{HTTPGet: &core.HTTPGetAction{Path: "/", Port: intstr.FromInt32(1), Host: "", Scheme: "HTTP"}},
		{HTTPGet: &core.HTTPGetAction{Path: "/foo", Port: intstr.FromInt32(65535), Host: "host", Scheme: "HTTP"}},
		{HTTPGet: &core.HTTPGetAction{Path: "/", Port: intstr.FromString("port"), Host: "", Scheme: "HTTP"}},

		{"(*Uint64).Load", Method, 19},
		{"(*Uint64).Store", Method, 19},
		{"(*Uint64).Swap", Method, 19},
		{"(*Uintptr).Add", Method, 19},
		{"(*Uintptr).CompareAndSwap", Method, 19},
		{"(*Uintptr).Load", Method, 19},
		{"(*Uintptr).Store", Method, 19},
		{"(*Uintptr).Swap", Method, 19},
		{"(*Value).CompareAndSwap", Method, 17},
		{"(*Value).Load", Method, 4},
		{"(*Value).Store", Method, 4},

        "properties": {
          "maxSurge": {
            "allOf": [
              {
                "$ref": "#/components/schemas/io.k8s.apimachinery.pkg.util.intstr.IntOrString"
              }
            ],

func rewriteValuegeneric_OpConstInterface(v *Value) bool {
	b := v.Block
	typ := &b.Func.Config.Types
	// match: (ConstInterface)
	// result: (IMake (ConstNil <typ.Uintptr>) (ConstNil <typ.BytePtr>))
	for {
		v.reset(OpIMake)
		v0 := b.NewValue0(v.Pos, OpConstNil, typ.Uintptr)
		v1 := b.NewValue0(v.Pos, OpConstNil, typ.BytePtr)
		v.AddArg2(v0, v1)
		return true
	}
}
func rewriteValuegeneric_OpConstSlice(v *Value) bool {

		// match: (JumpTable idx)
		// result: (JUMPTABLE {makeJumpTableSym(b)} idx (MOVDaddr <typ.Uintptr> {makeJumpTableSym(b)} (SB)))
		for {
			idx := b.Controls[0]
			v0 := b.NewValue0(b.Pos, OpARM64MOVDaddr, typ.Uintptr)
			v0.Aux = symToAux(makeJumpTableSym(b))
			v1 := b.NewValue0(b.Pos, OpSB, typ.Uintptr)
			v0.AddArg(v1)
			b.resetWithControl2(BlockARM64JUMPTABLE, idx, v0)

	case BlockJumpTable:
		// match: (JumpTable idx)
		// result: (JUMPTABLE {makeJumpTableSym(b)} idx (LEAQ <typ.Uintptr> {makeJumpTableSym(b)} (SB)))
		for {
			idx := b.Controls[0]
			v0 := b.NewValue0(b.Pos, OpAMD64LEAQ, typ.Uintptr)
			v0.Aux = symToAux(makeJumpTableSym(b))
			v1 := b.NewValue0(b.Pos, OpSB, typ.Uintptr)
			v0.AddArg(v1)
			b.resetWithControl2(BlockAMD64JUMPTABLE, idx, v0)

.
  }];

  let arguments = (ins
    Arg<TF_NumberTensor, [{the input tensor}]>:$lhs,
    Arg<TF_NumberTensor, [{the kernel tensor}]>:$rhs,
    Arg<TF_I32OrI64Tensor, [{the inter-window strides}]>:$window_strides,
    Arg<TF_I32OrI64Tensor, [{the padding to apply at the start and end of each input dimensions}]>:$padding,
    Arg<TF_I32OrI64Tensor, [{dilation to apply between input elements}]>:$lhs_dilation,

    provides class `ndarray`, which mimics the `ndarray` class in NumPy, and
    wraps an immutable `tf.Tensor` under the hood. A subset of NumPy functions
    (e.g. `numpy.add`) are provided. Their inter-operation with TF facilities is
    seamless in most cases. See
    [tensorflow/python/ops/numpy_ops/README.md](https://github.com/tensorflow/tensorflow/blob/master/tensorflow/python/ops/numpy_ops/README.md)