Following this checklist to help us incorporate your
contribution quickly and easily:

- [ ] Your pull request should address just one issue, without pulling in other changes.
- [ ] Write a pull request description that is detailed enough to understand what the pull request does, how, and why.
- [ ] Each commit in the pull request should have a meaningful subject line and body.
  Note that commits might be squashed by a maintainer on merge.

    }

    /*
     * These are all the smbs supported by this library. This includes requests
     * and well as their responses for each type however the actuall implementations
     * of the readXxxWireFormat and writeXxxWireFormat methods may not be in
     * place. For example at the time of this writing the readXxxWireFormat
     * for requests and the writeXxxWireFormat for responses are not implemented

            throw new ArtifactResolutionException(
                    "Unknown error during artifact resolution, " + request + ", " + result.getExceptions(),
                    request.getArtifact(),
                    request.getRemoteRepositories());
        }
    }

    private static <T> List<T> toList(Collection<T> items) {
        return (items != null) ? new ArrayList<>(items) : null;
    }

     * @param pageSize the number of documents to include in the page
     * @param startPosition the starting position for pagination
     * @return sublist of documents for the requested page
     */
    protected List<Map<String, Object>> extractList(final List<Map<String, Object>> docs, final int pageSize, final int startPosition) {
        final int size = docs.size();
        if (size == 0) {

pull requests are approved and pass continuous integration checks, a TensorFlow
team member will apply `ready to pull` label to your change. This means we are
working on getting your pull request submitted to our internal repository. After
the change has been submitted internally, your pull request will be merged
automatically on GitHub.

If you want to contribute, start working through the TensorFlow codebase,
navigate to the

    try {
      while (true) {
        Request request = requestQueue.take();
        Object result;
        try {
          result = invokeMethod(request.methodName, request.arguments);
        } catch (ThreadDeath death) {
          return;
        } catch (InvocationTargetException exception) {
          responseQueue.put(new Response(request.methodName, null, exception.getTargetException()));
          continue;

De esa forma, tu aplicación no tendrá que generar el esquema cada vez que un usuario abra la documentación de tu API.

Se generará solo una vez, y luego se usará el mismo esquema cacheado para las siguientes requests.

{* ../../docs_src/extending_openapi/tutorial001.py hl[13:14,25:26] *}

### Sobrescribir el método

Ahora puedes reemplazar el método `.openapi()` por tu nueva función.

    private boolean notificationEnabled;
    private int notificationFilter;

    /**
     * Create a new directory lease context
     *
     * @param key the lease key
     * @param leaseState requested lease state
     * @param scope cache scope for directory entries
     */
    public DirectoryLeaseContext(Smb2LeaseKey key, int leaseState, DirectoryCacheScope scope) {
        this.leaseKey = key;

                // Perform RPC registration
                WitnessRegisterRequest request = new WitnessRegisterRequest();
                request.setVersion(registration.getVersion().getValue());
                request.setShareName(shareName);
                request.setServerAddress(serverAddress.getHostAddress());
                request.setFlags(registration.getFlags());

import java.io.IOException;
import okhttp3.OkHttpClient;
import okhttp3.Request;
import okhttp3.Response;

public class GetExample {
  final OkHttpClient client = new OkHttpClient();

  String run(String url) throws IOException {
    Request request = new Request.Builder()
        .url(url)
        .build();

    try (Response response = client.newCall(request).execute()) {
      return response.body().string();
    }
  }