fmt.Fprintln(w, "NAMESPACE\tPOD NAME\tADDRESS\tNODE\tWAYPOINT\tPROTOCOL")

	for _, wl := range verifiedWorkloads {
		address := strings.Join(wl.WorkloadIPs, ",")
		if len(address) == 0 {
			address = wl.Hostname
		}
		waypoint := waypointName(wl, zDump.Services)
		fmt.Fprintf(w, "%v\t%v\t%v\t%v\t%v\t%v\n",
			wl.Namespace, wl.Name, address, wl.Node, waypoint, wl.Protocol)

	}
	return w.Flush()
}

	snap := z.pods.ReadCurrentPodSnapshot()
	for uid, wl := range snap {
		var resp *zdsapi.WorkloadResponse
		var err error
		log := log.WithLabels("uid", uid)
		if wl.Workload != nil {
			log = log.WithLabels(
				"name", wl.Workload.Name,
				"namespace", wl.Workload.Namespace,
				"serviceAccount", wl.Workload.ServiceAccount)
		}
		if wl.Netns != nil {
			fd := int(wl.Netns.Fd())

	p := newPodNetnsCache(openNsTestOverride)

	pod := &corev1.Pod{ObjectMeta: metav1.ObjectMeta{UID: "testUID"}}
	ns := newFakeNsInode(inc(), 1)
	wl := WorkloadInfo{
		Workload: podToWorkload(pod),
		Netns:    ns,
	}
	netns1 := p.UpsertPodCacheWithNetns(string(pod.UID), wl)
	if !reflect.DeepEqual(netns1, ns) {
		t.Fatalf("Expected the same Netns for the same uid, got %v and %v", netns1, ns)
	}

			return r
		}
		return cmp.Compare(a.Info.Namespace, b.Info.Namespace)
	})
	for _, wl := range workloads {
		if filter.Namespace != "" && filter.Namespace != wl.Info.Namespace {
			continue
		}
		name := fmt.Sprintf("%s.%s", wl.Info.Name, wl.Info.Namespace)
		if filter.Direction != "outbound" {
			for _, c := range wl.Connections.Inbound {

    framework_so = [],
    linkopts = select({
        "//tensorflow:macos": [
            "-Wl,-rename_section,__TEXT,text_env,__TEXT,__text",
            "-Wl,-unexported_symbols_list,$(location //tensorflow:tf_private_symbols.lds)",
        ],
        "//tensorflow:windows": [],
        "//tensorflow:freebsd": [
            "-Wl,--version-script,$(location //tensorflow:tf_framework_version_script.lds)",
            "-lexecinfo",

	newnetns, err := p.openNetns(nspath)
	if err != nil {
		return nil, err
	}
	wl := WorkloadInfo{
		Workload: podToWorkload(pod),
		Netns:    newnetns,
	}
	return p.UpsertPodCacheWithNetns(string(pod.UID), wl), nil
}

// Update the cache with the given Netns. If there is already a Netns for the given uid, we return it, and close the one provided.

	// TODO: maybe remove existing uids in s.currentPodSnapshot from the filter set.
	res, err := s.podNs.FindNetnsForPods(pods)
	if err != nil {
		return err
	}

	for uid, wl := range res {
		s.currentPodSnapshot.UpsertPodCacheWithNetns(uid, wl)
	}
	return nil
}

func realDependenciesHost() *dep.RealDependencies {
	return &dep.RealDependencies{
		// We are in the host FS *and* the Host network

# Build TensorFlow v2
build --define=tf_api_version=2 --action_env=TF2_BEHAVIOR=1

# Use lld as the linker
build --linkopt="-fuse-ld=lld"
build --linkopt="-lm"
build --linkopt="-Wl,--undefined-version"

# Prevent double-compilation of some TF code, ref. b/183279666 (internal)
# > TF's gen_api_init_files has a genrule to run the core TensorFlow code

    if gcc_env is not None:

      # Use gold linker if 'gcc' and if 'ppc64le'
      write_to_bazelrc('build --linkopt="-fuse-ld=gold"')

      # Get the linker version
      ld_version = run_shell([gcc_env, '-Wl,-version']).split()

      ld_version_int = convert_version_to_int(ld_version[3])
      if ld_version_int is None:
        ld_version_int = convert_version_to_int(ld_version[4])

build:release_linux_base --linkopt="-fuse-ld=lld"
build:release_linux_base --linkopt="-lm"

# We have some invalid linker scripts in the build,
# so we need to disable this check
build:release_linux_base --linkopt=-Wl,--undefined-version

# Container environment settings below this point.
# Use Python 3.X as installed in container image
build:release_linux_base --action_env PYTHON_BIN_PATH="/usr/bin/python3"