assertThat(graph).isNotEqualTo(g2);
  }

  // Node/edge sets are the same, but node/edge connections differ due to edge type.
  @Test
  public void equivalent_directedVsUndirected() {
    graph.putEdge(N1, N2);

    MutableGraph<Integer> g2 = createGraph(oppositeType(edgeType));
    g2.putEdge(N1, N2);

    assertThat(graph).isNotEqualTo(g2);
  }

  // Node/edge sets and node/edge connections are the same, but directedness differs.

sets, which is *16* 64 = 1024* drives in total.

- *If total number of nodes are of odd number then GCD algorithm provides affinity towards odd number erasure sets to provide for uniform distribution across nodes*. This is to ensure that same number of drives are pariticipating in any erasure set. For example if you have 2 nodes with 180 drives then GCD is 15 but this would lead to uneven distribution, one of the nodes would participate more drives. To avoid this the affinity is given towards...

            _src.advance(1 * _nodes);

            if (node == null) {
                if (_nodes < 0 || _nodes > 0xFFFF) throw new NdrException( NdrException.INVALID_CONFORMANCE );
                node = new byte[_nodes];
            }
            _src = _src.derive(_nodei);
            for (int _i = 0; _i < _nodes; _i++) {
                node[_i] = (byte)_src.dec_ndr_small();
            }
        }
    }

        writeElastisearchJsonApi(zos, id, "nodes", "stats");
        writeElastisearchJsonApi(zos, id, "nodes", "_all");
        writeElastisearchJsonApi(zos, id, "nodes", "usage");
        writeElastisearchJsonApi(zos, id, "remote", "info");
        writeElastisearchJsonApi(zos, id, "tasks", "");
        writeElastisearchJsonApi(zos, id, "nodes", "hot_threads");
    }

}

func main() {
	var node, args string

	flag.StringVar(&node, "local-node-name", "", "the name of the local node")
	flag.StringVar(&args, "args", "", "arguments passed to MinIO server")

	flag.Parse()

	localDisks, err := filterLocalDisks(node, args)
	if err != nil {
		log.Fatal(err)
	}

	if len(localDisks) == 0 {
		log.Fatal("Fix --local-node-name or/and --args to select local disks.")
	}

		"Average dial time of internode TCP calls in nanoseconds")
	internodeSentBytesTotalMD = NewCounterMD(internodeSentBytesTotal,
		"Total number of bytes sent to other peer nodes")
	internodeRecvBytesTotalMD = NewCounterMD(internodeRecvBytesTotal,
		"Total number of bytes received from other peer nodes")
)

// loadNetworkInternodeMetrics - reads internode network metrics.
//
// This is a `MetricsLoaderFn`.

    /**
     * Gets the root node of the dependency graph.
     *
     * @return the root node of the dependency graph or {@code null} if none
     */
    @Nullable
    Node getRoot();

    /**
     * The ordered list of the flattened dependency nodes.
     *
     * @return the ordered list of the flattened dependency nodes
     */
    @Nonnull
    List<Node> getNodes();

    /**

   * all "null" (UNSET).
   *
   * <p>A node with "prev" pointer equal to {@code ENDPOINT} is the first node in the linked list,
   * and a node with "next" pointer equal to {@code ENDPOINT} is the last node.
   */
  @CheckForNull @VisibleForTesting transient long[] links;

  /** Pointer to the first node in the linked list, or {@code ENDPOINT} if there are no entries. */

        try {
            final XPathNodes list = getXPathAPI().selectNodeList(document, "//BASE");
            if (list.size() > 0) {
                final Node node = list.get(0);
                final Node attrNode = node.getAttributes().getNamedItem("href");
                if (attrNode != null) {
                    String attrValue = attrNode.getNodeValue();

  tensorflow::Graph graph TF_GUARDED_BY(mu);

  // Runs shape inference.
  tensorflow::ShapeRefiner refiner TF_GUARDED_BY(mu);

  // Maps from name of an operation to the Node* in 'graph'.
  std::unordered_map<tensorflow::string, tensorflow::Node*> name_map
      TF_GUARDED_BY(mu);

  // The keys of this map are all the active sessions using this graph. Each
  // value records whether the graph has been mutated since the corresponding