"Cannot add self-loop edge on node %s, as self-loops are not allowed. To construct a graph "
          + "that allows self-loops, call allowsSelfLoops(true) on the Builder.";
  static final String NOT_AVAILABLE_ON_UNDIRECTED =
      "Cannot call source()/target() on a EndpointPair from an undirected graph. Consider calling "
          + "adjacentNode(node) if you already have a node, or nodeU()/nodeV() if you don't.";

        assertThat(network.edgesConnecting(node, adjacentNode))
            .containsExactlyElementsIn(network.edgesConnecting(adjacentNode, node));
      }
    }
  }

  @Override
  @Test
  public void nodes_checkReturnedSetMutability() {
    Set<Integer> nodes = network.nodes();
    assertThrows(UnsupportedOperationException.class, () -> nodes.add(N2));
    addNode(N1);

		wg.Add(1)
		// Send refresh request to all nodes
		go func(index int, c NetLocker) {
			defer wg.Done()
			c.ForceUnlock(ctx, args)
		}(index, c)
	}
	wg.Wait()
}

type refreshResult struct {
	offline   bool
	refreshed bool
}

// Refresh the given lock in all nodes, return true to indicate if a lock
// does not exist in enough quorum nodes.

    assertThat(network.nodes()).containsExactly("A");
    assertThat(network.edges()).isEmpty();
  }

  @Test
  public void immutableNetworkBuilder_putEdgeFromNodes() {
    ImmutableNetwork<String, Integer> network =
        NetworkBuilder.directed().<String, Integer>immutable().addEdge("A", "B", 10).build();

    assertThat(network.nodes()).containsExactly("A", "B");

 * implementors</a>
 *
 * @author Joshua O'Madadhain
 * @author Jens Nyman
 * @param <N> Node parameter type
 * @since 23.0
 */
@DoNotMock("Implement with a lambda, or use GraphBuilder to build a Graph with the desired edges")
public interface SuccessorsFunction<N> {

  /**

    for node in nodes:
        tiers[node.tier.monthlyPriceInDollars][node.sponsorEntity.login] = (
            node.sponsorEntity
        )
    return tiers


def update_content(*, content_path: Path, new_content: Any) -> bool:
    old_content = content_path.read_text(encoding="utf-8")

    new_content = yaml.dump(new_content, sort_keys=False, width=200, allow_unicode=True)

package disk

// Info stat fs struct is container which holds following values
// Total - total size of the volume / disk
// Free - free size of the volume / disk
// Files - total inodes available
// Ffree - free inodes available
// FSType - file system type
// Major - major dev id
// Minor - minor dev id
// Devname - device name
type Info struct {
	Total      uint64
	Free       uint64
	Used       uint64

    return delegate().inDegree(node);
  }

  @Override
  public int outDegree(N node) {
    return delegate().outDegree(node);
  }

  @Override
  public boolean hasEdgeConnecting(N nodeU, N nodeV) {
    return delegate().hasEdgeConnecting(nodeU, nodeV);
  }

  @Override
  public boolean hasEdgeConnecting(EndpointPair<N> endpoints) {
    return delegate().hasEdgeConnecting(endpoints);
  }

  @Override

		ReplicatedSize:  totReplicatedSize,
		ReplicatedCount: totReplicatedCount,
		Failed:          totFailed.toMetric(),
	}

	var qs ReplicationQueueStats
	for _, bs := range bucketStats {
		qs.Nodes = append(qs.Nodes, bs.QueueStats.Nodes...)
	}
	qs.Uptime = UTCNow().Unix() - globalBootTime.Unix()

	var ps ProxyMetric
	for _, bs := range bucketStats {
		ps.add(bs.ProxyStats)
	}
	bs = BucketStats{

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...