@Override
    public void close() {}

    @Override
    public String toString() {
      return "CharStreams.nullWriter()";
    }
  }

  /**
   * Returns a Writer that sends all output to the given {@link Appendable} target. Closing the
   * writer will close the target if it is {@link Closeable}, and flushing the writer will flush the
   * target if it is {@link java.io.Flushable}.
   *

	if msg.DeadlineMS == 0 || msg.DeadlineMS > uint32(4*c.clientPingInterval/time.Millisecond) {
		go func() {
			wg.Wait()
			m.checkRemoteAlive()
		}()
	}
	return &m
}

// handleInbound sends unblocks when we have delivered the message to the handler.
func (m *muxServer) handleInbound(c *Connection, inbound <-chan []byte, handlerIn chan<- []byte) {
	for {
		select {
		case <-m.ctx.Done():
			return

 5. It sends the HTTP request and reads the response.

## Documentando o callback

O código real do callback dependerá muito do seu próprio aplicativo de API.

E provavelmente variará muito de um aplicativo para o outro.

Poderia ser apenas uma ou duas linhas de código, como:

```Python
callback_url = "https://example.com/api/v1/invoices/events/"
httpx.post(callback_url, json={"description": "Invoice paid", "paid": True})
```

internal communication only. It is not built for use in untrusted environments
or networks.

For performance reasons, the default TensorFlow server does not include any
authorization protocol and sends messages unencrypted. It accepts connections
from anywhere, and executes the graphs it is sent without performing any checks.
Therefore, if you run a `tf.train.Server` in your network, anybody with access

        )
    }
  }

  override fun cancel() {
    carrier.cancel()
  }

  /**
   * Prepares the HTTP headers and sends them to the server.
   *
   * For streaming requests with a body, headers must be prepared **before** the output stream has
   * been written to. Otherwise the body would need to be buffered!
   *

Ou, de outra forma, sem a necessidade deles, importe e use o código que precisar.

Qualquer integração é projetada para ser tão simples de usar (com dependências) que você pode criar um "plug-in" para suas aplicações com 2 linhas de código usando a mesma estrutura e sintaxe para as suas *operações de caminho*.

### Testado

* 100% <abbr title="A quantidade de código que é testada automaticamente">de cobertura de testes</abbr>.

      if (errorCode != null) {
        throw errorException ?: StreamResetException(errorCode!!)
      }
      throw IllegalStateException("too early; can't read the trailers yet")
    }
  }

  /**
   * Sends a reply to an incoming stream.
   *
   * @param outFinished true to eagerly finish the output stream to send data to the remote peer.
   *     Corresponds to `FLAG_FIN`.

     * initiated by the client (MSIE post requests after successful NTLM SSP
     * authentication). If false and the user has not been authenticated yet
     * the client will be forced to send an authentication (server sends
     * HttpServletResponse.SC_UNAUTHORIZED).
     * @return True if the negotiation is complete, otherwise false
     */
    protected NtlmPasswordAuthentication negotiate( HttpServletRequest req,

{!../../docs_src/python_types/tutorial001.py!}
```

### Edítalo

Es un programa muy simple.

Ahora, imagina que lo estás escribiendo desde cero.

En algún punto habrías comenzado con la definición de la función, tenías los parámetros listos...

Pero, luego tienes que llamar "ese método que convierte la primera letra en una mayúscula".

Era `upper`? O era `uppercase`? `first_uppercase`? `capitalize`?