return target.store.Del(key)
}

// Close - closes underneath connections to NSQD server.
func (target *NSQTarget) Close() (err error) {
	close(target.quitCh)
	if target.producer != nil {
		// this blocks until complete:
		target.producer.Stop()
	}
	return nil
}

func (target *NSQTarget) init() error {
	return target.initOnce.Do(target.initNSQ)
}

func (target *NSQTarget) initNSQ() error {

## OAuth2 { #oauth2 }

OAuth2 é uma especificação que define várias formas para lidar com autenticação e autorização.

Ela é bastante extensiva na especificação e cobre casos de uso muito complexos.

Ela inclui uma forma para autenticação usando “third party”/aplicações de terceiros.

Isso é o que todos os sistemas com “Login with Facebook, Google, X (Twitter), GitHub” usam por baixo.

### OAuth 1 { #oauth-1 }

java.net.Inet4Address#getHostAddress()
java.net.Inet6Address#getHostAddress()
java.net.InetSocketAddress#toString()

@defaultMessage avoid DNS lookups by accident: if you have a valid reason, then @SuppressWarnings with that reason so its completely clear
java.net.InetAddress#getHostName()
java.net.InetAddress#getCanonicalHostName()

java.net.InetSocketAddress#getHostName() @ Use getHostString() instead, which avoids a DNS lookup

C'est une spécification assez vaste qui couvre plusieurs cas d'utilisation complexes.

Elle inclut des moyens de s'authentifier en utilisant un « tiers ».

C'est ce que tous les systèmes avec « connexion avec Facebook, Google, X (Twitter), GitHub » utilisent en arrière-plan.

### OAuth 1 { #oauth-1 }

            }
            final LlmChatResponse response = client.chat(request);
            if (logger.isDebugEnabled()) {
                logger.debug("[LLM] LLM chat request completed. llmType={}", llmType);
            }
            return response;
        } catch (final LlmException e) {

          readyTask != null -> {
            multipleReadyTasks = true
            break@eachQueue
          }

          // We have a task to execute when we complete the loop.
          else -> {
            readyTask = candidate
          }
        }
      }

      // Implement the decision.
      when {
        // We have a task ready to go. Get ready.

	\
	Write-Host 'Verifying pip install ...'; \
	C:\python312\python.exe -m pip --version; \
	\
	Write-Host 'Removing ...'; \
	Remove-Item C:\tmp\pyinstall.exe -Force; \
	\
	Write-Host 'Complete.';

# Install pip packages.
RUN python -m pip install --ignore-installed --force-reinstall --upgrade \
    setuptools packaging

# Install JDK 21.
RUN \

// for the local lock mutex.
// We do not block unlocking or maintenance, but they add to the count.
// The limit is set to allow for bursty behavior,
// but prevent requests to overload the server completely.
// Rejected clients are expected to retry.
const lockMutexWaitLimit = 1000

// lockRequesterInfo stores various info from the client for each lock that is requested.
type lockRequesterInfo struct {

            logger.info("[RAG:EVAL] Evaluation completed. hasRelevant={}, relevantCount={}, totalResults={}, elapsedTime={}ms",
                    result.isHasRelevantResults(), result.getRelevantDocIds().size(), searchResults.size(),
                    System.currentTimeMillis() - startTime);
            if (logger.isDebugEnabled()) {
                logger.debug("[RAG:EVAL] Result evaluation completed. hasRelevant={}, relevantDocIds={}, elapsedTime={}ms",

Tienden a requerir configuraciones más complejas, un gestor de cola de mensajes/trabajos, como RabbitMQ o Redis, pero te permiten ejecutar tareas en segundo plano en múltiples procesos, y especialmente, en múltiples servidores.