// Replace
//   OneHot(index, depth, on=1.0f, off=0.0f, axis=-1) * filter
// With
//   EmbeddingLookup(index, Transpose(filter))
//
// OneHot with on=1 off=0 axis=-1, where `index` is a single element tensor,
// creates a tensor of size depth, and all values are 0, except for the element
// at `index`, which is 1. Multiplying such a tensor with a 2D filter esentially
// returns the single column in filter as a 1D tensor. If the input has multiple

		indexer.Add(&v1.Node{ObjectMeta: metav1.ObjectMeta{Name: nodeName}})
	}

	esInformer := informerFactory.Discovery().V1().EndpointSlices()
	esIndexer := esInformer.Informer().GetIndexer()

	// These reactors are required to mock functionality that would be covered
	// automatically if we weren't using the fake client.

	jobCancelers map[string]context.CancelFunc
	workerKillCh chan struct{}
	workerSize   int
}

var globalBatchJobPool *BatchJobPool

// newBatchJobPool creates a pool of job manifest workers of specified size
func newBatchJobPool(ctx context.Context, o ObjectLayer, workers int) *BatchJobPool {
	jpool := &BatchJobPool{
		ctx:          ctx,
		objLayer:     o,

	EnvelopeKMSv2ServiceFactory = newMockEnvelopeKMSv2Service
	defer func() {
		envelopeServiceFactory = factory
		EnvelopeKMSv2ServiceFactory = factoryKMSv2
	}()

	ctx := testContext(t)

	// Creates compound/prefix transformers with different ordering of available transformers.
	// Transforms data using one of them, and tries to untransform using the others.
	// Repeats this for all possible combinations.

func withCDIDevices(cdiDevices ...string) containerAllocateResponseBuilderOption {
	return func(b *containerAllocateResponseBuilder) {
		b.cdiDevices = cdiDevices
	}
}

// newContainerAllocateResponse creates a ContainerAllocateResponse with the given options.
func newContainerAllocateResponse(opts ...containerAllocateResponseBuilderOption) *pluginapi.ContainerAllocateResponse {
	b := &containerAllocateResponseBuilder{}

	if len(x) != len(y) {
		return false
	}
	for i, xi := range x {
		if xi != y[i] {
			return false
		}
	}
	return true
}

// mProf_NextCycle publishes the next heap profile cycle and creates a
// fresh heap profile cycle. This operation is fast and can be done
// during STW. The caller must call mProf_Flush before calling
// mProf_NextCycle again.
//

type KubeGenericRuntime interface {
	kubecontainer.Runtime
	kubecontainer.StreamingRuntime
	kubecontainer.CommandRunner
}

// NewKubeGenericRuntimeManager creates a new kubeGenericRuntimeManager
func NewKubeGenericRuntimeManager(
	recorder record.EventRecorder,
	livenessManager proberesults.Manager,
	readinessManager proberesults.Manager,
	startupManager proberesults.Manager,

    val actual = source!!.buffer().readUtf8()
    assertThat(actual).isEqualTo(expected)
  }

  /**
   * Returns true when all work currently in progress by the watchdog have completed. This method
   * creates more work for the watchdog and waits for that work to be executed. When it is, we know
   * work that preceded this call is complete.
   */
  private fun awaitWatchdogIdle() {
    val latch = CountDownLatch(1)

	svc1Ips := []string{"128.0.0.1"}
	portNames := []string{"tcp-port"}
	// Create 1 endpoint that refers to a pod in the same namespace.
	createEndpoints(t, controller, "svc1", "nsA", portNames, svc1Ips, nil, nil)

	// Creates 100 endpoints that refers to a pod in a different namespace.
	fakeSvcCounts := 100
	for i := 0; i < fakeSvcCounts; i++ {
		svcName := fmt.Sprintf("svc-fake-%d", i)
		createServiceWait(controller, svcName, "nsfake", nil,

                                   const llvm::SetVector<Value>& inputs,
                                   const llvm::SetVector<Value>& outputs,
                                   const std::string& name) {
  // Creates an empty func.FuncOp with a signature compatible with 'inputs'
  // (operands) and 'outputs' (results).
  OpBuilder builder(module);
  auto in_types = GetValueTypes(inputs);
  auto out_types = GetValueTypes(outputs);