ResourceVersion: "5",
				},
				Status: batch.JobStatus{
					UncountedTerminatedPods: &batch.UncountedTerminatedPods{
						Succeeded: []types.UID{"a", "b", "c", "a", ""},
						Failed:    []types.UID{"c", "d", "e", "d", ""},
					},
				},
			},
			wantErrs: field.ErrorList{
				{Type: field.ErrorTypeDuplicate, Field: "status.uncountedTerminatedPods.succeeded[3]"},

		v0.AuxInt = int64ToAuxInt(0)
		v1 := b.NewValue0(v.Pos, OpRISCV64MOVBstore, types.TypeMem)
		v1.AuxInt = int32ToAuxInt(2)
		v2 := b.NewValue0(v.Pos, OpRISCV64MOVBstore, types.TypeMem)
		v2.AuxInt = int32ToAuxInt(1)
		v3 := b.NewValue0(v.Pos, OpRISCV64MOVBstore, types.TypeMem)
		v3.AddArg3(ptr, v0, mem)
		v2.AddArg3(ptr, v0, v3)
		v1.AddArg3(ptr, v0, v2)
		v.AddArg3(ptr, v0, v1)

  }

  // Infers shape of tf.While/tf.WhileRegion. If `shape_invariant` attribute is
  // set, operand types are set as result types if associated body result types
  // match the operand type (does not change per loop iteration). If operand and
  // body result types are not the same, only handle types are propagated to
  // result types. This is necessary to not incorrectly change result shapes

		terminatingErr          error
		prepareWorker           func(t *testing.T, w *podWorkers, records map[types.UID][]syncPodRecord)
		wantWorker              func(t *testing.T, w *podWorkers, records map[types.UID][]syncPodRecord)
		wantWorkerAfterRetry    func(t *testing.T, w *podWorkers, records map[types.UID][]syncPodRecord)
		wantErr                 bool
		expectMetrics           map[string]string

components have identical types. In detail:
</p>

<ul>
	<li>Two array types are identical if they have identical element types and
	    the same array length.</li>

	<li>Two slice types are identical if they have identical element types.</li>

	<li>Two struct types are identical if they have the same sequence of fields,

// two types are equal.

template <typename T1, typename T2>
struct AssertTypeEq;

template <typename T>
struct AssertTypeEq<T, T> {
  typedef bool type;
};

// A unique type used as the default value for the arguments of class
// template Types.  This allows us to simulate variadic templates
// (e.g. Types<int>, Type<int, double>, and etc), which C++ doesn't

    capture.

    input: A list of input tensors whose types are T.
    output: A list of output tensors whose types are T.
    cond: A region that takes 'input' and returns a boolean scalar tensor.
    body: A region that takes a list of tensors and returns another
          list of tensors. Both lists have the same types.
  }];

  let arguments = (ins
    Variadic<AnyTensor>:$input,

    llvm::function_ref<APFloat(APFloat, APFloat)> float_calculate,
    llvm::function_ref<APInt(APInt, APInt)> int_calculate) {
  // Note: All types are wrapped in tensor types in TFlite. E.g., f32 is
  // represented as tensor<f32>. So we are only handling tensor types here.
  auto type = result_type.dyn_cast<ShapedType>();
  if (!type) return {};

  auto elemType = type.getElementType();

	if expect, actual := []types.UID(nil), kubelet.podWorkers.(*fakePodWorkers).triggeredDeletion; !reflect.DeepEqual(expect, actual) {
		t.Fatalf("expected %v kills, got %v", expect, actual)
	}

	ready = true
	kubelet.HandlePodRemoves(pods)
	time.Sleep(2 * time.Second)

	// Sources are ready. Remove unwanted pods.

	}

	var types strings.Builder
	if len(cl.Types) == 0 {
		fmt.Fprintf(&types, "%*sTypes: nil", indent+2, "")
	} else {
		fmt.Fprintf(&types, "%*sTypes:", indent+2, "")
		for i, t := range cl.Types {
			types.WriteByte('\n')
			types.WriteString(t.goString(indent+4, fmt.Sprintf("%d: ", i)))
		}
	}

	var callConstraint string