// CHECK-SAME: recv_key = "host_compute_channel_recv"
  // CHECK-SAME: send_key = "host_compute_channel_send"
  // CHECK-SAME: shape_inference_graph = @host_func
  // CHECK-SAME: shapes = [#tf_type.shape<*>, #tf_type.shape<3x?>]
  // CHECK-SAME: tpu_core = 0 : i64
  // CHECK: func @host_func
  // CHECK: %[[RECV_OUTPUT:[0-9]*]]:2 = "tf._XlaRecvAtHost"
  // CHECK-SAME: key = "host_compute_channel_send"

	retRegs []string
	// calculated during initialization
	sizes    types.Sizes
	intSize  int
	ptrSize  int
	maxAlign int
}

// An asmFunc describes the expected variables for a function on a given architecture.
type asmFunc struct {
	arch        *asmArch
	size        int // size of all arguments
	vars        map[string]*asmVar
	varByOffset map[int]*asmVar
}

func prf12(hashFunc func() hash.Hash) func(result, secret, label, seed []byte) {
	return func(result, secret, label, seed []byte) {
		labelAndSeed := make([]byte, len(label)+len(seed))
		copy(labelAndSeed, label)
		copy(labelAndSeed[len(label):], seed)

		pHash(result, secret, labelAndSeed, hashFunc)
	}
}

const (

 %1965:4 = "tf._XlaHostComputeMlir"(%0, %cst_34, %cst_63, %cst_33) <{host_mlir_module = "#loc1 = loc(\22Reshape:\22)\0A#loc2 = loc(\22Reshape_4\22)\0A#loc3 = loc(\22Reshape\22)\0A#loc9 = loc(fused[#loc1, #loc2, #loc3])\0Amodule {\0A  func.func @host_func(%arg0: tensor<3360x?xi32> loc(fused[#loc1, #loc2, #loc3]), %arg1: tensor<3xi32> loc(fused[#loc1, #loc2, #loc3]), %arg2: tensor<i32> loc(fused[#loc1, #loc2, #loc3]), %arg3: tensor<2xi32> loc(fused[#loc1, #loc2, #loc3])) -> (tensor<1x1120x?xi32>, ...

// CountFunc represents the COUNT sql function
type CountFunc struct {
	StarArg bool        `parser:" \"COUNT\" \"(\" ( @\"*\"?"`
	ExprArg *Expression `parser:" @@? )! \")\""`
}

// CastFunc represents CAST sql function
type CastFunc struct {
	Expr     *Expression `parser:" \"CAST\" \"(\" @@ "`

          %outputs_5, %control_6 = tf_executor.island(%control_4) wraps "tf._XlaHostComputeMlir"() {host_mlir_module = "module {\0A func.func @host_func() -> tensor<1x2xf32> {\0A %0 = \22tf.Const\22() {value = dense<0.1> : tensor<1x2xf32>} : () -> tensor<1x2xf32> \0A return %0 : tensor<1x2xf32>}}", manual_sharding = true, recv_key = "host_compute_channel_1_retvals", send_key = "host_compute_channel_1_args"}...

func hashForServerKeyExchange(sigType uint8, hashFunc crypto.Hash, version uint16, slices ...[]byte) []byte {
	if sigType == signatureEd25519 {
		var signed []byte
		for _, slice := range slices {
			signed = append(signed, slice...)
		}
		return signed
	}
	if version >= VersionTLS12 {
		h := hashFunc.New()
		for _, slice := range slices {
			h.Write(slice)
		}

		return m
	}

	// No return - type-assertions above. Each case must return for itself.
}

// as2func orders OAS2FUNC nodes. It creates temporaries to ensure left-to-right assignment.
// The caller should order the right-hand side of the assignment before calling order.as2func.
// It rewrites,
//
//	a, b, a = ...
//
// as
//
//	tmp1, tmp2, tmp3 = ...
//	a, b, a = tmp1, tmp2, tmp3

	// zero, it overrides the hash function passed to SignPSS. It's required
	// when using PrivateKey.Sign.
	Hash crypto.Hash
}

// HashFunc returns opts.Hash so that [PSSOptions] implements [crypto.SignerOpts].
func (opts *PSSOptions) HashFunc() crypto.Hash {
	return opts.Hash
}

func (opts *PSSOptions) saltLength() int {
	if opts == nil {
		return PSSSaltLengthAuto
	}

}

int TF_GraphGetFunctions(TF_Graph* g, TF_Function** funcs, int max_func,
                         TF_Status* status) {
  tensorflow::FunctionDefLibrary lib;
  {
    tensorflow::mutex_lock l(g->mu);
    lib = g->graph.flib_def().ToProto();
  }
  const auto len = std::min(max_func, static_cast<int>(lib.function_size()));
  for (int i = 0; i < len; ++i) {