try (RankFusionProcessor processor = new RankFusionProcessor()) {
            processor.setSearcher(new TestSearcher(100));
            processor.register(new TestSearcher(0)); // Empty searcher
            processor.register(new TestSearcher(50)); // Half-full searcher
            processor.init();

A container is running as long as the **main process** (command or program) is running.

A container normally has a **single process**, but it's also possible to start subprocesses from the main process, and that way you will have **multiple processes** in the same container.

But it's not possible to have a running container without **at least one running process**. If the main process stops, the container stops.

        final CountDownLatch endLatch = new CountDownLatch(numThreads);
        final AtomicInteger registeredCount = new AtomicInteger(0);

        try (RankFusionProcessor processor = new RankFusionProcessor()) {
            processor.setSearcher(new TestSearcher(100));
            processor.init();

            final ExecutorService executor = Executors.newFixedThreadPool(numThreads);
            try {
                for (int i = 0; i < numThreads; i++) {

## Decision

1. The Gradle distribution will never include a Java runtime.
   Instead, Gradle will leverage Java toolchains for the Daemon and worker processes.
2. The Gradle Daemon, Worker processes, and Tooling API client will continue to support running on different Java versions during a single Gradle invocation.
   The exact versions supported will be determined by the Gradle version.

        def testError2 = Mock(Throwable)

        when:
        processor.started(rootDescriptor, rootTestStartEvent)
        processor.started(testDescriptor1, testStartEvent1)
        processor.started(testDescriptor2, testStartEvent2)
        processor.failure("testId2", testError2)
        processor.completed("rootId", rootCompleteEvent)

        then:

	processIOReadBytesMD              = NewCounterMD(processIOReadBytes, "Total bytes read by the process from the underlying storage system, /proc/[pid]/io read_bytes")

	<component name="sitemapsRule" class="org.codelibs.fess.crawler.rule.impl.SitemapsRule" >
		<property name="ruleId">"sitemapsRule"</property>
		<property name="responseProcessor">
			<component class="org.codelibs.fess.crawler.processor.impl.SitemapsResponseProcessor">
			</component>
		</property>
		<postConstruct name="addRule">
			<arg>"url"</arg>
			<arg>"http[s]?:.*sitemap[^/]*\.xml.*|http[s]?:.*sitemap[^/]*\.gz.*|http[s]?:.*sitemap[^/]*\.txt.*"</arg>

        } catch (JobProcessingException e) {
            assertTrue(e.getMessage().contains("10 crawler processes are running"));
            assertTrue(e.getMessage().contains("Max processes are 5"));
        }
    }

    // Test execute method with no max process limit
    @Test
    public void test_execute_noMaxProcessLimit() {
        // Setup test
        crawlJob = new CrawlJob() {

import org.opensearch.search.aggregations.bucket.terms.Terms;

import com.google.common.io.BaseEncoding;

/**
 * Response object for faceted search results containing query counts and field facets.
 * This class processes OpenSearch aggregations to provide structured facet information
 * for search result filtering and navigation.
 */
public class FacetResponse {
    /**

            this.modularJar = requireType(Type.MODULAR_JAR);
            this.processor = requireType(Type.PROCESSOR);
            this.classpathProcessor = requireType(Type.CLASSPATH_PROCESSOR);
            this.modularProcessor = requireType(Type.MODULAR_PROCESSOR);
            this.needsDerive = Set.of(Type.PROCESSOR, Type.CLASSPATH_PROCESSOR, Type.MODULAR_PROCESSOR);
            this.stack = new ArrayDeque<>();
        }