// Except for Types0, every struct in the family has two member types:
// Head for the first type in the list, and Tail for the rest of the
// list.

// The empty type list.
struct Types0 {};

// Type lists of length 1, 2, 3, and so on.

template <typename T1>
struct Types1 {
  typedef T1 Head;
  typedef Types0 Tail;
};
template <typename T1, typename T2>
struct Types2 {

	ldr.SetAttrSpecial(enoptrdata.Sym(), false)

	types := ldr.CreateSymForUpdate("runtime.types", 0)
	types.SetType(sym.STYPE)
	types.SetSize(8)
	ldr.SetAttrSpecial(types.Sym(), false)

	etypes := ldr.CreateSymForUpdate("runtime.etypes", 0)
	etypes.SetType(sym.SFUNCTAB)
	ldr.SetAttrSpecial(etypes.Sym(), false)

	if ctxt.HeadType == objabi.Haix {

						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]"},
				{Type: field.ErrorTypeInvalid, Field: "status.uncountedTerminatedPods.succeeded[4]"},

	// cond: !shiftIsBounded(v)
	// result: (SRAW <t> x (OR <y.Type> y (ADDI <y.Type> [-1] (SLTIU <y.Type> [32] y))))
	for {
		t := v.Type
		x := v_0
		y := v_1
		if !(!shiftIsBounded(v)) {
			break
		}
		v.reset(OpRISCV64SRAW)
		v.Type = t
		v0 := b.NewValue0(v.Pos, OpRISCV64OR, y.Type)
		v1 := b.NewValue0(v.Pos, OpRISCV64ADDI, y.Type)
		v1.AuxInt = int64ToAuxInt(-1)

  }

  // 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

</p>


<h2 id="Types">Types</h2>

<p>
A type determines a set of values together with operations and methods specific
to those values. A type may be denoted by a <i>type name</i>, if it has one,
or specified using a <i>type literal</i>, which composes a type from existing types.
</p>

<pre class="ebnf">
Type      = TypeName | TypeLit | "(" Type ")" .

  return std::equal(i1, e1, i2);
}

// This function removes explicit broadcasting on type1 and returns whether if
// the reduced `type1` dimensions are the same as the ending dimensions
// of `type2`.
bool IsReducedTailOfShape(Type type1, Type type2) {
  auto tail_type = mlir::dyn_cast<ShapedType>(type1);
  auto full_type = mlir::dyn_cast<ShapedType>(type2);
  if (!tail_type || !full_type || !tail_type.hasRank() || !full_type.hasRank())

      ('use_constant_with_int32_input', dtypes.int32, False, True),
      ('use_variable_with_int32_input', dtypes.int32, True, True),
      ('use_constant_with_int64_input', dtypes.int64, False, True),
      ('use_variable_with_int64_input', dtypes.int64, True, True),
      ('small_gather_use_constant', dtypes.int32, False, False),
      ('small_gather_use_variable', dtypes.int32, True, False),
  )
  @test_util.run_v2_only

Attribute ConstFoldBinaryOp(
    Type result_type, ArrayRef<Attribute> operands,
    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 {};