		statsTime: currReqMinute,
	}
}

func (h *metrics) accumRequestRTT(reqStartTime time.Time, rttMs float64, isSuccess bool) {
	h.Lock()
	defer h.Unlock()

	// Update connectivity times
	if isSuccess {
		if reqStartTime.After(h.LastCheckSuccess) {
			h.LastCheckSuccess = reqStartTime
		}
	} else {
		if reqStartTime.After(h.LastCheckFailure) {