// Single number. Some parsers accept this as an IPv4 address in
		// big-endian uint32 form, but we don't.
		"1234",
		// IPv4 with a zone specifier
		"1.2.3.4%eth0",
		// IPv4 field must have at least one digit
		".1.2.3",
		"1.2.3.",
		"1..2.3",
		// IPv4 address too long
		"1.2.3.4.5",
		// IPv4 in dotted octal form
		"0300.0250.0214.0377",
		// IPv4 in dotted hex form
		"0xc0.0xa8.0x8c.0xff",

				return resolveOK
			},
			wantIPs: []string{ip4, ip6},
		},
		{
			desc: "searchX error fails in strict mode",
			resolveWhich: func(quest dnsmessage.Question) resolveWhichEnum {
				if quest.Name.String() == searchX {
					return resolveTimeout
				}
				return resolveOK
			},
			wantStrictErr: makeTimeout(),
			wantIPs:       []string{ip4, ip6},
		},
		{

  // CHECK-SAME: begin_mask = 7 : i64
  // CHECK-SAME: ellipsis_mask = 0 : i64
  // CHECK-SAME: end_mask = 14 : i64
  // CHECK-SAME: new_axis_mask = 0 : i64
  // CHECK-SAME: shrink_axis_mask = 0 : i64

  // CHECK-DAG: %[[LE1:.*]] = "tf.Less"(%[[NUM_UPPER]], %[[ZERO]]) : (tensor<i64>, tensor<i64>) -> tensor<i1>
  // CHECK-DAG: %[[NUM_UPPER_OR_N:.*]] = "tf.SelectV2"(%[[LE1]], %[[N]], %[[NUM_UPPER]]) : (tensor<i1>, tensor<i64>, tensor<i64>) -> tensor<i64>
  // CHECK-DAG: %[[LE2:.*]] = "tf.LessEqual"(%[[OFFSET]], %[[NUM_LOWER_OR_M]]) : (tensor<4x5xi64>, tensor<i64>) -> tensor<4x5xi1>

  %5 = stablehlo.convolution(%arg0, %0) dim_numbers = [b, 0, 1, f]x[0, 1, i, o]->[b, 0, 1, f], window = {pad = [[1, 1], [1, 1]]} {batch_group_count = 1 : i64, feature_group_count = 1 : i64} : (tensor<?x28x28x1xf32>, tensor<3x3x1x16xf32>) -> tensor<?x28x28x16xf32>

  // CHECK: [[max_iter:%.*]] = "tf.StridedSlice"
  %outputs_14  =  "tf.StridedSlice"(%outputs_12, %outputs_2, %outputs_4, %outputs_4) {begin_mask = 0 : i64, device = "/job:localhost/replica:0/task:0/device:CPU:0", ellipsis_mask = 0 : i64, end_mask = 0 : i64, new_axis_mask = 0 : i64, shrink_axis_mask = 1 : i64} : (tensor<2xi32>, tensor<1xi32>, tensor<1xi32>, tensor<1xi32>) -> tensor<i32>
  // CHECK: [[tensor_list:%.*]] = "tf.TensorListReserve"

	tx := proxier.nftables.NewTransaction()
	proxier.setupNFTables(tx)

	// We need to use, eg, "ip daddr" for IPv4 but "ip6 daddr" for IPv6
	ipX := "ip"
	ipvX_addr := "ipv4_addr" //nolint:stylecheck // var name intentionally resembles value
	if proxier.ipFamily == v1.IPv6Protocol {
		ipX = "ip6"
		ipvX_addr = "ipv6_addr"
	}

	// We currently fully-rebuild our sets and maps on each resync

}

// Uses mac prefix and IPv4 address to return a mac address
// This ensures mac addresses are unique for proper load balancing
// There is a possibility of MAC collisions but this Mac address is used for remote endpoints only
// and not sent on the wire.
func conjureMac(macPrefix string, ip net.IP) string {
	if ip4 := ip.To4(); ip4 != nil {
		a, b, c, d := ip4[0], ip4[1], ip4[2], ip4[3]

  "tf.TPUReplicateMetadata"() {_xla_compile_device_type = "TPU", _replication_info = "replicate", device = "/device:TPU:0", num_cores_per_replica = 2 : i64, num_replicas = 2 : i64, topology = "topology"} : () -> ()
  %8 = "tf.opD"(%5) {_xla_compile_device_type = "TPU", _replication_info = "replicate", is_stateless = true} : (tensor<i32>) -> tensor<f32>

      %6 = func.call @__reduce_func_1(%arg3, %5) {_xla_compile_device_type = "TPU"} : (tensor<i64>, tensor<32xf32>) -> tensor<i64>
      "tf.Yield"(%6) : (tensor<i64>) -> ()
    }, {
      "tf.Yield"(%arg3) : (tensor<i64>) -> ()
    }) {_lower_using_switch_merge = true, is_stateless = false} : (tensor<i1>) -> tensor<i64>
    "tf.Yield"(%3, %4) : (tensor<i1>, tensor<i64>) -> ()