// Note: These values are public and cannot be changed without
// updating the go/types importers.

const (
	TypeBasic CodeType = iota
	TypeNamed
	TypePointer
	TypeSlice
	TypeArray
	TypeChan
	TypeMap
	TypeSignature
	TypeStruct
	TypeInterface
	TypeUnion
	TypeTypeParam
)

// A CodeObj distinguishes among go/types.Object encodings.
type CodeObj int

func (curve *nistCurve[Point]) normalizeScalar(scalar []byte) []byte {
	byteSize := (curve.params.N.BitLen() + 7) / 8
	if len(scalar) == byteSize {
		return scalar
	}
	s := new(big.Int).SetBytes(scalar)
	if len(scalar) > byteSize {
		s.Mod(s, curve.params.N)
	}
	out := make([]byte, byteSize)
	return s.FillBytes(out)
}

func CountRunes(s string) int { // Issue #24923
	// amd64:`.*countrunes`
	return len([]rune(s))
}

func CountBytes(s []byte) int {
	// amd64:-`.*runtime.slicebytetostring`
	return len(string(s))
}

func ToByteSlice() []byte { // Issue #24698
	// amd64:`LEAQ\ttype:\[3\]uint8`
	// amd64:`CALL\truntime\.newobject`
	// amd64:-`.*runtime.stringtoslicebyte`
	return []byte("foo")
}

  virtual int64_t Dim(int dim_index) const = 0;
  // Returns number of elements across all dimensions.
  virtual int64_t NumElements() const = 0;
  // Return size in bytes of the Tensor
  virtual size_t ByteSize() const = 0;
  // Returns a pointer to tensor data
  virtual void* Data() const = 0;

  // Returns if the tensor is aligned
  virtual bool IsAligned() const = 0;

	}
	kind := decodetypeKind(d.arch, tdata)
	bytesize := decodetypeSize(d.arch, tdata)

	var die, typedefdie *dwarf.DWDie
	switch kind {
	case abi.Bool:
		die = d.newdie(&dwtypes, dwarf.DW_ABRV_BASETYPE, name)
		newattr(die, dwarf.DW_AT_encoding, dwarf.DW_CLS_CONSTANT, dwarf.DW_ATE_boolean, 0)
		newattr(die, dwarf.DW_AT_byte_size, dwarf.DW_CLS_CONSTANT, bytesize, 0)

	case abi.Int,
		abi.Int8,
		abi.Int16,

int64_t TF_Dim(const TF_Tensor* t, int dim_index) {
  return t->tensor->Dim(dim_index);
}

size_t TF_TensorByteSize(const TF_Tensor* t) { return t->tensor->ByteSize(); }

void* TF_TensorData(const TF_Tensor* t) { return t->tensor->Data(); }

int64_t TF_TensorElementCount(const TF_Tensor* t) {
  int64_t result = 1;
  int rank = TF_NumDims(t);

  void Release() override;

  DataType Type() const override;
  int NumDims() const override;
  int64_t Dim(int dim_index) const override;
  int64_t NumElements() const override;
  size_t ByteSize() const override;
  void* Data() const override;
  bool IsAligned() const override;
  bool CanMove() const override;
  std::string SummarizeValue() const override;

			"T", []Type{Typ[Int]},
			true,
		},
		{
			"package differenttypeargs; type T[P any] int",
			"T", []Type{Typ[Int]},
			"T", []Type{Typ[String]},
			false,
		},
		{
			"package typeslice; type T[P any] int",
			"T", []Type{NewSlice(Typ[Int])},
			"T", []Type{NewSlice(Typ[Int])},
			true,
		},
		{
			// interface{interface{...}} is equivalent to interface{...}

}

// Msgsize returns an upper bound estimate of the number of bytes occupied by the serialized message
func (z *xlMetaV2Object) Msgsize() (s int) {

			"T", []Type{Typ[Int]},
			true,
		},
		{
			"package differenttypeargs; type T[P any] int",
			"T", []Type{Typ[Int]},
			"T", []Type{Typ[String]},
			false,
		},
		{
			"package typeslice; type T[P any] int",
			"T", []Type{NewSlice(Typ[Int])},
			"T", []Type{NewSlice(Typ[Int])},
			true,
		},
		{
			// interface{interface{...}} is equivalent to interface{...}