// testMainKubelet.secretManager.RegisterPod(pod)
	assert.Nil(t, testMainKubelet.configMapManager, "configmap manager should be nil if kubelet is in standalone mode")
	assert.Nil(t, testMainKubelet.secretManager, "secret manager should be nil if kubelet is in standalone mode")
}

func TestSyncPodSpans(t *testing.T) {
	testKubelet := newTestKubelet(t, false)
	kubelet := testKubelet.kubelet

	IfOperStatusTesting        = 3
	IfOperStatusUnknown        = 4
	IfOperStatusDormant        = 5
	IfOperStatusNotPresent     = 6
	IfOperStatusLowerLayerDown = 7
)

// Console related constants used for the mode parameter to SetConsoleMode. See
// https://docs.microsoft.com/en-us/windows/console/setconsolemode for details.

const (
	ENABLE_PROCESSED_INPUT        = 0x1
	ENABLE_LINE_INPUT             = 0x2

  // FusedBatchNorm in training mode is a layout sentitive operation, and should
  // have already assigned an optimal data format.
  if (op->getIsTraining()) return failure();
  return ::mlir::TF::FoldOperandsPermutation(permutation, op);
}

template <class Op>
static StringRef GetOptimalLayout(const RuntimeDevices& devices, Op* op) {
  // In inference mode FusedBatchNorm is not sensitive to data layout.

		return nil, nil, err
	}

	return cert, priv, nil
}

func TestPathologicalChain(t *testing.T) {
	if testing.Short() {
		t.Skip("skipping generation of a long chain of certificates in short mode")
	}

	// Build a chain where all intermediates share the same subject, to hit the
	// path building worst behavior.
	roots, intermediates := NewCertPool(), NewCertPool()

		**out = **in
	}
	if in.ResourceFieldRef != nil {
		in, out := &in.ResourceFieldRef, &out.ResourceFieldRef
		*out = new(ResourceFieldSelector)
		(*in).DeepCopyInto(*out)
	}
	if in.Mode != nil {
		in, out := &in.Mode, &out.Mode
		*out = new(int32)
		**out = **in
	}
	return
}

// DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new DownwardAPIVolumeFile.

		**out = **in
	}
	if in.ResourceFieldRef != nil {
		in, out := &in.ResourceFieldRef, &out.ResourceFieldRef
		*out = new(ResourceFieldSelector)
		(*in).DeepCopyInto(*out)
	}
	if in.Mode != nil {
		in, out := &in.Mode, &out.Mode
		*out = new(int32)
		**out = **in
	}
	return
}

// DeepCopy is an autogenerated deepcopy function, copying the receiver, creating a new DownwardAPIVolumeFile.

^bb0(%arg0: tensor<2x1x3xf32>, %arg1: tensor<3x2xi32>):
  %0 = "tf.MirrorPad"(%arg0, %arg1) { mode = "SYMMETRIC" }: (tensor<2x1x3xf32>, tensor<3x2xi32>) -> tensor<? x f32>
  func.return %0#0 : tensor<? x f32>

  // CHECK-LABEL: mirror_pad
  // CHECK:  "tfl.mirror_pad"(%arg0, %arg1) <{mode = #tfl<mirror_pad_attr SYMMETRIC>}> : (tensor<2x1x3xf32>, tensor<3x2xi32>) -> tensor<?xf32>
  // CHECK:  return
}

				ObjectMeta: validObjectMeta,
				Status: batch.JobStatus{
					CompletionTime: &now,
					Active:         1,
				},
			},
		},
		"invalid attempt setting CompletedIndexes when non-indexed completion mode is used": {
			enableJobManagedBy: true,
			job: &batch.Job{
				ObjectMeta: validObjectMeta,
				Spec: batch.JobSpec{
					Completions:    ptr.To[int32](5),

			if err := enforceRetentionBypassForPut(ctx, r, *oi, objRetention, cred, owner); err != nil {
				return dsc, err
			}
			if objRetention.Mode.Valid() {
				oi.UserDefined[strings.ToLower(xhttp.AmzObjectLockMode)] = string(objRetention.Mode)
				oi.UserDefined[strings.ToLower(xhttp.AmzObjectLockRetainUntilDate)] = amztime.ISO8601Format(objRetention.RetainUntilDate.UTC())
			} else {

  selected_boxes = tf.gather(boxes, selected_indices)
This op also supports a Soft-NMS (with Gaussian weighting) mode (c.f.
Bodla et al, https://arxiv.org/abs/1704.04503) where boxes reduce the score
of other overlapping boxes instead of directly causing them to be pruned.
To enable this Soft-NMS mode, set the `soft_nms_sigma` parameter to be
larger than 0.
  }];

  let arguments = (ins
    TFL_FpTensor:$boxes,