},
			},
			nil,
			[]string{"0.0.0.0_80", "0.0.0.0_8080", "127.0.0.1_8080"},
		},
		{
			"gateway with simple and passthrough",
			&pilot_model.Proxy{},
			[]config.Config{
				{
					Meta: config.Meta{Name: uuid.NewString(), Namespace: uuid.NewString(), GroupVersionKind: gvk.Gateway},
					Spec: &networking.Gateway{
						Servers: []*networking.Server{
							{

      },
      "last_updated": "2023-06-20T09:07:41.944Z"
     }
    },
    {
     "name": "0.0.0.0_9080",
     "active_state": {
      "version_info": "2023-06-20T09:07:41Z/3",
      "listener": {
       "@type": "type.googleapis.com/envoy.config.listener.v3.Listener",
       "name": "0.0.0.0_9080",
       "address": {
        "socket_address": {
         "address": "0.0.0.0",
         "port_value": 9080

		add rule ip kube-proxy service-MHHHYRWA-ns2/svc2/tcp/p8080 ip daddr 172.30.0.42 tcp dport 8080 ip saddr != 10.0.0.0/8 jump mark-for-masquerade
		add rule ip kube-proxy service-MHHHYRWA-ns2/svc2/tcp/p8080 numgen random mod 1 vmap { 0 : goto endpoint-7RVP4LUQ-ns2/svc2/tcp/p8080__10.0.2.1/8080 }
		add chain ip kube-proxy endpoint-7RVP4LUQ-ns2/svc2/tcp/p8080__10.0.2.1/8080

	S_IFBLK  = 0x6000
	S_IFREG  = 0x8000
	S_IFLNK  = 0xa000
	S_IFSOCK = 0xc000
	S_ISUID  = 0x800
	S_ISGID  = 0x400
	S_ISVTX  = 0x200
	S_IRUSR  = 0x100
	S_IWRITE = 0x80
	S_IWUSR  = 0x80
	S_IXUSR  = 0x40
)

const (
	FILE_TYPE_CHAR    = 0x0002
	FILE_TYPE_DISK    = 0x0001
	FILE_TYPE_PIPE    = 0x0003
	FILE_TYPE_REMOTE  = 0x8000
	FILE_TYPE_UNKNOWN = 0x0000
)

	// Block 0x41, offset 0x1040
	0x1060: 0x000c, 0x1061: 0x000c, 0x1062: 0x000c,
	0x1067: 0x000c, 0x1068: 0x000c,
	0x1072: 0x000c,
	0x1079: 0x000c, 0x107a: 0x000c, 0x107b: 0x000c,
	// Block 0x42, offset 0x1080
	0x1080: 0x000a, 0x1084: 0x000a, 0x1085: 0x000a,
	// Block 0x43, offset 0x10c0
	0x10de: 0x000a, 0x10df: 0x000a, 0x10e0: 0x000a, 0x10e1: 0x000a, 0x10e2: 0x000a, 0x10e3: 0x000a,

	// Block 0x41, offset 0x1040
	0x1060: 0x000c, 0x1061: 0x000c, 0x1062: 0x000c,
	0x1067: 0x000c, 0x1068: 0x000c,
	0x1072: 0x000c,
	0x1079: 0x000c, 0x107a: 0x000c, 0x107b: 0x000c,
	// Block 0x42, offset 0x1080
	0x1080: 0x000a, 0x1084: 0x000a, 0x1085: 0x000a,
	// Block 0x43, offset 0x10c0
	0x10de: 0x000a, 0x10df: 0x000a, 0x10e0: 0x000a, 0x10e1: 0x000a, 0x10e2: 0x000a, 0x10e3: 0x000a,

	0x7f0: 0x000c, 0x7f1: 0x000c, 0x7f5: 0x000c,
	// Block 0x20, offset 0x800
	0x801: 0x000c, 0x802: 0x000c, 0x803: 0x000c, 0x804: 0x000c, 0x805: 0x000c,
	0x807: 0x000c, 0x808: 0x000c,
	0x80d: 0x000c,
	0x822: 0x000c, 0x823: 0x000c,
	0x831: 0x0004,
	// Block 0x21, offset 0x840
	0x841: 0x000c,
	0x87c: 0x000c, 0x87f: 0x000c,
	// Block 0x22, offset 0x880
	0x881: 0x000c, 0x882: 0x000c, 0x883: 0x000c, 0x884: 0x000c,
	0x88d: 0x000c,

	0x7c7: 0x000c, 0x7c8: 0x000c, 0x7cb: 0x000c,
	0x7cc: 0x000c, 0x7cd: 0x000c, 0x7d1: 0x000c,
	0x7f0: 0x000c, 0x7f1: 0x000c, 0x7f5: 0x000c,
	// Block 0x20, offset 0x800
	0x801: 0x000c, 0x802: 0x000c, 0x803: 0x000c, 0x804: 0x000c, 0x805: 0x000c,
	0x807: 0x000c, 0x808: 0x000c,
	0x80d: 0x000c,
	0x822: 0x000c, 0x823: 0x000c,
	0x831: 0x0004,
	0x83a: 0x000c, 0x83b: 0x000c,
	0x83c: 0x000c, 0x83d: 0x000c, 0x83e: 0x000c, 0x83f: 0x000c,

	{0x1C85, 0x1C85, d{-6243, 0, -6243}},
	{0x1C86, 0x1C86, d{-6236, 0, -6236}},
	{0x1C87, 0x1C87, d{-6181, 0, -6181}},
	{0x1C88, 0x1C88, d{35266, 0, 35266}},
	{0x1C90, 0x1CBA, d{0, -3008, 0}},
	{0x1CBD, 0x1CBF, d{0, -3008, 0}},
	{0x1D79, 0x1D79, d{35332, 0, 35332}},
	{0x1D7D, 0x1D7D, d{3814, 0, 3814}},
	{0x1D8E, 0x1D8E, d{35384, 0, 35384}},
	{0x1E00, 0x1E95, d{UpperLower, UpperLower, UpperLower}},

    class MatmulModel(module.Module):

      def __init__(self, bias: Optional[core.Tensor]):
        self._bias = bias
        self._kernel = np.random.uniform(size=y_shape).astype('f4')
        self._min = (-0.8, -0.8, -0.9)
        self._max = (0.9, 0.9, 1.0)

      @def_function.function(
          input_signature=[
              tensor_spec.TensorSpec(
                  name='x', shape=shapes[0], dtype=dtypes.float32