*/
  private val connectResults = taskRunner.backend.decorate(LinkedBlockingDeque<ConnectResult>())

  override fun find(): RealConnection {
    var firstException: IOException? = null
    try {
      while (tcpConnectsInFlight.isNotEmpty() || routePlanner.hasNext()) {
        if (routePlanner.isCanceled()) throw IOException("Canceled")

        // Launch a new connection if we're ready to.

 *     lookups) and attempt new connections to them. When failures occur, retries iterate the
 *     list of available routes.
 *
 * If the pool gains an eligible connection while DNS, TCP, or TLS work is in flight, this finder
 * will prefer pooled connections. Only pooled HTTP/2 connections are used for such de-duplication.
 *
 * It is possible to cancel the finding process by canceling its call.
 *

But you can still document it as described in [Additional Responses in OpenAPI](additional-responses.md).

            if (stream == null) {
                throw new IOException("Invalid tokenizer.");
            }
            stream.reset();

            int offset = 0;
            while (stream.incrementToken()) {
                final CharTermAttribute att = stream.getAttribute(CharTermAttribute.class);
                final String term = att.toString();

   * 4. The main difference is that this method uses "::" for zero compression, while Java's version
   * uses the uncompressed form (except on Android, where the zero compression is also done). The
   * other difference is that this method outputs any scope ID in the format that it was provided at
   * creation time, while Android may always output it as an interface name, even if it was supplied
   * as a numeric ID.
   *

   * at all are provided (an empty list), the resulting Cartesian product has one element, an empty
   * list (counter-intuitive, but mathematically consistent).
   *
   * <p><i>Performance notes:</i> while the cartesian product of lists of size {@code m, n, p} is a
   * list of size {@code m x n x p}, its actual memory consumption is much smaller. When the

        log.debug("Notification affects {} registrations", affectedRegistrations);
    }

    /**
     * Main server loop - simplified implementation
     */
    private void runServer() {
        while (running.get() && !serverSocket.isClosed()) {
            try {
                Socket clientSocket = serverSocket.accept();
                // In a real implementation, this would handle RPC requests

def get_pr_nodes(settings: Settings) -> list[PullRequestNode]:
    pr_nodes: list[PullRequestNode] = []
    pr_edges = get_graphql_pr_edges(settings=settings)

    while pr_edges:
        for edge in pr_edges:
            pr_nodes.append(edge.node)
        last_edge = pr_edges[-1]
        pr_edges = get_graphql_pr_edges(settings=settings, after=last_edge.cursor)
    return pr_nodes

            
            while (interfaces.hasMoreElements()) {
                NetworkInterface ni = interfaces.nextElement();
                
                if (!ni.isUp() || ni.isLoopback() || ni.isVirtual()) {
                    continue;
                }
                
                Enumeration<InetAddress> addresses = ni.getInetAddresses();
                while (addresses.hasMoreElements()) {

        int n;

        in = new byte[IN_SIZE];
        final InputStream is = getClass().getClassLoader().getResourceAsStream("jcifs/smb1/util/mime.map");

        inLen = 0;
        while ((n = is.read(in, inLen, IN_SIZE - inLen)) != -1) {
            inLen += n;
        }
        if (inLen < 100 || inLen == IN_SIZE) {
            throw new IOException("Error reading jcifs/smb1/util/mime.map resource");