* Nearly all declarations in this class are package-private,
   * accessed directly by subclasses.
   *
   * Table entries are of class Cell; a variant of AtomicLong padded
   * to reduce cache contention on most processors. Padding is
   * overkill for most Atomics because they are usually irregularly
   * scattered in memory and thus don't interfere much with each
   * other. But Atomic objects residing in arrays will tend to be

        return System.getProperty(TOMCAT_CONFIG_PATH);
    }

    /**
     * Sets up the web application context with Fess-specific configurations.
     * Configures the web resource root and cookie processor for the context.
     */
    @Override
    protected void setupWebappContext() {
        super.setupWebappContext();
        String contextPath = getContextPath();

<img src="/img/tutorial/generate-clients/image07.png">

Como você pode ver, os nomes dos métodos agora têm a tag e, em seguida, o nome da função. Agora eles não incluem informações do caminho da URL e da operação HTTP.

### Pré-processar a Especificação OpenAPI para o Gerador de Clientes

O código gerado ainda tem algumas **informações duplicadas**.

import java.util.concurrent.CountDownLatch;
import java.util.concurrent.atomic.AtomicInteger;

import org.codelibs.fess.crawler.entity.ResponseData;
import org.codelibs.fess.crawler.processor.ResponseProcessor;
import org.dbflute.utflute.core.PlainTestCase;

/**
 * Test class for RuleManager interface.
 * Tests the contract and behavior of RuleManager implementations.
 */

        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() {

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

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

        }

    }

    /**
     * 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

    /**
     * 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