absl::flat_hash_map<std::pair<std::vector<int32_t>, std::vector<int32_t>>,
                      std::vector<uint8_t>>
      custom_op_data_map_;
  absl::flat_hash_map<std::pair<std::vector<int32_t>, std::vector<int32_t>>,
                      std::pair<uint64_t, uint64_t>>
      custom_op_idx_map_;

  // Points to TensorFlow and TFLite dialects, respectively. nullptr if the
  // dialect is not registered.

type DNSSRVData struct {
	Target   *uint16
	Priority uint16
	Weight   uint16
	Port     uint16
	Pad      uint16
}

type DNSPTRData struct {
	Host *uint16
}

type DNSMXData struct {
	NameExchange *uint16
	Preference   uint16
	Pad          uint16
}

type DNSTXTData struct {
	StringCount uint16
	StringArray [1]*uint16
}

type DNSRecord struct {

	if r1 == 0 {
		err = errnoErr(e1)
	}
	return
}

func CreateService(mgr Handle, serviceName *uint16, displayName *uint16, access uint32, srvType uint32, startType uint32, errCtl uint32, pathName *uint16, loadOrderGroup *uint16, tagId *uint32, dependencies *uint16, serviceStartName *uint16, password *uint16) (handle Handle, err error) {

	&& x.Op != OpConst16 && sdivisibleOK16(c)
 => (Leq16U
			(RotateLeft16 <typ.UInt16>
				(Add16 <typ.UInt16>
					(Mul16 <typ.UInt16>
						(Const16 <typ.UInt16> [int16(sdivisible16(c).m)])
						x)
					(Const16 <typ.UInt16> [int16(sdivisible16(c).a)])
				)
				(Const16 <typ.UInt16> [int16(16-sdivisible16(c).k)])
			)
			(Const16 <typ.UInt16> [int16(sdivisible16(c).max)])
		)

(Eq32 x (Mul32 (Const32 [c])

						Protocol:  "TCP",
						Port:      uint16(80),
						Scheduler: "rr",
					},
					{
						IP:       "100.101.102.103",
						Port:     3001,
						Protocol: "TCP",
					}: {
						Address:   netutils.ParseIPSloppy("100.101.102.103"),
						Protocol:  "TCP",
						Port:      uint16(3001),
						Scheduler: "rr",
					},
				},

	Ehsize    uint16          /* Size of ELF header in bytes. */
	Phentsize uint16          /* Size of program header entry. */
	Phnum     uint16          /* Number of program header entries. */
	Shentsize uint16          /* Size of section header entry. */
	Shnum     uint16          /* Number of section header entries. */
	Shstrndx  uint16          /* Section name strings section. */
}

	{V(float64(69)), V(int16(69))},
	{V(uint16(70)), V(uint16(70))},
	{V(uint16(71)), V(int32(71))},
	{V(int32(72)), V(uint16(72))},
	{V(uint16(73)), V(uint32(73))},
	{V(uint32(74)), V(uint16(74))},
	{V(uint16(75)), V(int64(75))},
	{V(int64(76)), V(uint16(76))},
	{V(uint16(77)), V(uint64(77))},
	{V(uint64(78)), V(uint16(78))},
	{V(uint16(79)), V(int(79))},
	{V(int(80)), V(uint16(80))},

func (v Value) SetUint(x uint64) {
	v.mustBeAssignable()
	switch k := v.kind(); k {
	default:
		panic(&ValueError{"reflect.Value.SetUint", v.kind()})
	case Uint:
		*(*uint)(v.ptr) = uint(x)
	case Uint8:
		*(*uint8)(v.ptr) = uint8(x)
	case Uint16:
		*(*uint16)(v.ptr) = uint16(x)
	case Uint32:

    int num_elements;
    if (elem_type.isUnsignedInteger()) {
      uint64_t start = start_attr.getUInt();
      uint64_t limit = limit_attr.getUInt();
      uint64_t delta = delta_attr.getUInt();
      assert(start <= (uint64_t)INT_MAX);
      assert(limit <= (uint64_t)INT_MAX);
      assert(delta <= (uint64_t)INT_MAX);
      num_elements =

      int64_t output_spatial_size =
          align_corners ? output_spatial - 1 : output_spatial;

      int64_t gcd =
          tensorflow::MathUtil::GCD(static_cast<uint64_t>(input_spatial_size),
                                    static_cast<uint64_t>(output_spatial_size));
      if ((input_spatial_size % gcd != 0) ||
          (input_spatial_size / gcd != stride) || (dilation - 1 != padding)) {
        return false;
      }