}

// getDestRuleSubsets gets names of subsets that match any pod labels (also, ones that don't match).
func getDestRuleSubsets(subsets []*v1alpha3.Subset, podsLabels []klabels.Set) ([]string, []string) {
	matchingSubsets := make([]string, 0, len(subsets))
	nonmatchingSubsets := make([]string, 0, len(subsets))
	for _, subset := range subsets {
		subsetSelector := klabels.SelectorFromSet(subset.Labels)

    }
  }

  /**
   * Returns the set of all possible subsets of {@code set}. For example, {@code
   * powerSet(ImmutableSet.of(1, 2))} returns the set {@code {{}, {1}, {2}, {1, 2}}}.
   *
   * <p>Elements appear in these subsets in the same iteration order as they appeared in the input
   * set. The order in which these subsets appear in the outer set is undefined. Note that the power

	clusterConfigCmd.PersistentFlags().StringVar(&direction, "direction", "", "Filter clusters by Direction field")
	clusterConfigCmd.PersistentFlags().StringVar(&subset, "subset", "", "Filter clusters by substring of Subset field")
	clusterConfigCmd.PersistentFlags().IntVar(&port, "port", 0, "Filter clusters by Port field")
	clusterConfigCmd.PersistentFlags().StringVarP(&configDumpFile, "file", "f", "",

    }

    @Override
    public NavigableSet<E> subSet(
        E fromElement, boolean fromInclusive, E toElement, boolean toInclusive) {
      synchronized (mutex) {
        return Synchronized.navigableSet(
            delegate().subSet(fromElement, fromInclusive, toElement, toInclusive), mutex);
      }
    }

    @Override
    public SortedSet<E> subSet(E fromElement, E toElement) {

    }

    @Override
    public NavigableSet<E> subSet(
        E fromElement, boolean fromInclusive, E toElement, boolean toInclusive) {
      synchronized (mutex) {
        return Synchronized.navigableSet(
            delegate().subSet(fromElement, fromInclusive, toElement, toInclusive), mutex);
      }
    }

    @Override
    public SortedSet<E> subSet(E fromElement, E toElement) {

// `max_func`. In usual usage, max_func should be set to the result of
// TF_GraphNumFunctions(g). In this case, all the functions registered in
// `g` will be returned. Else, an unspecified subset.
//
// If successful, returns the number of TF_Function* successfully set in
// `funcs` and sets status to OK. The caller takes ownership of
// all the returned TF_Functions. They must be deleted with TF_DeleteFunction.

  TF_Operation* func_feed = Placeholder(host_graph_, s_);
  TF_Operation* func_op = Use({func_feed, five});
  Run({{func_feed, Int32Tensor(2)}}, func_op, 2 /*+=*/ + 5 + 1);

  // Verify input, output, and subset of edges in fdef.
  // The subset of edges we verify is a chain between feed1 and output to
  // make sure that the correct output is picked.
  tensorflow::FunctionDef fdef;
  ASSERT_TRUE(GetFunctionDef(func_, &fdef));

# causing library conflicts (e.g., those reported in github issue 1924).
# On Linux, tell the linker (-Wl,<option>) to use a version script that
# excludes all but a subset of function names.
# On MacOS, the linker does not support version_script, but has an
# an "-exported_symbols_list" command.  -z defs disallows undefined
# symbols in object files.

pywrap_aware_tf_cc_shared_object(