b.Run("UpdateObjectVersion", func(b *testing.B) {
				b.SetBytes(int64(size))
				b.ResetTimer()
				b.ReportAllocs()
				for i := 0; i < b.N; i++ {
					// Load...
					xl = xlMetaV2{}
					err := xl.Load(enc)
					if err != nil {
						b.Fatal(err)
					}
					// Update modtime for resorting...
					fi.ModTime = fi.ModTime.Add(-time.Second)
					// Update a random version.

                        description: Maximum % of hosts in the load balancing pool
                          for the upstream service that can be ejected.
                        format: int32
                        type: integer
                      minHealthPercent:
                        description: Outlier detection will be enabled as long as
                          the associated load balancing pool has at least min_health_percent

    @PostConstruct
    public void init() {
        if (logger.isDebugEnabled()) {
            logger.debug("Initialize {}", this.getClass().getSimpleName());
        }
        load();
    }

    @Override
    public int load() {
        final List<String> ptList = getProcessTypeList();

        try {
            final PathMappingBhv pathMappingBhv = ComponentUtil.getComponent(PathMappingBhv.class);

    final AtomicInteger loadAllCount = new AtomicInteger();

    CacheLoader<Object, Object> baseLoader =
        new CacheLoader<Object, Object>() {
          @Override
          public Object load(Object key) {
            loadCount.incrementAndGet();
            return new Object();
          }

          @Override
          public ListenableFuture<Object> reload(Object key, Object oldValue) {

# Experimental windows filesystem plugin.
load("//tensorflow:tensorflow.bzl", "get_win_copts", "tf_cc_shared_object")
load("//tensorflow/core/platform:rules_cc.bzl", "cc_library")

package(
    # copybara:uncomment default_applicable_licenses = ["//tensorflow:license"],
    licenses = ["notice"],
)

# Filesystem implementation for Windows environment
tf_cc_shared_object(
    name = "windows_filesystem.dll",
    framework_so = [],

  private static final double DESIRED_LOAD_FACTOR = 0.5;

  /**
   * Returns an array size suitable for the backing array of a hash table that uses open addressing
   * with linear probing in its implementation. The returned size is the smallest power of two that
   * can hold setSize elements with the desired load factor.
   */
  @VisibleForTesting
  static int chooseTableSize(int setSize) {

		}

		httpStats := globalBucketHTTPStats.load(bucket)
		for k, v := range httpStats.currentS3Requests.Load(false) {
			m.Set(apiRequestsInFlightTotal, float64(v), "bucket", bucket, "name", k, "type", "s3")
		}

		for k, v := range httpStats.totalS3Requests.Load(false) {
			m.Set(apiRequestsTotal, float64(v), "bucket", bucket, "name", k, "type", "s3")
		}

  static final int DEFAULT_NODE_COUNT = 10;
  static final int DEFAULT_EDGE_COUNT = DEFAULT_NODE_COUNT * EXPECTED_DEGREE;

  // Load factor and capacity for "inner" (i.e. per node/edge element) hash sets or maps
  static final float INNER_LOAD_FACTOR = 1.0f;
  static final int INNER_CAPACITY = 2; // ceiling(EXPECTED_DEGREE / INNER_LOAD_FACTOR)

  // Error messages
  static final String NODE_NOT_IN_GRAPH = "Node %s is not an element of this graph.";

  }

  static <N, E> DirectedMultiNetworkConnections<N, E> of() {
    return new DirectedMultiNetworkConnections<>(
        new HashMap<E, N>(INNER_CAPACITY, INNER_LOAD_FACTOR),
        new HashMap<E, N>(INNER_CAPACITY, INNER_LOAD_FACTOR),
        0);
  }

  static <N, E> DirectedMultiNetworkConnections<N, E> ofImmutable(
      Map<E, N> inEdges, Map<E, N> outEdges, int selfLoopCount) {

      case UNORDERED:
        return new UndirectedGraphConnections<>(
            new HashMap<N, V>(INNER_CAPACITY, INNER_LOAD_FACTOR));
      case STABLE:
        return new UndirectedGraphConnections<>(
            new LinkedHashMap<N, V>(INNER_CAPACITY, INNER_LOAD_FACTOR));
      default:
        throw new AssertionError(incidentEdgeOrder.type());
    }
  }