if err != nil {
		t.Fatalf("Unexpected error: %v", err)
	}
	podCreated := objCreated.(*example.Pod)

	watcher, err := registry.WatchPredicate(testContext, matchPodName("foo"), podCreated.ResourceVersion, nil)
	if err != nil {
		t.Fatalf("Unexpected error: %v", err)
	}
	defer watcher.Stop()

	podCache kubecontainer.Cache

	// os is a facade for various syscalls that need to be mocked during testing.
	os kubecontainer.OSInterface

	// Watcher of out of memory events.
	oomWatcher oomwatcher.Watcher

	// Monitor resource usage
	resourceAnalyzer serverstats.ResourceAnalyzer

	// Whether or not we should have the QOS cgroup hierarchy for resource management
	cgroupsPerQOS bool

			return nil
		}
		if !apiequality.Semantic.DeepDerivative(*job, testJob) {
			t.Errorf("Expected %#v, but got %#v", testJob, *job)
		}
		return nil
	}
	// Start only the job watcher and the workqueue, send a watch event,
	// and make sure it hits the sync method.
	stopCh := make(chan struct{})
	defer close(stopCh)
	sharedInformerFactory.Start(stopCh)
	go manager.Run(context.TODO(), 1)

                "color": "red",
                "value": 80
              }
            ]
          },
          "unit": "none"
        },
        "overrides": [
          {
            "matcher": {
              "id": "byName",
              "options": "S3 Errors"
            },
            "properties": [
              {
                "id": "color",
                "value": {

ientMode":"none","showPoints":"never","stacking":{"mode":"normal"}},"unit":"ops"},"overrides":[{"matcher":{"id":"byName","options":"cds"},"properties":[{"id":"displayName","value":"Clusters"}]},{"matcher":{"id":"byName","options":"eds"},"properties":[{"id":"displayName","value":"Endpoints"}]},{"matcher":{"id":"byName","options":"lds"},"properties":[{"id":"displayName","value":"Listeners"}]},{"matcher":{"id":"byName","options":"rds"},"properties":[{"id":"displayName","value":"Routes"}]},{"matcher...

	// Gateways don't support talking directly to waypoint, so we skip that here as well.
	matchers := []match.Matcher{match.RegularPod, match.NotWaypoint}

	gatewayListenPort := 80
	gatewayListenPortName := "http"
	t.RunTraffic(TrafficTestCase{
		name:             "404",
		targetMatchers:   matchers,
		workloadAgnostic: true,
		viaIngress:       true,

        for (def line : stream.call().readLines()) {
            def matcher = pattern.matcher(line)
            if (matcher.matches()) {
                dirs.add(new TestFile(matcher.group(1)))
            }
        }
        return dirs
    }

    TestFile getGcFile() {
        return cacheDir.file("gc.properties")

			expected: []metav1.TableRow{{Cells: []interface{}{"all-matcher", "allee", int64(math.MaxInt32), "ByUser", "0s", "?"}}},
		}, {
			fs: flowcontrol.FlowSchema{
				ObjectMeta: metav1.ObjectMeta{
					Name:              "some-matcher",
					CreationTimestamp: metav1.Time{Time: time.Now().Add(-3e11)},
				},
				Spec: flowcontrol.FlowSchemaSpec{

    TFL_OperandHasAtleastRank<0, 2>,
    PredOpTrait<"input and result must have the same element type",
      TFL_TCresVTEtIsSameAsOp<0, 0>>,
    Pure]> {
  let summary = [{
    Returns a batched matrix tensor with new batched diagonal values.
  }];

  let description = [{
Given `input` and `diagonal`, this operation returns a tensor with the
same shape and values as `input`, except for the main diagonal of the

   * of reads may not be immediately reflected on the algorithm's data structures. These structures
   * are guarded by a lock and operations are applied in batches to avoid lock contention. The
   * penalty of applying the batches is spread across threads so that the amortized cost is slightly
   * higher than performing just the operation without enforcing the capacity constraint.
   *