* This method fetches stemmer override entries with pagination support, updating
     * the provided pager with the current page state and navigation information.
     *
     * @param dictId The ID of the stemmer override dictionary to query
     * @param stemmerOvberridePager The pager object for pagination control and state
     * @return A list of stemmer override items for the current page, or empty list if dictionary not found
     */

    /** Operation is not supported */
    public static final int ERROR_NOT_SUPPORTED = 0x00000032;
    /** Access denied to perform the operation */
    public static final int ERROR_ACCESS_DENIED = 0x00000005;
    /** Invalid state for the operation */
    public static final int ERROR_INVALID_STATE = 0x0000139F;

    /** Return code from the RPC operation */
    protected int returnCode = ERROR_SUCCESS;
    private int opnum;

    /**

from starlette.datastructures import Headers as Headers  # noqa: F401
from starlette.datastructures import QueryParams as QueryParams  # noqa: F401
from starlette.datastructures import State as State  # noqa: F401
from starlette.datastructures import UploadFile as StarletteUploadFile


class UploadFile(StarletteUploadFile):
    """
    A file uploaded in a request.

{
    "description": "TensorFlow is an end-to-end open source platform for machine learning. It has a comprehensive, flexible ecosystem of tools, libraries, and community resources that lets researchers push the state-of-the-art in ML and developers easily build and deploy ML-powered applications.",
    "license": "Apache-2.0",
    "title": "TensorFlow",
    "upload_type": "software",
    "creators": [
        {
            "name": "TensorFlow Developers"
        }

import org.codelibs.fess.util.ComponentUtil;

/**
 * Pager for related content management that provides pagination functionality
 * for displaying related content items in the admin interface.
 * This class handles pagination state including current page number, page size,
 * total record count, and navigation controls.
 */
public class RelatedContentPager implements Serializable {

    /**
     * Default constructor.
     */

    private SmbTree tree;

    @BeforeEach
    void resetMocks() {
        Mockito.reset(session, transport, tree);
    }

    // Happy path: isInUse returns the mocked state
    @ParameterizedTest
    @DisplayName("isInUse reflects current mocked state")
    @ValueSource(booleans = { true, false })
    void isInUse_variants(boolean inUse) {
        when(session.isInUse()).thenReturn(inUse);

		for _, set := range s.sets {
			for _, disk := range set.getDisks() {
				if disk == OfflineDisk {
					continue
				}
				stats, err := disk.StatInfoFile(ctx, volume, file, true)
				if err != nil {
					continue
				}
				for _, si := range stats {
					found++
					var r io.ReadCloser
					if !si.Dir {
						r, err = disk.ReadFileStream(ctx, volume, si.Name, 0, si.Size)
						if err != nil {

   * the arithmetic mean of the population.
   *
   * @param values a nonempty series of values
   * @throws IllegalArgumentException if {@code values} is empty or contains any non-finite value
   * @deprecated Use {@link Stats#meanOf} instead, noting the less strict handling of non-finite
   *     values.
   */
  @Deprecated
  // com.google.common.math.DoubleUtils
  @GwtIncompatible
  public static double mean(double... values) {

			}
		case "Format":
			z.Format, err = dc.ReadString()
			if err != nil {
				err = msgp.WrapError(err, "Format")
				return
			}
		case "Stat":
			err = z.Stat.DecodeMsg(dc)
			if err != nil {
				err = msgp.WrapError(err, "Stat")
				return
			}
		case "Erasure":
			err = z.Erasure.DecodeMsg(dc)
			if err != nil {
				err = msgp.WrapError(err, "Erasure")
				return
			}

            "type" : "keyword"
          },
          "roles" : {
            "type" : "keyword"
          },
          "roomNumber" : {
            "type" : "keyword"
          },
          "state" : {
            "type" : "keyword"
          },
          "street" : {
            "type" : "keyword"
          },
          "surname" : {
            "type" : "keyword"
          },