template := &x509.CertificateRequest{
		Subject: pkix.Name{
			Organization: []string{"testing-org"},
		},
	}

	_, key, err := ed25519.GenerateKey(rand.Reader)
	if err != nil {
		t.Fatal(err)
	}

	csrDER, err := x509.CreateCertificateRequest(rand.Reader, template, key)
	if err != nil {
		t.Fatal(err)
	}

	csrPemBlock := &pem.Block{
		Type:  "CERTIFICATE REQUEST",
		Bytes: csrDER,
	}

   * @param size the size of that array, list or string
   * @return the value of {@code index}
   * @throws IndexOutOfBoundsException if {@code index} is negative or is greater than {@code size}
   * @throws IllegalArgumentException if {@code size} is negative
   */
  @CanIgnoreReturnValue
  public static int checkPositionIndex(int index, int size) {

namespace tensorflow {
namespace ops {
namespace {

// Logical operations have no gradients.
REGISTER_NO_GRADIENT_OP("Less");
REGISTER_NO_GRADIENT_OP("LessEqual");
REGISTER_NO_GRADIENT_OP("Greater");
REGISTER_NO_GRADIENT_OP("GreaterEqual");
REGISTER_NO_GRADIENT_OP("Equal");
REGISTER_NO_GRADIENT_OP("ApproximateEqual");
REGISTER_NO_GRADIENT_OP("NotEqual");
REGISTER_NO_GRADIENT_OP("LogicalAnd");

			if event.Type == watch.Bookmark {
				bookmarkReceived = true
				// bookmark event has a RV greater than or equal to the before one
				if rv < lastObservedResourceVersion {
					t.Fatalf("Unexpected bookmark resourceVersion %v less than observed %v)", rv, lastObservedResourceVersion)
				}
			} else {
				// non-bookmark event has a RV greater than anything before
				if rv <= lastObservedResourceVersion {

func TestXLStorageReadAll(t *testing.T) {
	// create xlStorage test setup
	xlStorage, _, err := newXLStorageTestSetup(t)
	if err != nil {
		t.Fatalf("Unable to create xlStorage test setup, %s", err)
	}

	// Create files for the test cases.
	if err = xlStorage.MakeVol(context.Background(), "exists"); err != nil {
		t.Fatalf("Unable to create a volume \"exists\", %s", err)
	}

  // CHECK-DAG: %[[VAL10:.*]] = "tf.Floor"(%[[VAL9]]) : (tensor<f32>) -> tensor<f32>
  // CHECK-DAG: %[[VAL11:.*]] = "tf.Sub"(%[[VAL9]], %[[VAL10]]) : (tensor<f32>, tensor<f32>) -> tensor<f32>
  // CHECK-DAG: %[[VAL12:.*]] = "tf.Greater"(%[[VAL11]], %[[VAL4]]) : (tensor<f32>, tensor<f32>) -> tensor<i1>
  // CHECK-DAG: %[[VAL13:.*]] = "tf.Equal"(%[[VAL11]], %[[VAL4]]) <{incompatible_shape_error = true}> : (tensor<f32>, tensor<f32>) -> tensor<i1>

						v1.ResourceMemory: *resource.NewQuantity(1024, resource.BinarySI),
						v1.ResourcePods:   *resource.NewQuantity(110, resource.DecimalSI),
					},
				},
			},
		},
		{
			desc:        "podsPerCore greater than zero, but less than maxPods/cores",
			node:        &v1.Node{},
			maxPods:     10,
			podsPerCore: 4,
			machineInfo: &cadvisorapiv1.MachineInfo{
				NumCores:       2,
				MemoryCapacity: 1024,
			},

	// we are making a conservative decision: filters like resources and inter-pod
	// anti-affinity are more likely to fail when the nominated pods are treated
	// as running, while filters like pod affinity are more likely to fail when
	// the nominated pods are treated as not running. We can't just assume the
	// nominated pods are running because they are not running right now and in fact,

	// that the scavenger should keep as a buffer space for the allocator.
	// This constant is used when we do not have a memory limit set.
	//
	// The purpose of maintaining this overhead is to have a greater pool of
	// unscavenged memory available for allocation (since using scavenged memory
	// incurs an additional cost), to account for heap fragmentation and
	// the ever-changing layout of the heap.
	retainExtraPercent = 10

  let summary = "Creates summary database writer accessible by given resource handle.";

  let description = [{
This can be used to write tensors from the execution graph directly
to a database. Only SQLite is supported right now. This function
will create the schema if it doesn't exist. Entries in the Users,
Experiments, and Runs tables will be created automatically if they
don't already exist.