import gradlebuild.docs.model.SimpleClassMetaDataRepository
import org.w3c.dom.Document
import org.w3c.dom.Element
/**
 * Generates the docbook source for the DSL reference guide.
 *
 * Uses the following as input:
 * <ul>
 * <li>Meta-data extracted from the source by {@link gradlebuild.docs.dsl.source.ExtractDslMetaDataTask}.</li>
 * <li>Meta-data about the plugins, in the form of an XML file.</li>

	if b.lastRead == opInvalid {
		return errUnreadByte
	}
	b.lastRead = opInvalid
	if b.off > 0 {
		b.off--
	}
	return nil
}

// ReadBytes reads until the first occurrence of delim in the input,
// returning a slice containing the data up to and including the delimiter.
// If ReadBytes encounters an error before finding a delimiter,
// it returns the data read before the error and the error itself (often [io.EOF]).

   * Constructs a {@code LinkedHashMultimap} with the same mappings as the specified multimap. If a
   * key-value mapping appears multiple times in the input multimap, it only appears once in the
   * constructed multimap. The new multimap has the same {@link Multimap#entries()} iteration order
   * as the input multimap, except for excluding duplicate mappings.
   *
   * @param multimap the multimap whose contents are copied to this multimap
   */

          for ((name, value) in response.headers) {
            println("$name: $value")
          }

          println(response.body!!.string())
        }
      }

      /**
       * Returns an input stream containing one or more certificate PEM files. This implementation just
       * embeds the PEM files in Java strings; most applications will instead read this from a resource
       * file that gets bundled with the application.

	QueueDir          string   `json:"queueDir"`
	QueueLimit        uint64   `json:"queueLimit"`
}

//lint:file-ignore ST1003 We cannot change these exported names.

// AMQP input constants.
const (
	AmqpQueueDir   = "queue_dir"
	AmqpQueueLimit = "queue_limit"

	AmqpURL               = "url"
	AmqpExchange          = "exchange"
	AmqpRoutingKey        = "routing_key"

        fmt.Println("Got result", resp)
        // Return the response for reuse
		instance.PutResponse(resp)
        return nil
    })
```

There are handlers for requests with:
 * No input stream: `RegisterNoInput`.
 * No initial payload: `RegisterNoPayload`.

Note that Responses sent for serialization are automatically reused for similar requests.

///

/// tip | "Tipp"

Beachten Sie, dass wir in diesem Fall eine Standard-Python-Funktion `open()` verwenden, die mit einer Datei interagiert.

Es handelt sich also um I/O (Input/Output), welches „Warten“ erfordert, bis Dinge auf die Festplatte geschrieben werden.

Aber `open()` verwendet nicht `async` und `await`.

        if cardinality <= 0 {
                return -1
        }
        sip := siphash.New(id[:])
        sip.Write([]byte(key))
        return int(sip.Sum64() % uint64(cardinality))
}
```

labels.userInfo=User Info
labels.webApiJson=JSON Response
labels.webConfigName=Web Config Name
labels.allLanguages=All Languages
labels.dictId=Dictionary ID
labels.docId=Document ID
labels.endTime=End Time
labels.hq=hq
labels.inputs=Source
labels.jobLogging=Logging
labels.jobName=Name
labels.jobStatus=Status
labels.labelTypeIds=Labels
labels.lang=lang
labels.outputs=Target
labels.pos=POS
labels.purgeJobLogDay=Purge Job Log Before

Luego, 🤖 cogerá la primera tarea finalizada (digamos, nuestro "archivo lento" 📝) y continuará con lo que tenía que hacer con esa tarea.

Esa "espera de otra cosa" normalmente se refiere a operaciones <abbr title = "Input and Output, en español: Entrada y Salida.">I/O</abbr> que son relativamente "lentas" (en relación a la velocidad del procesador y memoria RAM), como por ejemplo esperar por:

* los datos de cliente que se envían a través de la red