*
     * BC no longer seems to allow that out of the box
     *
     * @param expectTag the expected tag number
     * @param limit the maximum length limit
     * @param in the ASN.1 input stream
     * @return coded bytes of the tagged object
     * @throws IOException if reading fails or tag mismatch
     */
    public static byte[] readUnparsedTagged(final int expectTag, final int limit, final ASN1InputStream in) throws IOException {

  internal class LegacyRedirectInterceptor : Interceptor {
    override fun intercept(chain: Interceptor.Chain): Response {
      val response = chain.proceed(chain.request())
      val code = response.code
      if (code != HTTP_TEMP_REDIRECT && code != HTTP_PERM_REDIRECT) return response
      val method = response.request.method
      if (method == "GET" || method == "HEAD") return response

    for (Integer node : graph.nodes()) {
      new EqualsTester()
          .addEqualityGroup(
              graph.predecessors(node), graph.successors(node), graph.adjacentNodes(node))
          .testEquals();
    }
  }

  @Override
  @Test
  public void nodes_checkReturnedSetMutability() {
    assume().that(graphIsMutable()).isTrue();

    Set<Integer> nodes = graph.nodes();

///

## Reduce duplication { #reduce-duplication }

Reducing code duplication is one of the core ideas in **FastAPI**.

As code duplication increments the chances of bugs, security issues, code desynchronization issues (when you update in one place but not in the others), etc.

streaming compression due to its stability and performance.

This algorithm is specifically optimized for machine generated content.
Write throughput is typically at least 500MB/s per CPU core,
and scales with the number of available CPU cores.
Decompression speed is typically at least 1GB/s.

This means that in cases where raw IO is below these numbers
compression will not only reduce disk usage but also help increase system throughput.

     * @return the exceptions that occurred, never {@code null}
     */
    @Nonnull
    List<Exception> getExceptions();

    /**
     * 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.
     *

This topic provides commands to set up different configurations of hosts, nodes, and drives. The examples provided here can be used as a starting point for other configurations.

1. [Standalone Deployment](#standalone-deployment)
2. [Distributed Deployment](#distributed-deployment)

  // Graph copy methods

  /**
   * Returns the subgraph of {@code graph} induced by {@code nodes}. This subgraph is a new graph
   * that contains all of the nodes in {@code nodes}, and all of the {@link Graph#edges() edges}
   * from {@code graph} for which both nodes are contained by {@code nodes}.
   *
   * @throws IllegalArgumentException if any element in {@code nodes} is not a node in the graph
   */

  // Graph copy methods

  /**
   * Returns the subgraph of {@code graph} induced by {@code nodes}. This subgraph is a new graph
   * that contains all of the nodes in {@code nodes}, and all of the {@link Graph#edges() edges}
   * from {@code graph} for which both nodes are contained by {@code nodes}.
   *
   * @throws IllegalArgumentException if any element in {@code nodes} is not a node in the graph
   */

/**
 * {@link Error} variant of {@link java.util.concurrent.ExecutionException}. As with {@code
 * ExecutionException}, the error's {@linkplain #getCause() cause} comes from a failed task,
 * possibly run in another thread. That cause should itself be an {@code Error}; if not, use {@code
 * ExecutionException} or {@link UncheckedExecutionException}. This allows the client code to