class WebSocketReaderTest {
  private val data = Buffer()
  private val callback = WebSocketRecorder("client")
  private val random = Random(0)

  // Mutually exclusive. Use the one corresponding to the peer whose behavior you wish to test.
  private val serverReader =
    WebSocketReader(
      isClient = false,
      source = data,
      frameCallback = callback.asFrameCallback(),
      perMessageDeflate = false,

   * key, the choice of {@link KeyAbsentBehavior} decides which index is returned.
   *
   * <p>This method runs in log(n) time on random-access lists, which offer near-constant-time
   * access to each list element.
   *
   * @param list the list to be searched.
   * @param key the value to be searched for.
   * @param comparator the comparator by which the list is ordered.

          <association>
            <type>Repository</type>
            <multiplicity>*</multiplicity>
          </association>
          <comment>
            This may be removed or relocated in the near
            future. It is undecided whether plugins really need a remote
            repository set of their own.
          </comment>
        </field>
        <field xdoc.separator="blank">

| `minio_node_drive_reads_per_sec`     | Reads per second on a drive.                             |
| `minio_node_drive_reads_kb_per_sec`  | Kilobytes read per second on a drive.                    |
| `minio_node_drive_reads_await`       | Average time for read requests to be served on a drive.  |
| `minio_node_drive_writes_per_sec`    | Writes per second on a drive.                            |

```Python hl_lines="2-5  15  21"
{!../../docs_src/handling_errors/tutorial006.py!}
```

// executes at least one write operation if it is closed.
//
// This can be useful within the context of HTTP. At least
// one write operation must happen to send the HTTP headers
// to the peer.
type WriteOnCloser struct {
	io.Writer
	hasWritten bool
}

func (w *WriteOnCloser) Write(p []byte) (int, error) {
	w.hasWritten = true
	return w.Writer.Write(p)
}

Um dos principais recursos necessários em sistemas API é "<abbr title="também chamado _ marshalling, conversão">serialização</abbr>" de dados, que é pegar dados do código (Python) e converter eles em alguma coisa que possa ser enviado através da rede. Por exemplo, converter um objeto contendo dados de um banco de dados em um objeto JSON. Converter objetos `datetime` em strings etc.

                                    allowed for a peer on one HTTP/2 connection.
                                  format: int32
                                  type: integer
                                maxRequestsPerConnection:
                                  description: Maximum number of requests per connection
                                    to a backend.

    for (int i = 0; i < elementCount; i++) {
      E element = (E) stream.readObject();
      add(element);
    }
  }

  /*
   * For discussion of the safety of the following methods, see the comments near the end of
   * CompactHashMap.
   */

  private Object requireTable() {
    return requireNonNull(table);
  }

  private int[] requireEntries() {
    return requireNonNull(entries);
  }

* Seriously impressive performance. It is <a href="https://github.com/encode/starlette#performance" class="external-link" target="_blank">one of the fastest Python frameworks available, on par with **NodeJS** and **Go**</a>.
* **WebSocket** support.
* In-process background tasks.
* Startup and shutdown events.
* Test client built on HTTPX.
* **CORS**, GZip, Static Files, Streaming responses.