}
	// match: (ADDshiftLL x (MOVDconst [c]) [d])
	// result: (ADDconst x [int64(uint64(c)<<uint64(d))])
	for {
		d := auxIntToInt64(v.AuxInt)
		x := v_0
		if v_1.Op != OpARM64MOVDconst {
			break
		}
		c := auxIntToInt64(v_1.AuxInt)
		v.reset(OpARM64ADDconst)
		v.AuxInt = int64ToAuxInt(int64(uint64(c) << uint64(d)))
		v.AddArg(x)
		return true
	}

	// result: (Add64 (Add64 <typ.UInt64> (Add64 <typ.UInt64> (Lsh64x64 <typ.UInt64> (ZeroExt32to64 (Div32u <typ.UInt32> (Trunc64to32 <typ.UInt32> (Rsh64Ux64 <typ.UInt64> x (Const64 <typ.UInt64> [32]))) (Const32 <typ.UInt32> [int32(c)]))) (Const64 <typ.UInt64> [32])) (ZeroExt32to64 (Div32u <typ.UInt32> (Trunc64to32 <typ.UInt32> x) (Const32 <typ.UInt32> [int32(c)])))) (Mul64 <typ.UInt64> (ZeroExt32to64 <typ.UInt64> (Mod32u <typ.UInt32> (Trunc64to32 <typ.UInt32> (Rsh64Ux64...

		if !(x > int64(y) && uint64(x) < uint64(int64(y))) {
			break
		}
		v.reset(OpAMD64FlagGT_ULT)
		return true
	}
	// match: (CMPQconst (MOVQconst [x]) [y])
	// cond: x>int64(y) && uint64(x)>uint64(int64(y))
	// result: (FlagGT_UGT)
	for {
		y := auxIntToInt32(v.AuxInt)
		if v_0.Op != OpAMD64MOVQconst {
			break
		}
		x := auxIntToInt64(v_0.AuxInt)
		if !(x > int64(y) && uint64(x) > uint64(int64(y))) {

		{"(*Uint32).Load", Method, 19},
		{"(*Uint32).Store", Method, 19},
		{"(*Uint32).Swap", Method, 19},
		{"(*Uint64).Add", Method, 19},
		{"(*Uint64).CompareAndSwap", Method, 19},
		{"(*Uint64).Load", Method, 19},
		{"(*Uint64).Store", Method, 19},
		{"(*Uint64).Swap", Method, 19},
		{"(*Uintptr).Add", Method, 19},
		{"(*Uintptr).CompareAndSwap", Method, 19},
		{"(*Uintptr).Load", Method, 19},

		}
	}
}

func TestValidatePodSpec(t *testing.T) {
	activeDeadlineSeconds := int64(30)
	activeDeadlineSecondsMax := int64(math.MaxInt32)

	minUserID := int64(0)
	maxUserID := int64(2147483647)
	minGroupID := int64(0)
	maxGroupID := int64(2147483647)
	goodfsGroupChangePolicy := core.FSGroupChangeAlways
	badfsGroupChangePolicy1 := core.PodFSGroupChangePolicy("invalid")

  let arguments = (ins
    Arg<TF_I32OrI64Tensor, [{The shape of the output tensor.}]>:$shape,
    Arg<TF_Uint64Tensor, [{Key for the counter-based RNG algorithm (shape uint64[1]).}]>:$key,
    Arg<TF_Uint64Tensor, [{Initial counter for the counter-based RNG algorithm (shape uint64[2] or uint64[1] depending on the algorithm). If a larger vector is given, only the needed portion on the left (i.e. [:N]) will be used.}]>:$counter,

          },
          "revision": {
            "default": 0,
            "description": "Revision indicates the revision of the state represented by Data.",
            "format": "int64",
            "type": "integer"
          }
        },
        "required": [
          "revision"
        ],
        "type": "object",
        "x-kubernetes-group-version-kind": [
          {

                              with respect to the current state of the instance.
                            format: int64
                            minimum: 0
                            type: integer
                          reason:
                            description: |-

        *   `tf.where` op for data types
            `tf.int32`/`tf.uint32`/`tf.int8`/`tf.uint8`/`tf.int64`.
        *   `tf.random.normal` op for output data type `tf.float32` on CPU.
        *   `tf.random.uniform` op for output data type `tf.float32` on CPU.
        *   `tf.random.categorical` op for output data type `tf.int64` on CPU.

*   `tensorflow.experimental.tensorrt`:

            "description": "BoolValue is a true/false value.",
            "type": "boolean"
          },
          "int": {
            "description": "IntValue is a 64-bit integer.",
            "format": "int64",
            "type": "integer"
          },
          "intSlice": {
            "allOf": [
              {
                "$ref": "#/components/schemas/io.k8s.api.resource.v1alpha2.NamedResourcesIntSlice"