import java.util.HashMap;
import java.util.LinkedHashMap;
import java.util.LinkedList;
import java.util.List;
import java.util.Map;

class Graph {
    private enum DfsState {
        VISITING,
        VISITED
    }

    final Map<String, Vertex> vertices = new LinkedHashMap<>();

    public Vertex getVertex(String id) {
        return vertices.get(id);
    }

    public Collection<Vertex> getVertices() {

    fun visitTree(
        classDetails: ClassDetails,
        classesDir: File,
        jarOutputStream: JarOutputStream,
        visited: MutableSet<ClassDetails>
    ) {

        if (!visited.add(classDetails)) {
            return
        }
        if (classDetails.visited) {
            val fileName = classDetails.outputClassFilename
            val classFile = classesDir.resolve(fileName)

 * }</pre>
 *
 * <p>One {@code Type} is visited at most once. The second time the same type is visited, it's
 * ignored by {@link #visit}. This avoids infinite recursion caused by recursive type bounds.
 *
 * <p>This class is not thread safe.
 *
 * @author Ben Yu
 */
@ElementTypesAreNonnullByDefault
abstract class TypeVisitor {

  private final Set<Type> visited = Sets.newHashSet();

  /**

//     Optional value, default 1000, range: 1-unlimited (S3 standard maximum is 1000 and should not be set higher)
//
//   - <StorageConcurrentTasksLimit>
//     Setting reduces the parallel Repository Task slots that offload or write data to object storage. The same user interface
//     setting overwrites the storage-defined setting.
//     Optional value, default 0, range: 0-unlimited (0 equals unlimited, which means the maximum configured repository task

Utilizar `UploadFile` tem várias vantagens sobre `bytes`:

* Você não precisa utilizar o `File()` no valor padrão do parâmetro.
* Ele utiliza um arquivo "spooled":
    * Um arquivo armazenado na memória até um limite máximo de tamanho, e após passar esse limite, ele será armazenado no disco.
* Isso significa que funcionará bem para arquivos grandes como imagens, vídeos, binários grandes, etc., sem consumir toda a memória.
* Você pode receber metadados do arquivo enviado.

        final CrawlerContext crawlerContext = CrawlingParameterUtil.getCrawlerContext();
        final UrlQueueService<UrlQueue<?>> urlQueueService = CrawlingParameterUtil.getUrlQueueService();
        if (!urlQueueService.visited(urlQueue)) {
            if (checkAccessCount(crawlerContext)) {
                final AccessResult<?> accessResult = createAccessResult(responseData, resultData);
                if (logger.isDebugEnabled()) {

    TypeVisitor visitor = new BaseTypeVisitor();
    try {
      visitor.visit(type);
      fail("Type not visited");
    } catch (UnsupportedOperationException expected) {
    }
    try {
      visitor.visit(new Type[] {type});
      fail("Type not visited");
    } catch (UnsupportedOperationException expected) {
    }
  }

  private static class BaseTypeVisitor extends TypeVisitor {

			clause.Limit{Limit: &limit10, Offset: 20},
			clause.OrderBy{Columns: []clause.OrderByColumn{{Column: clause.PrimaryColumn, Desc: true}}},
		}

		for _, clause := range clauses {
			stmt.AddClause(clause)
		}

		stmt.Build("SELECT", "FROM", "WHERE", "GROUP BY", "LIMIT", "ORDER BY")
		_ = stmt.SQL.String()
	}

option go_package = "k8s.io/api/autoscaling/v2beta2";

// ContainerResourceMetricSource indicates how to scale on a resource metric known to
// Kubernetes, as specified in requests and limits, describing each pod in the
// current scale target (e.g. CPU or memory).  The values will be averaged
// together before being compared to the target.  Such metrics are built in to

    public void saveSession(final String sessionId) {
        // NOP
    }

    /*
     * (non-Javadoc)
     *
     * @see org.codelibs.fess.crawler.service.UrlQueueService#visited(UrlQueue)
     */
    @Override
    public boolean visited(final UrlQueueImpl<Long> urlQueue) {
        final Queue<UrlQueueImpl<Long>> urlQueueList = dataHelper.getUrlQueueList(urlQueue.getSessionId());
        synchronized (urlQueueList) {