for (EventType type : EventType.values()) {
            eventCounters.put(type, new AtomicLong(0));
            eventTimings.put(type, new AtomicLong(0));
        }

        // Start async logging processor
        startAsyncProcessor();

        // Register shutdown hook
        Runtime.getRuntime().addShutdownHook(new Thread(this::shutdown));
    }

    private void startAsyncProcessor() {

* Suporte a **WebSocket**.
* Suporte a **GraphQL**.
* Tarefas em processo _background_.
* Eventos na inicialização e encerramento.
* Cliente de testes construído sobre HTTPX.
* Respostas em **CORS**, GZip, Static Files, Streaming.
* Suporte a **Session e Cookie**.

        public void addExclude(String urlPattern) {
        }

        @Override
        public boolean match(String url) {
            return true;
        }

        @Override
        public void processUrl(String url) {
        }

        @Override
        public void clear() {
        }
    }

    /**
     * Test implementation of RuleManager for testing
     */

        }

    }

    /**
     * Internal search method that executes the actual search query.
     *
     * This method performs the search using the rank fusion processor and may retry
     * with OR operator if the hit count is below the configured minimum threshold.
     *
     * @param query The search query string
     * @param params The search request parameters

        final Builder builder = Settings.builder()
                .putList("http.hosts", hosts)
                .put("processors", fessConfig.availableProcessors())
                .put("http.heartbeat_interval", fessConfig.getFesenHeartbeatInterval());
        final String username = fessConfig.getFesenUsername();

Por exemplo:

* **Processamento de áudio** ou **imagem**
* **Visão Computacional**: uma imagem é composta por milhões de pixels, cada pixel tem 3 valores / cores, processar isso normalmente exige alguma computação em todos esses pixels ao mesmo tempo

    /**
     * Get the value for the key 'processors'. <br>
     * The value is, e.g. 0 <br>
     * comment: Number of processors to use.
     * @return The value of found property. (NotNull: if not found, exception but basically no way)
     */
    String getProcessors();

    /**
     * Get the value for the key 'processors' as {@link Integer}. <br>
     * The value is, e.g. 0 <br>

job.max.crawler.processes=0
# Default script language for jobs.
job.default.script=groovy
# Pattern to filter system properties for jobs.
job.system.property.filter.pattern=

# Number of processors to use.
processors=0
# Path to Java command.
java.command.path=java
# Path to Python command.
python.command.path=python
# Encoding for file paths.
path.encoding=UTF-8

As noted already, programmers are strongly encouraged to use appropriate synchronization
to avoid data races.
In the absence of data races, Go programs behave as if all the goroutines
were multiplexed onto a single processor.
This property is sometimes referred to as DRF-SC: data-race-free programs
execute in a sequentially consistent manner.
</p>

<p>
While programmers should write Go programs without data races,

labels.crawlingThreadCount=Número de rastreamentos simultâneos
labels.boost=Valor de impulso
labels.crawlingConfigName=Nome
labels.crawlingConfigPath=Caminho a ser rastreado
labels.processType=Tipo de processo
labels.parameters=Parâmetros
labels.designFile=Arquivo para upload
labels.bulkFile=Arquivo em massa
labels.appendQueryParameter=Adicionar parâmetro de pesquisa
labels.configId=ID da configuração