},
			},
			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{
							{

		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
)

    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