semconv.K8SPodNameKey.String(pod.Name),
		attribute.String("k8s.pod.update_type", updateType.String()),
		semconv.K8SNamespaceNameKey.String(pod.Namespace),
	))
	klog.V(4).InfoS("SyncPod enter", "pod", klog.KObj(pod), "podUID", pod.UID)
	defer func() {
		klog.V(4).InfoS("SyncPod exit", "pod", klog.KObj(pod), "podUID", pod.UID, "isTerminal", isTerminal)
		otelSpan.End()
	}()

    // A corollary to all that is that we don't need to check isDone inside the loop because if we
    // get into the loop we know that we weren't done when we entered and therefore we aren't under
    // an obligation to execute 'immediately'.
    if (!isDone()) {
      Listener oldHead = listeners;
      if (oldHead != Listener.TOMBSTONE) {

    // A corollary to all that is that we don't need to check isDone inside the loop because if we
    // get into the loop we know that we weren't done when we entered and therefore we aren't under
    // an obligation to execute 'immediately'.
    if (!isDone()) {
      Listener oldHead = listeners;
      if (oldHead != Listener.TOMBSTONE) {

					apiVersion: v2
					kind: Baz
				list:	
				- name: entry1
				  apiVersion: v2
				  kind: Baz
				- name: entry2
				  apiVersion: v3
				  kind: Bar
			`),
			newObj: mustUnstructured(`
				subField:
					apiVersion: v2
					kind: Baz
					otherField: newValue
				list:	
				- name: entry1
				  apiVersion: v2
				  kind: Baz
				  otherField: newValue2

	}

	// Check the expectations of the job before counting active pods, otherwise a new pod can sneak in
	// and update the expectations after we've retrieved active pods from the store. If a new pod enters
	// the store after we've checked the expectation, the job sync is just deferred till the next relist.
	satisfiedExpectations := jm.expectations.SatisfiedExpectations(logger, key)

	pods, err := jm.getPodsForJob(ctx, &job)

  # PLEASE KEEP THEM CONSISTENT!!!
  $endpoint_name = "cbr0"

  $vnic_name = "vEthernet (${endpoint_name})"

  $hns_endpoint = Get-HnsEndpoint | Where-Object Name -eq $endpoint_name
  # Note: we don't expect to ever enter this block currently - while the HNS
  # network does seem to persist across reboots, the HNS endpoints do not.
  if ($hns_endpoint) {
    if ($REDO_STEPS) {

// Returns if the shape inference pass supports an op outside the TF dialect.
bool IsSupportedNonTFOp(Operation* op) {
  return isa<tf_device::ReturnOp, tf_device::ClusterOp, tf_device::LaunchOp,
             tf_executor::EnterOp, tf_executor::ExitOp, tf_executor::FetchOp,
             tf_executor::GraphOp, tf_executor::IslandOp,
             tf_executor::LoopCondOp, tf_executor::MergeOp,

	// program size, we approximate by the length. To ensure that a program that is smaller than 1024
	// length but larger than 1024 size does not enter the system, we program Envoy to allow very large
	// regexs to avoid NACKs. See
	// https://github.com/jpeach/snippets/blob/889fda84cc8713af09205438b33553eb69dd5355/re2sz.cc to
	// evaluate program size.

	// StateClosed.
	StateNew ConnState = iota

	// StateActive represents a connection that has read 1 or more
	// bytes of a request. The Server.ConnState hook for
	// StateActive fires before the request has entered a handler
	// and doesn't fire again until the request has been
	// handled. After the request is handled, the state
	// transitions to StateClosed, StateHijacked, or StateIdle.

        assumes layers only ever have one positional argument. This assumption
        doesn't hold true before TF 2.4 either, but is more likely to cause
        issues now.
    *   Code that manually enters `keras.backend.get_graph()` before building a
        functional model is no longer needed.
    *   Start enforcing input shape assumptions when calling Functional API