private void ambiguousClass(ClassNode type, ClassNode iType, String name) {
        if (type.getName().equals(iType.getName())) {
            addError("reference to " + name + " is ambiguous, both class " + type.getName() + " and " + iType.getName() + " match", type);
        } else {
            type.setRedirect(iType);
        }
    }

    private boolean resolveAliasFromModule(ClassNode type) {

func (p *Package) writeDefsFunc(fgo2 io.Writer, n *Name, callsMalloc *bool) {
	name := n.Go
	gtype := n.FuncType.Go
	void := gtype.Results == nil || len(gtype.Results.List) == 0
	if n.AddError {
		// Add "error" to return type list.
		// Type list is known to be 0 or 1 element - it's a C function.
		err := &ast.Field{Type: ast.NewIdent("error")}
		l := gtype.Results.List
		if len(l) == 0 {
			l = []*ast.Field{err}
		} else {

}

// Map contains Type fields specific to maps.
type Map struct {
	Key  *Type // Key type
	Elem *Type // Val (elem) type

	Bucket *Type // internal struct type representing a hash bucket
}

// MapType returns t's extra map-specific fields.
func (t *Type) MapType() *Map {
	t.wantEtype(TMAP)
	return t.extra.(*Map)
}

// Forward contains Type fields specific to forward types.
type Forward struct {

type rtype struct {
	t abi.Type
}

func (t *rtype) common() *abi.Type {
	return &t.t
}

func (t *rtype) uncommon() *abi.UncommonType {
	return t.t.Uncommon()
}

type aNameOff = abi.NameOff
type aTypeOff = abi.TypeOff
type aTextOff = abi.TextOff

// ChanDir represents a channel type's direction.
type ChanDir int

const (
	RecvDir ChanDir             = 1 << iota // <-chan

func (p *Package) recordTypedefs(dtype dwarf.Type, pos token.Pos) {
	p.recordTypedefs1(dtype, pos, map[dwarf.Type]bool{})
}

func (p *Package) recordTypedefs1(dtype dwarf.Type, pos token.Pos, visited map[dwarf.Type]bool) {
	if dtype == nil {
		return
	}
	if visited[dtype] {
		return
	}
	visited[dtype] = true
	switch dt := dtype.(type) {
	case *dwarf.TypedefType:

}

std::string ExpectedString(const char* type) {
  const auto format_str = R"str(kernel {
  op: "TypeOp%s"
  device_type: "FakeDeviceName1"
  constraint {
    name: "T"
    allowed_values {
      list {
        type: %s
      }
    }
  }
}
)str";
  return absl::StrFormat(format_str, type, type);
}

#define TEST_KERNEL_TYPE_CONSTRAINT(tf_type, dtype)                          \

  %ta:2 = "tf.TensorArrayV3"(%size) {dtype = f32, element_shape = #tf_type.shape<3>, dynamic_size = false, clear_after_read = true, identical_element_shapes = true, tensor_array_name = "ta"} : (tensor<i32>) -> (tensor<!tf_type.resource>, tensor<f32>)

      )

    return inputs, outputs

  def _create_data_generator(
      self,
      input_key: str,
      shape: Sequence[int],
      minval: float = -1.0,
      maxval: float = 1.0,
      dtype: dtypes.DType = dtypes.float32,
      num_examples: int = 8,
  ) -> repr_dataset.RepresentativeDataset:
    """Creates a data generator to be used as representative dataset.

  %1 = "tf_device.cluster"() ({
    %2 = "tf.ReadVariableOp"(%0) {dtype = i32} : (tensor<*x!tf_type.resource<tensor<*xi32>>>) -> tensor<1xi32>
    %3 = "tf.SomeComputation"(%2) : (tensor<1xi32>) -> (tensor<*xi32>)
    "tf.AssignVariableOp"(%0, %3) {dtype = i32} : (tensor<*x!tf_type.resource<tensor<*xi32>>>, tensor<*xi32>) -> ()
    %4 = "tf.ReadVariableOp"(%0) {dtype = i32} : (tensor<*x!tf_type.resource<tensor<*xi32>>>) -> tensor<1xi32>

			// Allocate space to unroll the gcprog. This space will consist of
			// a dummy _type value and the unrolled gcprog. The dummy _type will
			// refer to the bitmap, and the mspan will refer to the dummy _type.
			if span.spanclass.sizeclass() != 0 {
				throw("GCProg for type that isn't large")
			}
			spaceNeeded := alignUp(unsafe.Sizeof(_type{}), goarch.PtrSize)
			heapBitsOff := spaceNeeded