},
			},
			wantStatusActive:    0,
			wantStatusFailed:    1,
			wantStatusSucceeded: 0,
		},
		"ignore pod failure; both rules are matching, the first is executed only": {
			enableJobPodFailurePolicy: true,
			job: batch.Job{
				TypeMeta:   metav1.TypeMeta{Kind: "Job"},
				ObjectMeta: validObjectMeta,
				Spec: batch.JobSpec{
					Selector:     validSelector,

// would be able to turn the node ready, and sync the ready state to the apiserver as soon as possible.
// Function returns after the node status update after such event, or when the node is already ready.
// Function is executed only during Kubelet start which improves latency to ready node by updating
// kubelet state, runtime status and node statuses ASAP.
func (kl *Kubelet) fastStatusUpdateOnce() {
	ctx := context.Background()

  }

  // Don't consider the else region if it is empty.
  Region* else_reg = &getElseRegion();
  if (else_reg->empty()) else_reg = nullptr;

  // If the condition isn't constant, both regions may be executed.
  regions.push_back(RegionSuccessor(&getThenRegion()));
  // If the else region does not exist, it is not a viable successor.
  if (else_reg) regions.push_back(RegionSuccessor(else_reg));
}

	op_ETND    uint32 = 0xB2EC // FORMAT_RRE        EXTRACT TRANSACTION NESTING DEPTH
	op_EX      uint32 = 0x4400 // FORMAT_RX1        EXECUTE
	op_EXRL    uint32 = 0xC600 // FORMAT_RIL2       EXECUTE RELATIVE LONG
	op_FIDBR   uint32 = 0xB35F // FORMAT_RRF5       LOAD FP INTEGER (long BFP)
	op_FIDBRA  uint32 = 0xB35F // FORMAT_RRF5       LOAD FP INTEGER (long BFP)

  // When a data output is replaced as a feed, unless there is another non feed
  // data output or an explicit control output used by the same node, transitive
  // control dependencies are not to be executed. For single output nodes,
  // Placeholders can be converted to a NoOp if there are no uses, and
  // PlaceholderWithDefault can be converted to an Identity.
  for (const auto* edge : control_edges) {

}

// Replace formats the contents of v into the provided template.
func replace(tmpl string, v interface{}) string {
	t := template.Must(template.New("test").Parse(tmpl))
	buf := bytes.NewBuffer(nil)
	t.Execute(buf, &v)
	ret := buf.String()
	klog.V(4).Infof("Replaced: %v into: %v", tmpl, ret)
	return ret
}

// newClaimServer returns a new test HTTPS server, which is rigged to return

			kubeClient.ReactionChain = fake.NewSimpleClientset(&v1.NodeList{Items: []v1.Node{*tc.existingNode}}).ReactionChain
			kubelet.nodeLister = delegatingNodeLister{client: kubeClient}

			// Execute
			assert.NoError(t, kubelet.updateNodeStatus(ctx))

			// Validate
			actions := kubeClient.Actions()
			if tc.expectedNode != nil {
				assert.Len(t, actions, 2)

    return RefineTypeForPassThroughOperands(op, op->getOperands(),
                                            op->getResults());
  }

  // The shape inference function for `ReduceDatasetOp` should always be
  // executed regardless of whether the result type can be refined.
  if (auto reduce_dataset_op = dyn_cast<ReduceDatasetOp>(op)) {
    // TODO(jpienaar): The output type of these ops need to be refined.

                       ->getOrLoadDialect<mlir::TFL::TensorFlowLiteDialect>();
    vhlo_dialect_ =
        module.getContext()->getOrLoadDialect<mlir::vhlo::VhloDialect>();
    // Right now the TF executor dialect is still needed to build NodeDef.
    module.getContext()
        ->getOrLoadDialect<mlir::tf_executor::TensorFlowExecutorDialect>();
  }

  std::optional<std::string> TranslateInternal();

  }
}

void WhileRegionOp::getRegionInvocationBounds(
    ArrayRef<Attribute> operands,
    SmallVectorImpl<InvocationBounds> &invocationBounds) {
  // We execute cond at least once, and body any number of times.
  invocationBounds.emplace_back(InvocationBounds(1, std::nullopt));
  invocationBounds.emplace_back(InvocationBounds::getUnknown());
}