// A service will be created. After the endpoints exist, the service will be deleted and the endpoints will not be deleted from the cache immediately.
// After the service is recreated, the endpoints will be deleted replicating an out of sync cache. Expect that eventually the endpoints will be recreated.
func TestMultipleServiceChanges(t *testing.T) {

	filePath := pathJoin(s.drivePath, minioMetaTmpDeletedBucket, ".writable-check-"+uuid+".tmp")

	// Create top level directories if they don't exist.
	// with mode 0o777 mkdir honors system umask.
	mkdirAll(pathutil.Dir(filePath), 0o777, s.drivePath) // don't need to fail here

	w, err := s.openFileDirect(filePath, os.O_CREATE|os.O_WRONLY|os.O_EXCL)
	if err != nil {
		return err
	}
	_, err = w.Write(alignedBuf)
	w.Close()

	// searchAddr, sets searchAddr to the *negative* index into chunks of that page. The trick here
	// is that concurrent calls to find will fail to monotonically decrease searchAddr*, and so they
	// won't barge over new memory becoming available to scavenge. Furthermore, this ensures
	// that some future caller of find *must* observe the new high index. That caller

			allErrs = append(allErrs, field.Invalid(statusFld.Child("failed"), job.Status.Failed, "cannot decrease the failed counter"))
		}
	}
	if opts.RejectDecreasingSucceededCounter {
		if job.Status.Succeeded < oldJob.Status.Succeeded {
			allErrs = append(allErrs, field.Invalid(statusFld.Child("succeeded"), job.Status.Succeeded, "cannot decrease the succeeded counter"))
		}
	}
	if opts.RejectMutatingCompletionTime {

// that has reached a terminal state of "finished" - has successfully exited
// syncTerminatedPod. This "forgets" a pod by UID and allows another pod to be
// recreated with the same UID. The kubelet preserves state about recently
// terminated pods to prevent accidentally restarting a terminal pod, which is
// proportional to the number of pods described in the pod config. The method

	if n == 0 {
		panic("testing: zero callers found")
	}
	if _, found := c.helperPCs[pc[0]]; !found {
		c.helperPCs[pc[0]] = struct{}{}
		c.helperNames = nil // map will be recreated next time it is needed
	}
}

// Cleanup registers a function to be called when the test (or subtest) and all its
// subtests complete. Cleanup functions will be called in last added,
// first called order.

    ${KUBECTL} --kubeconfig "${CERT_DIR}/admin.kubeconfig" create clusterrolebinding kube-apiserver-kubelet-admin --clusterrole=system:kubelet-api-admin --user=kube-apiserver

    # Grant kubelets permission to request client certificates

	a.setStatus(hpa, currentReplicas, hpa.Status.DesiredReplicas, metricStatuses, false)
}

// setStatus recreates the status of the given HPA, updating the current and
// desired replicas, as well as the metric statuses

 *
 * OkHttp performs best when you create a single `OkHttpClient` instance and reuse it for all of
 * your HTTP calls. This is because each client holds its own connection pool and thread pools.
 * Reusing connections and threads reduces latency and saves memory. Conversely, creating a client
 * for each request wastes resources on idle pools.
 *
 * Use `new OkHttpClient()` to create a shared instance with the default settings:
 *

			}
		}

		// If Cluster policy is in use, create the chain and create rules jumping
		// from clusterPolicyChain to the clusterEndpoints
		if usesClusterPolicyChain {
			proxier.writeServiceToEndpointRules(tx, svcPortNameString, svcInfo, clusterPolicyChain, clusterEndpoints)
		}

		// If Local policy is in use, create rules jumping from localPolicyChain
		// to the localEndpoints